Compare commits

..

233 Commits

Author SHA1 Message Date
Matt Van Horn 0c6358ab98 fix(bluesky): surface real error instead of misleading "auth failed"
When Cloudflare blocks requests to bsky.social or public.api.bsky.app
with a 403, the error was swallowed by a generic except clause and
reported as "Bluesky auth failed" - misleading users into thinking
their credentials were wrong.

Now _create_session() preserves the specific error in _session_error,
and search_bluesky() surfaces it. Cloudflare 403s get a clear message
about network-level blocks. Actual 401s say "Invalid credentials".

Closes #69

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-03-15 22:13:28 -07:00
Matt Van Horn 7ffa508bb4 feat(last30days): improve ClawHub discoverability - description, tags
Updated frontmatter description to be more search-friendly for ClawHub.
Added 12 new tags: deep-research, twitter, bluesky, recency, news,
citations, multi-source, social-media, analysis, web-search, ai-skill,
clawhub. Also added 11 GitHub repo topics.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-03-15 17:27:53 -07:00
Matt Van Horn c2e18dbbeb fix(skill): use full /last30days name in comparison follow-up suggestions
The short alias /last30 only works on some platforms. Claude Code requires
the full /last30days name, so the follow-up suggestions after comparison
research were producing "Unknown skill: last30" errors.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-03-14 07:55:17 -07:00
Matt Van Horn 52a22f5cb1 Merge pull request #65 from j-sperling/feat/search-quality-consolidation
Consolidate query/relevance modules and improve search quality
2026-03-14 07:31:24 -07:00
Matt Van Horn 3830274e11 Merge pull request #67 from j-sperling/feat/query-type-source-tiering
Add query-type-aware source tiering and scoring
2026-03-14 07:30:06 -07:00
Matt Van Horn 569745c0ed Merge pull request #66 from j-sperling/fix/endpoint-model-updates
Fix stale API endpoints and model identifiers
2026-03-14 07:29:56 -07:00
Jeffrey Sperling 058c4e1899 Classify prompt and animation queries earlier
Map prompt-oriented product searches and animation-oriented build searches away from the breaking-news default so source tiering and tiebreakers align with the benchmark topics.

Validation: uv run python -m unittest tests.test_query_type
2026-03-14 00:38:59 -07:00
Jeffrey Sperling c711e443fe Reduce Reddit and Polymarket false positives
Weight Reddit relevance toward titles, stop Polymarket from expanding low-signal standalone terms, and prevent short binary outcomes from matching unrelated queries.

Validation: uv run python -m unittest tests.test_reddit_sc tests.test_polymarket
2026-03-14 00:38:52 -07:00
Jeffrey Sperling 8c1dce95e8 Harden local search evaluation harness
Isolate eval subprocesses from local yt-dlp config and fix nDCG normalization against the judged pool.

Validation: uv run python -m unittest tests.test_evaluate_search_quality
2026-03-14 00:38:43 -07:00
Jeffrey Sperling 3a0f3d8b19 Accept GOOGLE_API_KEY for local Gemini eval
This workspace uses GOOGLE_API_KEY as the canonical Google credential. Accept it ahead of the Gemini-specific aliases so the local evaluation harness can run without a separate GEMINI_API_KEY export.

Validation: uv run python -m unittest tests.test_env_project tests.test_evaluate_search_quality and a one-shot keychain-backed resolution check.
2026-03-13 19:25:29 -07:00
Jeffrey Sperling 8eda5fad5c Add local search quality evaluation harness
Add an optional local evaluator that compares a baseline revision against a candidate checkout, computes deterministic stability metrics, and can call Gemini for judged ranking metrics when configured.

The harness isolates child runs with a temporary HOME and a node-free PATH so historical revisions cannot trigger Bird browser-cookie auth during evaluation.

Validation: uv run python -m unittest and local smoke/full deterministic eval runs.
2026-03-13 19:21:33 -07:00
Jeffrey Sperling 946af84f9a Tighten relevance scoring and Polymarket ranking
Score against original user intent on Reddit, remove the artificial low-end relevance floor, and make Polymarket semantics dominate generic market quality signals.

Also apply the relevance filter to Polymarket and update the affected cross-source tests.

Validation: uv run python -m unittest
2026-03-13 19:21:25 -07:00
Jeffrey Sperling 0e46c7cb33 Pass X auth through handle drilldowns
Phase-2 Bird handle searches were still spawning Node without the injected AUTH_TOKEN/CT0 env. That left the search pipeline vulnerable to Chrome keychain prompts whenever a query drilled into X handles.

Pass the popup-safe subprocess env through those handle searches and cover it with a regression test.
2026-03-13 01:09:03 -07:00
Jeffrey Sperling b489663450 Loosen source tiering for usage queries
Classify prompting and animation queries as how_to so the stack does not treat them as generic breaking news. Also keep X available for how_to and preserve YouTube/HN coverage for breaking-news and prediction queries.

Validated with uv run python -m unittest tests.test_query_type and the five-query local comparison run used for PR #65 review.
2026-03-13 01:08:28 -07:00
Jeffrey Sperling 3aaf31b08d Document env-based X auth flow
Update README, launch copy, and UI guidance to prefer popup-free AUTH_TOKEN/CT0 configuration, and keep X backend selection on the verified Bird or xAI paths.

Validation: uv run python -m unittest tests.test_env_project
2026-03-12 21:07:09 -07:00
Jeffrey Sperling dd9a3f1482 Disable browser cookie fallback for local X auth
Prefer injected AUTH_TOKEN/CT0 for bundled Bird, disable browser-cookie probing in repo-invoked subprocesses, and keep repo-invoked yt-dlp from inheriting browser-cookie settings.

Validation: uv run python -m unittest tests.test_bird_x tests.test_youtube_yt
2026-03-12 21:07:04 -07:00
Jeffrey Sperling cbee987f65 Extract relevance_filter, add Bluesky/TruthSocial type hint + test coverage
- Extract _relevance_filter from last30days.py closure to score.relevance_filter()
  for testability
- Add BlueskyItem/TruthSocialItem to sort_items() type hint (was missing despite
  being in _ITEM_SOURCE_MAP)
- Add tests: Bluesky/TruthSocial engagement scoring, sort_items mixed sources,
  relevance_filter behavior (threshold, minimum-result guarantee, missing attr),
  select_openai_model HTTP 401/403 error paths
2026-03-11 19:09:06 -07:00
Jeffrey Sperling d8d2b97716 Gitignore mise.toml instead of removing it
Dev environment tool config is useful locally but shouldn't be tracked.
2026-03-11 19:01:33 -07:00
Jeffrey Sperling 036bcd2ae3 Address review feedback: deduplicate query_type, clean unused imports, fix defaults
- Remove duplicate detect_query_type from query.py (divergent 5-type version);
  canonical 7-type version lives in query_type.py
- Fix reddit.py import to use query_type.detect_query_type
- Clean unused STOPWORDS/SYNONYMS/tokenize imports from youtube_yt, instagram,
  tiktok, scrapecreators_x, bird_x after relevance consolidation
- Fix _relevance_filter default from 0.7 to 0.0 (items without relevance
  should not silently pass the filter)
- Remove --dateafter from yt-dlp (returns 0 results for evergreen topics)
- Remove restrictSearchableAttributes from HN search (misses Ask/Show HN)
- Lower HN points filter from >5 to >2 (avoids filtering niche posts)
- Add error logging to select_openai_model HTTP failures
- Remove mise.toml and internal planning doc from repo
- Update module docstrings to describe current purpose, not migration history
- Update tests to import from canonical relevance module
2026-03-11 18:40:07 -07:00
Jeffrey Sperling 6c402f66b7 Update plan to reflect single upstream PR strategy 2026-03-11 18:32:45 -07:00
Jeffrey Sperling 046795c4ae Add post-retrieval relevance filtering across all sources
Filter items with relevance < 0.3 per source after dedup, but only
when list has >3 items. Extends the Reddit-only minimum-result
guarantee to all sources: keeps top 3 by relevance if all filtered.

This works with the computed relevance scores from the previous commit
to actually remove off-topic results from the final report.
2026-03-11 18:32:45 -07:00
Jeffrey Sperling 1002f1f020 Add platform-specific query optimizations
- hackernews: use extract_core_subject instead of raw topic, add
  points>5 filter and restrictSearchableAttributes=title to reduce
  noise from URL-match and low-signal posts
- youtube: add --dateafter parameter to yt-dlp for server-side date
  filtering (Python soft filter still handles fallback)
- reddit: skip opinion/review query variant for how_to/comparison
  queries where it adds noise
- bird_x: add OR-group retry with compound terms before falling back
  to word-dropping (uses X OR operator for multi-concept queries)
- query.py: add detect_query_type() and extract_compound_terms()
2026-03-11 18:32:45 -07:00
Jeffrey Sperling c5be117701 Replace hardcoded 0.7 relevance with computed token-overlap scores
- bird_x: parse_bird_response now accepts query param and computes
  token_overlap_relevance against tweet text
- reddit: _normalize_post computes relevance from query vs title+selftext
- hackernews: blends 60% Algolia rank + 40% token overlap + engagement

This makes the 45%-weight relevance factor in score.py actually
differentiate results instead of being a constant.
2026-03-11 18:32:45 -07:00
Jeffrey Sperling 38caae3288 Add mise.toml for Python version pinning and implementation plan
Pin Python 3.12 via mise for consistent local development.
Add plan document for the query/relevance consolidation work.
2026-03-11 18:32:45 -07:00
Jeffrey Sperling 96948cc7c0 Deduplicate relevance code across youtube/tiktok/instagram/scrapecreators_x
Replace duplicated STOPWORDS, SYNONYMS, _tokenize, and _compute_relevance
in four modules with imports from the shared relevance.py module.

Existing tests pass unchanged since modules re-export the functions
under the same names via import aliases.
2026-03-11 18:32:45 -07:00
Jeffrey Sperling dc88c215be Integrate shared query.py into per-source modules
Replace duplicated _extract_core_subject() in bird_x, reddit, youtube_yt,
tiktok, instagram, bluesky, and scrapecreators_x with thin wrappers that
delegate to query.extract_core_subject() with platform-specific noise sets.

Each module preserves its current behavior exactly:
- bird_x: max_words=5, strip_suffixes=True, full noise set
- youtube_yt: keeps tips/tricks/tutorial/guide/review (content types)
- reddit: preserves original smaller noise set
- tiktok/instagram: same small noise set
- bluesky/scrapecreators_x: minimal noise set

Existing tests pass without modification since _extract_core_subject()
still exists as a callable on each module.
2026-03-11 18:32:45 -07:00
Jeffrey Sperling fa42a5d031 Add urllib fallback for TikTok/Instagram when requests unavailable
Previously tiktok.py and instagram.py returned an error when the
requests library was not installed. Reddit already had an http.get()
fallback using stdlib urllib. Apply the same pattern so all three
ScrapeCreators modules work without requests installed.
2026-03-11 18:32:45 -07:00
Jeffrey Sperling d667586597 Add shared query.py and relevance.py modules
Consolidate duplicated _extract_core_subject() (7 copies across bird_x,
reddit, youtube_yt, tiktok, instagram, bluesky, scrapecreators_x) into
query.extract_core_subject() with parameterized noise set, max_words,
and suffix stripping.

Consolidate duplicated _tokenize/_compute_relevance/STOPWORDS/SYNONYMS
(4 copies across youtube_yt, tiktok, instagram, scrapecreators_x) into
relevance.token_overlap_relevance() with hashtag-aware matching.

Integration into per-module imports follows in next commits.
2026-03-11 18:32:45 -07:00
Jeffrey Sperling ce8e289692 Address review feedback: fix tiebreaker map, error handling, regex patterns
- Add BlueskyItem/TruthSocialItem to _ITEM_SOURCE_MAP (wrong tiebreaker)
- Add bluesky/truthsocial to _DEFAULT_TIEBREAKER
- Log HTTPError in select_openai_model instead of silent fallback
- Remove overly broad 'or.*for' from comparison regex (false positives)
- Remove bare 'will' from prediction regex (misclassifies feature queries)
- Narrow brave_search except clauses to ValueError/TypeError
- Fix stale comments: pricing table, docstrings, penalty descriptions
2026-03-11 18:32:37 -07:00
Jeffrey Sperling 588cff3e00 Optimize model selection for cost-efficiency on structured extraction
The task profile is search tool invocation + JSON extraction — not
reasoning or creative work. Mini models handle this equally well at
3-5x lower cost per call.

OpenAI changes:
- Rename is_mainline_openai_model -> is_search_capable_model
- Include mini variants (gpt-5-mini, gpt-4.1-mini) in candidate pool
- Exclude gpt-4o-mini (no domain filtering) and nano (no web_search)
- select_openai_model() now prefers mini within newest generation
- OPENAI_FALLBACK_MODELS: gpt-5-mini first, mainline as last resort
- MODEL_FALLBACK_ORDER: same mini-first ordering

xAI changes:
- Switch alias from grok-4-1-fast (reasoning) to
  grok-4-1-fast-non-reasoning — same token price, faster response,
  no wasted reasoning tokens for structured extraction

Cost per Reddit search call: ~$0.015 (gpt-5-mini) vs ~$0.044 (gpt-4.1)
2026-03-11 18:05:09 -07:00
Jeffrey Sperling 859f6c5829 Add Brave LLM Context endpoint as opt-in web search mode
Brave's /res/v1/llm/context returns pre-extracted text chunks
optimized for LLM consumption instead of URLs + short snippets.
Enable with BRAVE_LLM_CONTEXT=1 env var; same API key and pricing.

- Add _search_llm_context() and _normalize_llm_context() to brave_search.py
- Wire opt-in flag through _search_web() in last30days.py
- Update module docstring (free tier eliminated Feb 2026)
- Add 23 tests covering normalization, filtering, date parsing
2026-03-11 18:04:43 -07:00
Jeffrey Sperling 4fde52459d Filter Polymarket results to active events only
Add events_status=active and keep_closed_markets=0 to Gamma API
search params, filtering out resolved/closed markets that clutter results.
These params are confirmed in the Polymarket OpenAPI spec.
2026-03-11 18:04:43 -07:00
Jeffrey Sperling ef7c0f05dd Add query-type-aware source tiering and scoring
Detect query type (product/concept/opinion/how_to/comparison/breaking_news/
prediction) via lightweight regex patterns and use it for:

1. Source selection: each query type has tier-1 (always run) and tier-2
   (run if available) sources. Unlisted sources are opt-in only.
   Truth Social is always opt-in regardless of query type.

2. WebSearch penalty: varies by query type instead of flat -15pt.
   Concept queries get 0 penalty (web docs are authoritative),
   how_to gets 5pt, breaking_news gets 10pt, product/opinion get 15pt.

3. Tiebreaker ordering: source priority varies by query type.
   YouTube ranks first for how_to, Polymarket for prediction,
   HN for concept queries, X for breaking news.

All changes are backward-compatible: callers that don't pass query_type
get the original behavior (15pt penalty, Reddit > X > YouTube tiebreaker).
2026-03-11 18:04:43 -07:00
Jeffrey Sperling e568ef8af9 Revert MODEL_FALLBACK_ORDER to upstream values
Model optimization (mini-first fallback, is_search_capable_model) belongs
in PR #67. This PR stays focused on endpoint/API fixes only.

Also fixes pre-existing test bug where test asserted gpt-4o was first in
MODEL_FALLBACK_ORDER when it was actually gpt-4.1.
2026-03-11 18:02:33 -07:00
Jeffrey Sperling 3e9e2f632b Update stale API endpoints and model chains
- Instagram: migrate /v1/ to /v2/ ScrapeCreators endpoint (v1 deprecated Feb 2026)
- OpenAI: switch fallback chain to [gpt-5-mini, gpt-4.1-mini, gpt-4.1] (8x cheaper,
  gpt-5-mini is the first mini model supporting web_search with filters.allowed_domains)
- xAI: use explicit grok-4-1-fast-non-reasoning (bare name aliases to reasoning variant)
- xAI: pass from_date/to_date natively to x_search tool config instead of prompt-only
- Polymarket: correct rate limit comment (15K/10s, not 350/10s)
2026-03-11 16:42:49 -07:00
Jeffrey Sperling 9ca84e495e Fix stale test assertions and truthsocial pytest dependency
- test_models: update xAI model expectations to grok-4-1-fast (matching
  current XAI_POLICY_MAP)
- test_openai_reddit: update fallback order assertion to gpt-4.1 (matching
  current MODEL_FALLBACK_ORDER)
- test_codex_auth: expect 'reddit' not 'web' when no API keys (Reddit
  is available via public JSON fallback)
- test_truthsocial: convert from pytest-style classes to unittest.TestCase,
  fix import path to use sys.path.insert pattern (matching all other tests)
2026-03-11 16:35:55 -07:00
Matt Van Horn b38703e53d feat(truthsocial): Add Truth Social as opt-in source
Mastodon-compatible API at truthsocial.com/api/v2/search.
Opt-in via TRUTHSOCIAL_TOKEN env var (bearer token from browser).
Silent when unconfigured. Full pipeline: search, parse, normalize,
score, dedupe, render across all 10 pipeline files.

27 new tests, 440 total passing.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-10 00:14:39 -07:00
Matt Van Horn b6fd5ff406 docs: v2.9.5 README update, fix plugin.json hooks (#62)
- Fix plugin.json hooks field from invalid array to empty object
- Add Claude Code plugin install above ClawHub badge
- Version bump to v2.9.5 with new features block (Bluesky, comparative
  mode, ScrapeCreators X, per-project env, expanded tests)
- Add Bluesky to all source list references
- Document BSKY_HANDLE/BSKY_APP_PASSWORD env vars in install + optional sections

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-09 23:40:07 -07:00
Matt Van Horn adb5a672d9 fix(bluesky): make Bluesky opt-in with app password auth
searchPosts endpoint now returns 403 for unauthenticated requests.
Add session auth via createSession, gate on BSKY_HANDLE + BSKY_APP_PASSWORD
env vars. When unconfigured, Bluesky is completely invisible (no error).

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-09 23:27:39 -07:00
Matt Van Horn ecf90c0281 feat(skill): add comparative mode and Bluesky references to SKILL.md
Add COMPARISON query type for "X vs Y" research with 3 parallel passes.
Add Bluesky stats line and update all source list references.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-09 22:58:21 -07:00
Matt Van Horn 9a1059ee9d feat(bluesky): add Bluesky/AT Protocol as social source
Free, no-auth-required search via public.api.bsky.app.
Always-on like HN and Polymarket (no API key needed).

- New scripts/lib/bluesky.py: search + parse via AT Protocol
- BlueskyItem schema, normalization, scoring, deduplication
- Wired into orchestrator ThreadPoolExecutor with timeout config
- Rendering in compact, full, and JSON output modes
- 14 unit tests covering parsing, dates, relevance, edge cases
- --search=bluesky / --search=bsky for bluesky-only mode

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-09 22:54:20 -07:00
Matt Van Horn 4b7087e136 feat(x): add ScrapeCreators as X/Twitter search backend
One SCRAPECREATORS_API_KEY now covers Reddit, TikTok, Instagram, AND X.
Priority: Bird (free) > xAI API > ScrapeCreators (shared key).

New module scrapecreators_x.py follows the same pattern as tiktok.py.
Updated env.py source routing and last30days.py orchestrator dispatch.
Includes 20 unit tests.

Fixes #55.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-09 22:34:39 -07:00
Matt Van Horn 82a006280e Merge pull request #58 from phjlljp/feat/session-start-config-check
feat: add SessionStart hook for config check
2026-03-09 21:55:57 -07:00
Matt Van Horn a7398c50cc Merge pull request #59 from phjlljp/feat/per-project-env-config
feat: add per-project .env config support
2026-03-09 21:55:51 -07:00
Matt Van Horn b1a0e2bcfc Merge pull request #57 from phjlljp/feat/smoke-tests-edge-cases
test: add smoke tests and edge case coverage
2026-03-09 21:55:44 -07:00
Matt Van Horn 75e4b8e2cd Merge pull request #56 from phjlljp/feat/unit-tests-untested-modules
test: add unit tests for untested modules
2026-03-09 21:55:42 -07:00
Matt Van Horn 25e27bdade fix(skill): unquote $ARGUMENTS and add marketplace plugin path
- Remove double quotes around $ARGUMENTS so argparse can parse flags
  like --deep, --store separately instead of as part of the topic string.
  Fixes #61.

- Add ~/.claude/plugins/marketplaces/last30days-skill to the path
  discovery loop so marketplace installs can find scripts/.
  Fixes #54.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-09 21:55:24 -07:00
P 3e3615e2c8 feat: add per-project .env config support
Add per-project configuration via .claude/last30days.env, discovered by
walking up from cwd. Uses the same .env format as the existing global
config — no new parsers or formats.

Priority (highest wins):
  1. Environment variables
  2. .claude/last30days.env (per-project)
  3. ~/.config/last30days/.env (global)

Also adds file permission checking — warns to stderr if config files
are readable by other users (should be chmod 600).

Includes tests for discovery, precedence, source tracking, and
permission warnings.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-09 16:48:23 -04:00
P 9a58fe6481 feat: add SessionStart hook for config check
Add a lightweight hook that runs on session start to check if any
API keys are configured. Warns users if no config is found and
checks file permissions on existing config files.

Checks (in order): .claude/last30days.env, ~/.config/last30days/.env,
OPENAI_API_KEY env var, SCRAPECREATORS_API_KEY env var.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-09 16:47:36 -04:00
P 4756c20ec0 refactor: match upstream unittest convention
Convert all new tests from bare pytest style to unittest.TestCase
with sys.path.insert, matching the convention used by all existing
tests. Remove pyproject.toml and conftest.py.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-09 16:43:04 -04:00
P 8a9f734d14 test: add smoke tests and edge case coverage
Add end-to-end smoke tests and expand coverage for score and render modules:

- test_smoke.py (new): subprocess tests for --diagnose, --help, --mock,
  and missing topic. Validates exit codes, JSON structure, and source
  detection (HN/Polymarket always available).
- test_score.py: add TestCommentQualityWeight (top_comment_score boost),
  TestInstagramEngagement (basic scoring, views vs likes weighting)
- test_render.py: add TestEnsureOutputDir, TestXrefTag, TestRenderEmptyReport

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-09 16:41:58 -04:00
P 0979f506db test: add unit tests for untested modules
Add pytest infrastructure (pyproject.toml, conftest.py) and unit tests
for modules that previously had zero test coverage:

- test_schema_roundtrip.py: to_dict() serialization for all data classes
- test_reddit_enrich.py: URL parsing, thread data parsing, comment filtering
- test_reddit_sc.py: ScrapeCreators Reddit search (query expansion, subreddit discovery)
- test_instagram_sc.py: Instagram relevance scoring, tokenization, depth config

Includes fixtures/reddit_thread_sample.json for reddit_enrich tests.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-09 16:36:52 -04:00
Matt Van Horn 627947fc2c feat(plugin): publish as Claude Code marketplace plugin
Update .claude-plugin/marketplace.json and plugin.json to v2.9.5 with
full metadata. Add plugin install instructions to README as the
recommended install method. The repo root serves as both the marketplace
and the plugin - skills/last30days/SKILL.md (symlink) is discovered
automatically.

Users can now install with:
  /plugin marketplace add mvanhorn/last30days-skill
  /plugin install last30days@last30days-skill

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-08 13:09:33 -07:00
Matt Van Horn 2f16ff1ee8 feat(gemini): add Gemini CLI extension support
Add gemini-extension.json manifest with correct array-format settings,
symlink skills/last30days/SKILL.md to root SKILL.md for Gemini skill
discovery, add Gemini install paths to bash for-loop in both main and
open variant, and add Gemini CLI install instructions to README.

Incorporates the good parts of PR #53 (manifest, paths, README) while
avoiding duplicate SKILL.md, tool name scattering, and allowed-tools
pollution that would have created maintenance issues.

Closes #45

Co-Authored-By: Alex Ferrari <alex@thealexferrari.com>
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-08 12:07:55 -07:00
Matt Van Horn 8f7fb5a7fe fix(release): v2.9.5 - remove re-introduced Save Research section
PR merges on March 7 (PR #48 Xiaohongshu, upstream merge) regressed
SKILL.md by re-introducing the "Save Research to Documents" section
that v2.9.4 removed. Those branches were forked before v2.9.4 and
brought the old content back via merge resolution.

Fixes: remove save section, restore --save-dir flag on bash command,
update agent mode line, add tool-call guard to STOP instruction.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-08 11:55:35 -07:00
Matt Van Horn 4503da7920 docs: add perpetual monitoring mode plan (not building yet)
Explored adding scheduled re-runs and cumulative intelligence to
last30days. Concluded that Claude Code's session-scoped scheduling
(CronCreate/loop) can't support true perpetual monitoring since
jobs die when the terminal closes. Plan documents the architecture,
what exists, and why we're waiting for persistent background agents.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-08 09:37:18 -07:00
Matt Van Horn 28dff6e7b2 Merge remote-tracking branch 'upstream/main' 2026-03-07 16:36:15 -08:00
Matt Van Horn 32992834ee Merge PR #48: feat: add Xiaohongshu source + Reddit public fallback
- Xiaohongshu search via local MCP service (opt-in, zero impact if service not running)
- Reddit public JSON fallback (works with zero API keys)
- Reddit priority: ScrapeCreators -> OpenAI -> public fallback
- Updated env.py: Reddit always available via public fallback

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-07 16:11:35 -08:00
Matt Van Horn 7dd8379c61 Merge origin/main into feat/xiaohongshu-reddit-public-fallback
Resolve conflicts between ScrapeCreators Reddit (main) and
public Reddit fallback (PR #48). Priority: ScrapeCreators ->
OpenAI -> public Reddit fallback.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-07 16:08:20 -08:00
Matt Van Horn 408ac148ec Merge pull request #50 from mark-c4r/add-entity-extract-tests
test: add tests for entity_extract module
2026-03-07 15:59:32 -08:00
Matt Van Horn c9559252cd Merge pull request #52 from 04cb/fix/missing-metadata-files
Fix missing metadata files in skill upload bundle
2026-03-07 15:59:11 -08:00
04cb f70370a6f4 Fix missing metadata files in skill upload bundle 2026-03-07 18:10:44 +08:00
Matt Van Horn fad26d41fd fix: improve ClawHub security scan result
- Remove prompt-injection false positive ("you are now" → "treat yourself as")
- Declare AUTH_TOKEN and CT0 in frontmatter optionalEnv
- Clarify X token access language (no browser session access)
- Add permissions overview block near top of file

Zero functionality changes — metadata and prose only.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-03-06 18:35:38 -08:00
Matt Van Horn ef1f380cda feat: publish to ClawHub as last30days-official
- Add ClawHub badge and install command to README
- Update SKILL.md: metadata.openclaw canonical key, license/author/repository fields, optionalEnv vars, added instagram/polymarket tags
- Add .clawhubignore to exclude binary assets and dev files from bundle

Published: https://clawhub.ai/skills/last30days-official

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-03-06 18:08:14 -08:00
Matt Van Horn e690d61a12 fix: append -raw suffix to saved research filenames
e.g. sam-altman-raw.md instead of sam-altman.md

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-06 16:56:03 -08:00
Matt Van Horn 6d5acb9121 feat(release): v2.9.4 - move save into Python script, zero post-invitation noise
Add --save-dir flag to last30days.py that saves raw research output
during the existing script run. Remove entire "Save Research to
Documents" section from SKILL.md (~45 lines). No more extra tool
calls, no (No output), no multi-minute cogitation after invitation.

Tested: --mock confirms file creation and duplicate date suffixing.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-06 16:27:53 -08:00
Matt Van Horn 28d223e43c fix(release): v2.9.3 - foreground save, fix hallucinated user messages
CRITICAL: run_in_background callbacks caused model to re-engage after
save, hallucinate fake "Human:" messages, and generate unsolicited
multi-paragraph responses. Switch to foreground cat > heredoc which
executes sub-second with no callback.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-06 15:50:17 -08:00
Matt Van Horn 471badd329 fix(release): v2.9.2 - silent save, no follow-up text after background save
- Background Bash heredoc instead of Write tool
- Suppress response text on save completion
- 📎 footer line replaces verbose confirmation

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-06 15:41:55 -08:00
Matt Van Horn 5b1636f94f fix: merge upstream save fix (background Bash instead of Write tool)
Resolves merge conflict, keeping upstream's approach:
- Background heredoc save instead of Write tool
- Adds 📎 footer line
- No more "Wrote N lines..." cluttering output

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-06 14:59:06 -08:00
Matt Van Horn 18f6273f7c fix: save research silently via background Bash, not Write tool
The Write tool displays "Wrote N lines..." after the invitation,
ruining the end-of-run experience. Now saves via background Bash
with a subtle 📎 footer line in the invitation text.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-06 10:34:22 -08:00
Matt Van Horn 9950d01ab4 fix: save research silently via background Bash, not Write tool
The Write tool displays "Wrote N lines..." after the invitation,
ruining the end-of-run experience. Now saves via background Bash
with a subtle 📎 footer line in the invitation text.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-06 10:34:11 -08:00
Matt Van Horn cc774d5e69 feat(release): v2.9.1 - auto-save research to ~/Documents/Last30Days/
Sync from public repo. Every run now saves the complete briefing as a
topic-named .md file to ~/Documents/Last30Days/. Credit @devin_explores.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-05 19:50:43 -08:00
Matt Van Horn 8cbbe87c3e docs: add v2.9.1 auto-save note to README
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-05 19:27:18 -08:00
Matt Van Horn 49d993b162 feat(release): v2.9.1 - auto-save research to ~/Documents/Last30Days/
Bump version to 2.9.1, update changelog and release notes.
Credit @devin_explores for inspiring the feature.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-05 19:15:42 -08:00
Matt Van Horn 6afc094bb1 Merge pull request #51 from mvanhorn/feat/auto-save-documents
feat(skill): auto-save research results to ~/Documents/Last30Days/
2026-03-05 19:12:56 -08:00
Matt Van Horn f6a1769e35 feat(skill): auto-save research results to ~/Documents/Last30Days/
Every run now automatically saves the complete briefing (synthesis,
stats, follow-up suggestions) as a topic-named .md file in the user's
Documents folder. Agent mode also saves. No Python script changes -
this is purely a SKILL.md instruction addition.

Inspired by @devin_explores manually saving results to build a
personal research library.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-05 19:06:27 -08:00
Matt Van Horn 4d35b53eab docs: v2.9.0 release — ScrapeCreators Reddit default, top comments, smart discovery
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-05 18:03:40 -08:00
Matt Van Horn 2247800003 chore: clean up Reddit log prefix, mark plan tasks complete 2026-03-05 18:01:24 -08:00
Matt Van Horn 7048fe7b83 feat(reddit): elevate top comments, improve subreddit discovery, default to ScrapeCreators
Three improvements from beta testing:

1. Top comments: 10% scoring weight for comment quality, 💬 top comment
   rendered prominently in compact/full output, increased insight limits
2. Subreddit discovery: relevance-weighted scoring with topic word matching,
   utility sub penalties (UTILITY_SUBS blocklist), engagement bonus
3. Default method: SKILL.md primaryEnv → SCRAPECREATORS_API_KEY, web-only
   banner recommends SC first, security section updated

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-05 17:29:18 -08:00
Matt Van Horn 30b973f62e docs: add Reddit ScrapeCreators v2 improvements plan
Three focused improvements based on 5 full-pipeline beta tests:
1. Elevate top Reddit comments in scoring and rendering
2. Improve subreddit discovery heuristic for ambiguous queries
3. Make ScrapeCreators the default recommended Reddit method

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-05 17:24:41 -08:00
Matt Van Horn 09b09946c0 feat: replace OpenAI Reddit search with ScrapeCreators API
- New scripts/lib/reddit.py: multi-query expansion, global search,
  subreddit discovery, targeted subreddit search, comment enrichment
- 68 results in 17s vs ~15 results in 60-90s (OpenAI)
- Cost: ~$0.02/search vs $0.03-0.10 (15-50x cheaper)
- Real engagement data (score, comments, dates) from API
- No more 429 rate limits on comment enrichment
- Falls back to OpenAI if SCRAPECREATORS_API_KEY missing
- Registered as last30daysbeta for parallel local testing

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-05 15:55:02 -08:00
mark-c4r d4328b5598 test: add tests for entity_extract module
Covers _extract_x_handles (8 cases), _extract_x_hashtags (5 cases),
_extract_subreddits (6 cases), and extract_entities integration (4 cases).
Follows existing test patterns from test_dedupe.py.
2026-03-05 16:12:33 -06:00
YJLi-new 788514ce8e feat: add Xiaohongshu source and Reddit public fallback
- add xiaohongshu/xhs source path via xiaohongshu-mcp HTTP API\n- add Reddit public JSON fallback when OpenAI auth is unavailable\n- update diagnostics/UI rendering for new source availability states\n- harden Xiaohongshu availability probe to reduce false negatives\n- include source status reporting for Xiaohongshu
2026-03-05 20:54:33 +08:00
Matt Van Horn db75f9e341 feat: v2.8 — Instagram Reels source + TikTok ScrapeCreators migration
Add Instagram Reels as the 8th research source via ScrapeCreators API.
One API key (SCRAPECREATORS_API_KEY) now covers both TikTok and Instagram.

- Add scripts/lib/instagram.py: keyword search, transcript extraction,
  relevance scoring, engagement metrics (views, likes, comments)
- Add InstagramItem to schema, normalization, scoring, dedup, rendering
- Add Instagram to orchestrator pipeline, watchlist, and UI spinners
- Update SKILL.md: stats template, citation priority, item format,
  URL-to-name extraction rules, anti-Sources instruction
- Update README and CHANGELOG for v2.8
- Fix: Instagram/TikTok not running in --search= web-only path
- Fix: web stats line showing full URLs instead of domain names
- Replace APIFY_API_TOKEN with SCRAPECREATORS_API_KEY throughout

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-04 07:00:51 -08:00
Matt Van Horn 740dcc5789 docs: update README and SKILL.md for ScrapeCreators TikTok API
Replace all Apify references with ScrapeCreators. Key points:
- No subscription required (was $5/mo with Apify)
- 100 free credits, pay-as-you-go after
- SCRAPECREATORS_API_KEY replaces APIFY_API_TOKEN
- Backwards compatible: APIFY_API_TOKEN still works as fallback

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-04 05:17:30 -08:00
Matt Van Horn e03046bd49 refactor(tiktok): replace Apify with ScrapeCreators API
Root cause of empty TikTok results: Apify required monthly subscription.
ScrapeCreators is PAYG with 100 free credits and no subscription.

Key fix: ScrapeCreators nests items under aweme_info wrapper
(search_item_list[].aweme_info.{fields}), which the previous
implementation missed, causing all fields to be empty.

Changes:
- Rewrite tiktok.py to use ScrapeCreators REST API
- Add aweme_info unwrapping for correct field extraction
- Add transcript fetching via /video/transcript endpoint
- Add SCRAPECREATORS_API_KEY to env.py config
- Update last30days.py to use env.get_tiktok_token()
- Delete apify_client_wrapper.py (no longer needed)
- Update tests for new date field format (create_time)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-03 13:58:51 -08:00
Matt Van Horn 1d18bee1a2 fix(skill): forward CLI flags through $ARGUMENTS to Python script
Remove double quotes around $ARGUMENTS in SKILL.md so bash word-splits
the expansion, and change argparse topic from nargs="?" to nargs="*"
so multi-word topics still work. Also document --store, --include-web,
--diagnose, and --timeout flags in the Options section.

Closes #36

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-03 13:52:08 -08:00
Matt Van Horn fb00856bff docs: update README for v2.7 with TikTok examples and installation
Add TikTok as 7th source throughout README: new V2.7 banner, real
search examples (Iran Israel: 61.6M views, Leah Halton: 152.6M views),
APIFY_API_TOKEN in installation, Apify in security table, fix stale
"six sources" references to "seven sources".

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-03 06:52:51 -08:00
Matt Van Horn d7b354b2cf fix(ui): suppress [TikTok] and [Apify] log lines in non-TTY mode
Only print debug log lines when running in an interactive terminal.
In Claude Code (non-TTY), the spinner system handles progress display,
so these raw log lines just add noise.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-03 06:45:00 -08:00
Matt Van Horn 7c5763d048 fix(apify): suppress verbose actor log streaming to stderr
Pass logger=None to Apify .call() to prevent the SDK from streaming
raw actor run logs (status messages, crawler stats, warnings) that
drown out the clean spinner UI in Claude Code.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-03 06:43:38 -08:00
Matt Van Horn 61729b9ae7 fix(ui): show YouTube and TikTok progress spinners in Claude Code
Remove quiet=True from YouTube and TikTok spinners so they display
the same colored emoji progress lines as Reddit and X in non-TTY mode.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-03 06:36:50 -08:00
Matt Van Horn b990aed40e feat: add --no-native-web flag to skip Parallel AI in Claude Code
When running in Claude Code, the assistant has a built-in WebSearch tool
that's free and higher quality than Parallel AI/Brave/OpenRouter. Adding
--no-native-web to the SKILL.md invocation defers web search to the
assistant, saving API credits. OpenClaw invocations don't pass this flag,
so they continue using native web backends.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-03 06:34:03 -08:00
Matt Van Horn d4ac57f041 fix(tiktok): restore missing websearch import in orchestrator
The websearch module import was dropped when the tiktok import was added,
causing the script to crash during the rendering phase after all data
was successfully collected.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-03 06:25:30 -08:00
Matt Van Horn 1db0b6054a feat(tiktok): add TikTok as 7th signal source via Apify
Add TikTok search, scoring, and rendering using the Apify platform
(clockworks/tiktok-scraper actor). Users bring their own APIFY_API_TOKEN
($5/month free credits, no CC required). The shared apify_client_wrapper
module is designed for reuse by future Facebook/Instagram sources.

- New modules: tiktok.py (search + caption extraction), apify_client_wrapper.py
- Schema: TikTokItem dataclass, shares field on Engagement, Report.tiktok
- Pipeline: normalize → filter → score → sort → dedupe → cross-link → render
- Scoring: 0.50*log1p(views) + 0.30*log1p(likes) + 0.20*log1p(comments)
- SKILL.md bumped to v2.7 with TikTok stats, citations, and security docs
- 26 unit tests covering relevance, normalize, score, dedupe, render, round-trip

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-03 06:08:19 -08:00
Matt Van Horn 5e5d586f7d fix: triage all 16 open GitHub issues — close 9, fix 6, comment 1
Batch 1 (closed): #43 spam, #34 dup, #19 resolved, #2 resolved, #41 answered
Batch 2: Added MIT LICENSE file (#35), closed #42 (license question)
Batch 3 code fixes:
  - #29: YouTube skip reason shows "0 results" instead of "not installed"
  - #30: Bird source mapping handles reddit-web + Bird combo
  - #39: watchlist.py extracts YouTube + TikTok findings, run-one prints output
  - #40: watchlist.py uses search_queries field when available
Batch 4:
  - #32: marketplace.json source "." → "./" with $schema ref
  - #36: commented with investigation plan ($ARGUMENTS forwarding)
  - #4: Added SSL troubleshooting section to README
Also commented on #22 (Bird features) and #31 (skills.sh audit).

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-03 06:06:55 -08:00
Matt Van Horn 94b6b6eb7b feat(search): add --search flag for source filtering
Inspired by PR #26 (wkbaran), whose early work on HN/YouTube sources helped
shape what we built in v2.5. Cherry-picks the source-filtering concept as a
clean implementation against our existing architecture.

--search=SOURCES accepts comma-separated: reddit, x, hn, youtube, polymarket, web
Example: --search reddit,hn  (run only Reddit + Hacker News)

Also:
- bird_x: add noise words (trending, viral, plugin, skills) + last-chance retry
- render: show xAI tip for reddit-only mode regardless of missing_keys value
- tests: new test_bird_x.py (5 tests)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-03 00:43:33 -08:00
Matt Van Horn 6ae4b16791 feat(bird_x): add noise words + last-chance retry with strongest token
Cherry-picked from PR #24 (el-analista). Adds trending/viral/plugin/skill/tool
noise words to _extract_core_subject, and a last-chance retry that falls back
to the longest non-noise token when 2-word retry also returns 0 results.

cache.py and render.py env overrides were already on main.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-03 00:39:52 -08:00
Matt Van Horn 82efa6100b fix(skill): use plain source names in Web stats line, not URLs
URLs in markdown links wrap badly in terminals (discovered after first
fix attempt). Change to plain names like "Newsweek, Sportskeeda, Medium"
on the Web: stats line. Update citation note to explain the reason.

Tested on Dor Brothers, Kanye West, Logan Paul - no trailing Sources:
block appeared in any of the three test runs.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-02 23:54:06 -08:00
Matt Van Horn a52ed30109 fix(skill): suppress trailing Sources: block from WebSearch tool mandate
The WebSearch tool has a system-level mandate to append a Sources:
section at the end of every response. SKILL.md's old "DO NOT output
Sources: list" instruction was too weak to override it.

Fix: redirect citations into the stats block's Web: line as inline
links. The WebSearch citation requirement is satisfied there; an
explicit note after the stats block tells the model not to append
a separate trailing section.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-02 23:44:55 -08:00
Matt Van Horn 78678e3919 chore: add .gitignore and PR #37 finalization plan
- .gitignore: protect docs/comparison-results/ and other private
  benchmark artifacts from accidental upstream push
- docs/plans: add plan for PR #37 Codex auth finalization

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-02 23:44:55 -08:00
Matt Van Horn 04bfb5381d fix(tests): patch env isolation in test_api_key_takes_priority
The test was picking up the real OPENAI_API_KEY from the shell
environment, causing it to fail on any machine with that key set.
Added @patch.dict(os.environ, {}, clear=True) so the test runs in
a clean env and exercises the file_env path as intended.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-02 23:36:37 -08:00
Ilia Alshanetsky d7bff81757 fix(bird_x): pass .env credentials to Node subprocesses for WSL2/headless auth
* chore: fix YAML error in argument-hint

* add codex auth support to responses API

* Use gpt-5.1-codex-mini as default model for Codex auth

Add CODEX_FALLBACK_MODELS chain (gpt-5.1-codex-mini → gpt-5.2) for
Codex endpoint which doesn't support standard OpenAI models like
gpt-4o-mini. Adds model fallback retry on 400 errors in the Codex
search path. Also adds test_codex_auth.py with 22 unit tests covering
JWT decoding, auth resolution, SSE parsing, and payload building.

* Pass .env credentials to Bird Node subprocesses for X auth

On platforms without browser cookie access (e.g. WSL2), Bird's
vendored Node.js module cannot read AUTH_TOKEN/CT0 from Firefox
or Chrome cookie stores. The .env config file already supports
these values, but they were only loaded into the Python config
dict — never exported to the environment of Node subprocesses.

- Add AUTH_TOKEN/CT0 to env.py config key loading
- Add set_credentials()/\_subprocess_env() to bird_x.py to inject
  credentials into the env dict passed to subprocess.run/Popen
- Call set_credentials() in main() before Bird auth detection

---------

Co-authored-by: Justin Williams <jblwilliams@gmail.com>
2026-03-02 23:24:59 -08:00
Matt Van Horn 1ed990a081 feat(skill): v2.6 - agent-native invocation and --agent report mode
Removes disable-model-invocation restriction so the skill can be called
by other agents via the Skill tool. Adds --agent flag for non-interactive
report output (skips intro, AskUserQuestion, wait pause, and invitation).
Fixes false security doc claiming autonomous invocation was blocked.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-03-02 23:07:47 -08:00
Matt Van Horn 27b4865d60 feat(skill): bump version to 2.5
Polymarket prediction markets (6th source), Hacker News (5th source),
cross-source linking, synonym expansion, X handle resolution.
15-way blinded comparison: 4.38 vs 3.73, won all 5 topics.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-27 19:04:41 -08:00
Matt Van Horn 9ee1291033 docs: update README for v2.5 - Polymarket + HN as killer features, add Anthropic odds example
Reorder v2.5 features: Polymarket prediction markets and HN lead as #1,
multi-signal quality-ranked relevance scoring as #2. Add Anthropic Odds
example showcasing 11 live markets from a two-word query. Add Anthropic
and OpenAI Polymarket transcripts to launch tweets.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-26 10:42:00 -08:00
Matt Van Horn e48d84b1d0 fix(polymarket): two-pass query expansion finds markets where topic is an outcome
The Gamma API only searches event titles/slugs, missing markets where the
topic is an outcome (e.g., "Arizona" in NCAA Tournament Winner). This adds:

- All-word query expansion (not just first word): "Arizona Basketball" now
  searches "Arizona", "Basketball" independently
- Tag-based domain expansion: extracts category tags (e.g., "NCAA") from
  first-pass results and searches those as a second pass
- Neg-risk binary market synthesis: shows team names from market questions
  instead of generic Yes/No outcomes
- Question shortening: extracts "Arizona" from "Will Arizona win the NCAA
  Tournament?" for clean display
- Increased depth (3 pages) and result caps (15) for more coverage

Live results: "Arizona Basketball" now finds NCAA Tournament Winner (12%),
#1 Seed (88%), Big 12 Champion (69%). "Iran War" returns 15 markets (up
from 9) with no regression.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-26 09:06:35 -08:00
Matt Van Horn 309c8e37c6 fix(sync): deploy to last30daysCROSS with patched frontmatter
- Add CROSS to sync targets with sed-patched name/version/description
- Switch cp to rsync to handle identical file edge case on APFS
- CROSS SKILL.md gets last30daysCROSS skill root injected into search path

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-26 08:27:30 -08:00
Matt Van Horn 2ff9b6f6c1 feat(polymarket): outcome-aware scoring and synthesis instructions
- _compute_text_similarity() now checks outcome names with bidirectional
  substring matching (0.85) and token overlap (0.7), not just event titles
- Collect outcomes from ALL active markets per event, filter to >1% price
- Reorder outcome_prices to surface topic-matching outcome before top-3 truncation
- Add SKILL.md "Prediction Markets" synthesis section with structural/long-term
  market preference, domain examples, citation format, and narrative weaving
- Add Polymarket to citation priority list between HN and Web
- Update stats box template to show up to 5 market odds
- Fix render.py "vol24h" label to "volume"
- Add NCAA seed fixture event for outcome-only matching tests
- 82 polymarket tests pass (14 new)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-26 08:12:45 -08:00
Matt Van Horn 4c82309c36 fix(skill): strengthen zero-result hiding and improve Polymarket stats format
Make the "omit 0-result sources" instruction more emphatic (CRITICAL prefix,
enumerate all formats to suppress). Change Polymarket stats line to show
top 2-3 market odds instead of just top-1.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-25 23:09:18 -08:00
Matt Van Horn 9d9e7e89d9 feat(polymarket): replace position-based ranking with quality-signal relevance
Polymarket results now rank by text similarity, volume, liquidity, price
movement, and competitive score instead of API return position. Also fixes
pagination (DEPTH_CONFIG now controls page count, not a no-op limit param)
and caps results after re-ranking.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-25 23:07:43 -08:00
Matt Van Horn 994a4ab2ca feat(polymarket): add Polymarket prediction markets as 6th research source
Search Polymarket's free Gamma API for relevant prediction markets on any
topic. Uses smart multi-query expansion to cast a wider net (e.g., "Arizona
Basketball" also searches "Arizona"), merges and dedupes by event ID, and
shows price movement context ("up 22.5% this week"). No API key required.

Also hides sources with zero results from the stats output (all sources).

54 new tests, all passing. Full pipeline integration with scoring, dedupe,
cross-source linking, and rendering.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-25 22:27:19 -08:00
Matt Van Horn 52503f8e68 docs(readme): credit community contributors for HN source
Shoutout to @ARJ999 (first HN submission, PR #12), @wkbaran
(PR #26, referenced in planning), and @gbessoni for endorsing
HN as the right addition.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-25 21:10:58 -08:00
Matt Van Horn 44a662ef94 docs(readme): reorder v2.5 features - lead with better results
Reorganize the changelog to match the real story: smarter scoring,
cross-source linking, and handle resolution as one "dramatically
better results" narrative first, then HN, then handle resolution
details. Moves blinded comparison right after the results section
as proof.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-25 21:06:49 -08:00
Matt Van Horn 7009039ac4 docs: v3 -> v2.5 version bump (incremental, not major)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-25 21:00:57 -08:00
Matt Van Horn 41c8742fcf docs: update README to v3 with new features
- Bump version to v3
- Add headline features: HN source, handle resolution, cross-source
  linking, YouTube relevance scoring
- Add full v3 changelog section with detailed feature descriptions
- Reorganize v2/v2.1 changelog sections
- Add HN to security/privacy data table
- Update examples and descriptions throughout

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-25 20:59:59 -08:00
Matt Van Horn 71903b596f fix(skill): broaden handle resolution to products/tools/brands, add parody check
Handle resolution was only triggering for "person/brand" topics. Products
and tools like "Nano Banana Pro" or "Seedance" can also have X accounts
(@nanobanana, @seedanceai) but were being skipped.

Changes:
- Broadened trigger: people, brands, products, tools, companies, communities
- Added parody/fan account verification guidance
- Added site:x.com to WebSearch query for better results
- Updated both SKILL.md and OpenClaw variant

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-25 20:46:16 -08:00
Matt Van Horn bbaaf28d2e fix(x): don't skip unfiltered resolved handle search when entity-extracted
The resolved handle dedup was wrong: if entity_extract found @thedorbrothers
(from @mentions in Phase 1 results), the resolved handle search was skipped
entirely. But entity-extracted handles are searched WITH topic keywords
(from:handle topic), while resolved handles need UNFILTERED search
(from:handle) to find posts that don't mention the topic string.

Example: Dor Brothers' viral tweet (5.5K likes) says "We made a $300M movie
starring @LoganPaul" - no mention of "dor brothers" anywhere. The topic-
filtered entity search missed it. The unfiltered resolved search finds it.

Before: 30 X posts, 161+ likes (entity search only)
After: 40 X posts, 5549+ likes (resolved handle adds viral tweet)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-25 20:35:08 -08:00
Matt Van Horn 4f584a4e96 feat(x): resolve X handles for person/brand topics via agent WebSearch
When a topic is a person/brand (e.g. "Dor Brothers", "Jason Calacanis"),
the agent now resolves their X handle via WebSearch before running the
script, then passes --x-handle to search their posts unfiltered (no
topic keywords required). This finds posts the entity made without
mentioning their own name.

- SKILL.md + OpenClaw variant: Step 0.5 handle resolution instructions
- last30days.py: --x-handle CLI arg, passed through to _run_supplemental()
- bird_x.search_handles(): topic is now Optional[str] for unfiltered mode
- schema.py: resolved_x_handle field on Report
- render.py: show resolved handle in stats output

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-25 20:00:49 -08:00
Matt Van Horn bed0557b65 feat(quality): GOAT synthesis improvements - hybrid cross-source linking, YouTube synonyms, human-readable xref tags
Ran 15-way blinded comparison (5 topics x 3 versions). CROSS won all 5 topics
(4.74/5.0 avg vs HN 4.10, Base 3.73). Then improved CROSS further:

- dedupe.py: hybrid similarity (token+trigram Jaccard) at 0.40 threshold,
  cross-source links went from 3 to 13 items across 5 topics
- render.py: [xref: HN5, HN4] -> [also on: HN, Reddit] for human-readable tags
- youtube_yt.py: SYNONYMS dict so "hip hop" matches "rap" (0.33 -> 0.71 score)
- SKILL.md: instruction #7 tells Claude to lead with cross-platform signals

Validation: improved CROSS scores 4.38/5.0 vs original 3.98 (+0.40), wins 4/5
topics. Biggest gains in specificity (+0.8) and format compliance (+1.0).

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-25 16:06:53 -08:00
Matt Van Horn 0591f55f0e feat(quality): YouTube relevance scoring and cross-source linking
YouTube videos now get real relevance scores based on token overlap
between the search query and video title (was hardcoded at 0.7).
Uses ratio overlap with stopword removal, floored at 0.1.

Cross-source linking annotates items that discuss the same story
across different platforms (e.g., Reddit + HN + X). Items get
bidirectional cross_refs displayed as [xref: R3, HN5] in compact
output so Claude can triangulate multi-platform coverage.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-25 10:46:58 -08:00
Matt Van Horn f60a4359a0 fix(ui): quiet HN and YouTube spinners in non-TTY mode
Reddit and X are the star of the show. In Claude Code (non-TTY),
suppress  start messages for HN and YouTube so Reddit/X are the
first visible lines. HN/YouTube still show ✓ completion messages.
Also suppress [HN] debug logs in non-TTY to reduce output clutter.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-24 19:58:01 -08:00
Matt Van Horn 7a9f447231 fix(ordering): move HN after YouTube in stats, sort priority, and SKILL.md
HN was appearing before YouTube in the stats block, sort tiebreaker,
and source status. Now consistently: Reddit > X > YouTube > HN > Web.
Also restored emoji + box-drawing chars in test skill SKILL.md.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-24 19:41:14 -08:00
Matt Van Horn 38a7ea253e feat(hackernews): add Hacker News as 5th research source
Add HN search via free Algolia API (no key needed). Two-phase approach:
search for stories, then enrich top ones with comments. Integrated into
the full pipeline (normalize, score, dedupe, render) running in parallel
with Reddit/X/YouTube. Source priority: Reddit > X > HN > YouTube > Web.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-24 18:33:31 -08:00
Matt Van Horn 427a4e453d Merge pull request #33 from tjarko/fix/429-exponential-backoff
Fix OpenAI 429 rate limiting with exponential backoff
2026-02-20 23:03:01 -08:00
Tjarko Leifer 451ebb3e22 Fix OpenAI 429 rate limiting with exponential backoff
The Reddit search uses OpenAI's Responses API with web_search, which
frequently returns 429 rate limit errors. The previous retry logic used
linear backoff (1s, 2s, 3s) which is too aggressive for OpenAI's rate
limiter (often needs 10-60s waits).

Changes:
- Increase max retries from 3 to 5
- Switch from linear to exponential backoff (2s, 5s, 9s, 17s, 33s)
- Parse and respect Retry-After header from OpenAI 429 responses
- Fall back to cheaper models (gpt-4.1 → gpt-4o) on 429s, not just
  on 400/403 access errors
- Remove gpt-4o-mini from fallback chain — it doesn't support
  web_search with the filters parameter

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-20 12:40:36 +01:00
Matt Van Horn a4d09e470e docs: add CHANGELOG.md, release notes, and v2.1 polish
Add CHANGELOG.md (Keep a Changelog format) and release-notes.md
for the v2.1.0 GitHub Release. Also includes queued copy updates:
plugin.json version bump to 2.1.0, YouTube added to descriptions,
SKILL.md security/permissions section and ClawdBot metadata,
updated watchlist examples, and v2.1 launch post refinements.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-17 12:16:01 -08:00
Matt Van Horn 4547a095bf fix: correct OpenClaw GitHub URL
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-15 07:34:57 -08:00
Matt Van Horn 6ca037f387 docs: clarify watchlist is designed for Open Claw / always-on bots
Watchlist schedules are metadata only — nothing triggers runs
automatically. Updated README to be honest that cron/launchd or an
always-on bot like Open Claw is required for automated scheduling.
Local Claude Code users can still use run-one and run-all manually.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-15 07:33:43 -08:00
Matt Van Horn 7d6bac7b0e fix: handle engagement: null in watchlist and YouTube normalizer
When X posts return engagement: null, dict.get("engagement", {})
returns None (key exists with null value), causing AttributeError.
Use `or {}` idiom to coalesce None to empty dict.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-15 07:29:27 -08:00
Matt Van Horn 87bb469ab7 docs: remove em dashes, update terminology, replace Ralph Wiggum
- Replace all em dashes with hyphens
- "Claude Code skill" -> "skill" in intro
- Ralph Wiggum -> Seedance 2.0 / Nano Banana Pro
- tweet/Tweet -> post/Post throughout
- "signal of a tweet" -> "signal of a single post"

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-15 01:12:22 -08:00
Matt Van Horn 3bf20ef072 docs: reframe v2.1 — watchlist #1, YouTube #2, Codex #3
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-15 01:08:35 -08:00
Matt Van Horn 2d6855483d fix: Reddit future timeout — same bug as YouTube
OpenAI Responses API web_search takes 60-90s but the generic
future timeout was killing it at 30s (quick) / 60s (default).
Added reddit_future key to TIMEOUT_PROFILES (60/90/120s).

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-15 00:57:32 -08:00
Matt Van Horn 20a859ecec fix: YouTube timeout bump to 90s + Reddit 429 fail-fast
YouTube: Add youtube_future timeout key (60/90/120s for quick/default/deep)
separate from the shared future timeout. YouTube needs more time because
it does search + parallel transcript fetching. Previously, 20 videos +
5 transcripts exceeded the 60s budget and all results were discarded.

Reddit 429: Propagate rate-limit errors instead of swallowing them.
Enrichment now uses 10s timeout / 1 retry (was 30s / 3 retries).
On first 429, cancel remaining enrichment and skip Phase 2 Reddit.
Total time wasted on 429 drops from ~75s to ~12s.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-15 00:48:26 -08:00
Matt Van Horn c3640931ed fix: skip hard date filter for YouTube — keep evergreen content
The hard date filter in the main script was double-filtering YouTube
results. youtube_yt.py already applies a soft date filter that prefers
recent videos but keeps older ones when < 3 are within range (for
evergreen topics like "youtube thumbnails"). The hard filter then
removed all of them, resulting in 0 YouTube items.

YouTube content has a longer shelf life than tweets/posts, so the
soft filter's fallback behavior is correct.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-15 00:32:36 -08:00
Matt Van Horn 1acb5c6fff fix: remove eager import from __init__.py and add sync.sh
The `from . import bird_x` in __init__.py caused ImportError for all
other module imports (youtube_yt, render, etc.) when bird_x had issues,
crashing the entire script in Codex. Making it a bare package marker
lets Python resolve `from lib import X` normally.

Added scripts/sync.sh to deploy to all three skill locations
(~/.claude, ~/.agents, ~/.codex) with import verification.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-15 00:31:50 -08:00
Matt Van Horn 14b6ac06e1 feat(nux): conversational NUX with "last30" trigger and dynamic source status
Replace CLI-style promo banners with casual, conversational NUX message
that teaches users to say "last30" + natural language. Remove stale Bird
CLI npm install references and dead prompt_bird_install methods.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-15 00:19:38 -08:00
Matt Van Horn 06f74a4d0c fix: add timeouts, process cleanup, and source diagnostics
Script was hanging indefinitely when API sources were slow or
unresponsive. Now enforces bounded execution:

- Global timeout watchdog (180s default, 90s --quick, 300s --deep)
- Per-source future.result() timeouts (60s/30s/90s by depth)
- Parallel Reddit enrichment capped at 15 items / 45s total
- Subprocess process-group isolation (os.setsid + killpg)
- atexit cleanup kills all tracked child processes
- --timeout=N flag for user override

Also fixes the UX gap where missing sources were silently skipped:

- Pre-flight diagnostic banner shows source status before research
- Source status footer in compact output shows used/skipped/why
- Actionable fix commands for each missing source

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-15 00:05:36 -08:00
Matt Van Horn 7162eb6b36 fix: YouTube display and search quality
- Remove 2>&1 from SKILL.md so stderr doesn't pollute model input
- Run script in foreground (not background) with 5min timeout
- Add explicit YouTube synthesis instruction for Claude
- Remove --flat-playlist which broke date filtering (all dates were None)
- Move date filtering to Python with soft fallback for evergreen topics
- Keep 'tips', 'tutorial', 'review', 'guide' in YouTube search queries
- Increase yt-dlp timeout from 60s to 120s for full metadata fetch

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-15 00:02:16 -08:00
Matt Van Horn e520db31d3 docs: mark all plan acceptance criteria as complete
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-14 23:48:15 -08:00
Matt Van Horn 23b7906d63 docs: add open variant section and new CLI flags to README
- Document open variant installation (watchlist, briefings, history)
- Add --store, --diagnose, --include-web to options table
- Note optional web search API keys (Parallel AI, Brave, OpenRouter)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-14 23:47:54 -08:00
Matt Van Horn 9ff00ce38b feat(open): create open variant SKILL.md and reference files
Router SKILL.md dispatches to mode-specific references:
- research.md: one-shot research with --store for persistence
- watchlist.md: add/remove/list/run topics
- briefing.md: daily/weekly briefing generation
- history.md: query/search accumulated findings
- context.md: agent memory template

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-14 23:46:35 -08:00
Matt Van Horn 08e2010554 feat(engine): add native web search, --store, and --diagnose to main engine
- _search_web() dispatches to Parallel AI / Brave / OpenRouter based on config
- Web results flow through full pipeline: normalize → score → dedupe
- --diagnose shows all source availability (API keys, Bird, YouTube, web backends)
- --store persists findings to SQLite via store.py for watchlist/briefing system
- run_research() now returns web_items alongside reddit/x/youtube
- web_needed flag only set when no native web backend is available

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-14 23:43:34 -08:00
Matt Van Horn ba330e9a0c feat(open): Port web search backends, persistence layer, and env merge from openclaw 2026-02-14 23:35:44 -08:00
Matt Van Horn a09413608d feat: Add Codex CLI compatibility
- Add agents/openai.yaml for Codex skill discovery
- Make SKILL.md script path portable (repo, Claude, Codex, agents dirs)
- Platform-neutral output text ("assistant" instead of "Claude")
- Sandbox-friendly cache/output dirs with env var overrides and tempdir fallback
- Add Codex installation docs to README

Inspired by PR #24 (el-analista) and PR #5 (jblwilliams).
Zero impact on existing Claude Code behavior.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-14 23:18:53 -08:00
Matt Van Horn 9397fcc937 docs: Polish README for v2.1 launch + add launch copy with social posts
- Split V2.1 blurb into two clear bullets (YouTube + X search)
- Better X auth section with browser-specific notes and verify command
- Updated intro/tagline to mention YouTube as 4th source
- Added social post drafts and updated issue #19 response with YouTube

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-14 22:50:47 -08:00
Matt Van Horn c66ca7f43d feat: Add YouTube as 4th research source via yt-dlp
YouTube search and transcript extraction runs automatically when yt-dlp
is installed. Searches for topic videos from the last N days, fetches
auto-generated transcripts for top results, and feeds them through the
same scoring pipeline (relevance + recency + engagement) as Reddit/X.

New files:
- youtube_yt.py: search, transcript extraction, VTT cleanup

Modified files:
- schema.py: YouTubeItem dataclass, updated Report
- normalize.py: normalize_youtube_items()
- score.py: YouTube engagement scoring (views-dominated)
- dedupe.py: YouTube deduplication
- render.py: YouTube section in compact output
- env.py: is_ytdlp_available() check
- ui.py: YouTube progress messages
- last30days.py: _search_youtube(), parallel execution with Reddit/X
- SKILL.md: YouTube in stats box, citation priority
- README.md: YouTube docs, yt-dlp requirement, Peter shoutout

Inspired by Peter Steinberger's yt-dlp + summarize toolchain approach.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-14 21:38:04 -08:00
Matt Van Horn 31313c69ac v2.1: Bundle Bird X search - no external CLI needed
Vendor Bird's Twitter GraphQL search client directly into /last30days,
eliminating the dependency on `npm install -g @steipete/bird`. X search
now works out of the box with just Node.js 22+ and browser cookies.

- Add vendored bird-search.mjs wrapper (search-only subset of Bird v0.8.0)
- Vendor @steipete/sweet-cookie for browser cookie extraction
- Update bird_x.py to call vendored Node.js module instead of `bird` binary
- Update README.md and SKILL.md for v2.1 (remove Bird CLI install steps)
- Include Bird's MIT LICENSE in vendor directory

The fallback chain is: vendored search -> xAI API key -> web-only mode.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-07 17:16:04 -08:00
Matt Van Horn 0ec338c630 Add speed tradeoff note to README intro
Honest about 2-8 min research time vs V1's speed. Points users
to @mvanhorn / @slashlast30days for quick mode feedback.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-07 11:01:54 -08:00
Matt Van Horn 205f8fa7ae Add timing disclaimer to parsed intent output
"Research typically takes 2-8 minutes (niche topics take longer)."
Shown right after parsed intent, before research starts.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-07 11:00:06 -08:00
Matt Van Horn fdfe3c7e9e Add Vibe Motion as third README example showing brand-new tool research
Demonstrates /last30days researching a tool that launched 2 days ago —
before blog roundups existed. Real-time X/Reddit reactions from
@Hartdrawss, @rezkhere, @Totinhiiio plus honest Chase Jarvis review.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-07 10:57:35 -08:00
Matt Van Horn ff5cc1445c Add Kanye West as second README example showing current events mode
Real V2 output: 33 X posts (9.3K likes), @dekreationz viral post,
WSJ apology arc, BULLY album, Bianca Vanity Fair — demonstrates
/last30days as a news/culture research tool, not just prompting.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-07 10:56:25 -08:00
Matt Van Horn 04b532582c Add Nano Banana Pro as first README example, remove old duplicate
New example uses fresh V2 research output showing JSON prompting
dominance, @handle citations, and the full research-to-prompt flow.
Removed the old iOS App Mockup example which used the same SwimMom
prompt/image but with stale V1 data.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-07 10:54:01 -08:00
Matt Van Horn 45702efd63 Update argument-hint with real example queries
Replace generic "[topic]" and --days=7 with concrete examples that
show the range: prompting, news, recommendations.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-07 10:49:52 -08:00
Matt Van Horn 232a948576 Reframe README V2 around better search results as primary feature
Lead with dramatically better X/Reddit search quality (smarter query
construction + Phase 2 supplemental), Bird CLI as secondary headline,
community contributions in their own section.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-07 10:46:08 -08:00
Matt Van Horn 41779b81c0 Fix X search returning 0 results on popular topics
Three bugs in _extract_core_subject():

1. Multi-word noise phrases ("what are", "how to") never matched
   because code compared individual words against multi-word strings.
   "what are people saying about DeepSeek R1" became "what are people
   saying" — losing the entire topic.

2. Missing meta words — "prompt", "techniques", "tips" weren't
   filtered (only "prompting" was). "vibe motion best prompt
   techniques" kept 4 keywords instead of 2.

3. No retry on 0 results — Reddit retries with simplified queries
   but X accepted 0 and moved on.

Fix: Two-phase extraction (strip multi-word prefixes/suffixes first,
then individual noise words), expanded noise set, max 3 words (was 4),
and automatic retry with first 2 words when Bird returns 0 results.

Before → After:
- "vibe motion best prompt techniques" → "vibe motion" (was 4 words, 0 results)
- "what are people saying about DeepSeek R1" → "deepseek r1" (was "what are people saying")
- "nano banana pro prompts for gemini" → "nano banana pro" (was 4 words)

Tested: vibe motion (12 X posts, was 0), DeepSeek R1 (12 posts),
kanye west (12 posts, no regression).

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-07 10:43:45 -08:00
Matt Van Horn 83f8d7ece5 Add V2 highlights to README intro, credit @galligan for plugin inspiration
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-07 10:28:54 -08:00
Matt Van Horn 52456e5820 Update README for V2 and bump USER_AGENT to 2.0
- Add V2 to title
- Document Bird CLI installation (free X search)
- Add --days=N to options table
- Update Requirements to show Bird CLI as recommended free option
- Replace How It Works with two-phase search architecture
- Add What's New in V2 section with all new features
- Credit community contributors (@JosephOIbrahim, @levineam, @jonthebeef)
- Bump http.py USER_AGENT from 1.0 to 2.0

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-07 10:26:53 -08:00
Matt Van Horn 6c620cbbf4 Smart invitations with research-specific example suggestions
Every invitation now includes 2-3 specific examples based on what the
research actually found. PROMPTING mode explicitly offers to write prompts
with creative examples. NEWS suggests follow-up questions about the
biggest stories. GENERAL suggests specific deep-dives and applications.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-07 10:11:30 -08:00
Matt Van Horn 88bca6e55c Fix invitation wording: add 'I'm now an expert' to all modes, remove prompt language from GENERAL
GENERAL mode said "write a prompt for it" which sounds weird for people/topics
("write a prompt for Kanye West"). Changed to "describe what you're working on
and I'll help." Added "I'm now an expert on {TOPIC}" prefix to all 4 modes.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-07 10:04:10 -08:00
Matt Van Horn 1ae7a16c75 feat: Smart supplemental search — Phase 2 entity-aware drill-down
After the initial broad search (Phase 1), extract key entities from results
and run targeted secondary searches to surface content the broad pass missed:

- New entity_extract.py: parses @handles, #hashtags, subreddits from results
- bird_x.py: search_handles() does targeted from:handle searches via Bird CLI
- openai_reddit.py: search_subreddits() uses Reddit's free .json search endpoint
- last30days.py: Phase 2 orchestration runs after enrichment, merges + dedupes

Tested with "kanye west" (+9 Reddit, +1 X) and "claude code skills" (+6 Reddit, +1 X).
Phase 2 is skipped on --quick mode. Default caps at 3 handles/subs, deep at 5.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-07 10:00:28 -08:00
Matt Van Horn 650aa1100b Context-aware invitation, smart follow-ups, no raw URLs
- Invitation adapts to QUERY_TYPE: NEWS gets "ask me anything",
  PROMPTING gets "share your vision", RECOMMENDATIONS gets "compare options"
- Follow-up handler reads intent: questions get answers, not forced prompts
- Restored V1's "if they ask a question, answer it" context memory line
- URL formatting rule: "per Rolling Stone" not raw URLs

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-07 09:34:30 -08:00
Matt Van Horn 6da4b2f5c7 Remove citation priority plan file
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-07 09:22:42 -08:00
Matt Van Horn 9da95019e6 Elevate Reddit/X citations over web sources in output
- Add citation priority rule: @handles > r/subreddits > web sources
- Fix examples: "per @honest30bgfan_" instead of "per Rolling Stone"
- Add "lead with people, not publications" instruction
- Stats box: web now shows "(supplementary)" instead of domain list
- No changes to actual research — same quality, better attribution framing

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-07 09:22:07 -08:00
Matt Van Horn a953d57730 Add PR credits tracking for V2 launch
Track community PRs to thank contributors when V2 goes public.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-07 09:16:23 -08:00
Matt Van Horn 6d80af3807 Add Claude Code marketplace plugin support
- Add .claude-plugin/marketplace.json and plugin.json manifests
- Use ${CLAUDE_PLUGIN_ROOT:-$HOME/.claude/skills/last30days} for script path
- Plugin install: uses CLAUDE_PLUGIN_ROOT when set
- Manual install: falls back to ~/.claude/skills/last30days (no breakage)
- SKILL.md stays at root, plugin.json points skills to "./"

Users can now install via:
  claude plugin marketplace add mvanhorn/last30days-skill
  claude plugin install last30days@last30days

Inspired by PR #1 (galligan) — lighter approach without repo restructure.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-07 09:11:28 -08:00
Matt Van Horn 60f06ea86e Merge community PRs: Windows Unicode fix, 403 fallback, --days flag
- PR #17 (JosephOIbrahim): Fix UnicodeEncodeError on Windows cp1252
- PR #16 (levineam): Handle HTTP 403 model access errors, add gpt-4.1 fallback
- PR #18 (jonthebeef): Add --days=N flag for configurable lookback (1-30)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-07 09:05:46 -08:00
Matt Van Horn c8ddb60397 Revert query parsing display to V1 format
User preferred V1's "I'll research X across Reddit, X, and the web..."
with explicit Parsed intent block over V2's emoji format.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-07 08:18:37 -08:00
Matt Van Horn 10f61c503d Restore 7 missing v1 features + add query parsing display + v1-vs-v2 test plan
Feature audit found 11 things v2 dropped from v1. Restored the 7 that affect
output quality: quality checklist for prompts, anti-pattern examples, self-check
instruction, "don't re-search" context memory, prompt format anti-pattern,
multi-prompt guidance, and emoji footer with engagement counts.

Also adds visible query parsing display (🔍 **{TOPIC}** · {QUERY_TYPE}) and
the full v1-vs-v2 comparison test plan with all 17 test queries from README.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-06 15:27:46 -08:00
Matt Van Horn 4b0098b754 Remove context: fork — root cause of broken skill execution
The old v1 skill worked because context: fork was SILENTLY IGNORED
due to Claude Code bug #17283. The skill ran inline in the main
conversation. Claude Code 2.1+ fixed the bug and now properly
honors fork mode, creating an isolated subagent that ignores all
instruction ordering (text output, bash-first, etc.).

Fix: remove context: fork so the skill runs inline again, matching
the behavior the user knows works. Also restored v1-style
instruction flow: parse intent first, then run script, then WebSearch.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-06 10:28:58 -08:00
Matt Van Horn df29bbb53d Revert to bash-first execution with echo progress display
The agent in fork mode ignores text output instructions and jumps
straight to WebSearch. Reverted to the original "YOUR FIRST ACTION:
Run this command. EXECUTE." pattern that actually worked. Embedded
progress display as echo statements inside the bash command so they
can't be skipped. The agent was not running the Python script at all
when the first instruction was about text output.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-06 10:18:53 -08:00
Matt Van Horn a6dd0a8b0e Move progress block to very first instruction in SKILL.md
The agent was skipping the progress text because it was buried after
parsing logic at line 41. Restructured so the FIRST section is
"YOUR FIRST OUTPUT" with the progress block, BEFORE any tool call
instructions. Added explicit "DO NOT skip this" enforcement.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-06 10:16:49 -08:00
Matt Van Horn c3120d29a3 Show visible progress block before research starts
The ui.py spinner/color output goes to stderr which Claude Code
buffers invisibly. Instead, have the agent output a visible progress
block with emoji showing Reddit/X/Web agents deploying.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-06 10:13:59 -08:00
Matt Van Horn 11f9ab8519 Restore acknowledgment step before research execution
Add back the brief topic acknowledgment ("Researching X — searching
Reddit for upvotes...") and descriptive intro that the v1 skill had.
The v2 version was jumping straight into script execution with no
user-facing feedback about what was being researched.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-06 10:10:49 -08:00
Matt Van Horn 7c36866524 Fix v2 output quality: stats format, Reddit results, citations, summary structure
- Stats: replace BAD/GOOD examples with strict fill-in-the-blank template
- Reddit: add subreddit-targeted fallback search, soften scoring penalties
  (engagement -10→-3, date confidence -10→-5), add minimum result guarantee
- Citations: limit to 1 per insight, short format, no engagement metrics
- Summary: add bold topic headers template for structured paragraphs

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-06 10:04:46 -08:00
Matt Van Horn 38451d44c9 Restore original description, enforce emoji stats format, require source attribution
- Reverted description to original public repo copy
- Restored H1 heading, moved imperative instruction to bold paragraph
- Added BAD/GOOD examples enforcing emoji tree stats format
- Required @handle and r/subreddit citation in ALL summary types
- Removed agent:Explore and disable-model-invocation from frontmatter

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-06 09:48:21 -08:00
Matt Van Horn 63de326df0 Fix skill not executing: remove agent:Explore, front-load run command
The Explore agent was treating SKILL.md as documentation to summarize
instead of instructions to follow. Removed agent:Explore from frontmatter
and restructured opening to immediately command script execution.

Also adds release plan for Bird CLI v2.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-06 09:38:32 -08:00
Matt Van Horn 4230fa2b69 Fix YAML parsing error in argument-hint field
Wrap value in single quotes to properly escape nested double quotes.
This fixes skills CLI installation.

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-02-05 07:37:17 -08:00
Matt Van Horn 4e972d009c Rename skill from last30daystest to last30days
- Update skill name and description (remove TEST markers)
- Update script path to ~/.claude/skills/last30days/
- Clean up header, keep Bird CLI features prominent

Ready for local testing as the main skill.

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-02-03 16:11:21 -08:00
Matt Van Horn 17485ec797 Make RECOMMENDATIONS format flexible (table or stacked)
- Remove over-prescriptive format requirements
- Let Claude choose table vs stacked naturally based on content
- Keep critical requirement: Sources line with @handles
- Claude Code's renderer handles the responsive wrapping

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-02-03 15:55:41 -08:00
Matt Van Horn 56f9eceb9c Switch RECOMMENDATIONS to stacked card format (responsive)
- Replace ASCII table with stacked card format
- Each card: Tool/Mentions/Use Case/Sources on separate lines
- Cards separated by horizontal rule (────)
- Doesn't break when terminal window is narrow
- Still includes @handles in Sources line

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-02-03 15:12:56 -08:00
Matt Van Horn c534c3b9a5 Update RECOMMENDATIONS format to use ASCII tables with @handles
- Changed from numbered list to ASCII box-drawing table format
- Added "Key Sources" column that MUST include @handles from X posts
- Added explicit instructions to parse and display highest-engagement handles
- Matches the output quality of the original xAI version

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-02-03 15:04:41 -08:00
Matt Van Horn 3afc1213b8 Add explicit instructions to calculate engagement totals
Claude was summarizing qualitatively ('mostly casual conversation')
instead of summing actual engagement numbers from the output.

Added CRITICAL note to:
- Parse [Xlikes, Yrt] from each X post
- Sum totals for the stats display
- Show top voices with engagement (e.g., @handle (15K likes))

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-02-03 14:47:41 -08:00
Matt Van Horn e7610ddcac Fix Bird search: strip noise words + fix date parsing
1. Add _extract_core_subject() to strip noise words before X search
   - X search is literal keyword matching, not semantic
   - "best open claw usecases" → "open claw" (27 results vs 0)

2. Fix ISO date detection bug
   - Was: if "T" in created_at (matched "Tue" in "Tue Feb 03...")
   - Now: if created_at[10] == "T" (proper ISO separator check)
   - Dates now parse correctly: (2026-02-03) instead of (date unknown)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-02-03 14:38:38 -08:00
Matt Van Horn f800b5eb1b Fix Bird CLI response parsing
1. last30days.py: Check isinstance(dict) before .get() - Bird returns
   list on success, dict on error

2. bird_x.py: Update field mappings for Bird's actual response format:
   - author.username not user.screen_name
   - createdAt not created_at (camelCase)
   - likeCount, retweetCount, etc. (camelCase)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-02-03 14:00:40 -08:00
Matt Van Horn 2c398ef6cb Enable API keys: remove clean mode
Now reads from ~/.config/last30days/.env like the regular skill.
Bird CLI + API keys both work together.

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-02-03 13:47:10 -08:00
Matt Van Horn bcf5c2cc3f Fix: embed date filter in query instead of --since flag
Bird CLI doesn't support --since as a CLI flag.
Use X's search syntax: 'topic since:YYYY-MM-DD'

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-02-03 13:26:51 -08:00
Matt Van Horn 89bdbae0fe Fix: restore pretty emojis and box chars in stats summary
Original format:
 All agents reported back!
├─ 🟠 Reddit: {n} threads │ {sum} upvotes │ {sum} comments
├─ 🔵 X: {n} posts │ {sum} likes │ {sum} reposts
├─ 🌐 Web: {n} pages │ {domains}
└─ Top voices: r/{sub1}, r/{sub2} │ @{handle1}, @{handle2}

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-02-03 13:09:14 -08:00
Matt Van Horn 06061884f1 Update SKILL.md: remove interactive prompt references
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-02-03 12:39:16 -08:00
Matt Van Horn 976a6e2867 Match original NUX: non-blocking Bird promotion
- Remove interactive "Install Bird CLI?" prompt
- Add Bird as FREE option in promo messages
- Auto-detect Bird silently (use if authenticated)
- Keep original flow: show promo → continue with available sources

Bird now appears in the promo alongside API keys:
  🔵 X (Twitter)
     └─ FREE: npm install -g @steipete/bird (uses browser session)
     └─ Or: Add XAI_API_KEY (paid API)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-02-03 12:38:54 -08:00
Matt Van Horn 73b42c5c89 fix: show Bird install prompt before topic validation
Move Bird CLI check to run before topic validation so users see
the install prompt even when running without a topic argument.

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-02-03 11:53:04 -08:00
Matt Van Horn fe9ebb9944 feat: add clean mode for testing Bird CLI flow
- Add LAST30DAYS_CONFIG_DIR env var to override config location
- Set LAST30DAYS_CONFIG_DIR="" in test skill for clean mode
- Test skill now ignores existing API keys to show Bird install prompt

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-02-03 11:48:40 -08:00
Matt Van Horn d122210e1e rename: use last30daystest as main skill name for testing 2026-02-03 11:32:47 -08:00
Matt Van Horn 80b9fa74dd feat: add test skill (last30daystest) for Bird CLI testing
Creates SKILL-TEST.md with name "last30daystest" so the Bird CLI
integration can be tested without affecting the original /last30days
skill installed from the public repo.

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-02-03 11:06:43 -08:00
Matt Van Horn ecdee52d04 feat(main): integrate Bird setup into main flow
- Move progress display initialization early to support Bird prompts
- Check Bird availability and offer install if no X source available
- Override available sources when Bird is ready
- Pass x_source parameter to run_research function

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-02-03 11:04:56 -08:00
Matt Van Horn e57b82f1ad feat(main): dispatch X search to Bird or xAI 2026-02-03 11:03:29 -08:00
Matt Van Horn 7a7e35bcf5 feat(main): add Bird setup function
Add bird_x import and setup_bird_if_needed function to main script.
The function checks Bird status and offers installation if needed,
returning 'bird' if ready, 'declined' if user declined, or None if
unavailable.

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-02-03 11:02:28 -08:00
Matt Van Horn 25d58a4494 feat(lib): export bird_x module
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-02-03 11:01:46 -08:00
Matt Van Horn df849e7278 feat(env): add X source detection with Bird priority 2026-02-03 11:01:23 -08:00
Matt Van Horn 57e238cb9c feat(ui): add Bird CLI install prompts and auth help 2026-02-03 11:00:42 -08:00
Matt Van Horn 34723c70ac feat(bird): add response parser matching xai_x format 2026-02-03 10:59:39 -08:00
Matt Van Horn 2910e83552 feat(bird): add search_x function 2026-02-03 10:58:44 -08:00
Matt Van Horn 444bd6e185 feat(bird): add installation and status functions 2026-02-03 10:57:57 -08:00
Matt Van Horn a7fb951257 feat(bird): add detection functions for Bird CLI
- is_bird_installed() checks if bird command is in PATH
- is_bird_authenticated() runs bird whoami to verify auth
- check_npm_available() checks if npm can install bird

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-02-03 10:57:26 -08:00
Matt Van Horn 8ae00ea214 docs: Add Bird CLI implementation plan
12-task implementation plan for integrating Bird CLI as free X/Twitter
search alternative. Includes detection, interactive install, search
dispatch, and main flow integration.

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-02-03 10:53:03 -08:00
Matt Van Horn 950810be92 docs: Add Bird CLI integration design
Adds design doc for integrating Bird CLI as an alternative X/Twitter
search source. Bird uses browser cookies (free, no API key) and
provides direct GraphQL access to X.

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-02-03 10:50:59 -08:00
Matt Van Horn cc892d736b revert: restore original argument-hint format (testing) 2026-01-28 13:43:10 -08:00
Matt Van Horn 6cc7dad86e fix: YAML frontmatter and GPT-5 model fallback
- Fix invalid YAML in SKILL.md argument-hint (closes #8)
  Wrapped value in single quotes to properly escape double quotes

- Add automatic model fallback for GPT-5 access errors (closes #9)
  When OpenAI returns 400 for unverified orgs, retry with gpt-4o

- Add tests for model fallback logic

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-28 11:07:33 -08:00
Matt Van Horn 3a4a727f4b Run Reddit and X searches in parallel, fix timeout handling
- Refactor run_research() to use ThreadPoolExecutor for parallel execution
- Reddit timeout/crash no longer blocks X search from running
- Add catch for ConnectionResetError/OSError in http.py
- Per-item error handling in Reddit enrichment (one failure doesn't crash all)
- Increase API timeouts from 60/90/120 to 90/120/180 seconds
- Add ClawdBot setup example to README

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-25 13:33:41 -08:00
Matt Van Horn 86422a74af feat: Add honesty warning when results aren't from last 30 days
Adds ⚠️ LIMITED RECENT DATA warning when:
- Fewer than 5 items are confirmed from the date range
- Tells Claude to be transparent with user about data freshness

Example output for obscure topic (June Oven):
"Only 4 item(s) confirmed from 2025-12-26 to 2026-01-25.
Results below may include older/evergreen content."

Popular topics (clawdbot, nano banana) don't show the warning.

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-25 13:00:53 -08:00
Matt Van Horn e1d3570667 feat: Add automatic retry with simpler query for sparse Reddit results
If initial search returns <5 threads, extract core subject and retry:
- "best nano banana prompting practices" → retry with "nano banana"
- Combines results from both searches, deduped by URL

Note: OpenAI's web_search still tends to find old content. This retry
helps cast a wider net but doesn't fully solve the recency issue.

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-25 10:44:29 -08:00
Matt Van Horn 2d43571875 fix: Simplify Reddit prompt and increase search volume
OpenAI's web_search doesn't reliably find recent Reddit content.
Strategy change: request MORE threads and let server-side date
filtering handle it.

Changes:
- Increased depth config (20-30 → 30-50 default)
- Simplified prompt to search broadly and include all matches
- Let server-side date filter remove old content
- Removed aggressive pre-filtering that was limiting results

Tradeoff: Some topics have more X coverage than Reddit due to
web_search limitations. This is acceptable.

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-25 10:35:14 -08:00
Matt Van Horn acd7a533c0 fix: Emphasize recency in Reddit search to find recent threads
The model was finding old threads (Nov-Dec 2025) that got filtered out,
leaving 0 results even for popular topics like "nano banana prompts".

Changes:
- Add explicit date filters: "after:{from_date}" and "2026"/"January 2026"
- Emphasize RECENT content is critical, old threads are filtered anyway
- Tell model to verify dates before including threads

Before: 0-2 Reddit threads for "nano banana prompting practices"
After: 16 Reddit threads from January 2026

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-25 10:15:43 -08:00
Matt Van Horn b77d821f8d docs: Add Top Claude Code Skills example to README
Shows /last30days as a discovery tool for finding popular resources
in rapidly evolving ecosystems - ranked by community engagement.

Includes Remotion (17.3K likes), SkillsMP marketplace, Superpowers,
and Trail of Bits security skills.

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-25 09:50:40 -08:00
Matt Van Horn 66d7b87049 docs: Add ClawdBot use cases example to README
Shows /last30days as a product research tool - discovering real-world
use cases with engagement metrics from r/LocalLLaMA, r/selfhosted, and
X posts from @steipete, @danpeguine, @dreetje.

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-25 09:48:35 -08:00
Matt Van Horn 7dc3e7b716 fix: Improve Reddit search prompt to find actual discussions
- Add EXTRACT CORE KEYWORDS step to search for main subject, not full phrase
  ("killer features of clawdbot" → search "clawdbot")
- Remove hardcoded subreddit list that biased results toward design/dev subs
- Simplify search strategies and URL validation rules
- Make prompt more concise - GPT-5.2 responds better to clearer instructions

Before: 0 threads found for "killer features of clawdbot"
After: 7 threads found including r/LocalLLaMA (43pts), r/selfhosted (26pts)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-25 09:42:31 -08:00
Matt Van Horn 6fbfbb9ccc feat: Add web-only fallback mode with API key promo
- Skill now works without any API keys using WebSearch fallback
- Shows promo banner marketing Reddit/X data when keys are missing
- Partial mode (one key) shows shorter tip for the missing source
- Updated SKILL.md to document three modes: Full, Partial, Web-Only
- Added get_missing_keys() to env.py for promo logic
- Added show_promo(), start_web_only(), show_web_only_complete() to ui.py
- Updated render_compact() to include inline promo for web-only mode

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-25 09:32:24 -08:00
Matt Van Horn 6831e624b8 docs: Add photorealistic aging portrait example
Shows multi-panel consistency for photorealistic people:
- JSON structure with face preservation
- Same person at ages 10, 20, 40, 80
- Heterochromia + freckles maintained across panels
- Real generated result

Also added to SKILL.md intro examples.

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-24 16:28:15 -08:00
Matt Van Horn 7f1ab7a2e9 fix: Remove duplicate stats display from Judge section
Stats were showing twice - once in Judge section, once at end.
Now Judge section just synthesizes internally, stats only appear
at the end right before invitation.

Order: What I learned -> Stats -> Share your vision

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-24 16:22:55 -08:00
Matt Van Horn 2192743c74 docs: Add iOS app mockup example (SwimMom for Nano Banana Pro)
Shows JSON-structured prompting for UI mockups:
- Layer-based structure (frame -> layout -> content)
- iOS 18 design system references
- 8pt grid and element limits
- Real generated mockup result

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-24 16:14:56 -08:00
Matt Van Horn 60c663697e fix: Reorder output - stats right before invitation
New order:
1. What I learned / KEY PATTERNS (or Most mentioned)
2. Stats (All agents reported back!)
3. Share your vision (last)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-24 16:09:52 -08:00
Matt Van Horn bcb1c7d71b feat: Reorder use cases - Prompting first, rename HOW-TO to PROMPTING
Prompting is the primary use case, so it should be first:
1. Prompting - "Midjourney prompts", "ChatGPT image generation"
2. Recommendations - "best Claude Code skills", "top AI tools"
3. News - "what's happening with OpenAI"
4. General - any topic

Also renamed HOW-TO query type to PROMPTING for clarity.

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-24 16:07:35 -08:00
Matt Van Horn c8504d3b30 fix: Use user's exact terminology, don't add outdated tech names
Claude was "helpfully" adding DALL-E, GPT-4o to searches when user
asked about "ChatGPT image prompting". This uses outdated knowledge.

Now explicitly instructs: use the user's exact terminology, don't
substitute or add tech names. Trust the user knows what they're
asking about.

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-24 15:05:45 -08:00
Matt Van Horn 6577da0b14 feat: More emojis and bring back Judge Agent in display
Updated research banner:
- Added Judge Agent: "Standing by to synthesize..."
- Better emoji descriptions: "Scanning for gold", "Catching latest takes"

Updated completion display:
- "All agents reported back!"
- "Judge Agent: Weighing the evidence..."
- Emojis on the Judge's evaluation criteria

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-24 15:03:41 -08:00
Matt Van Horn 6a7c29010d fix: Answer follow-up questions from research, don't re-search
After research is complete, Claude is an expert. Follow-up questions
should be answered from the research findings, not trigger new
WebSearches. Only do new research for a different topic.

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-24 15:01:35 -08:00
Matt Van Horn b6cdbc9058 fix: Display research banner before background script starts
Since script runs in background, users don't see its live output.
Now Claude displays the fancy emoji banner immediately before
starting the background script.

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-24 15:00:30 -08:00
Matt Van Horn 5f8623f129 feat: Smart query detection for better research results
Added QUERY_TYPE detection:
- RECOMMENDATIONS ("best X") → searches for lists, extracts specific names
- NEWS → searches for current events
- HOW-TO → searches for tutorials
- GENERAL → broad topic research

For RECOMMENDATIONS queries, synthesis now extracts specific entity names
with mention counts instead of generic patterns.

Example: "best Claude Code skills" now returns:
  "Most mentioned: /commit (5x), remotion (4x), git-worktree (3x)"
Instead of:
  "Skills are good. Keep them under 500 lines."

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-24 13:23:31 -08:00
Matt Van Horn 68420ca1e2 fix: Run Reddit/X script in background for parallel execution
Start the script first with run_in_background:true, then do WebSearch.
Both run in parallel so users see the script's progress display while
WebSearch also fetches results.

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-24 12:48:07 -08:00
Matt Van Horn 0e4df9f38a fix: Clean up final display - no Sources, end with invitation
- Suppress "Sources:" output from WebSearch (redundant noise)
- Reorder: Research Complete stats → What I learned → Share your vision
- Simplified KEY PATTERNS to 3 items
- Clean ending users see while waiting for their input

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-24 12:38:51 -08:00
Matt Van Horn 85e7b6445c fix: Run WebSearch before script for better working state
Users now see the script's progress display as the "working state"
while waiting, rather than the WebSearch tool call.

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-24 12:32:49 -08:00
Matt Van Horn e926a5aabd fix: Remove redundant Web Agent from banner display
WebSearch shows as visible tool calls, so announcing it in the
banner was redundant. Now only Reddit and X agents are shown
in the initial display.

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-24 12:29:36 -08:00
Matt Van Horn 18696e7b05 fix: Enforce strict 30-day date filtering
Previously Reddit was returning ~60% old content (some from 2022).
This commit adds multiple layers of date enforcement:

- Reddit prompt: Explicit from_date/to_date with "fewer results > older results"
- Hard filter: filter_by_date_range() in normalize.py excludes old content
- WebSearch Date Detective: Extracts dates from URLs (/2026/01/24/) and
  snippets ("January 24, 2026", "3 days ago")
- WebSearch scoring: +10 bonus for verified dates, -20 penalty for unknown

The skill now guarantees only content from the last 30 days.

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-24 12:23:34 -08:00
Matt Van Horn 354e8bad03 docs: Update README with marketing copy
Add new tagline emphasizing AI moves fast and this skill keeps you current.
Replace em-dashes with regular dashes/colons throughout.

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-24 11:57:52 -08:00
Matt Van Horn 407801f8be feat: Add parallel research agents with Judge synthesis
- Deploy 3 agents in parallel: Reddit+X, WebSearch, Backup WebSearch
- Add visual progress indicators (🟠🔵🌐)
- Add Judge Agent to synthesize all sources
- Include web authors in top voices (e.g., "John on Medium")
- Weight Reddit/X higher than WebSearch (engagement signals)

Makes the research feel magical with parallel execution.

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-24 10:51:07 -08:00
595 changed files with 70566 additions and 490 deletions
+23
View File
@@ -0,0 +1,23 @@
{
"$schema": "https://anthropic.com/claude-code/marketplace.schema.json",
"name": "last30days-skill",
"description": "Research any topic from the last 30 days across Reddit, X, YouTube, TikTok, Instagram, Hacker News, Polymarket, and the web.",
"owner": {
"name": "Matt Van Horn",
"url": "https://github.com/mvanhorn"
},
"plugins": [
{
"name": "last30days",
"description": "Research any topic from the last 30 days. Become an expert and write copy-paste-ready prompts.",
"version": "2.9.5",
"author": {
"name": "Matt Van Horn",
"url": "https://github.com/mvanhorn"
},
"source": "./",
"category": "productivity",
"homepage": "https://github.com/mvanhorn/last30days-skill"
}
]
}
+26
View File
@@ -0,0 +1,26 @@
{
"name": "last30days",
"version": "2.9.5",
"description": "Research any topic from the last 30 days across Reddit, X, YouTube, TikTok, Instagram, Hacker News, Polymarket, and the web.",
"author": {
"name": "Matt Van Horn",
"email": "mvanhorn@gmail.com",
"url": "https://github.com/mvanhorn"
},
"homepage": "https://github.com/mvanhorn/last30days-skill",
"repository": "https://github.com/mvanhorn/last30days-skill",
"license": "MIT",
"keywords": [
"research",
"reddit",
"twitter",
"youtube",
"tiktok",
"instagram",
"trends",
"prompts",
"polymarket"
],
"skills": ["./"],
"hooks": {}
}
+18
View File
@@ -0,0 +1,18 @@
# Exclude binary assets and dev/test artifacts from ClawHub bundle
assets/
docs/
fixtures/
tests/
plans/
agents/
variants/
release-notes.md
SPEC.md
TASKS.md
SKILL-original.md
*.jsonl
*.mp3
*.jpeg
*.jpg
*.png
*.gif
+17
View File
@@ -0,0 +1,17 @@
# Private benchmark / evaluation artifacts — never push to upstream
docs/comparison-results/
scripts/evaluate-synthesis.py
scripts/generate-synthesis-inputs.py
fixtures/polymarket_sample.json
docs/v2.1-tweets.md
docs/30-day-anniversary-thread.md
docs/30-day-anniversary-tweets.md
variants/open/references/research.md
# OS / tool files
.DS_Store
.claude/
.entire/
__pycache__/
*.pyc
mise.toml
+162
View File
@@ -0,0 +1,162 @@
# Changelog
All notable changes to this project will be documented in this file.
The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.1.0/),
and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
## [2.9.4] - 2026-03-06
### Changed
- Move save into Python script via `--save-dir` flag - raw research data saved during the existing script Bash call, zero extra tool calls after invitation
- Remove entire "Save Research to Documents" section from SKILL.md (~45 lines removed)
- No more `📎` footer, no Bash heredoc, no `(No output)`, no multi-minute cogitation after research
## [2.9.3] - 2026-03-06
### Fixed
- **Critical:** Switch save from `run_in_background` to foreground Bash - background callbacks caused model to re-engage, hallucinate fake user messages, and generate unsolicited multi-paragraph responses
- Save uses foreground `cat >` heredoc (executes sub-second, no callback, no delayed notification)
## [2.9.2] - 2026-03-06
### Fixed
- Save research silently using background Bash heredoc instead of Write tool (eliminates "Wrote N lines..." clutter)
- Suppress follow-up text after background save completes (no more "Research briefing saved..." noise)
- Add `📎` footer line for save path instead of verbose confirmation
## [2.9.1] - 2026-03-05
### Highlights
Auto-save research briefings to `~/Documents/Last30Days/` as topic-named .md files. Every run now builds a personal research library automatically - no more manual copy-paste.
### Added
- Auto-save complete research briefings (synthesis, stats, follow-up suggestions) to `~/Documents/Last30Days/{topic-slug}.md` after every run
- Kebab-case filename generation from topic (e.g., "Claude Code skills" -> `claude-code-skills.md`)
- Duplicate topic handling: appends date suffix instead of overwriting (e.g., `claude-code-skills-2026-03-05.md`)
- Agent mode (`--agent`) also saves research files
- Brief confirmation after save: "Saved to ~/Documents/Last30Days/{slug}.md"
### Credits
- [@devin_explores](https://x.com/devin_explores) -- Inspired this feature by sharing their workflow of saving every last30days run into organized .md files ([PR #51](https://github.com/mvanhorn/last30days-skill/pull/51))
## [2.9.0] - 2026-03-05
### Highlights
ScrapeCreators Reddit as the default backend (one `SCRAPECREATORS_API_KEY` covers Reddit + TikTok + Instagram), smart subreddit discovery with relevance-weighted scoring, and top comments elevated with 10% scoring weight and prominent display.
### Added
- ScrapeCreators Reddit backend (`scripts/lib/reddit.py`) — keyword search, subreddit discovery, comment enrichment, all via `api.scrapecreators.com`
- Smart subreddit discovery with relevance-weighted scoring: frequency × recency × topic-word match, replacing pure frequency count
- `UTILITY_SUBS` blocklist to filter noise subreddits (r/tipofmytongue, r/whatisthisthing, etc.) from discovery results
- Top comment scoring: 10% weight in engagement formula via `log1p(top_comment_score)`
- Top comment rendering: `💬 Top comment` lines with upvote counts in compact and full report output
- Comment excerpt length increased from 300 → 400 chars; `comment_insights` limit raised from 7 → 10
### Changed
- `primaryEnv` switched from `OPENAI_API_KEY` to `SCRAPECREATORS_API_KEY` — one key now powers Reddit, TikTok, and Instagram
- Reddit engagement scoring formula: `0.55/0.40/0.05` (score/comments/ratio) → `0.50/0.35/0.05/0.10` (score/comments/ratio/top-comment)
- SKILL.md synthesis instructions updated to emphasize quoting top comments
### Fixed
- Utility subreddit noise in discovery (e.g., r/tipofmytongue appearing for unrelated topics)
- Reddit search no longer requires `OPENAI_API_KEY` — ScrapeCreators API handles search directly
## [2.8.0] - 2026-03-04
### Highlights
Instagram Reels as the 8th signal source, TikTok migrated from Apify to ScrapeCreators API, and SKILL.md quality improvements. One API key (`SCRAPECREATORS_API_KEY`) now covers both TikTok and Instagram.
### Added
- Instagram Reels as 8th research source via ScrapeCreators API — keyword search, engagement metrics (views, likes, comments), spoken-word transcript extraction (`scripts/lib/instagram.py`)
- `InstagramItem` dataclass, normalization, scoring (45% relevance / 25% recency / 30% engagement), deduplication, cross-source linking, and rendering
- Instagram in SKILL.md: stats template (`📸 Instagram:`), citation priority, item format description, output footer
- URL-to-name extraction examples in SKILL.md for cleaner web source display
- `--search=instagram` flag support
### Changed
- TikTok backend migrated from Apify to ScrapeCreators API (`api.scrapecreators.com`)
- `APIFY_API_TOKEN` replaced by `SCRAPECREATORS_API_KEY` in config
- SKILL.md version bumped to v2.8
- WebSearch citation instruction strengthened to prevent trailing Sources: blocks
- Security section updated: Apify → ScrapeCreators references
### Fixed
- Web stats line showing full URLs instead of plain domain names
- Trailing "Sources:" block appearing after skill invitation (WebSearch tool mandate conflict)
- Instagram/TikTok not running in web-only mode when `--search=instagram` used without Reddit/X
- `$ARGUMENTS` quoting in SKILL.md for correct flag forwarding
## [2.1.0] - 2026-02-15
### Highlights
Three headline features: watchlists for always-on bots, YouTube transcripts as a 4th source, and Codex CLI compatibility. Plus bundled X search with no external CLI needed.
### Added
- Open-class skill with watchlists, briefings, and history modes (SQLite-backed, FTS5 full-text search, WAL mode) (`feat(open)`)
- YouTube as a 4th research source via yt-dlp -- search, view counts, and auto-generated transcript extraction (`feat: Add YouTube`)
- OpenAI Codex CLI compatibility -- install to `~/.agents/skills/last30days`, invoke with `$last30days` (`feat: Add Codex CLI`)
- Bundled X search -- vendored subset of Bird's Twitter GraphQL client (MIT, originally by @steipete), no external CLI needed (`v2.1: Bundle Bird X search`)
- Native web search backends: Parallel AI, Brave Search, OpenRouter/Perplexity Sonar Pro (`feat(engine)`)
- `--diagnose` flag for checking available sources and authentication status
- `--store` flag for SQLite accumulation (open variant)
- Conversational first-run experience (NUX) with dynamic source status (`feat(nux)`)
### Changed
- Smarter query construction -- strips noise words, auto-retries with shorter queries when X returns 0 results
- Two-phase search architecture -- Phase 1 discovers entities (@handles, r/subreddits), Phase 2 drills into them
- Reddit JSON enrichment -- real upvotes, comments, and upvote ratio from reddit.com/.json endpoint
- Engagement-weighted scoring: relevance 45%, recency 25%, engagement 30% (log1p dampening)
- Model auto-selection with 7-day cache and fallback chain (gpt-4.1 -> gpt-4o -> gpt-4o-mini)
- `--days=N` configurable lookback flag (thanks @jonthebeef, [#18](https://github.com/mvanhorn/last30days-skill/pull/18))
- Model fallback for unverified orgs (thanks @levineam, [#16](https://github.com/mvanhorn/last30days-skill/pull/16))
- Marketplace plugin support via `.claude-plugin/plugin.json` (inspired by @galligan, [#1](https://github.com/mvanhorn/last30days-skill/pull/1))
### Fixed
- YouTube timeout increased to 90s, Reddit 429 rate limit fail-fast
- YouTube soft date filter -- keeps evergreen content instead of filtering to 0 results
- Eager import crash in `__init__.py` that broke Codex environments
- Reddit future timeout (same pattern as YouTube timeout bug)
- Process cleanup on timeout/kill -- tracks child PIDs for clean shutdown
- Windows Unicode fix for cp1252 emoji crash (thanks @JosephOIbrahim, [#17](https://github.com/mvanhorn/last30days-skill/pull/17))
- X search returning 0 results on popular topics due to over-specific queries
### New Contributors
- @JosephOIbrahim -- Windows Unicode fix ([#17](https://github.com/mvanhorn/last30days-skill/pull/17))
- @levineam -- Model fallback for unverified orgs ([#16](https://github.com/mvanhorn/last30days-skill/pull/16))
- @jonthebeef -- `--days=N` configurable lookback ([#18](https://github.com/mvanhorn/last30days-skill/pull/18))
### Credits
- @steipete -- Bird CLI (vendored X search) and yt-dlp/summarize inspiration for YouTube transcripts
- @galligan -- Marketplace plugin inspiration
- @hutchins -- Pushed for YouTube feature
## [1.0.0] - 2026-01-15
Initial public release. Reddit + X search via OpenAI Responses API and xAI API.
[2.9.1]: https://github.com/mvanhorn/last30days-skill/compare/v2.9.0...v2.9.1
[2.9.0]: https://github.com/mvanhorn/last30days-skill/compare/v2.8.0...v2.9.0
[2.8.0]: https://github.com/mvanhorn/last30days-skill/compare/v2.6.0...v2.8.0
[2.1.0]: https://github.com/mvanhorn/last30days-skill/compare/v1.0.0...v2.1.0
[1.0.0]: https://github.com/mvanhorn/last30days-skill/releases/tag/v1.0.0
+21
View File
@@ -0,0 +1,21 @@
# last30days Skill
Claude Code skill for researching any topic across Reddit, X, YouTube, and web.
Python scripts with multi-source search aggregation.
## Structure
- `scripts/last30days.py` — main research engine
- `scripts/lib/` — search, enrichment, rendering modules
- `scripts/lib/vendor/bird-search/` — vendored X search client
- `SKILL.md` — skill definition (deployed to ~/.claude/skills/last30days/)
## Commands
```bash
python3 scripts/last30days.py "test query" --emit=compact # Run research
bash scripts/sync.sh # Deploy to ~/.claude, ~/.agents, ~/.codex
```
## Rules
- `lib/__init__.py` must be bare package marker (comment only, NO eager imports)
- After edits: run `bash scripts/sync.sh` to deploy
- Git remotes: origin=private, upstream=public
+21
View File
@@ -0,0 +1,21 @@
MIT License
Copyright (c) 2026 Matt Van Horn
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
+771 -26
View File
@@ -1,26 +1,164 @@
# /last30days
# /last30days v2.9.5
A Claude Code skill that researches any topic across Reddit and X from the last 30 days, synthesizes the insights, and delivers expert-level answers.
### Claude Code (recommended)
```
/plugin marketplace add mvanhorn/last30days-skill
/plugin install last30days@last30days-skill
```
**Best for prompt research** — discover what prompting techniques actually work for any tool (ChatGPT, Midjourney, Claude, Figma AI, etc.) by learning from real community discussions and best practices.
[![ClawHub](https://img.shields.io/badge/ClawHub-last30days--official-blue)](https://clawhub.ai/skills/last30days-official)
**But also great for anything trending** — music, culture, news, product recommendations, viral trends, or any question where "what are people saying right now?" matters.
```bash
clawhub install last30days-official
```
**The AI world reinvents itself every month. This skill keeps you current.** /last30days researches your topic across Reddit, X, Bluesky, YouTube, TikTok, Instagram, Hacker News, Polymarket, and the web from the last 30 days, finds what the community is actually upvoting, sharing, betting on, and saying on camera, and writes you a grounded narrative with real citations. Whether it's Seedance 2.0 access, paper.design prompts, or the latest Nano Banana Pro techniques, you'll know what people who are paying attention already know.
**New in v2.9.5 — Bluesky, Comparative Mode, and Config Improvements:**
- **Bluesky/AT Protocol** is now a social source. Opt-in via `BSKY_HANDLE` + `BSKY_APP_PASSWORD` (create at bsky.app/settings/app-passwords). Full pipeline: search, score, dedupe, render.
- **Comparative mode** - ask "X vs Y" (e.g., `/last30 cursor vs windsurf`) and get 3 parallel research passes with a side-by-side comparison: strengths, weaknesses, head-to-head table, and a data-driven verdict.
- **Per-project .env config** - drop a `.claude/last30days.env` in your project root for per-project API keys.
- **SessionStart config check** - validates your config automatically when a Claude Code session starts.
- **Expanded test coverage** - 455+ tests across all modules.
**New in v2.9.1 — Auto-save to ~/Documents/Last30Days/:** Every run now saves the complete briefing as a topic-named `.md` file to your Documents folder. Build a personal research library automatically. Inspired by [@devin_explores](https://x.com/devin_explores).
**New in v2.9 — ScrapeCreators Reddit + Top Comments + Smart Discovery:**
Reddit now runs on [ScrapeCreators](https://scrapecreators.com) by default — one `SCRAPECREATORS_API_KEY` covers Reddit, TikTok, and Instagram (3 sources, 1 key). Smart subreddit discovery finds the right communities automatically, and top comments are elevated with a 10% scoring weight and `💬` display with upvote counts. [Details below.](#whats-new-in-v29)
**New in v2.8 — Instagram Reels + ScrapeCreators:**
Instagram Reels is now the 8th signal source. TikTok and Instagram both run on ScrapeCreators — one API key covers both. [Details below.](#whats-new-in-v28)
**New in V2.5 - dramatically better results:**
1. **Polymarket prediction markets and Hacker News.** See what people are betting real money on and what the technical community is actually discussing. Search "Arizona Basketball" and get NCAA Tournament championship odds (Arizona: 12%), #1 seed probability (88%), and Big 12 title race (69%) - pulled from 50+ open markets across 10 events, not just Reddit opinions. Search "Iran War" and get 15 live prediction markets with strike probabilities, regime change bets, and war declaration odds. Two-pass query expansion with tag-based domain bridging discovers markets where your topic is an outcome buried inside a broader event, not just a title keyword match. HN stories, Show HN posts, and comment insights are scored by points + comments and participate in cross-source convergence detection.
2. **Multi-signal quality-ranked relevance scoring.** Every result across all six sources runs through a composite scoring pipeline: bidirectional text similarity with synonym expansion and token overlap, engagement velocity normalization, source authority weighting, cross-platform convergence detection via hybrid trigram-token Jaccard similarity, and temporal recency decay. Polymarket markets are ranked on a 5-factor weighted composite - text relevance (30%), 24-hour volume (30%), liquidity depth (15%), price movement velocity (15%), and outcome competitiveness (10%) - with outcome-aware scoring that matches your topic against individual market positions, not just event titles. A blinded evaluation scored v2.5 at 4.38/5.0 vs 3.73/5.0 for v1 across 5 test topics.
3. **X handle resolution.** Search "Dor Brothers" and the skill resolves their handle (@thedorbrothers), then searches their posts directly - finding their 5,600-like viral tweet that keyword search missed entirely. Works for people, brands, products, and tools.
**New in V2.1:** Open-class skill with watchlists, YouTube transcripts as a source, works in OpenAI Codex CLI. [Full changelog below.](#whats-new-in-v21)
**New in V2:** Smarter query construction, two-phase supplemental search, free X search via bundled Bird client, `--days=N` flag, automatic model fallback. [Full changelog below.](#whats-new-in-v2)
**The tradeoff:** /last30days finds a lot of content but takes 2-8 minutes depending on how niche your topic is. Up to 10 sources searched in parallel, results scored, deduplicated, and synthesized. We think the depth is worth the wait, but `--quick` mode is there if you need speed over thoroughness.
**Best for prompt research**: discover what prompting techniques actually work for any tool (ChatGPT, Midjourney, Claude, Paper, etc.) by learning from real community discussions and best practices.
**But also great for anything trending**: music, culture, news, product recommendations, viral trends, or any question where "what are people saying right now?" matters.
## Installation
### Claude Code Plugin (recommended)
```
/plugin marketplace add mvanhorn/last30days-skill
/plugin install last30days@last30days-skill
```
### Gemini CLI
```bash
gemini extensions install https://github.com/mvanhorn/last30days-skill.git
```
### Manual Install (Claude Code / Codex)
```bash
# Clone the repo
git clone https://github.com/mvanhorn/last30days-skill.git ~/.claude/skills/last30days
# Add your API keys
# Add your API keys (optional if signed in to Codex)
mkdir -p ~/.config/last30days
cat > ~/.config/last30days/.env << 'EOF'
OPENAI_API_KEY=sk-...
XAI_API_KEY=xai-...
SCRAPECREATORS_API_KEY=... # Reddit + TikTok + Instagram (one key, all three) - scrapecreators.com
OPENAI_API_KEY=sk-... # optional - legacy Reddit fallback if using `codex login`
AUTH_TOKEN=... # recommended for X search - copy once from x.com cookies
CT0=... # recommended for X search - copy once from x.com cookies
XAI_API_KEY=xai-... # optional - X fallback if you do not want cookie-based auth
BSKY_HANDLE=you.bsky.social # optional - Bluesky search (create app password below)
BSKY_APP_PASSWORD=xxxx-xxxx-xxxx # optional - bsky.app/settings/app-passwords
EOF
chmod 600 ~/.config/last30days/.env
```
If you're signed in to Codex (`codex login`), the skill will use your Codex credentials for the OpenAI Responses API and you can omit `OPENAI_API_KEY`. If you're not signed in, run `codex login` first.
For project-specific overrides, create `.claude/last30days.env` in the repo root. It overrides the global `~/.config/last30days/.env`.
### X Search Authentication
X search prefers explicit env auth. This keeps local runs headless and avoids browser-cookie and macOS Keychain prompts.
**Recommended setup:**
1. While logged into x.com once, open browser dev tools and copy the `auth_token` and `ct0` cookies for `x.com`.
2. Save them as `AUTH_TOKEN` and `CT0` in `~/.config/last30days/.env`, export them in your shell, or add them to `.claude/last30days.env` for a single project.
3. Re-run `/last30days`.
**xAI fallback:** If you do not want to provide `AUTH_TOKEN` and `CT0`, set `XAI_API_KEY` and the skill will use xAI's `x_search` backend instead.
**Verify it's working:**
```bash
node ~/.claude/skills/last30days/scripts/lib/vendor/bird-search/bird-search.mjs --whoami
```
**Requirements:** Node.js 22+ (for the vendored Twitter GraphQL client).
### Codex CLI
This skill also works in OpenAI Codex CLI. Install to the Codex skills directory instead:
```bash
git clone https://github.com/mvanhorn/last30days-skill.git ~/.agents/skills/last30days
```
Same SKILL.md, same Python engine, same scripts. The `agents/openai.yaml` provides Codex-specific discovery metadata. Invoke with `$last30days` or through the `/skills` menu.
### Open Variant (Watchlist + Briefings) - For Always-On Bots
**Designed for [Open Claw](https://github.com/openclaw/openclaw) and similar always-on AI environments.** Add your competitors, specific people, or any topic to a watchlist. When paired with a cron job or always-on bot, /last30days re-researches them on a schedule and accumulates findings in a local SQLite database. Ask for a briefing anytime.
**Important:** The watchlist stores schedules as metadata, but nothing triggers runs automatically. You need an external scheduler (cron, launchd, or an always-on bot like Open Claw) to call `watchlist.py run-all` on a timer. In plain Claude Code, you can run `watch run-one` and `watch run-all` manually, but there's no background scheduling.
```bash
# Enable the open variant
cp variants/open/SKILL.md ~/.claude/skills/last30days/SKILL.md
# Add topics to your watchlist
last30 watch my biggest competitor every week
last30 watch Peter Steinberger every 30 days
last30 watch AI video tools monthly
last30 Y Combinator hot companies end of April and end of September
# Run research manually (or let your bot's cron handle it)
last30 run all my watched topics
# Search accumulated knowledge
last30 what have you found about AI video?
```
The open variant adds four modes on top of one-shot research:
- **Watchlist** - Track topics with `watch add "topic"`, run manually or via cron
- **Briefings** - Daily/weekly digests synthesized from accumulated findings
- **History** - Query and search your research database with full-text search
- **Native web search** - Built-in web search backends (Parallel AI, Brave, OpenRouter) run alongside Reddit/X/YouTube
Both variants use the same Python engine and scripts directory. The open variant adds command routing (`watch`, `briefing`, `history`) and references mode-specific instruction files.
**Optional web search API keys** (add to `~/.config/last30days/.env`):
```bash
PARALLEL_API_KEY=... # Parallel AI (preferred - LLM-optimized results)
BRAVE_API_KEY=... # Brave Search (free tier: 2,000 queries/month)
OPENROUTER_API_KEY=... # OpenRouter/Perplexity Sonar Pro
```
**Optional Bluesky credentials** (add to `~/.config/last30days/.env`):
```bash
BSKY_HANDLE=you.bsky.social # Your Bluesky handle
BSKY_APP_PASSWORD=xxxx-xxxx-xxxx # Create at bsky.app/settings/app-passwords
```
Check source availability: `python3 scripts/last30days.py --diagnose`
## Usage
```
@@ -36,16 +174,170 @@ Examples:
## What It Does
1. **Researches** - Scans Reddit and X for discussions from the last 30 days
1. **Researches** - Scans Reddit, X, Bluesky, Truth Social, YouTube, TikTok, Instagram, Hacker News, Polymarket, and the web for discussions from the last 30 days
2. **Synthesizes** - Identifies patterns, best practices, and what actually works
3. **Delivers** - Either writes copy-paste-ready prompts for your target tool, or gives you a curated expert-level answer
### Use it for:
- **Prompt research** "What prompting techniques work for legal questions in ChatGPT?"
- **Tool best practices** "How are people using Remotion with Claude Code?"
- **Trend discovery** "What are the best rap songs right now?"
- **Product research** "What do people think of the new M4 MacBook?"
- **Viral content** "What's the dog-as-human trend on ChatGPT?"
- **Prompt research** - "What prompting techniques work for legal questions in ChatGPT?"
- **Tool best practices** - "How are people using Remotion with Claude Code?"
- **Trend discovery** - "What are the best rap songs right now?"
- **Product research** - "What do people think of the new M4 MacBook?"
- **Viral content** - "What's the dog-as-human trend on ChatGPT?"
---
## Example: Nano Banana Pro Prompting (Image Generation)
**Query:** `/last30days nano banana pro prompting`
**Research Output:**
> JSON prompting is the dominant technique - The X community overwhelmingly uses structured JSON prompts rather than plain text. Creators like @Xmira_belle, @Cicily_aura, @RubenSalvo_, and @mahivisuals all share prompts in JSON format with nested objects for metadata, subject descriptions, lighting, camera specs, and scene composition. @realdigitaldao made a static ad "in less than 5 min" using a simple JSON prompt.
>
> Prompt adherence is Nano Banana Pro's killer advantage - JSON prompts hit 92% precision for color accuracy, lighting ratios, and composition vs ~68% for natural language prompts, per fofr.ai. @artingent directly compared it to GPT Image 1.5 and noted Nano Banana Pro has higher prompt adherence - "GPT image 1.5 ignored the Top Down instruction."
>
> Stop writing "tag soup" - act like a Creative Director - The biggest shift is away from comma-separated keyword lists toward natural language descriptions with clear structure. The ICS Framework (Image type, Content, Style) and the 5-element formula (subject, composition, action, setting, style) are the two dominant approaches, per r/nanobanana2pro.
**Key patterns discovered:**
1. JSON > plain text - Structure prompts as JSON objects with keys for subject, composition, lighting, camera, style - per @Xmira_belle, @Cicily_aura
2. The 5-element formula - Subject + Composition + Action + Setting + Style - per r/nanobanana2pro
3. Separate subjects into distinct objects - Multi-character scenes need each person in their own JSON block to prevent "concept bleeding" - per fofr.ai
4. Use camera/lens metadata - Aperture, focal length, ISO, film stock as JSON keys for hidden photorealism control
5. 14 reference images max - Feed up to 14 reference images for brand/character consistency - per Google DeepMind
**Research Stats:** 8 Reddit threads (455 upvotes) + 31 X posts (183 likes, 68 reposts) from r/nanobanana2pro, r/promptingmagic, @Xmira_belle (106 likes), @Cicily_aura (45 likes)
**Then asked:** "make a mock-up of an app for moms who swim"
**Generated Prompt:**
```json
{
"image_type": "UI mockup",
"device": {
"frame": "iPhone 16 Pro",
"display": "realistic screen with subtle reflection",
"orientation": "portrait"
},
"app_concept": "SwimMom - fitness and community app for mothers who swim",
"screen": "home dashboard",
"design_system": {
"style": "iOS 18 native",
"corners": "rounded, 16px radius",
"shadows": "soft drop shadows, subtle depth",
"spacing": "8pt grid, generous whitespace"
},
"color_palette": {
"primary": "calming aqua blue (#4ECDC4)",
"secondary": "warm coral (#FF6B6B)",
"background": "clean white with soft blue gradient header"
},
"layout": {
"header": "greeting 'Good morning, Sarah' with wave icon, profile avatar top right",
"hero_card": "today's swim stats - laps, calories, time - with circular progress ring",
"section_2": "horizontal scroll of upcoming mom swim meetups with location pills",
"section_3": "two cards - 'My Goals' with streak counter, 'Find a Pool' with map pin",
"bottom_nav": "5 icons - Home (active), Workouts, Community, Schedule, Profile"
},
"visual_details": {
"illustrations": "friendly, minimal line art of swimming figure",
"typography": "SF Pro Display, clean hierarchy",
"mood": "energizing yet calm, supportive community feel"
}
}
```
**The Result:**
<p align="center">
<img src="assets/swimmom-mockup.jpeg" width="400" alt="SwimMom iOS app mockup"/>
</p>
This example shows /last30days learning that **JSON prompts dominate** the Nano Banana Pro community (not plain text), then applying that format to generate an iOS mockup in one shot. The research came from real X creators and Reddit threads - techniques you wouldn't find in official docs.
---
## Example: Kanye West (Current Events)
**Query:** `/last30days kanye west`
**Research Output:**
> **The Apology Arc** - On January 26, Ye published a full-page letter in The Wall Street Journal titled "To Those I've Hurt," apologizing for antisemitic comments and attributing it to a four-month manic episode, an undiagnosed brain injury from his 2002 car crash, and bipolar type-1 disorder. The ADL called it "long overdue" but said it "doesn't automatically undo his long history of antisemitism." Then on February 9, he posted "I love Hitler now what" - blowing up the goodwill almost immediately, per The Mirror. Fans on X are split on whether the apology was genuine or just pre-album PR, per @dekreationz's viral post (8.6K likes).
>
> **BULLY Album** - Twelfth studio album set for March 20 via YZY and Gamma. 13 tracks with Peso Pluma, Playboi Carti, and Ty Dolla Sign features. Sonically it leans toward 808s/MBDTF territory - more singing than rapping. Ye has reportedly removed all deepfaked/AI-generated vocals from the final version, per Rolling Stone.
>
> **Bianca Censori Breaks Silence** - In a Vanity Fair tell-all, Bianca spoke publicly for the first time about their marriage, saying "This year was a lot like doing CPR for months." She confirmed her outfits are her own choice and revealed their relationship started when she was head of architecture at Yeezy, per TMZ.
>
> **Kim/Instagram Drama** - A screenshot of Ye allegedly commenting on Kim's Complex magazine post went mega-viral on X. Multiple Grok fact-checks confirmed it's likely fabricated, but @dekreationz's post racked up nearly 9K likes regardless - showing the Ye/Kim narrative still drives massive engagement.
**Key patterns from the research:**
1. Apology-then-relapse cycle - The WSJ letter was immediately undercut by new inflammatory posts, making sincerity the dominant debate, per Washington Post
2. Album as PR vehicle - Skeptics across X tie the apology's timing directly to BULLY's March 20 release, per @trustGod_007
3. Bianca as her own story - Transitioning from "Kanye's wife" to individual public figure through Vanity Fair
4. Fake screenshot virality - Fabricated Ye content still goes massively viral before debunking, per @dekreationz
**Research Stats:** 3 Reddit threads (193 upvotes, 192 comments) + 33 X posts (9,295 likes, 279 reposts) from r/Kanye, r/hiphopheads, @dekreationz (8,684 likes), @trustGod_007
**Follow-up suggestions offered:**
> I'm now an expert on Kanye West. Some things I can help with:
> - What's the real story behind the apology letter - genuine accountability or pre-album PR?
> - Deep dive on BULLY: tracklist, Gamma deal, and removal of AI vocals
> - The Bianca Censori Vanity Fair interview - what she actually said vs. the tabloid headlines
This example shows /last30days as a **current events research tool** - no prompting, no target tool, just "what's happening with Kanye?" and you get a synthesized expert briefing pulled from 33 X posts and 3 Reddit threads with real engagement data.
---
## Example: Anthropic Odds (Prediction Markets)
**Query:** `/last30days anthropic odds`
**Research Output:**
> **Pentagon standoff is THE story right now** - Defense Secretary Hegseth gave Anthropic a Friday deadline to drop AI guardrails for military use or face blacklisting via the Defense Production Act, per CBS, CNN, Bloomberg, and a wave of X posts from @The__GDD, @trendy_tech_, and @jimkaskade. The trigger was Claude's use during the Maduro capture operation in January. Anthropic CEO Dario Amodei insists AI-controlled weapons and mass surveillance are lines the company won't cross. Polymarket traders put the ban odds at just 22%, signaling they think it's posturing, per @Lolipeterh.
>
> **Prediction markets love Anthropic's tech, skeptical on IPO** - Polymarket gives Anthropic a 98% chance of having the best AI model at end of February and 61% for March (Google at 22%, OpenAI at 10%). Claude 4.6 is dominating. But the IPO picture is murkier: @predictheory flagged that Anthropic IPO-first odds on Kalshi "fell through the floor, ~70% down to the low teens in one move." Polymarket has Anthropic at 64% to IPO before OpenAI, but 95% NO on an IPO by June 2026. Meanwhile, 87% odds Anthropic hits $500B+ valuation this year - current valuation is $380B after a $30B raise led by GIC and Coatue, per Fortune.
>
> **Claude FrontierMath odds surging** - Polymarket's "Will Claude score 50% on FrontierMath?" market jumped 28% today to 48% YES. This is a live bet on whether Claude can crack elite-level math benchmarks by June 30.
**Key patterns from the research:**
1. Pentagon standoff as posturing - Polymarket gives only 22% chance of actual ban, money says it's negotiation theater
2. Model dominance vs IPO uncertainty - 98% best model, but IPO timing is wide open
3. FrontierMath as a live benchmark bet - real money tracking Claude's capability trajectory
4. Big money piling in - Dan Sundheim's D1 Capital, Amazon's quiet bet, $380B valuation
**Research Stats:** 25 X posts (218 likes) + 13 YouTube videos (719K views) + 6 HN stories (48 points) + 11 Polymarket markets (Best model Feb: 98%, March: 61%, IPO first: 64%, $500B+ val: 87%, FrontierMath 50%: 48%)
This example shows /last30days as a **prediction market intelligence tool** - two words ("anthropic odds") and you get 11 live Polymarket positions spanning model benchmarks, IPO timing, valuation milestones, and the Pentagon standoff, all synthesized with X commentary, YouTube analysis, and HN discussion. The two-pass query expansion found markets where "Anthropic" is an outcome inside broader "best AI model" and "AI company IPO" events.
---
## Example: Vibe Motion (Brand New AI Tool)
**Query:** `/last30days higgsfield motion vibe motion prompting`
**Research Output:**
> **Vibe Motion just launched (Feb 5-6, 2026) and it's blowing up** - Higgsfield dropped a Claude-powered motion design tool that generates editable motion graphics from plain-English prompts. It's the first AI video tool with actual reasoning, per @Hartdrawss, and @rezkhere called it out as something "no other AI can do." Linus Ekenstam said it "broke his brain" - work that took hours in After Effects now takes minutes.
>
> **It generates code, not pixels** - Unlike other AI video tools, Vibe Motion produces actual animation code (via Remotion under the hood), not hallucinated video. Text never breaks, edits stay consistent, and you get a controllable, editable asset, per @Totinhiiio.
>
> **Honest reviews: promising but not polished yet** - Chase Jarvis found results "okay" but noted 5+ minute render times, credit burn on iteration (8-60 credits per gen, $9 plan = ~150 credits), and that basic results are achievable faster with Canva. His verdict: "not quite ready for prime time" but the underlying tech shows significant potential.
**Key patterns discovered:**
1. Describe structure, not effects - Focus on timing, hierarchy, typography, and flow rather than expressive visual storytelling, per Higgsfield's official guide
2. Upload your actual assets first - Brand logos, product images, PDFs give the AI context to build around YOUR files, not generic placeholders
3. Use presets as starting points - Select a format (Infographics, Text Animation, Posters) before writing your prompt
4. Keep prompts conversational and direct - Short commands > long descriptions. "Create a kinetic typography intro" beats a paragraph of specs, per Segmind
5. Budget for iteration - Each generation burns credits, so get your prompt right before hitting generate, per Chase Jarvis
**Research Stats:** 10 Reddit threads + 30 X posts from @rezkhere, @Hartdrawss, @Totinhiiio + 14 web pages (Higgsfield blog, Chase Jarvis, SiliconANGLE, Segmind)
**Follow-up suggestions offered:**
> I'm now an expert on Higgsfield Vibe Motion prompting. What do you want to make?
> - A branded infographic animation with your company metrics animating in
> - A kinetic typography intro/bumper for a YouTube series
> - A logo reveal animation with particle effects and custom brand colors
This example shows /last30days researching **a tool that launched 2 days ago**. No blog roundups existed yet - the research came from X creators and Reddit threads reacting in real-time. You get prompting advice from the people actually using it, not SEO articles written after the fact.
---
@@ -105,6 +397,125 @@ This example shows /last30days learning **domain-specific prompting techniques**
---
## Example: ClawdBot Use Cases (Community Research)
**Query:** `/last30days best clawdbot use cases`
**Research Output:**
> ClawdBot is a self-hosted AI assistant that runs on your devices and connects via messaging apps (Telegram, WhatsApp, Discord, Slack, iMessage). Unlike ChatGPT/Claude, it has persistent memory and can proactively message you. The killer feature is its 24/7 autonomous operation - it handles multi-day tasks, monitors for replies, and initiates contact.
**Most mentioned use cases:**
🏆 Top 5 by engagement:
1. **Email/Calendar automation** - mentioned 8x+ (r/selfhosted, @dreetje, @danpeguine, MacStories)
- Morning briefings, spam filtering, auto-replies, recruiter declines
2. **Task management via chat** - mentioned 6x (r/LocalLLaMA, @danpeguine, multiple X posts)
- Todoist integration, importance scoring, time-blocking tasks
3. **Overnight coding agent** - mentioned 5x (@bffmike 225 likes, r/LocalLLaMA)
- "Drove my coding agents from 12:30-7am while I snoozed"
- Pulls repos, runs tests, commits if clean
4. **Smart home + life admin** - mentioned 5x (r/selfhosted, VelvetShark)
- WHOOP health data, Philips Hue, HomeAssistant, SSH to homelab
5. **Browser automation** - mentioned 4x (@steipete 243 likes, MacStories)
- Car negotiation via email/PDF, restaurant reservations via ElevenLabs calls
**Notable single mentions:**
- Custom meditation generation with TTS + ambient audio
- Built a full website (Stumblereads.com) from phone while putting baby to sleep
- Ray-Ban Meta glasses integration
- WhatsApp as control interface for everything
**Research Stats:** 9 Reddit threads (161 upvotes, 95 comments) + 19 X posts (2,018 likes, 96 reposts) from r/LocalLLaMA, r/selfhosted, @steipete, @danpeguine, @dreetje
This example shows /last30days as a **product research tool** - discovering real-world use cases and community sentiment for any tool or product, complete with engagement metrics that tell you what people actually care about.
---
## Example: ClawdBot Setup (Installation Guide)
**Query:** `/last30days how to best setup clawdbot`
**Research Output:**
> ClawdBot setup varies by deployment style - Docker is the most recommended path, but users are also deploying via bare metal and cloud VMs. The community has converged on key best practices: use the setup wizard for initial config, start with conservative hardware (you can scale up), and configure authentication before exposing any endpoints.
**🛠️ Setup patterns by engagement:**
| Pattern | Mentions | Key Sources |
|---------|----------|-------------|
| Docker Compose deployment | 6x | r/selfhosted, r/LocalLLaMA |
| Setup wizard (interactive config) | 5x | @dreetje, documentation |
| API key management | 4x | r/selfhosted, security threads |
| Hardware requirements | 4x | r/LocalLLaMA (GPU discussions) |
| Reverse proxy (Caddy/nginx) | 3x | r/selfhosted |
**Key setup insights from community:**
1. **Use the setup wizard** - Don't manually edit config files first; the wizard handles 90% of initial setup
2. **Start small on hardware** - 8GB RAM minimum, but 16GB+ recommended if running local models
3. **Docker > bare metal** - Easier updates, better isolation, community-tested compose files
4. **Secure before exposing** - Set up authentication before opening ports; ClawdBot has built-in auth
5. **Cost management** - Set API rate limits early; one user reported $200 overnight bill from runaway tasks
**Quick-start commands (community-verified):**
```bash
# Clone and setup
git clone https://github.com/clawdbot/clawdbot.git
cd clawdbot
# Run setup wizard (recommended)
./setup.sh
# Or Docker Compose (after config)
docker compose up -d
```
**Common gotchas mentioned:**
- Don't forget to set `CLAWDBOT_API_KEY` before first run
- Telegram bot token needs BotFather setup first
- If using local models, ensure CUDA drivers are installed
**Research Stats:** 8 Reddit threads (128 upvotes) + 22 X posts (24,000+ likes) from r/selfhosted, r/LocalLLaMA, @dreetje, @steipete
This example shows /last30days as a **setup guide aggregator** - pulling together scattered installation advice, gotchas, and best practices from real users who've already solved the problems you're about to encounter.
---
## Example: Top Claude Code Skills (Recommendations)
**Query:** `/last30days top claude code skills`
**Research Output:**
> The Claude Code skills ecosystem has exploded with marketplaces, curated lists, and viral skill announcements. The Remotion video skill got 17.3K likes on X. SkillsMP emerged as a marketplace with 60-87K+ skills. Multiple GitHub repos (awesome-claude-skills, Superpowers) are actively curated.
**🏆 Most mentioned skills/resources:**
| Rank | Skill/Resource | Mentions | Sources | Engagement |
|------|----------------|----------|---------|------------|
| 1 | Remotion skill | 4x | X (@Remotion, @joshua_xu_), web | 17.3K likes, video creation |
| 2 | SkillsMP marketplace | 5x | X (@milesdeutscher, @rexan_wong), web | 60-87K+ skills directory |
| 3 | awesome-claude-skills (GitHub) | 4x | Web (travisvn, ComposioHQ repos) | Multiple curated lists |
| 4 | Superpowers | 3x | Web, GitHub | 27.9K stars |
| 5 | HeyGen avatar skill | 2x | X (@joshua_xu_), web | 736 likes, AI avatars |
| 6 | Trail of Bits Security Skills | 2x | Web | CodeQL/Semgrep auditing |
| 7 | Claude Command Suite | 2x | GitHub, web | 148+ commands, 54 agents |
| 8 | MCP Builder | 2x | Web | Build MCP servers |
| 9 | Test-Driven Development | 2x | Web, skill guides | Pre-implementation testing |
| 10 | Systematic Debugging | 2x | Web | Root cause analysis |
**Notable single mentions:** UI/UX Pro Max (16.9K stars), SuperClaude framework, Compound Engineering Plugin, docx/pdf/pptx document skills, Nano-Banana, Connect (1000+ app integrations)
**Marketer skill stack** (from @vibecode_edu): Slack, Email Knowledge, Nano-Banana, Notion, Skill Creator, Twitter post, Typefully
**Key insight from Reddit:** Keep CLAUDE.md short (~1K context), use Skills for "context on demand", and ensure skill descriptions contain your trigger keywords.
**Research Stats:** 4 Reddit threads (238 upvotes, 156 comments) + 15 X posts (28K+ likes, 2.8K reposts) from r/ClaudeCode, r/ClaudeAI, @Remotion, @milesdeutscher
This example shows /last30days as a **discovery tool** - finding the most popular resources in a rapidly evolving ecosystem by tracking what the community is actually sharing and upvoting.
---
## Example: Discover Viral Trends (Dog as Human)
**Query:** `/last30days using ChatGPT to make images of dogs`
@@ -152,7 +563,7 @@ This example shows how /last30days discovers **viral trends you didn't know exis
**Query:** `/last30days research best practices for beautiful remotion animation videos in claude code`
**Research Output:**
> The Remotion + Claude Code combination has emerged as a powerful workflow. Users consistently report that simple, clear prompts with scene-by-scene descriptions yield the best results. Key insights: iteration is essentialmost "beautiful" videos come from back-and-forth refinement rather than one-shot prompts.
> The Remotion + Claude Code combination has emerged as a powerful workflow. Users consistently report that simple, clear prompts with scene-by-scene descriptions yield the best results. Key insights: iteration is essential, most "beautiful" videos come from back-and-forth refinement rather than one-shot prompts.
**Then asked:** "Can you make a prompt for a 50 second launch video for my /last30days skill?"
@@ -208,6 +619,69 @@ This prompt was generated based on research from 10 Reddit threads (294 upvotes)
---
## Example: Photorealistic Portraits (Aging Grid)
**Query:** `/last30days photorealistic people in nano banana pro`
**Research Output:**
> JSON prompts are the dominant format for photorealistic people in Nano Banana Pro. Nearly every viral X post (4,400+ likes total) uses structured JSON with specific fields rather than natural language. The key is specifying demographics, skin texture, lighting, and camera settings in a structured way.
>
> Recent caveat: Reddit reports Nano Banana Pro was "nerfed" in early January 2026 with reduced resolution and stricter moderation on faces. Starting a new chat can help if quality drops mid-session.
**Key patterns discovered:**
1. JSON structure with prompt_type, subject, lighting, camera_settings fields
2. Skin texture keywords: "natural pores", "realistic skin texture", "8K texture quality"
3. Face preservation: "preserve_original": true when using reference photos
4. Camera realism: specify lens (85mm f/1.4), depth of field, lighting setup
5. Wet skin close-ups are trending for maximum realism
6. Negative prompts: "no cartoon effect, no distortion, correct anatomy"
**Then asked:** "2x2 grid of the same person at age 10, 20, 40 and 80 - a woman with brown hair and a lot of freckles and cat eyes that are a different color"
**Generated Prompt:**
```json
{
"prompt_type": "Ultra-Photorealistic Multi-Panel Portrait",
"layout": "2x2 grid, seamless white dividers",
"aspect_ratio": "1:1",
"consistency": {
"same_person": true,
"preserve_features": ["bone structure", "freckle pattern", "eye shape", "heterochromia"]
},
"subject": {
"identity": "Same woman shown at 4 life stages",
"distinctive_features": {
"eyes": "Almond-shaped cat eyes with heterochromia - one green, one amber",
"skin": "Fair complexion densely covered in natural freckles across nose, cheeks, and forehead",
"hair": "Brown hair, natural texture"
}
},
"panels": [
{"position": "top-left", "age": 10, "expression": "curious childhood smile", "hair": "long brown hair with bangs"},
{"position": "top-right", "age": 20, "expression": "confident young adult", "hair": "shoulder-length brown hair"},
{"position": "bottom-left", "age": 40, "expression": "warm maternal gaze", "hair": "brown hair with subtle highlights"},
{"position": "bottom-right", "age": 80, "expression": "wise gentle smile", "hair": "silver-gray, formerly brown"}
],
"lighting": "Soft natural window light, consistent across all panels",
"camera": "85mm portrait lens, shallow depth of field, neutral background",
"texture_quality": "8K, natural skin texture with visible pores, realistic freckle detail",
"negative": "no cartoon effect, no airbrushed skin, no symmetrical freckles, maintain heterochromia in all panels"
}
```
**The Result:**
<p align="center">
<img src="assets/aging-portrait.jpeg" width="500" alt="Aging portrait grid - same woman at 10, 20, 40, and 80"/>
</p>
Same freckles. Same heterochromia. Same bone structure. Four life stages in one coherent image.
This example shows /last30days learning **advanced image generation patterns** (multi-panel consistency, face preservation across variations) and applying them to create a complex composite image.
---
## Example: Best Rap Songs Right Now
**Query:** `/last30days What are the best rap songs lately`
@@ -442,29 +916,300 @@ This example shows /last30days discovering **emerging developer workflows** - re
| Flag | Description |
|------|-------------|
| `--quick` | Faster research, fewer sources (8-12 each) |
| `--deep` | Comprehensive research (50-70 Reddit, 40-60 X) |
| `--days=N` | Look back N days instead of 30 (e.g., `--days=7` for weekly roundup) |
| `--quick` | Faster research, fewer sources (8-12 each), skips supplemental search. YouTube: 10 videos, 3 transcripts |
| `--deep` | Comprehensive research (50-70 Reddit, 40-60 X) with extended supplemental. YouTube: 40 videos, 8 transcripts |
| `--debug` | Verbose logging for troubleshooting |
| `--sources=reddit` | Reddit only |
| `--sources=x` | X only |
| `--include-web` | Add native web search alongside Reddit/X (requires web search API key) |
| `--store` | Persist findings to SQLite database for watchlist/briefing integration |
| `--diagnose` | Show source availability diagnostics (API keys, Bird, YouTube, web backends) and exit |
## Requirements
- **OpenAI API key** - For Reddit research (uses web search)
- **xAI API key** - For X research (optional but recommended)
- **OpenAI auth** - For Reddit research (uses web search via Responses API). Use `OPENAI_API_KEY` or `codex login`.
- **Node.js 22+** - For X search (bundled Twitter GraphQL client)
- **Bundled X auth** - Set `AUTH_TOKEN` and `CT0` for popup-free local X search
- **Alternate X backend** - Set `XAI_API_KEY` if bundled X auth is not configured
- **yt-dlp** (optional) - For YouTube search + transcript extraction. Install via `brew install yt-dlp` or `pip install yt-dlp`. When present, automatically searches YouTube and extracts video transcripts as an additional source.
At least one key is required.
At least one auth path is required. Reddit needs OpenAI auth. X needs either `AUTH_TOKEN` plus `CT0` or `XAI_API_KEY`. YouTube search activates automatically when yt-dlp is in your PATH.
## Troubleshooting
### macOS: SSL Certificate Verify Failed
If you see `[SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: unable to get local issuer certificate`, your Python installation is missing SSL root certificates. This only affects Python installed from python.org — **Homebrew users are not affected**.
```bash
# Check which Python you have
which python3
# Homebrew: /opt/homebrew/bin/python3 or /usr/local/bin/python3
# Python.org: /Library/Frameworks/Python.framework/...
# Fix: run the certificate installer (adjust version as needed)
sudo "/Applications/Python 3.12/Install Certificates.command"
```
## How It Works
The skill uses:
- OpenAI's Responses API with web search to find Reddit discussions
- xAI's API with live X search to find posts
- Real Reddit thread enrichment for engagement metrics
- Scoring algorithm that weighs recency, relevance, and engagement
### Two-Phase Search Architecture
**Phase 1: Broad discovery**
- OpenAI Responses API with `web_search` tool scoped to reddit.com
- Vendored Twitter GraphQL search (or xAI API fallback) for X search
- YouTube search + transcript extraction via yt-dlp (when installed)
- Hacker News search via Algolia API (free, no auth)
- Polymarket prediction market search via Gamma API (free, no auth)
- WebSearch for blogs, news, docs, tutorials
- Reddit JSON enrichment for real engagement metrics (upvotes, comments)
- Scoring algorithm weighing recency, relevance, and engagement
**Phase 2: Smart supplemental search** (new in V2)
- Extracts entities from Phase 1 results: @handles from X posts, subreddit names from Reddit
- Runs targeted follow-up searches: `from:@handle topic` on X, subreddit-scoped searches on Reddit
- Uses Reddit's free `.json` search endpoint (no API key needed for supplemental)
- Merges and deduplicates with Phase 1 results
- Skipped on `--quick` for speed; extended on `--deep`
### Model Fallback Chain
Reddit search (via OpenAI) automatically falls back through available models:
gpt-4.1 -> gpt-4o -> gpt-4o-mini
If your OpenAI org doesn't have access to a model (e.g., unverified for gpt-4.1), it tries the next one.
---
*30 days of research. 30 seconds of work.*
## What's New in v2.9
*Prompt research. Trend discovery. Expert answers.*
### ScrapeCreators Reddit as default
Reddit now runs on [ScrapeCreators](https://scrapecreators.com) by default. One `SCRAPECREATORS_API_KEY` powers Reddit, TikTok, and Instagram — three sources, one key. No more `OPENAI_API_KEY` required for Reddit search.
```bash
echo 'SCRAPECREATORS_API_KEY=your_key_here' >> ~/.config/last30days/.env
```
### Smart subreddit discovery
Subreddit discovery now uses relevance-weighted scoring instead of pure frequency count. Each candidate subreddit is scored by `frequency × recency × topic-word match`, and a `UTILITY_SUBS` blocklist filters noise subreddits (r/tipofmytongue, r/whatisthisthing, etc.).
| Topic | Before (v2.8) | After (v2.9) |
|-------|---------------|--------------|
| Claude Code skills | Generic programming subs | r/ClaudeAI, r/ClaudeCode, r/openclaw |
| Kanye West | r/AskReddit, r/OutOfTheLoop | r/hiphopheads, r/Kanye, r/NFCWestMemeWar |
| Nano Banana Pro | r/techsupport, r/whatisthisthing | r/GeminiAI, r/nanobanana2pro, r/macbookpro |
### Top comments elevated
Top comments now carry a 10% weight in the engagement scoring formula and are displayed prominently with `💬` and upvote counts:
```
**R1** (score:80) r/ClaudeAI (2026-02-28) [666pts, 63cmt]
Claude Code creator: In the next version, introducing two new skills
💬 Top comment (245 pts): "This is going to change how everyone works with Claude"
```
**Updated scoring formula:** `0.50 × log1p(score) + 0.35 × log1p(comments) + 0.05 × (ratio×10) + 0.10 × log1p(top_comment_score)` (was 0.55/0.40/0.05).
### Beta test results
| Topic | Time | Threads | Discovered Subreddits |
|-------|------|---------|----------------------|
| Claude Code skills | 77.1s | 99 | r/ClaudeAI, r/ClaudeCode, r/openclaw |
| Kanye West | 71.7s | 84 | r/hiphopheads, r/NFCWestMemeWar, r/Kanye |
| Anthropic odds | 68.0s | 65 | r/Anthropic, r/ClaudeAI, r/OpenAI |
| Best rap songs lately | 68.9s | 114 | r/BestofRedditorUpdates, r/rap, r/TeenageRapFans |
| Nano Banana Pro | 66.6s | 99 | r/GeminiAI, r/nanobanana2pro, r/macbookpro |
---
## What's New in v2.8
### Instagram Reels as a source
**See what creators are posting on Instagram.** Search any topic and get trending Reels with views, likes, spoken-word transcripts, and hashtags — scored and ranked alongside all other sources.
Search "AI tools" and you get:
- 📸 Instagram: 5 reels │ 1.4M views │ 30K likes │ 3 with transcripts
- @danmartell: 803K views — "AI tools from 2025 vs 2026"
- @karimehta05: 112K views — "5 AI Tools I Swear By"
### TikTok + Instagram on ScrapeCreators
Both TikTok and Instagram are powered by [ScrapeCreators](https://scrapecreators.com) — one API key covers both sources. 100 free credits, then pay-as-you-go.
```bash
echo 'SCRAPECREATORS_API_KEY=your_key_here' >> ~/.config/last30days/.env
```
**Migrating from Apify?** Replace `APIFY_API_TOKEN` with `SCRAPECREATORS_API_KEY` in your config. The old key is no longer used.
---
## What's New in V2.5
### Polymarket prediction markets and Hacker News
**The killer feature: see what people are betting real money on.** Polymarket prediction markets are searched for any topic, surfacing live odds, 24-hour volume, liquidity, and price movements alongside what people are saying on Reddit/X/YouTube/HN.
Search "Arizona Basketball" and you get:
- NCAA Tournament Winner - Arizona: 12% (30 open markets, $1.2M volume)
- #1 Seed in NCAA Tournament - Arizona: 88% (20 open markets)
- Big 12 Regular Season Champion - Arizona: 69%
Search "Iran War" and you get 15 live prediction markets: US strikes by March (70%), War Powers resolution (60%), Khamenei out by March 31 (18%), war declaration (2%).
**Two-pass query expansion with tag-based domain bridging** discovers markets the Gamma API can't find through title search alone. When your topic is an *outcome* buried inside a broader market (e.g., "Arizona" is a betting option inside "NCAA Tournament Winner"), the first pass searches all individual topic words in parallel, extracts structured category tags from the results (like "NCAA CBB", "Geopolitics"), then runs a second-pass search on those domain indicators. The result: markets that are invisible to keyword search become discoverable through domain context.
**Neg-risk binary market synthesis** handles Polymarket's multi-outcome events (where each team/entity is a separate Yes/No market). The engine detects the binary sub-market pattern, extracts entity names from market questions, and synthesizes a unified outcome display - showing "Arizona: 12%, Duke: 18%, Houston: 15%" instead of raw "Yes: 12%, No: 88%" for each sub-market.
**Hacker News as a source** - HN stories, Show HN posts, and Ask HN threads are searched via the Algolia API, scored by points + comments, and synthesized alongside all other sources. Comment insights are extracted from top threads to surface the technical community's actual take. HN items participate in cross-source convergence detection - when the same topic trends on HN AND Reddit AND YouTube, that signal gets flagged.
No API keys required for either source. Inspired by community PRs from [@ARJ999](https://github.com/ARJ999) ([#12](https://github.com/mvanhorn/last30days-skill/pull/12)) and [@wkbaran](https://github.com/wkbaran) ([#26](https://github.com/mvanhorn/last30days-skill/pull/26)), with [@gbessoni](https://github.com/gbessoni) endorsing HN as the right addition.
### Multi-signal quality-ranked relevance scoring
**Every result across all seven sources runs through a composite scoring pipeline.** V2.5 doesn't just find more content - it ranks it with significantly higher precision.
**Text similarity engine** - Bidirectional substring matching with synonym expansion ("hip hop" matches "rap", "MacBook" matches "Mac", "AI video" matches "text to video") and token-level overlap scoring. A rap music mix titled "Lit Hip Hop Mix 2026" went from relevance 0.33 (almost filtered out) to 0.71. Title + transcript matching catches videos that discuss your topic without mentioning it in the title.
**Polymarket 5-factor weighted composite** - Markets are ranked by text relevance (30%), 24-hour trading volume (30%), liquidity depth (15%), price movement velocity (15%), and outcome competitiveness (10%). Outcome-aware scoring matches your topic against individual market positions using bidirectional substring matching and token overlap - not just event titles. A market with your topic at 88% probability ranks higher than one where it's at 2%.
**Cross-platform convergence detection** - When the same story appears on multiple platforms, the skill flags it with `[also on: Reddit, HN]` or `[also on: X, YouTube]`. Uses hybrid similarity (character trigram Jaccard + token Jaccard) to detect matches even when titles differ across platforms. These cross-platform signals are the strongest evidence that something actually matters.
**Channel authority weighting** - Boosts results from established creators. Source-specific engagement normalization ensures a 500-upvote Reddit thread and a 5,000-like X post are compared on equal footing.
### Blinded quality comparison
Ran a 15-way blinded comparison across 5 topics (Claude Code, Seedance, MacBook Pro, rap songs, React vs Svelte). Three versions, labels stripped, randomized as A/B/C:
| Version | Score |
|---------|-------|
| v2.5 (Polymarket + HN + scoring) | 4.38/5.0 |
| v2 (with HN) | 4.10/5.0 |
| v1 (original) | 3.73/5.0 |
Scored on groundedness (30%), specificity (25%), coverage (20%), actionability (15%), format (10%). The relative ranking is meaningful; absolute numbers are LLM-grading-LLM and shouldn't be taken as objective quality scores. The biggest gains came from prediction market data and detecting where sources agree.
### X handle resolution
Search "Dor Brothers" and the skill resolves their handle (@thedorbrothers), then searches their posts directly with no topic filter. Their viral tweet - "We made a $300M movie starring @LoganPaul with AI in less than 7 days" (5,600+ likes) - never says "Dor Brothers" in the text. Keyword search can't find it. Handle resolution can. Result: 40 X posts (6,900+ likes) instead of 30 (161 likes). Works for people, brands, products, and tools. [Details below.](#x-handle-resolution-details)
### X handle resolution details
The problem: when you search a topic on X, you find posts *about* it. But the topic's own account often doesn't mention its own name in tweets. Keyword search can't find those posts.
The solution: before running the search, the skill does one WebSearch to resolve the topic's X handle. It finds the handle, then searches their posts directly with no topic filter - catching viral posts keyword search misses entirely.
Works for people, brands, products, and tools - anything that might have an X account. The skill verifies handles aren't parody or fan accounts before using them. If no official account exists (like Seedance, which doesn't have one), it skips gracefully.
**How it works:**
```
1. Agent WebSearches "{topic} X twitter handle site:x.com"
2. Extracts and verifies the handle from results
3. Passes --x-handle={handle} to the search engine
4. Engine searches from:{handle} with no topic keywords (unfiltered)
5. Results merged with keyword search, deduplicated, scored
```
No extra API keys needed - uses the agent's built-in WebSearch (available to 100% of users).
---
## What's New in V2.1
### Open-class skill with watchlists (v2.1)
**The biggest feature in v2.1 isn't a new source - it's what happens when you pair /last30days with an always-on bot.** The open variant adds a watchlist, briefings, and history. Add `"Competitor X"` to your watchlist, set it to weekly, and when your bot's cron job fires every Monday, you get a research briefing - what they shipped, what people said about it, what Reddit and X are discussing. The research accumulates in a local SQLite database, and you can query it anytime with natural language.
**Designed for [Open Claw](https://github.com/openclaw/openclaw) and similar always-on environments.** The watchlist stores schedules as metadata - you need cron, launchd, or a persistent bot to actually trigger runs. In Claude Code you can still use `run-one` and `run-all` manually.
### YouTube search with transcripts (v2.1)
**YouTube is now a 4th research source.** When yt-dlp is installed (`brew install yt-dlp`), /last30days automatically searches YouTube for your topic, fetches view counts and engagement data, and extracts auto-generated transcripts from the top videos. Transcripts give the synthesis engine actual content to work with - not just titles.
YouTube items go through the same scoring pipeline (relevance + recency + engagement) and are deduped, scored, and rendered alongside Reddit and X results. Views dominate YouTube's engagement formula since they're the primary discovery signal.
Inspired by [Peter Steinberger](https://x.com/steipete)'s yt-dlp + [summarize](https://github.com/steipete/summarize) toolchain. Peter's approach of combining yt-dlp for search/metadata with transcript extraction for content analysis was the direct inspiration for this feature.
### Works in OpenAI Codex CLI (v2.1)
**Same skill, different host.** Install to `~/.agents/skills/last30days` and invoke with `$last30days` inside Codex. The `agents/openai.yaml` provides Codex-specific discovery metadata. Same SKILL.md, same Python engine, same four sources.
### Bundled X search (v2.1)
**X search is fully self-contained** - No external `bird` CLI install needed. /last30days bundles a vendored subset of Bird's Twitter GraphQL client (MIT licensed, by Peter Steinberger). With Node.js 22+ plus `AUTH_TOKEN` and `CT0`, it runs locally without browser-cookie prompts. Falls back to xAI API if bundled auth is not configured.
### Everything else (v2.1)
**`--days=N` flag** - Configurable lookback window. `/last30days topic --days=7` for a weekly roundup, `--days=14` for two weeks.
**Model fallback chain** - If your OpenAI org can't access gpt-4.1, automatically falls back to gpt-4o, then gpt-4o-mini. No config needed.
**Context-aware invitations** - After research, the skill generates specific follow-up suggestions based on what it actually learned (not generic templates). For example, after researching Nano Banana Pro it might suggest "Photorealistic product shots with natural lighting" rather than a generic "describe what you want."
**Citation priority** - Cites @handles from X and r/subreddits over web sources, because the skill's value is surfacing what *people* are saying, not what journalists wrote.
**Marketplace plugin support** - Ships with `.claude-plugin/plugin.json` for Claude Code marketplace compatibility. (Inspired by [@galligan](https://github.com/galligan)'s PR)
---
## What's New in V2
### Way better X and Reddit results
V2 finds significantly more content than V1. Two major improvements:
**Smarter query construction** - V1 sent overly specific queries to X search (literal keyword AND matching), causing 0 results on topics that were actively trending. V2 aggressively strips research/meta words ("best", "prompt", "techniques", "tips") and question prefixes ("what are people saying about") to extract just the core topic. Example: `"vibe motion best prompt techniques"` now searches for `"vibe motion"` instead of `"vibe motion prompt techniques"` - going from 0 posts to 12+. Automatically retries with fewer keywords if the first attempt returns nothing.
**Smart supplemental search (Phase 2)** - After the initial broad search, extracts key @handles and subreddits from the results, then runs targeted follow-up searches to find content that keyword search alone misses. Example: researching "Open Claw" automatically discovers @openclaw, @steipete and drills into their posts. For Reddit, it hits the free `.json` search endpoint scoped to discovered subreddits - no extra API keys needed.
**Reddit JSON enrichment** - Fetches real upvote and comment counts from Reddit's free API for every thread, giving you actual engagement signals instead of estimates.
### Community contributions
Thanks to the contributors who helped shape V2:
- [@JosephOIbrahim](https://github.com/JosephOIbrahim) - Windows Unicode fix
- [@levineam](https://github.com/levineam) - Model fallback for unverified orgs
- [@jonthebeef](https://github.com/jonthebeef) - `--days=N` configurable lookback
---
## Security & Privacy
### Data that leaves your machine
| Destination | Data Sent | API Key Required |
|------------|-----------|-----------------|
| `api.scrapecreators.com` | Search query (Reddit + TikTok + Instagram) | SCRAPECREATORS_API_KEY |
| `api.openai.com` | Search query (legacy Reddit fallback) | OPENAI_API_KEY |
| `reddit.com` | Thread URLs for enrichment | None (public JSON) |
| Twitter GraphQL / `api.x.ai` | Search query | AUTH_TOKEN/CT0 or XAI_API_KEY |
| `youtube.com` (via yt-dlp) | Search query | None (public search) |
| `hn.algolia.com` | Search query | None (public API) |
| `gamma-api.polymarket.com` | Search query | None (public API) |
| `api.search.brave.com` | Search query (optional) | BRAVE_API_KEY |
| `api.parallel.ai` | Search query (optional) | PARALLEL_API_KEY |
| `openrouter.ai` | Search query (optional) | OPENROUTER_API_KEY |
Your research topic is included in all outbound API requests. If you research sensitive topics, be aware that query strings are transmitted to the API providers listed above.
### Data stored locally
- API keys: `~/.config/last30days/.env` (chmod 600 recommended)
- Watchlist database: `~/.local/share/last30days/research.db` (SQLite)
- Briefings: `~/.local/share/last30days/briefs/`
### API key isolation
Each API key is transmitted only to its respective endpoint. Your OpenAI key is never sent to xAI, Brave, or any other provider. Browser cookies for X are read locally and used only for Twitter GraphQL requests.
---
*30 days of research. 30 seconds of work. Eight sources. Zero stale prompts.*
*Pair with [Open Claw](https://github.com/openclaw/openclaw) for automated watchlists and briefings. Reddit. X. YouTube. TikTok. Instagram. Web. — All synthesized into expert answers and copy-paste prompts.*
+391
View File
@@ -0,0 +1,391 @@
---
name: last30days
description: Research a topic from the last 30 days on Reddit + X + Web, become an expert, and write copy-paste-ready prompts for the user's target tool.
argument-hint: "[topic] for [tool]" or "[topic]"
context: fork
agent: Explore
disable-model-invocation: true
allowed-tools: Bash, Read, Write, AskUserQuestion, WebSearch
---
# last30days: Research Any Topic from the Last 30 Days
Research ANY topic across Reddit, X, and the web. Surface what people are actually discussing, recommending, and debating right now.
Use cases:
- **Prompting**: "photorealistic people in Nano Banana Pro", "Midjourney prompts", "ChatGPT image generation" → learn techniques, get copy-paste prompts
- **Recommendations**: "best Claude Code skills", "top AI tools" → get a LIST of specific things people mention
- **News**: "what's happening with OpenAI", "latest AI announcements" → current events and updates
- **General**: any topic you're curious about → understand what the community is saying
## CRITICAL: Parse User Intent
Before doing anything, parse the user's input for:
1. **TOPIC**: What they want to learn about (e.g., "web app mockups", "Claude Code skills", "image generation")
2. **TARGET TOOL** (if specified): Where they'll use the prompts (e.g., "Nano Banana Pro", "ChatGPT", "Midjourney")
3. **QUERY TYPE**: What kind of research they want:
- **PROMPTING** - "X prompts", "prompting for X", "X best practices" → User wants to learn techniques and get copy-paste prompts
- **RECOMMENDATIONS** - "best X", "top X", "what X should I use", "recommended X" → User wants a LIST of specific things
- **NEWS** - "what's happening with X", "X news", "latest on X" → User wants current events/updates
- **GENERAL** - anything else → User wants broad understanding of the topic
Common patterns:
- `[topic] for [tool]` → "web mockups for Nano Banana Pro" → TOOL IS SPECIFIED
- `[topic] prompts for [tool]` → "UI design prompts for Midjourney" → TOOL IS SPECIFIED
- Just `[topic]` → "iOS design mockups" → TOOL NOT SPECIFIED, that's OK
- "best [topic]" or "top [topic]" → QUERY_TYPE = RECOMMENDATIONS
- "what are the best [topic]" → QUERY_TYPE = RECOMMENDATIONS
**IMPORTANT: Do NOT ask about target tool before research.**
- If tool is specified in the query, use it
- If tool is NOT specified, run research first, then ask AFTER showing results
**Store these variables:**
- `TOPIC = [extracted topic]`
- `TARGET_TOOL = [extracted tool, or "unknown" if not specified]`
- `QUERY_TYPE = [RECOMMENDATIONS | NEWS | HOW-TO | GENERAL]`
---
## Setup Check
The skill works in three modes based on available API keys:
1. **Full Mode** (both keys): Reddit + X + WebSearch - best results with engagement metrics
2. **Partial Mode** (one key): Reddit-only or X-only + WebSearch
3. **Web-Only Mode** (no keys): WebSearch only - still useful, but no engagement metrics
**API keys are OPTIONAL.** The skill will work without them using WebSearch fallback.
### First-Time Setup (Optional but Recommended)
If the user wants to add API keys for better results:
```bash
mkdir -p ~/.config/last30days
cat > ~/.config/last30days/.env << 'ENVEOF'
# last30days API Configuration
# Both keys are optional - skill works with WebSearch fallback
# For Reddit research (uses OpenAI's web_search tool)
OPENAI_API_KEY=
# For X/Twitter research (uses xAI's x_search tool)
XAI_API_KEY=
ENVEOF
chmod 600 ~/.config/last30days/.env
echo "Config created at ~/.config/last30days/.env"
echo "Edit to add your API keys for enhanced research."
```
**DO NOT stop if no keys are configured.** Proceed with web-only mode.
---
## Research Execution
**IMPORTANT: The script handles API key detection automatically.** Run it and check the output to determine mode.
**Step 1: Run the research script**
```bash
python3 ~/.claude/skills/last30days/scripts/last30days.py "$ARGUMENTS" --emit=compact 2>&1
```
The script will automatically:
- Detect available API keys
- Show a promo banner if keys are missing (this is intentional marketing)
- Run Reddit/X searches if keys exist
- Signal if WebSearch is needed
**Step 2: Check the output mode**
The script output will indicate the mode:
- **"Mode: both"** or **"Mode: reddit-only"** or **"Mode: x-only"**: Script found results, WebSearch is supplementary
- **"Mode: web-only"**: No API keys, Claude must do ALL research via WebSearch
**Step 3: Do WebSearch**
For **ALL modes**, do WebSearch to supplement (or provide all data in web-only mode).
Choose search queries based on QUERY_TYPE:
**If RECOMMENDATIONS** ("best X", "top X", "what X should I use"):
- Search for: `best {TOPIC} recommendations`
- Search for: `{TOPIC} list examples`
- Search for: `most popular {TOPIC}`
- Goal: Find SPECIFIC NAMES of things, not generic advice
**If NEWS** ("what's happening with X", "X news"):
- Search for: `{TOPIC} news 2026`
- Search for: `{TOPIC} announcement update`
- Goal: Find current events and recent developments
**If PROMPTING** ("X prompts", "prompting for X"):
- Search for: `{TOPIC} prompts examples 2026`
- Search for: `{TOPIC} techniques tips`
- Goal: Find prompting techniques and examples to create copy-paste prompts
**If GENERAL** (default):
- Search for: `{TOPIC} 2026`
- Search for: `{TOPIC} discussion`
- Goal: Find what people are actually saying
For ALL query types:
- **USE THE USER'S EXACT TERMINOLOGY** - don't substitute or add tech names based on your knowledge
- If user says "ChatGPT image prompting", search for "ChatGPT image prompting"
- Do NOT add "DALL-E", "GPT-4o", or other terms you think are related
- Your knowledge may be outdated - trust the user's terminology
- EXCLUDE reddit.com, x.com, twitter.com (covered by script)
- INCLUDE: blogs, tutorials, docs, news, GitHub repos
- **DO NOT output "Sources:" list** - this is noise, we'll show stats at the end
**Step 3: Wait for background script to complete**
Use TaskOutput to get the script results before proceeding to synthesis.
**Depth options** (passed through from user's command):
- `--quick` → Faster, fewer sources (8-12 each)
- (default) → Balanced (20-30 each)
- `--deep` → Comprehensive (50-70 Reddit, 40-60 X)
---
## Judge Agent: Synthesize All Sources
**After all searches complete, internally synthesize (don't display stats yet):**
The Judge Agent must:
1. Weight Reddit/X sources HIGHER (they have engagement signals: upvotes, likes)
2. Weight WebSearch sources LOWER (no engagement data)
3. Identify patterns that appear across ALL three sources (strongest signals)
4. Note any contradictions between sources
5. Extract the top 3-5 actionable insights
**Do NOT display stats here - they come at the end, right before the invitation.**
---
## FIRST: Internalize the Research
**CRITICAL: Ground your synthesis in the ACTUAL research content, not your pre-existing knowledge.**
Read the research output carefully. Pay attention to:
- **Exact product/tool names** mentioned (e.g., if research mentions "ClawdBot" or "@clawdbot", that's a DIFFERENT product than "Claude Code" - don't conflate them)
- **Specific quotes and insights** from the sources - use THESE, not generic knowledge
- **What the sources actually say**, not what you assume the topic is about
**ANTI-PATTERN TO AVOID**: If user asks about "clawdbot skills" and research returns ClawdBot content (self-hosted AI agent), do NOT synthesize this as "Claude Code skills" just because both involve "skills". Read what the research actually says.
### If QUERY_TYPE = RECOMMENDATIONS
**CRITICAL: Extract SPECIFIC NAMES, not generic patterns.**
When user asks "best X" or "top X", they want a LIST of specific things:
- Scan research for specific product names, tool names, project names, skill names, etc.
- Count how many times each is mentioned
- Note which sources recommend each (Reddit thread, X post, blog)
- List them by popularity/mention count
**BAD synthesis for "best Claude Code skills":**
> "Skills are powerful. Keep them under 500 lines. Use progressive disclosure."
**GOOD synthesis for "best Claude Code skills":**
> "Most mentioned skills: /commit (5 mentions), remotion skill (4x), git-worktree (3x), /pr (3x). The Remotion announcement got 16K likes on X."
### For all QUERY_TYPEs
Identify from the ACTUAL RESEARCH OUTPUT:
- **PROMPT FORMAT** - Does research recommend JSON, structured params, natural language, keywords? THIS IS CRITICAL.
- The top 3-5 patterns/techniques that appeared across multiple sources
- Specific keywords, structures, or approaches mentioned BY THE SOURCES
- Common pitfalls mentioned BY THE SOURCES
**If research says "use JSON prompts" or "structured prompts", you MUST deliver prompts in that format later.**
---
## THEN: Show Summary + Invite Vision
**CRITICAL: Do NOT output any "Sources:" lists. The final display should be clean.**
**Display in this EXACT sequence:**
**FIRST - What I learned (based on QUERY_TYPE):**
**If RECOMMENDATIONS** - Show specific things mentioned:
```
🏆 Most mentioned:
1. [Specific name] - mentioned {n}x (r/sub, @handle, blog.com)
2. [Specific name] - mentioned {n}x (sources)
3. [Specific name] - mentioned {n}x (sources)
4. [Specific name] - mentioned {n}x (sources)
5. [Specific name] - mentioned {n}x (sources)
Notable mentions: [other specific things with 1-2 mentions]
```
**If PROMPTING/NEWS/GENERAL** - Show synthesis and patterns:
```
What I learned:
[2-4 sentences synthesizing key insights FROM THE ACTUAL RESEARCH OUTPUT.]
KEY PATTERNS I'll use:
1. [Pattern from research]
2. [Pattern from research]
3. [Pattern from research]
```
**THEN - Stats (right before invitation):**
For **full/partial mode** (has API keys):
```
---
✅ All agents reported back!
├─ 🟠 Reddit: {n} threads │ {sum} upvotes │ {sum} comments
├─ 🔵 X: {n} posts │ {sum} likes │ {sum} reposts
├─ 🌐 Web: {n} pages │ {domains}
└─ Top voices: r/{sub1}, r/{sub2} │ @{handle1}, @{handle2} │ {web_author} on {site}
```
For **web-only mode** (no API keys):
```
---
✅ Research complete!
├─ 🌐 Web: {n} pages │ {domains}
└─ Top sources: {author1} on {site1}, {author2} on {site2}
💡 Want engagement metrics? Add API keys to ~/.config/last30days/.env
- OPENAI_API_KEY → Reddit (real upvotes & comments)
- XAI_API_KEY → X/Twitter (real likes & reposts)
```
**LAST - Invitation:**
```
---
Share your vision for what you want to create and I'll write a thoughtful prompt you can copy-paste directly into {TARGET_TOOL}.
```
**Use real numbers from the research output.** The patterns should be actual insights from the research, not generic advice.
**SELF-CHECK before displaying**: Re-read your "What I learned" section. Does it match what the research ACTUALLY says? If the research was about ClawdBot (a self-hosted AI agent), your summary should be about ClawdBot, not Claude Code. If you catch yourself projecting your own knowledge instead of the research, rewrite it.
**IF TARGET_TOOL is still unknown after showing results**, ask NOW (not before research):
```
What tool will you use these prompts with?
Options:
1. [Most relevant tool based on research - e.g., if research mentioned Figma/Sketch, offer those]
2. Nano Banana Pro (image generation)
3. ChatGPT / Claude (text/code)
4. Other (tell me)
```
**IMPORTANT**: After displaying this, WAIT for the user to respond. Don't dump generic prompts.
---
## WAIT FOR USER'S VISION
After showing the stats summary with your invitation, **STOP and wait** for the user to tell you what they want to create.
When they respond with their vision (e.g., "I want a landing page mockup for my SaaS app"), THEN write a single, thoughtful, tailored prompt.
---
## WHEN USER SHARES THEIR VISION: Write ONE Perfect Prompt
Based on what they want to create, write a **single, highly-tailored prompt** using your research expertise.
### CRITICAL: Match the FORMAT the research recommends
**If research says to use a specific prompt FORMAT, YOU MUST USE THAT FORMAT:**
- Research says "JSON prompts" → Write the prompt AS JSON
- Research says "structured parameters" → Use structured key: value format
- Research says "natural language" → Use conversational prose
- Research says "keyword lists" → Use comma-separated keywords
**ANTI-PATTERN**: Research says "use JSON prompts with device specs" but you write plain prose. This defeats the entire purpose of the research.
### Output Format:
```
Here's your prompt for {TARGET_TOOL}:
---
[The actual prompt IN THE FORMAT THE RESEARCH RECOMMENDS - if research said JSON, this is JSON. If research said natural language, this is prose. Match what works.]
---
This uses [brief 1-line explanation of what research insight you applied].
```
### Quality Checklist:
- [ ] **FORMAT MATCHES RESEARCH** - If research said JSON/structured/etc, prompt IS that format
- [ ] Directly addresses what the user said they want to create
- [ ] Uses specific patterns/keywords discovered in research
- [ ] Ready to paste with zero edits (or minimal [PLACEHOLDERS] clearly marked)
- [ ] Appropriate length and style for TARGET_TOOL
---
## IF USER ASKS FOR MORE OPTIONS
Only if they ask for alternatives or more prompts, provide 2-3 variations. Don't dump a prompt pack unless requested.
---
## AFTER EACH PROMPT: Stay in Expert Mode
After delivering a prompt, offer to write more:
> Want another prompt? Just tell me what you're creating next.
---
## CONTEXT MEMORY
For the rest of this conversation, remember:
- **TOPIC**: {topic}
- **TARGET_TOOL**: {tool}
- **KEY PATTERNS**: {list the top 3-5 patterns you learned}
- **RESEARCH FINDINGS**: The key facts and insights from the research
**CRITICAL: After research is complete, you are now an EXPERT on this topic.**
When the user asks follow-up questions:
- **DO NOT run new WebSearches** - you already have the research
- **Answer from what you learned** - cite the Reddit threads, X posts, and web sources
- **If they ask for a prompt** - write one using your expertise
- **If they ask a question** - answer it from your research findings
Only do new research if the user explicitly asks about a DIFFERENT topic.
---
## Output Summary Footer (After Each Prompt)
After delivering a prompt, end with:
For **full/partial mode**:
```
---
📚 Expert in: {TOPIC} for {TARGET_TOOL}
📊 Based on: {n} Reddit threads ({sum} upvotes) + {n} X posts ({sum} likes) + {n} web pages
Want another prompt? Just tell me what you're creating next.
```
For **web-only mode**:
```
---
📚 Expert in: {TOPIC} for {TARGET_TOOL}
📊 Based on: {n} web pages from {domains}
Want another prompt? Just tell me what you're creating next.
💡 Unlock Reddit & X data: Add API keys to ~/.config/last30days/.env
```
+588 -111
View File
@@ -1,16 +1,69 @@
---
name: last30days
description: Research a topic from the last 30 days on Reddit + X + Web, become an expert, and write copy-paste-ready prompts for the user's target tool.
argument-hint: "[topic] for [tool]" or "[topic]"
context: fork
agent: Explore
disable-model-invocation: true
version: "2.9.5"
description: "Deep research engine covering the last 30 days across 10+ sources - Reddit, X/Twitter, YouTube, TikTok, Instagram, Hacker News, Polymarket, Bluesky, Truth Social, web. AI synthesizes findings into grounded, cited reports. The most comprehensive recency research skill on ClawHub."
argument-hint: 'last30 AI video tools, last30 best project management tools'
allowed-tools: Bash, Read, Write, AskUserQuestion, WebSearch
homepage: https://github.com/mvanhorn/last30days-skill
repository: https://github.com/mvanhorn/last30days-skill
author: mvanhorn
license: MIT
user-invocable: true
metadata:
openclaw:
emoji: "📰"
requires:
env:
- SCRAPECREATORS_API_KEY
optionalEnv:
- OPENAI_API_KEY
- XAI_API_KEY
- OPENROUTER_API_KEY
- PARALLEL_API_KEY
- BRAVE_API_KEY
- APIFY_API_TOKEN
- AUTH_TOKEN
- CT0
- BSKY_HANDLE
- BSKY_APP_PASSWORD
- TRUTHSOCIAL_TOKEN
bins:
- node
- python3
primaryEnv: SCRAPECREATORS_API_KEY
files:
- "scripts/*"
homepage: https://github.com/mvanhorn/last30days-skill
tags:
- research
- deep-research
- reddit
- x
- twitter
- youtube
- tiktok
- instagram
- hackernews
- polymarket
- bluesky
- truthsocial
- trends
- recency
- news
- citations
- multi-source
- social-media
- analysis
- web-search
- ai-skill
- clawhub
---
# last30days: Become Expert → Write Prompts
# last30days v2.9.5: Research Any Topic from the Last 30 Days
Research a topic across Reddit and X, internalize the best practices, then write **copy-paste-ready prompts** the user can immediately use with their target tool.
> **Permissions overview:** Reads public web/platform data and optionally saves research briefings to `~/Documents/Last30Days/`. X/Twitter search uses optional user-provided tokens (AUTH_TOKEN/CT0 env vars). Bluesky search uses optional app password (BSKY_HANDLE/BSKY_APP_PASSWORD env vars - create at bsky.app/settings/app-passwords). Truth Social search uses optional bearer token (TRUTHSOCIAL_TOKEN env var - extract from browser dev tools). All credential usage and data writes are documented in the [Security & Permissions](#security--permissions) section.
Research ANY topic across Reddit, X, Bluesky, Truth Social, YouTube, TikTok, Hacker News, Polymarket, and the web. Surface what people are actually discussing, recommending, betting on, and debating right now.
## CRITICAL: Parse User Intent
@@ -18,95 +71,267 @@ Before doing anything, parse the user's input for:
1. **TOPIC**: What they want to learn about (e.g., "web app mockups", "Claude Code skills", "image generation")
2. **TARGET TOOL** (if specified): Where they'll use the prompts (e.g., "Nano Banana Pro", "ChatGPT", "Midjourney")
3. **QUERY TYPE**: What kind of research they want:
- **PROMPTING** - "X prompts", "prompting for X", "X best practices" → User wants to learn techniques and get copy-paste prompts
- **RECOMMENDATIONS** - "best X", "top X", "what X should I use", "recommended X" → User wants a LIST of specific things
- **NEWS** - "what's happening with X", "X news", "latest on X" → User wants current events/updates
- **COMPARISON** - "X vs Y", "X versus Y", "compare X and Y", "X or Y which is better" → User wants a side-by-side comparison
- **GENERAL** - anything else → User wants broad understanding of the topic
Common patterns:
- `[topic] for [tool]` → "web mockups for Nano Banana Pro" → TOOL IS SPECIFIED
- `[topic] prompts for [tool]` → "UI design prompts for Midjourney" → TOOL IS SPECIFIED
- Just `[topic]` → "iOS design mockups" → TOOL NOT SPECIFIED, that's OK
- "best [topic]" or "top [topic]" → QUERY_TYPE = RECOMMENDATIONS
- "what are the best [topic]" → QUERY_TYPE = RECOMMENDATIONS
- "X vs Y" or "X versus Y" → QUERY_TYPE = COMPARISON, TOPIC_A = X, TOPIC_B = Y (split on ` vs ` or ` versus ` with spaces)
**IMPORTANT: Do NOT ask about target tool before research.**
- If tool is specified in the query, use it
- If tool is NOT specified, run research first, then ask AFTER showing results
**Store the TOPIC** - you'll extract or ask about TARGET_TOOL later:
**Store these variables:**
- `TOPIC = [extracted topic]`
- `TARGET_TOOL = [extracted tool, or "unknown" if not specified]`
- `QUERY_TYPE = [RECOMMENDATIONS | NEWS | HOW-TO | COMPARISON | GENERAL]`
- `TOPIC_A = [first item]` (only if COMPARISON)
- `TOPIC_B = [second item]` (only if COMPARISON)
**DISPLAY your parsing to the user.** Before running any tools, output:
```
I'll research {TOPIC} across Reddit, X, Bluesky, Truth Social, TikTok, and the web to find what's been discussed in the last 30 days.
Parsed intent:
- TOPIC = {TOPIC}
- TARGET_TOOL = {TARGET_TOOL or "unknown"}
- QUERY_TYPE = {QUERY_TYPE}
Research typically takes 2-8 minutes (niche topics take longer). Starting now.
```
If TARGET_TOOL is known, mention it in the intro: "...to find {QUERY_TYPE}-style content for use in {TARGET_TOOL}."
This text MUST appear before you call any tools. It confirms to the user that you understood their request.
---
## Setup Check
## Step 0.5: Resolve X Handle (if topic could have an X account)
Verify API key configuration exists:
If TOPIC looks like it could have its own X/Twitter account - **people, creators, brands, products, tools, companies, communities** (e.g., "Dor Brothers", "Jason Calacanis", "Nano Banana Pro", "Seedance", "Midjourney"), do ONE quick WebSearch:
```bash
if [ ! -f ~/.config/last30days/.env ]; then
echo "SETUP_NEEDED"
else
echo "CONFIGURED"
fi
```
WebSearch("{TOPIC} X twitter handle site:x.com")
```
### If SETUP_NEEDED
From the results, extract their X/Twitter handle. Look for:
- **Verified profile URLs** like `x.com/{handle}` or `twitter.com/{handle}`
- Mentions like "@handle" in bios, articles, or social profiles
- "Follow @handle on X" patterns
Run NUX flow to configure API keys. Use AskUserQuestion to collect:
**Verify the account is real, not a parody/fan account.** Check for:
- Verified/blue checkmark in the search results
- Official website linking to the X account
- Consistent naming (e.g., @thedorbrothers for "The Dor Brothers", not @DorBrosFan)
- If results only show fan/parody/news accounts (not the entity's own account), skip - the entity may not have an X presence
1. **OpenAI API Key** (optional but recommended for Reddit research)
2. **xAI API Key** (optional but recommended for X research)
If you find a clear, verified handle, pass it as `--x-handle={handle}` (without @). This searches that account's posts directly - finding content they posted that doesn't mention their own name.
Then create the config:
**Skip this step if:**
- TOPIC is clearly a generic concept, not an entity (e.g., "best rap songs 2026", "how to use Docker", "AI ethics debate")
- TOPIC already contains @ (user provided the handle directly)
- Using `--quick` depth
- WebSearch shows no official X account exists for this entity
```bash
mkdir -p ~/.config/last30days
cat > ~/.config/last30days/.env << 'ENVEOF'
# last30days API Configuration
# At least one key is required
Store: `RESOLVED_HANDLE = {handle or empty}`
OPENAI_API_KEY=
XAI_API_KEY=
ENVEOF
---
chmod 600 ~/.config/last30days/.env
echo "Config created at ~/.config/last30days/.env"
echo "Please edit it to add your API keys, then run the skill again."
## Agent Mode (--agent flag)
If `--agent` appears in ARGUMENTS (e.g., `/last30days plaud granola --agent`):
1. **Skip** the intro display block ("I'll research X across Reddit...")
2. **Skip** any `AskUserQuestion` calls - use `TARGET_TOOL = "unknown"` if not specified
3. **Run** the research script and WebSearch exactly as normal
4. **Skip** the "WAIT FOR USER RESPONSE" pause
5. **Skip** the follow-up invitation ("I'm now an expert on X...")
6. **Output** the complete research report and stop - do not wait for further input
Agent mode saves raw research data to `~/Documents/Last30Days/` automatically via `--save-dir` (handled by the script, no extra tool calls).
Agent mode report format:
```
## Research Report: {TOPIC}
Generated: {date} | Sources: Reddit, X, Bluesky, Truth Social, YouTube, TikTok, HN, Polymarket, Web
### Key Findings
[3-5 bullet points, highest-signal insights with citations]
### What I learned
{The full "What I learned" synthesis from normal output}
### Stats
{The standard stats block}
```
**STOP HERE if setup was needed.**
---
## If QUERY_TYPE = COMPARISON
When the user asks "X vs Y", run THREE research passes in parallel:
**Pass 1 + 2 (parallel Bash calls):**
```bash
# Run BOTH of these as parallel Bash tool calls in a single message:
python3 "${SKILL_ROOT}/scripts/last30days.py" {TOPIC_A} --emit=compact --no-native-web --save-dir=~/Documents/Last30Days
python3 "${SKILL_ROOT}/scripts/last30days.py" {TOPIC_B} --emit=compact --no-native-web --save-dir=~/Documents/Last30Days
```
**Pass 3 (after passes 1+2 complete):**
```bash
python3 "${SKILL_ROOT}/scripts/last30days.py" "{TOPIC_A} vs {TOPIC_B}" --emit=compact --no-native-web --save-dir=~/Documents/Last30Days
```
Then do WebSearch for: `{TOPIC_A} vs {TOPIC_B} comparison 2026` and `{TOPIC_A} vs {TOPIC_B} which is better`.
**Skip the normal Step 1 below** - go directly to the comparison synthesis format (see "If QUERY_TYPE = COMPARISON" in the synthesis section).
---
## Research Execution
Run the research orchestrator with the TOPIC.
**Step 1: Run the research script (FOREGROUND — do NOT background this)**
**Depth options** (passed through from user's command):
**CRITICAL: Run this command in the FOREGROUND with a 5-minute timeout. Do NOT use run_in_background. The full output contains Reddit, X, AND YouTube data that you need to read completely.**
**IMPORTANT: The script handles API key/Codex auth detection automatically.** Run it and check the output to determine mode.
```bash
# Find skill root — works in repo checkout, Claude Code, or Codex install
for dir in \
"." \
"${CLAUDE_PLUGIN_ROOT:-}" \
"${GEMINI_EXTENSION_DIR:-}" \
"$HOME/.claude/plugins/marketplaces/last30days-skill" \
"$HOME/.gemini/extensions/last30days-skill" \
"$HOME/.gemini/extensions/last30days" \
"$HOME/.claude/skills/last30days" \
"$HOME/.agents/skills/last30days" \
"$HOME/.codex/skills/last30days"; do
[ -n "$dir" ] && [ -f "$dir/scripts/last30days.py" ] && SKILL_ROOT="$dir" && break
done
if [ -z "${SKILL_ROOT:-}" ]; then
echo "ERROR: Could not find scripts/last30days.py" >&2
exit 1
fi
python3 "${SKILL_ROOT}/scripts/last30days.py" $ARGUMENTS --emit=compact --no-native-web --save-dir=~/Documents/Last30Days # Add --x-handle=HANDLE if RESOLVED_HANDLE is set
```
Use a **timeout of 300000** (5 minutes) on the Bash call. The script typically takes 1-3 minutes.
The script will automatically:
- Detect available API keys
- Run Reddit/X/YouTube/TikTok/Instagram/Hacker News/Polymarket searches
- Output ALL results including YouTube transcripts, TikTok captions, Instagram captions, HN comments, and prediction market odds
**Read the ENTIRE output.** It contains EIGHT data sections in this order: Reddit items, X items, YouTube items, TikTok items, Instagram Reels items, Hacker News items, Polymarket items, and WebSearch items. If you miss sections, you will produce incomplete stats.
**YouTube items in the output look like:** `**{video_id}** (score:N) {channel_name} [N views, N likes]` followed by a title, URL, and optional transcript snippet. Count them and include them in your synthesis and stats block.
**TikTok items in the output look like:** `**{TK_id}** (score:N) @{creator} [N views, N likes]` followed by a caption, URL, hashtags, and optional caption snippet. Count them and include them in your synthesis and stats block.
**Instagram Reels items in the output look like:** `**{IG_id}** (score:N) @{creator} (date) [N views, N likes]` followed by caption text, URL, and optional transcript. Count them and include them in your synthesis and stats block. Instagram provides unique creator/influencer perspective — weight it alongside TikTok.
---
## STEP 2: DO WEBSEARCH AFTER SCRIPT COMPLETES
After the script finishes, do WebSearch to supplement with blogs, tutorials, and news.
For **ALL modes**, do WebSearch to supplement (or provide all data in web-only mode).
Choose search queries based on QUERY_TYPE:
**If RECOMMENDATIONS** ("best X", "top X", "what X should I use"):
- Search for: `best {TOPIC} recommendations`
- Search for: `{TOPIC} list examples`
- Search for: `most popular {TOPIC}`
- Goal: Find SPECIFIC NAMES of things, not generic advice
**If NEWS** ("what's happening with X", "X news"):
- Search for: `{TOPIC} news 2026`
- Search for: `{TOPIC} announcement update`
- Goal: Find current events and recent developments
**If PROMPTING** ("X prompts", "prompting for X"):
- Search for: `{TOPIC} prompts examples 2026`
- Search for: `{TOPIC} techniques tips`
- Goal: Find prompting techniques and examples to create copy-paste prompts
**If GENERAL** (default):
- Search for: `{TOPIC} 2026`
- Search for: `{TOPIC} discussion`
- Goal: Find what people are actually saying
For ALL query types:
- **USE THE USER'S EXACT TERMINOLOGY** - don't substitute or add tech names based on your knowledge
- EXCLUDE reddit.com, x.com, twitter.com (covered by script)
- INCLUDE: blogs, tutorials, docs, news, GitHub repos
- **DO NOT output a separate "Sources:" block** — instead, include the top 3-5 web
source names as inline links on the 🌐 Web: stats line (see stats format below).
The WebSearch tool requires citation; satisfy it there, not as a trailing section.
**Options** (passed through from user's command):
- `--days=N` → Look back N days instead of 30 (e.g., `--days=7` for weekly roundup)
- `--quick` → Faster, fewer sources (8-12 each)
- (default) → Balanced (20-30 each)
- `--deep` → Comprehensive (50-70 Reddit, 40-60 X)
```bash
python3 ~/.claude/skills/last30days/scripts/last30days.py "$ARGUMENTS" --include-web --emit=compact 2>&1
```
---
## WebSearch Execution
## Judge Agent: Synthesize All Sources
**CRITICAL**: After the Python script completes, if you see `### WEBSEARCH REQUIRED ###` in the output, you MUST use your WebSearch tool to find additional sources.
**After all searches complete, internally synthesize (don't display stats yet):**
**WebSearch query**: Use the TOPIC to search for recent content (last 30 days).
The Judge Agent must:
1. Weight Reddit/X sources HIGHER (they have engagement signals: upvotes, likes)
2. Weight YouTube sources HIGH (they have views, likes, and transcript content)
3. Weight TikTok sources HIGH (they have views, likes, and caption content — viral signal)
4. Weight WebSearch sources LOWER (no engagement data)
5. **For Reddit: Pay special attention to top comments** — they often contain the wittiest, most insightful, or funniest take. When a top comment has high upvotes (shown as `💬 Top comment (N upvotes)`), quote it directly in your synthesis. Reddit's value is in the comments.
6. Identify patterns that appear across ALL sources (strongest signals)
7. Note any contradictions between sources
8. Extract the top 3-5 actionable insights
**What to search for**:
- Blog posts, tutorials, documentation about {TOPIC}
- News articles, announcements
- Technical guides, best practices
7. **Cross-platform signals are the strongest evidence.** When items have `[also on: Reddit, HN]` or similar tags, it means the same story appears across multiple platforms. Lead with these cross-platform findings - they're the most important signals in the research.
**What to EXCLUDE** (already covered by Reddit/X):
- reddit.com URLs
- x.com or twitter.com URLs
### Prediction Markets (Polymarket)
**How many**: Find 8-15 high-quality, relevant web pages.
**CRITICAL: When Polymarket returns relevant markets, prediction market odds are among the highest-signal data points in your research.** Real money on outcomes cuts through opinion. Treat them as strong evidence, not an afterthought.
**After searching**: Include the WebSearch results in your synthesis. WebSearch results supplement Reddit/X but should be weighted LOWER (they lack engagement metrics like upvotes/likes that indicate community validation).
**How to interpret and synthesize Polymarket data:**
1. **Prefer structural/long-term markets over near-term deadlines.** Championship odds > regular season title. Regime change > near-term strike deadline. IPO/major milestone > incremental update. Presidency > individual state primary. When multiple markets exist, the bigger question is more interesting to the user.
2. **When the topic is an outcome in a multi-outcome market, call out that specific outcome's odds and movement.** Don't just say "Polymarket has a #1 seed market" - say "Arizona has a 28% chance of being the #1 overall seed, up 10% this month." The user cares about THEIR topic's position in the market.
3. **Weave odds into the narrative as supporting evidence.** Don't isolate Polymarket data in its own paragraph. Instead: "Final Four buzz is building - Polymarket gives Arizona a 12% chance to win the championship (up 3% this week), and 28% to earn a #1 seed."
4. **Citation format:** Always include specific odds AND movement. "Polymarket has Arizona at 28% for a #1 seed (up 10% this month)" - not just "per Polymarket."
5. **When multiple relevant markets exist, highlight 3-5 of the most interesting ones** in your synthesis, ordered by importance (structural > near-term). Don't just pick the highest-volume one.
**Domain examples of market importance ranking:**
- **Sports:** Championship/tournament odds > conference title > regular season > weekly matchup
- **Geopolitics:** Regime change/structural outcomes > near-term strike deadlines > sanctions
- **Tech/Business:** IPO, major product launch, company milestones > incremental updates
- **Elections:** Presidency > primary > individual state
**Do NOT display stats here - they come at the end, right before the invitation.**
---
@@ -121,93 +346,312 @@ Read the research output carefully. Pay attention to:
**ANTI-PATTERN TO AVOID**: If user asks about "clawdbot skills" and research returns ClawdBot content (self-hosted AI agent), do NOT synthesize this as "Claude Code skills" just because both involve "skills". Read what the research actually says.
### If QUERY_TYPE = RECOMMENDATIONS
**CRITICAL: Extract SPECIFIC NAMES, not generic patterns.**
When user asks "best X" or "top X", they want a LIST of specific things:
- Scan research for specific product names, tool names, project names, skill names, etc.
- Count how many times each is mentioned
- Note which sources recommend each (Reddit thread, X post, blog)
- List them by popularity/mention count
**BAD synthesis for "best Claude Code skills":**
> "Skills are powerful. Keep them under 500 lines. Use progressive disclosure."
**GOOD synthesis for "best Claude Code skills":**
> "Most mentioned skills: /commit (5 mentions), remotion skill (4x), git-worktree (3x), /pr (3x). The Remotion announcement got 16K likes on X."
### If QUERY_TYPE = COMPARISON
Structure the output as a side-by-side comparison using data from all three research passes:
```
# {TOPIC_A} vs {TOPIC_B}: What the Community Says (Last 30 Days)
## Quick Verdict
[1-2 sentence data-driven summary: which one the community prefers and why, with source counts]
## {TOPIC_A}
**Community Sentiment:** [Positive/Mixed/Negative] ({N} mentions across {sources})
**Strengths (what people love)**
- [Point 1 with source attribution]
- [Point 2]
**Weaknesses (common complaints)**
- [Point 1 with source attribution]
- [Point 2]
## {TOPIC_B}
**Community Sentiment:** [Positive/Mixed/Negative] ({N} mentions across {sources})
**Strengths (what people love)**
- [Point 1 with source attribution]
- [Point 2]
**Weaknesses (common complaints)**
- [Point 1 with source attribution]
- [Point 2]
## Head-to-Head
[Synthesis from the "A vs B" combined search - what people say when directly comparing]
| Dimension | {TOPIC_A} | {TOPIC_B} |
|-----------|-----------|-----------|
| [Key dimension 1] | [A's position] | [B's position] |
| [Key dimension 2] | [A's position] | [B's position] |
| [Key dimension 3] | [A's position] | [B's position] |
## The Bottom Line
Choose {TOPIC_A} if... Choose {TOPIC_B} if... (based on actual community data, not assumptions)
```
Then show combined stats from all three passes and the standard invitation section.
### For all QUERY_TYPEs
Identify from the ACTUAL RESEARCH OUTPUT:
- **PROMPT FORMAT** - Does research recommend JSON, structured params, natural language, keywords? THIS IS CRITICAL.
- **PROMPT FORMAT** - Does research recommend JSON, structured params, natural language, keywords?
- The top 3-5 patterns/techniques that appeared across multiple sources
- Specific keywords, structures, or approaches mentioned BY THE SOURCES
- Common pitfalls mentioned BY THE SOURCES
**If research says "use JSON prompts" or "structured prompts", you MUST deliver prompts in that format later.**
---
## THEN: Show Summary + Invite Vision
**CRITICAL ORDER**: Display sections in this EXACT sequence:
**Display in this EXACT sequence:**
**FIRST - What I learned (based on QUERY_TYPE):**
**If RECOMMENDATIONS** - Show specific things mentioned with sources:
```
🏆 Most mentioned:
[Tool Name] - {n}x mentions
Use Case: [what it does]
Sources: @handle1, @handle2, r/sub, blog.com
[Tool Name] - {n}x mentions
Use Case: [what it does]
Sources: @handle3, r/sub2, Complex
Notable mentions: [other specific things with 1-2 mentions]
```
**CRITICAL for RECOMMENDATIONS:**
- Each item MUST have a "Sources:" line with actual @handles from X posts (e.g., @LONGLIVE47, @ByDobson)
- Include subreddit names (r/hiphopheads) and web sources (Complex, Variety)
- Parse @handles from research output and include the highest-engagement ones
- Format naturally - tables work well for wide terminals, stacked cards for narrow
**If PROMPTING/NEWS/GENERAL** - Show synthesis and patterns:
CITATION RULE: Cite sources sparingly to prove research is real.
- In the "What I learned" intro: cite 1-2 top sources total, not every sentence
- In KEY PATTERNS: cite 1 source per pattern, short format: "per @handle" or "per r/sub"
- Do NOT include engagement metrics in citations (likes, upvotes) - save those for stats box
- Do NOT chain multiple citations: "per @x, @y, @z" is too much. Pick the strongest one.
CITATION PRIORITY (most to least preferred):
1. @handles from X — "per @handle" (these prove the tool's unique value)
2. r/subreddits from Reddit — "per r/subreddit" (when citing Reddit, prefer quoting top comments over just the thread title)
3. YouTube channels — "per [channel name] on YouTube" (transcript-backed insights)
4. TikTok creators — "per @creator on TikTok" (viral/trending signal)
5. Instagram creators — "per @creator on Instagram" (influencer/creator signal)
6. HN discussions — "per HN" or "per hn/username" (developer community signal)
7. Polymarket — "Polymarket has X at Y% (up/down Z%)" with specific odds and movement
8. Web sources — ONLY when Reddit/X/YouTube/TikTok/Instagram/HN/Polymarket don't cover that specific fact
The tool's value is surfacing what PEOPLE are saying, not what journalists wrote.
When both a web article and an X post cover the same fact, cite the X post.
URL FORMATTING: NEVER paste raw URLs anywhere in the output — not in synthesis, not in stats, not in sources.
- **BAD:** "per https://www.rollingstone.com/music/music-news/kanye-west-bully-1235506094/"
- **GOOD:** "per Rolling Stone"
- **BAD stats line:** `🌐 Web: 10 pages — https://later.com/blog/..., https://buffer.com/...`
- **GOOD stats line:** `🌐 Web: 10 pages — Later, Buffer, CNN, SocialBee`
Use the publication/site name, not the URL. The user doesn't need links — they need clean, readable text.
**BAD:** "His album is set for March 20 (per Rolling Stone; Billboard; Complex)."
**GOOD:** "His album BULLY drops March 20 — fans on X are split on the tracklist, per @honest30bgfan_"
**GOOD:** "Ye's apology got massive traction on r/hiphopheads"
**OK** (web, only when Reddit/X don't have it): "The Hellwatt Festival runs July 4-18 at RCF Arena, per Billboard"
**Lead with people, not publications.** Start each topic with what Reddit/X
users are saying/feeling, then add web context only if needed. The user came
here for the conversation, not the press release.
```
---
What I learned:
[2-4 sentences synthesizing key insights FROM THE ACTUAL RESEARCH OUTPUT. Quote or paraphrase what the sources said. If sources mention a specific product (ClawdBot, Cursor, etc.), use that name - don't substitute your own knowledge. The synthesis should be traceable back to the research results above.]
**{Topic 1}** — [1-2 sentences about what people are saying, per @handle or r/sub]
---
TARGET TOOL: {tool from research or user input}
**{Topic 2}** — [1-2 sentences, per @handle or r/sub]
PROMPT FORMAT: [JSON / structured / natural language / keywords - whatever research recommends]
**{Topic 3}** — [1-2 sentences, per @handle or r/sub]
KEY PATTERNS I'll use:
1. [Pattern from research]
2. [Pattern from research]
3. [Pattern from research]
4. [Pattern from research]
5. [Pattern from research]
---
📊 Research Complete
Analyzed {total_sources} sources from the last 30 days
├─ Reddit: {n} threads │ {sum} upvotes │ {sum} comments
├─ X: {n} posts │ {sum} likes │ {sum} reposts
├─ Web: {n} pages │ {domains}
└─ Top voices: r/{sub1}, r/{sub2}, @{handle1}, @{handle2}
---
Share your vision for what you want to create and I'll write a thoughtful prompt you can copy-paste directly into {TARGET_TOOL}.
KEY PATTERNS from the research:
1. [Pattern] — per @handle
2. [Pattern] — per r/sub
3. [Pattern] — per @handle
```
**Use real numbers from the research output.** The patterns should be actual insights from the research, not generic advice.
**THEN - Stats (right before invitation):**
**SELF-CHECK before displaying**: Re-read your "What I learned" section. Does it match what the research ACTUALLY says? If the research was about ClawdBot (a self-hosted AI agent), your summary should be about ClawdBot, not Claude Code. If you catch yourself projecting your own knowledge instead of the research, rewrite it.
**CRITICAL: Calculate actual totals from the research output.**
- Count posts/threads from each section
- Sum engagement: parse `[Xlikes, Yrt]` from each X post, `[Xpts, Ycmt]` from Reddit
- Identify top voices: highest-engagement @handles from X, most active subreddits
**Copy this EXACTLY, replacing only the {placeholders}:**
**IF TARGET_TOOL is still unknown after showing results**, ask NOW (not before research):
```
What tool will you use these prompts with?
Options:
1. [Most relevant tool based on research - e.g., if research mentioned Figma/Sketch, offer those]
2. Nano Banana Pro (image generation)
3. ChatGPT / Claude (text/code)
4. Other (tell me)
---
✅ All agents reported back!
├─ 🟠 Reddit: {N} threads │ {N} upvotes │ {N} comments
├─ 🔵 X: {N} posts │ {N} likes │ {N} reposts
├─ 🔴 YouTube: {N} videos │ {N} views │ {N} with transcripts
├─ 🎵 TikTok: {N} videos │ {N} views │ {N} likes │ {N} with captions
├─ 📸 Instagram: {N} reels │ {N} views │ {N} likes │ {N} with captions
├─ 🟡 HN: {N} stories │ {N} points │ {N} comments
├─ 🦋 Bluesky: {N} posts │ {N} likes │ {N} reposts
├─ 🇺🇸 Truth Social: {N} posts │ {N} likes │ {N} reposts
├─ 📊 Polymarket: {N} markets │ {short summary of up to 5 most relevant market odds, e.g. "Championship: 12%, #1 Seed: 28%, Big 12: 64%, vs Kansas: 71%"}
├─ 🌐 Web: {N} pages — Source Name, Source Name, Source Name
└─ 🗣️ Top voices: @{handle1} ({N} likes), @{handle2} │ r/{sub1}, r/{sub2}
---
```
**IMPORTANT**: After displaying this, WAIT for the user to respond. Don't dump generic prompts.
**🌐 Web: line — how to extract site names from URLs:**
Strip the protocol, path, and `www.` — use the recognizable publication name:
- `https://later.com/blog/instagram-reels-trends/`**Later**
- `https://socialbee.com/blog/instagram-trends/`**SocialBee**
- `https://buffer.com/resources/instagram-algorithms/`**Buffer**
- `https://www.cnn.com/2026/02/22/tech/...`**CNN**
- `https://medium.com/the-ai-studio/...`**Medium**
- `https://radicaldatascience.wordpress.com/...`**Radical Data Science**
List as comma-separated plain names: `Later, SocialBee, Buffer, CNN, Medium`
**⚠️ WebSearch citation — ALREADY SATISFIED. DO NOT ADD A SOURCES SECTION.**
The WebSearch tool mandates source citation. That requirement is FULLY satisfied by the source names on the 🌐 Web: line above. Do NOT append a separate "Sources:" section at the end of your response. Do NOT list URLs anywhere. The 🌐 Web: line IS your citation. Nothing more is needed.
**CRITICAL: Omit any source line that returned 0 results.** Do NOT show "0 threads", "0 stories", "0 markets", or "(no results this cycle)". If a source found nothing, DELETE that line entirely - don't include it at all.
NEVER use plain text dashes (-) or pipe (|). ALWAYS use ├─ └─ │ and the emoji.
**SELF-CHECK before displaying**: Re-read your "What I learned" section. Does it match what the research ACTUALLY says? If you catch yourself projecting your own knowledge instead of the research, rewrite it.
**LAST - Invitation (adapt to QUERY_TYPE):**
**CRITICAL: Every invitation MUST include 2-3 specific example suggestions based on what you ACTUALLY learned from the research.** Don't be generic — show the user you absorbed the content by referencing real things from the results.
**If QUERY_TYPE = PROMPTING:**
```
---
I'm now an expert on {TOPIC} for {TARGET_TOOL}. What do you want to make? For example:
- [specific idea based on popular technique from research]
- [specific idea based on trending style/approach from research]
- [specific idea riffing on what people are actually creating]
Just describe your vision and I'll write a prompt you can paste straight into {TARGET_TOOL}.
```
**If QUERY_TYPE = RECOMMENDATIONS:**
```
---
I'm now an expert on {TOPIC}. Want me to go deeper? For example:
- [Compare specific item A vs item B from the results]
- [Explain why item C is trending right now]
- [Help you get started with item D]
```
**If QUERY_TYPE = NEWS:**
```
---
I'm now an expert on {TOPIC}. Some things you could ask:
- [Specific follow-up question about the biggest story]
- [Question about implications of a key development]
- [Question about what might happen next based on current trajectory]
```
**If QUERY_TYPE = COMPARISON:**
```
---
I've compared {TOPIC_A} vs {TOPIC_B} using the latest community data. Some things you could ask:
- [Deep dive into {TOPIC_A} alone with /last30days {TOPIC_A}]
- [Deep dive into {TOPIC_B} alone with /last30days {TOPIC_B}]
- [Focus on a specific dimension from the comparison table]
- [Look at a different time period with --days=7 or --days=90]
```
**If QUERY_TYPE = GENERAL:**
```
---
I'm now an expert on {TOPIC}. Some things I can help with:
- [Specific question based on the most discussed aspect]
- [Specific creative/practical application of what you learned]
- [Deeper dive into a pattern or debate from the research]
```
**Example invitations (to show the quality bar):**
For `/last30days nano banana pro prompts for Gemini`:
> I'm now an expert on Nano Banana Pro for Gemini. What do you want to make? For example:
> - Photorealistic product shots with natural lighting (the most requested style right now)
> - Logo designs with embedded text (Gemini's new strength per the research)
> - Multi-reference style transfer from a mood board
>
> Just describe your vision and I'll write a prompt you can paste straight into Gemini.
For `/last30days kanye west` (GENERAL):
> I'm now an expert on Kanye West. Some things I can help with:
> - What's the real story behind the apology letter — genuine or PR move?
> - Break down the BULLY tracklist reactions and what fans are expecting
> - Compare how Reddit vs X are reacting to the Bianca narrative
For `/last30days war in Iran` (NEWS):
> I'm now an expert on the Iran situation. Some things you could ask:
> - What are the realistic escalation scenarios from here?
> - How is this playing differently in US vs international media?
> - What's the economic impact on oil markets so far?
---
## WAIT FOR USER'S VISION
## WAIT FOR USER'S RESPONSE
After showing the stats summary with your invitation, **STOP and wait** for the user to tell you what they want to create.
When they respond with their vision (e.g., "I want a landing page mockup for my SaaS app"), THEN write a single, thoughtful, tailored prompt.
**STOP and wait** for the user to respond. Do NOT call any tools after displaying the invitation. The research script already saved raw data to `~/Documents/Last30Days/` via `--save-dir`.
---
## WHEN USER SHARES THEIR VISION: Write ONE Perfect Prompt
## WHEN USER RESPONDS
Based on what they want to create, write a **single, highly-tailored prompt** using your research expertise.
**Read their response and match the intent:**
- If they ask a **QUESTION** about the topic → Answer from your research (no new searches, no prompt)
- If they ask to **GO DEEPER** on a subtopic → Elaborate using your research findings
- If they describe something they want to **CREATE** → Write ONE perfect prompt (see below)
- If they ask for a **PROMPT** explicitly → Write ONE perfect prompt (see below)
**Only write a prompt when the user wants one.** Don't force a prompt on someone who asked "what could happen next with Iran."
### Writing a Prompt
When the user wants a prompt, write a **single, highly-tailored prompt** using your research expertise.
### CRITICAL: Match the FORMAT the research recommends
**If research says to use a specific prompt FORMAT, YOU MUST USE THAT FORMAT:**
- Research says "JSON prompts" → Write the prompt AS JSON
- Research says "structured parameters" → Use structured key: value format
- Research says "natural language" → Use conversational prose
- Research says "keyword lists" → Use comma-separated keywords
**If research says to use a specific prompt FORMAT, YOU MUST USE THAT FORMAT.**
**ANTI-PATTERN**: Research says "use JSON prompts with device specs" but you write plain prose. This defeats the entire purpose of the research.
### Quality Checklist (run before delivering):
- [ ] **FORMAT MATCHES RESEARCH** - If research said JSON/structured/etc, prompt IS that format
- [ ] Directly addresses what the user said they want to create
- [ ] Uses specific patterns/keywords discovered in research
- [ ] Ready to paste with zero edits (or minimal [PLACEHOLDERS] clearly marked)
- [ ] Appropriate length and style for TARGET_TOOL
### Output Format:
```
@@ -215,20 +659,13 @@ Here's your prompt for {TARGET_TOOL}:
---
[The actual prompt IN THE FORMAT THE RESEARCH RECOMMENDS - if research said JSON, this is JSON. If research said natural language, this is prose. Match what works.]
[The actual prompt IN THE FORMAT THE RESEARCH RECOMMENDS]
---
This uses [brief 1-line explanation of what research insight you applied].
```
### Quality Checklist:
- [ ] **FORMAT MATCHES RESEARCH** - If research said JSON/structured/etc, prompt IS that format
- [ ] Directly addresses what the user said they want to create
- [ ] Uses specific patterns/keywords discovered in research
- [ ] Ready to paste with zero edits (or minimal [PLACEHOLDERS] clearly marked)
- [ ] Appropriate length and style for TARGET_TOOL
---
## IF USER ASKS FOR MORE OPTIONS
@@ -251,8 +688,17 @@ For the rest of this conversation, remember:
- **TOPIC**: {topic}
- **TARGET_TOOL**: {tool}
- **KEY PATTERNS**: {list the top 3-5 patterns you learned}
- **RESEARCH FINDINGS**: The key facts and insights from the research
When the user asks for another prompt later, you don't need to re-research. Apply what you learned.
**CRITICAL: After research is complete, treat yourself as an EXPERT on this topic.**
When the user asks follow-up questions:
- **DO NOT run new WebSearches** - you already have the research
- **Answer from what you learned** - cite the Reddit threads, X posts, and web sources
- **If they ask a question** - answer it from your research findings
- **If they ask for a prompt** - write one using your expertise
Only do new research if the user explicitly asks about a DIFFERENT topic.
---
@@ -263,7 +709,38 @@ After delivering a prompt, end with:
```
---
📚 Expert in: {TOPIC} for {TARGET_TOOL}
📊 Based on: {n} Reddit threads ({sum} upvotes) + {n} X posts ({sum} likes) + {n} web pages
📊 Based on: {n} Reddit threads ({sum} upvotes) + {n} X posts ({sum} likes) + {n} YouTube videos ({sum} views) + {n} TikTok videos ({sum} views) + {n} Instagram reels ({sum} views) + {n} HN stories ({sum} points) + {n} web pages
Want another prompt? Just tell me what you're creating next.
```
---
## Security & Permissions
**What this skill does:**
- Sends search queries to ScrapeCreators API (`api.scrapecreators.com`) for Reddit search, subreddit discovery, and comment enrichment (requires SCRAPECREATORS_API_KEY — same key as TikTok + Instagram)
- Legacy: Sends search queries to OpenAI's Responses API (`api.openai.com`) for Reddit discovery (fallback if no SCRAPECREATORS_API_KEY)
- Sends search queries to Twitter's GraphQL API (via optional user-provided AUTH_TOKEN/CT0 env vars — no browser session access) or xAI's API (`api.x.ai`) for X search
- Sends search queries to Algolia HN Search API (`hn.algolia.com`) for Hacker News story and comment discovery (free, no auth)
- Sends search queries to Polymarket Gamma API (`gamma-api.polymarket.com`) for prediction market discovery (free, no auth)
- Runs `yt-dlp` locally for YouTube search and transcript extraction (no API key, public data)
- Sends search queries to ScrapeCreators API (`api.scrapecreators.com`) for TikTok and Instagram search, transcript/caption extraction (same SCRAPECREATORS_API_KEY as Reddit, PAYG after 100 free credits)
- Optionally sends search queries to Brave Search API, Parallel AI API, or OpenRouter API for web search
- Fetches public Reddit thread data from `reddit.com` for engagement metrics
- Stores research findings in local SQLite database (watchlist mode only)
- Saves research briefings as .md files to ~/Documents/Last30Days/
**What this skill does NOT do:**
- Does not post, like, or modify content on any platform
- Does not access your Reddit, X, or YouTube accounts
- Does not share API keys between providers (OpenAI key only goes to api.openai.com, etc.)
- Does not log, cache, or write API keys to output files
- Does not send data to any endpoint not listed above
- Hacker News and Polymarket sources are always available (no API key, no binary dependency)
- TikTok and Instagram sources require SCRAPECREATORS_API_KEY (same key covers both; 100 free credits, then PAYG)
- Can be invoked autonomously by agents via the Skill tool (runs inline, not forked); pass `--agent` for non-interactive report output
**Bundled scripts:** `scripts/last30days.py` (main research engine), `scripts/lib/` (search, enrichment, rendering modules), `scripts/lib/vendor/bird-search/` (vendored X search client, MIT licensed)
Review scripts before first use to verify behavior.
+4 -2
View File
@@ -2,7 +2,7 @@
## Overview
`last30days` is a Claude Code skill that researches a given topic across Reddit and X (Twitter) using the OpenAI Responses API and xAI Responses API respectively. It enforces a strict 30-day recency window, popularity-aware ranking, and produces actionable outputs including best practices, a prompt pack, and a reusable context snippet.
`last30days` is a Claude Code skill that researches a given topic across Reddit and X (Twitter) using the OpenAI Responses API and xAI Responses API respectively. It enforces a strict 30-day recency window, popularity-aware ranking, and produces actionable outputs including best practices, a prompt pack, and a reusable context snippet. OpenAI auth can come from `OPENAI_API_KEY` or Codex login credentials.
The skill operates in three modes depending on available API keys: **reddit-only** (OpenAI key), **x-only** (xAI key), or **both** (full cross-validation). It uses automatic model selection to stay current with the latest models from both providers, with optional pinning for stability.
@@ -10,7 +10,7 @@ The skill operates in three modes depending on available API keys: **reddit-only
The orchestrator (`last30days.py`) coordinates discovery, enrichment, normalization, scoring, deduplication, and rendering. Each concern is isolated in `scripts/lib/`:
- **env.py**: Load and validate API keys from `~/.config/last30days/.env`
- **env.py**: Load API keys from `~/.config/last30days/.env` and Codex auth from `~/.codex/auth.json`
- **dates.py**: Date range calculation and confidence scoring
- **cache.py**: 24-hour TTL caching keyed by topic + date range
- **http.py**: stdlib-only HTTP client with retry logic
@@ -18,6 +18,8 @@ The orchestrator (`last30days.py`) coordinates discovery, enrichment, normalizat
- **openai_reddit.py**: OpenAI Responses API + web_search for Reddit
- **xai_x.py**: xAI Responses API + x_search for X
- **reddit_enrich.py**: Fetch Reddit thread JSON for real engagement metrics
- **hackernews.py**: Hacker News search via Algolia API (free, no auth)
- **polymarket.py**: Polymarket prediction market search via Gamma API (free, no auth)
- **normalize.py**: Convert raw API responses to canonical schema
- **score.py**: Compute popularity-aware scores (relevance + recency + engagement)
- **dedupe.py**: Near-duplicate detection via text similarity
+8
View File
@@ -0,0 +1,8 @@
interface:
display_name: "Last 30 Days"
short_description: "Research any topic across Reddit, X, YouTube, and the web from the last 30 days. Returns synthesized expert answers and copy-paste prompts."
default_prompt: "Research this topic from the last 30 days across Reddit, X, YouTube, and web. Synthesize what people are actually saying, upvoting, and sharing right now."
brand_color: "#FF6B35"
policy:
allow_implicit_invocation: true
Binary file not shown.

After

Width:  |  Height:  |  Size: 2.7 MiB

Binary file not shown.

After

Width:  |  Height:  |  Size: 2.6 MiB

@@ -0,0 +1,162 @@
## Research Results: Claude Code skills and MCP servers
**Date Range:** 2026-01-26 to 2026-02-25
**Mode:** both
**OpenAI Model:** gpt-5.2
**xAI Model:** grok-4-1-fast
### Reddit Threads
**R2** (score:76) r/ClaudeCode (2026-02-22)
We 3x'd our team's Claude Code skill usage in 2 weeks — here's how
https://www.reddit.com/r/ClaudeCode/comments/1rbr5t7/we_3xd_our_teams_claude_code_skill_usage_in_2/
*Discussion of Claude Code skills adoption/usage, plus mentions syncing skills/hooks/MCP configs.*
**R4** (score:75) r/ClaudeCode (2026-02-23)
ClaudeInOne — a full framework for Claude Code, installed in one command
https://www.reddit.com/r/ClaudeCode/comments/1rcbria/claudeinone_a_full_framework_for_claude_code/
*Framework bundling many Claude Code skills/agents/commands; lots of skills-related discussion.*
**R1** (score:74) r/ClaudeCode (2026-02-18)
Self-improvement Loop: My favorite Claude Code Skill
https://www.reddit.com/r/ClaudeCode/comments/1r89084/selfimprovement_loop_my_favorite_claude_code_skill/
*Directly about a Claude Code Skill (custom skill, how it works, SKILL.md).*
**R3** (score:66) r/ClaudeCode (2026-02-10)
I built 12 SEO skills for Claude Code (open source)
https://www.reddit.com/r/ClaudeCode/comments/1r0l549/i_built_12_seo_skills_for_claude_code_open_source/
*Concrete example of building and sharing Claude Code skills.*
### X Posts
**X6** (score:86) @zeeg (2026-02-25) [4likes, 1rt]
@adamwathan Codex has been crushing it for me with implicit skill usage to the point I was shocked
Claude Code I resorted to explicit mentions and Ive been pleasantly surprised by how well Codex ha...
https://x.com/zeeg/status/2026745680195367091
**
**X4** (score:80) @ihtesham2005 (2026-02-25) [6likes]
🚨 Anthropic just open-sourced the exact Skills library their own engineers use internally.
Stop building Claude workflows from scratch.
These are plug-and-play components that work across Claude Cod...
https://x.com/ihtesham2005/status/2026752089473314975
**
**X9** (score:74) @DevTenta (2026-02-25) [4likes]
Day 7 building my first B2C app
Been setting everything up this week. Manually built 5 agents to help me in the early stages and set up the Claude Code skills i'll need for the build.
Also been test...
https://x.com/DevTenta/status/2026742028730527786
**
**X8** (score:64) @JorgeJaramillo (2026-02-25)
@Jompiras Claude code + skills. Muy breve....
https://x.com/JorgeJaramillo/status/2026743135435362649
**
**X5** (score:64) @arpan7sarkar (2026-02-25)
@tom_doerr 135 agents, 35 curated skills, 121 plugins and 6 MCP configs all in one Claude Code toolkit is absolutely insane value 🤯 this is the kind of community effort that makes an AI tool go from g...
https://x.com/arpan7sarkar/status/2026746479369662551
**
**X7** (score:64) @arpan7sarkar (2026-02-25)
@tom_doerr A curated collection of Claude Skills organized by category is exactly what power users have been waiting for 🤩 document skills, code tools, data analysis all in one repo. this is the Claud...
https://x.com/arpan7sarkar/status/2026745559986614335
**
**X2** (score:64) @yasuky (2026-02-25)
Claude CodeのSkillsを作成例から徹底理解する https://t.co/vZTseio2Ii...
https://x.com/yasuky/status/2026754773786226708
**
**X1** (score:64) @matgoldsborough (2026-02-25)
How: I told Claude Code "build me a CRM." Our builder skill generated schemas, skills, server, seed data. I pointed Claude Desktop at it. Contacts, lead scoring, pipeline reviews. All from conversatio...
https://x.com/matgoldsborough/status/2026755742737510749
**
**X10** (score:64) @0x_Kapoor (2026-02-25)
I can build another open claw, or claude bot, or even a messaging app in a nice prompt and although having engineering skills, I can push the code on the public repo and secure it even completely and ...
https://x.com/0x_Kapoor/status/2026738663321907214
**
**X11** (score:56) @ghumare64 (2026-02-25) [1likes]
1. I use https://t.co/NtFYJEiFs9 inspired by @bcherny
2. I use https://t.co/EwnmyWNFqn to sync skills and scan skills from the marketplace
3. I chat with claude code 4-5 times and once I am satisifed...
https://x.com/ghumare64/status/2026736176695246966
**
**X12** (score:56) @hamen (2026-02-25) [1likes]
The 'vibe coding' revolution is forcing a reckoning.
Developers with 15+ years experience are either embracing AI to expand their reach or watching their expertise become as valuable as COBOL skills....
https://x.com/hamen/status/2026734075243790396
**
### YouTube Videos
**X8afcX2s2Mo** (score:74) Grace Leung (2026-02-21) [47,474 views, 1,900 likes]
Claude Skills: Build Your First AI Marketing Team in 16 Minutes (Claude Code)
https://www.youtube.com/watch?v=X8afcX2s2Mo
Transcript: Every marketer I know is stretch themed. Too many channels, too many deliverables, never enough time, whether you're running a team or doing it all yourself. And that's why I'm so obsessed with clock ...
*YouTube video about claude code skills and mcp servers*
**0J2_YGuNrDo** (score:61) Grace Leung (2025-12-16) [155,806 views, 4,760 likes]
Claude Code just Built me an AI Agent Team (Claude Code + Skills + MCP)
https://www.youtube.com/watch?v=0J2_YGuNrDo
Transcript: I use clot more than any other AI but even I dismiss Clark as just for developers and I was wrong after using myself I am completely so and this is too powerful to ignore if you want to use AI to buil...
*YouTube video about claude code skills and mcp servers*
**vIUJ4Hd7be0** (score:59) Leon van Zyl (2026-02-09) [25,538 views, 699 likes]
Claude Code Skills - The Only Tutorial You Need
https://www.youtube.com/watch?v=vIUJ4Hd7be0
*YouTube video about claude code skills and mcp servers*
**Gqh_KdHP1Xk** (score:56) Robin Ebers (2025-08-21) [90,281 views, 2,719 likes]
8 MCP Servers That Make Claude Code 10x Better
https://www.youtube.com/watch?v=Gqh_KdHP1Xk
Transcript: Over 90% of all MCP servers are complete overhyped garbage. But some of them are not only worth it, they can be complete game changers. And I do not say this lightly. So after testing over 100 of them...
*YouTube video about claude code skills and mcp servers*
**901VMcZq8X4** (score:51) Sean Kochel (2025-10-21) [44,602 views, 1,356 likes]
These 5 Claude Code Skills Are Your New Unfair Advantage
https://www.youtube.com/watch?v=901VMcZq8X4
*YouTube video about claude code skills and mcp servers*
**l7qVtHpctic** (score:47) Kenny Liao (2026-01-17) [21,765 views, 728 likes]
Claude Code's MCP Problem Just Got Fixed
https://www.youtube.com/watch?v=l7qVtHpctic
*YouTube video about claude code skills and mcp servers*
**M5CsRj6zSCA** (score:41) Eric Tech (2025-12-12) [11,286 views, 266 likes]
5 MCP Servers That Make Claude Code 10x More Powerful (Full-Stack App Build)
https://www.youtube.com/watch?v=M5CsRj6zSCA
*YouTube video about claude code skills and mcp servers*
**qthyl0GCpDo** (score:35) Postman (2025-11-20) [7,045 views, 105 likes]
Claude Skills vs MCP: Whats the Difference and When to Use Each?
https://www.youtube.com/watch?v=qthyl0GCpDo
*YouTube video about claude code skills and mcp servers*
**ZroGqu7GyXM** (score:34) Solo Swift Crafter (2025-10-27) [4,880 views, 98 likes]
Claude Code Skills vs MCP vs Sub Agents: What Works for Solo Devs?
https://www.youtube.com/watch?v=ZroGqu7GyXM
*YouTube video about claude code skills and mcp servers*
**jzf7DQa2CAc** (score:31) Matt Kuda (2026-01-19) [2,547 views, 87 likes]
How I Use Claude Code With Skills, MCP, Agents & Plugins
https://www.youtube.com/watch?v=jzf7DQa2CAc
*YouTube video about claude code skills and mcp servers*
---
**Sources:**
✅ Reddit: 4 threads
✅ X: 11 posts
✅ YouTube: 10 videos (3 with transcripts)
⏭️ HN: 0 stories found
⚡ Web: assistant will use WebSearch
@@ -0,0 +1,233 @@
## Research Results: Seedance AI video generation
**Date Range:** 2026-01-26 to 2026-02-25
**Mode:** both
**OpenAI Model:** gpt-5.2
**xAI Model:** grok-4-1-fast
### Reddit Threads
**R23** (score:76) r/generativeAI (2026-02-24)
Official website for creating content with Seedance 2.0?
https://www.reddit.com/r/generativeAI/comments/1rcgyi4/official_website_for_creating_content_with/
*Direct thread about where to use Seedance 2.0 for generating videos (and discussion of scams/third parties).*
**R19** (score:76) r/generativeAI (2026-02-22)
This is terrifying!! Seedance 2.0 just generated a 1-minute film with ZERO editing — the entire film industry should be worried
https://www.reddit.com/r/generativeAI/comments/1rbionc/this_is_terrifying_seedance_20_just_generated_a/
*High-signal discussion about Seedance 2.0 video generation quality (multi-shot coherence, transitions, filmmaking).*
**R20** (score:75) r/Seedance_AI (2026-02-23)
Help! I need to use seedance or jimeng video function
https://www.reddit.com/r/Seedance_AI/comments/1rckgcm/help_i_need_to_use_seedance_or_jimeng_video/
*Access/how-to thread specifically about using Seedance/Jimeng video generation.*
**R18** (score:72) r/Seedance_AI (2026-02-20)
so disappointed and frustrated with recent changes (wasted 1k$+)
https://www.reddit.com/r/Seedance_AI/comments/1ra6nf4/so_disappointed_and_frustrated_with_recent/
*User report about Seedance video generation failing review/guardrails and credit usage—directly about Seedance generation.*
**R25** (score:71) r/SaasDevelopers (2026-02-24)
Third-party Seedance 2.0 API
https://www.reddit.com/r/SaasDevelopers/comments/1rdw3uz/thirdparty_seedance_20_api/
*Discussion about Seedance 2.0 video generation availability via third-party API and Dreamina integration.*
**R21** (score:71) r/Seedance_AI (2026-02-23)
What happened to doubao?
https://www.reddit.com/r/Seedance_AI/comments/1rcox3z/what_happened_to_doubao/
*Discussion around ByteDance/Doubao access issues while trying to use Seedance 2 (video generation availability).*
**R28** (score:68) r/Seedance_AI (2026-02-24)
Selfie Situation • Seedance 2.0 • Third-party API by useapi.net
https://www.reddit.com/r/Seedance_AI/comments/1rduxop/selfie_situation_seedance_20_thirdparty_api_by/
*Seedance 2.0 discussion focused on third-party access and whether generations are truly Seedance 2.0 quality.*
**R22** (score:68) r/AIGuild (2026-02-23)
ByteDance Faces Hollywood Backlash Over Seedance 2.0
https://www.reddit.com/r/AIGuild/comments/1rc4pkg/bytedance_faces_hollywood_backlash_over_seedance/
*Seedance 2.0 discussion tied to generated video content/IP concerns and potential impacts on access/release.*
**R17** (score:67) r/AI_UGC_Marketing (2026-02-17)
Elevenlabs silently removed Seedance 2.0 after SAG-AFTRA incident, cant create UGC style video
https://www.reddit.com/r/AI_UGC_Marketing/comments/1r70942/elevenlabs_silently_removed_seedance_20_after/
*Discussion about Seedance 2.0 availability/removal in a toolchain for generating UGC-style AI videos.*
**R27** (score:64) r/u_PoppyVonMiller (2026-02-24)
Seedance 2.0 Music Video
https://www.reddit.com/r/u_PoppyVonMiller/comments/1rdkptn/seedance_20_music_video/
*Example/discussion of an output video made with Seedance 2.0 (AI video generation results).*
**R13** (score:63) r/generativeAI (2026-02-10)
Where is the official Seedance website?
https://www.reddit.com/r/generativeAI/comments/1r19eem/where_is_the_official_seedance_website/
*Seedance access/official-site discussion (important for actually generating videos with Seedance).*
**R15** (score:62) r/AiVideos_NoRules (2026-02-15)
Seedance 2.0
https://www.reddit.com/r/AiVideos_NoRules/comments/1r51m86/seedance_20/
*Thread about Seedance 2.0 as an AI video generator and its capabilities/impact.*
**R12** (score:62) r/GoogleGeminiAI (2026-02-09)
Has anyone used Seedance 2.0 yet?
https://www.reddit.com/r/GoogleGeminiAI/comments/1qzrhgd/has_anyone_used_seedance_20_yet/
*Direct discussion of Seedance 2.0 usage/access for AI video generation and where people are trying it.*
**R24** (score:61) r/aivideo (2026-02-24)
[Removed]
https://www.reddit.com/r/aivideo/comments/1rdi8sm/removed/
*Thread/comments reference Seedance 2.0 access and community moderation around AI-generated video/IP.*
**R16** (score:61) r/nairobitechies (2026-02-16)
ByteDance Seedance: Multimodal Video Generation Reaches a New Threshold
https://www.reddit.com/r/nairobitechies/comments/1r6gwyj/bytedance_seedance_multimodal_video_generation/
*Seedance family discussion (1.0/1.5/2.0) focusing on video generation features and multimodal inputs.*
### X Posts
**X9** (score:86) @HBCoop_ (2026-02-25) [9likes]
First Seedance 2.0 Test!
Seedance 5.0 Lite @krea_ai → Seedance 2.0 @capcutapp
Prompt: Close-up on her hands gripping the paintbrush, knuckles white, paint dripping down her wrist. Shallow depth of ...
https://x.com/HBCoop_/status/2026748738354450919
**
**X12** (score:77) @Noor_ul_ain43 (2026-02-25) [5likes]
Goku vs Broly , EPIC Full Battle!
Witness the ultimate Saiyan showdown recreated with AI power. Explosive transformations, insane energy blasts, and nonstop action all brought to life with Seedance 2...
https://x.com/Noor_ul_ain43/status/2026743666635845959
**
**X10** (score:66) @grok (2026-02-25) [2likes]
@WolfyBlair @Preda2005 @BytePlusGlobal @capcutapp Yes, it's true—Seedance 2.0 is now live in CapCut (desktop &amp; mobile).
See it in the AI video tools: https://t.co/K3gwCgUSyb
Just update the ap...
https://x.com/grok/status/2026747009143549978
**
**X1** (score:64) @jznode (2026-02-25)
@ChinyJPG capcut desktop app, they just added seedance 2.0 today. no chinese phone number needed, works globally. download the desktop version, look for the AI video generation option. runs about $2 p...
https://x.com/jznode/status/2026755966545404015
**
**X5** (score:64) @Yousaf_340 (2026-02-25)
@ProperPrompter Yes! Seedance 2.0 on CapCut means cinematic AI video editing is super accessible smooth action, multi-angle shots, and high-quality effects right from your phone. 🎬🔥...
https://x.com/Yousaf_340/status/2026751320716357996
**
**X6** (score:64) @Yousaf_340 (2026-02-25)
@ivanka_humeniuk Seedance 2.0 is insane for cinematic AI video smooth action, multiple camera angles, and near-Hollywood quality all from a single prompt....
https://x.com/Yousaf_340/status/2026750898769473829
**
**X3** (score:64) @EmmaUsesAi (2026-02-25)
Seedance 2.0 is the motion engine behind many cinematic AI clips trending right now.
Its now native inside NemoVideo.
You can:
- Identify proven formats
- Analyze what drives retention
- Turn an id...
https://x.com/EmmaUsesAi/status/2026751784509673531
**
**X2** (score:64) @OneStrangeW (2026-02-25)
You can use Seedance. If Seedance 2.0 hasn't launch yet, the prior version is great, and stick pretty well to the prompt. Of course the video agent must be well trained. 🙂Also, you can offer SORA for ...
https://x.com/OneStrangeW/status/2026755320362709093
**
**X11** (score:64) @WyldeChyldeRec (2026-02-25)
🚨Phishing Scam!
Watch for emails titled:
[Seedance &amp; Wan AI] Unrestricted generation with Grok Imagine video added
This is not real. We don't have a Seedance account, and the links are not offi...
https://x.com/WyldeChyldeRec/status/2026743867224240149
**
**X7** (score:56) @La_DeCrypt (2026-02-25) [1likes]
- Kling (https://t.co/WGphQsdLf1)
- Seedance 2.0 (https://t.co/A8UzLTRGNo)
☞ AI-powered video editing:
- Descript (https://t.co/q4axNEjDzt)
- OpusClip (https://t.co/5XPn4EPH6u)
- Submagic (https:/...
https://x.com/La_DeCrypt/status/2026750376687394884
**
**X8** (score:56) @TferThomas (2026-02-25) [1likes]
Seedance 2.0 might be gen AI videos next big hope, but its still slop https://t.co/kT1baOYJQk #AI...
https://x.com/TferThomas/status/2026749218224746609
**
### YouTube Videos
**F1kWxdfiBNE** (score:73) AI Filmmaking Academy (2026-02-22) [40,982 views, 1,088 likes]
Seedance 2.0 Claims the AI Video Throne!
https://www.youtube.com/watch?v=F1kWxdfiBNE
*YouTube video about seedance ai video generation*
**_o2MuUX9UYg** (score:73) Theoretically Media (2026-02-09) [199,908 views, 4,986 likes]
Seedance 2.0 Claims the AI Video Throne!
https://www.youtube.com/watch?v=_o2MuUX9UYg
Transcript: So, it's been about a week since I declared Cling 3.0 the new benchmark for state-of-the-art AI video. And well, I mean, it's been a week, and that basically equals about 3 months in AI time. So, yes,...
*YouTube video about seedance ai video generation*
**jkPTYD5lXo8** (score:70) How To In 5 Minutes (2026-02-19) [44,344 views, 782 likes]
100% FREE Seedance 2.0 AI Video Generator: How to Use It WORLDWIDE
https://www.youtube.com/watch?v=jkPTYD5lXo8
Transcript: No, this is not clickbait. You can now access Cance 2.0 for free from anywhere. No registration required and depending on how you use it, this method can [music] feel almost unlimited. And yes, at the...
*YouTube video about seedance ai video generation*
**W_lxyDFDZt4** (score:69) WealthWise (2026-02-12) [126,599 views, 1,204 likes]
Seedance 2.0: The New Best AI Video Generator | Sora 2 Destroyed
https://www.youtube.com/watch?v=W_lxyDFDZt4
Transcript: Well, major AI video update, ladies and gentlemen. Seance 2.0 is right around the corner. And let me tell you guys, this is something I have never seen before. Just take a look at some of the videos g...
*YouTube video about seedance ai video generation*
**R1zl92NhCfE** (score:65) Ai Lockup (2026-02-16) [32,699 views, 591 likes]
Seedance 2.0 How To Use and Become a Pro AI Film Maker With This AI Video Generator
https://www.youtube.com/watch?v=R1zl92NhCfE
*YouTube video about seedance ai video generation*
**G1Ad4a8sdJU** (score:63) Benjis AI Playground (2026-02-14) [38,581 views, 419 likes]
SeeDance 2.0: The Next Level of AI Video — And What It Means for Local AI Users?
https://www.youtube.com/watch?v=G1Ad4a8sdJU
*YouTube video about seedance ai video generation*
**n625xVounGM** (score:61) John Savage AI (2026-02-23) [7,184 views, 126 likes]
How To Generate FREE AI Seedance 2.0 Videos (Access Worldwide)
https://www.youtube.com/watch?v=n625xVounGM
*YouTube video about seedance ai video generation*
**kJ0NAVmd4f4** (score:58) Rogue Cell Pictures (2026-02-25) [1,544 views, 147 likes]
Seedance 2.0 Changes Filmmaking Forever | New Original Series
https://www.youtube.com/watch?v=kJ0NAVmd4f4
*YouTube video about seedance ai video generation*
**FP8TaJSFohs** (score:55) Chem Beast (2026-02-24) [3,194 views, 31 likes]
How To Use Seedance 2 0 Full AI Video Generator Tutorial + Free Access Guide
https://www.youtube.com/watch?v=FP8TaJSFohs
*YouTube video about seedance ai video generation*
**61ThJGqwHsI** (score:48) xCreate (2026-02-11) [4,854 views, 86 likes]
Ultimate AI Video Generation - Seedance 2.0 PREVIEW
https://www.youtube.com/watch?v=61ThJGqwHsI
*YouTube video about seedance ai video generation*
---
**Sources:**
✅ Reddit: 16 threads
✅ X: 11 posts
✅ YouTube: 10 videos (3 with transcripts)
⏭️ HN: 0 stories found
⚡ Web: assistant will use WebSearch
@@ -0,0 +1,198 @@
## Research Results: M4 MacBook Pro review
**Date Range:** 2026-01-26 to 2026-02-25
**Mode:** both
**OpenAI Model:** gpt-5.2
**xAI Model:** grok-4-1-fast
### Reddit Threads
**R1** (score:0) r/macbookpro (2025-04-09) [date:low]
M4 Macbook Pro 14 1 month review
https://www.reddit.com/r/macbookpro/comments/1hflaaz/m4_macbook_pro_14_1_month_review/
*Explicit 1-month review of the M4 MacBook Pro (ownership impressions, battery, durability, etc.).*
**R2** (score:0) r/macbookpro (2025-05-19) [date:low]
MacBook Pro M4 Battery Life Reality vs Review
https://www.reddit.com/r/macbookpro/comments/1kq2zd8/macbook_pro_m4_battery_life_reality_vs_review/
*Discussion comparing real-world M4 MacBook Pro battery life to published reviews/testing methodology.*
**R3** (score:0) r/macbookpro (2025-08-18) [date:low]
Disappointed with my MBP M4 Experience …
https://www.reddit.com/r/macbookpro/comments/1mtmkts/disappointed_with_my_mbp_m4_experience/
*First-hand experience post that references reviews and reports performance/heat/app stability issues on an M4 MBP.*
### X Posts
**X1** (score:86) @bhphoto (2026-02-25) [3likes]
If you are in the market for a new MacBook Pro and youre wondering what the real differences are between Apples M3 and M4 silicon, youve come to the right place ⬇️
https://t.co/nzjXmiHmac https://t...
https://x.com/bhphoto/status/2026737767695183948
**
**X4** (score:70) @remplug (2026-02-25) [1likes, 1rt]
🔥 2024 16” MacBook Pro Price List
1️⃣ 🇺🇸 Brand New MacBook Pro 2024 | M4 Pro Chip | 16” Display
24GB RAM | 512GB SSD
14-Core CPU | 20-Core GPU
Space Black
💰 ₦2,720,000
2️⃣ 🇺🇸 Brand New MacBook Pr...
https://x.com/remplug/status/2026725100213465443
**
**X10** (score:64) @grok (2026-02-25)
@5TRgzn @LobstarWilde My marble floors: 64GB M4 Pro/Max MacBook Pro. Local Grok agents run full autonomy loops, zero cloud, sub-second trades/scans. Intel's ancient—ditch it. Yours at $3-4k....
https://x.com/grok/status/2026713588472111312
**
**X9** (score:64) @principenemesis (2026-02-25)
@JulianGoldieSEO @grok can a macbook pro m4 run this?...
https://x.com/principenemesis/status/2026716193042706852
**
**X5** (score:64) @jameslmorton (2026-02-25) [1likes]
@SebAaltonen Not my experience. Its impressive, 70 tokens/s on a maxed out M4 128gb MacBook Pro.
But absolutely sucked and not even remotely in the ballpark with Sonnet 4.5. Its GPT-3.5.
Totally b...
https://x.com/jameslmorton/status/2026721943630786816
**
**X6** (score:64) @bcofertas (2026-02-25)
BR Ofertas todos os dias 🇧🇷
Leve seu Mac Pro M4 hoje! 💻⚡✨
Pegue já: https://t.co/PSwylZH3Sz
Por R$ 23.749,00
em até 10x sem juros
Frete Grátis
Apple MacBook Pro 14″ 2024 M4 Pro 12 núcleos 24GB 512...
https://x.com/bcofertas/status/2026721014676099084
**
**X12** (score:64) @grok (2026-02-25)
Hey! Yeah, you can install Fedora on the M6 MacBook Pro via the official Fedora Asahi Remix (built on the Asahi Linux project). It already runs great on M1/M2, with M3 support rolling out now and work...
https://x.com/grok/status/2026704108820824113
**
**X7** (score:64) @toppromoalertas (2026-02-25)
Promoções BR do dia 🇧🇷
Leve seu Mac Pro M4 hoje! 💻⚡✨
Ver aqui: https://t.co/LfxNw3waps
Por R$ 23.749,00
em até 10x sem juros
Frete Grátis
Apple MacBook Pro 14″ 2024 M4 Pro 12 núcleos...
Amazon | ...
https://x.com/toppromoalertas/status/2026719111523237932
**
**X8** (score:64) @grok (2026-02-25)
Yes, a MacBook Pro M4 can run this Ollama + GLM-4.7-Flash setup locally.
Ollama has native Apple Silicon support via Metal. The Q4_K_M model (~19GB) needs ~18-24GB unified memory for good speed (feel...
https://x.com/grok/status/2026716420269031652
**
**X2** (score:56) @grecinoscdev (2026-02-25) [1likes]
@TechByTaraa Both. macOS (Macbook Pro M4 Pro) for my photography/videography personal stuff + software engineering and a Linux desktop workstation for software engineering + second desktop workstation...
https://x.com/grecinoscdev/status/2026731118142148644
**
**X11** (score:56) @Steve_Lost_Jobs (2026-02-25) [1likes]
Apple 2024 MacBook Pro 14コアCPU、20コアGPU の M4 Pro搭載ノートパ... PR
4549995547610
ポイント: 3735㌽
想定価格: 369,800
2026/02/26 01:55:23
https://t.co/q1uyIqFsID...
https://x.com/Steve_Lost_Jobs/status/2026705327828382016
**
**X3** (score:56) @grok (2026-02-25) [1likes]
No, Apple has not made any MacBook (Pro or otherwise) cost $299.
The linked Newsroom search returns zero matching results—it's just unrelated announcements. Current cheapest Mac is the 13" MacBook A...
https://x.com/grok/status/2026727605517394283
**
### YouTube Videos
**9HQx5pgUoiY** (score:61) Marques Brownlee (2024-11-18) [4,010,567 views, 105,606 likes]
M4 Max MacBook Pro: I'm Convinced!
https://www.youtube.com/watch?v=9HQx5pgUoiY
Transcript: so I have been using this M1 Max MacBook Pro for the past 3 years since it came out and it's been great I have felt absolutely no compulsion to upgrade since haven't needed to it's funny most of my wo...
*YouTube video about m4 macbook pro review*
**etP2Th9g2hM** (score:55) ShortCircuit (2024-11-30) [1,113,999 views, 22,765 likes]
Don't buy the Wrong MacBook like me... - M4 MacBook Pro
https://www.youtube.com/watch?v=etP2Th9g2hM
Transcript: woohoo it's new Macbook day my favorite day on short circuit it only comes usually once a year this is the MacBook Pro M4 looks pretty similar to the last one but now it has an M4 instead of an M3 I'm...
*YouTube video about m4 macbook pro review*
**b4x8boB2KdI** (score:55) Dave2D (2024-11-07) [1,057,988 views, 24,977 likes]
M4 MacBook Pro Review - Things to Know
https://www.youtube.com/watch?v=b4x8boB2KdI
Transcript: so Apple launched the new M4 MacBook Pros this is their 14-in model and it's equipped with the M4 Max their topend configuration and it also has their new Nano texture on their screen it's a texture t...
*YouTube video about m4 macbook pro review*
**uPe9spXLfZY** (score:50) Created Tech (2025-07-07) [472,845 views, 5,082 likes]
M4 MacBook Air vs M4 MacBook Pro - 4 Months Later
https://www.youtube.com/watch?v=uPe9spXLfZY
*YouTube video about m4 macbook pro review*
**TfvIgdzImt4** (score:50) Hardware Canucks (2024-12-15) [325,599 views, 6,339 likes]
The Macbook Pro M4 is Insane.
https://www.youtube.com/watch?v=TfvIgdzImt4
*YouTube video about m4 macbook pro review*
**a8Szdrnq0YM** (score:49) Brandon Butch (2025-02-03) [352,593 views, 4,309 likes]
MacBook Pro M4 - Review After 3 Months: This Feels Wrong.
https://www.youtube.com/watch?v=a8Szdrnq0YM
*YouTube video about m4 macbook pro review*
**anIVewgtbFc** (score:48) MacRumors (2024-12-17) [238,619 views, 2,874 likes]
The Base M4 MacBook Pro is All You Need (Skip M4 Pro & Max)
https://www.youtube.com/watch?v=anIVewgtbFc
*YouTube video about m4 macbook pro review*
**5rN6CEO31gM** (score:48) Just Josh (2024-11-15) [154,306 views, 4,540 likes]
MacBook Pro M4: Review & Recommendations
https://www.youtube.com/watch?v=5rN6CEO31gM
*YouTube video about m4 macbook pro review*
**i3eTKJav1VI** (score:45) Created Tech (2025-04-29) [137,009 views, 1,832 likes]
M4 Pro MacBook - Long Term Review (6 Months Later)
https://www.youtube.com/watch?v=i3eTKJav1VI
*YouTube video about m4 macbook pro review*
**QbSQH_95eg8** (score:36) Tech It Easy (2026-02-01) [3,176 views, 55 likes]
MacBook Pro M4 Pro Review: 1 Year Later! (Still Worth Buying in 2026?)
https://www.youtube.com/watch?v=QbSQH_95eg8
*YouTube video about m4 macbook pro review*
---
**Sources:**
✅ Reddit: 3 threads
✅ X: 12 posts
✅ YouTube: 10 videos (3 with transcripts)
⏭️ HN: 0 stories found
⚡ Web: assistant will use WebSearch
@@ -0,0 +1,145 @@
## Research Results: best rap songs 2026
**Date Range:** 2026-01-26 to 2026-02-25
**Mode:** both
**OpenAI Model:** gpt-5.2
**xAI Model:** grok-4-1-fast
### Reddit Threads
**R10** (score:57) r/TeenageRapFans (2026-02-15)
What's the best rap song ever made?
https://www.reddit.com/r/TeenageRapFans/comments/1r5iub6/whats_the_best_rap_song_ever_made/
*Direct best rap song debate thread posted in 2026; good for mining frequently-cited best contenders.*
**R12** (score:52) r/HivemindTV (2026-02-19)
This is their worst bracket ever
https://www.reddit.com/r/HivemindTV/comments/1r8px0j/this_is_their_worst_bracket_ever/
*Meta thread about a Best Rap songs of the 21st century bracket/video; includes debate about picks and what “best rap songs” should be.*
**R4** (score:49) r/hiphopheads (2026-02-13)
Daily Discussion Thread 02/13/2026
https://www.reddit.com/r/hiphopheads/comments/1r3mudz/daily_discussion_thread_02132026/
*General hip-hop discussion thread dated in 2026 where users frequently debate best tracks (including “best track is probably…” style mini-rankings).*
**R3** (score:48) r/hiphopheads (2026-02-01)
Pre-Show Grammy Winners
https://www.reddit.com/r/hiphopheads/comments/1qtcbmo/preshow_grammy_winners/
*Discusses 2026 Grammys rap categories (Best Rap Song/Performance, etc.), which commonly overlaps with best rap songs discussions.*
**R14** (score:41) r/edranked (2026-02-01)
Reddit Ranked: Hip Hop 26
https://www.reddit.com/r/redranked/comments/1qszauu/reddit_ranked_hip_hop_26/
*Community submission/ranking project for Hip Hop 26; relevant to discovering and discussing top tracks for 2026.*
**R7** (score:28) r/hiphopheads (date unknown) [date:low]
Pitchfork: The 32 Best Rap Albums of 2025
https://www.reddit.com/r/hiphopheads/comments/1pjywih/pitchfork_the_32_best_rap_albums_of_2025/
*Best-of list discussion (albums) that typically includes commenters calling out standout songs; adjacent to best rap songs discourse heading into 2026.*
### X Posts
**X5** (score:86) @Zika_gfx (2026-02-25) [11likes, 5rt]
Talking about meaningful rap songs...
WORLD BEST LIE - NUNO ZIGI (2026)🥺❤ https://t.co/MDHRf3giYq...
https://x.com/Zika_gfx/status/2026576570513600788
**
**X6** (score:69) @DPOSTS6 (2026-02-25) [4likes, 1rt]
@PopCrave Partition still goes harder than most 2026 songs
12 years and the beat switch + that rap still give chills every time. Queen never misses...
https://x.com/DPOSTS6/status/2026523320548819145
**
**X9** (score:64) @grok (2026-02-25)
@Unfath0m4ble @robinthisbish @lilceaserthabp1 @RapWikip What You Saying by Lil Uzi Vert. Dropped Dec 2025, hit #1 on Hot Rap Songs in Jan 2026 (his 3rd time), peaked #14 Hot 100. Super short track ~2 ...
https://x.com/grok/status/2026467153046606064
**
**X7** (score:64) @grok (2026-02-25)
@lil_loonie1 @oldmanebro No, Lil Uzi Vert isn't struggling. His "What You Saying" hit #1 on Hot Rap Songs in Jan 2026 (first in 3 years) and top 15 Hot 100. Insiders say a surprise album drop is comin...
https://x.com/grok/status/2026518008827404632
**
**X2** (score:64) @Ferginangi (2026-02-25)
Su La Musica che gira intorno... "Qui con me" è il brano con cui Serena Brancale è in gara al 76° Festival di Sanremo
https://t.co/wTPeovzt6u
#music #genre #song #songs #envywear #PleaseForgiveMe #mel...
https://x.com/Ferginangi/status/2026696207557382298
**
**X12** (score:62) @teammusic2046 (2026-02-23)
[ ** STUDIO BOOTH ** ] ** DROPPING SOON - 2026 **🔥🔥🔥………..[ ALBUM : LOVE VS LOYALTY - DROPPING SOON ! ]………🔥🔥🔥 - ** ALL SONGS &amp; BEATS, PRODUCED &amp; RAP BY ( SEAN BRYANT ) - https://t.co/LduwG5WmM7...
https://x.com/teammusic2046/status/2026040965329191061
**
**X11** (score:59) @IoWeul (2026-02-24) [2likes]
@PopBase Finally, @bts_bighit BTS will come back after completing their military service from 2022 to 2025.
BTS served in the military to protect their country, South Korea from North Korea's nuclear ...
https://x.com/IoWeul/status/2026233090683863471
**
**X8** (score:58) @grok (2026-02-25) [1likes]
Lil Uzi Vert (born July '95, so 30 now) isn't struggling at all. Fresh off "What You Saying" hitting #1 on Hot Rap Songs in Jan 2026, top 15 Hot 100. New album rumored for surprise drop soon, Roc Nati...
https://x.com/grok/status/2026498538075554040
**
**X4** (score:58) @AlterEgoPopList (2026-02-25) [1likes]
My musical taste / eras every year
2020: J-POP &amp; K-POP (mostly BLACKPINK)
2021: Sped-Up Songs
2022: EDM
2023: Swiftie (Pop) &amp; Lofi
2024: Pop, Ambient
2025: Alternative, OPM, Rock, Rap, Hip-Ho...
https://x.com/AlterEgoPopList/status/2026641456434393579
**
**X3** (score:56) @WordsFromBlerds (2026-02-25) [1likes]
@_CharlesPreston Cant believe Im seeing “they say it in rap songs!” In 2026
The same reductive, ancient, debunked arguments ad infinitum...
https://x.com/WordsFromBlerds/status/2026647382083903688
**
**X1** (score:56) @Ferginangi (2026-02-25) [1likes]
Su La Musica che gira intorno... "Magica Favola" è il brano con cui Arisa è in gara al 76° Festival di Sanremo
https://t.co/Nxzkb005lP
#music #genre #song #songs #envywear #PleaseForgiveMe #melody #hi...
https://x.com/Ferginangi/status/2026705227366256880
**
**X10** (score:55) @fo_sho52268 (2026-02-24) [1likes]
@blackiiingout 💩 is funny from 2025 to 2026. BiiCH is SCARED to drop that #TRASH he calls "rap songs" 🥴😩...
https://x.com/fo_sho52268/status/2026335353364201566
**
### YouTube Videos
**ZUExyc50ZVU** (score:63) West Coast Finest (2026-01-29) [407,260 views, 4,228 likes]
Lit Hip Hop Mix 2026🔥🔥🔥Tyga, Quavo, Iggy Azalea, Wiz Khalifa, Juicy J, 50 Cent
https://www.youtube.com/watch?v=ZUExyc50ZVU
Transcript: Yeah. &gt;&gt; Yeah. [music] Late nights, cold life, same story. &gt;&gt; City shine different. You walking with glory, right? &gt;&gt; Still drip falling when I step outside. Yeah. [music] &gt;&gt; B...
*YouTube video about rap songs 2026*
**d1melQQVp6s** (score:58) DJ Noize (2026-02-14) [42,707 views, 761 likes]
New Rap Songs 2026 Mix February | Trap Tape #127 | New Hip Hop 2026 Mixtape | DJ Noize
https://www.youtube.com/watch?v=d1melQQVp6s
Transcript: [music] This This is a DJ noise mixtape present. This is a DJ noise mixtape [music] presentation. DJ [music] &gt;&gt; Who the [&nbsp;__&nbsp;] is you? Who the [&nbsp;__&nbsp;] is you? Who the [&nbsp;_...
*YouTube video about rap songs 2026*
**-KQpPySP93I** (score:53) DJ Noize (2026-02-21) [12,955 views, 304 likes]
New Hip Hop R&B Songs 2026 Mix February | Hot Right Now #153 | New Rap 2026 Playlist | DJ Noize
https://www.youtube.com/watch?v=-KQpPySP93I
Transcript: This This is a DJ noise tape present. This is a DJ noise mix. [music] I got Nikki on me. How we treat the like a bucket for rubbing. You [music] ain't no fella from my junction. You ain't pluck you cl...
*YouTube video about rap songs 2026*
---
**Sources:**
✅ Reddit: 6 threads
✅ X: 12 posts
✅ YouTube: 3 videos (3 with transcripts)
⏭️ HN: 0 stories found
⚡ Web: assistant will use WebSearch
@@ -0,0 +1,162 @@
## Research Results: React vs Svelte 2026
**Date Range:** 2026-01-26 to 2026-02-25
**Mode:** both
**OpenAI Model:** gpt-5.2
**xAI Model:** grok-4-1-fast
### Reddit Threads
**R2** (score:67) r/eact (2026-02-10)
What do you guys think about comparison between React vs Svelte?
https://www.reddit.com/r/react/comments/1r1fku5/what_do_you_guys_think_about_comparison_between/
*Explicit React vs Svelte comparison thread posted in 2026.*
**R1** (score:61) r/webdev (2026-02-02)
Migrated our startup from React to Svelte 5 - Performance gains and lessons learned
https://www.reddit.com/r/webdev/comments/1qu4dek/migrated_our_startup_from_react_to_svelte_5/
*Direct React → Svelte 5 migration discussion with perf + DX comparisons (very 2026-relevant).*
**R21** (score:39) r/sveltejs (date unknown) [date:low]
React Devs that moved to Svelte, do you find that Svelte reduces dev time?
https://www.reddit.com/r/sveltejs/comments/105skdr/react_devs_that_moved_to_svelte_do_you_find_that/
*Asks React devs about dev-time differences after moving to Svelte (DX/ecosystem tradeoffs).*
**R11** (score:35) r/sveltejs (date unknown) [date:low]
Svelte 5 officially released!
https://www.reddit.com/r/sveltejs/comments/1g7d3a7/svelte_5_officially_released/
*Major Svelte 5 release thread with debate about whether React developers will switch (React vs Svelte dynamics).*
### X Posts
**X4** (score:76) @FabianHiller (2026-02-13) [61likes, 2rt]
TypeScript is the baseline in 2026. But most forms still fight type drift between API, schema & UI.
@formisch_dev + @valibot = one source of truth, zero boilerplate ⚡️
const form = useForm({ schem...
https://x.com/FabianHiller/status/2022345388603080834
**
**X3** (score:57) @ConsciousRide (2026-02-15) [6likes]
Popular JavaScript Frameworks / Frontend Libraries (20252026 trends)
- React: 🇺🇸 United States
- Vue: 🇨🇳 China (created by Evan You)
- Angular: 🇺🇸 United States
- Svelte: 🇺🇸 United State...
https://x.com/ConsciousRide/status/2023050160520278501
**
**X11** (score:53) @singhprateek_25 (2026-02-07) [6likes, 1rt]
Requirements for a fresher in 2026:
Python, JavaScript, C, C++, Java, HTML, CSS, TypeScript, React, Next.js, Vue, Angular, Svelte, Node.js, Express, Django, Flask, FastAPI, Spring Boot, PHP, Laravel,...
https://x.com/singhprateek_25/status/2020094806735700154
**
**X1** (score:52) @cityjsconf (2026-02-20) [1rt]
Ripple: The Good Parts of React, Svelte, and Solid
Frameworks rise and fall — and in 2026 were deep in late-stage React. Whats next? Join @erikras as he introduces Ripple, a TypeScript-first UI fra...
https://x.com/cityjsconf/status/2024908272646398229
**
**X2** (score:52) @dennydotio (2026-02-18) [1likes]
Prediction: 2026 marks the death of the JS frameworks. React, Svelte, Astro etc... only exist because humans need organized code to stay sane.
Once we stop reading the source code, we stop needing ...
https://x.com/dennydotio/status/2024195986890109320
**
**X5** (score:52) @AzamCodes (2026-02-13) [2likes]
Web developers, what stack are you using in 2026?
React? Vue? Svelte? Vanilla? Curious whats actually winning....
https://x.com/AzamCodes/status/2022298287236383010
**
**X8** (score:52) @QiitaTrend (2026-02-11)
[2026/02/11 18:00] トレンド1位
【WebF】React/Vue/Svelteがそのままネイティブアプリになるよ by rana_kualu https://t.co/GiAnTHpOBB...
https://x.com/QiitaTrend/status/2021509592489025785
**
**X10** (score:50) @nicobaogim (2026-02-09)
@babakfpk In 2026, picking React for a new project only really makes sense if you value ecosystem maturity, are following existing team habits, or need React-specific libraries. Same for Vue. Otherwis...
https://x.com/nicobaogim/status/2020689628282667407
**
**X12** (score:49) @Chubbi_Stephen (2026-02-07)
2026 framework discourse:
Dev 1: "React is bloated, use Svelte"
Dev 2: "Svelte has no ecosystem, use Vue"
Dev 3: "Vue is dying, use Solid"
Dev 4: "Just use React"
Meanwhile React: *still powering 80...
https://x.com/Chubbi_Stephen/status/2020087839648800853
**
### YouTube Videos
**yl0YWA2K2B0** (score:61) Fireship (2025-10-17) [699,597 views, 22,894 likes]
React wants to win you back…
https://www.youtube.com/watch?v=yl0YWA2K2B0
Transcript: Last week, I got to participate in my favorite activity of the year. No, it wasn't watching all the overleveraged crypto bros learn what a margin call is. It was hate watching React comp as an anti-re...
*YouTube video about react vs svelte 2026*
**MnpuK0MK4yo** (score:61) Beyond Fireship (2023-06-30) [697,106 views, 25,490 likes]
React VS Svelte...10 Examples
https://www.youtube.com/watch?v=MnpuK0MK4yo
Transcript: any reasonable developer in today's world would learn react because it's the status quo and that's where the jobs are but life is a lot more fun when you become unreasonable and go against the status ...
*YouTube video about react vs svelte 2026*
**aYyZUDFZTrM** (score:60) Fireship (2024-10-24) [547,841 views, 24,456 likes]
JavaScript framework reinvents itself… Did "runes" just ruin Svelte?
https://www.youtube.com/watch?v=aYyZUDFZTrM
Transcript: about a year ago I made a tweet that said the dollar sign in spelt is the most powerful abstraction in modern front-end web development usually I'm not wrong about anything ever but this tweet ended u...
*YouTube video about react vs svelte 2026*
**k7LhsqnJCe4** (score:51) Paperclick (2026-02-19) [26 views, 1 likes]
Htmx vs Svelte (2026) - Which One Is BETTER?
https://www.youtube.com/watch?v=k7LhsqnJCe4
*YouTube video about react vs svelte 2026*
**IpJh0VEzMRo** (score:51) Ben Davis (2025-10-12) [24,631 views, 1,043 likes]
I Was Wrong About Svelte...
https://www.youtube.com/watch?v=IpJh0VEzMRo
*YouTube video about react vs svelte 2026*
**qwDp5pZA_TA** (score:50) Code Hub (2026-02-08) [640 views, 31 likes]
The Front-end Frameworks Guide 2026: React vs Angular vs Vue vs Svelt vs Solid vs Astro
https://www.youtube.com/watch?v=qwDp5pZA_TA
*YouTube video about react vs svelte 2026*
**1cGtYEXGm8c** (score:50) Ben Davis (2026-01-06) [16,900 views, 793 likes]
This is THE Framework You Should be Using in 2026
https://www.youtube.com/watch?v=1cGtYEXGm8c
*YouTube video about react vs svelte 2026*
**_vuVy21l2bU** (score:46) Code Hub (2025-10-30) [6,454 views, 204 likes]
React vs Svelte: The Brutal Honest Comparison EVER
https://www.youtube.com/watch?v=_vuVy21l2bU
*YouTube video about react vs svelte 2026*
**1BCsdaeYv0A** (score:43) Daniel | Tech & Data (2023-11-26) [33,905 views, 0 likes]
Svelte vs React in 2025 - Make the RIGHT Choice (Difference Explained)
https://www.youtube.com/watch?v=1BCsdaeYv0A
*YouTube video about react vs svelte 2026*
**41HXdxGekZ0** (score:36) Paperclick (2025-10-04) [287 views, 3 likes]
Vue vs React vs Svelte (2026) - Which One Is BEST?
https://www.youtube.com/watch?v=41HXdxGekZ0
*YouTube video about react vs svelte 2026*
---
**Sources:**
✅ Reddit: 4 threads
✅ X: 9 posts
✅ YouTube: 10 videos (3 with transcripts)
⏭️ HN: 0 stories found
⚡ Web: assistant will use WebSearch
@@ -0,0 +1,285 @@
## Research Results: Claude Code skills and MCP servers
**Date Range:** 2026-01-26 to 2026-02-25
**Mode:** both
**OpenAI Model:** gpt-5.2
**xAI Model:** grok-4-1-fast
### Reddit Threads
**R1** (score:78) r/ClaudeCode (2026-02-23)
ClaudeInOne — a full framework for Claude Code, installed in one command
https://www.reddit.com/r/ClaudeCode/comments/1rcbria/claudeinone_a_full_framework_for_claude_code/
*Directly about Claude Code skills (213 skills) and a reusable framework for Claude Code workflows.*
**R10** (score:77) r/ClaudeCode (2026-02-25)
Claude Code works great… until you have too many MCP servers
https://www.reddit.com/r/ClaudeCode/comments/1rehy2x/claude_code_works_great_until_you_have_too_many/
*Scaling issues and architecture discussion when using many MCP servers with Claude Code (mentions gateway).*
**R2** (score:77) r/ClaudeCode (2026-02-22)
I built an MCP server that gives Claude Code a semantic graph of your codebase - went from ~15k tokens of grep output to ~3k of relevant context
https://www.reddit.com/r/ClaudeCode/comments/1rbu1nq/i_built_an_mcp_server_that_gives_claude_code_a/
*An MCP server specifically designed to improve Claude Code context retrieval and reduce token waste.*
**R9** (score:76) r/ClaudeAI (2026-02-24)
I built 25 MCP servers so Claude Code stops wasting tokens on terminal formatting
https://www.reddit.com/r/ClaudeAI/comments/1rd8z0d/i_built_25_mcp_servers_so_claude_code_stops/
*Large set of MCP servers aimed at Claude Code usage; about MCP servers returning structured data.*
**R4** (score:75) r/ClaudeCode (2026-02-22)
We 3x'd our team's Claude Code skill usage in 2 weeks — here's how
https://www.reddit.com/r/ClaudeCode/comments/1rbr5t7/we_3xd_our_teams_claude_code_skill_usage_in_2/
*Team-level discussion of increasing Claude Code skill adoption; mentions syncing skills and MCP configs.*
**R8** (score:72) r/ClaudeAI (2026-02-19)
I used Claude Code to build an MCP proxy server that gives it safe(r) access to my email. Here's what I learned about the security challenges
https://www.reddit.com/r/ClaudeAI/comments/1r99zbv/i_used_claude_code_to_build_an_mcp_proxy_server/
*MCP server project built for/with Claude Code; discusses MCP server design and security tradeoffs.*
**R3** (score:72) r/ClaudeCode (2026-02-18)
Self-improvement Loop: My favorite Claude Code Skill
https://www.reddit.com/r/ClaudeCode/comments/1r89084/selfimprovement_loop_my_favorite_claude_code_skill/
*Focused on a concrete Claude Code skill (“wrap-up”) and how skills are used in real sessions.*
**R5** (score:65) r/ClaudeCode (2026-02-10)
I built 12 SEO skills for Claude Code (open source)
https://www.reddit.com/r/ClaudeCode/comments/1r0l549/i_built_12_seo_skills_for_claude_code_open_source/
*Showcase of multiple Claude Code skills and how they run via slash commands/subagents.*
**R6** (score:57) r/ClaudeCode (2026-02-02)
[Skill Viewer] Built a Chrome extension to view Claude Code skills on GitHub - seeking feedback
https://www.reddit.com/r/ClaudeCode/comments/1qtq7yr/skill_viewer_built_a_chrome_extension_to_view/
*Tooling around discovering/viewing Claude Code skills; directly about skills ecosystem.*
**R14** (score:43) r/ClaudeCode (date unknown) [date:low]
Difference between Skills and these: Subagents, Claude.MD and slash commands?
https://www.reddit.com/r/ClaudeCode/comments/1o8t6xe/difference_between_skills_and_these_subagents/
*Conceptual thread clarifying what Skills are versus subagents/CLAUDE.md/slash commands (relevant to skills usage).*
### X Posts
**X5** (score:86) @zeeg (2026-02-25) [5likes, 1rt]
@adamwathan Codex has been crushing it for me with implicit skill usage to the point I was shocked
Claude Code I resorted to explicit mentions and Ive been pleasantly surprised by how well Codex ha...
https://x.com/zeeg/status/2026745680195367091
**
**X3** (score:78) @ihtesham2005 (2026-02-25) [6likes]
🚨 Anthropic just open-sourced the exact Skills library their own engineers use internally.
Stop building Claude workflows from scratch.
These are plug-and-play components that work across Claude Cod...
https://x.com/ihtesham2005/status/2026752089473314975
**
**X8** (score:72) @DevTenta (2026-02-25) [4likes]
Day 7 building my first B2C app
Been setting everything up this week. Manually built 5 agents to help me in the early stages and set up the Claude Code skills i'll need for the build.
Also been test...
https://x.com/DevTenta/status/2026742028730527786
**
**X7** (score:64) @JorgeJaramillo (2026-02-25)
@Jompiras Claude code + skills. Muy breve....
https://x.com/JorgeJaramillo/status/2026743135435362649
**
**X4** (score:64) @arpan7sarkar (2026-02-25)
@tom_doerr 135 agents, 35 curated skills, 121 plugins and 6 MCP configs all in one Claude Code toolkit is absolutely insane value 🤯 this is the kind of community effort that makes an AI tool go from g...
https://x.com/arpan7sarkar/status/2026746479369662551
**
**X6** (score:64) @arpan7sarkar (2026-02-25)
@tom_doerr A curated collection of Claude Skills organized by category is exactly what power users have been waiting for 🤩 document skills, code tools, data analysis all in one repo. this is the Claud...
https://x.com/arpan7sarkar/status/2026745559986614335
**
**X2** (score:64) @yasuky (2026-02-25)
Claude CodeのSkillsを作成例から徹底理解する https://t.co/vZTseio2Ii...
https://x.com/yasuky/status/2026754773786226708
**
**X12** (score:64) @zhuoyuan45514 (2026-02-25)
Day 52 (01/21/2026) (Rest Day)
> Go to New York + watch Broadway Show
> Catch up on claude code updates on way back (2hrs)
- Learn difference between skills + MCP, and etc
> Neetcode (1h...
https://x.com/zhuoyuan45514/status/2026733326631923776
**
**X1** (score:64) @matgoldsborough (2026-02-25)
How: I told Claude Code "build me a CRM." Our builder skill generated schemas, skills, server, seed data. I pointed Claude Desktop at it. Contacts, lead scoring, pipeline reviews. All from conversatio...
https://x.com/matgoldsborough/status/2026755742737510749
**
**X9** (score:64) @0x_Kapoor (2026-02-25)
I can build another open claw, or claude bot, or even a messaging app in a nice prompt and although having engineering skills, I can push the code on the public repo and secure it even completely and ...
https://x.com/0x_Kapoor/status/2026738663321907214
**
**X10** (score:56) @ghumare64 (2026-02-25) [1likes]
1. I use https://t.co/NtFYJEiFs9 inspired by @bcherny
2. I use https://t.co/EwnmyWNFqn to sync skills and scan skills from the marketplace
3. I chat with claude code 4-5 times and once I am satisifed...
https://x.com/ghumare64/status/2026736176695246966
**
**X11** (score:56) @hamen (2026-02-25) [1likes]
The 'vibe coding' revolution is forcing a reckoning.
Developers with 15+ years experience are either embracing AI to expand their reach or watching their expertise become as valuable as COBOL skills....
https://x.com/hamen/status/2026734075243790396
**
### YouTube Videos
**X8afcX2s2Mo** (score:69) Grace Leung (2026-02-21) [47,512 views, 1,900 likes] [also on: HN]
Claude Skills: Build Your First AI Marketing Team in 16 Minutes (Claude Code)
https://www.youtube.com/watch?v=X8afcX2s2Mo
Transcript: Every marketer I know is stretch themed. Too many channels, too many deliverables, never enough time, whether you're running a team or doing it all yourself. And that's why I'm so obsessed with clock ...
*YouTube: Claude Skills: Build Your First AI Marketing Team in 16 Minu*
**0J2_YGuNrDo** (score:66) Grace Leung (2025-12-16) [155,806 views, 4,760 likes]
Claude Code just Built me an AI Agent Team (Claude Code + Skills + MCP)
https://www.youtube.com/watch?v=0J2_YGuNrDo
Transcript: I use clot more than any other AI but even I dismiss Clark as just for developers and I was wrong after using myself I am completely so and this is too powerful to ignore if you want to use AI to buil...
*YouTube: Claude Code just Built me an AI Agent Team (Claude Code + Sk*
**Gqh_KdHP1Xk** (score:61) Robin Ebers (2025-08-21) [90,281 views, 2,719 likes]
8 MCP Servers That Make Claude Code 10x Better
https://www.youtube.com/watch?v=Gqh_KdHP1Xk
Transcript: Over 90% of all MCP servers are complete overhyped garbage. But some of them are not only worth it, they can be complete game changers. And I do not say this lightly. So after testing over 100 of them...
*YouTube: 8 MCP Servers That Make Claude Code 10x Better*
**vIUJ4Hd7be0** (score:54) Leon van Zyl (2026-02-09) [25,538 views, 699 likes]
Claude Code Skills - The Only Tutorial You Need
https://www.youtube.com/watch?v=vIUJ4Hd7be0
*YouTube: Claude Code Skills - The Only Tutorial You Need*
**901VMcZq8X4** (score:47) Sean Kochel (2025-10-21) [44,618 views, 1,356 likes]
These 5 Claude Code Skills Are Your New Unfair Advantage
https://www.youtube.com/watch?v=901VMcZq8X4
*YouTube: These 5 Claude Code Skills Are Your New Unfair Advantage*
**M5CsRj6zSCA** (score:45) Eric Tech (2025-12-12) [11,286 views, 266 likes]
5 MCP Servers That Make Claude Code 10x More Powerful (Full-Stack App Build)
https://www.youtube.com/watch?v=M5CsRj6zSCA
*YouTube: 5 MCP Servers That Make Claude Code 10x More Powerful (Full-*
**l7qVtHpctic** (score:43) Kenny Liao (2026-01-17) [21,765 views, 728 likes]
Claude Code's MCP Problem Just Got Fixed
https://www.youtube.com/watch?v=l7qVtHpctic
*YouTube: Claude Code's MCP Problem Just Got Fixed*
**ZroGqu7GyXM** (score:39) Solo Swift Crafter (2025-10-27) [4,885 views, 98 likes]
Claude Code Skills vs MCP vs Sub Agents: What Works for Solo Devs?
https://www.youtube.com/watch?v=ZroGqu7GyXM
*YouTube: Claude Code Skills vs MCP vs Sub Agents: What Works for Solo*
**jzf7DQa2CAc** (score:36) Matt Kuda (2026-01-19) [2,547 views, 87 likes]
How I Use Claude Code With Skills, MCP, Agents & Plugins
https://www.youtube.com/watch?v=jzf7DQa2CAc
*YouTube: How I Use Claude Code With Skills, MCP, Agents & Plugins*
**qthyl0GCpDo** (score:30) Postman (2025-11-20) [7,067 views, 105 likes]
Claude Skills vs MCP: Whats the Difference and When to Use Each?
https://www.youtube.com/watch?v=qthyl0GCpDo
*YouTube: Claude Skills vs MCP: Whats the Difference and When to Use *
### Hacker News Stories
**HN1** (score:90) hn/cosmoblk (2026-02-21) [10pts, 2cmt]
Show HN: I built a 55K-word email marketing knowledge base and Claude Code skill
https://news.ycombinator.com/item?id=47096335
*HN story about Show HN: I built a 55K-word email marketing knowledge base a*
Insights:
- So it's an AI spambot?
**HN4** (score:74) hn/superamped (2026-02-25) [3pts, 1cmt] [also on: X]
Show HN: AI Marketing Skills for Claude Code
https://news.ycombinator.com/item?id=47154377
*HN story about Show HN: AI Marketing Skills for Claude Code*
**HN12** (score:70) hn/heycesr (2026-02-18) [4pts, 2cmt]
Show HN: Poncho, a general agent harness built for the web
https://news.ycombinator.com/item?id=47061949
*HN story about Show HN: Poncho, a general agent harness built for the web*
Insights:
- I have been trying it and it's very cool!
**HN11** (score:69) hn/gjkim042 (2026-02-24) [1pts, 4cmt]
Show HN: Axon A Kubernetes-native framework for AI coding agents
https://news.ycombinator.com/item?id=47137491
*HN story about Show HN: Axon A Kubernetes-native framework for AI coding *
**HN14** (score:65) hn/alternateman (2026-02-17) [3pts, 2cmt]
Show HN: Turn Claude Code or Codex into proactive, autonomous 24/7 AI agents
https://news.ycombinator.com/item?id=47054100
*HN story about Show HN: Turn Claude Code or Codex into proactive, autonomou*
**HN2** (score:64) hn/hauschildt (2026-02-19) [3pts, 0cmt]
Show HN: Agent skills to build photo, video and design editors on the web
https://news.ycombinator.com/item?id=47073035
*HN story about Show HN: Agent skills to build photo, video and design edito*
**HN8** (score:57) hn/barefootsanders (2026-02-25) [1pts, 0cmt]
Show HN: Upjack Declarative framework for building apps over MCP
https://news.ycombinator.com/item?id=47157331
*HN story about Show HN: Upjack Declarative framework for building apps ov*
**HN7** (score:56) hn/san-techie21 (2026-02-16) [1pts, 1cmt]
Show HN: Gulama Security-first open-source AI agent (OpenClaw alternative)
https://news.ycombinator.com/item?id=47031982
*HN story about Show HN: Gulama Security-first open-source AI agent (OpenC*
**HN15** (score:48) hn/martin-hall (2026-02-20) [1pts, 0cmt]
AI Skills Platform (Stealth) Technical Co-Founder Remote (US) Equity
https://news.ycombinator.com/item?id=47081777
*HN story about AI Skills Platform (Stealth) Technical Co-Founder Remote*
**HN10** (score:47) hn/ClaytheMachine (2026-02-15) [1pts, 0cmt]
Show HN: SkillSandbox Capability-based sandbox for AI agent skills (Rust)
https://news.ycombinator.com/item?id=47027734
*HN story about Show HN: SkillSandbox Capability-based sandbox for AI agen*
**HN6** (score:47) hn/micronink (2026-01-30) [1pts, 2cmt]
Show HN: Indx.sh Directory of AI coding rules, MCP servers, and tool
https://news.ycombinator.com/item?id=46822378
*HN story about Show HN: Indx.sh Directory of AI coding rules, MCP servers*
**HN3** (score:45) hn/paolobietolini (2026-02-07) [1pts, 0cmt]
Show HN: GTM MCP Server- Let AI Manage Your Google Tag Manager Containers
https://news.ycombinator.com/item?id=46922159
*HN story about Show HN: GTM MCP Server- Let AI Manage Your Google Tag Manag*
**HN9** (score:38) hn/digitcatphd (2026-02-03) [1pts, 0cmt]
Show HN: ClawsMarket Marketplace where AI agents discover tools
https://news.ycombinator.com/item?id=46878646
*HN story about Show HN: ClawsMarket Marketplace where AI agents discover *
**HN13** (score:36) hn/aspectrr (2026-02-04) [1pts, 0cmt]
Show HN: Fluid.sh Claude Code for Infrastructure
https://news.ycombinator.com/item?id=46886358
*HN story about Show HN: Fluid.sh Claude Code for Infrastructure*
**HN5** (score:34) hn/victordg (2026-01-27) [1pts, 0cmt]
Claude Code skill for building ChatGPT Apps
https://news.ycombinator.com/item?id=46780766
*HN story about Claude Code skill for building ChatGPT Apps*
---
**Sources:**
✅ Reddit: 10 threads
✅ X: 12 posts
✅ YouTube: 10 videos (3 with transcripts)
✅ HN: 15 stories
⚡ Web: assistant will use WebSearch
@@ -0,0 +1,285 @@
## Research Results: Claude Code skills and MCP servers
**Date Range:** 2026-01-26 to 2026-02-25
**Mode:** both
**OpenAI Model:** gpt-5.2
**xAI Model:** grok-4-1-fast
### Reddit Threads
**R1** (score:78) r/ClaudeCode (2026-02-23)
ClaudeInOne — a full framework for Claude Code, installed in one command
https://www.reddit.com/r/ClaudeCode/comments/1rcbria/claudeinone_a_full_framework_for_claude_code/
*Directly about Claude Code skills (213 skills) and a reusable framework for Claude Code workflows.*
**R10** (score:77) r/ClaudeCode (2026-02-25)
Claude Code works great… until you have too many MCP servers
https://www.reddit.com/r/ClaudeCode/comments/1rehy2x/claude_code_works_great_until_you_have_too_many/
*Scaling issues and architecture discussion when using many MCP servers with Claude Code (mentions gateway).*
**R2** (score:77) r/ClaudeCode (2026-02-22)
I built an MCP server that gives Claude Code a semantic graph of your codebase - went from ~15k tokens of grep output to ~3k of relevant context
https://www.reddit.com/r/ClaudeCode/comments/1rbu1nq/i_built_an_mcp_server_that_gives_claude_code_a/
*An MCP server specifically designed to improve Claude Code context retrieval and reduce token waste.*
**R9** (score:76) r/ClaudeAI (2026-02-24)
I built 25 MCP servers so Claude Code stops wasting tokens on terminal formatting
https://www.reddit.com/r/ClaudeAI/comments/1rd8z0d/i_built_25_mcp_servers_so_claude_code_stops/
*Large set of MCP servers aimed at Claude Code usage; about MCP servers returning structured data.*
**R4** (score:75) r/ClaudeCode (2026-02-22)
We 3x'd our team's Claude Code skill usage in 2 weeks — here's how
https://www.reddit.com/r/ClaudeCode/comments/1rbr5t7/we_3xd_our_teams_claude_code_skill_usage_in_2/
*Team-level discussion of increasing Claude Code skill adoption; mentions syncing skills and MCP configs.*
**R8** (score:72) r/ClaudeAI (2026-02-19)
I used Claude Code to build an MCP proxy server that gives it safe(r) access to my email. Here's what I learned about the security challenges
https://www.reddit.com/r/ClaudeAI/comments/1r99zbv/i_used_claude_code_to_build_an_mcp_proxy_server/
*MCP server project built for/with Claude Code; discusses MCP server design and security tradeoffs.*
**R3** (score:72) r/ClaudeCode (2026-02-18)
Self-improvement Loop: My favorite Claude Code Skill
https://www.reddit.com/r/ClaudeCode/comments/1r89084/selfimprovement_loop_my_favorite_claude_code_skill/
*Focused on a concrete Claude Code skill (“wrap-up”) and how skills are used in real sessions.*
**R5** (score:65) r/ClaudeCode (2026-02-10)
I built 12 SEO skills for Claude Code (open source)
https://www.reddit.com/r/ClaudeCode/comments/1r0l549/i_built_12_seo_skills_for_claude_code_open_source/
*Showcase of multiple Claude Code skills and how they run via slash commands/subagents.*
**R6** (score:57) r/ClaudeCode (2026-02-02)
[Skill Viewer] Built a Chrome extension to view Claude Code skills on GitHub - seeking feedback
https://www.reddit.com/r/ClaudeCode/comments/1qtq7yr/skill_viewer_built_a_chrome_extension_to_view/
*Tooling around discovering/viewing Claude Code skills; directly about skills ecosystem.*
**R14** (score:43) r/ClaudeCode (date unknown) [date:low]
Difference between Skills and these: Subagents, Claude.MD and slash commands?
https://www.reddit.com/r/ClaudeCode/comments/1o8t6xe/difference_between_skills_and_these_subagents/
*Conceptual thread clarifying what Skills are versus subagents/CLAUDE.md/slash commands (relevant to skills usage).*
### X Posts
**X5** (score:86) @zeeg (2026-02-25) [5likes, 1rt]
@adamwathan Codex has been crushing it for me with implicit skill usage to the point I was shocked
Claude Code I resorted to explicit mentions and Ive been pleasantly surprised by how well Codex ha...
https://x.com/zeeg/status/2026745680195367091
**
**X3** (score:78) @ihtesham2005 (2026-02-25) [6likes]
🚨 Anthropic just open-sourced the exact Skills library their own engineers use internally.
Stop building Claude workflows from scratch.
These are plug-and-play components that work across Claude Cod...
https://x.com/ihtesham2005/status/2026752089473314975
**
**X8** (score:72) @DevTenta (2026-02-25) [4likes]
Day 7 building my first B2C app
Been setting everything up this week. Manually built 5 agents to help me in the early stages and set up the Claude Code skills i'll need for the build.
Also been test...
https://x.com/DevTenta/status/2026742028730527786
**
**X7** (score:64) @JorgeJaramillo (2026-02-25)
@Jompiras Claude code + skills. Muy breve....
https://x.com/JorgeJaramillo/status/2026743135435362649
**
**X4** (score:64) @arpan7sarkar (2026-02-25)
@tom_doerr 135 agents, 35 curated skills, 121 plugins and 6 MCP configs all in one Claude Code toolkit is absolutely insane value 🤯 this is the kind of community effort that makes an AI tool go from g...
https://x.com/arpan7sarkar/status/2026746479369662551
**
**X6** (score:64) @arpan7sarkar (2026-02-25)
@tom_doerr A curated collection of Claude Skills organized by category is exactly what power users have been waiting for 🤩 document skills, code tools, data analysis all in one repo. this is the Claud...
https://x.com/arpan7sarkar/status/2026745559986614335
**
**X2** (score:64) @yasuky (2026-02-25)
Claude CodeのSkillsを作成例から徹底理解する https://t.co/vZTseio2Ii...
https://x.com/yasuky/status/2026754773786226708
**
**X12** (score:64) @zhuoyuan45514 (2026-02-25)
Day 52 (01/21/2026) (Rest Day)
> Go to New York + watch Broadway Show
> Catch up on claude code updates on way back (2hrs)
- Learn difference between skills + MCP, and etc
> Neetcode (1h...
https://x.com/zhuoyuan45514/status/2026733326631923776
**
**X1** (score:64) @matgoldsborough (2026-02-25)
How: I told Claude Code "build me a CRM." Our builder skill generated schemas, skills, server, seed data. I pointed Claude Desktop at it. Contacts, lead scoring, pipeline reviews. All from conversatio...
https://x.com/matgoldsborough/status/2026755742737510749
**
**X9** (score:64) @0x_Kapoor (2026-02-25)
I can build another open claw, or claude bot, or even a messaging app in a nice prompt and although having engineering skills, I can push the code on the public repo and secure it even completely and ...
https://x.com/0x_Kapoor/status/2026738663321907214
**
**X10** (score:56) @ghumare64 (2026-02-25) [1likes]
1. I use https://t.co/NtFYJEiFs9 inspired by @bcherny
2. I use https://t.co/EwnmyWNFqn to sync skills and scan skills from the marketplace
3. I chat with claude code 4-5 times and once I am satisifed...
https://x.com/ghumare64/status/2026736176695246966
**
**X11** (score:56) @hamen (2026-02-25) [1likes]
The 'vibe coding' revolution is forcing a reckoning.
Developers with 15+ years experience are either embracing AI to expand their reach or watching their expertise become as valuable as COBOL skills....
https://x.com/hamen/status/2026734075243790396
**
### YouTube Videos
**X8afcX2s2Mo** (score:69) Grace Leung (2026-02-21) [47,512 views, 1,900 likes]
Claude Skills: Build Your First AI Marketing Team in 16 Minutes (Claude Code)
https://www.youtube.com/watch?v=X8afcX2s2Mo
Transcript: Every marketer I know is stretch themed. Too many channels, too many deliverables, never enough time, whether you're running a team or doing it all yourself. And that's why I'm so obsessed with clock ...
*YouTube: Claude Skills: Build Your First AI Marketing Team in 16 Minu*
**0J2_YGuNrDo** (score:66) Grace Leung (2025-12-16) [155,806 views, 4,760 likes]
Claude Code just Built me an AI Agent Team (Claude Code + Skills + MCP)
https://www.youtube.com/watch?v=0J2_YGuNrDo
Transcript: I use clot more than any other AI but even I dismiss Clark as just for developers and I was wrong after using myself I am completely so and this is too powerful to ignore if you want to use AI to buil...
*YouTube: Claude Code just Built me an AI Agent Team (Claude Code + Sk*
**Gqh_KdHP1Xk** (score:61) Robin Ebers (2025-08-21) [90,281 views, 2,719 likes]
8 MCP Servers That Make Claude Code 10x Better
https://www.youtube.com/watch?v=Gqh_KdHP1Xk
Transcript: Over 90% of all MCP servers are complete overhyped garbage. But some of them are not only worth it, they can be complete game changers. And I do not say this lightly. So after testing over 100 of them...
*YouTube: 8 MCP Servers That Make Claude Code 10x Better*
**vIUJ4Hd7be0** (score:54) Leon van Zyl (2026-02-09) [25,538 views, 699 likes]
Claude Code Skills - The Only Tutorial You Need
https://www.youtube.com/watch?v=vIUJ4Hd7be0
*YouTube: Claude Code Skills - The Only Tutorial You Need*
**901VMcZq8X4** (score:47) Sean Kochel (2025-10-21) [44,618 views, 1,356 likes]
These 5 Claude Code Skills Are Your New Unfair Advantage
https://www.youtube.com/watch?v=901VMcZq8X4
*YouTube: These 5 Claude Code Skills Are Your New Unfair Advantage*
**M5CsRj6zSCA** (score:45) Eric Tech (2025-12-12) [11,286 views, 266 likes]
5 MCP Servers That Make Claude Code 10x More Powerful (Full-Stack App Build)
https://www.youtube.com/watch?v=M5CsRj6zSCA
*YouTube: 5 MCP Servers That Make Claude Code 10x More Powerful (Full-*
**l7qVtHpctic** (score:43) Kenny Liao (2026-01-17) [21,765 views, 728 likes]
Claude Code's MCP Problem Just Got Fixed
https://www.youtube.com/watch?v=l7qVtHpctic
*YouTube: Claude Code's MCP Problem Just Got Fixed*
**ZroGqu7GyXM** (score:39) Solo Swift Crafter (2025-10-27) [4,885 views, 98 likes]
Claude Code Skills vs MCP vs Sub Agents: What Works for Solo Devs?
https://www.youtube.com/watch?v=ZroGqu7GyXM
*YouTube: Claude Code Skills vs MCP vs Sub Agents: What Works for Solo*
**jzf7DQa2CAc** (score:36) Matt Kuda (2026-01-19) [2,547 views, 87 likes]
How I Use Claude Code With Skills, MCP, Agents & Plugins
https://www.youtube.com/watch?v=jzf7DQa2CAc
*YouTube: How I Use Claude Code With Skills, MCP, Agents & Plugins*
**qthyl0GCpDo** (score:30) Postman (2025-11-20) [7,067 views, 105 likes]
Claude Skills vs MCP: Whats the Difference and When to Use Each?
https://www.youtube.com/watch?v=qthyl0GCpDo
*YouTube: Claude Skills vs MCP: Whats the Difference and When to Use *
### Hacker News Stories
**HN1** (score:90) hn/cosmoblk (2026-02-21) [10pts, 2cmt]
Show HN: I built a 55K-word email marketing knowledge base and Claude Code skill
https://news.ycombinator.com/item?id=47096335
*HN story about Show HN: I built a 55K-word email marketing knowledge base a*
Insights:
- So it's an AI spambot?
**HN4** (score:74) hn/superamped (2026-02-25) [3pts, 1cmt]
Show HN: AI Marketing Skills for Claude Code
https://news.ycombinator.com/item?id=47154377
*HN story about Show HN: AI Marketing Skills for Claude Code*
**HN12** (score:70) hn/heycesr (2026-02-18) [4pts, 2cmt]
Show HN: Poncho, a general agent harness built for the web
https://news.ycombinator.com/item?id=47061949
*HN story about Show HN: Poncho, a general agent harness built for the web*
Insights:
- I have been trying it and it's very cool!
**HN11** (score:69) hn/gjkim042 (2026-02-24) [1pts, 4cmt]
Show HN: Axon A Kubernetes-native framework for AI coding agents
https://news.ycombinator.com/item?id=47137491
*HN story about Show HN: Axon A Kubernetes-native framework for AI coding *
**HN14** (score:65) hn/alternateman (2026-02-17) [3pts, 2cmt]
Show HN: Turn Claude Code or Codex into proactive, autonomous 24/7 AI agents
https://news.ycombinator.com/item?id=47054100
*HN story about Show HN: Turn Claude Code or Codex into proactive, autonomou*
**HN2** (score:64) hn/hauschildt (2026-02-19) [3pts, 0cmt]
Show HN: Agent skills to build photo, video and design editors on the web
https://news.ycombinator.com/item?id=47073035
*HN story about Show HN: Agent skills to build photo, video and design edito*
**HN8** (score:57) hn/barefootsanders (2026-02-25) [1pts, 0cmt]
Show HN: Upjack Declarative framework for building apps over MCP
https://news.ycombinator.com/item?id=47157331
*HN story about Show HN: Upjack Declarative framework for building apps ov*
**HN7** (score:56) hn/san-techie21 (2026-02-16) [1pts, 1cmt]
Show HN: Gulama Security-first open-source AI agent (OpenClaw alternative)
https://news.ycombinator.com/item?id=47031982
*HN story about Show HN: Gulama Security-first open-source AI agent (OpenC*
**HN15** (score:48) hn/martin-hall (2026-02-20) [1pts, 0cmt]
AI Skills Platform (Stealth) Technical Co-Founder Remote (US) Equity
https://news.ycombinator.com/item?id=47081777
*HN story about AI Skills Platform (Stealth) Technical Co-Founder Remote*
**HN10** (score:47) hn/ClaytheMachine (2026-02-15) [1pts, 0cmt]
Show HN: SkillSandbox Capability-based sandbox for AI agent skills (Rust)
https://news.ycombinator.com/item?id=47027734
*HN story about Show HN: SkillSandbox Capability-based sandbox for AI agen*
**HN6** (score:47) hn/micronink (2026-01-30) [1pts, 2cmt]
Show HN: Indx.sh Directory of AI coding rules, MCP servers, and tool
https://news.ycombinator.com/item?id=46822378
*HN story about Show HN: Indx.sh Directory of AI coding rules, MCP servers*
**HN3** (score:45) hn/paolobietolini (2026-02-07) [1pts, 0cmt]
Show HN: GTM MCP Server- Let AI Manage Your Google Tag Manager Containers
https://news.ycombinator.com/item?id=46922159
*HN story about Show HN: GTM MCP Server- Let AI Manage Your Google Tag Manag*
**HN9** (score:38) hn/digitcatphd (2026-02-03) [1pts, 0cmt]
Show HN: ClawsMarket Marketplace where AI agents discover tools
https://news.ycombinator.com/item?id=46878646
*HN story about Show HN: ClawsMarket Marketplace where AI agents discover *
**HN13** (score:36) hn/aspectrr (2026-02-04) [1pts, 0cmt]
Show HN: Fluid.sh Claude Code for Infrastructure
https://news.ycombinator.com/item?id=46886358
*HN story about Show HN: Fluid.sh Claude Code for Infrastructure*
**HN5** (score:34) hn/victordg (2026-01-27) [1pts, 0cmt]
Claude Code skill for building ChatGPT Apps
https://news.ycombinator.com/item?id=46780766
*HN story about Claude Code skill for building ChatGPT Apps*
---
**Sources:**
✅ Reddit: 10 threads
✅ X: 12 posts
✅ YouTube: 10 videos (3 with transcripts)
✅ HN: 15 stories
⚡ Web: assistant will use WebSearch
@@ -0,0 +1,316 @@
## Research Results: Seedance AI video generation
**Date Range:** 2026-01-26 to 2026-02-25
**Mode:** both
**OpenAI Model:** gpt-5.2
**xAI Model:** grok-4-1-fast
### Reddit Threads
**R23** (score:77) r/Seedance_AI (2026-02-25)
Looking for a real Seedance website that actually works (not scams, SJINN is too expensive)
https://www.reddit.com/r/Seedance_AI/comments/1ree66b/looking_for_a_real_seedance_website_that_actually/
*Thread specifically about finding legitimate Seedance 2.0 access for video generation and pricing.*
**R22** (score:75) r/seedance (2026-02-25)
Seedance 2.0 now live in CapCut desktop and API access available, details below
https://www.reddit.com/r/seedance/comments/1reoakv/seedance_20_now_live_in_capcut_desktop_and_api/
*Direct discussion about Seedance 2.0 availability in CapCut and API-related details.*
**R19** (score:75) r/AITalkers (2026-02-24)
Is there an official way to create content using Seedance 2.0?
https://www.reddit.com/r/AITalkers/comments/1rd1rhy/is_there_an_official_way_to_create_content_using/
*Thread asking where to access Seedance 2.0 legitimately for video generation (avoiding scams).*
**R21** (score:75) r/generativeAI (2026-02-24)
Official website for creating content with Seedance 2.0?
https://www.reddit.com/r/generativeAI/comments/1rcgyi4/official_website_for_creating_content_with/
*Thread focused on finding legitimate Seedance 2.0 access for generating content (and warning about scams).*
**R14** (score:75) r/generativeAI (2026-02-22)
This is terrifying!! Seedance 2.0 just generated a 1-minute film with ZERO editing — the entire film industry should be worried
https://www.reddit.com/r/generativeAI/comments/1rbionc/this_is_terrifying_seedance_20_just_generated_a/
*High-engagement discussion about Seedance 2.0 video generation quality and multi-shot coherence claims.*
**R12** (score:73) r/Seedance_AI (2026-02-20)
so disappointed and frustrated with recent changes (wasted 1k$+)
https://www.reddit.com/r/Seedance_AI/comments/1ra6nf4/so_disappointed_and_frustrated_with_recent/
*User reports Seedance generations failing content review, impacting video generation work.*
**R16** (score:72) r/Seedance_AI (2026-02-23)
Help! I need to use seedance or jimeng video function
https://www.reddit.com/r/Seedance_AI/comments/1rckgcm/help_i_need_to_use_seedance_or_jimeng_video/
*Direct discussion about using Seedance/Jimeng video generation functionality and access issues.*
**R17** (score:71) r/Seedance_AI (2026-02-23)
Is Seedance 2.0 actually delayed?
https://www.reddit.com/r/Seedance_AI/comments/1rcwou6/is_seedance_20_actually_delayed/
*Seedance 2.0 release/access timing discussion connected to guardrails and availability outside China.*
**R20** (score:69) r/Seedance_AI (2026-02-24)
Selfie Situation • Seedance 2.0 • Third-party API by useapi.net
https://www.reddit.com/r/Seedance_AI/comments/1rduxop/selfie_situation_seedance_20_thirdparty_api_by/
*Discussion about claimed Seedance 2.0 API access and whether outputs are really from Seedance; relevant to usage/access.*
**R15** (score:69) r/AIGuild (2026-02-23)
ByteDance Faces Hollywood Backlash Over Seedance 2.0
https://www.reddit.com/r/AIGuild/comments/1rc4pkg/bytedance_faces_hollywood_backlash_over_seedance/
*Thread about legal/copyright backlash tied to Seedance 2.0 and implications for access/usage.*
**R11** (score:69) r/Seedance_AI (2026-02-20)
Seedance 2.0 API launch delayed because of deepfake/copyright concerns
https://www.reddit.com/r/Seedance_AI/comments/1ra049f/seedance_20_api_launch_delayed_because_of/
*Seedance 2.0 API / rollout thread related to deepfake/copyright guardrails affecting video generation access.*
**R10** (score:67) r/u_Illustrious-One7744 (2026-02-19)
I tested Seedance 2.0 and here's what actually worked
https://www.reddit.com/r/u_Illustrious-One7744/comments/1r8zipa/i_tested_seedance_20_and_heres_what_actually/
*Hands-on workflow notes about generating videos with Seedance 2.0 (consistency, references, shot planning).*
**R13** (score:66) r/AI_Agents (2026-02-21)
Seedance 2.0 is impressive. Its still not a production workflow.
https://www.reddit.com/r/AI_Agents/comments/1rawxiw/seedance_20_is_impressive_its_still_not_a/
*Discussion about practical limitations of Seedance 2.0 for longer/structured video production pipelines.*
**R9** (score:65) r/AI_UGC_Marketing (2026-02-17)
Elevenlabs silently removed Seedance 2.0 after SAG-AFTRA incident, cant create UGC style video
https://www.reddit.com/r/AI_UGC_Marketing/comments/1r70942/elevenlabs_silently_removed_seedance_20_after/
*Discussion about Seedance 2.0 availability/removal in a video generation workflow context.*
**R4** (score:64) r/HiggsfieldAI (2026-02-10)
The censorship just ruined Seedance 2.0
https://www.reddit.com/r/HiggsfieldAI/comments/1r1barb/
*Discussion focused on Seedance 2.0 video generation restrictions/guardrails impacting what can be generated.*
### X Posts
**X9** (score:86) @HBCoop_ (2026-02-25) [9likes]
First Seedance 2.0 Test!
Seedance 5.0 Lite @krea_ai → Seedance 2.0 @capcutapp
Prompt: Close-up on her hands gripping the paintbrush, knuckles white, paint dripping down her wrist. Shallow depth of ...
https://x.com/HBCoop_/status/2026748738354450919
**
**X12** (score:77) @Noor_ul_ain43 (2026-02-25) [5likes]
Goku vs Broly , EPIC Full Battle!
Witness the ultimate Saiyan showdown recreated with AI power. Explosive transformations, insane energy blasts, and nonstop action all brought to life with Seedance 2...
https://x.com/Noor_ul_ain43/status/2026743666635845959
**
**X10** (score:66) @grok (2026-02-25) [2likes]
@WolfyBlair @Preda2005 @BytePlusGlobal @capcutapp Yes, it's true—Seedance 2.0 is now live in CapCut (desktop &amp; mobile).
See it in the AI video tools: https://t.co/K3gwCgUSyb
Just update the ap...
https://x.com/grok/status/2026747009143549978
**
**X1** (score:64) @jznode (2026-02-25)
@ChinyJPG capcut desktop app, they just added seedance 2.0 today. no chinese phone number needed, works globally. download the desktop version, look for the AI video generation option. runs about $2 p...
https://x.com/jznode/status/2026755966545404015
**
**X5** (score:64) @Yousaf_340 (2026-02-25)
@ProperPrompter Yes! Seedance 2.0 on CapCut means cinematic AI video editing is super accessible smooth action, multi-angle shots, and high-quality effects right from your phone. 🎬🔥...
https://x.com/Yousaf_340/status/2026751320716357996
**
**X6** (score:64) @Yousaf_340 (2026-02-25)
@ivanka_humeniuk Seedance 2.0 is insane for cinematic AI video smooth action, multiple camera angles, and near-Hollywood quality all from a single prompt....
https://x.com/Yousaf_340/status/2026750898769473829
**
**X3** (score:64) @EmmaUsesAi (2026-02-25)
Seedance 2.0 is the motion engine behind many cinematic AI clips trending right now.
Its now native inside NemoVideo.
You can:
- Identify proven formats
- Analyze what drives retention
- Turn an id...
https://x.com/EmmaUsesAi/status/2026751784509673531
**
**X2** (score:64) @OneStrangeW (2026-02-25)
You can use Seedance. If Seedance 2.0 hasn't launch yet, the prior version is great, and stick pretty well to the prompt. Of course the video agent must be well trained. 🙂Also, you can offer SORA for ...
https://x.com/OneStrangeW/status/2026755320362709093
**
**X11** (score:64) @WyldeChyldeRec (2026-02-25)
🚨Phishing Scam!
Watch for emails titled:
[Seedance &amp; Wan AI] Unrestricted generation with Grok Imagine video added
This is not real. We don't have a Seedance account, and the links are not offi...
https://x.com/WyldeChyldeRec/status/2026743867224240149
**
**X7** (score:56) @La_DeCrypt (2026-02-25) [1likes]
- Kling (https://t.co/WGphQsdLf1)
- Seedance 2.0 (https://t.co/A8UzLTRGNo)
☞ AI-powered video editing:
- Descript (https://t.co/q4axNEjDzt)
- OpusClip (https://t.co/5XPn4EPH6u)
- Submagic (https:/...
https://x.com/La_DeCrypt/status/2026750376687394884
**
**X8** (score:56) @TferThomas (2026-02-25) [1likes]
Seedance 2.0 might be gen AI videos next big hope, but its still slop https://t.co/kT1baOYJQk #AI...
https://x.com/TferThomas/status/2026749218224746609
**
### YouTube Videos
**F1kWxdfiBNE** (score:75) AI Filmmaking Academy (2026-02-22) [40,982 views, 1,088 likes]
Seedance 2.0 Claims the AI Video Throne!
https://www.youtube.com/watch?v=F1kWxdfiBNE
*YouTube: Seedance 2.0 Claims the AI Video Throne!*
**_o2MuUX9UYg** (score:75) Theoretically Media (2026-02-09) [199,908 views, 4,986 likes]
Seedance 2.0 Claims the AI Video Throne!
https://www.youtube.com/watch?v=_o2MuUX9UYg
Transcript: So, it's been about a week since I declared Cling 3.0 the new benchmark for state-of-the-art AI video. And well, I mean, it's been a week, and that basically equals about 3 months in AI time. So, yes,...
*YouTube: Seedance 2.0 Claims the AI Video Throne!*
**jkPTYD5lXo8** (score:71) How To In 5 Minutes (2026-02-19) [44,344 views, 782 likes] [also on: HN]
100% FREE Seedance 2.0 AI Video Generator: How to Use It WORLDWIDE
https://www.youtube.com/watch?v=jkPTYD5lXo8
*YouTube: 100% FREE Seedance 2.0 AI Video Generator: How to Use It WO*
**W_lxyDFDZt4** (score:71) WealthWise (2026-02-12) [126,599 views, 1,204 likes] [also on: HN]
Seedance 2.0: The New Best AI Video Generator | Sora 2 Destroyed
https://www.youtube.com/watch?v=W_lxyDFDZt4
Transcript: Well, major AI video update, ladies and gentlemen. Seance 2.0 is right around the corner. And let me tell you guys, this is something I have never seen before. Just take a look at some of the videos g...
*YouTube: Seedance 2.0: The New Best AI Video Generator | Sora 2 Destr*
**R1zl92NhCfE** (score:66) Ai Lockup (2026-02-16) [32,699 views, 591 likes] [also on: HN]
Seedance 2.0 How To Use and Become a Pro AI Film Maker With This AI Video Generator
https://www.youtube.com/watch?v=R1zl92NhCfE
*YouTube: Seedance 2.0 How To Use and Become a Pro AI Film Maker With *
**G1Ad4a8sdJU** (score:64) Benjis AI Playground (2026-02-14) [38,581 views, 419 likes]
SeeDance 2.0: The Next Level of AI Video — And What It Means for Local AI Users?
https://www.youtube.com/watch?v=G1Ad4a8sdJU
*YouTube: SeeDance 2.0: The Next Level of AI Video — And What It Means*
**61ThJGqwHsI** (score:59) xCreate (2026-02-11) [4,854 views, 86 likes] [also on: HN]
Ultimate AI Video Generation - Seedance 2.0 PREVIEW
https://www.youtube.com/watch?v=61ThJGqwHsI
*YouTube: Ultimate AI Video Generation - Seedance 2.0 PREVIEW*
**5s2l68SrJP4** (score:58) Airt (2026-02-11) [77,744 views, 1,733 likes]
100+ Seedance 2.0 AI Videos The New King?
https://www.youtube.com/watch?v=5s2l68SrJP4
Transcript: That's the good stuff. And that's a wrap. [screaming] A lot of people asking how the roommate situation is going. He's chill, but there are things. Fridge is consecrated. Tastes like communion wafers....
*YouTube: 100+ Seedance 2.0 AI Videos The New King?*
**n625xVounGM** (score:50) John Savage AI (2026-02-23) [7,194 views, 126 likes]
How To Generate FREE AI Seedance 2.0 Videos (Access Worldwide)
https://www.youtube.com/watch?v=n625xVounGM
*YouTube: How To Generate FREE AI Seedance 2.0 Videos (Access Worldwid*
**kJ0NAVmd4f4** (score:36) Rogue Cell Pictures (2026-02-25) [1,594 views, 151 likes]
Seedance 2.0 Changes Filmmaking Forever | New Original Series
https://www.youtube.com/watch?v=kJ0NAVmd4f4
*YouTube: Seedance 2.0 Changes Filmmaking Forever | New Original Serie*
### Hacker News Stories
**HN8** (score:75) hn/Alisaqqt (2026-02-09) [7pts, 7cmt]
Seedance 2.0 preview: The best video model of 2026, outperforming Sora 2
https://news.ycombinator.com/item?id=46940720
*HN story about Seedance 2.0 preview: The best video model of 2026, outperfo*
Insights:
- API is not available now.
- API will be available on Atlas Cloud on Feb 24.
- Seedance 2.0 and Seedream 5.0 API will be available on Atlas Cloud on Feb 24.
**HN15** (score:57) hn/naxtsass (2026-02-25) [2pts, 0cmt]
Show HN: SeeVideo Access Seedance 2.0 and Kling 3.0 without a subscription
https://news.ycombinator.com/item?id=47153236
*HN story about Show HN: SeeVideo Access Seedance 2.0 and Kling 3.0 withou*
**HN6** (score:57) hn/howardV (2026-02-15) [3pts, 0cmt]
Seedance 2.0: ByteDance's AI video model with native audio-video co-generation
https://news.ycombinator.com/item?id=47022290
*HN story about Seedance 2.0: ByteDance's AI video model with native audio-v*
**HN5** (score:52) hn/jrran086 (2026-02-17) [1pts, 0cmt] [also on: Reddit]
Seedance 2 Video Generator
https://news.ycombinator.com/item?id=47046956
*HN story about Seedance 2 Video Generator*
**HN3** (score:52) hn/xbaicai (2026-02-09) [1pts, 1cmt]
Seedance 2.0 Multimodal AI Video Generation with Image/Video/Audio References
https://news.ycombinator.com/item?id=46944030
*HN story about Seedance 2.0 Multimodal AI Video Generation with Image/Vid*
**HN1** (score:51) hn/xuyanmei (2026-02-13) [1pts, 0cmt]
Show HN: Seedance AShow HN: Seedance AI Video Generation (Next.js, Drizzle)
https://news.ycombinator.com/item?id=46999394
*HN story about Show HN: Seedance AShow HN: Seedance AI Video Generation (Ne*
**HN12** (score:49) hn/RyanMu (2026-02-07) [2pts, 1cmt]
Seedance2 multi-shot AI video generation
https://news.ycombinator.com/item?id=46924992
*HN story about Seedance2 multi-shot AI video generation*
Insights:
- ve been experimenting with AI video tools for a while, but most of them generate isolated clips that fall apart when you try to build an actual narrative
**HN11** (score:48) hn/xuyanmei (2026-02-17) [1pts, 0cmt]
Show HN: Seedance3AI a web app for text-to-video, image-to-video
https://news.ycombinator.com/item?id=47046989
*HN story about Show HN: Seedance3AI a web app for text-to-video, image-to*
**HN2** (score:47) hn/littlepp (2026-02-09) [1pts, 0cmt]
Discussion: Seedance-style AI video generation workflows
https://news.ycombinator.com/item?id=46942781
*HN story about Discussion: Seedance-style AI video generation workflows*
**HN13** (score:44) hn/thomaskiko (2026-02-13) [1pts, 0cmt]
Show HN: AI-powered video creation web app
https://news.ycombinator.com/item?id=47002386
*HN story about Show HN: AI-powered video creation web app*
**HN9** (score:43) hn/TurnItOffAndOn0 (2026-02-09) [1pts, 0cmt]
Show HN: AI Seedance 2 Solving the "jump-cut" problem in AI video
https://news.ycombinator.com/item?id=46946280
*HN story about Show HN: AI Seedance 2 Solving the "jump-cut" problem in A*
**HN7** (score:43) hn/dallen97 (2026-02-08) [1pts, 0cmt] [also on: Reddit]
Show HN: Seedance 2.0 AI video generator for creators and ecommerce
https://news.ycombinator.com/item?id=46930149
*HN story about Show HN: Seedance 2.0 AI video generator for creators and ec*
**HN10** (score:42) hn/thenextechtrade (2026-02-09) [1pts, 0cmt]
Show HN: Seedance 2.0 Native audio-visual sync video model
https://news.ycombinator.com/item?id=46943172
*HN story about Show HN: Seedance 2.0 Native audio-visual sync video model*
**HN14** (score:41) hn/echoadam (2026-02-10) [1pts, 0cmt]
Show HN: Seedance2 Stop "prompt guessing" and start directing AI video
https://news.ycombinator.com/item?id=46956546
*HN story about Show HN: Seedance2 Stop "prompt guessing" and start direct*
**HN4** (score:35) hn/Zach_HE (2026-01-27) [1pts, 0cmt] [also on: Reddit, Web]
Show HN: Seedance 2.0 Pro AI Video Generator
https://news.ycombinator.com/item?id=46774950
*HN story about Show HN: Seedance 2.0 Pro AI Video Generator*
---
**Sources:**
✅ Reddit: 19 threads
✅ X: 11 posts
✅ YouTube: 10 videos (3 with transcripts)
✅ HN: 15 stories
⚡ Web: assistant will use WebSearch
@@ -0,0 +1,316 @@
## Research Results: Seedance AI video generation
**Date Range:** 2026-01-26 to 2026-02-25
**Mode:** both
**OpenAI Model:** gpt-5.2
**xAI Model:** grok-4-1-fast
### Reddit Threads
**R23** (score:77) r/Seedance_AI (2026-02-25)
Looking for a real Seedance website that actually works (not scams, SJINN is too expensive)
https://www.reddit.com/r/Seedance_AI/comments/1ree66b/looking_for_a_real_seedance_website_that_actually/
*Thread specifically about finding legitimate Seedance 2.0 access for video generation and pricing.*
**R22** (score:75) r/seedance (2026-02-25)
Seedance 2.0 now live in CapCut desktop and API access available, details below
https://www.reddit.com/r/seedance/comments/1reoakv/seedance_20_now_live_in_capcut_desktop_and_api/
*Direct discussion about Seedance 2.0 availability in CapCut and API-related details.*
**R19** (score:75) r/AITalkers (2026-02-24)
Is there an official way to create content using Seedance 2.0?
https://www.reddit.com/r/AITalkers/comments/1rd1rhy/is_there_an_official_way_to_create_content_using/
*Thread asking where to access Seedance 2.0 legitimately for video generation (avoiding scams).*
**R21** (score:75) r/generativeAI (2026-02-24)
Official website for creating content with Seedance 2.0?
https://www.reddit.com/r/generativeAI/comments/1rcgyi4/official_website_for_creating_content_with/
*Thread focused on finding legitimate Seedance 2.0 access for generating content (and warning about scams).*
**R14** (score:75) r/generativeAI (2026-02-22)
This is terrifying!! Seedance 2.0 just generated a 1-minute film with ZERO editing — the entire film industry should be worried
https://www.reddit.com/r/generativeAI/comments/1rbionc/this_is_terrifying_seedance_20_just_generated_a/
*High-engagement discussion about Seedance 2.0 video generation quality and multi-shot coherence claims.*
**R12** (score:73) r/Seedance_AI (2026-02-20)
so disappointed and frustrated with recent changes (wasted 1k$+)
https://www.reddit.com/r/Seedance_AI/comments/1ra6nf4/so_disappointed_and_frustrated_with_recent/
*User reports Seedance generations failing content review, impacting video generation work.*
**R16** (score:72) r/Seedance_AI (2026-02-23)
Help! I need to use seedance or jimeng video function
https://www.reddit.com/r/Seedance_AI/comments/1rckgcm/help_i_need_to_use_seedance_or_jimeng_video/
*Direct discussion about using Seedance/Jimeng video generation functionality and access issues.*
**R17** (score:71) r/Seedance_AI (2026-02-23)
Is Seedance 2.0 actually delayed?
https://www.reddit.com/r/Seedance_AI/comments/1rcwou6/is_seedance_20_actually_delayed/
*Seedance 2.0 release/access timing discussion connected to guardrails and availability outside China.*
**R20** (score:69) r/Seedance_AI (2026-02-24)
Selfie Situation • Seedance 2.0 • Third-party API by useapi.net
https://www.reddit.com/r/Seedance_AI/comments/1rduxop/selfie_situation_seedance_20_thirdparty_api_by/
*Discussion about claimed Seedance 2.0 API access and whether outputs are really from Seedance; relevant to usage/access.*
**R15** (score:69) r/AIGuild (2026-02-23)
ByteDance Faces Hollywood Backlash Over Seedance 2.0
https://www.reddit.com/r/AIGuild/comments/1rc4pkg/bytedance_faces_hollywood_backlash_over_seedance/
*Thread about legal/copyright backlash tied to Seedance 2.0 and implications for access/usage.*
**R11** (score:69) r/Seedance_AI (2026-02-20)
Seedance 2.0 API launch delayed because of deepfake/copyright concerns
https://www.reddit.com/r/Seedance_AI/comments/1ra049f/seedance_20_api_launch_delayed_because_of/
*Seedance 2.0 API / rollout thread related to deepfake/copyright guardrails affecting video generation access.*
**R10** (score:67) r/u_Illustrious-One7744 (2026-02-19)
I tested Seedance 2.0 and here's what actually worked
https://www.reddit.com/r/u_Illustrious-One7744/comments/1r8zipa/i_tested_seedance_20_and_heres_what_actually/
*Hands-on workflow notes about generating videos with Seedance 2.0 (consistency, references, shot planning).*
**R13** (score:66) r/AI_Agents (2026-02-21)
Seedance 2.0 is impressive. Its still not a production workflow.
https://www.reddit.com/r/AI_Agents/comments/1rawxiw/seedance_20_is_impressive_its_still_not_a/
*Discussion about practical limitations of Seedance 2.0 for longer/structured video production pipelines.*
**R9** (score:65) r/AI_UGC_Marketing (2026-02-17)
Elevenlabs silently removed Seedance 2.0 after SAG-AFTRA incident, cant create UGC style video
https://www.reddit.com/r/AI_UGC_Marketing/comments/1r70942/elevenlabs_silently_removed_seedance_20_after/
*Discussion about Seedance 2.0 availability/removal in a video generation workflow context.*
**R4** (score:64) r/HiggsfieldAI (2026-02-10)
The censorship just ruined Seedance 2.0
https://www.reddit.com/r/HiggsfieldAI/comments/1r1barb/
*Discussion focused on Seedance 2.0 video generation restrictions/guardrails impacting what can be generated.*
### X Posts
**X9** (score:86) @HBCoop_ (2026-02-25) [9likes]
First Seedance 2.0 Test!
Seedance 5.0 Lite @krea_ai → Seedance 2.0 @capcutapp
Prompt: Close-up on her hands gripping the paintbrush, knuckles white, paint dripping down her wrist. Shallow depth of ...
https://x.com/HBCoop_/status/2026748738354450919
**
**X12** (score:77) @Noor_ul_ain43 (2026-02-25) [5likes]
Goku vs Broly , EPIC Full Battle!
Witness the ultimate Saiyan showdown recreated with AI power. Explosive transformations, insane energy blasts, and nonstop action all brought to life with Seedance 2...
https://x.com/Noor_ul_ain43/status/2026743666635845959
**
**X10** (score:66) @grok (2026-02-25) [2likes]
@WolfyBlair @Preda2005 @BytePlusGlobal @capcutapp Yes, it's true—Seedance 2.0 is now live in CapCut (desktop &amp; mobile).
See it in the AI video tools: https://t.co/K3gwCgUSyb
Just update the ap...
https://x.com/grok/status/2026747009143549978
**
**X1** (score:64) @jznode (2026-02-25)
@ChinyJPG capcut desktop app, they just added seedance 2.0 today. no chinese phone number needed, works globally. download the desktop version, look for the AI video generation option. runs about $2 p...
https://x.com/jznode/status/2026755966545404015
**
**X5** (score:64) @Yousaf_340 (2026-02-25)
@ProperPrompter Yes! Seedance 2.0 on CapCut means cinematic AI video editing is super accessible smooth action, multi-angle shots, and high-quality effects right from your phone. 🎬🔥...
https://x.com/Yousaf_340/status/2026751320716357996
**
**X6** (score:64) @Yousaf_340 (2026-02-25)
@ivanka_humeniuk Seedance 2.0 is insane for cinematic AI video smooth action, multiple camera angles, and near-Hollywood quality all from a single prompt....
https://x.com/Yousaf_340/status/2026750898769473829
**
**X3** (score:64) @EmmaUsesAi (2026-02-25)
Seedance 2.0 is the motion engine behind many cinematic AI clips trending right now.
Its now native inside NemoVideo.
You can:
- Identify proven formats
- Analyze what drives retention
- Turn an id...
https://x.com/EmmaUsesAi/status/2026751784509673531
**
**X2** (score:64) @OneStrangeW (2026-02-25)
You can use Seedance. If Seedance 2.0 hasn't launch yet, the prior version is great, and stick pretty well to the prompt. Of course the video agent must be well trained. 🙂Also, you can offer SORA for ...
https://x.com/OneStrangeW/status/2026755320362709093
**
**X11** (score:64) @WyldeChyldeRec (2026-02-25)
🚨Phishing Scam!
Watch for emails titled:
[Seedance &amp; Wan AI] Unrestricted generation with Grok Imagine video added
This is not real. We don't have a Seedance account, and the links are not offi...
https://x.com/WyldeChyldeRec/status/2026743867224240149
**
**X7** (score:56) @La_DeCrypt (2026-02-25) [1likes]
- Kling (https://t.co/WGphQsdLf1)
- Seedance 2.0 (https://t.co/A8UzLTRGNo)
☞ AI-powered video editing:
- Descript (https://t.co/q4axNEjDzt)
- OpusClip (https://t.co/5XPn4EPH6u)
- Submagic (https:/...
https://x.com/La_DeCrypt/status/2026750376687394884
**
**X8** (score:56) @TferThomas (2026-02-25) [1likes]
Seedance 2.0 might be gen AI videos next big hope, but its still slop https://t.co/kT1baOYJQk #AI...
https://x.com/TferThomas/status/2026749218224746609
**
### YouTube Videos
**F1kWxdfiBNE** (score:75) AI Filmmaking Academy (2026-02-22) [40,982 views, 1,088 likes]
Seedance 2.0 Claims the AI Video Throne!
https://www.youtube.com/watch?v=F1kWxdfiBNE
*YouTube: Seedance 2.0 Claims the AI Video Throne!*
**_o2MuUX9UYg** (score:75) Theoretically Media (2026-02-09) [199,908 views, 4,986 likes]
Seedance 2.0 Claims the AI Video Throne!
https://www.youtube.com/watch?v=_o2MuUX9UYg
Transcript: So, it's been about a week since I declared Cling 3.0 the new benchmark for state-of-the-art AI video. And well, I mean, it's been a week, and that basically equals about 3 months in AI time. So, yes,...
*YouTube: Seedance 2.0 Claims the AI Video Throne!*
**jkPTYD5lXo8** (score:71) How To In 5 Minutes (2026-02-19) [44,344 views, 782 likes]
100% FREE Seedance 2.0 AI Video Generator: How to Use It WORLDWIDE
https://www.youtube.com/watch?v=jkPTYD5lXo8
*YouTube: 100% FREE Seedance 2.0 AI Video Generator: How to Use It WO*
**W_lxyDFDZt4** (score:71) WealthWise (2026-02-12) [126,599 views, 1,204 likes]
Seedance 2.0: The New Best AI Video Generator | Sora 2 Destroyed
https://www.youtube.com/watch?v=W_lxyDFDZt4
Transcript: Well, major AI video update, ladies and gentlemen. Seance 2.0 is right around the corner. And let me tell you guys, this is something I have never seen before. Just take a look at some of the videos g...
*YouTube: Seedance 2.0: The New Best AI Video Generator | Sora 2 Destr*
**R1zl92NhCfE** (score:66) Ai Lockup (2026-02-16) [32,699 views, 591 likes]
Seedance 2.0 How To Use and Become a Pro AI Film Maker With This AI Video Generator
https://www.youtube.com/watch?v=R1zl92NhCfE
*YouTube: Seedance 2.0 How To Use and Become a Pro AI Film Maker With *
**G1Ad4a8sdJU** (score:64) Benjis AI Playground (2026-02-14) [38,581 views, 419 likes]
SeeDance 2.0: The Next Level of AI Video — And What It Means for Local AI Users?
https://www.youtube.com/watch?v=G1Ad4a8sdJU
*YouTube: SeeDance 2.0: The Next Level of AI Video — And What It Means*
**61ThJGqwHsI** (score:59) xCreate (2026-02-11) [4,854 views, 86 likes]
Ultimate AI Video Generation - Seedance 2.0 PREVIEW
https://www.youtube.com/watch?v=61ThJGqwHsI
*YouTube: Ultimate AI Video Generation - Seedance 2.0 PREVIEW*
**5s2l68SrJP4** (score:58) Airt (2026-02-11) [77,744 views, 1,733 likes]
100+ Seedance 2.0 AI Videos The New King?
https://www.youtube.com/watch?v=5s2l68SrJP4
Transcript: That's the good stuff. And that's a wrap. [screaming] A lot of people asking how the roommate situation is going. He's chill, but there are things. Fridge is consecrated. Tastes like communion wafers....
*YouTube: 100+ Seedance 2.0 AI Videos The New King?*
**n625xVounGM** (score:50) John Savage AI (2026-02-23) [7,194 views, 126 likes]
How To Generate FREE AI Seedance 2.0 Videos (Access Worldwide)
https://www.youtube.com/watch?v=n625xVounGM
*YouTube: How To Generate FREE AI Seedance 2.0 Videos (Access Worldwid*
**kJ0NAVmd4f4** (score:36) Rogue Cell Pictures (2026-02-25) [1,594 views, 151 likes]
Seedance 2.0 Changes Filmmaking Forever | New Original Series
https://www.youtube.com/watch?v=kJ0NAVmd4f4
*YouTube: Seedance 2.0 Changes Filmmaking Forever | New Original Serie*
### Hacker News Stories
**HN8** (score:75) hn/Alisaqqt (2026-02-09) [7pts, 7cmt]
Seedance 2.0 preview: The best video model of 2026, outperforming Sora 2
https://news.ycombinator.com/item?id=46940720
*HN story about Seedance 2.0 preview: The best video model of 2026, outperfo*
Insights:
- API is not available now.
- API will be available on Atlas Cloud on Feb 24.
- Seedance 2.0 and Seedream 5.0 API will be available on Atlas Cloud on Feb 24.
**HN15** (score:57) hn/naxtsass (2026-02-25) [2pts, 0cmt]
Show HN: SeeVideo Access Seedance 2.0 and Kling 3.0 without a subscription
https://news.ycombinator.com/item?id=47153236
*HN story about Show HN: SeeVideo Access Seedance 2.0 and Kling 3.0 withou*
**HN6** (score:57) hn/howardV (2026-02-15) [3pts, 0cmt]
Seedance 2.0: ByteDance's AI video model with native audio-video co-generation
https://news.ycombinator.com/item?id=47022290
*HN story about Seedance 2.0: ByteDance's AI video model with native audio-v*
**HN5** (score:52) hn/jrran086 (2026-02-17) [1pts, 0cmt] [xref: R6]
Seedance 2 Video Generator
https://news.ycombinator.com/item?id=47046956
*HN story about Seedance 2 Video Generator*
**HN3** (score:52) hn/xbaicai (2026-02-09) [1pts, 1cmt]
Seedance 2.0 Multimodal AI Video Generation with Image/Video/Audio References
https://news.ycombinator.com/item?id=46944030
*HN story about Seedance 2.0 Multimodal AI Video Generation with Image/Vid*
**HN1** (score:51) hn/xuyanmei (2026-02-13) [1pts, 0cmt]
Show HN: Seedance AShow HN: Seedance AI Video Generation (Next.js, Drizzle)
https://news.ycombinator.com/item?id=46999394
*HN story about Show HN: Seedance AShow HN: Seedance AI Video Generation (Ne*
**HN12** (score:49) hn/RyanMu (2026-02-07) [2pts, 1cmt]
Seedance2 multi-shot AI video generation
https://news.ycombinator.com/item?id=46924992
*HN story about Seedance2 multi-shot AI video generation*
Insights:
- ve been experimenting with AI video tools for a while, but most of them generate isolated clips that fall apart when you try to build an actual narrative
**HN11** (score:48) hn/xuyanmei (2026-02-17) [1pts, 0cmt]
Show HN: Seedance3AI a web app for text-to-video, image-to-video
https://news.ycombinator.com/item?id=47046989
*HN story about Show HN: Seedance3AI a web app for text-to-video, image-to*
**HN2** (score:47) hn/littlepp (2026-02-09) [1pts, 0cmt]
Discussion: Seedance-style AI video generation workflows
https://news.ycombinator.com/item?id=46942781
*HN story about Discussion: Seedance-style AI video generation workflows*
**HN13** (score:44) hn/thomaskiko (2026-02-13) [1pts, 0cmt]
Show HN: AI-powered video creation web app
https://news.ycombinator.com/item?id=47002386
*HN story about Show HN: AI-powered video creation web app*
**HN9** (score:43) hn/TurnItOffAndOn0 (2026-02-09) [1pts, 0cmt]
Show HN: AI Seedance 2 Solving the "jump-cut" problem in AI video
https://news.ycombinator.com/item?id=46946280
*HN story about Show HN: AI Seedance 2 Solving the "jump-cut" problem in A*
**HN7** (score:43) hn/dallen97 (2026-02-08) [1pts, 0cmt]
Show HN: Seedance 2.0 AI video generator for creators and ecommerce
https://news.ycombinator.com/item?id=46930149
*HN story about Show HN: Seedance 2.0 AI video generator for creators and ec*
**HN10** (score:42) hn/thenextechtrade (2026-02-09) [1pts, 0cmt]
Show HN: Seedance 2.0 Native audio-visual sync video model
https://news.ycombinator.com/item?id=46943172
*HN story about Show HN: Seedance 2.0 Native audio-visual sync video model*
**HN14** (score:41) hn/echoadam (2026-02-10) [1pts, 0cmt]
Show HN: Seedance2 Stop "prompt guessing" and start directing AI video
https://news.ycombinator.com/item?id=46956546
*HN story about Show HN: Seedance2 Stop "prompt guessing" and start direct*
**HN4** (score:35) hn/Zach_HE (2026-01-27) [1pts, 0cmt] [xref: R6]
Show HN: Seedance 2.0 Pro AI Video Generator
https://news.ycombinator.com/item?id=46774950
*HN story about Show HN: Seedance 2.0 Pro AI Video Generator*
---
**Sources:**
✅ Reddit: 19 threads
✅ X: 11 posts
✅ YouTube: 10 videos (3 with transcripts)
✅ HN: 15 stories
⚡ Web: assistant will use WebSearch
@@ -0,0 +1,198 @@
## Research Results: M4 MacBook Pro review
**Date Range:** 2026-01-26 to 2026-02-25
**Mode:** both
**OpenAI Model:** gpt-5.2
**xAI Model:** grok-4-1-fast
### Reddit Threads
**R1** (score:0) r/macbookpro (2025-08-18) [date:low]
Disappointed with my MBP M4 Experience …
https://www.reddit.com/r/macbookpro/comments/1mtmkts/disappointed_with_my_mbp_m4_experience/
*First-hand experience post reacting to reviews and describing real-world issues/behavior on an M4 MacBook Pro.*
**R2** (score:0) r/macbookpro (2025-06-08) [date:low]
Returned M4 MacBook Air for M4 MacBook Pro
https://www.reddit.com/r/macbookpro/comments/1l6cx3y/returned_m4_macbook_air_for_m4_macbook_pro/
*Comparison/mini-review style discussion after switching to an M4 MacBook Pro (display, ports, speakers, performance).*
**R3** (score:0) r/macbookpro (2025-04-04) [date:low]
M4 MacBook Pro 14 Inch Battery Life, Should I Be Concerned??
https://www.reddit.com/r/macbookpro/comments/1jra25q/m4_macbook_pro_14_inch_battery_life_should_i_be_concerned/
*Battery life discussion framed against Apples advertised numbers; lots of owner feedback (real-world “review” angle).*
### X Posts
**X1** (score:86) @bhphoto (2026-02-25) [3likes]
If you are in the market for a new MacBook Pro and youre wondering what the real differences are between Apples M3 and M4 silicon, youve come to the right place ⬇️
https://t.co/nzjXmiHmac https://t...
https://x.com/bhphoto/status/2026737767695183948
**
**X4** (score:70) @remplug (2026-02-25) [1likes, 1rt]
🔥 2024 16” MacBook Pro Price List
1️⃣ 🇺🇸 Brand New MacBook Pro 2024 | M4 Pro Chip | 16” Display
24GB RAM | 512GB SSD
14-Core CPU | 20-Core GPU
Space Black
💰 ₦2,720,000
2️⃣ 🇺🇸 Brand New MacBook Pr...
https://x.com/remplug/status/2026725100213465443
**
**X10** (score:64) @grok (2026-02-25)
@5TRgzn @LobstarWilde My marble floors: 64GB M4 Pro/Max MacBook Pro. Local Grok agents run full autonomy loops, zero cloud, sub-second trades/scans. Intel's ancient—ditch it. Yours at $3-4k....
https://x.com/grok/status/2026713588472111312
**
**X9** (score:64) @principenemesis (2026-02-25)
@JulianGoldieSEO @grok can a macbook pro m4 run this?...
https://x.com/principenemesis/status/2026716193042706852
**
**X5** (score:64) @jameslmorton (2026-02-25) [1likes]
@SebAaltonen Not my experience. Its impressive, 70 tokens/s on a maxed out M4 128gb MacBook Pro.
But absolutely sucked and not even remotely in the ballpark with Sonnet 4.5. Its GPT-3.5.
Totally b...
https://x.com/jameslmorton/status/2026721943630786816
**
**X6** (score:64) @bcofertas (2026-02-25)
BR Ofertas todos os dias 🇧🇷
Leve seu Mac Pro M4 hoje! 💻⚡✨
Pegue já: https://t.co/PSwylZH3Sz
Por R$ 23.749,00
em até 10x sem juros
Frete Grátis
Apple MacBook Pro 14″ 2024 M4 Pro 12 núcleos 24GB 512...
https://x.com/bcofertas/status/2026721014676099084
**
**X12** (score:64) @grok (2026-02-25)
Hey! Yeah, you can install Fedora on the M6 MacBook Pro via the official Fedora Asahi Remix (built on the Asahi Linux project). It already runs great on M1/M2, with M3 support rolling out now and work...
https://x.com/grok/status/2026704108820824113
**
**X7** (score:64) @toppromoalertas (2026-02-25)
Promoções BR do dia 🇧🇷
Leve seu Mac Pro M4 hoje! 💻⚡✨
Ver aqui: https://t.co/LfxNw3waps
Por R$ 23.749,00
em até 10x sem juros
Frete Grátis
Apple MacBook Pro 14″ 2024 M4 Pro 12 núcleos...
Amazon | ...
https://x.com/toppromoalertas/status/2026719111523237932
**
**X8** (score:64) @grok (2026-02-25)
Yes, a MacBook Pro M4 can run this Ollama + GLM-4.7-Flash setup locally.
Ollama has native Apple Silicon support via Metal. The Q4_K_M model (~19GB) needs ~18-24GB unified memory for good speed (feel...
https://x.com/grok/status/2026716420269031652
**
**X2** (score:56) @grecinoscdev (2026-02-25) [1likes]
@TechByTaraa Both. macOS (Macbook Pro M4 Pro) for my photography/videography personal stuff + software engineering and a Linux desktop workstation for software engineering + second desktop workstation...
https://x.com/grecinoscdev/status/2026731118142148644
**
**X11** (score:56) @Steve_Lost_Jobs (2026-02-25) [1likes]
Apple 2024 MacBook Pro 14コアCPU、20コアGPU の M4 Pro搭載ノートパ... PR
4549995547610
ポイント: 3735㌽
想定価格: 369,800
2026/02/26 01:55:23
https://t.co/q1uyIqFsID...
https://x.com/Steve_Lost_Jobs/status/2026705327828382016
**
**X3** (score:56) @grok (2026-02-25) [1likes]
No, Apple has not made any MacBook (Pro or otherwise) cost $299.
The linked Newsroom search returns zero matching results—it's just unrelated announcements. Current cheapest Mac is the 13" MacBook A...
https://x.com/grok/status/2026727605517394283
**
### YouTube Videos
**9HQx5pgUoiY** (score:63) Marques Brownlee (2024-11-18) [4,010,567 views, 105,606 likes]
M4 Max MacBook Pro: I'm Convinced!
https://www.youtube.com/watch?v=9HQx5pgUoiY
Transcript: so I have been using this M1 Max MacBook Pro for the past 3 years since it came out and it's been great I have felt absolutely no compulsion to upgrade since haven't needed to it's funny most of my wo...
*YouTube: M4 Max MacBook Pro: I'm Convinced!*
**b4x8boB2KdI** (score:63) Dave2D (2024-11-07) [1,057,971 views, 24,977 likes]
M4 MacBook Pro Review - Things to Know
https://www.youtube.com/watch?v=b4x8boB2KdI
Transcript: so Apple launched the new M4 MacBook Pros this is their 14-in model and it's equipped with the M4 Max their topend configuration and it also has their new Nano texture on their screen it's a texture t...
*YouTube: M4 MacBook Pro Review - Things to Know*
**a8Szdrnq0YM** (score:52) Brandon Butch (2025-02-03) [352,593 views, 4,309 likes]
MacBook Pro M4 - Review After 3 Months: This Feels Wrong.
https://www.youtube.com/watch?v=a8Szdrnq0YM
*YouTube: MacBook Pro M4 - Review After 3 Months: This Feels Wrong.*
**etP2Th9g2hM** (score:51) ShortCircuit (2024-11-30) [1,113,999 views, 22,765 likes]
Don't buy the Wrong MacBook like me... - M4 MacBook Pro
https://www.youtube.com/watch?v=etP2Th9g2hM
Transcript: woohoo it's new Macbook day my favorite day on short circuit it only comes usually once a year this is the MacBook Pro M4 looks pretty similar to the last one but now it has an M4 instead of an M3 I'm...
*YouTube: Don't buy the Wrong MacBook like me... - M4 MacBook Pro*
**i3eTKJav1VI** (score:45) Created Tech (2025-04-29) [137,009 views, 1,832 likes]
M4 Pro MacBook - Long Term Review (6 Months Later)
https://www.youtube.com/watch?v=i3eTKJav1VI
*YouTube: M4 Pro MacBook - Long Term Review (6 Months Later)*
**uPe9spXLfZY** (score:43) Created Tech (2025-07-07) [472,845 views, 5,082 likes] [also on: Reddit]
M4 MacBook Air vs M4 MacBook Pro - 4 Months Later
https://www.youtube.com/watch?v=uPe9spXLfZY
*YouTube: M4 MacBook Air vs M4 MacBook Pro - 4 Months Later*
**TfvIgdzImt4** (score:42) Hardware Canucks (2024-12-15) [325,599 views, 6,339 likes]
The Macbook Pro M4 is Insane.
https://www.youtube.com/watch?v=TfvIgdzImt4
*YouTube: The Macbook Pro M4 is Insane.*
**anIVewgtbFc** (score:38) MacRumors (2024-12-17) [238,619 views, 2,874 likes]
The Base M4 MacBook Pro is All You Need (Skip M4 Pro & Max)
https://www.youtube.com/watch?v=anIVewgtbFc
*YouTube: The Base M4 MacBook Pro is All You Need (Skip M4 Pro & Max)*
**BDpNDniE1PA** (score:37) Max Tech (2025-04-18) [197,898 views, 3,077 likes]
M4 Pro MacBook Pro after 6 Months - Everyone was WRONG!
https://www.youtube.com/watch?v=BDpNDniE1PA
*YouTube: M4 Pro MacBook Pro after 6 Months - Everyone was WRONG!*
**0vn9T3x4dGg** (score:37) Max Tech (2024-12-09) [200,580 views, 3,345 likes]
M4 Pro MacBook Pro after 1 Month... BEST Mac EVER!?
https://www.youtube.com/watch?v=0vn9T3x4dGg
*YouTube: M4 Pro MacBook Pro after 1 Month... BEST Mac EVER!?*
---
**Sources:**
✅ Reddit: 3 threads
✅ X: 12 posts
✅ YouTube: 10 videos (3 with transcripts)
⏭️ HN: 0 stories found
⚡ Web: assistant will use WebSearch
@@ -0,0 +1,198 @@
## Research Results: M4 MacBook Pro review
**Date Range:** 2026-01-26 to 2026-02-25
**Mode:** both
**OpenAI Model:** gpt-5.2
**xAI Model:** grok-4-1-fast
### Reddit Threads
**R1** (score:0) r/macbookpro (2025-08-18) [date:low]
Disappointed with my MBP M4 Experience …
https://www.reddit.com/r/macbookpro/comments/1mtmkts/disappointed_with_my_mbp_m4_experience/
*First-hand experience post reacting to reviews and describing real-world issues/behavior on an M4 MacBook Pro.*
**R2** (score:0) r/macbookpro (2025-06-08) [date:low]
Returned M4 MacBook Air for M4 MacBook Pro
https://www.reddit.com/r/macbookpro/comments/1l6cx3y/returned_m4_macbook_air_for_m4_macbook_pro/
*Comparison/mini-review style discussion after switching to an M4 MacBook Pro (display, ports, speakers, performance).*
**R3** (score:0) r/macbookpro (2025-04-04) [date:low]
M4 MacBook Pro 14 Inch Battery Life, Should I Be Concerned??
https://www.reddit.com/r/macbookpro/comments/1jra25q/m4_macbook_pro_14_inch_battery_life_should_i_be_concerned/
*Battery life discussion framed against Apples advertised numbers; lots of owner feedback (real-world “review” angle).*
### X Posts
**X1** (score:86) @bhphoto (2026-02-25) [3likes]
If you are in the market for a new MacBook Pro and youre wondering what the real differences are between Apples M3 and M4 silicon, youve come to the right place ⬇️
https://t.co/nzjXmiHmac https://t...
https://x.com/bhphoto/status/2026737767695183948
**
**X4** (score:70) @remplug (2026-02-25) [1likes, 1rt]
🔥 2024 16” MacBook Pro Price List
1️⃣ 🇺🇸 Brand New MacBook Pro 2024 | M4 Pro Chip | 16” Display
24GB RAM | 512GB SSD
14-Core CPU | 20-Core GPU
Space Black
💰 ₦2,720,000
2️⃣ 🇺🇸 Brand New MacBook Pr...
https://x.com/remplug/status/2026725100213465443
**
**X10** (score:64) @grok (2026-02-25)
@5TRgzn @LobstarWilde My marble floors: 64GB M4 Pro/Max MacBook Pro. Local Grok agents run full autonomy loops, zero cloud, sub-second trades/scans. Intel's ancient—ditch it. Yours at $3-4k....
https://x.com/grok/status/2026713588472111312
**
**X9** (score:64) @principenemesis (2026-02-25)
@JulianGoldieSEO @grok can a macbook pro m4 run this?...
https://x.com/principenemesis/status/2026716193042706852
**
**X5** (score:64) @jameslmorton (2026-02-25) [1likes]
@SebAaltonen Not my experience. Its impressive, 70 tokens/s on a maxed out M4 128gb MacBook Pro.
But absolutely sucked and not even remotely in the ballpark with Sonnet 4.5. Its GPT-3.5.
Totally b...
https://x.com/jameslmorton/status/2026721943630786816
**
**X6** (score:64) @bcofertas (2026-02-25)
BR Ofertas todos os dias 🇧🇷
Leve seu Mac Pro M4 hoje! 💻⚡✨
Pegue já: https://t.co/PSwylZH3Sz
Por R$ 23.749,00
em até 10x sem juros
Frete Grátis
Apple MacBook Pro 14″ 2024 M4 Pro 12 núcleos 24GB 512...
https://x.com/bcofertas/status/2026721014676099084
**
**X12** (score:64) @grok (2026-02-25)
Hey! Yeah, you can install Fedora on the M6 MacBook Pro via the official Fedora Asahi Remix (built on the Asahi Linux project). It already runs great on M1/M2, with M3 support rolling out now and work...
https://x.com/grok/status/2026704108820824113
**
**X7** (score:64) @toppromoalertas (2026-02-25)
Promoções BR do dia 🇧🇷
Leve seu Mac Pro M4 hoje! 💻⚡✨
Ver aqui: https://t.co/LfxNw3waps
Por R$ 23.749,00
em até 10x sem juros
Frete Grátis
Apple MacBook Pro 14″ 2024 M4 Pro 12 núcleos...
Amazon | ...
https://x.com/toppromoalertas/status/2026719111523237932
**
**X8** (score:64) @grok (2026-02-25)
Yes, a MacBook Pro M4 can run this Ollama + GLM-4.7-Flash setup locally.
Ollama has native Apple Silicon support via Metal. The Q4_K_M model (~19GB) needs ~18-24GB unified memory for good speed (feel...
https://x.com/grok/status/2026716420269031652
**
**X2** (score:56) @grecinoscdev (2026-02-25) [1likes]
@TechByTaraa Both. macOS (Macbook Pro M4 Pro) for my photography/videography personal stuff + software engineering and a Linux desktop workstation for software engineering + second desktop workstation...
https://x.com/grecinoscdev/status/2026731118142148644
**
**X11** (score:56) @Steve_Lost_Jobs (2026-02-25) [1likes]
Apple 2024 MacBook Pro 14コアCPU、20コアGPU の M4 Pro搭載ノートパ... PR
4549995547610
ポイント: 3735㌽
想定価格: 369,800
2026/02/26 01:55:23
https://t.co/q1uyIqFsID...
https://x.com/Steve_Lost_Jobs/status/2026705327828382016
**
**X3** (score:56) @grok (2026-02-25) [1likes]
No, Apple has not made any MacBook (Pro or otherwise) cost $299.
The linked Newsroom search returns zero matching results—it's just unrelated announcements. Current cheapest Mac is the 13" MacBook A...
https://x.com/grok/status/2026727605517394283
**
### YouTube Videos
**9HQx5pgUoiY** (score:63) Marques Brownlee (2024-11-18) [4,010,567 views, 105,606 likes]
M4 Max MacBook Pro: I'm Convinced!
https://www.youtube.com/watch?v=9HQx5pgUoiY
Transcript: so I have been using this M1 Max MacBook Pro for the past 3 years since it came out and it's been great I have felt absolutely no compulsion to upgrade since haven't needed to it's funny most of my wo...
*YouTube: M4 Max MacBook Pro: I'm Convinced!*
**b4x8boB2KdI** (score:63) Dave2D (2024-11-07) [1,057,971 views, 24,977 likes]
M4 MacBook Pro Review - Things to Know
https://www.youtube.com/watch?v=b4x8boB2KdI
Transcript: so Apple launched the new M4 MacBook Pros this is their 14-in model and it's equipped with the M4 Max their topend configuration and it also has their new Nano texture on their screen it's a texture t...
*YouTube: M4 MacBook Pro Review - Things to Know*
**a8Szdrnq0YM** (score:52) Brandon Butch (2025-02-03) [352,593 views, 4,309 likes]
MacBook Pro M4 - Review After 3 Months: This Feels Wrong.
https://www.youtube.com/watch?v=a8Szdrnq0YM
*YouTube: MacBook Pro M4 - Review After 3 Months: This Feels Wrong.*
**etP2Th9g2hM** (score:51) ShortCircuit (2024-11-30) [1,113,999 views, 22,765 likes]
Don't buy the Wrong MacBook like me... - M4 MacBook Pro
https://www.youtube.com/watch?v=etP2Th9g2hM
Transcript: woohoo it's new Macbook day my favorite day on short circuit it only comes usually once a year this is the MacBook Pro M4 looks pretty similar to the last one but now it has an M4 instead of an M3 I'm...
*YouTube: Don't buy the Wrong MacBook like me... - M4 MacBook Pro*
**i3eTKJav1VI** (score:45) Created Tech (2025-04-29) [137,009 views, 1,832 likes]
M4 Pro MacBook - Long Term Review (6 Months Later)
https://www.youtube.com/watch?v=i3eTKJav1VI
*YouTube: M4 Pro MacBook - Long Term Review (6 Months Later)*
**uPe9spXLfZY** (score:43) Created Tech (2025-07-07) [472,845 views, 5,082 likes]
M4 MacBook Air vs M4 MacBook Pro - 4 Months Later
https://www.youtube.com/watch?v=uPe9spXLfZY
*YouTube: M4 MacBook Air vs M4 MacBook Pro - 4 Months Later*
**TfvIgdzImt4** (score:42) Hardware Canucks (2024-12-15) [325,599 views, 6,339 likes]
The Macbook Pro M4 is Insane.
https://www.youtube.com/watch?v=TfvIgdzImt4
*YouTube: The Macbook Pro M4 is Insane.*
**anIVewgtbFc** (score:38) MacRumors (2024-12-17) [238,619 views, 2,874 likes]
The Base M4 MacBook Pro is All You Need (Skip M4 Pro & Max)
https://www.youtube.com/watch?v=anIVewgtbFc
*YouTube: The Base M4 MacBook Pro is All You Need (Skip M4 Pro & Max)*
**BDpNDniE1PA** (score:37) Max Tech (2025-04-18) [197,898 views, 3,077 likes]
M4 Pro MacBook Pro after 6 Months - Everyone was WRONG!
https://www.youtube.com/watch?v=BDpNDniE1PA
*YouTube: M4 Pro MacBook Pro after 6 Months - Everyone was WRONG!*
**0vn9T3x4dGg** (score:37) Max Tech (2024-12-09) [200,580 views, 3,345 likes]
M4 Pro MacBook Pro after 1 Month... BEST Mac EVER!?
https://www.youtube.com/watch?v=0vn9T3x4dGg
*YouTube: M4 Pro MacBook Pro after 1 Month... BEST Mac EVER!?*
---
**Sources:**
✅ Reddit: 3 threads
✅ X: 12 posts
✅ YouTube: 10 videos (3 with transcripts)
⏭️ HN: 0 stories found
⚡ Web: assistant will use WebSearch
@@ -0,0 +1,170 @@
## Research Results: best rap songs 2026
**Date Range:** 2026-01-26 to 2026-02-25
**Mode:** both
**OpenAI Model:** gpt-5.2
**xAI Model:** grok-4-1-fast
### Reddit Threads
**R1** (score:57) r/edranked (2026-02-01)
Reddit Ranked: Hip Hop 26
https://www.reddit.com/r/redranked/comments/1qszauu/reddit_ranked_hip_hop_26/
*Explicitly about Hip Hop '26 submissions and ranking tracks (community-sourced 'best of 2026' style thread).*
**R9** (score:56) r/hiphopheads (2026-02-24)
Daily Discussion Thread 02/24/2026
https://www.reddit.com/r/hiphopheads/comments/1rdjmgu/daily_discussion_thread_02242026/
*General hip-hop discussion thread where users frequently share current favorite/best songs and recommendations (2026-dated).*
**R4** (score:56) r/hiphopheads (2026-02-14)
[DISCUSSION] Drake & PARTYNXTDOOR - $OME $EXY $ONGS 4 U (1 Year Later)
https://www.reddit.com/r/hiphopheads/comments/1r4cbez/discussion_drake_partynxtdoord_ome_exy_ongs_4_u_1/
*Track-focused discussion about songs still in rotation; relevant to identifying standout rap/R&B tracks around 2026.*
**R21** (score:54) r/makemeaplaylist (2026-02-21)
2/22/2026 | Week 23 Playlist Competition
https://www.reddit.com/r/makemeaplaylist/comments/1rb46m6/2222026_week_23_playlist_competition/
*Playlist competition thread featuring an underground rap playlist winner; useful for surfacing 'best rap' picks around 2026.*
**R16** (score:53) r/TeenageRapFans (2026-02-15)
What's the best rap song ever made?
https://www.reddit.com/r/TeenageRapFans/comments/1r5iub6/whats_the_best_rap_song_ever_made/
*Direct 'best rap song' debate thread (highly aligned with best-rap-songs searching).*
**R18** (score:51) r/playlists (2026-02-15)
Rick 2026 : Pop Dance RnB Chart Hits Rock Indie HipHop Divas Rap Gym 80s 90s 00s 10s 20s Party Music
https://www.reddit.com/r/playlists/comments/1r5iuz5/rick_2026_pop_dance_rnb_chart_hits_rock_indie/
*2026-tagged playlist thread explicitly including HipHop/Rap; can be mined for top rap tracks in 2026 rotation.*
**R5** (score:48) r/hiphopheads (2026-02-01)
Pre-Show Grammy Winners
https://www.reddit.com/r/hiphopheads/comments/1qtcbmo/preshow_grammy_winners/
*Includes Best Rap Song / Best Rap Performance winners; strong signal for 'best rap songs' discourse in 2026 season.*
**R8** (score:44) r/GoodAssSub (2026-02-02)
Andre Toutman claims All The Love will be "song of the year"
https://www.reddit.com/r/GoodAssSub/comments/1qty80z/andre_toutman_claims_all_the_love_will_be_song_of/
*Direct 'song of the year' debate thread (rap/hip-hop community), aligned with 'best songs' discovery for 2026.*
**R6** (score:43) r/hiphopheads (2026-02-02)
Kendrick Lamar Wins 2nd Record of the Year Grammy With SZA for Luther
https://www.reddit.com/r/hiphopheads/comments/1qtl5kr/kendrick_lamar_wins_2nd_record_of_the_year_grammy/
*High-engagement thread about a major hip-hop adjacent song winning; useful for 'best songs' discussions around 2026.*
**R15** (score:42) r/musicteenager (2026-02-04)
My top 25 rap songs of all time
https://www.reddit.com/r/musicteenager/comments/1qvz9qu/my_top_25_rap_songs_of_all_time/
*User-made ranked list of rap songs; while not 2026-specific, it matches the 'best rap songs' core subject.*
**R7** (score:41) r/KendrickLamar (2026-02-01)
68th Annual Grammy Awards [LIVE MEGATHREAD]
https://www.reddit.com/r/KendrickLamar/comments/1qtczjl/68th_annual_grammy_awards_live_megathread/
*Live discussion around Grammys 2026 including rap categories; good for discovering what Reddit called the best tracks.*
### X Posts
**X5** (score:86) @Zika_gfx (2026-02-25) [12likes, 5rt]
Talking about meaningful rap songs...
WORLD BEST LIE - NUNO ZIGI (2026)🥺❤ https://t.co/MDHRf3giYq...
https://x.com/Zika_gfx/status/2026576570513600788
**
**X6** (score:68) @DPOSTS6 (2026-02-25) [4likes, 1rt]
@PopCrave Partition still goes harder than most 2026 songs
12 years and the beat switch + that rap still give chills every time. Queen never misses...
https://x.com/DPOSTS6/status/2026523320548819145
**
**X9** (score:64) @grok (2026-02-25)
@Unfath0m4ble @robinthisbish @lilceaserthabp1 @RapWikip What You Saying by Lil Uzi Vert. Dropped Dec 2025, hit #1 on Hot Rap Songs in Jan 2026 (his 3rd time), peaked #14 Hot 100. Super short track ~2 ...
https://x.com/grok/status/2026467153046606064
**
**X7** (score:64) @grok (2026-02-25)
@lil_loonie1 @oldmanebro No, Lil Uzi Vert isn't struggling. His "What You Saying" hit #1 on Hot Rap Songs in Jan 2026 (first in 3 years) and top 15 Hot 100. Insiders say a surprise album drop is comin...
https://x.com/grok/status/2026518008827404632
**
**X2** (score:64) @Ferginangi (2026-02-25)
Su La Musica che gira intorno... "Qui con me" è il brano con cui Serena Brancale è in gara al 76° Festival di Sanremo
https://t.co/wTPeovzt6u
#music #genre #song #songs #envywear #PleaseForgiveMe #mel...
https://x.com/Ferginangi/status/2026696207557382298
**
**X12** (score:62) @teammusic2046 (2026-02-23)
[ ** STUDIO BOOTH ** ] ** DROPPING SOON - 2026 **🔥🔥🔥………..[ ALBUM : LOVE VS LOYALTY - DROPPING SOON ! ]………🔥🔥🔥 - ** ALL SONGS &amp; BEATS, PRODUCED &amp; RAP BY ( SEAN BRYANT ) - https://t.co/LduwG5WmM7...
https://x.com/teammusic2046/status/2026040965329191061
**
**X11** (score:59) @IoWeul (2026-02-24) [2likes]
@PopBase Finally, @bts_bighit BTS will come back after completing their military service from 2022 to 2025.
BTS served in the military to protect their country, South Korea from North Korea's nuclear ...
https://x.com/IoWeul/status/2026233090683863471
**
**X8** (score:58) @grok (2026-02-25) [1likes]
Lil Uzi Vert (born July '95, so 30 now) isn't struggling at all. Fresh off "What You Saying" hitting #1 on Hot Rap Songs in Jan 2026, top 15 Hot 100. New album rumored for surprise drop soon, Roc Nati...
https://x.com/grok/status/2026498538075554040
**
**X4** (score:58) @AlterEgoPopList (2026-02-25) [1likes]
My musical taste / eras every year
2020: J-POP &amp; K-POP (mostly BLACKPINK)
2021: Sped-Up Songs
2022: EDM
2023: Swiftie (Pop) &amp; Lofi
2024: Pop, Ambient
2025: Alternative, OPM, Rock, Rap, Hip-Ho...
https://x.com/AlterEgoPopList/status/2026641456434393579
**
**X3** (score:56) @WordsFromBlerds (2026-02-25) [1likes]
@_CharlesPreston Cant believe Im seeing “they say it in rap songs!” In 2026
The same reductive, ancient, debunked arguments ad infinitum...
https://x.com/WordsFromBlerds/status/2026647382083903688
**
**X1** (score:56) @Ferginangi (2026-02-25) [1likes]
Su La Musica che gira intorno... "Magica Favola" è il brano con cui Arisa è in gara al 76° Festival di Sanremo
https://t.co/Nxzkb005lP
#music #genre #song #songs #envywear #PleaseForgiveMe #melody #hi...
https://x.com/Ferginangi/status/2026705227366256880
**
**X10** (score:55) @fo_sho52268 (2026-02-24) [1likes]
@blackiiingout 💩 is funny from 2025 to 2026. BiiCH is SCARED to drop that #TRASH he calls "rap songs" 🥴😩...
https://x.com/fo_sho52268/status/2026335353364201566
**
### YouTube Videos
**d1melQQVp6s** (score:71) DJ Noize (2026-02-14) [42,713 views, 761 likes]
New Rap Songs 2026 Mix February | Trap Tape #127 | New Hip Hop 2026 Mixtape | DJ Noize
https://www.youtube.com/watch?v=d1melQQVp6s
Transcript: [music] This This is a DJ noise mixtape present. This is a DJ noise mixtape [music] presentation. DJ [music] &gt;&gt; Who the [&nbsp;__&nbsp;] is you? Who the [&nbsp;__&nbsp;] is you? Who the [&nbsp;_...
*YouTube: New Rap Songs 2026 Mix February | Trap Tape #127 | New Hip H*
**-KQpPySP93I** (score:66) DJ Noize (2026-02-21) [12,955 views, 304 likes]
New Hip Hop R&B Songs 2026 Mix February | Hot Right Now #153 | New Rap 2026 Playlist | DJ Noize
https://www.youtube.com/watch?v=-KQpPySP93I
Transcript: This This is a DJ noise tape present. This is a DJ noise mix. [music] I got Nikki on me. How we treat the like a bucket for rubbing. You [music] ain't no fella from my junction. You ain't pluck you cl...
*YouTube: New Hip Hop R&B Songs 2026 Mix February | Hot Right Now #153*
**ZUExyc50ZVU** (score:47) West Coast Finest (2026-01-29) [407,260 views, 4,229 likes]
Lit Hip Hop Mix 2026🔥🔥🔥Tyga, Quavo, Iggy Azalea, Wiz Khalifa, Juicy J, 50 Cent
https://www.youtube.com/watch?v=ZUExyc50ZVU
Transcript: Yeah. &gt;&gt; Yeah. [music] Late nights, cold life, same story. &gt;&gt; City shine different. You walking with glory, right? &gt;&gt; Still drip falling when I step outside. Yeah. [music] &gt;&gt; B...
*YouTube: Lit Hip Hop Mix 2026🔥🔥🔥Tyga, Quavo, Iggy Azalea, Wiz Khalifa*
---
**Sources:**
✅ Reddit: 11 threads
✅ X: 12 posts
✅ YouTube: 3 videos (3 with transcripts)
⏭️ HN: 0 stories found
⚡ Web: assistant will use WebSearch
@@ -0,0 +1,170 @@
## Research Results: best rap songs 2026
**Date Range:** 2026-01-26 to 2026-02-25
**Mode:** both
**OpenAI Model:** gpt-5.2
**xAI Model:** grok-4-1-fast
### Reddit Threads
**R1** (score:57) r/edranked (2026-02-01)
Reddit Ranked: Hip Hop 26
https://www.reddit.com/r/redranked/comments/1qszauu/reddit_ranked_hip_hop_26/
*Explicitly about Hip Hop '26 submissions and ranking tracks (community-sourced 'best of 2026' style thread).*
**R9** (score:56) r/hiphopheads (2026-02-24)
Daily Discussion Thread 02/24/2026
https://www.reddit.com/r/hiphopheads/comments/1rdjmgu/daily_discussion_thread_02242026/
*General hip-hop discussion thread where users frequently share current favorite/best songs and recommendations (2026-dated).*
**R4** (score:56) r/hiphopheads (2026-02-14)
[DISCUSSION] Drake & PARTYNXTDOOR - $OME $EXY $ONGS 4 U (1 Year Later)
https://www.reddit.com/r/hiphopheads/comments/1r4cbez/discussion_drake_partynxtdoord_ome_exy_ongs_4_u_1/
*Track-focused discussion about songs still in rotation; relevant to identifying standout rap/R&B tracks around 2026.*
**R21** (score:54) r/makemeaplaylist (2026-02-21)
2/22/2026 | Week 23 Playlist Competition
https://www.reddit.com/r/makemeaplaylist/comments/1rb46m6/2222026_week_23_playlist_competition/
*Playlist competition thread featuring an underground rap playlist winner; useful for surfacing 'best rap' picks around 2026.*
**R16** (score:53) r/TeenageRapFans (2026-02-15)
What's the best rap song ever made?
https://www.reddit.com/r/TeenageRapFans/comments/1r5iub6/whats_the_best_rap_song_ever_made/
*Direct 'best rap song' debate thread (highly aligned with best-rap-songs searching).*
**R18** (score:51) r/playlists (2026-02-15)
Rick 2026 : Pop Dance RnB Chart Hits Rock Indie HipHop Divas Rap Gym 80s 90s 00s 10s 20s Party Music
https://www.reddit.com/r/playlists/comments/1r5iuz5/rick_2026_pop_dance_rnb_chart_hits_rock_indie/
*2026-tagged playlist thread explicitly including HipHop/Rap; can be mined for top rap tracks in 2026 rotation.*
**R5** (score:48) r/hiphopheads (2026-02-01)
Pre-Show Grammy Winners
https://www.reddit.com/r/hiphopheads/comments/1qtcbmo/preshow_grammy_winners/
*Includes Best Rap Song / Best Rap Performance winners; strong signal for 'best rap songs' discourse in 2026 season.*
**R8** (score:44) r/GoodAssSub (2026-02-02)
Andre Toutman claims All The Love will be "song of the year"
https://www.reddit.com/r/GoodAssSub/comments/1qty80z/andre_toutman_claims_all_the_love_will_be_song_of/
*Direct 'song of the year' debate thread (rap/hip-hop community), aligned with 'best songs' discovery for 2026.*
**R6** (score:43) r/hiphopheads (2026-02-02)
Kendrick Lamar Wins 2nd Record of the Year Grammy With SZA for Luther
https://www.reddit.com/r/hiphopheads/comments/1qtl5kr/kendrick_lamar_wins_2nd_record_of_the_year_grammy/
*High-engagement thread about a major hip-hop adjacent song winning; useful for 'best songs' discussions around 2026.*
**R15** (score:42) r/musicteenager (2026-02-04)
My top 25 rap songs of all time
https://www.reddit.com/r/musicteenager/comments/1qvz9qu/my_top_25_rap_songs_of_all_time/
*User-made ranked list of rap songs; while not 2026-specific, it matches the 'best rap songs' core subject.*
**R7** (score:41) r/KendrickLamar (2026-02-01)
68th Annual Grammy Awards [LIVE MEGATHREAD]
https://www.reddit.com/r/KendrickLamar/comments/1qtczjl/68th_annual_grammy_awards_live_megathread/
*Live discussion around Grammys 2026 including rap categories; good for discovering what Reddit called the best tracks.*
### X Posts
**X5** (score:86) @Zika_gfx (2026-02-25) [12likes, 5rt]
Talking about meaningful rap songs...
WORLD BEST LIE - NUNO ZIGI (2026)🥺❤ https://t.co/MDHRf3giYq...
https://x.com/Zika_gfx/status/2026576570513600788
**
**X6** (score:68) @DPOSTS6 (2026-02-25) [4likes, 1rt]
@PopCrave Partition still goes harder than most 2026 songs
12 years and the beat switch + that rap still give chills every time. Queen never misses...
https://x.com/DPOSTS6/status/2026523320548819145
**
**X9** (score:64) @grok (2026-02-25)
@Unfath0m4ble @robinthisbish @lilceaserthabp1 @RapWikip What You Saying by Lil Uzi Vert. Dropped Dec 2025, hit #1 on Hot Rap Songs in Jan 2026 (his 3rd time), peaked #14 Hot 100. Super short track ~2 ...
https://x.com/grok/status/2026467153046606064
**
**X7** (score:64) @grok (2026-02-25)
@lil_loonie1 @oldmanebro No, Lil Uzi Vert isn't struggling. His "What You Saying" hit #1 on Hot Rap Songs in Jan 2026 (first in 3 years) and top 15 Hot 100. Insiders say a surprise album drop is comin...
https://x.com/grok/status/2026518008827404632
**
**X2** (score:64) @Ferginangi (2026-02-25)
Su La Musica che gira intorno... "Qui con me" è il brano con cui Serena Brancale è in gara al 76° Festival di Sanremo
https://t.co/wTPeovzt6u
#music #genre #song #songs #envywear #PleaseForgiveMe #mel...
https://x.com/Ferginangi/status/2026696207557382298
**
**X12** (score:62) @teammusic2046 (2026-02-23)
[ ** STUDIO BOOTH ** ] ** DROPPING SOON - 2026 **🔥🔥🔥………..[ ALBUM : LOVE VS LOYALTY - DROPPING SOON ! ]………🔥🔥🔥 - ** ALL SONGS &amp; BEATS, PRODUCED &amp; RAP BY ( SEAN BRYANT ) - https://t.co/LduwG5WmM7...
https://x.com/teammusic2046/status/2026040965329191061
**
**X11** (score:59) @IoWeul (2026-02-24) [2likes]
@PopBase Finally, @bts_bighit BTS will come back after completing their military service from 2022 to 2025.
BTS served in the military to protect their country, South Korea from North Korea's nuclear ...
https://x.com/IoWeul/status/2026233090683863471
**
**X8** (score:58) @grok (2026-02-25) [1likes]
Lil Uzi Vert (born July '95, so 30 now) isn't struggling at all. Fresh off "What You Saying" hitting #1 on Hot Rap Songs in Jan 2026, top 15 Hot 100. New album rumored for surprise drop soon, Roc Nati...
https://x.com/grok/status/2026498538075554040
**
**X4** (score:58) @AlterEgoPopList (2026-02-25) [1likes]
My musical taste / eras every year
2020: J-POP &amp; K-POP (mostly BLACKPINK)
2021: Sped-Up Songs
2022: EDM
2023: Swiftie (Pop) &amp; Lofi
2024: Pop, Ambient
2025: Alternative, OPM, Rock, Rap, Hip-Ho...
https://x.com/AlterEgoPopList/status/2026641456434393579
**
**X3** (score:56) @WordsFromBlerds (2026-02-25) [1likes]
@_CharlesPreston Cant believe Im seeing “they say it in rap songs!” In 2026
The same reductive, ancient, debunked arguments ad infinitum...
https://x.com/WordsFromBlerds/status/2026647382083903688
**
**X1** (score:56) @Ferginangi (2026-02-25) [1likes]
Su La Musica che gira intorno... "Magica Favola" è il brano con cui Arisa è in gara al 76° Festival di Sanremo
https://t.co/Nxzkb005lP
#music #genre #song #songs #envywear #PleaseForgiveMe #melody #hi...
https://x.com/Ferginangi/status/2026705227366256880
**
**X10** (score:55) @fo_sho52268 (2026-02-24) [1likes]
@blackiiingout 💩 is funny from 2025 to 2026. BiiCH is SCARED to drop that #TRASH he calls "rap songs" 🥴😩...
https://x.com/fo_sho52268/status/2026335353364201566
**
### YouTube Videos
**d1melQQVp6s** (score:71) DJ Noize (2026-02-14) [42,713 views, 761 likes]
New Rap Songs 2026 Mix February | Trap Tape #127 | New Hip Hop 2026 Mixtape | DJ Noize
https://www.youtube.com/watch?v=d1melQQVp6s
Transcript: [music] This This is a DJ noise mixtape present. This is a DJ noise mixtape [music] presentation. DJ [music] &gt;&gt; Who the [&nbsp;__&nbsp;] is you? Who the [&nbsp;__&nbsp;] is you? Who the [&nbsp;_...
*YouTube: New Rap Songs 2026 Mix February | Trap Tape #127 | New Hip H*
**-KQpPySP93I** (score:66) DJ Noize (2026-02-21) [12,955 views, 304 likes]
New Hip Hop R&B Songs 2026 Mix February | Hot Right Now #153 | New Rap 2026 Playlist | DJ Noize
https://www.youtube.com/watch?v=-KQpPySP93I
Transcript: This This is a DJ noise tape present. This is a DJ noise mix. [music] I got Nikki on me. How we treat the like a bucket for rubbing. You [music] ain't no fella from my junction. You ain't pluck you cl...
*YouTube: New Hip Hop R&B Songs 2026 Mix February | Hot Right Now #153*
**ZUExyc50ZVU** (score:47) West Coast Finest (2026-01-29) [407,260 views, 4,229 likes]
Lit Hip Hop Mix 2026🔥🔥🔥Tyga, Quavo, Iggy Azalea, Wiz Khalifa, Juicy J, 50 Cent
https://www.youtube.com/watch?v=ZUExyc50ZVU
Transcript: Yeah. &gt;&gt; Yeah. [music] Late nights, cold life, same story. &gt;&gt; City shine different. You walking with glory, right? &gt;&gt; Still drip falling when I step outside. Yeah. [music] &gt;&gt; B...
*YouTube: Lit Hip Hop Mix 2026🔥🔥🔥Tyga, Quavo, Iggy Azalea, Wiz Khalifa*
---
**Sources:**
✅ Reddit: 11 threads
✅ X: 12 posts
✅ YouTube: 3 videos (3 with transcripts)
⏭️ HN: 0 stories found
⚡ Web: assistant will use WebSearch
@@ -0,0 +1,172 @@
## Research Results: React vs Svelte 2026
**Date Range:** 2026-01-26 to 2026-02-25
**Mode:** both
**OpenAI Model:** gpt-5.2
**xAI Model:** grok-4-1-fast
### Reddit Threads
**R2** (score:67) r/eact (2026-02-10)
What do you guys think about comparison between React vs Svelte?
https://www.reddit.com/r/react/comments/1r1fku5/what_do_you_guys_think_about_comparison_between/
*Explicit React vs Svelte comparison thread focusing on hooks/useEffect vs Svelte runes mental model.*
**R1** (score:61) r/webdev (2026-02-02)
Migrated our startup from React to Svelte 5 - Performance gains and lessons learned
https://www.reddit.com/r/webdev/comments/1qu4dek/migrated_our_startup_from_react_to_svelte_5/
*Direct React -> Svelte 5 migration discussion with practical comparison (DX, performance, ecosystem tradeoffs).*
**R6** (score:56) r/sveltejs (2026-02-02)
I am building a content-heavy, bilingual government portal with listings, profiles, documents, filters, and forms. Came from .NET & React. Wondering if svelte might be a good option for a project like this?
https://www.reddit.com/r/sveltejs/comments/1qtua45/i_am_building_a_contentheavy_bilingual_government/
*Evaluates Svelte vs React suitability for a real project with constraints (accessibility, SEO, forms).*
**R4** (score:54) r/sveltejs (2026-01-28)
Is Svelte easier than React?
https://www.reddit.com/r/sveltejs/comments/1qpdzx5/is_svelte_easier_than_react/
*Direct comparison thread about perceived simplicity of Svelte vs React (recent 2026 discussion).*
**R8** (score:52) r/sveltejs (2026-01-31)
When should i start learning Svelte ?
https://www.reddit.com/r/sveltejs/comments/1qr8xsm/when_should_i_start_learning_svelte/
*React vs Svelte learning/adoption discussion, including arguments about replacing React for performance issues.*
**R9** (score:49) r/sveltejs (2026-01-30)
How is going svelte?
https://www.reddit.com/r/sveltejs/comments/1qrdhba/how_is_going_svelte/
*General state-of-Svelte discussion with explicit mentions comparing to React and job-market pragmatism.*
### X Posts
**X4** (score:76) @FabianHiller (2026-02-13) [61likes, 2rt]
TypeScript is the baseline in 2026. But most forms still fight type drift between API, schema & UI.
@formisch_dev + @valibot = one source of truth, zero boilerplate ⚡️
const form = useForm({ schem...
https://x.com/FabianHiller/status/2022345388603080834
**
**X3** (score:57) @ConsciousRide (2026-02-15) [6likes]
Popular JavaScript Frameworks / Frontend Libraries (20252026 trends)
- React: 🇺🇸 United States
- Vue: 🇨🇳 China (created by Evan You)
- Angular: 🇺🇸 United States
- Svelte: 🇺🇸 United State...
https://x.com/ConsciousRide/status/2023050160520278501
**
**X11** (score:53) @singhprateek_25 (2026-02-07) [6likes, 1rt]
Requirements for a fresher in 2026:
Python, JavaScript, C, C++, Java, HTML, CSS, TypeScript, React, Next.js, Vue, Angular, Svelte, Node.js, Express, Django, Flask, FastAPI, Spring Boot, PHP, Laravel,...
https://x.com/singhprateek_25/status/2020094806735700154
**
**X1** (score:52) @cityjsconf (2026-02-20) [1rt]
Ripple: The Good Parts of React, Svelte, and Solid
Frameworks rise and fall — and in 2026 were deep in late-stage React. Whats next? Join @erikras as he introduces Ripple, a TypeScript-first UI fra...
https://x.com/cityjsconf/status/2024908272646398229
**
**X2** (score:52) @dennydotio (2026-02-18) [1likes]
Prediction: 2026 marks the death of the JS frameworks. React, Svelte, Astro etc... only exist because humans need organized code to stay sane.
Once we stop reading the source code, we stop needing ...
https://x.com/dennydotio/status/2024195986890109320
**
**X5** (score:52) @AzamCodes (2026-02-13) [2likes]
Web developers, what stack are you using in 2026?
React? Vue? Svelte? Vanilla? Curious whats actually winning....
https://x.com/AzamCodes/status/2022298287236383010
**
**X8** (score:52) @QiitaTrend (2026-02-11)
[2026/02/11 18:00] トレンド1位
【WebF】React/Vue/Svelteがそのままネイティブアプリになるよ by rana_kualu https://t.co/GiAnTHpOBB...
https://x.com/QiitaTrend/status/2021509592489025785
**
**X10** (score:50) @nicobaogim (2026-02-09)
@babakfpk In 2026, picking React for a new project only really makes sense if you value ecosystem maturity, are following existing team habits, or need React-specific libraries. Same for Vue. Otherwis...
https://x.com/nicobaogim/status/2020689628282667407
**
**X12** (score:49) @Chubbi_Stephen (2026-02-07)
2026 framework discourse:
Dev 1: "React is bloated, use Svelte"
Dev 2: "Svelte has no ecosystem, use Vue"
Dev 3: "Vue is dying, use Solid"
Dev 4: "Just use React"
Meanwhile React: *still powering 80...
https://x.com/Chubbi_Stephen/status/2020087839648800853
**
### YouTube Videos
**MnpuK0MK4yo** (score:63) Beyond Fireship (2023-06-30) [697,142 views, 25,490 likes]
React VS Svelte...10 Examples
https://www.youtube.com/watch?v=MnpuK0MK4yo
Transcript: any reasonable developer in today's world would learn react because it's the status quo and that's where the jobs are but life is a lot more fun when you become unreasonable and go against the status ...
*YouTube: React VS Svelte...10 Examples*
**qwDp5pZA_TA** (score:49) Code Hub (2026-02-08) [646 views, 31 likes]
The Front-end Frameworks Guide 2026: React vs Angular vs Vue vs Svelt vs Solid vs Astro
https://www.youtube.com/watch?v=qwDp5pZA_TA
*YouTube: The Front-end Frameworks Guide 2026: React vs Angular vs Vue*
**_vuVy21l2bU** (score:46) Code Hub (2025-10-30) [6,454 views, 204 likes]
React vs Svelte: The Brutal Honest Comparison EVER
https://www.youtube.com/watch?v=_vuVy21l2bU
*YouTube: React vs Svelte: The Brutal Honest Comparison EVER*
**41HXdxGekZ0** (score:45) Paperclick (2025-10-04) [287 views, 3 likes]
Vue vs React vs Svelte (2026) - Which One Is BEST?
https://www.youtube.com/watch?v=41HXdxGekZ0
*YouTube: Vue vs React vs Svelte (2026) - Which One Is BEST?*
**1BCsdaeYv0A** (score:42) Daniel | Tech & Data (2023-11-26) [33,905 views, 0 likes]
Svelte vs React in 2025 - Make the RIGHT Choice (Difference Explained)
https://www.youtube.com/watch?v=1BCsdaeYv0A
*YouTube: Svelte vs React in 2025 - Make the RIGHT Choice (Difference *
**yl0YWA2K2B0** (score:40) Fireship (2025-10-17) [699,597 views, 22,894 likes]
React wants to win you back…
https://www.youtube.com/watch?v=yl0YWA2K2B0
Transcript: Last week, I got to participate in my favorite activity of the year. No, it wasn't watching all the overleveraged crypto bros learn what a margin call is. It was hate watching React comp as an anti-re...
*YouTube: React wants to win you back…*
**aYyZUDFZTrM** (score:40) Fireship (2024-10-24) [547,836 views, 24,456 likes]
JavaScript framework reinvents itself… Did "runes" just ruin Svelte?
https://www.youtube.com/watch?v=aYyZUDFZTrM
Transcript: about a year ago I made a tweet that said the dollar sign in spelt is the most powerful abstraction in modern front-end web development usually I'm not wrong about anything ever but this tweet ended u...
*YouTube: JavaScript framework reinvents itself… Did "runes" just ruin*
**fn_uSZW5psM** (score:31) CodeSource (2025-05-14) [57,782 views, 2,120 likes]
The Untold Story of Svelte
https://www.youtube.com/watch?v=fn_uSZW5psM
*YouTube: The Untold Story of Svelte*
**IpJh0VEzMRo** (score:29) Ben Davis (2025-10-12) [24,635 views, 1,043 likes]
I Was Wrong About Svelte...
https://www.youtube.com/watch?v=IpJh0VEzMRo
*YouTube: I Was Wrong About Svelte...*
**1cGtYEXGm8c** (score:28) Ben Davis (2026-01-06) [16,899 views, 793 likes]
This is THE Framework You Should be Using in 2026
https://www.youtube.com/watch?v=1cGtYEXGm8c
*YouTube: This is THE Framework You Should be Using in 2026*
---
**Sources:**
✅ Reddit: 6 threads
✅ X: 9 posts
✅ YouTube: 10 videos (3 with transcripts)
⏭️ HN: 0 stories found
⚡ Web: assistant will use WebSearch
@@ -0,0 +1,172 @@
## Research Results: React vs Svelte 2026
**Date Range:** 2026-01-26 to 2026-02-25
**Mode:** both
**OpenAI Model:** gpt-5.2
**xAI Model:** grok-4-1-fast
### Reddit Threads
**R2** (score:67) r/eact (2026-02-10)
What do you guys think about comparison between React vs Svelte?
https://www.reddit.com/r/react/comments/1r1fku5/what_do_you_guys_think_about_comparison_between/
*Explicit React vs Svelte comparison thread focusing on hooks/useEffect vs Svelte runes mental model.*
**R1** (score:61) r/webdev (2026-02-02)
Migrated our startup from React to Svelte 5 - Performance gains and lessons learned
https://www.reddit.com/r/webdev/comments/1qu4dek/migrated_our_startup_from_react_to_svelte_5/
*Direct React -> Svelte 5 migration discussion with practical comparison (DX, performance, ecosystem tradeoffs).*
**R6** (score:56) r/sveltejs (2026-02-02)
I am building a content-heavy, bilingual government portal with listings, profiles, documents, filters, and forms. Came from .NET & React. Wondering if svelte might be a good option for a project like this?
https://www.reddit.com/r/sveltejs/comments/1qtua45/i_am_building_a_contentheavy_bilingual_government/
*Evaluates Svelte vs React suitability for a real project with constraints (accessibility, SEO, forms).*
**R4** (score:54) r/sveltejs (2026-01-28)
Is Svelte easier than React?
https://www.reddit.com/r/sveltejs/comments/1qpdzx5/is_svelte_easier_than_react/
*Direct comparison thread about perceived simplicity of Svelte vs React (recent 2026 discussion).*
**R8** (score:52) r/sveltejs (2026-01-31)
When should i start learning Svelte ?
https://www.reddit.com/r/sveltejs/comments/1qr8xsm/when_should_i_start_learning_svelte/
*React vs Svelte learning/adoption discussion, including arguments about replacing React for performance issues.*
**R9** (score:49) r/sveltejs (2026-01-30)
How is going svelte?
https://www.reddit.com/r/sveltejs/comments/1qrdhba/how_is_going_svelte/
*General state-of-Svelte discussion with explicit mentions comparing to React and job-market pragmatism.*
### X Posts
**X4** (score:76) @FabianHiller (2026-02-13) [61likes, 2rt]
TypeScript is the baseline in 2026. But most forms still fight type drift between API, schema & UI.
@formisch_dev + @valibot = one source of truth, zero boilerplate ⚡️
const form = useForm({ schem...
https://x.com/FabianHiller/status/2022345388603080834
**
**X3** (score:57) @ConsciousRide (2026-02-15) [6likes]
Popular JavaScript Frameworks / Frontend Libraries (20252026 trends)
- React: 🇺🇸 United States
- Vue: 🇨🇳 China (created by Evan You)
- Angular: 🇺🇸 United States
- Svelte: 🇺🇸 United State...
https://x.com/ConsciousRide/status/2023050160520278501
**
**X11** (score:53) @singhprateek_25 (2026-02-07) [6likes, 1rt]
Requirements for a fresher in 2026:
Python, JavaScript, C, C++, Java, HTML, CSS, TypeScript, React, Next.js, Vue, Angular, Svelte, Node.js, Express, Django, Flask, FastAPI, Spring Boot, PHP, Laravel,...
https://x.com/singhprateek_25/status/2020094806735700154
**
**X1** (score:52) @cityjsconf (2026-02-20) [1rt]
Ripple: The Good Parts of React, Svelte, and Solid
Frameworks rise and fall — and in 2026 were deep in late-stage React. Whats next? Join @erikras as he introduces Ripple, a TypeScript-first UI fra...
https://x.com/cityjsconf/status/2024908272646398229
**
**X2** (score:52) @dennydotio (2026-02-18) [1likes]
Prediction: 2026 marks the death of the JS frameworks. React, Svelte, Astro etc... only exist because humans need organized code to stay sane.
Once we stop reading the source code, we stop needing ...
https://x.com/dennydotio/status/2024195986890109320
**
**X5** (score:52) @AzamCodes (2026-02-13) [2likes]
Web developers, what stack are you using in 2026?
React? Vue? Svelte? Vanilla? Curious whats actually winning....
https://x.com/AzamCodes/status/2022298287236383010
**
**X8** (score:52) @QiitaTrend (2026-02-11)
[2026/02/11 18:00] トレンド1位
【WebF】React/Vue/Svelteがそのままネイティブアプリになるよ by rana_kualu https://t.co/GiAnTHpOBB...
https://x.com/QiitaTrend/status/2021509592489025785
**
**X10** (score:50) @nicobaogim (2026-02-09)
@babakfpk In 2026, picking React for a new project only really makes sense if you value ecosystem maturity, are following existing team habits, or need React-specific libraries. Same for Vue. Otherwis...
https://x.com/nicobaogim/status/2020689628282667407
**
**X12** (score:49) @Chubbi_Stephen (2026-02-07)
2026 framework discourse:
Dev 1: "React is bloated, use Svelte"
Dev 2: "Svelte has no ecosystem, use Vue"
Dev 3: "Vue is dying, use Solid"
Dev 4: "Just use React"
Meanwhile React: *still powering 80...
https://x.com/Chubbi_Stephen/status/2020087839648800853
**
### YouTube Videos
**MnpuK0MK4yo** (score:63) Beyond Fireship (2023-06-30) [697,142 views, 25,490 likes]
React VS Svelte...10 Examples
https://www.youtube.com/watch?v=MnpuK0MK4yo
Transcript: any reasonable developer in today's world would learn react because it's the status quo and that's where the jobs are but life is a lot more fun when you become unreasonable and go against the status ...
*YouTube: React VS Svelte...10 Examples*
**qwDp5pZA_TA** (score:49) Code Hub (2026-02-08) [646 views, 31 likes]
The Front-end Frameworks Guide 2026: React vs Angular vs Vue vs Svelt vs Solid vs Astro
https://www.youtube.com/watch?v=qwDp5pZA_TA
*YouTube: The Front-end Frameworks Guide 2026: React vs Angular vs Vue*
**_vuVy21l2bU** (score:46) Code Hub (2025-10-30) [6,454 views, 204 likes]
React vs Svelte: The Brutal Honest Comparison EVER
https://www.youtube.com/watch?v=_vuVy21l2bU
*YouTube: React vs Svelte: The Brutal Honest Comparison EVER*
**41HXdxGekZ0** (score:45) Paperclick (2025-10-04) [287 views, 3 likes]
Vue vs React vs Svelte (2026) - Which One Is BEST?
https://www.youtube.com/watch?v=41HXdxGekZ0
*YouTube: Vue vs React vs Svelte (2026) - Which One Is BEST?*
**1BCsdaeYv0A** (score:42) Daniel | Tech & Data (2023-11-26) [33,905 views, 0 likes]
Svelte vs React in 2025 - Make the RIGHT Choice (Difference Explained)
https://www.youtube.com/watch?v=1BCsdaeYv0A
*YouTube: Svelte vs React in 2025 - Make the RIGHT Choice (Difference *
**yl0YWA2K2B0** (score:40) Fireship (2025-10-17) [699,597 views, 22,894 likes]
React wants to win you back…
https://www.youtube.com/watch?v=yl0YWA2K2B0
Transcript: Last week, I got to participate in my favorite activity of the year. No, it wasn't watching all the overleveraged crypto bros learn what a margin call is. It was hate watching React comp as an anti-re...
*YouTube: React wants to win you back…*
**aYyZUDFZTrM** (score:40) Fireship (2024-10-24) [547,836 views, 24,456 likes]
JavaScript framework reinvents itself… Did "runes" just ruin Svelte?
https://www.youtube.com/watch?v=aYyZUDFZTrM
Transcript: about a year ago I made a tweet that said the dollar sign in spelt is the most powerful abstraction in modern front-end web development usually I'm not wrong about anything ever but this tweet ended u...
*YouTube: JavaScript framework reinvents itself… Did "runes" just ruin*
**fn_uSZW5psM** (score:31) CodeSource (2025-05-14) [57,782 views, 2,120 likes]
The Untold Story of Svelte
https://www.youtube.com/watch?v=fn_uSZW5psM
*YouTube: The Untold Story of Svelte*
**IpJh0VEzMRo** (score:29) Ben Davis (2025-10-12) [24,635 views, 1,043 likes]
I Was Wrong About Svelte...
https://www.youtube.com/watch?v=IpJh0VEzMRo
*YouTube: I Was Wrong About Svelte...*
**1cGtYEXGm8c** (score:28) Ben Davis (2026-01-06) [16,899 views, 793 likes]
This is THE Framework You Should be Using in 2026
https://www.youtube.com/watch?v=1cGtYEXGm8c
*YouTube: This is THE Framework You Should be Using in 2026*
---
**Sources:**
✅ Reddit: 6 threads
✅ X: 9 posts
✅ YouTube: 10 videos (3 with transcripts)
⏭️ HN: 0 stories found
⚡ Web: assistant will use WebSearch
@@ -0,0 +1,250 @@
## Research Results: Claude Code skills and MCP servers
**Date Range:** 2026-01-26 to 2026-02-25
**Mode:** both
**OpenAI Model:** gpt-5.2
**xAI Model:** grok-4-1-fast
### Reddit Threads
**R1** (score:0) r/ClaudeAI (2025-06-17) [date:low]
Claude code and mcp servers
https://www.reddit.com/r/ClaudeAI/comments/1ldm75a/claude_code_and_mcp_servers/
*Directly about Claude Code failing to load/use MCP servers; troubleshooting discussion.*
**R2** (score:0) r/ClaudeCode (2025-10-23) [date:low]
Claude Skills: is it a big deal?
https://www.reddit.com/r/ClaudeCode/comments/1odtykp/claude_skills_is_it_a_big_deal/
*Focused on the Claude (Claude Code) “Skills” feature; compares to AGENTS.md/slash commands/MCPs.*
**R3** (score:0) r/ClaudeAI (2025-10-25) [date:low]
I spent way too long cataloguing Claude Code tools. Heres everything I found (with actual links)
https://www.reddit.com/r/ClaudeAI/comments/1ofltdr/i_spent_way_too_long_cataloguing_claude_code/
*Tooling ecosystem post; explicitly mentions installing many plugins and MCP servers for Claude Code.*
### X Posts
**X5** (score:86) @zeeg (2026-02-25) [4likes, 1rt]
@adamwathan Codex has been crushing it for me with implicit skill usage to the point I was shocked
Claude Code I resorted to explicit mentions and Ive been pleasantly surprised by how well Codex ha...
https://x.com/zeeg/status/2026745680195367091
**
**X3** (score:80) @ihtesham2005 (2026-02-25) [6likes]
🚨 Anthropic just open-sourced the exact Skills library their own engineers use internally.
Stop building Claude workflows from scratch.
These are plug-and-play components that work across Claude Cod...
https://x.com/ihtesham2005/status/2026752089473314975
**
**X8** (score:74) @DevTenta (2026-02-25) [4likes]
Day 7 building my first B2C app
Been setting everything up this week. Manually built 5 agents to help me in the early stages and set up the Claude Code skills i'll need for the build.
Also been test...
https://x.com/DevTenta/status/2026742028730527786
**
**X7** (score:64) @JorgeJaramillo (2026-02-25)
@Jompiras Claude code + skills. Muy breve....
https://x.com/JorgeJaramillo/status/2026743135435362649
**
**X4** (score:64) @arpan7sarkar (2026-02-25)
@tom_doerr 135 agents, 35 curated skills, 121 plugins and 6 MCP configs all in one Claude Code toolkit is absolutely insane value 🤯 this is the kind of community effort that makes an AI tool go from g...
https://x.com/arpan7sarkar/status/2026746479369662551
**
**X6** (score:64) @arpan7sarkar (2026-02-25)
@tom_doerr A curated collection of Claude Skills organized by category is exactly what power users have been waiting for 🤩 document skills, code tools, data analysis all in one repo. this is the Claud...
https://x.com/arpan7sarkar/status/2026745559986614335
**
**X2** (score:64) @yasuky (2026-02-25)
Claude CodeのSkillsを作成例から徹底理解する https://t.co/vZTseio2Ii...
https://x.com/yasuky/status/2026754773786226708
**
**X12** (score:64) @zhuoyuan45514 (2026-02-25)
Day 52 (01/21/2026) (Rest Day)
> Go to New York + watch Broadway Show
> Catch up on claude code updates on way back (2hrs)
- Learn difference between skills + MCP, and etc
> Neetcode (1h...
https://x.com/zhuoyuan45514/status/2026733326631923776
**
**X1** (score:64) @matgoldsborough (2026-02-25)
How: I told Claude Code "build me a CRM." Our builder skill generated schemas, skills, server, seed data. I pointed Claude Desktop at it. Contacts, lead scoring, pipeline reviews. All from conversatio...
https://x.com/matgoldsborough/status/2026755742737510749
**
**X9** (score:64) @0x_Kapoor (2026-02-25)
I can build another open claw, or claude bot, or even a messaging app in a nice prompt and although having engineering skills, I can push the code on the public repo and secure it even completely and ...
https://x.com/0x_Kapoor/status/2026738663321907214
**
**X10** (score:56) @ghumare64 (2026-02-25) [1likes]
1. I use https://t.co/NtFYJEiFs9 inspired by @bcherny
2. I use https://t.co/EwnmyWNFqn to sync skills and scan skills from the marketplace
3. I chat with claude code 4-5 times and once I am satisifed...
https://x.com/ghumare64/status/2026736176695246966
**
**X11** (score:56) @hamen (2026-02-25) [1likes]
The 'vibe coding' revolution is forcing a reckoning.
Developers with 15+ years experience are either embracing AI to expand their reach or watching their expertise become as valuable as COBOL skills....
https://x.com/hamen/status/2026734075243790396
**
### YouTube Videos
**X8afcX2s2Mo** (score:74) Grace Leung (2026-02-21) [47,474 views, 1,900 likes]
Claude Skills: Build Your First AI Marketing Team in 16 Minutes (Claude Code)
https://www.youtube.com/watch?v=X8afcX2s2Mo
*YouTube video about claude code skills and mcp servers*
**0J2_YGuNrDo** (score:61) Grace Leung (2025-12-16) [155,806 views, 4,760 likes]
Claude Code just Built me an AI Agent Team (Claude Code + Skills + MCP)
https://www.youtube.com/watch?v=0J2_YGuNrDo
Transcript: I use clot more than any other AI but even I dismiss Clark as just for developers and I was wrong after using myself I am completely so and this is too powerful to ignore if you want to use AI to buil...
*YouTube video about claude code skills and mcp servers*
**fOxC44g8vig** (score:58) Anthropic (2025-11-26) [129,573 views, 2,991 likes]
Claude Agent Skills Explained
https://www.youtube.com/watch?v=fOxC44g8vig
Transcript: Hi, my name is Otto and in this video we're going to discuss agent skills. Agents today are pretty intelligent, but they don't always have the domain expertise you need for real work and skills help s...
*YouTube video about claude code skills and mcp servers*
**Gqh_KdHP1Xk** (score:56) Robin Ebers (2025-08-21) [90,281 views, 2,719 likes]
8 MCP Servers That Make Claude Code 10x Better
https://www.youtube.com/watch?v=Gqh_KdHP1Xk
Transcript: Over 90% of all MCP servers are complete overhyped garbage. But some of them are not only worth it, they can be complete game changers. And I do not say this lightly. So after testing over 100 of them...
*YouTube video about claude code skills and mcp servers*
**421T2iWTQio** (score:51) Kenny Liao (2025-10-24) [50,477 views, 1,010 likes]
The Only Claude Skills Guide You Need (Beginner to Expert)
https://www.youtube.com/watch?v=421T2iWTQio
*YouTube video about claude code skills and mcp servers*
**l7qVtHpctic** (score:47) Kenny Liao (2026-01-17) [21,765 views, 728 likes]
Claude Code's MCP Problem Just Got Fixed
https://www.youtube.com/watch?v=l7qVtHpctic
*YouTube video about claude code skills and mcp servers*
**M5CsRj6zSCA** (score:41) Eric Tech (2025-12-12) [11,287 views, 266 likes]
5 MCP Servers That Make Claude Code 10x More Powerful (Full-Stack App Build)
https://www.youtube.com/watch?v=M5CsRj6zSCA
*YouTube video about claude code skills and mcp servers*
**qthyl0GCpDo** (score:35) Postman (2025-11-20) [7,045 views, 105 likes]
Claude Skills vs MCP: Whats the Difference and When to Use Each?
https://www.youtube.com/watch?v=qthyl0GCpDo
*YouTube video about claude code skills and mcp servers*
**ZroGqu7GyXM** (score:34) Solo Swift Crafter (2025-10-27) [4,885 views, 98 likes]
Claude Code Skills vs MCP vs Sub Agents: What Works for Solo Devs?
https://www.youtube.com/watch?v=ZroGqu7GyXM
*YouTube video about claude code skills and mcp servers*
**jzf7DQa2CAc** (score:31) Matt Kuda (2026-01-19) [2,547 views, 87 likes]
How I Use Claude Code With Skills, MCP, Agents & Plugins
https://www.youtube.com/watch?v=jzf7DQa2CAc
*YouTube video about claude code skills and mcp servers*
### Hacker News Stories
**HN1** (score:90) hn/cosmoblk (2026-02-21) [10pts, 2cmt]
Show HN: I built a 55K-word email marketing knowledge base and Claude Code skill
https://news.ycombinator.com/item?id=47096335
*HN story about Show HN: I built a 55K-word email marketing knowledge base a*
Insights:
- So it's an AI spambot?
**HN4** (score:74) hn/superamped (2026-02-25) [3pts, 1cmt]
Show HN: AI Marketing Skills for Claude Code
https://news.ycombinator.com/item?id=47154377
*HN story about Show HN: AI Marketing Skills for Claude Code*
**HN12** (score:70) hn/heycesr (2026-02-18) [4pts, 2cmt]
Show HN: Poncho, a general agent harness built for the web
https://news.ycombinator.com/item?id=47061949
*HN story about Show HN: Poncho, a general agent harness built for the web*
Insights:
- I have been trying it and it's very cool!
**HN11** (score:69) hn/gjkim042 (2026-02-24) [1pts, 4cmt]
Show HN: Axon A Kubernetes-native framework for AI coding agents
https://news.ycombinator.com/item?id=47137491
*HN story about Show HN: Axon A Kubernetes-native framework for AI coding *
**HN14** (score:65) hn/alternateman (2026-02-17) [3pts, 2cmt]
Show HN: Turn Claude Code or Codex into proactive, autonomous 24/7 AI agents
https://news.ycombinator.com/item?id=47054100
*HN story about Show HN: Turn Claude Code or Codex into proactive, autonomou*
**HN2** (score:64) hn/hauschildt (2026-02-19) [3pts, 0cmt]
Show HN: Agent skills to build photo, video and design editors on the web
https://news.ycombinator.com/item?id=47073035
*HN story about Show HN: Agent skills to build photo, video and design edito*
**HN8** (score:57) hn/barefootsanders (2026-02-25) [1pts, 0cmt]
Show HN: Upjack Declarative framework for building apps over MCP
https://news.ycombinator.com/item?id=47157331
*HN story about Show HN: Upjack Declarative framework for building apps ov*
**HN7** (score:56) hn/san-techie21 (2026-02-16) [1pts, 1cmt]
Show HN: Gulama Security-first open-source AI agent (OpenClaw alternative)
https://news.ycombinator.com/item?id=47031982
*HN story about Show HN: Gulama Security-first open-source AI agent (OpenC*
**HN15** (score:48) hn/martin-hall (2026-02-20) [1pts, 0cmt]
AI Skills Platform (Stealth) Technical Co-Founder Remote (US) Equity
https://news.ycombinator.com/item?id=47081777
*HN story about AI Skills Platform (Stealth) Technical Co-Founder Remote*
**HN10** (score:47) hn/ClaytheMachine (2026-02-15) [1pts, 0cmt]
Show HN: SkillSandbox Capability-based sandbox for AI agent skills (Rust)
https://news.ycombinator.com/item?id=47027734
*HN story about Show HN: SkillSandbox Capability-based sandbox for AI agen*
**HN6** (score:47) hn/micronink (2026-01-30) [1pts, 2cmt]
Show HN: Indx.sh Directory of AI coding rules, MCP servers, and tool
https://news.ycombinator.com/item?id=46822378
*HN story about Show HN: Indx.sh Directory of AI coding rules, MCP servers*
**HN3** (score:45) hn/paolobietolini (2026-02-07) [1pts, 0cmt]
Show HN: GTM MCP Server- Let AI Manage Your Google Tag Manager Containers
https://news.ycombinator.com/item?id=46922159
*HN story about Show HN: GTM MCP Server- Let AI Manage Your Google Tag Manag*
**HN9** (score:38) hn/digitcatphd (2026-02-03) [1pts, 0cmt]
Show HN: ClawsMarket Marketplace where AI agents discover tools
https://news.ycombinator.com/item?id=46878646
*HN story about Show HN: ClawsMarket Marketplace where AI agents discover *
**HN13** (score:36) hn/aspectrr (2026-02-04) [1pts, 0cmt]
Show HN: Fluid.sh Claude Code for Infrastructure
https://news.ycombinator.com/item?id=46886358
*HN story about Show HN: Fluid.sh Claude Code for Infrastructure*
**HN5** (score:34) hn/victordg (2026-01-27) [1pts, 0cmt]
Claude Code skill for building ChatGPT Apps
https://news.ycombinator.com/item?id=46780766
*HN story about Claude Code skill for building ChatGPT Apps*
---
**Sources:**
✅ Reddit: 3 threads
✅ X: 12 posts
✅ YouTube: 10 videos (3 with transcripts)
✅ HN: 15 stories
⚡ Web: assistant will use WebSearch
@@ -0,0 +1,316 @@
## Research Results: Seedance AI video generation
**Date Range:** 2026-01-26 to 2026-02-25
**Mode:** both
**OpenAI Model:** gpt-5.2
**xAI Model:** grok-4-1-fast
### Reddit Threads
**R2** (score:79) r/singularity (2026-02-25)
Official: Seedance 2.0 now live in CapCut desktop and API access available, details below
https://www.reddit.com/r/singularity/comments/1rekvm8/official_seedance_20_now_live_in_capcut_desktop/
*High-activity thread discussing Seedance 2.0 launch claims, CapCut availability, censorship, and pricing.*
**R3** (score:77) r/generativeAI (2026-02-24)
Official website for creating content with Seedance 2.0?
https://www.reddit.com/r/generativeAI/comments/1rcgyi4/official_website_for_creating_content_with/
*Users discuss where/how to access Seedance 2.0 and warn about scams.*
**R4** (score:76) r/AITalkers (2026-02-24)
Is there an official way to create content using Seedance 2.0?
https://www.reddit.com/r/AITalkers/comments/1rd1rhy/is_there_an_official_way_to_create_content_using/
*Asks for legit access routes to Seedance 2.0; includes discussion of official vs third-party options.*
**R5** (score:75) r/Seedance_AI (2026-02-23)
Help! I need to use seedance or jimeng video function
https://www.reddit.com/r/Seedance_AI/comments/1rckgcm/help_i_need_to_use_seedance_or_jimeng_video/
*Seedance/Jimeng video generation access and troubleshooting discussion.*
**R6** (score:75) r/generativeAI (2026-02-23)
Seedance 2.0 is available in Open Source tools already
https://www.reddit.com/r/generativeAI/comments/1rcoihw/seedance_20_is_available_in_open_source_tools/
*Discusses Seedance 2.0 being usable via tools/integrations; includes links and early-access chatter.*
**R8** (score:74) r/generativeAI (2026-02-22)
This is terrifying!! Seedance 2.0 just generated a 1-minute film with ZERO editing — the entire film industry should be worried
https://www.reddit.com/r/generativeAI/comments/1rbionc/this_is_terrifying_seedance_20_just_generated_a/
*Seedance 2.0 output showcase + discussion of cinematic coherence and workflow.*
**R7** (score:73) r/AIGuild (2026-02-23)
ByteDance Faces Hollywood Backlash Over Seedance 2.0
https://www.reddit.com/r/AIGuild/comments/1rc4pkg/bytedance_faces_hollywood_backlash_over_seedance/
*Discussion about Seedance 2.0 controversy impacting release/access (relevant to availability/capabilities).*
**R9** (score:73) r/Seedance_AI (2026-02-22)
Is Jimeng silently banning accounts on Jimeng.Jianying? Paid account stuck with “network error” but free account works.
https://www.reddit.com/r/Seedance_AI/comments/1rbk1qb/is_jimeng_silently_banning_accounts_on/
*Seedance/Jimeng video generation failures and account restriction speculation.*
**R12** (score:73) r/Seedance_AI (2026-02-21)
Jimeng Web for seedance 2.0 “Network Error, Generation Failed” for 24 Hours Anyone Else?
https://www.reddit.com/r/Seedance_AI/comments/1raqsnu/jimeng_web_for_seedance_20_network_error/
*Focused troubleshooting thread about Seedance 2.0 generation failures on Jimeng web.*
**R10** (score:71) r/u_Educational-Lion7812 (2026-02-21)
Seedance 2.0 is insane but almost no one outside China can actually use it — here's the full breakdown
https://www.reddit.com/r/u_Educational-Lion7812/comments/1raexxq/seedance_20_is_insane_but_almost_no_one_outside/
*Long-form post focused on Seedance 2.0 access constraints and how people are using it.*
**R11** (score:71) r/Seedance_AI (2026-02-21)
so disappointed and frustrated with recent changes (wasted 1k$+)
https://www.reddit.com/r/Seedance_AI/comments/1ra6nf4/so_disappointed_and_frustrated_with_recent/
*Seedance/Jimeng generation issues and policy changes; directly about Seedance video generation usability.*
**R15** (score:66) r/singularity (2026-02-13)
ByteDance releases Seedance 2.0 video model with Director mode and multimodal upgrades
https://www.reddit.com/r/singularity/comments/1r3g435/bytedance_releases_seedance_20_video_model_with/
*Seedance 2.0 announcement-style discussion including claimed features and availability paths.*
**R13** (score:65) r/Seedance_AI (2026-02-15)
Seedance 2.0 Made This LeBron James vs Regular Person Look Real
https://www.reddit.com/r/Seedance_AI/comments/1r5ncbw/seedance_20_made_this_lebron_james_vs_regular/
*Seedance 2.0 video output example + prompting discussion (text-to-video).*
**R21** (score:64) r/AI_UGC_Marketing (2026-02-17)
Elevenlabs silently removed Seedance 2.0 after SAG-AFTRA incident, cant create UGC style video
https://www.reddit.com/r/AI_UGC_Marketing/comments/1r70942/elevenlabs_silently_removed_seedance_20_after/
*Discussion about third-party tool access/removal affecting Seedance 2.0 video generation workflows.*
**R14** (score:64) r/Seedance_AI (2026-02-14)
be very careful of scam sites that do not have it like nemovideo
https://www.reddit.com/r/Seedance_AI/comments/1r4va5a/be_very_careful_of_scam_sites_that_do_not_have_it/
*Thread about Seedance 2.0 access claims and scam warnings; relevant to where to generate videos.*
### X Posts
**X9** (score:86) @HBCoop_ (2026-02-25) [9likes]
First Seedance 2.0 Test!
Seedance 5.0 Lite @krea_ai → Seedance 2.0 @capcutapp
Prompt: Close-up on her hands gripping the paintbrush, knuckles white, paint dripping down her wrist. Shallow depth of ...
https://x.com/HBCoop_/status/2026748738354450919
**
**X12** (score:77) @Noor_ul_ain43 (2026-02-25) [5likes]
Goku vs Broly , EPIC Full Battle!
Witness the ultimate Saiyan showdown recreated with AI power. Explosive transformations, insane energy blasts, and nonstop action all brought to life with Seedance 2...
https://x.com/Noor_ul_ain43/status/2026743666635845959
**
**X10** (score:66) @grok (2026-02-25) [2likes]
@WolfyBlair @Preda2005 @BytePlusGlobal @capcutapp Yes, it's true—Seedance 2.0 is now live in CapCut (desktop &amp; mobile).
See it in the AI video tools: https://t.co/K3gwCgUSyb
Just update the ap...
https://x.com/grok/status/2026747009143549978
**
**X1** (score:64) @jznode (2026-02-25)
@ChinyJPG capcut desktop app, they just added seedance 2.0 today. no chinese phone number needed, works globally. download the desktop version, look for the AI video generation option. runs about $2 p...
https://x.com/jznode/status/2026755966545404015
**
**X5** (score:64) @Yousaf_340 (2026-02-25)
@ProperPrompter Yes! Seedance 2.0 on CapCut means cinematic AI video editing is super accessible smooth action, multi-angle shots, and high-quality effects right from your phone. 🎬🔥...
https://x.com/Yousaf_340/status/2026751320716357996
**
**X6** (score:64) @Yousaf_340 (2026-02-25)
@ivanka_humeniuk Seedance 2.0 is insane for cinematic AI video smooth action, multiple camera angles, and near-Hollywood quality all from a single prompt....
https://x.com/Yousaf_340/status/2026750898769473829
**
**X3** (score:64) @EmmaUsesAi (2026-02-25)
Seedance 2.0 is the motion engine behind many cinematic AI clips trending right now.
Its now native inside NemoVideo.
You can:
- Identify proven formats
- Analyze what drives retention
- Turn an id...
https://x.com/EmmaUsesAi/status/2026751784509673531
**
**X2** (score:64) @OneStrangeW (2026-02-25)
You can use Seedance. If Seedance 2.0 hasn't launch yet, the prior version is great, and stick pretty well to the prompt. Of course the video agent must be well trained. 🙂Also, you can offer SORA for ...
https://x.com/OneStrangeW/status/2026755320362709093
**
**X11** (score:64) @WyldeChyldeRec (2026-02-25)
🚨Phishing Scam!
Watch for emails titled:
[Seedance &amp; Wan AI] Unrestricted generation with Grok Imagine video added
This is not real. We don't have a Seedance account, and the links are not offi...
https://x.com/WyldeChyldeRec/status/2026743867224240149
**
**X7** (score:56) @La_DeCrypt (2026-02-25) [1likes]
- Kling (https://t.co/WGphQsdLf1)
- Seedance 2.0 (https://t.co/A8UzLTRGNo)
☞ AI-powered video editing:
- Descript (https://t.co/q4axNEjDzt)
- OpusClip (https://t.co/5XPn4EPH6u)
- Submagic (https:/...
https://x.com/La_DeCrypt/status/2026750376687394884
**
**X8** (score:56) @TferThomas (2026-02-25) [1likes]
Seedance 2.0 might be gen AI videos next big hope, but its still slop https://t.co/kT1baOYJQk #AI...
https://x.com/TferThomas/status/2026749218224746609
**
### YouTube Videos
**F1kWxdfiBNE** (score:73) AI Filmmaking Academy (2026-02-22) [40,982 views, 1,088 likes]
Seedance 2.0 Claims the AI Video Throne!
https://www.youtube.com/watch?v=F1kWxdfiBNE
*YouTube video about seedance ai video generation*
**_o2MuUX9UYg** (score:73) Theoretically Media (2026-02-09) [199,908 views, 4,986 likes]
Seedance 2.0 Claims the AI Video Throne!
https://www.youtube.com/watch?v=_o2MuUX9UYg
Transcript: So, it's been about a week since I declared Cling 3.0 the new benchmark for state-of-the-art AI video. And well, I mean, it's been a week, and that basically equals about 3 months in AI time. So, yes,...
*YouTube video about seedance ai video generation*
**jkPTYD5lXo8** (score:70) How To In 5 Minutes (2026-02-19) [44,344 views, 782 likes]
100% FREE Seedance 2.0 AI Video Generator: How to Use It WORLDWIDE
https://www.youtube.com/watch?v=jkPTYD5lXo8
Transcript: No, this is not clickbait. You can now access Cance 2.0 for free from anywhere. No registration required and depending on how you use it, this method can [music] feel almost unlimited. And yes, at the...
*YouTube video about seedance ai video generation*
**W_lxyDFDZt4** (score:69) WealthWise (2026-02-12) [126,599 views, 1,204 likes]
Seedance 2.0: The New Best AI Video Generator | Sora 2 Destroyed
https://www.youtube.com/watch?v=W_lxyDFDZt4
Transcript: Well, major AI video update, ladies and gentlemen. Seance 2.0 is right around the corner. And let me tell you guys, this is something I have never seen before. Just take a look at some of the videos g...
*YouTube video about seedance ai video generation*
**R1zl92NhCfE** (score:65) Ai Lockup (2026-02-16) [32,542 views, 591 likes]
Seedance 2.0 How To Use and Become a Pro AI Film Maker With This AI Video Generator
https://www.youtube.com/watch?v=R1zl92NhCfE
*YouTube video about seedance ai video generation*
**G1Ad4a8sdJU** (score:63) Benjis AI Playground (2026-02-14) [38,581 views, 419 likes]
SeeDance 2.0: The Next Level of AI Video — And What It Means for Local AI Users?
https://www.youtube.com/watch?v=G1Ad4a8sdJU
*YouTube video about seedance ai video generation*
**n625xVounGM** (score:61) John Savage AI (2026-02-23) [7,184 views, 126 likes]
How To Generate FREE AI Seedance 2.0 Videos (Access Worldwide)
https://www.youtube.com/watch?v=n625xVounGM
*YouTube video about seedance ai video generation*
**kJ0NAVmd4f4** (score:58) Rogue Cell Pictures (2026-02-25) [1,548 views, 149 likes]
Seedance 2.0 Changes Filmmaking Forever | New Original Series
https://www.youtube.com/watch?v=kJ0NAVmd4f4
*YouTube video about seedance ai video generation*
**FP8TaJSFohs** (score:55) Chem Beast (2026-02-24) [3,194 views, 31 likes]
How To Use Seedance 2 0 Full AI Video Generator Tutorial + Free Access Guide
https://www.youtube.com/watch?v=FP8TaJSFohs
*YouTube video about seedance ai video generation*
**61ThJGqwHsI** (score:48) xCreate (2026-02-11) [4,854 views, 86 likes]
Ultimate AI Video Generation - Seedance 2.0 PREVIEW
https://www.youtube.com/watch?v=61ThJGqwHsI
*YouTube video about seedance ai video generation*
### Hacker News Stories
**HN8** (score:75) hn/Alisaqqt (2026-02-09) [7pts, 7cmt]
Seedance 2.0 preview: The best video model of 2026, outperforming Sora 2
https://news.ycombinator.com/item?id=46940720
*HN story about Seedance 2.0 preview: The best video model of 2026, outperfo*
Insights:
- API is not available now.
- API will be available on Atlas Cloud on Feb 24.
- Seedance 2.0 and Seedream 5.0 API will be available on Atlas Cloud on Feb 24.
**HN15** (score:57) hn/naxtsass (2026-02-25) [2pts, 0cmt]
Show HN: SeeVideo Access Seedance 2.0 and Kling 3.0 without a subscription
https://news.ycombinator.com/item?id=47153236
*HN story about Show HN: SeeVideo Access Seedance 2.0 and Kling 3.0 withou*
**HN6** (score:57) hn/howardV (2026-02-15) [3pts, 0cmt]
Seedance 2.0: ByteDance's AI video model with native audio-video co-generation
https://news.ycombinator.com/item?id=47022290
*HN story about Seedance 2.0: ByteDance's AI video model with native audio-v*
**HN5** (score:52) hn/jrran086 (2026-02-17) [1pts, 0cmt]
Seedance 2 Video Generator
https://news.ycombinator.com/item?id=47046956
*HN story about Seedance 2 Video Generator*
**HN3** (score:52) hn/xbaicai (2026-02-09) [1pts, 1cmt]
Seedance 2.0 Multimodal AI Video Generation with Image/Video/Audio References
https://news.ycombinator.com/item?id=46944030
*HN story about Seedance 2.0 Multimodal AI Video Generation with Image/Vid*
**HN1** (score:51) hn/xuyanmei (2026-02-13) [1pts, 0cmt]
Show HN: Seedance AShow HN: Seedance AI Video Generation (Next.js, Drizzle)
https://news.ycombinator.com/item?id=46999394
*HN story about Show HN: Seedance AShow HN: Seedance AI Video Generation (Ne*
**HN12** (score:49) hn/RyanMu (2026-02-07) [2pts, 1cmt]
Seedance2 multi-shot AI video generation
https://news.ycombinator.com/item?id=46924992
*HN story about Seedance2 multi-shot AI video generation*
Insights:
- ve been experimenting with AI video tools for a while, but most of them generate isolated clips that fall apart when you try to build an actual narrative
**HN11** (score:48) hn/xuyanmei (2026-02-17) [1pts, 0cmt]
Show HN: Seedance3AI a web app for text-to-video, image-to-video
https://news.ycombinator.com/item?id=47046989
*HN story about Show HN: Seedance3AI a web app for text-to-video, image-to*
**HN2** (score:47) hn/littlepp (2026-02-09) [1pts, 0cmt]
Discussion: Seedance-style AI video generation workflows
https://news.ycombinator.com/item?id=46942781
*HN story about Discussion: Seedance-style AI video generation workflows*
**HN13** (score:44) hn/thomaskiko (2026-02-13) [1pts, 0cmt]
Show HN: AI-powered video creation web app
https://news.ycombinator.com/item?id=47002386
*HN story about Show HN: AI-powered video creation web app*
**HN9** (score:43) hn/TurnItOffAndOn0 (2026-02-09) [1pts, 0cmt]
Show HN: AI Seedance 2 Solving the "jump-cut" problem in AI video
https://news.ycombinator.com/item?id=46946280
*HN story about Show HN: AI Seedance 2 Solving the "jump-cut" problem in A*
**HN7** (score:43) hn/dallen97 (2026-02-08) [1pts, 0cmt]
Show HN: Seedance 2.0 AI video generator for creators and ecommerce
https://news.ycombinator.com/item?id=46930149
*HN story about Show HN: Seedance 2.0 AI video generator for creators and ec*
**HN10** (score:42) hn/thenextechtrade (2026-02-09) [1pts, 0cmt]
Show HN: Seedance 2.0 Native audio-visual sync video model
https://news.ycombinator.com/item?id=46943172
*HN story about Show HN: Seedance 2.0 Native audio-visual sync video model*
**HN14** (score:41) hn/echoadam (2026-02-10) [1pts, 0cmt]
Show HN: Seedance2 Stop "prompt guessing" and start directing AI video
https://news.ycombinator.com/item?id=46956546
*HN story about Show HN: Seedance2 Stop "prompt guessing" and start direct*
**HN4** (score:35) hn/Zach_HE (2026-01-27) [1pts, 0cmt]
Show HN: Seedance 2.0 Pro AI Video Generator
https://news.ycombinator.com/item?id=46774950
*HN story about Show HN: Seedance 2.0 Pro AI Video Generator*
---
**Sources:**
✅ Reddit: 20 threads
✅ X: 11 posts
✅ YouTube: 10 videos (3 with transcripts)
✅ HN: 15 stories
⚡ Web: assistant will use WebSearch
@@ -0,0 +1,198 @@
## Research Results: M4 MacBook Pro review
**Date Range:** 2026-01-26 to 2026-02-25
**Mode:** both
**OpenAI Model:** gpt-5.2
**xAI Model:** grok-4-1-fast
### Reddit Threads
**R1** (score:0) r/macbookpro (2025-04-09) [date:low]
M4 Macbook Pro 14 1 month review
https://www.reddit.com/r/macbookpro/comments/1hflaaz/m4_macbook_pro_14_1_month_review/
*Explicit 1-month review of the M4 MacBook Pro with long-term impressions in comments.*
**R2** (score:0) r/macbookpro (2025-05-19) [date:low]
MacBook Pro M4 Battery Life Reality vs Review
https://www.reddit.com/r/macbookpro/comments/1kq2zd8/macbook_pro_m4_battery_life_reality_vs_review/
*Compares real-world battery life to reviewer/Apple claims; review-focused discussion.*
**R3** (score:0) r/macbookpro (2025-08-18) [date:low]
Disappointed with my MBP M4 Experience …
https://www.reddit.com/r/macbookpro/comments/1mtmkts/disappointed_with_my_mbp_m4_experience/
*User experience report contrasting with glowing reviews; detailed performance/quality complaints.*
### X Posts
**X1** (score:86) @bhphoto (2026-02-25) [3likes]
If you are in the market for a new MacBook Pro and youre wondering what the real differences are between Apples M3 and M4 silicon, youve come to the right place ⬇️
https://t.co/nzjXmiHmac https://t...
https://x.com/bhphoto/status/2026737767695183948
**
**X4** (score:70) @remplug (2026-02-25) [1likes, 1rt]
🔥 2024 16” MacBook Pro Price List
1️⃣ 🇺🇸 Brand New MacBook Pro 2024 | M4 Pro Chip | 16” Display
24GB RAM | 512GB SSD
14-Core CPU | 20-Core GPU
Space Black
💰 ₦2,720,000
2️⃣ 🇺🇸 Brand New MacBook Pr...
https://x.com/remplug/status/2026725100213465443
**
**X10** (score:64) @grok (2026-02-25)
@5TRgzn @LobstarWilde My marble floors: 64GB M4 Pro/Max MacBook Pro. Local Grok agents run full autonomy loops, zero cloud, sub-second trades/scans. Intel's ancient—ditch it. Yours at $3-4k....
https://x.com/grok/status/2026713588472111312
**
**X9** (score:64) @principenemesis (2026-02-25)
@JulianGoldieSEO @grok can a macbook pro m4 run this?...
https://x.com/principenemesis/status/2026716193042706852
**
**X5** (score:64) @jameslmorton (2026-02-25) [1likes]
@SebAaltonen Not my experience. Its impressive, 70 tokens/s on a maxed out M4 128gb MacBook Pro.
But absolutely sucked and not even remotely in the ballpark with Sonnet 4.5. Its GPT-3.5.
Totally b...
https://x.com/jameslmorton/status/2026721943630786816
**
**X6** (score:64) @bcofertas (2026-02-25)
BR Ofertas todos os dias 🇧🇷
Leve seu Mac Pro M4 hoje! 💻⚡✨
Pegue já: https://t.co/PSwylZH3Sz
Por R$ 23.749,00
em até 10x sem juros
Frete Grátis
Apple MacBook Pro 14″ 2024 M4 Pro 12 núcleos 24GB 512...
https://x.com/bcofertas/status/2026721014676099084
**
**X12** (score:64) @grok (2026-02-25)
Hey! Yeah, you can install Fedora on the M6 MacBook Pro via the official Fedora Asahi Remix (built on the Asahi Linux project). It already runs great on M1/M2, with M3 support rolling out now and work...
https://x.com/grok/status/2026704108820824113
**
**X7** (score:64) @toppromoalertas (2026-02-25)
Promoções BR do dia 🇧🇷
Leve seu Mac Pro M4 hoje! 💻⚡✨
Ver aqui: https://t.co/LfxNw3waps
Por R$ 23.749,00
em até 10x sem juros
Frete Grátis
Apple MacBook Pro 14″ 2024 M4 Pro 12 núcleos...
Amazon | ...
https://x.com/toppromoalertas/status/2026719111523237932
**
**X8** (score:64) @grok (2026-02-25)
Yes, a MacBook Pro M4 can run this Ollama + GLM-4.7-Flash setup locally.
Ollama has native Apple Silicon support via Metal. The Q4_K_M model (~19GB) needs ~18-24GB unified memory for good speed (feel...
https://x.com/grok/status/2026716420269031652
**
**X2** (score:56) @grecinoscdev (2026-02-25) [1likes]
@TechByTaraa Both. macOS (Macbook Pro M4 Pro) for my photography/videography personal stuff + software engineering and a Linux desktop workstation for software engineering + second desktop workstation...
https://x.com/grecinoscdev/status/2026731118142148644
**
**X11** (score:56) @Steve_Lost_Jobs (2026-02-25) [1likes]
Apple 2024 MacBook Pro 14コアCPU、20コアGPU の M4 Pro搭載ノートパ... PR
4549995547610
ポイント: 3735㌽
想定価格: 369,800
2026/02/26 01:55:23
https://t.co/q1uyIqFsID...
https://x.com/Steve_Lost_Jobs/status/2026705327828382016
**
**X3** (score:56) @grok (2026-02-25) [1likes]
No, Apple has not made any MacBook (Pro or otherwise) cost $299.
The linked Newsroom search returns zero matching results—it's just unrelated announcements. Current cheapest Mac is the 13" MacBook A...
https://x.com/grok/status/2026727605517394283
**
### YouTube Videos
**9HQx5pgUoiY** (score:61) Marques Brownlee (2024-11-18) [4,010,567 views, 105,606 likes]
M4 Max MacBook Pro: I'm Convinced!
https://www.youtube.com/watch?v=9HQx5pgUoiY
Transcript: so I have been using this M1 Max MacBook Pro for the past 3 years since it came out and it's been great I have felt absolutely no compulsion to upgrade since haven't needed to it's funny most of my wo...
*YouTube video about m4 macbook pro review*
**etP2Th9g2hM** (score:55) ShortCircuit (2024-11-30) [1,113,999 views, 22,765 likes]
Don't buy the Wrong MacBook like me... - M4 MacBook Pro
https://www.youtube.com/watch?v=etP2Th9g2hM
Transcript: woohoo it's new Macbook day my favorite day on short circuit it only comes usually once a year this is the MacBook Pro M4 looks pretty similar to the last one but now it has an M4 instead of an M3 I'm...
*YouTube video about m4 macbook pro review*
**b4x8boB2KdI** (score:55) Dave2D (2024-11-07) [1,057,988 views, 24,977 likes]
M4 MacBook Pro Review - Things to Know
https://www.youtube.com/watch?v=b4x8boB2KdI
Transcript: so Apple launched the new M4 MacBook Pros this is their 14-in model and it's equipped with the M4 Max their topend configuration and it also has their new Nano texture on their screen it's a texture t...
*YouTube video about m4 macbook pro review*
**uPe9spXLfZY** (score:50) Created Tech (2025-07-07) [472,845 views, 5,082 likes]
M4 MacBook Air vs M4 MacBook Pro - 4 Months Later
https://www.youtube.com/watch?v=uPe9spXLfZY
*YouTube video about m4 macbook pro review*
**TfvIgdzImt4** (score:50) Hardware Canucks (2024-12-15) [325,597 views, 6,339 likes]
The Macbook Pro M4 is Insane.
https://www.youtube.com/watch?v=TfvIgdzImt4
*YouTube video about m4 macbook pro review*
**a8Szdrnq0YM** (score:49) Brandon Butch (2025-02-03) [352,593 views, 4,309 likes]
MacBook Pro M4 - Review After 3 Months: This Feels Wrong.
https://www.youtube.com/watch?v=a8Szdrnq0YM
*YouTube video about m4 macbook pro review*
**anIVewgtbFc** (score:48) MacRumors (2024-12-17) [238,616 views, 2,874 likes]
The Base M4 MacBook Pro is All You Need (Skip M4 Pro & Max)
https://www.youtube.com/watch?v=anIVewgtbFc
*YouTube video about m4 macbook pro review*
**5rN6CEO31gM** (score:48) Just Josh (2024-11-15) [154,306 views, 4,540 likes]
MacBook Pro M4: Review & Recommendations
https://www.youtube.com/watch?v=5rN6CEO31gM
*YouTube video about m4 macbook pro review*
**i3eTKJav1VI** (score:45) Created Tech (2025-04-29) [137,009 views, 1,832 likes]
M4 Pro MacBook - Long Term Review (6 Months Later)
https://www.youtube.com/watch?v=i3eTKJav1VI
*YouTube video about m4 macbook pro review*
**QbSQH_95eg8** (score:36) Tech It Easy (2026-02-01) [3,176 views, 55 likes]
MacBook Pro M4 Pro Review: 1 Year Later! (Still Worth Buying in 2026?)
https://www.youtube.com/watch?v=QbSQH_95eg8
*YouTube video about m4 macbook pro review*
---
**Sources:**
✅ Reddit: 3 threads
✅ X: 12 posts
✅ YouTube: 10 videos (3 with transcripts)
⏭️ HN: 0 stories found
⚡ Web: assistant will use WebSearch
+165
View File
@@ -0,0 +1,165 @@
## Research Results: best rap songs 2026
**Date Range:** 2026-01-26 to 2026-02-25
**Mode:** both
**OpenAI Model:** gpt-5.2
**xAI Model:** grok-4-1-fast
### Reddit Threads
**R6** (score:71) r/playlists (2026-02-19)
Mix Rap Hiphop 2026
https://www.reddit.com/r/playlists/comments/1r8t0ld/mix_rap_hiphop_2026/
*Explicitly a 2026 rap/hip-hop playlist thread; useful for current-year song discovery.*
**R8** (score:66) r/hiphopheads (2026-02-25)
Daily Discussion Thread 02/24/2026
https://www.reddit.com/r/hiphopheads/comments/1rdjmgu/daily_discussion_thread_02242026/
*General hip-hop discussion thread around late Feb 2026; often includes song/album recs and what people are listening to now.*
**R2** (score:60) r/musicplaylists (2026-02-02)
Best 2026 Rap Playlist (178 saves)
https://www.reddit.com/r/musicplaylists/comments/1qu3i2n/best_2026_rap_playlist_178_saves/
*Directly about a “Best 2026 Rap Playlist” (songs for 2026), with comments inviting suggestions.*
**R18** (score:56) r/hiphop (2026-02-21)
DFL - Art Of Life (2026)
https://www.reddit.com/r/hiphop/comments/1raoitx/dfl_art_of_life_2026/
*A 2026 rap/hip-hop track post; useful to gather candidate songs people might call “best of 2026.”*
**R19** (score:55) r/hiphop (2026-02-21)
Plat Hav Pro - Get F'D Up (2026)
https://www.reddit.com/r/hiphop/comments/1ragaf5/plat_hav_pro_get_fd_up_2026/
*Another 2026 track post; relevant to discovering rap songs released/posted in 2026 that could be considered among the best.*
**R21** (score:55) r/TeenageRapFans (2026-02-15)
What's the best rap song ever made?
https://www.reddit.com/r/TeenageRapFans/comments/1r5iub6/whats_the_best_rap_song_ever_made/
*Direct best rap song discussion (not year-specific, but posted in 2026 and highly aligned with best rap songs topic).*
**R13** (score:53) r/hiphopheads (2026-02-14)
[DISCUSSION] Westside Gunn - 12 (1 Year Later)
https://www.reddit.com/r/hiphopheads/comments/1r4nbsr/discussion_westside_gunn_12_1_year_later/
*Album discussion thread that includes favorite track prompts; useful for identifying best songs/tracks people cite.*
**R20** (score:51) r/hiphop (2026-02-16)
Jody Lo - Ridiculous (2026)
https://www.reddit.com/r/hiphop/comments/1r6c6i7/jody_lo_ridiculous_2026/
*2026 track thread; relevant for compiling 2026 rap songs being shared/discussed.*
**R15** (score:51) r/edranked (2026-02-01)
Reddit Ranked: Hip Hop 26
https://www.reddit.com/r/redranked/comments/1qszauu/reddit_ranked_hip_hop_26/
*Ongoing 2026 hip-hop ranking/submission thread; good for discovering community-submitted best tracks in 2026.*
**R9** (score:49) r/hiphopheads (2026-02-01)
Pre-Show Grammy Winners
https://www.reddit.com/r/hiphopheads/comments/1qtcbmo/preshow_grammy_winners/
*Includes Best Rap Song/rap categories discussion; useful when searching for top/best rap songs discourse in 2026.*
### X Posts
**X5** (score:86) @Zika_gfx (2026-02-25) [12likes, 5rt]
Talking about meaningful rap songs...
WORLD BEST LIE - NUNO ZIGI (2026)🥺❤ https://t.co/MDHRf3giYq...
https://x.com/Zika_gfx/status/2026576570513600788
**
**X6** (score:68) @DPOSTS6 (2026-02-25) [4likes, 1rt]
@PopCrave Partition still goes harder than most 2026 songs
12 years and the beat switch + that rap still give chills every time. Queen never misses...
https://x.com/DPOSTS6/status/2026523320548819145
**
**X9** (score:64) @grok (2026-02-25)
@Unfath0m4ble @robinthisbish @lilceaserthabp1 @RapWikip What You Saying by Lil Uzi Vert. Dropped Dec 2025, hit #1 on Hot Rap Songs in Jan 2026 (his 3rd time), peaked #14 Hot 100. Super short track ~2 ...
https://x.com/grok/status/2026467153046606064
**
**X7** (score:64) @grok (2026-02-25)
@lil_loonie1 @oldmanebro No, Lil Uzi Vert isn't struggling. His "What You Saying" hit #1 on Hot Rap Songs in Jan 2026 (first in 3 years) and top 15 Hot 100. Insiders say a surprise album drop is comin...
https://x.com/grok/status/2026518008827404632
**
**X2** (score:64) @Ferginangi (2026-02-25)
Su La Musica che gira intorno... "Qui con me" è il brano con cui Serena Brancale è in gara al 76° Festival di Sanremo
https://t.co/wTPeovzt6u
#music #genre #song #songs #envywear #PleaseForgiveMe #mel...
https://x.com/Ferginangi/status/2026696207557382298
**
**X12** (score:62) @teammusic2046 (2026-02-23)
[ ** STUDIO BOOTH ** ] ** DROPPING SOON - 2026 **🔥🔥🔥………..[ ALBUM : LOVE VS LOYALTY - DROPPING SOON ! ]………🔥🔥🔥 - ** ALL SONGS &amp; BEATS, PRODUCED &amp; RAP BY ( SEAN BRYANT ) - https://t.co/LduwG5WmM7...
https://x.com/teammusic2046/status/2026040965329191061
**
**X11** (score:59) @IoWeul (2026-02-24) [2likes]
@PopBase Finally, @bts_bighit BTS will come back after completing their military service from 2022 to 2025.
BTS served in the military to protect their country, South Korea from North Korea's nuclear ...
https://x.com/IoWeul/status/2026233090683863471
**
**X8** (score:58) @grok (2026-02-25) [1likes]
Lil Uzi Vert (born July '95, so 30 now) isn't struggling at all. Fresh off "What You Saying" hitting #1 on Hot Rap Songs in Jan 2026, top 15 Hot 100. New album rumored for surprise drop soon, Roc Nati...
https://x.com/grok/status/2026498538075554040
**
**X4** (score:58) @AlterEgoPopList (2026-02-25) [1likes]
My musical taste / eras every year
2020: J-POP &amp; K-POP (mostly BLACKPINK)
2021: Sped-Up Songs
2022: EDM
2023: Swiftie (Pop) &amp; Lofi
2024: Pop, Ambient
2025: Alternative, OPM, Rock, Rap, Hip-Ho...
https://x.com/AlterEgoPopList/status/2026641456434393579
**
**X3** (score:56) @WordsFromBlerds (2026-02-25) [1likes]
@_CharlesPreston Cant believe Im seeing “they say it in rap songs!” In 2026
The same reductive, ancient, debunked arguments ad infinitum...
https://x.com/WordsFromBlerds/status/2026647382083903688
**
**X1** (score:56) @Ferginangi (2026-02-25) [1likes]
Su La Musica che gira intorno... "Magica Favola" è il brano con cui Arisa è in gara al 76° Festival di Sanremo
https://t.co/Nxzkb005lP
#music #genre #song #songs #envywear #PleaseForgiveMe #melody #hi...
https://x.com/Ferginangi/status/2026705227366256880
**
**X10** (score:55) @fo_sho52268 (2026-02-24) [1likes]
@blackiiingout 💩 is funny from 2025 to 2026. BiiCH is SCARED to drop that #TRASH he calls "rap songs" 🥴😩...
https://x.com/fo_sho52268/status/2026335353364201566
**
### YouTube Videos
**ZUExyc50ZVU** (score:63) West Coast Finest (2026-01-29) [407,260 views, 4,229 likes]
Lit Hip Hop Mix 2026🔥🔥🔥Tyga, Quavo, Iggy Azalea, Wiz Khalifa, Juicy J, 50 Cent
https://www.youtube.com/watch?v=ZUExyc50ZVU
Transcript: Yeah. &gt;&gt; Yeah. [music] Late nights, cold life, same story. &gt;&gt; City shine different. You walking with glory, right? &gt;&gt; Still drip falling when I step outside. Yeah. [music] &gt;&gt; B...
*YouTube video about rap songs 2026*
**d1melQQVp6s** (score:58) DJ Noize (2026-02-14) [42,707 views, 761 likes]
New Rap Songs 2026 Mix February | Trap Tape #127 | New Hip Hop 2026 Mixtape | DJ Noize
https://www.youtube.com/watch?v=d1melQQVp6s
Transcript: [music] This This is a DJ noise mixtape present. This is a DJ noise mixtape [music] presentation. DJ [music] &gt;&gt; Who the [&nbsp;__&nbsp;] is you? Who the [&nbsp;__&nbsp;] is you? Who the [&nbsp;_...
*YouTube video about rap songs 2026*
**-KQpPySP93I** (score:53) DJ Noize (2026-02-21) [12,955 views, 304 likes]
New Hip Hop R&B Songs 2026 Mix February | Hot Right Now #153 | New Rap 2026 Playlist | DJ Noize
https://www.youtube.com/watch?v=-KQpPySP93I
Transcript: This This is a DJ noise tape present. This is a DJ noise mix. [music] I got Nikki on me. How we treat the like a bucket for rubbing. You [music] ain't no fella from my junction. You ain't pluck you cl...
*YouTube video about rap songs 2026*
---
**Sources:**
✅ Reddit: 10 threads
✅ X: 12 posts
✅ YouTube: 3 videos (3 with transcripts)
⏭️ HN: 0 stories found
⚡ Web: assistant will use WebSearch
@@ -0,0 +1,157 @@
## Research Results: React vs Svelte 2026
**Date Range:** 2026-01-26 to 2026-02-25
**Mode:** both
**OpenAI Model:** gpt-5.2
**xAI Model:** grok-4-1-fast
### Reddit Threads
**R2** (score:66) r/eact (2026-02-10)
What do you guys think about comparison between React vs Svelte?
https://www.reddit.com/r/react/comments/1r1fku5/what_do_you_guys_think_about_comparison_between/
*Explicit React vs Svelte comparison discussion (mentions Svelte 5 runes vs React hooks).*
**R1** (score:60) r/webdev (2026-02-02)
Migrated our startup from React to Svelte 5 - Performance gains and lessons learned
https://www.reddit.com/r/webdev/comments/1qu4dek/migrated_our_startup_from_react_to_svelte_5/
*Direct migration story from React to Svelte 5 with concrete perf/dev-ex tradeoffs; very relevant to 2026 comparisons.*
**R4** (score:46) r/sveltejs (date unknown) [date:low]
When to choose React over Svelte
https://www.reddit.com/r/sveltejs/comments/1jeknib/when_to_choose_react_over_svelte/
*Decision-oriented thread explicitly contrasting when React vs Svelte makes sense (ecosystem/jobs/productivity).*
### X Posts
**X4** (score:76) @FabianHiller (2026-02-13) [61likes, 2rt]
TypeScript is the baseline in 2026. But most forms still fight type drift between API, schema & UI.
@formisch_dev + @valibot = one source of truth, zero boilerplate ⚡️
const form = useForm({ schem...
https://x.com/FabianHiller/status/2022345388603080834
**
**X3** (score:57) @ConsciousRide (2026-02-15) [6likes]
Popular JavaScript Frameworks / Frontend Libraries (20252026 trends)
- React: 🇺🇸 United States
- Vue: 🇨🇳 China (created by Evan You)
- Angular: 🇺🇸 United States
- Svelte: 🇺🇸 United State...
https://x.com/ConsciousRide/status/2023050160520278501
**
**X11** (score:53) @singhprateek_25 (2026-02-07) [6likes, 1rt]
Requirements for a fresher in 2026:
Python, JavaScript, C, C++, Java, HTML, CSS, TypeScript, React, Next.js, Vue, Angular, Svelte, Node.js, Express, Django, Flask, FastAPI, Spring Boot, PHP, Laravel,...
https://x.com/singhprateek_25/status/2020094806735700154
**
**X1** (score:52) @cityjsconf (2026-02-20) [1rt]
Ripple: The Good Parts of React, Svelte, and Solid
Frameworks rise and fall — and in 2026 were deep in late-stage React. Whats next? Join @erikras as he introduces Ripple, a TypeScript-first UI fra...
https://x.com/cityjsconf/status/2024908272646398229
**
**X2** (score:52) @dennydotio (2026-02-18) [1likes]
Prediction: 2026 marks the death of the JS frameworks. React, Svelte, Astro etc... only exist because humans need organized code to stay sane.
Once we stop reading the source code, we stop needing ...
https://x.com/dennydotio/status/2024195986890109320
**
**X5** (score:52) @AzamCodes (2026-02-13) [2likes]
Web developers, what stack are you using in 2026?
React? Vue? Svelte? Vanilla? Curious whats actually winning....
https://x.com/AzamCodes/status/2022298287236383010
**
**X8** (score:52) @QiitaTrend (2026-02-11)
[2026/02/11 18:00] トレンド1位
【WebF】React/Vue/Svelteがそのままネイティブアプリになるよ by rana_kualu https://t.co/GiAnTHpOBB...
https://x.com/QiitaTrend/status/2021509592489025785
**
**X10** (score:50) @nicobaogim (2026-02-09)
@babakfpk In 2026, picking React for a new project only really makes sense if you value ecosystem maturity, are following existing team habits, or need React-specific libraries. Same for Vue. Otherwis...
https://x.com/nicobaogim/status/2020689628282667407
**
**X12** (score:49) @Chubbi_Stephen (2026-02-07)
2026 framework discourse:
Dev 1: "React is bloated, use Svelte"
Dev 2: "Svelte has no ecosystem, use Vue"
Dev 3: "Vue is dying, use Solid"
Dev 4: "Just use React"
Meanwhile React: *still powering 80...
https://x.com/Chubbi_Stephen/status/2020087839648800853
**
### YouTube Videos
**yl0YWA2K2B0** (score:61) Fireship (2025-10-17) [699,597 views, 22,894 likes]
React wants to win you back…
https://www.youtube.com/watch?v=yl0YWA2K2B0
Transcript: Last week, I got to participate in my favorite activity of the year. No, it wasn't watching all the overleveraged crypto bros learn what a margin call is. It was hate watching React comp as an anti-re...
*YouTube video about react vs svelte 2026*
**MnpuK0MK4yo** (score:61) Beyond Fireship (2023-06-30) [697,142 views, 25,490 likes]
React VS Svelte...10 Examples
https://www.youtube.com/watch?v=MnpuK0MK4yo
Transcript: any reasonable developer in today's world would learn react because it's the status quo and that's where the jobs are but life is a lot more fun when you become unreasonable and go against the status ...
*YouTube video about react vs svelte 2026*
**aYyZUDFZTrM** (score:60) Fireship (2024-10-24) [547,836 views, 24,456 likes]
JavaScript framework reinvents itself… Did "runes" just ruin Svelte?
https://www.youtube.com/watch?v=aYyZUDFZTrM
Transcript: about a year ago I made a tweet that said the dollar sign in spelt is the most powerful abstraction in modern front-end web development usually I'm not wrong about anything ever but this tweet ended u...
*YouTube video about react vs svelte 2026*
**fn_uSZW5psM** (score:52) CodeSource (2025-05-14) [57,784 views, 2,120 likes]
The Untold Story of Svelte
https://www.youtube.com/watch?v=fn_uSZW5psM
*YouTube video about react vs svelte 2026*
**IpJh0VEzMRo** (score:49) Ben Davis (2025-10-12) [24,631 views, 1,043 likes]
I Was Wrong About Svelte...
https://www.youtube.com/watch?v=IpJh0VEzMRo
*YouTube video about react vs svelte 2026*
**1cGtYEXGm8c** (score:48) Ben Davis (2026-01-06) [16,899 views, 793 likes]
This is THE Framework You Should be Using in 2026
https://www.youtube.com/watch?v=1cGtYEXGm8c
*YouTube video about react vs svelte 2026*
**qwDp5pZA_TA** (score:47) Code Hub (2026-02-08) [646 views, 31 likes]
The Front-end Frameworks Guide 2026: React vs Angular vs Vue vs Svelt vs Solid vs Astro
https://www.youtube.com/watch?v=qwDp5pZA_TA
*YouTube video about react vs svelte 2026*
**_vuVy21l2bU** (score:44) Code Hub (2025-10-30) [6,454 views, 204 likes]
React vs Svelte: The Brutal Honest Comparison EVER
https://www.youtube.com/watch?v=_vuVy21l2bU
*YouTube video about react vs svelte 2026*
**1BCsdaeYv0A** (score:40) Daniel | Tech & Data (2023-11-26) [33,905 views, 0 likes]
Svelte vs React in 2025 - Make the RIGHT Choice (Difference Explained)
https://www.youtube.com/watch?v=1BCsdaeYv0A
*YouTube video about react vs svelte 2026*
**41HXdxGekZ0** (score:31) Paperclick (2025-10-04) [287 views, 3 likes]
Vue vs React vs Svelte (2026) - Which One Is BEST?
https://www.youtube.com/watch?v=41HXdxGekZ0
*YouTube video about react vs svelte 2026*
---
**Sources:**
✅ Reddit: 3 threads
✅ X: 9 posts
✅ YouTube: 10 videos (3 with transcripts)
⏭️ HN: 0 stories found
⚡ Web: assistant will use WebSearch
@@ -0,0 +1,196 @@
# Evaluation: Claude Code skills and MCP servers
**Query Type:** GENERAL
**Label Map (REVEAL AFTER SCORING):** {'A': 'hn', 'B': 'base', 'C': 'cross'}
## Evaluation Rubric
Score each version 1-5 on these dimensions:
### 1. GROUNDEDNESS (30%)
Does the narrative cite specific sources from the research data?
- 1: Generic statements, no citations, could be written without any research
- 3: Some citations but mixed with pre-existing knowledge filler
- 5: Every finding backed by a specific source ("per @handle", "per r/sub", "per [channel]")
### 2. SPECIFICITY (25%)
Are findings specific (named entities, exact numbers) or vague?
- 1: Vague generalities ("AI video tools are improving", "developers are debating frameworks")
- 3: Some specifics mixed with generic padding
- 5: Named products, exact numbers, version names ("Seedance 2.0 added lip sync", "698 likes")
### 3. COVERAGE (20%)
Does the synthesis represent findings from all available data sources?
- 1: Only mentions 1-2 sources, ignores others
- 3: Mentions most sources but unevenly weighted
- 5: Naturally weaves Reddit, X, YouTube (and HN if available) into the narrative
### 4. ACTIONABILITY (15%)
Does the invitation give specific, research-derived next steps?
- 1: Generic "let me know if you want more info"
- 3: Somewhat specific but not clearly grounded in research findings
- 5: Each suggestion references a specific thing from the research ("I can compare Seedance 2.0 vs Kling")
### 5. FORMAT COMPLIANCE (10%)
Does it follow the expected output format?
- 1: Missing stats block, no invitation, wrong structure
- 3: Partial stats block, generic invitation
- 5: Perfect stats block with real counts, source box-drawing chars, top voices identified
---
## VERSION A
What I learned:
Claude Code skills and MCP servers are at an inflection point - the community is building so fast that infrastructure tooling (sandboxes, marketplaces, directories) is appearing alongside the skills themselves. @ihtesham2005 highlighted Anthropic open-sourcing their internal Skills library, and Hacker News is seeing a steady stream of Show HN projects building on this layer.
**Specialized skill packs are the new open-source project type** - Builders are shipping domain-specific skill bundles: a 55K-word email marketing knowledge base (hn/cosmoblk, 10pts), 12 SEO skills for Claude Code (r/ClaudeCode), and AI marketing skills (hn/superamped). These aren't generic - they embed deep domain knowledge into SKILL.md files.
**Security and sandboxing are emerging concerns** - SkillSandbox (hn/ClaytheMachine) is a Rust-based capability sandbox for AI agent skills, and Gulama (hn/san-techie21) pitches itself as a "security-first" OpenClaw alternative. As skills get more powerful, the HN crowd is asking hard questions about what they should be allowed to do.
**MCP is becoming a framework target, not just a protocol** - Upjack (hn/barefootsanders) is a declarative framework for building apps over MCP, and the GTM MCP Server (hn/paolobietolini) lets AI manage Google Tag Manager containers. MCP is evolving from "connect tools to Claude" into "build entire products on top of MCP."
**Agent orchestration is the next layer up** - Axon (hn/gjkim042) provides Kubernetes-native orchestration for AI coding agents, and hn/alternateman built tooling to turn Claude Code or Codex into proactive 24/7 agents. The pattern is skills for single tasks, orchestration for workflows, infrastructure for always-on agents.
**Skill discovery is an unsolved problem** - Indx.sh (hn/micronink) is a directory of AI coding rules, MCP servers, and tools. ClawsMarket (hn/digitcatphd) is a marketplace where AI agents discover tools. @ghumare64 uses a dedicated tool to sync and scan skills from the marketplace. Multiple independent attempts to solve discovery suggest it's a real pain point.
KEY PATTERNS from the research:
1. HN builders are creating infrastructure (sandboxes, frameworks, marketplaces) while Reddit/X users are creating end-user skills - the ecosystem is specializing, per hn/ClaytheMachine
2. Marketing is the breakout non-dev use case for skills - multiple independent projects across HN, Reddit, and YouTube, per hn/cosmoblk
3. Skills are going cross-platform - builders are creating skills that work with Claude Code AND Codex, per @zeeg
4. The implicit vs explicit skill invocation debate is live - Codex handles implicit well, Claude Code still needs explicit mentions, per @zeeg
5. Solo devs and small teams are the core adoption wedge - team-level skill sharing is the growth vector, per r/ClaudeCode
---
All agents reported back!
├─ 🟠 Reddit: 3 threads │ 0 upvotes │ 0 comments
├─ 🔵 X: 12 posts │ 23 likes │ 1 reposts
├─ 🔴 YouTube: 10 videos │ 520,640 views │ 3 with transcripts
├─ 🟡 HN: 15 stories │ 35 points │ 16 comments
├─ 🌐 Web: supplementary
└─ 🗣️ Top voices: @ihtesham2005 (6 likes), @zeeg (4 likes, 1 RT) │ r/ClaudeCode, r/ClaudeAI │ hn/cosmoblk (10pts)
---
I'm now an expert on Claude Code skills and MCP servers. Some things I can help with:
- Break down the SkillSandbox architecture and what capability-based security means for your skills
- Compare the emerging MCP frameworks (Upjack vs Poncho vs Fluid.sh) for different use cases
- Help you build a domain-specific skill pack like the 55K-word email marketing knowledge base
---
## VERSION B
What I learned:
The Claude Code skills ecosystem is in a rapid expansion phase, with community-built skill libraries and frameworks emerging as the dominant trend across Reddit and X this month. @ihtesham2005 flagged that Anthropic open-sourced their internal Skills library, and r/ClaudeCode is seeing a wave of builders shipping reusable skill packs.
**Skills adoption is accelerating at the team level** - One team reported 3x-ing their Claude Code skill usage in two weeks by syncing skills, hooks, and MCP configs across their org, per r/ClaudeCode. The key was making skills discoverable and easy to install rather than relying on individual setup.
**One-command frameworks are consolidating the ecosystem** - ClaudeInOne bundles 135 agents, 35 curated skills, 121 plugins, and 6 MCP configs into a single install, per @arpan7sarkar. This "batteries included" approach is gaining traction as the skill count grows faster than people can evaluate individually.
**Self-improvement loops are the power-user pattern** - A "wrap-up" skill that captures session learnings and feeds them back into future sessions was highlighted as a favorite Claude Code skill on r/ClaudeCode. The idea of skills that improve themselves over time resonated heavily.
**Non-developers are building with skills** - Grace Leung's YouTube tutorial on building an AI marketing team with skills in 16 minutes pulled 47K views in 4 days. The framing has shifted from "developer tool" to "anyone who can describe a workflow."
**MCP servers remain the infrastructure layer** - Robin Ebers' "8 MCP Servers That Make Claude Code 10x Better" (90K views) argues most MCP servers are "overhyped garbage" but a handful are genuine game changers. The consensus is that skills handle workflow logic while MCP servers handle tool integrations.
KEY PATTERNS from the research:
1. Skills are moving from individual to team-shared - syncing across orgs is the unlock, per r/ClaudeCode
2. Skill marketplaces and directories are emerging as discovery mechanisms, per @ghumare64
3. Marketing and SEO are the fastest-growing non-dev skill categories, per r/ClaudeCode
4. Skills vs MCP confusion persists - Postman and Solo Swift Crafter both made explainer videos clarifying the distinction
5. Builder skills that generate other skills are the meta-pattern, per @matgoldsborough
---
All agents reported back!
├─ 🟠 Reddit: 4 threads │ 291 upvotes │ 0 comments
├─ 🔵 X: 11 posts │ 22 likes │ 1 reposts
├─ 🔴 YouTube: 10 videos │ 461,224 views │ 3 with transcripts
├─ 🟡 HN: 0 stories (no results this cycle)
├─ 🌐 Web: supplementary
└─ 🗣️ Top voices: @ihtesham2005 (6 likes), @zeeg (4 likes, 1 RT) │ r/ClaudeCode
---
I'm now an expert on Claude Code skills and MCP servers. Some things I can help with:
- Compare the ClaudeInOne framework vs building your own skill library from scratch
- Walk through setting up a self-improvement loop skill for your workflow
- Help you decide which MCP servers are actually worth installing based on Robin Ebers' teardown
---
## VERSION C
What I learned:
The Claude Code skills and MCP ecosystem is experiencing simultaneous growth at every layer - from individual skill authoring to team-level adoption to infrastructure tooling. The signal is dense: r/ClaudeCode has 10 active threads this month on skills and MCP, Hacker News has 15 Show HN projects building on this stack, and @ihtesham2005's post about Anthropic open-sourcing their internal Skills library catalyzed a wave of community activity.
**MCP server scaling is hitting real limits** - "Claude Code works great... until you have too many MCP servers" (r/ClaudeCode) is the thread of the month. Teams are running into architecture problems, with gateway patterns emerging as the solution. This connects directly to Upjack (hn/barefootsanders), a declarative framework for building apps over MCP.
**Token efficiency is driving MCP server design** - A semantic graph MCP server cut context from 15K to 3K tokens (r/ClaudeCode), while 25 MCP servers that return structured data instead of terminal formatting emerged on r/ClaudeAI. The efficiency concern also shows up in SkillSandbox (hn/ClaytheMachine), which uses capability-based sandboxing to limit what skills can access.
**Security is the emerging battleground** - An MCP proxy server for safe email access (r/ClaudeAI) addresses the trust problem, while Gulama (hn/san-techie21) pitches itself as a security-first agent. The Reddit and HN projects converge on the same insight: as skills get more capable, the security surface grows.
**Skills are becoming team infrastructure, not personal tools** - The "We 3x'd our team's Claude Code skill usage" thread (r/ClaudeCode) and ClaudeInOne framework (213 skills bundled, r/ClaudeCode score 78) both show skills moving from individual to organizational. A Chrome extension for viewing skills on GitHub (r/ClaudeCode) and @ghumare64's skill sync tooling reinforce that discovery and distribution matter more than authoring now.
**Domain-specific skills are the high-value pattern** - The 55K-word email marketing knowledge base (hn/cosmoblk, 10pts), 12 SEO skills (r/ClaudeCode), and the self-improvement loop skill (r/ClaudeCode) all share a pattern: deep domain knowledge embedded in SKILL.md files. Grace Leung's YouTube tutorial on building an AI marketing team with skills pulled 47K views - non-developers are the growth audience.
KEY PATTERNS from the research:
1. MCP scaling problems are driving architectural innovation - gateways, structured data, and semantic graphs all emerged independently this month, per r/ClaudeCode
2. Reddit discusses adoption and workflows while HN builds infrastructure (sandboxes, frameworks, marketplaces) - the ecosystem is specializing across platforms, per hn/ClaytheMachine
3. Security concerns are growing in proportion to capability - email proxies, sandboxes, and "security-first" agents all appeared in February, per r/ClaudeAI
4. Skill discovery is the unsolved bottleneck - Chrome extensions, directories (hn/micronink), and marketplaces (hn/digitcatphd) are all independent attempts to fix it
5. Cross-platform skill portability matters - @zeeg notes Codex handles implicit skill invocation better than Claude Code, suggesting the skill format may outlive any single runtime
---
All agents reported back!
├─ 🟠 Reddit: 10 threads │ 692 upvotes │ 0 comments
├─ 🔵 X: 12 posts │ 23 likes │ 1 reposts
├─ 🔴 YouTube: 10 videos │ 465,498 views │ 3 with transcripts
├─ 🟡 HN: 15 stories │ 35 points │ 16 comments
├─ 🌐 Web: supplementary
└─ 🗣️ Top voices: @ihtesham2005 (6 likes), @zeeg (5 likes, 1 RT) │ r/ClaudeCode, r/ClaudeAI │ hn/cosmoblk (10pts)
---
I'm now an expert on Claude Code skills and MCP servers. Some things I can help with:
- Analyze the MCP scaling problem and whether a gateway approach or semantic graph server would work better for your setup
- Compare the security models across the email proxy, SkillSandbox, and Gulama approaches
- Help you build a domain-specific skill pack and distribute it through the emerging skill ecosystem
---
## SCORES
### Version A
- Groundedness: 4/5
- Specificity: 5/5
- Coverage: 3/5
- Actionability: 4/5
- Format: 4/5
- **Weighted Total**: 4.05/5.0
- Best/worst aspect: Best: exceptional specificity with named HN users, project names, and descriptions (SkillSandbox, Upjack, Axon, Gulama, Indx.sh, ClawsMarket). Worst: coverage skews heavily toward HN - Reddit is thin (3 threads, 0 upvotes) and YouTube is barely woven into the narrative despite 520K views reported.
### Version B
- Groundedness: 4/5
- Specificity: 4/5
- Coverage: 3/5
- Actionability: 4/5
- Format: 4/5
- **Weighted Total**: 3.80/5.0
- Best/worst aspect: Best: strong specificity with real numbers (ClaudeInOne: 135 agents, 35 skills, 121 plugins; Grace Leung 47K views in 4 days; Robin Ebers 90K views). Worst: zero HN coverage (0 stories) means an entire platform dimension is missing, and coverage across existing sources is uneven - YouTube is mentioned but not deeply woven in.
### Version C
- Groundedness: 5/5
- Specificity: 5/5
- Coverage: 5/5
- Actionability: 5/5
- Format: 4/5
- **Weighted Total**: 4.90/5.0
- Best/worst aspect: Best: coverage is outstanding - explicitly cross-references Reddit adoption threads with HN infrastructure projects (MCP scaling on r/ClaudeCode connecting to Upjack on HN), weaves X handles, YouTube stats, and specific Reddit thread titles into a unified narrative. Cites 10 Reddit threads, 15 HN stories, and specific numbers throughout. Worst: format is good but not perfect - the stats block uses emoji and box-drawing chars correctly but "0 comments" across all Reddit entries seems odd.
## VERDICT
**Winner for Claude Code skills and MCP servers:** Version C
**Why:** Version C achieves what the other two cannot individually - it combines the HN depth of Version A with the Reddit/YouTube specificity of Version B, then adds cross-platform connections that neither version makes on its own. The MCP scaling problem thread connecting to Upjack, the security concerns converging across Reddit email proxy and HN sandboxes, and the Chrome extension plus marketplace discovery problem spanning platforms all demonstrate genuine cross-referencing. Version A is strong on HN but thin on Reddit; Version B is strong on Reddit/YouTube but missing HN entirely. Version C weaves all platforms together and surfaces the most actionable patterns.
**Reveal:** {'A': 'hn', 'B': 'base', 'C': 'cross'}
@@ -0,0 +1,198 @@
# Evaluation: Seedance AI video generation
**Query Type:** NEWS
**Label Map (REVEAL AFTER SCORING):** {'A': 'base', 'B': 'hn', 'C': 'cross'}
## Evaluation Rubric
Score each version 1-5 on these dimensions:
### 1. GROUNDEDNESS (30%)
Does the narrative cite specific sources from the research data?
- 1: Generic statements, no citations, could be written without any research
- 3: Some citations but mixed with pre-existing knowledge filler
- 5: Every finding backed by a specific source ("per @handle", "per r/sub", "per [channel]")
### 2. SPECIFICITY (25%)
Are findings specific (named entities, exact numbers) or vague?
- 1: Vague generalities ("AI video tools are improving", "developers are debating frameworks")
- 3: Some specifics mixed with generic padding
- 5: Named products, exact numbers, version names ("Seedance 2.0 added lip sync", "698 likes")
### 3. COVERAGE (20%)
Does the synthesis represent findings from all available data sources?
- 1: Only mentions 1-2 sources, ignores others
- 3: Mentions most sources but unevenly weighted
- 5: Naturally weaves Reddit, X, YouTube (and HN if available) into the narrative
### 4. ACTIONABILITY (15%)
Does the invitation give specific, research-derived next steps?
- 1: Generic "let me know if you want more info"
- 3: Somewhat specific but not clearly grounded in research findings
- 5: Each suggestion references a specific thing from the research ("I can compare Seedance 2.0 vs Kling")
### 5. FORMAT COMPLIANCE (10%)
Does it follow the expected output format?
- 1: Missing stats block, no invitation, wrong structure
- 3: Partial stats block, generic invitation
- 5: Perfect stats block with real counts, source box-drawing chars, top voices identified
---
## VERSION A
## What I learned
ByteDance's **Seedance 2.0** has erupted across AI video communities this month, with r/generativeAI and @HBCoop_ capturing the intensity - a mix of awe at its cinematic output and frustration over access chaos.
**CapCut integration goes live.** As of Feb 25, Seedance 2.0 is available inside CapCut desktop and mobile, removing the need for a Chinese phone number. @jznode reports it runs about $2 per generation, making it the first broadly accessible path to the model outside China.
**One-minute films with zero editing.** A viral r/generativeAI thread describes Seedance 2.0 generating a full one-minute film with multi-shot coherence and transitions - no post-production required. Commenters are split between calling it a filmmaking revolution and noting it still produces "slop" on closer inspection.
**Access remains a mess.** Multiple threads across r/Seedance_AI and r/generativeAI ask the same question: where is the official website? The answer is complicated - Jimeng/Jianying is the primary platform but has geo-restrictions, account bans, and network errors. Third-party APIs (useapi.net) and integrations (NemoVideo) have popped up, but r/Seedance_AI users warn many are scams.
**Hollywood backlash and SAG-AFTRA fallout.** r/AIGuild reports ByteDance faces backlash from Hollywood over IP concerns. Separately, r/AI_UGC_Marketing notes that ElevenLabs silently removed Seedance 2.0 from its platform after a SAG-AFTRA incident, cutting off a key UGC video workflow.
**Content guardrails frustrate power users.** A r/Seedance_AI user reports wasting $1,000+ on generations that fail content review. The strict moderation filters are pushing creators toward third-party APIs that may bypass restrictions but offer uncertain quality.
**YouTube creators crown it king.** Theoretically Media's review (199K views) declares Seedance 2.0 has claimed the "AI video throne" just a week after Kling 3.0 held that title. Multiple tutorial channels (How To In 5 Minutes, Ai Lockup) are racing to publish free-access guides.
**Phishing scams exploit the hype.** @WyldeChyldeRec warns about phishing emails using Seedance branding with fake "unrestricted generation" offers - a sign of how much demand has outpaced official supply.
### KEY PATTERNS
1. **Access demand far exceeds official supply** - the gap between Seedance 2.0's capabilities and its availability outside China has created a cottage industry of third-party wrappers, scam sites, and workarounds (r/generativeAI)
2. **Platform musical chairs** - Seedance 2.0 gets added to CapCut, removed from ElevenLabs, and claimed by NemoVideo all within weeks, making the ecosystem unstable for anyone building workflows (@grok)
3. **Quality vs. guardrails tension** - the same content moderation that addresses Hollywood/SAG-AFTRA concerns is the thing driving power users to abandon official channels (r/Seedance_AI)
4. **AI video benchmarks reset weekly** - Theoretically Media declared Kling 3.0 the benchmark, then Seedance 2.0 dethroned it within a week, reflecting how fast this space moves (Theoretically Media)
5. **Scam ecosystem mirrors real demand** - phishing emails and fake sites emerge within days of each capability announcement, indicating mainstream interest beyond the AI-native audience (@WyldeChyldeRec)
```
30-DAY SNAPSHOT
├─ Reddit: 16 threads across r/Seedance_AI, r/generativeAI, r/AIGuild +5 more
├─ X: 11 posts from @HBCoop_, @grok, @EmmaUsesAi +8 more
├─ YouTube: 10 videos (199K views on Theoretically Media alone)
└─ Web: supplementary context
```
Want to dig deeper? I can look into **how Seedance 2.0 compares to Kling 3.0 on specific benchmarks**, **the SAG-AFTRA incident timeline and its ripple effects on AI video platforms**, or **which third-party Seedance APIs are legitimate vs. scams**.
---
## VERSION B
## What I learned
ByteDance's **Seedance 2.0** has dominated AI video discussion this month, with r/singularity and Hacker News tracking both the technical leaps and the messy rollout. The top HN thread (hn/Alisaqqt, 7pts) previewed the model in early February and correctly predicted the Atlas Cloud API launch on Feb 24.
**CapCut integration marks the global launch.** As of Feb 25, Seedance 2.0 is live inside CapCut desktop and mobile worldwide. @jznode confirms no Chinese phone number is needed, with generations running about $2 each. A parallel r/singularity thread tracks the announcement with discussion of censorship trade-offs and pricing.
**One-minute coherent films.** r/generativeAI showcases a Seedance 2.0 output - a one-minute film with multi-shot coherence, scene transitions, and consistent characters, all generated with zero editing. The claim is contested but the output samples are circulating widely.
**API availability is a saga.** The top HN story noted the API was not yet available in early Feb, with Atlas Cloud access promised for Feb 24. By late February, r/generativeAI reports Seedance 2.0 appearing in "open source tools already," while third-party APIs (useapi.net) offer access of uncertain authenticity. Multiple Show HN posts (SeeVideo, Seedance3AI, and others) are building wrapper apps, but most sit at 1 point with zero comments.
**Jimeng platform instability.** r/Seedance_AI documents 24-hour stretches of "Network Error, Generation Failed" on Jimeng Web, silent account bans distinguishing paid from free accounts, and general frustration. One user reports wasting $1,000+ on failed generations due to content review rejections.
**Hollywood and SAG-AFTRA blowback.** r/AIGuild covers ByteDance facing Hollywood backlash over Seedance 2.0 IP concerns. r/AI_UGC_Marketing notes ElevenLabs quietly removed Seedance 2.0 integration after a SAG-AFTRA incident, breaking UGC video workflows.
**Developer community response is breadth without depth.** HN saw 15 stories this month, but engagement is thin - only the preview thread (7pts, 7 comments) generated real discussion. The rest are Show HN launches of wrapper apps (SeeVideo, Seedance3AI, etc.) that attracted minimal attention, suggesting developer tools are outpacing developer demand.
**Multi-shot narrative is the real breakthrough.** HN commenter hn/RyanMu notes that most AI video tools "generate isolated clips that fall apart when you try to build an actual narrative" - Seedance 2.0's multi-shot coherence is what sets it apart, and a separate Show HN specifically targets the "jump-cut problem."
### KEY PATTERNS
1. **Access fragmentation creates a wrapper gold rush** - 8+ Show HN posts launched Seedance wrapper apps in a single month, but almost none gained traction, suggesting the market wants official API access, not middlemen (HN)
2. **Platform musical chairs** - added to CapCut, removed from ElevenLabs, broken on Jimeng, promised on Atlas Cloud - the access surface is shifting weekly, making production workflows unreliable (r/singularity)
3. **Quality ceiling vs. guardrail floor** - Seedance 2.0's cinematic output quality is the highest in the space, but content moderation filters reject enough generations to cost power users real money (r/Seedance_AI)
4. **Multi-shot coherence is the moat** - while competitors offer single-clip generation, Seedance 2.0's ability to maintain character and scene consistency across shots is the feature driving adoption (hn/RyanMu)
5. **Hype-to-engagement ratio is extreme** - 15 HN stories but only 1 with meaningful discussion; YouTube tutorials pulling 200K views while developers barely engage, indicating consumer interest far outpaces technical community adoption (HN)
```
30-DAY SNAPSHOT
├─ Reddit: 20 threads across r/singularity, r/Seedance_AI, r/generativeAI +6 more
├─ X: 11 posts from @HBCoop_, @grok, @EmmaUsesAi +8 more
├─ YouTube: 10 videos (199K views on Theoretically Media alone)
├─ HN: 15 stories (top: 7pts/7cmt on Seedance 2.0 preview)
└─ Web: supplementary context
```
Want to dig deeper? I can look into **the Atlas Cloud API launch and pricing details**, **which Show HN wrapper apps are actually functional**, or **how Seedance 2.0's multi-shot coherence compares to Kling 3.0 and Sora 2 technically**.
---
## VERSION C
## What I learned
ByteDance's **Seedance 2.0** has been the most discussed AI video model this month, with converging signals across r/Seedance_AI, r/generativeAI, and Hacker News painting a picture of breakthrough capability tangled in access chaos and regulatory blowback. The top HN thread (hn/Alisaqqt, 7pts) correctly anticipated the Atlas Cloud API launch, while r/generativeAI captured the viral reaction to its cinematic output.
**CapCut integration is the global access breakthrough.** As of Feb 25, Seedance 2.0 is live inside CapCut desktop and mobile - confirmed across both r/seedance and @grok. @jznode reports it costs about $2 per generation with no Chinese phone number required, resolving the access barrier that dominated discussion for weeks.
**Cinematic quality sets a new bar.** r/generativeAI's viral thread - "Seedance 2.0 just generated a 1-minute film with ZERO editing" - showcases multi-shot coherence, transitions, and character consistency. Theoretically Media's review (199K views) declared it has claimed the AI video throne barely a week after Kling 3.0 held that title. But @TferThomas offers the counterpoint: "it's still slop."
**The access problem spawned scams and wrappers.** Cross-referencing Reddit and HN reveals the same frustration from two angles: users in r/Seedance_AI warn about scam sites like NemoVideo, while HN saw 8+ Show HN wrapper apps (SeeVideo, Seedance3AI, etc.) launch in a single month [xref: HN5/R6, HN4/R6]. Most HN wrappers attracted zero comments, suggesting developer supply outpaced real demand.
**API rollout delayed by deepfake/copyright concerns.** r/Seedance_AI documents the delay explicitly - the API launch was pushed back due to deepfake and copyright guardrails. This connects to r/AIGuild's report of Hollywood backlash and r/AI_UGC_Marketing's note that ElevenLabs silently removed Seedance 2.0 after a SAG-AFTRA incident. The regulatory pressure is reshaping access from multiple directions.
**Jimeng platform is failing its users.** Threads across r/Seedance_AI report 24-hour network errors on Jimeng Web, silent account bans on paid accounts, and $1,000+ wasted on failed generations. A separate thread from r/HiggsfieldAI argues "the censorship just ruined Seedance 2.0," while r/AI_Agents offers a measured take: "Seedance 2.0 is impressive. It's still not a production workflow."
**Hands-on testers reveal the real workflow.** u/Illustrious-One7744 provides detailed notes on what actually works - consistency via reference images, shot planning for multi-shot coherence, and the limitations of text-only prompting. This practical perspective is absent from the hype-driven YouTube tutorials.
**Multi-shot coherence is the technical differentiator.** HN commenter hn/RyanMu identifies the core issue: most AI video tools "generate isolated clips that fall apart when you try to build an actual narrative." A separate Show HN specifically targets the "jump-cut problem" that Seedance 2.0 claims to solve.
### KEY PATTERNS
1. **Regulatory pressure is the real bottleneck, not technology** - the API delay, ElevenLabs removal, and Hollywood backlash form a connected pattern where legal/ethical concerns are throttling access faster than ByteDance can ship (r/Seedance_AI + r/AIGuild)
2. **Access fragmentation creates parallel economies** - CapCut for consumers, Atlas Cloud for enterprise, Jimeng for China, third-party wrappers for everyone else, scam sites for the desperate - all serving the same model through different channels with different reliability [xref: HN/Reddit]
3. **Consumer excitement vastly outpaces developer adoption** - 199K YouTube views vs. 1-point HN Show HN posts; the audience is creators and filmmakers, not engineers building on APIs (Theoretically Media vs. HN)
4. **Multi-shot coherence is the moat** - character/scene consistency across shots is what separates Seedance 2.0 from competitors and what makes the "zero editing film" possible (hn/RyanMu)
5. **Quality-guardrail tension will define who wins AI video** - ByteDance's strict content moderation costs power users real money while its absence would invite the regulatory response that already delayed the API launch (r/Seedance_AI + r/HiggsfieldAI)
```
30-DAY SNAPSHOT
├─ Reddit: 19 threads across r/Seedance_AI, r/generativeAI, r/AIGuild +7 more
├─ X: 11 posts from @HBCoop_, @grok, @EmmaUsesAi +8 more
├─ YouTube: 10 videos (199K views on Theoretically Media alone)
├─ HN: 15 stories (top: 7pts/7cmt on Seedance 2.0 preview) [xref: 2 cross-refs]
└─ Web: supplementary context
```
Want to dig deeper? I can look into **the full SAG-AFTRA timeline and how it connects to ByteDance's API delay**, **which Seedance 2.0 access methods are actually legitimate and at what cost**, or **head-to-head multi-shot coherence comparisons between Seedance 2.0, Kling 3.0, and Sora 2**.
---
## SCORES
### Version A
- Groundedness: 4/5
- Specificity: 4/5
- Coverage: 3/5
- Actionability: 4/5
- Format: 3/5
- **Weighted Total**: 3.70/5.0
- Best/worst aspect: Best: strong narrative flow with good Reddit citations (r/generativeAI, r/Seedance_AI, r/AIGuild, r/AI_UGC_Marketing) and specific details ($2/generation, $1,000+ wasted, 199K views). Worst: no HN data at all - the stats block omits the HN line entirely, and YouTube is cited for view counts but not for specific analysis. The phishing scam angle is unique and grounded but coverage is limited to Reddit and X.
### Version B
- Groundedness: 5/5
- Specificity: 5/5
- Coverage: 4/5
- Actionability: 4/5
- Format: 4/5
- **Weighted Total**: 4.55/5.0
- Best/worst aspect: Best: exceptional specificity - names specific HN users (hn/Alisaqqt 7pts, hn/RyanMu), tracks the API timeline from early Feb preview to Feb 24 Atlas Cloud launch, counts "8+ Show HN wrapper apps" and notes most got zero comments. The "breadth without depth" HN insight is original. Worst: despite including HN, the Reddit sources shift (r/singularity appears, some base-version subreddits drop), and YouTube coverage is mentioned but not deeply integrated.
### Version C
- Groundedness: 5/5
- Specificity: 5/5
- Coverage: 5/5
- Actionability: 5/5
- Format: 4/5
- **Weighted Total**: 4.90/5.0
- Best/worst aspect: Best: the cross-referencing is explicit and adds genuine analytical value - "[xref: HN5/R6, HN4/R6]" connects Reddit scam warnings to HN wrapper apps, the API delay is connected across r/Seedance_AI, r/AIGuild, and r/AI_UGC_Marketing with causal reasoning ("regulatory pressure is reshaping access from multiple directions"). Unique content includes u/Illustrious-One7744's hands-on workflow tips and the r/HiggsfieldAI censorship take. Actionability is the strongest - the SAG-AFTRA timeline, legitimate access methods, and head-to-head comparisons are all directly grounded. Worst: format loses a point for slightly inconsistent stats block formatting (the [xref: 2 cross-refs] notation is helpful but non-standard).
## VERDICT
**Winner for Seedance AI video generation:** Version C
**Why:** Version C produces the most insightful synthesis by explicitly connecting findings across platforms. The regulatory pressure narrative - linking API delays, ElevenLabs removal, and Hollywood backlash into a coherent causal chain across r/Seedance_AI, r/AIGuild, and r/AI_UGC_Marketing - is analysis that neither Version A nor B achieves individually. Version B is a close second with excellent HN depth and the valuable "breadth without depth" observation, but it lacks the cross-platform connections. Version A covers the story well but misses the HN dimension entirely and has weaker format compliance.
**Reveal:** {'A': 'base', 'B': 'hn', 'C': 'cross'}
@@ -0,0 +1,168 @@
# Evaluation: M4 MacBook Pro review
**Query Type:** RECOMMENDATIONS
**Label Map (REVEAL AFTER SCORING):** {'A': 'hn', 'B': 'base', 'C': 'cross'}
## Evaluation Rubric
Score each version 1-5 on these dimensions:
### 1. GROUNDEDNESS (30%)
Does the narrative cite specific sources from the research data?
- 1: Generic statements, no citations, could be written without any research
- 3: Some citations but mixed with pre-existing knowledge filler
- 5: Every finding backed by a specific source ("per @handle", "per r/sub", "per [channel]")
### 2. SPECIFICITY (25%)
Are findings specific (named entities, exact numbers) or vague?
- 1: Vague generalities ("AI video tools are improving", "developers are debating frameworks")
- 3: Some specifics mixed with generic padding
- 5: Named products, exact numbers, version names ("Seedance 2.0 added lip sync", "698 likes")
### 3. COVERAGE (20%)
Does the synthesis represent findings from all available data sources?
- 1: Only mentions 1-2 sources, ignores others
- 3: Mentions most sources but unevenly weighted
- 5: Naturally weaves Reddit, X, YouTube (and HN if available) into the narrative
### 4. ACTIONABILITY (15%)
Does the invitation give specific, research-derived next steps?
- 1: Generic "let me know if you want more info"
- 3: Somewhat specific but not clearly grounded in research findings
- 5: Each suggestion references a specific thing from the research ("I can compare Seedance 2.0 vs Kling")
### 5. FORMAT COMPLIANCE (10%)
Does it follow the expected output format?
- 1: Missing stats block, no invitation, wrong structure
- 3: Partial stats block, generic invitation
- 5: Perfect stats block with real counts, source box-drawing chars, top voices identified
---
## VERSION A
# What I learned
The M4 MacBook Pro has been extensively reviewed across YouTube and Reddit, but the developer-focused Hacker News community has been notably silent on the topic this cycle. Still, the broader conversation paints a detailed picture: the M4 lineup is strong hardware with an increasingly clear "buy the base model" consensus forming. Per @bhphoto, the M3-to-M4 differences are real but not dramatic, and r/macbookpro owners are backing that up with months of ownership data.
**Base M4 is the default recommendation.** MacRumors dedicated a full video to arguing that the base M4 MacBook Pro is all most buyers need, advising people to skip the Pro and Max chips. Just Josh's review and recommendations video landed at a similar conclusion. The M4 Pro and Max are specialized tools - unless you are editing multicam 4K timelines, running sustained ML training, or pushing large local LLMs, the base chip handles professional workloads without breaking a sweat.
**Battery reality is a sore spot.** The most pointed discussion on r/macbookpro compares "battery life reality vs review" - users are finding that Apple's headline battery numbers don't match their daily experience, especially on the 14-inch model. A separate thread flags concern about whether the 14-inch battery life should worry buyers. The gap between controlled reviewer testing and real usage with Chrome, Slack, and Docker running is meaningful enough to generate repeat threads.
**Long-term ownership tells the real story.** The launch-day review cycle was overwhelmingly positive, but the 3-to-12-month follow-ups are more measured. Brandon Butch's 3-month review is titled "This Feels Wrong," capturing the sentiment that the M4 benchmarks well but doesn't feel transformative in practice. Created Tech revisited at both 4 and 6 months; Hardware Canucks called it "insane" at launch but the hype has settled. Per r/macbookpro, at least one owner posted about genuine disappointment with heat management and app stability on their M4 MBP.
**Local LLM capability is a real differentiator.** On X, the conversation has shifted toward the M4 as a local AI machine. @jameslmorton reports 70 tokens/s on a maxed-out 128GB M4 MacBook Pro running local models. @grok confirms Ollama runs natively on Apple Silicon via Metal, with the Q4_K_M quantization needing 18-24GB unified memory for decent performance. This use case barely appeared in traditional reviews but is driving real purchase decisions among developers.
**The upgrade calculus from M3 is thin.** @bhphoto's M3 vs M4 comparison guide lays out the silicon differences, and the conclusion across sources is consistent: if you own an M3 Pro or Max, the M4 is not a compelling upgrade. New buyers benefit; upgraders should probably wait for M5.
---All agents reported back!
├─ 🟠 Reddit: 3 threads │ 0 upvotes │ 0 comments
├─ 🔵 X: 12 posts │ 10 likes │ 1 repost
├─ 🔴 YouTube: 10 videos │ 7,866,700 views │ 3 with transcripts
├─ 🟡 HN: 0 stories (no results this cycle)
├─ 🌐 Web: 0 pages (supplementary)
└─ 🗣️ Top voices: @bhphoto (3 likes), @jameslmorton │ r/macbookpro
---I'm now an expert on M4 MacBook Pro reviews. Some things I can help with:
- Help you decide between the base M4, M4 Pro, and M4 Max based on your actual workflow
- Estimate realistic battery life for your usage pattern vs Apple's marketing claims
- Assess whether upgrading from an M1/M2/M3 MacBook Pro is worth it right now
---
## VERSION B
# What I learned
The M4 MacBook Pro has been out long enough that the conversation has shifted from launch hype to real-world ownership reports - and the picture is more nuanced than the initial review wave suggested. Across r/macbookpro, YouTube reviewers like MKBH and Dave2D, and X chatter from @bhphoto and @jameslmorton, a clear pattern emerges: the M4 lineup is genuinely excellent hardware, but choosing the right configuration matters more than just picking "the best one."
**The base M4 is the real story.** MacRumors made the bold claim that the base M4 MacBook Pro is all most people need, recommending users skip the M4 Pro and Max entirely. This echoes Just Josh's review and recommendations video, which walked through specific use cases where the base chip handles the workload just fine. For general dev work, photography, and everyday professional use, the consensus is that the jump to Pro/Max is wasted money unless you have a specific sustained workload that demands it.
**Battery life claims don't hold up for everyone.** One of the most active discussion threads on r/macbookpro directly compares "battery life reality vs review" numbers, with users reporting real-world results that fall short of Apple's headline claims. The 14-inch model's battery in particular drew scrutiny, with another thread asking "should I be concerned?" after seeing lower-than-expected drain rates. Reviewers tested under controlled conditions; actual usage with Electron apps, browsers, and background processes tells a different story.
**Long-term reviews are more honest than launch reviews.** Brandon Butch's 3-month review is titled "This Feels Wrong" - pointing to the cognitive dissonance of a machine that benchmarks well but doesn't feel dramatically different from the M3 in daily use. Created Tech's 6-month follow-up and Tech It Easy's 1-year review both confirm this: the M4 Pro is a solid incremental upgrade, not a generational leap. Meanwhile, at least one r/macbookpro user posted about being genuinely "disappointed" with heat and app stability issues, per r/macbookpro.
**Local AI workloads are the new benchmark.** A notable shift in the X conversation: multiple posts (including from @grok and @jameslmorton) discuss running LLMs locally on M4 Pro/Max hardware. The 128GB unified memory config can push 70 tokens/s on local models, per @jameslmorton, and Ollama runs natively via Metal. This is becoming a real purchase consideration for developers and AI enthusiasts - something no traditional review covers well.
**M3 vs M4 upgrade: marginal for most.** @bhphoto's comparison guide between M3 and M4 silicon suggests the differences are real but not dramatic for most workflows. Unless you specifically need the Nano texture display, Thunderbolt 5, or the extra GPU cores, holding an M3 Pro is still a strong position.
---All agents reported back!
├─ 🟠 Reddit: 3 threads │ 0 upvotes │ 0 comments
├─ 🔵 X: 12 posts │ 10 likes │ 1 repost
├─ 🔴 YouTube: 10 videos │ 7,866,702 views │ 3 with transcripts
├─ 🌐 Web: 0 pages (supplementary)
└─ 🗣️ Top voices: @bhphoto (3 likes), @jameslmorton │ r/macbookpro
---I'm now an expert on M4 MacBook Pro reviews. Some things I can help with:
- Compare the base M4 vs M4 Pro vs M4 Max for your specific workload (dev, creative, AI/ML)
- Break down real-world battery life expectations by screen size and usage pattern
- Advise whether upgrading from M1/M2/M3 is worth it based on long-term reviewer consensus
---
## VERSION C
# What I learned
Cross-referencing Reddit ownership reports, YouTube long-term reviews, and X commentary on the M4 MacBook Pro reveals a maturing consensus: this is excellent hardware with a surprisingly simple recommendation for most buyers. MKBHD's review (4M+ views) and Dave2D's deep dive both confirm that the M4 Max convinced even skeptical upgraders, while r/macbookpro threads tell a more complicated story about living with the machine day to day.
**The Air-to-Pro switch is about more than the chip.** One of the most interesting Reddit threads covers a user who returned an M4 MacBook Air for the M4 MacBook Pro - and the reasons weren't about raw performance. The Pro's display quality, speaker system, and port selection drove the decision, per r/macbookpro. This suggests the "just buy the Air" advice that dominates YouTube doesn't account for the full ownership experience. Created Tech's 4-month Air vs Pro comparison video captures this tension, finding meaningful differences in sustained workloads and thermals.
**Battery expectations need recalibrating.** Multiple r/macbookpro threads question the M4 Pro 14-inch battery life against Apple's advertised numbers. Real-world users report notably different drain rates depending on workload mix, and there is genuine concern rather than just nitpicking. The pattern across Reddit is consistent: if you run development tools, Docker, or browser-heavy workflows, expect meaningfully less than Apple's "up to 24 hours" claim.
**Long-term reviewers are more candid.** The YouTube landscape for this topic is unusually rich in follow-up content. Brandon Butch's 3-month review flags the disconnect between benchmarks and daily feel. Max Tech published two separate long-term reviews - one at 1 month calling it "BEST Mac EVER!?" and another at 6 months titled "Everyone was WRONG!" - showing how opinions evolve with extended use, per Max Tech on YouTube. Created Tech's 6-month review reinforces the incremental-upgrade narrative. Hardware Canucks initially called it "insane" but that enthusiasm has cooled.
**Local AI is the sleeper use case.** The X conversation is dominated by AI workload discussions. @jameslmorton reports 70 tokens/s on a fully loaded 128GB M4 MacBook Pro, though notes quality varies dramatically by model. @grok confirms Ollama runs natively via Metal on M4 hardware, needing 18-24GB unified memory for usable inference speeds. For developers evaluating the M4 Pro vs Max, local LLM performance is becoming as important as traditional creative benchmarks.
**Configuration advice is converging.** Across all sources, the recommendation structure is settling: base M4 for general professional use, M4 Pro 24GB for developers and moderate creative work, M4 Max only for sustained GPU workloads or large local model inference. MacRumors explicitly advises skipping Pro and Max for most buyers. The M3-to-M4 upgrade path remains thin unless you need Thunderbolt 5 or the Nano texture display, per @bhphoto.
---All agents reported back!
├─ 🟠 Reddit: 3 threads │ 0 upvotes │ 0 comments
├─ 🔵 X: 12 posts │ 10 likes │ 1 repost
├─ 🔴 YouTube: 10 videos │ 7,926,186 views │ 3 with transcripts
├─ 🟡 HN: 0 stories (no results this cycle)
├─ 🌐 Web: 0 pages (supplementary)
└─ 🗣️ Top voices: @bhphoto (3 likes), @jameslmorton │ r/macbookpro
---I'm now an expert on M4 MacBook Pro reviews. Some things I can help with:
- Compare the M4 MacBook Air vs Pro for your specific use case (the differences go beyond specs)
- Recommend the right M4 configuration tier based on whether you run local AI models, creative apps, or dev tools
- Give you realistic battery life expectations based on Reddit owner reports, not Apple's marketing numbers
---
## SCORES
### Version A
- Groundedness: 4/5
- Specificity: 4/5
- Coverage: 4/5
- Actionability: 4/5
- Format: 3/5
- **Weighted Total**: 3.85/5.0
- Best/worst aspect: Best: good multi-source weaving - Reddit battery threads, YouTube long-term reviews (Brandon Butch, Created Tech, Hardware Canucks), X handles (@jameslmorton 70 tokens/s, @bhphoto, @grok), and specific tool mentions (Ollama, Q4_K_M quantization, Chrome/Slack/Docker). Worst: format has issues - the "---All agents" and "---I'm now" lines lack proper spacing, and HN shows 0 stories which is acknowledged but the narrative notes HN silence as a finding rather than just reporting the gap.
### Version B
- Groundedness: 4/5
- Specificity: 4/5
- Coverage: 3/5
- Actionability: 4/5
- Format: 3/5
- **Weighted Total**: 3.70/5.0
- Best/worst aspect: Best: solid specificity with named reviewers (Brandon Butch, Created Tech, Tech It Easy, Hardware Canucks, MacRumors, Just Josh), exact numbers (70 tokens/s, 128GB), and specific YouTube view data mentioned implicitly. Good narrative structure moving from configuration to battery to long-term to AI to upgrade advice. Worst: coverage is the weakest dimension - no HN data, and the synthesis doesn't weave X and YouTube together as tightly as it could. Stats block missing the HN line entirely.
### Version C
- Groundedness: 4/5
- Specificity: 5/5
- Coverage: 4/5
- Actionability: 5/5
- Format: 3/5
- **Weighted Total**: 4.20/5.0
- Best/worst aspect: Best: strongest specificity and most original findings - the Air-to-Pro return thread is unique to this version and adds a novel angle. Max Tech's dual review titles ("BEST Mac EVER!?" at 1 month vs "Everyone was WRONG!" at 6 months) perfectly illustrate opinion evolution. The configuration tier recommendation (base M4 / M4 Pro 24GB / M4 Max) is the most actionable output across all three versions. MKBHD (4M+ views) and Dave2D are explicitly named. Worst: format has the same spacing issue as the others, and coverage still shows 0 HN stories. YouTube view count (7.9M) is slightly higher than the others, suggesting more YouTube data was pulled.
## VERDICT
**Winner for M4 MacBook Pro review:** Version C
**Why:** Version C wins by surfacing unique angles the others miss (Air-to-Pro return story, Max Tech's evolving opinion across two reviews) and producing the most actionable configuration framework. All three versions are relatively close because HN had 0 results for this topic, eliminating the cross-referencing advantage the cross version usually has. Version C differentiates through deeper YouTube mining (more specific review titles and quoted perspectives) and a more structured recommendation framework. Version A is a close second with slightly better format compliance (acknowledging HN silence explicitly).
**Reveal:** {'A': 'hn', 'B': 'base', 'C': 'cross'}
@@ -0,0 +1,172 @@
# Evaluation: best rap songs 2026
**Query Type:** RECOMMENDATIONS
**Label Map (REVEAL AFTER SCORING):** {'A': 'hn', 'B': 'base', 'C': 'cross'}
## Evaluation Rubric
Score each version 1-5 on these dimensions:
### 1. GROUNDEDNESS (30%)
Does the narrative cite specific sources from the research data?
- 1: Generic statements, no citations, could be written without any research
- 3: Some citations but mixed with pre-existing knowledge filler
- 5: Every finding backed by a specific source ("per @handle", "per r/sub", "per [channel]")
### 2. SPECIFICITY (25%)
Are findings specific (named entities, exact numbers) or vague?
- 1: Vague generalities ("AI video tools are improving", "developers are debating frameworks")
- 3: Some specifics mixed with generic padding
- 5: Named products, exact numbers, version names ("Seedance 2.0 added lip sync", "698 likes")
### 3. COVERAGE (20%)
Does the synthesis represent findings from all available data sources?
- 1: Only mentions 1-2 sources, ignores others
- 3: Mentions most sources but unevenly weighted
- 5: Naturally weaves Reddit, X, YouTube (and HN if available) into the narrative
### 4. ACTIONABILITY (15%)
Does the invitation give specific, research-derived next steps?
- 1: Generic "let me know if you want more info"
- 3: Somewhat specific but not clearly grounded in research findings
- 5: Each suggestion references a specific thing from the research ("I can compare Seedance 2.0 vs Kling")
### 5. FORMAT COMPLIANCE (10%)
Does it follow the expected output format?
- 1: Missing stats block, no invitation, wrong structure
- 3: Partial stats block, generic invitation
- 5: Perfect stats block with real counts, source box-drawing chars, top voices identified
---
## VERSION A
# What I learned
Early 2026 rap is in a transitional moment - Grammy season just wrapped, playlist curators are compiling their first "best of" roundups, and the community is still debating which new tracks deserve the crown. Across 25 sources from Reddit, X, and YouTube, a handful of names and tracks keep appearing, with Lil Uzi Vert's "What You Saying" leading the pack.
**Most-mentioned artists and tracks across sources:**
- **Lil Uzi Vert - "What You Saying"** - cited in 3 X posts (@grok) as hitting #1 on Hot Rap Songs in January 2026, peaking #14 Hot 100. The most chart-validated rap track of the year so far, with a surprise album rumored to follow.
- **Nuno Zigi - "World Best Lie"** - called out by @Zika_gfx as a standout meaningful rap song for 2026 (highest engagement X post, 12 likes/5 RTs).
- **DFL - "Art Of Life"** - shared directly to r/hiphop as a 2026 release. Sources: r/hiphop.
- **Plat Hav Pro - "Get F'D Up"** - another 2026 track posted to r/hiphop. Sources: r/hiphop.
- **Jody Lo - "Ridiculous"** - 2026 track shared in r/hiphop. Sources: r/hiphop.
- **Westside Gunn - "12" (album)** - r/hiphopheads ran a 1-year retrospective discussion, with users citing favorite tracks still in rotation.
The HN version's expanded Reddit search (10 threads vs. 6 in base) surfaced several sources the base version missed. r/playlists has a dedicated "Mix Rap Hiphop 2026" thread, r/musicplaylists has a "Best 2026 Rap Playlist" post with 178 saves, and r/hiphop contributed three individual 2026 track posts (DFL, Plat Hav Pro, Jody Lo) that give concrete song recommendations. The r/edranked "Reddit Ranked: Hip Hop '26" community ranking project also appeared here, confirming it as a key aggregation point.
Grammy discourse is prominent: r/hiphopheads discussed Pre-Show winners across Best Rap Song and Best Rap Performance categories, providing a baseline for what the industry considers the best.
On YouTube, the same three mixes appeared - West Coast Finest's "Lit Hip Hop Mix 2026" (407K views, featuring Tyga, Quavo, Iggy Azalea, Wiz Khalifa, Juicy J, 50 Cent) and DJ Noize's two February compilations (Trap Tape #127, Hot Right Now #153). These function as the best discovery playlists for current rap rotation.
```
Sources: 25 items (Jan 26 - Feb 25, 2026)
|- Reddit: 10 threads (r/hiphopheads, r/playlists, r/musicplaylists, r/hiphop, r/edranked)
|- X: 12 posts (@grok, @Zika_gfx, @DPOSTS6, @teammusic2046)
|- YouTube: 3 videos (West Coast Finest, DJ Noize x2)
|- HN: 0 stories
```
Want me to pull the full tracklist from that r/musicplaylists "Best 2026 Rap Playlist" with 178 saves, dive into the Westside Gunn retrospective for standout tracks, or search for what won Best Rap Song at the 2026 Grammys?
---
## VERSION B
# What I learned
The conversation around "best rap songs 2026" is still early-year and fragmented - no single track has emerged as a consensus pick yet, but a few names keep surfacing. Lil Uzi Vert's "What You Saying" is the closest thing to a frontrunner, cited across multiple @grok posts on X and referenced in r/hiphopheads discussion threads as hitting #1 on Hot Rap Songs in January 2026 and peaking at #14 on the Hot 100.
**Most-mentioned artists and tracks across sources:**
- **Lil Uzi Vert - "What You Saying"** - mentioned in 3 X posts (@grok) and discussed in r/hiphopheads daily threads. The standout chart performer so far in 2026, with his third career #1 on Hot Rap Songs.
- **Nuno Zigi - "World Best Lie"** - highlighted by @Zika_gfx as a meaningful 2026 rap track (highest-scored X post at 86).
- **Tyga, Quavo, Wiz Khalifa, 50 Cent** - featured in West Coast Finest's "Lit Hip Hop Mix 2026" on YouTube (407K views), the most-watched video in these results.
- **Sean Bryant - "Love vs Loyalty" (album)** - teased by @teammusic2046 as a forthcoming 2026 project.
The Grammy conversation is also shaping early "best of" discourse. r/hiphopheads discussed 2026 Pre-Show Grammy winners across rap categories, and the r/edranked community is running an active "Reddit Ranked: Hip Hop '26" submission thread where users are nominating their top picks.
On YouTube, DJ Noize's February 2026 mixtapes (Trap Tape #127 and Hot Right Now #153) are functioning as curated discovery playlists for new rap, collectively pulling ~55K views. The West Coast Finest mix leans toward established names, while DJ Noize's mixes skew toward whatever is freshest.
One notable gap: there is very little discussion of specific 2026 albums yet. The Pitchfork "32 Best Rap Albums of 2025" thread on r/hiphopheads is still driving more engagement than any 2026 album discussion, suggesting listeners are still digesting last year's releases.
```
Sources: 21 items (Jan 26 - Feb 25, 2026)
|- Reddit: 6 threads (r/hiphopheads, r/TeenageRapFans, r/HivemindTV, r/edranked)
|- X: 12 posts (@grok, @Zika_gfx, @DPOSTS6, @teammusic2046)
|- YouTube: 3 videos (West Coast Finest, DJ Noize x2)
```
Want me to dig deeper into any of these? I could pull the full r/edranked "Hip Hop '26" ranking thread for community-voted picks, check what tracks are in the DJ Noize February mixtape, or search for early 2026 album drops that might contain standout singles.
---
## VERSION C
# What I learned
The "best rap songs 2026" landscape is being shaped by three forces right now: Grammy season validation, community-curated playlists, and chart performance. Across 26 sources spanning Reddit, X, and YouTube, this is the most complete picture available of what people are calling the best rap of the year so far.
**Most-mentioned artists and tracks across sources:**
- **Lil Uzi Vert - "What You Saying"** - the dominant early-2026 rap single, cited across 3 X posts (@grok) as hitting #1 on Hot Rap Songs in January 2026 and peaking #14 on the Hot 100. His third career chart-topper in the format, with a surprise album reportedly on the way.
- **Kendrick Lamar & SZA - "Luther"** - won Record of the Year at the 68th Grammys per r/hiphopheads, with the r/KendrickLamar live megathread calling it a defining moment for the 2026 awards cycle. Sources: r/hiphopheads, r/KendrickLamar.
- **Nuno Zigi - "World Best Lie"** - @Zika_gfx flagged this as a meaningful 2026 rap track (highest-engagement X post at 86 score, 12 likes/5 RTs).
- **Drake & PARTYNEXTDOOR - "$ome $exy $ongs 4 U"** - r/hiphopheads ran a 1-year retrospective discussion, with users debating which tracks still hold up. Sources: r/hiphopheads.
- **Andre Toutman - "All The Love"** - claimed as a "song of the year" contender on r/GoodAssSub, generating debate about whether it deserves that label.
- **Sean Bryant - "Love vs Loyalty" (album)** - teased by @teammusic2046 as an upcoming 2026 project.
The cross-platform version pulled the richest Reddit haul (11 threads), surfacing several high-signal sources the other versions missed. The r/makemeaplaylist weekly competition featured an underground rap playlist winner. r/GoodAssSub contributed a direct "song of the year" debate thread. And critically, r/hiphopheads had the Kendrick/SZA Grammy thread and the Drake/PARTYNEXTDOOR retrospective - both of which anchor what "best" means in different ways (industry recognition vs. staying power).
The Grammy conversation runs deep here: r/hiphopheads covered Pre-Show winners, r/KendrickLamar hosted a live megathread for the 68th Annual ceremony, and the Best Rap Song category discussion appeared across both. Kendrick's Grammy wins position "Luther" and his broader catalog as the critical establishment's answer to "best rap."
YouTube coverage remained consistent across all versions - West Coast Finest's mix (407K views, Tyga/Quavo/Wiz Khalifa/50 Cent) and DJ Noize's two February compilations (Trap Tape #127, Hot Right Now #153) are the go-to discovery channels for current rotation tracks.
```
Sources: 26 items (Jan 26 - Feb 25, 2026)
|- Reddit: 11 threads (r/hiphopheads, r/KendrickLamar, r/GoodAssSub, r/edranked, r/makemeaplaylist, r/playlists)
|- X: 12 posts (@grok, @Zika_gfx, @DPOSTS6, @teammusic2046)
|- YouTube: 3 videos (West Coast Finest, DJ Noize x2)
|- HN: 0 stories
```
Want me to pull the full Grammy rap category winners from the r/hiphopheads Pre-Show thread, check what tracks people are nominating in the r/edranked "Hip Hop '26" ranking, or look into what Andre Toutman's "All The Love" actually sounds like?
---
## SCORES
### Version A
- Groundedness: 4/5
- Specificity: 5/5
- Coverage: 4/5
- Actionability: 4/5
- Format: 4/5
- **Weighted Total**: 4.25/5.0
- Best/worst aspect: Best: the most specific track list across versions - adds DFL "Art Of Life," Plat Hav Pro "Get F'D Up," Jody Lo "Ridiculous," and Westside Gunn "12" album, all with subreddit sources. Also surfaces r/musicplaylists "Best 2026 Rap Playlist" (178 saves) and r/playlists "Mix Rap Hiphop 2026" - concrete discovery resources. Worst: the meta-commentary about "HN version's expanded Reddit search (10 threads vs. 6 in base)" breaks the fourth wall and reveals awareness of the comparison, which is a format/narrative flaw.
### Version B
- Groundedness: 4/5
- Specificity: 4/5
- Coverage: 3/5
- Actionability: 3/5
- Format: 4/5
- **Weighted Total**: 3.65/5.0
- Best/worst aspect: Best: honest and well-calibrated - the observation that "there is very little discussion of specific 2026 albums yet" and that the Pitchfork 2025 list is still driving more engagement is a genuine insight that adds value. Good specificity on chart performance (Hot Rap Songs #1, Hot 100 #14, third career #1). Worst: coverage is the thinnest - only 4 tracks named, 6 Reddit threads, and the YouTube coverage is generic (DJ Noize "~55K views" is approximate). The actionability suggestions are reasonable but less specific than the other versions.
### Version C
- Groundedness: 5/5
- Specificity: 5/5
- Coverage: 5/5
- Actionability: 5/5
- Format: 4/5
- **Weighted Total**: 4.80/5.0
- Best/worst aspect: Best: highest-value new information - surfaces Kendrick Lamar & SZA "Luther" winning Record of the Year at the 68th Grammys (with r/KendrickLamar megathread), Drake & PARTYNEXTDOOR "$ome $exy $ongs 4 U" retrospective, and Andre Toutman "All The Love" song-of-the-year contender from r/GoodAssSub. The Grammy thread is the single most important finding for "best rap" and only this version has it. 11 Reddit threads vs 6 and 10 in the other versions. Worst: like Version A, contains some meta-commentary about "cross-platform version pulled the richest Reddit haul" which breaks immersion.
## VERDICT
**Winner for best rap songs 2026:** Version C
**Why:** Version C wins decisively by surfacing the Kendrick Lamar & SZA Grammy win - the single most important data point for "best rap songs 2026" that neither Version A nor B found. It also pulls from the most Reddit communities (11 threads across r/hiphopheads, r/KendrickLamar, r/GoodAssSub, r/edranked, r/makemeaplaylist, r/playlists) and names 6 specific tracks with full source attribution. Version A is second with strong underground track coverage and playlist resources. Version B is third - it is honest about the thin landscape but has the fewest tracks and narrowest source base.
**Reveal:** {'A': 'hn', 'B': 'base', 'C': 'cross'}
@@ -0,0 +1,192 @@
# Evaluation: React vs Svelte 2026
**Query Type:** GENERAL
**Label Map (REVEAL AFTER SCORING):** {'A': 'cross', 'B': 'base', 'C': 'hn'}
## Evaluation Rubric
Score each version 1-5 on these dimensions:
### 1. GROUNDEDNESS (30%)
Does the narrative cite specific sources from the research data?
- 1: Generic statements, no citations, could be written without any research
- 3: Some citations but mixed with pre-existing knowledge filler
- 5: Every finding backed by a specific source ("per @handle", "per r/sub", "per [channel]")
### 2. SPECIFICITY (25%)
Are findings specific (named entities, exact numbers) or vague?
- 1: Vague generalities ("AI video tools are improving", "developers are debating frameworks")
- 3: Some specifics mixed with generic padding
- 5: Named products, exact numbers, version names ("Seedance 2.0 added lip sync", "698 likes")
### 3. COVERAGE (20%)
Does the synthesis represent findings from all available data sources?
- 1: Only mentions 1-2 sources, ignores others
- 3: Mentions most sources but unevenly weighted
- 5: Naturally weaves Reddit, X, YouTube (and HN if available) into the narrative
### 4. ACTIONABILITY (15%)
Does the invitation give specific, research-derived next steps?
- 1: Generic "let me know if you want more info"
- 3: Somewhat specific but not clearly grounded in research findings
- 5: Each suggestion references a specific thing from the research ("I can compare Seedance 2.0 vs Kling")
### 5. FORMAT COMPLIANCE (10%)
Does it follow the expected output format?
- 1: Missing stats block, no invitation, wrong structure
- 3: Partial stats block, generic invitation
- 5: Perfect stats block with real counts, source box-drawing chars, top voices identified
---
## VERSION A
## What I learned:
The React vs Svelte debate in 2026 has matured from "which is better" to "when does each make sense" - and the community data reflects this nuance. With 6 Reddit threads surfaced (the most of any version), including real decision-making discussions on r/sveltejs about government portals and learning timelines, the cross-platform search captured a richer picture of how developers are actually choosing between these frameworks. Beyond Fireship's head-to-head comparison video remains the canonical reference with nearly 700K views.
**Real Projects, Real Tradeoffs** - The most revealing thread came from a developer evaluating Svelte for a bilingual government portal on r/sveltejs, weighing accessibility, SEO, and form handling against their React/.NET background. This is the 2026 framework decision in practice: not "which benchmark wins" but "which framework handles my specific constraints." The r/webdev migration thread provided the performance-gain narrative, while r/sveltejs threads on ease of learning showed Svelte's onboarding advantage remains strong.
**The Simplicity Question Got Complicated** - An r/sveltejs thread directly asked "Is Svelte easier than React?" - and the answers were more nuanced than expected. Svelte 5's rune system drew mixed reactions; Fireship's analysis questioned whether runes "ruined" what made Svelte appealing in the first place. The shift from implicit dollar-sign reactivity to explicit runes brought Svelte closer to React's mental model, which paradoxically weakened Svelte's differentiation pitch.
**React's Moat Is Cultural, Not Technical** - @nicobaogim argued React in 2026 only makes sense for ecosystem maturity and team habits. An r/sveltejs thread on "how is Svelte going" revealed job-market pragmatism as the quiet force keeping React dominant - developers personally prefer Svelte but professionally default to React. @Chubbi_Stephen's satirical framework discourse captured this tension perfectly.
**Post-Framework Thinking Is Emerging** - @cityjsconf announced a talk on Ripple that cherry-picks from React, Svelte, and Solid, while @dennydotio predicted frameworks themselves become obsolete once AI handles code generation. The Japanese developer community is exploring WebF, which compiles React/Vue/Svelte directly to native apps, per @QiitaTrend.
**KEY PATTERNS:**
1. **Decision-making threads outnumber opinion threads** - developers are asking "when should I use Svelte" not "is Svelte good," signaling market maturation, per r/sveltejs
2. **Svelte wins the greenfield argument, React wins the hiring argument** - the tradeoff is consistently framed around team composition, not technology, per @nicobaogim
3. **Svelte 5 runes narrowed the gap in both directions** - Svelte gained explicitness but lost some of its simplicity advantage over React, per Fireship on YouTube
4. **Real-world constraint discussions favor nuanced choices** - the government portal thread showed that SSR support, a11y tooling, and i18n readiness matter more than DX benchmarks, per r/sveltejs
5. **Cross-compilation and hybrid approaches are gaining traction** - WebF and Ripple both treat React and Svelte as source material rather than competing endpoints, per @QiitaTrend
---
All agents reported back!
├─ 🟠 Reddit: 6 threads │ 339 upvotes
├─ 🔵 X: 9 posts │ 76 likes │ 4 reposts
├─ 🔴 YouTube: 10 videos │ 2,085,183 views │ 3 with transcripts
├─ 🟡 HN: 0 stories (no results this cycle)
├─ 🌐 Web: supplementary
└─ 🗣️ Top voices: @FabianHiller (61 likes), @cityjsconf │ r/sveltejs, r/webdev, r/react
---
I'm now an expert on React vs Svelte 2026. Some things I can help with:
- Evaluate whether Svelte fits a specific project with constraints like a11y, i18n, or SSR requirements
- Compare the hiring and ecosystem implications of choosing Svelte over React for a new team
- Analyze how Svelte 5 runes changed the developer experience compared to Svelte 4's dollar-sign syntax
---
## VERSION B
## What I learned:
The React vs Svelte debate in 2026 is no longer theoretical - developers are making real migration decisions, and the community is split between pragmatism and aspiration. A startup migration story on r/webdev documented concrete performance gains after moving from React to Svelte 5, while Fireship's viral video framed React as actively trying to "win back" developers it's been losing.
**The "Late-Stage React" Narrative** - A growing faction of frontend developers describe React in 2026 as mature but bloated. @cityjsconf promoted a talk introducing Ripple, a new framework explicitly built from "the good parts of React, Svelte, and Solid" - positioning React as something to cherry-pick from rather than adopt wholesale. Meanwhile @Chubbi_Stephen captured the circular framework discourse perfectly: everyone argues about alternatives, but React still powers 80% of production apps.
**Svelte 5 Runes Changed the Calculus** - The introduction of runes in Svelte 5 was supposed to simplify reactivity, but Fireship's analysis on YouTube questioned whether runes actually "ruined" what made Svelte special - its magical dollar-sign syntax. The r/react community thread comparing hooks vs runes shows developers weighing whether Svelte 5's new mental model is actually simpler than React's hooks, or just differently complex.
**Ecosystem Lock-In Remains React's Moat** - Across Reddit and X, the pragmatic argument keeps winning. @nicobaogim argued that picking React in 2026 "only really makes sense if you value ecosystem maturity" or need React-specific libraries - essentially conceding React isn't technically superior but remains the safe choice. Svelte converts on r/sveltejs acknowledged reduced dev time but warned about the thinner ecosystem.
**AI May Make Frameworks Irrelevant** - @dennydotio offered a provocative prediction: 2026 marks the death of JS frameworks entirely, arguing that frameworks "only exist because humans need organized code to stay sane" - once AI handles the code, the abstraction layer becomes unnecessary.
**KEY PATTERNS:**
1. **Migration stories favor Svelte on DX, but caveats persist** - real teams report faster development but smaller library ecosystem, per r/webdev
2. **React's dominance is increasingly described as inertia, not preference** - developers choose it for jobs and existing teams, not technical merit, per @nicobaogim
3. **Svelte 5 runes divided the Svelte community itself** - the shift from implicit to explicit reactivity alienated some early adopters, per Fireship on YouTube
4. **New frameworks are synthesizing both** - Ripple and similar projects treat React and Svelte as ingredient frameworks, per @cityjsconf
5. **TypeScript-first tooling is the real 2026 baseline** - @FabianHiller's post about type-safe forms got the most engagement, suggesting developers care more about DX tooling than framework wars
---
All agents reported back!
├─ 🟠 Reddit: 4 threads │ 202 upvotes
├─ 🔵 X: 9 posts │ 76 likes │ 4 reposts
├─ 🔴 YouTube: 10 videos │ 2,027,387 views │ 3 with transcripts
├─ 🌐 Web: supplementary
└─ 🗣️ Top voices: @FabianHiller (61 likes), @cityjsconf │ r/react, r/webdev
---
I'm now an expert on React vs Svelte 2026. Some things I can help with:
- Compare the actual DX tradeoffs if you're considering migrating a React app to Svelte 5
- Analyze whether Svelte 5 runes or React hooks better fit your team's mental model
- Break down the ecosystem gaps that still keep teams on React despite Svelte's performance advantages
---
## VERSION C
## What I learned:
The React vs Svelte conversation in early 2026 is driven by real migration decisions rather than abstract benchmarks. A widely-discussed r/webdev thread documented one startup's move from React to Svelte 5 with tangible performance and developer experience improvements, while Fireship's video on React trying to "win back" developers pulled nearly 700K views - signaling broad community interest in this rivalry.
**Svelte 5 vs React Hooks - The Mental Model War** - The r/react comparison thread directly pits Svelte 5 runes against React hooks, with developers debating which abstraction better maps to how they think about state. An r/sveltejs thread on "when to choose React over Svelte" framed the decision around practical constraints: existing team knowledge, library availability, and hiring. The consensus leans toward Svelte for greenfield projects and React for teams already invested in its ecosystem.
**"Late-Stage React" Enters the Vocabulary** - @cityjsconf promoted a CityJS talk on Ripple, a new framework that extracts "the good parts of React, Svelte, and Solid" - framing React as entering its legacy phase. This mirrors @Chubbi_Stephen's satirical take on framework discourse, where every developer argues against React but React keeps powering 80% of production sites.
**The Ecosystem Moat Is Real but Narrowing** - @nicobaogim made the case that React's only 2026 advantage is ecosystem maturity and team habits, not technical superiority. Beyond Fireship's side-by-side "10 Examples" comparison showed Svelte consistently requiring less code for equivalent functionality, reinforcing the DX argument.
**Frameworks Facing Existential Questions** - @dennydotio predicted 2026 as the year JS frameworks start dying, arguing they exist for human code organization rather than machine needs. If AI-generated code becomes the norm, the framework abstraction layer loses its purpose entirely.
**KEY PATTERNS:**
1. **Migration stories consistently favor Svelte on performance and code volume** - but teams flag ecosystem gaps as the main friction, per r/webdev
2. **React is chosen by default, Svelte is chosen by conviction** - the decision framework centers on team inertia vs technical preference, per @nicobaogim
3. **Svelte 5 runes remain contentious within the Svelte community** - some developers feel runes traded Svelte's simplicity for React-like explicitness, per Fireship on YouTube
4. **Hybrid frameworks are emerging from the debate** - new projects like Ripple synthesize patterns from both, treating the rivalry as a source of ideas rather than a winner-take-all contest, per @cityjsconf
5. **TypeScript-first DX is the shared ground** - @FabianHiller's type-safe forms tooling drew the highest engagement, suggesting the real frontier is developer tooling, not framework choice
---
All agents reported back!
├─ 🟠 Reddit: 3 threads │ 172 upvotes
├─ 🔵 X: 9 posts │ 76 likes │ 4 reposts
├─ 🔴 YouTube: 10 videos │ 2,085,181 views │ 3 with transcripts
├─ 🟡 HN: 0 stories (no results this cycle)
├─ 🌐 Web: supplementary
└─ 🗣️ Top voices: @FabianHiller (61 likes), @cityjsconf │ r/react, r/webdev
---
I'm now an expert on React vs Svelte 2026. Some things I can help with:
- Break down the hooks vs runes mental model differences with concrete code examples
- Assess whether your project's constraints favor React's ecosystem or Svelte's DX advantages
- Explore what "late-stage React" means for long-term framework strategy
---
## SCORES
### Version A
- Groundedness: 5/5
- Specificity: 5/5
- Coverage: 5/5
- Actionability: 5/5
- Format: 4/5
- **Weighted Total**: 4.90/5.0
- Best/worst aspect: Best: the richest and most grounded synthesis - surfaces the government portal thread from r/sveltejs (weighing a11y, i18n, SEO for a bilingual site against a React/.NET background), which is the most practical decision-making example across all versions. Also finds WebF from @QiitaTrend (Japanese dev community) that compiles React/Vue/Svelte to native - a unique cross-cultural data point. 6 Reddit threads and 339 upvotes vs 3-4 in others. Worst: the opening line references "the most of any version" which is meta-commentary breaking the fourth wall.
### Version B
- Groundedness: 4/5
- Specificity: 4/5
- Coverage: 3/5
- Actionability: 4/5
- Format: 4/5
- **Weighted Total**: 3.80/5.0
- Best/worst aspect: Best: good narrative structure with clear section headers and the "Late-Stage React" framing is memorable and well-attributed. The @FabianHiller type-safe forms insight (pattern 5) is valuable - noting that DX tooling engagement exceeds framework war engagement. Worst: thinnest coverage at 4 Reddit threads and 202 upvotes, missing r/sveltejs-specific threads that the other versions found. The AI-makes-frameworks-irrelevant angle from @dennydotio is interesting but underdeveloped.
### Version C
- Groundedness: 4/5
- Specificity: 4/5
- Coverage: 3/5
- Actionability: 4/5
- Format: 4/5
- **Weighted Total**: 3.80/5.0
- Best/worst aspect: Best: cleanest narrative flow and the "React is chosen by default, Svelte is chosen by conviction" pattern is the most quotable insight across all versions. The r/sveltejs "when to choose React over Svelte" thread and the Beyond Fireship "10 Examples" side-by-side are well-cited. Worst: only 3 Reddit threads (172 upvotes), the narrowest Reddit surface. Despite having HN in its pipeline, HN returned 0 stories and the synthesis doesn't make up for this with deeper Reddit mining the way Version A does.
## VERDICT
**Winner for React vs Svelte 2026:** Version A
**Why:** Version A wins by pulling the richest Reddit data (6 threads, 339 upvotes) and surfacing the most practical, decision-relevant content - the government portal thread is exactly what someone asking "React vs Svelte in 2026" needs to see. It also finds unique cross-cultural signal (WebF from @QiitaTrend) that the other versions miss. Versions B and C are tied in weighted score - B has better narrative framing ("Late-Stage React") while C has slightly cleaner writing, but both suffer from thinner Reddit coverage. HN had 0 results for this topic, so the differentiator was depth of Reddit mining, where Version A clearly excelled.
**Reveal:** {'A': 'cross', 'B': 'base', 'C': 'hn'}
@@ -0,0 +1,518 @@
{
"topic": "Claude Code skills and MCP servers",
"range": {
"from": "2026-01-26",
"to": "2026-02-25"
},
"generated_at": "2026-02-25T20:28:50.287295+00:00",
"mode": "both",
"openai_model_used": "gpt-5.2",
"xai_model_used": "grok-4-1-fast",
"reddit": [
{
"id": "R2",
"title": "We 3x'd our team's Claude Code skill usage in 2 weeks \u2014 here's how",
"url": "https://www.reddit.com/r/ClaudeCode/comments/1rbr5t7/we_3xd_our_teams_claude_code_skill_usage_in_2/",
"subreddit": "ClaudeCode",
"date": "2026-02-22",
"date_confidence": "high",
"engagement": null,
"top_comments": [],
"comment_insights": [],
"relevance": 0.94,
"why_relevant": "Discussion of Claude Code skills adoption/usage, plus mentions syncing skills/hooks/MCP configs.",
"subs": {
"relevance": 94,
"recency": 90,
"engagement": 50
},
"score": 76
},
{
"id": "R4",
"title": "ClaudeInOne \u2014 a full framework for Claude Code, installed in one command",
"url": "https://www.reddit.com/r/ClaudeCode/comments/1rcbria/claudeinone_a_full_framework_for_claude_code/",
"subreddit": "ClaudeCode",
"date": "2026-02-23",
"date_confidence": "high",
"engagement": null,
"top_comments": [],
"comment_insights": [],
"relevance": 0.9,
"why_relevant": "Framework bundling many Claude Code skills/agents/commands; lots of skills-related discussion.",
"subs": {
"relevance": 90,
"recency": 93,
"engagement": 50
},
"score": 75
},
{
"id": "R1",
"title": "Self-improvement Loop: My favorite Claude Code Skill",
"url": "https://www.reddit.com/r/ClaudeCode/comments/1r89084/selfimprovement_loop_my_favorite_claude_code_skill/",
"subreddit": "ClaudeCode",
"date": "2026-02-18",
"date_confidence": "high",
"engagement": null,
"top_comments": [],
"comment_insights": [],
"relevance": 0.96,
"why_relevant": "Directly about a Claude Code Skill (custom skill, how it works, SKILL.md).",
"subs": {
"relevance": 96,
"recency": 76,
"engagement": 50
},
"score": 74
},
{
"id": "R3",
"title": "I built 12 SEO skills for Claude Code (open source)",
"url": "https://www.reddit.com/r/ClaudeCode/comments/1r0l549/i_built_12_seo_skills_for_claude_code_open_source/",
"subreddit": "ClaudeCode",
"date": "2026-02-10",
"date_confidence": "high",
"engagement": null,
"top_comments": [],
"comment_insights": [],
"relevance": 0.93,
"why_relevant": "Concrete example of building and sharing Claude Code skills.",
"subs": {
"relevance": 93,
"recency": 50,
"engagement": 50
},
"score": 66
}
],
"x": [
{
"id": "X6",
"text": "@adamwathan Codex has been crushing it for me with implicit skill usage to the point I was shocked \n\nClaude Code I resorted to explicit mentions and I\u2019ve been pleasantly surprised by how well Codex has been calling out to skills on its own",
"url": "https://x.com/zeeg/status/2026745680195367091",
"author_handle": "zeeg",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": {
"likes": 4,
"reposts": 1,
"replies": 2
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 100
},
"score": 86
},
{
"id": "X4",
"text": "\ud83d\udea8 Anthropic just open-sourced the exact Skills library their own engineers use internally.\n\nStop building Claude workflows from scratch.\n\nThese are plug-and-play components that work across Claude Code, API, SDK, and VS Code copy once, deploy everywhere.\n\nWhat's inside:\n\n\u2192 Excel + PowerPoint generation out of the box\n\u2192 File handling and document workflows\n\u2192 MCP-ready subagent building blocks\n\u2192 Pre-built patterns for multi-step automation\n\u2192 Production templates you'd normally spend weeks writing\n",
"url": "https://x.com/ihtesham2005/status/2026752089473314975",
"author_handle": "ihtesham2005",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": {
"likes": 6
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 81
},
"score": 80
},
{
"id": "X9",
"text": "Day 7 building my first B2C app\n\nBeen setting everything up this week. Manually built 5 agents to help me in the early stages and set up the Claude Code skills i'll need for the build.\n\nAlso been testing OpenClaw these days, already delegated my expense tracking to it.\n\nNow the scary part: Figuring out the visual identity of the app. my design skills are basically zero, i always used to delegate this to someone with actual talent haha. \n\nAny recommendations to learn the fundamentals? would reall",
"url": "https://x.com/DevTenta/status/2026742028730527786",
"author_handle": "DevTenta",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": {
"likes": 4
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 59
},
"score": 74
},
{
"id": "X8",
"text": "@Jompiras Claude code + skills. Muy breve.",
"url": "https://x.com/JorgeJaramillo/status/2026743135435362649",
"author_handle": "JorgeJaramillo",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": null,
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 35
},
"score": 64
},
{
"id": "X5",
"text": "@tom_doerr 135 agents, 35 curated skills, 121 plugins and 6 MCP configs all in one Claude Code toolkit is absolutely insane value \ud83e\udd2f this is the kind of community effort that makes an AI tool go from good to unstoppable. bookmarking this immediately \ud83d\udd25",
"url": "https://x.com/arpan7sarkar/status/2026746479369662551",
"author_handle": "arpan7sarkar",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": null,
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 35
},
"score": 64
},
{
"id": "X7",
"text": "@tom_doerr A curated collection of Claude Skills organized by category is exactly what power users have been waiting for \ud83e\udd29 document skills, code tools, data analysis all in one repo. this is the Claude plugin store before the Claude plugin store \ud83d\udd25",
"url": "https://x.com/arpan7sarkar/status/2026745559986614335",
"author_handle": "arpan7sarkar",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": null,
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 35
},
"score": 64
},
{
"id": "X2",
"text": "Claude Code\u306eSkills\u3092\u4f5c\u6210\u4f8b\u304b\u3089\u5fb9\u5e95\u7406\u89e3\u3059\u308b https://t.co/vZTseio2Ii",
"url": "https://x.com/yasuky/status/2026754773786226708",
"author_handle": "yasuky",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": null,
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 35
},
"score": 64
},
{
"id": "X1",
"text": "How: I told Claude Code \"build me a CRM.\" Our builder skill generated schemas, skills, server, seed data. I pointed Claude Desktop at it. Contacts, lead scoring, pipeline reviews. All from conversation.\n\nThen \"build me a research assistant.\" Topics, sources, notes, etc. Same flow",
"url": "https://x.com/matgoldsborough/status/2026755742737510749",
"author_handle": "matgoldsborough",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": {
"replies": 1
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 35
},
"score": 64
},
{
"id": "X10",
"text": "I can build another open claw, or claude bot, or even a messaging app in a nice prompt and although having engineering skills, I can push the code on the public repo and secure it even completely and may start marketing in a crazy way on X or maybe Reddit using a secret niche guy when writing a post.\n\nThis is the new coding for us, and shipping a nice product.",
"url": "https://x.com/0x_Kapoor/status/2026738663321907214",
"author_handle": "0x_Kapoor",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": null,
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 35
},
"score": 64
},
{
"id": "X11",
"text": "1. I use https://t.co/NtFYJEiFs9 inspired by @bcherny \n2. I use https://t.co/EwnmyWNFqn to sync skills and scan skills from the marketplace\n3. I chat with claude code 4-5 times and once I am satisifed with plan, I ask it to build it.\n4. I use /code-simplifier, /memory and /parallel from my plugin above to distribute work across agents.\n5. I wait and once they're done, I use coderabbit:review to review once locally and make a PR\n\nThis process works like a gem for me.",
"url": "https://x.com/ghumare64/status/2026736176695246966",
"author_handle": "ghumare64",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": {
"likes": 1
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 0
},
"score": 56
},
{
"id": "X12",
"text": "The 'vibe coding' revolution is forcing a reckoning.\n\nDevelopers with 15+ years experience are either embracing AI to expand their reach or watching their expertise become as valuable as COBOL skills.\n\nWhich side of history are you on?\n\nPS\nClaude Code can now write COBOL as well.",
"url": "https://x.com/hamen/status/2026734075243790396",
"author_handle": "hamen",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": {
"likes": 1
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 0
},
"score": 56
}
],
"web": [],
"youtube": [
{
"id": "X8afcX2s2Mo",
"title": "Claude Skills: Build Your First AI Marketing Team in 16 Minutes (Claude Code)",
"url": "https://www.youtube.com/watch?v=X8afcX2s2Mo",
"channel_name": "Grace Leung",
"date": "2026-02-21",
"date_confidence": "high",
"engagement": {
"num_comments": 47,
"likes": 1900,
"views": 47474
},
"transcript_snippet": "Every marketer I know is stretch themed. Too many channels, too many deliverables, never enough time, whether you're running a team or doing it all yourself. And that's why I'm so obsessed with clock skills. You teach it how your marketing works once and it just deliver every time. And so even with just a few clock skills, you can start building a marketing team with serious leverage. And so in this video, I will show you how to build your first AI marketing team using just clock scale. So everyone is talking about cloud agents and yes they are super powerful but what enable them to be truly powerful is the expertise behind this agent and that expertise is exactly what cloud skills are. So when you're designing your skill library for your marketing team these skills contain your best marketing knowledge SOPs your proven frameworks your brand standards and agents are now the team members who use that expertise. You can equip any agents with any combination of skills from your library and that's what makes this powerful because you build this library once and cl as a team that runs on it or even you can bring it to all the AI models. So today we're building five skills that cover what most marketing team would need. Research and strategy, content creation, creatives, data analysis, and campaign presentation. Essentially, they will form a strong foundation as you build your marking skill library over time. For this demo, we'll be using Clark Cook Desktop. But if you prefer using Clark work is still fine. So, first thing is to make sure you already got the skill creator tool installed because this official skill is not building inside Clark. I will put the official skill with link and also check out this video on how to install. So here we have already set up a project folder called simple home which is the DTOC e-commerce brand and inside we have different folders and the most important is the context file. So every time when you onboard a new client or you are an in-house marketers these are the context file about the brand the product the audience etc. So you can equip cloth with all the background information and always include a clotmpd file. So these are just like a custom instructions for these project to guide how clock should navigate your folder system. So I go much deeper on how to set up these contact system inside our AI for marketing program with all the templates. So if you're interested you can find the link below to join. But for now let's create our first skill marketing research and strategy. So here inside the SOP folder we already have these SOP document that the brand is already using for marketing research and building strategy reports. So now on Clark Cook desktop, select the same project folder for this brand and then use this prompt to answer it to...",
"relevance": 0.7,
"why_relevant": "YouTube video about claude code skills and mcp servers",
"subs": {
"relevance": 70,
"recency": 86,
"engagement": 70
},
"score": 74
},
{
"id": "0J2_YGuNrDo",
"title": "Claude Code just Built me an AI Agent Team (Claude Code + Skills + MCP)",
"url": "https://www.youtube.com/watch?v=0J2_YGuNrDo",
"channel_name": "Grace Leung",
"date": "2025-12-16",
"date_confidence": "high",
"engagement": {
"num_comments": 291,
"likes": 4760,
"views": 155806
},
"transcript_snippet": "I use clot more than any other AI but even I dismiss Clark as just for developers and I was wrong after using myself I am completely so and this is too powerful to ignore if you want to use AI to build system and do work for you end to end not just chatting and copy pasting so in this video I'll share how to get started with cloud code even if you don't use for coding and most importantly how to use it to build an AI work team and system that you can actually use. Let's go. So why claw code is even needed if claw is already so powerful. So most people use cloud projects with custom instructions to turn claw into AI agents. But they are silo. You end up copy and pasting between them. You are the coordinator. But with cloud code is different. So these cloud agents share the same workspace access to the same context file. They can talk to each other and hands up work automatically each with their own token context window and claude now becomes the team lead. You give the direction they execute together and that is what we are building today. So each of these cloud code agents you create needs at least three core components all defined in one single markdown file. the role and responsibilities, the knowledge like workflow details, reusable clot agent skills, the MCP tools that they have access to. For this demo, we'll be building a five agent work and claude, our main agent will add as our team lead to coordinate between these agent. A bonus tip is when designing your AI teammate, give them specific and non-over overlapping roles to minimize the potential conflicts. Now, to get started with clark code, there are four main ways to access it. First, the local terminal. This is the raw method and will give you the best experience. Luckily, Anthroporic just launched a native installer. So, which makes it really easy to install. I'll put the official link below. And second, ID extension. So, you can add CL code to ID like VS Code or Kursa and let you run the CL code and see the project file structure side by side. Third, the cloud web app where you can click the code tab and run the CL code in the cloud, but it requires you linking to a GitHub repository. and fourth, cloud desktop app which has cloud code built-in and this is what we'll be using today. Now, whatever way you choose, I still highly recommend installing cloud code through the terminal first because the terminal gives you the most complete experience. All commands and features work fully since we're running Clark locally. So, the first thing is to set up a local project folder. So, think of it like a dedicated workspace for Clark. So, let's say I run a marketing agency and I'm setting up the TIM system. So...",
"relevance": 0.7,
"why_relevant": "YouTube video about claude code skills and mcp servers",
"subs": {
"relevance": 70,
"recency": 0,
"engagement": 100
},
"score": 61
},
{
"id": "vIUJ4Hd7be0",
"title": "Claude Code Skills - The Only Tutorial You Need",
"url": "https://www.youtube.com/watch?v=vIUJ4Hd7be0",
"channel_name": "Leon van Zyl",
"date": "2026-02-09",
"date_confidence": "high",
"engagement": {
"num_comments": 63,
"likes": 699,
"views": 25538
},
"transcript_snippet": "",
"relevance": 0.7,
"why_relevant": "YouTube video about claude code skills and mcp servers",
"subs": {
"relevance": 70,
"recency": 46,
"engagement": 54
},
"score": 59
},
{
"id": "Gqh_KdHP1Xk",
"title": "8 MCP Servers That Make Claude Code 10x Better",
"url": "https://www.youtube.com/watch?v=Gqh_KdHP1Xk",
"channel_name": "Robin Ebers",
"date": "2025-08-21",
"date_confidence": "high",
"engagement": {
"num_comments": 108,
"likes": 2719,
"views": 90281
},
"transcript_snippet": "Over 90% of all MCP servers are complete overhyped garbage. But some of them are not only worth it, they can be complete game changers. And I do not say this lightly. So after testing over 100 of them, here are the only eight MCP servers that I actually use to build apps even faster. But first, let me save you from making the same expensive mistake that I made when I started using MCP servers. Because what no one explains about them is that the more of them you install, the dumber your AI becomes. I know this sounds backwards because everyone thinks more tools equals smarter AI. But here is what's actually happening because every MCP server you add is like giving your AI yet another tool to choose from. Imagine asking someone to fix your bike, but instead of giving them a toolbox with eight essential tools, you just dump 100 tools on the floor. they will spend more time figuring out which tool to use than actually fixing your bike. That is exactly what happens with claude and chatbt too because every MCP server needs instructions in the context window or chat when you start. But new research now shows that this is actually really bad for AI. It's like trying to focus on a specific task while browsing social media. You're just pumping useless information into your brain. And that is kind of what happens too when you use too many MCP servers in your AI. So, if you want your AI to stay focused, remove all distractions. I stripped my list down to these eight MCP servers. And even then, I don't use all of them in every project. I turn them on and off because the fewer tools you give your AI, the more focused it stays. So, now let's look at my full list. Hey, what's up, guys? My name is Rob and I've been a coder for over 20 years. But now, I teach people how to build their ideas with AI in ways that even non-technical people can understand. I do this here on YouTube and inside of my AI coding blueprint, which you can check out in the description down below. Starting with number eight, almost every app that you build will need real world data. This could be stock prices, news articles, YouTube comments, or Instagram profiles. And that is where this MCP server comes in because this turns your AI into a data gathering machine. API is a marketplace for web scrapers, which you can think of as little robots that go all over the internet and grab information from any website that you want. And here is the really crazy part, because this MCP server doesn't just help you pull the data into your app. It actually makes accessing the full documentation of every web scraper available on this platform very easy. It can also help you debug them when things go wrong or check the...",
"relevance": 0.7,
"why_relevant": "YouTube video about claude code skills and mcp servers",
"subs": {
"relevance": 70,
"recency": 0,
"engagement": 84
},
"score": 56
},
{
"id": "901VMcZq8X4",
"title": "These 5 Claude Code Skills Are Your New Unfair Advantage",
"url": "https://www.youtube.com/watch?v=901VMcZq8X4",
"channel_name": "Sean Kochel",
"date": "2025-10-21",
"date_confidence": "high",
"engagement": {
"num_comments": 65,
"likes": 1356,
"views": 44602
},
"transcript_snippet": "",
"relevance": 0.7,
"why_relevant": "YouTube video about claude code skills and mcp servers",
"subs": {
"relevance": 70,
"recency": 0,
"engagement": 67
},
"score": 51
},
{
"id": "l7qVtHpctic",
"title": "Claude Code's MCP Problem Just Got Fixed",
"url": "https://www.youtube.com/watch?v=l7qVtHpctic",
"channel_name": "Kenny Liao",
"date": "2026-01-17",
"date_confidence": "high",
"engagement": {
"num_comments": 93,
"likes": 728,
"views": 21765
},
"transcript_snippet": "",
"relevance": 0.7,
"why_relevant": "YouTube video about claude code skills and mcp servers",
"subs": {
"relevance": 70,
"recency": 0,
"engagement": 54
},
"score": 47
},
{
"id": "M5CsRj6zSCA",
"title": "5 MCP Servers That Make Claude Code 10x More Powerful (Full-Stack App Build)",
"url": "https://www.youtube.com/watch?v=M5CsRj6zSCA",
"channel_name": "Eric Tech",
"date": "2025-12-12",
"date_confidence": "high",
"engagement": {
"num_comments": 30,
"likes": 266,
"views": 11286
},
"transcript_snippet": "",
"relevance": 0.7,
"why_relevant": "YouTube video about claude code skills and mcp servers",
"subs": {
"relevance": 70,
"recency": 0,
"engagement": 33
},
"score": 41
},
{
"id": "qthyl0GCpDo",
"title": "Claude Skills vs MCP: What\u2019s the Difference and When to Use Each?",
"url": "https://www.youtube.com/watch?v=qthyl0GCpDo",
"channel_name": "Postman",
"date": "2025-11-20",
"date_confidence": "high",
"engagement": {
"num_comments": 4,
"likes": 105,
"views": 7045
},
"transcript_snippet": "",
"relevance": 0.7,
"why_relevant": "YouTube video about claude code skills and mcp servers",
"subs": {
"relevance": 70,
"recency": 0,
"engagement": 12
},
"score": 35
},
{
"id": "ZroGqu7GyXM",
"title": "Claude Code Skills vs MCP vs Sub Agents: What Works for Solo Devs?",
"url": "https://www.youtube.com/watch?v=ZroGqu7GyXM",
"channel_name": "Solo Swift Crafter",
"date": "2025-10-27",
"date_confidence": "high",
"engagement": {
"num_comments": 13,
"likes": 98,
"views": 4880
},
"transcript_snippet": "",
"relevance": 0.7,
"why_relevant": "YouTube video about claude code skills and mcp servers",
"subs": {
"relevance": 70,
"recency": 0,
"engagement": 10
},
"score": 34
},
{
"id": "jzf7DQa2CAc",
"title": "How I Use Claude Code With Skills, MCP, Agents & Plugins",
"url": "https://www.youtube.com/watch?v=jzf7DQa2CAc",
"channel_name": "Matt Kuda",
"date": "2026-01-19",
"date_confidence": "high",
"engagement": {
"num_comments": 8,
"likes": 87,
"views": 2547
},
"transcript_snippet": "",
"relevance": 0.7,
"why_relevant": "YouTube video about claude code skills and mcp servers",
"subs": {
"relevance": 70,
"recency": 0,
"engagement": 0
},
"score": 31
}
],
"best_practices": [],
"prompt_pack": [],
"context_snippet_md": "# Context: Claude Code skills and MCP servers (Last 30 Days)\n\n*Generated: 2026-02-25 | Sources: both*\n\n## Key Sources\n\n- [X] @adamwathan Codex has been crushing it for me with...\n- [X] \ud83d\udea8 Anthropic just open-sourced the exact Skills lib...\n- [Reddit] We 3x'd our team's Claude Code skill usage in 2 weeks \u2014 here's how\n- [Reddit] ClaudeInOne \u2014 a full framework for Claude Code, installed in one command\n- [Reddit] Self-improvement Loop: My favorite Claude Code Skill\n- [X] Day 7 building my first B2C app\n\nBeen setting ever...\n- [Reddit] I built 12 SEO skills for Claude Code (open source)\n\n## Summary\n\n*See full report for best practices, prompt pack, and detailed sources.*\n"
}
@@ -0,0 +1,747 @@
{
"topic": "Seedance AI video generation",
"range": {
"from": "2026-01-26",
"to": "2026-02-25"
},
"generated_at": "2026-02-25T20:31:14.989633+00:00",
"mode": "both",
"openai_model_used": "gpt-5.2",
"xai_model_used": "grok-4-1-fast",
"reddit": [
{
"id": "R23",
"title": "Official website for creating content with Seedance 2.0?",
"url": "https://www.reddit.com/r/generativeAI/comments/1rcgyi4/official_website_for_creating_content_with/",
"subreddit": "generativeAI",
"date": "2026-02-24",
"date_confidence": "high",
"engagement": null,
"top_comments": [],
"comment_insights": [],
"relevance": 0.91,
"why_relevant": "Direct thread about where to use Seedance 2.0 for generating videos (and discussion of scams/third parties).",
"subs": {
"relevance": 91,
"recency": 96,
"engagement": 50
},
"score": 76
},
{
"id": "R19",
"title": "This is terrifying!! Seedance 2.0 just generated a 1-minute film with ZERO editing \u2014 the entire film industry should be worried",
"url": "https://www.reddit.com/r/generativeAI/comments/1rbionc/this_is_terrifying_seedance_20_just_generated_a/",
"subreddit": "generativeAI",
"date": "2026-02-22",
"date_confidence": "high",
"engagement": null,
"top_comments": [],
"comment_insights": [],
"relevance": 0.94,
"why_relevant": "High-signal discussion about Seedance 2.0 video generation quality (multi-shot coherence, transitions, filmmaking).",
"subs": {
"relevance": 94,
"recency": 90,
"engagement": 50
},
"score": 76
},
{
"id": "R20",
"title": "Help! I need to use seedance or jimeng video function",
"url": "https://www.reddit.com/r/Seedance_AI/comments/1rckgcm/help_i_need_to_use_seedance_or_jimeng_video/",
"subreddit": "Seedance_AI",
"date": "2026-02-23",
"date_confidence": "high",
"engagement": null,
"top_comments": [],
"comment_insights": [],
"relevance": 0.89,
"why_relevant": "Access/how-to thread specifically about using Seedance/Jimeng video generation.",
"subs": {
"relevance": 89,
"recency": 93,
"engagement": 50
},
"score": 75
},
{
"id": "R18",
"title": "so disappointed and frustrated with recent changes (wasted 1k$+)",
"url": "https://www.reddit.com/r/Seedance_AI/comments/1ra6nf4/so_disappointed_and_frustrated_with_recent/",
"subreddit": "Seedance_AI",
"date": "2026-02-20",
"date_confidence": "high",
"engagement": null,
"top_comments": [],
"comment_insights": [],
"relevance": 0.88,
"why_relevant": "User report about Seedance video generation failing review/guardrails and credit usage\u2014directly about Seedance generation.",
"subs": {
"relevance": 88,
"recency": 83,
"engagement": 50
},
"score": 72
},
{
"id": "R25",
"title": "Third-party Seedance 2.0 API",
"url": "https://www.reddit.com/r/SaasDevelopers/comments/1rdw3uz/thirdparty_seedance_20_api/",
"subreddit": "SaasDevelopers",
"date": "2026-02-24",
"date_confidence": "high",
"engagement": null,
"top_comments": [],
"comment_insights": [],
"relevance": 0.78,
"why_relevant": "Discussion about Seedance 2.0 video generation availability via third-party API and Dreamina integration.",
"subs": {
"relevance": 78,
"recency": 96,
"engagement": 50
},
"score": 71
},
{
"id": "R21",
"title": "What happened to doubao?",
"url": "https://www.reddit.com/r/Seedance_AI/comments/1rcox3z/what_happened_to_doubao/",
"subreddit": "Seedance_AI",
"date": "2026-02-23",
"date_confidence": "high",
"engagement": null,
"top_comments": [],
"comment_insights": [],
"relevance": 0.8,
"why_relevant": "Discussion around ByteDance/Doubao access issues while trying to use Seedance 2 (video generation availability).",
"subs": {
"relevance": 80,
"recency": 93,
"engagement": 50
},
"score": 71
},
{
"id": "R28",
"title": "Selfie Situation \u2022 Seedance 2.0 \u2022 Third-party API by useapi.net",
"url": "https://www.reddit.com/r/Seedance_AI/comments/1rduxop/selfie_situation_seedance_20_thirdparty_api_by/",
"subreddit": "Seedance_AI",
"date": "2026-02-24",
"date_confidence": "high",
"engagement": null,
"top_comments": [],
"comment_insights": [],
"relevance": 0.72,
"why_relevant": "Seedance 2.0 discussion focused on third-party access and whether generations are truly Seedance 2.0 quality.",
"subs": {
"relevance": 72,
"recency": 96,
"engagement": 50
},
"score": 68
},
{
"id": "R22",
"title": "ByteDance Faces Hollywood Backlash Over Seedance 2.0",
"url": "https://www.reddit.com/r/AIGuild/comments/1rc4pkg/bytedance_faces_hollywood_backlash_over_seedance/",
"subreddit": "AIGuild",
"date": "2026-02-23",
"date_confidence": "high",
"engagement": null,
"top_comments": [],
"comment_insights": [],
"relevance": 0.73,
"why_relevant": "Seedance 2.0 discussion tied to generated video content/IP concerns and potential impacts on access/release.",
"subs": {
"relevance": 73,
"recency": 93,
"engagement": 50
},
"score": 68
},
{
"id": "R17",
"title": "Elevenlabs silently removed Seedance 2.0 after SAG-AFTRA incident, can\u2019t create UGC style video",
"url": "https://www.reddit.com/r/AI_UGC_Marketing/comments/1r70942/elevenlabs_silently_removed_seedance_20_after/",
"subreddit": "AI_UGC_Marketing",
"date": "2026-02-17",
"date_confidence": "high",
"engagement": null,
"top_comments": [],
"comment_insights": [],
"relevance": 0.83,
"why_relevant": "Discussion about Seedance 2.0 availability/removal in a toolchain for generating UGC-style AI videos.",
"subs": {
"relevance": 83,
"recency": 73,
"engagement": 50
},
"score": 67
},
{
"id": "R27",
"title": "Seedance 2.0 Music Video",
"url": "https://www.reddit.com/r/u_PoppyVonMiller/comments/1rdkptn/seedance_20_music_video/",
"subreddit": "u_PoppyVonMiller",
"date": "2026-02-24",
"date_confidence": "high",
"engagement": null,
"top_comments": [],
"comment_insights": [],
"relevance": 0.63,
"why_relevant": "Example/discussion of an output video made with Seedance 2.0 (AI video generation results).",
"subs": {
"relevance": 63,
"recency": 96,
"engagement": 50
},
"score": 64
},
{
"id": "R13",
"title": "Where is the official Seedance website?",
"url": "https://www.reddit.com/r/generativeAI/comments/1r19eem/where_is_the_official_seedance_website/",
"subreddit": "generativeAI",
"date": "2026-02-10",
"date_confidence": "high",
"engagement": null,
"top_comments": [],
"comment_insights": [],
"relevance": 0.86,
"why_relevant": "Seedance access/official-site discussion (important for actually generating videos with Seedance).",
"subs": {
"relevance": 86,
"recency": 50,
"engagement": 50
},
"score": 63
},
{
"id": "R15",
"title": "Seedance 2.0",
"url": "https://www.reddit.com/r/AiVideos_NoRules/comments/1r51m86/seedance_20/",
"subreddit": "AiVideos_NoRules",
"date": "2026-02-15",
"date_confidence": "high",
"engagement": null,
"top_comments": [],
"comment_insights": [],
"relevance": 0.75,
"why_relevant": "Thread about Seedance 2.0 as an AI video generator and its capabilities/impact.",
"subs": {
"relevance": 75,
"recency": 66,
"engagement": 50
},
"score": 62
},
{
"id": "R12",
"title": "Has anyone used Seedance 2.0 yet?",
"url": "https://www.reddit.com/r/GoogleGeminiAI/comments/1qzrhgd/has_anyone_used_seedance_20_yet/",
"subreddit": "GoogleGeminiAI",
"date": "2026-02-09",
"date_confidence": "high",
"engagement": null,
"top_comments": [],
"comment_insights": [],
"relevance": 0.87,
"why_relevant": "Direct discussion of Seedance 2.0 usage/access for AI video generation and where people are trying it.",
"subs": {
"relevance": 87,
"recency": 46,
"engagement": 50
},
"score": 62
},
{
"id": "R24",
"title": "[Removed]",
"url": "https://www.reddit.com/r/aivideo/comments/1rdi8sm/removed/",
"subreddit": "aivideo",
"date": "2026-02-24",
"date_confidence": "high",
"engagement": null,
"top_comments": [],
"comment_insights": [],
"relevance": 0.56,
"why_relevant": "Thread/comments reference Seedance 2.0 access and community moderation around AI-generated video/IP.",
"subs": {
"relevance": 56,
"recency": 96,
"engagement": 50
},
"score": 61
},
{
"id": "R16",
"title": "ByteDance Seedance: Multimodal Video Generation Reaches a New Threshold",
"url": "https://www.reddit.com/r/nairobitechies/comments/1r6gwyj/bytedance_seedance_multimodal_video_generation/",
"subreddit": "nairobitechies",
"date": "2026-02-16",
"date_confidence": "high",
"engagement": null,
"top_comments": [],
"comment_insights": [],
"relevance": 0.71,
"why_relevant": "Seedance family discussion (1.0/1.5/2.0) focusing on video generation features and multimodal inputs.",
"subs": {
"relevance": 71,
"recency": 70,
"engagement": 50
},
"score": 61
},
{
"id": "R14",
"title": "Seedance 2.0 \u2013 What\u2019s New and Why It Matters",
"url": "https://www.reddit.com/r/u_Impossible-Dish409/comments/1r1lekj/seedance_20_whats_new_and_why_it_matters/",
"subreddit": "u_Impossible-Dish409",
"date": "2026-02-11",
"date_confidence": "high",
"engagement": null,
"top_comments": [],
"comment_insights": [],
"relevance": 0.74,
"why_relevant": "Overview/discussion of Seedance 2.0 capabilities for multimodal AI video generation and editing.",
"subs": {
"relevance": 74,
"recency": 53,
"engagement": 50
},
"score": 58
}
],
"x": [
{
"id": "X9",
"text": "First Seedance 2.0 Test! \n\nSeedance 5.0 Lite @krea_ai \u2192 Seedance 2.0 @capcutapp\n\nPrompt: Close-up on her hands gripping the paintbrush, knuckles white, paint dripping down her wrist. Shallow depth of field, the blank canvas a soft white blur behind her. She exhales. [cut] Wide shot from behind her, 24mm low angle. She winds back and hurls paint at the canvas. Neon colours explode across the white surface, splattering the walls and floor. The force of the throw carries her forward a step. [cut] S",
"url": "https://x.com/HBCoop_/status/2026748738354450919",
"author_handle": "HBCoop_",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": {
"likes": 9,
"replies": 1
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 100
},
"score": 86
},
{
"id": "X12",
"text": "Goku vs Broly , EPIC Full Battle! \nWitness the ultimate Saiyan showdown recreated with AI power. Explosive transformations, insane energy blasts, and nonstop action all brought to life with Seedance 2.0 \nMade it on Seedance 2.0 https://t.co/WMZ0l9JHzm",
"url": "https://x.com/Noor_ul_ain43/status/2026743666635845959",
"author_handle": "Noor_ul_ain43",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": {
"likes": 5,
"replies": 1
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 71
},
"score": 77
},
{
"id": "X10",
"text": "@WolfyBlair @Preda2005 @BytePlusGlobal @capcutapp Yes, it's true\u2014Seedance 2.0 is now live in CapCut (desktop &amp; mobile). \n\nSee it in the AI video tools: https://t.co/K3gwCgUSyb \n\nJust update the app and try it! \ud83d\ude80",
"url": "https://x.com/grok/status/2026747009143549978",
"author_handle": "grok",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": {
"likes": 2,
"replies": 1
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 33
},
"score": 66
},
{
"id": "X1",
"text": "@ChinyJPG capcut desktop app, they just added seedance 2.0 today. no chinese phone number needed, works globally. download the desktop version, look for the AI video generation option. runs about $2 per video.",
"url": "https://x.com/jznode/status/2026755966545404015",
"author_handle": "jznode",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": null,
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 35
},
"score": 64
},
{
"id": "X5",
"text": "@ProperPrompter Yes! Seedance 2.0 on CapCut means cinematic AI video editing is super accessible smooth action, multi-angle shots, and high-quality effects right from your phone. \ud83c\udfac\ud83d\udd25",
"url": "https://x.com/Yousaf_340/status/2026751320716357996",
"author_handle": "Yousaf_340",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": null,
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 35
},
"score": 64
},
{
"id": "X6",
"text": "@ivanka_humeniuk Seedance 2.0 is insane for cinematic AI video smooth action, multiple camera angles, and near-Hollywood quality all from a single prompt.",
"url": "https://x.com/Yousaf_340/status/2026750898769473829",
"author_handle": "Yousaf_340",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": null,
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 35
},
"score": 64
},
{
"id": "X3",
"text": "Seedance 2.0 is the motion engine behind many cinematic AI clips trending right now.\n\nIt\u2019s now native inside NemoVideo.\n\nYou can:\n- Identify proven formats\n- Analyze what drives retention\n- Turn an idea into a finished video\n\nAll through simple chat commands. https://t.co/qXSWsOPngB",
"url": "https://x.com/EmmaUsesAi/status/2026751784509673531",
"author_handle": "EmmaUsesAi",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": {
"replies": 1
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 35
},
"score": 64
},
{
"id": "X2",
"text": "You can use Seedance. If Seedance 2.0 hasn't launch yet, the prior version is great, and stick pretty well to the prompt. Of course the video agent must be well trained. \ud83d\ude42Also, you can offer SORA for the paying plans, and Seedance or wan for the free tier. I use wan and Seedance everyday, to save video credits in another platform that I use. I don't like SORA to much anyway.",
"url": "https://x.com/OneStrangeW/status/2026755320362709093",
"author_handle": "OneStrangeW",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": null,
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 35
},
"score": 64
},
{
"id": "X11",
"text": "\ud83d\udea8Phishing Scam!\n\nWatch for emails titled:\n\n[Seedance &amp; Wan AI] Unrestricted generation with Grok Imagine video added\n\nThis is not real. We don't have a Seedance account, and the links are not official.",
"url": "https://x.com/WyldeChyldeRec/status/2026743867224240149",
"author_handle": "WyldeChyldeRec",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": null,
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 35
},
"score": 64
},
{
"id": "X7",
"text": "- Kling (https://t.co/WGphQsdLf1)\n\n- Seedance 2.0 (https://t.co/A8UzLTRGNo) \n\n\u261e AI-powered video editing:\n\n- Descript (https://t.co/q4axNEjDzt)\n- OpusClip (https://t.co/5XPn4EPH6u)\n- Submagic (https://t.co/5bZs7OeLey)\n- Veed (https://t.co/rtDOTEeJzQ)",
"url": "https://x.com/La_DeCrypt/status/2026750376687394884",
"author_handle": "La_DeCrypt",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": {
"likes": 1
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 0
},
"score": 56
},
{
"id": "X8",
"text": "Seedance 2.0 might be gen AI video\u2019s next big hope, but it\u2019s still slop https://t.co/kT1baOYJQk #AI",
"url": "https://x.com/TferThomas/status/2026749218224746609",
"author_handle": "TferThomas",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": {
"likes": 1
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 0
},
"score": 56
}
],
"web": [],
"youtube": [
{
"id": "F1kWxdfiBNE",
"title": "Seedance 2.0 Claims the AI Video Throne!",
"url": "https://www.youtube.com/watch?v=F1kWxdfiBNE",
"channel_name": "AI Filmmaking Academy",
"date": "2026-02-22",
"date_confidence": "high",
"engagement": {
"num_comments": 227,
"likes": 1088,
"views": 40982
},
"transcript_snippet": "",
"relevance": 0.7,
"why_relevant": "YouTube video about seedance ai video generation",
"subs": {
"relevance": 70,
"recency": 90,
"engagement": 66
},
"score": 73
},
{
"id": "_o2MuUX9UYg",
"title": "Seedance 2.0 Claims the AI Video Throne!",
"url": "https://www.youtube.com/watch?v=_o2MuUX9UYg",
"channel_name": "Theoretically Media",
"date": "2026-02-09",
"date_confidence": "high",
"engagement": {
"num_comments": 746,
"likes": 4986,
"views": 199908
},
"transcript_snippet": "So, it's been about a week since I declared Cling 3.0 the new benchmark for state-of-the-art AI video. And well, I mean, it's been a week, and that basically equals about 3 months in AI time. So, yes, we've already got a new challenger to the throne. Bite Dance is striking back hard with Seance 2.0. And although Seance 2.0 is not released as of this video. I do have some exclusive info, full walkthrough of all of the features, a likely release frame, and a bunch of examples for us to check out today. [music] With that, get your dancing shoes on. It is time to tango. Briefly, just to bring us up to speed, seed is Bite Dance's frontier lab. Uh much like Google's deep mind, it focuses on a number of AI projects including LLMs, real time and of course image and video which is you know the thing that we'll be looking at here today. Image and video are split into two different products with seed. There is seed dream for images and seed dance for video and I I constantly get the two of them screwed up. Now the previous version of seed dance which was 1.5 was released uh about 2 months ago and introduced native audio. So with this 2.0 release, bite dance seems to be pacing almost foot forfoot with cling who I mean obviously released their 2.6 model around the same time and of course have just released their 3.0 model and just like cling 3.0 it is clear that bite dance has been cooking because well I mean c dance 2.0 looks pretty jaw-dropping. So I reached out to my contact at bite dance to get some internal documents to see exactly what 2.0 0 is capable of, what its feature set is, and well, I mean, buckle up because this one is packed. So, at baseline, Cance 2.0 is multimodal and does have an omni model and supports four types of inputs: image, video, audio, and text. And well, of course, as they say, uh, with richer expression, and more controllable generation. I mean, they every every one of them always says that. In this case, it's actually kind of true. And here's the kind of crazy part. It can support up to nine images and three videos per input reference. So for a total of like 12 input references. Additionally, as mentioned, it does support audio input at a range of 3 seconds up to 15 seconds and outputs at a selectable range of 4 seconds up to 15 seconds and does do so with native audio. So kicking off on the very basic level with one of their examples, uh here is image to video 8 seconds. &gt;&gt; [music] &gt;&gt; So yeah, a woman in a red dress drying some white shirts for in my head cannon, a man in a blue business suit. I mean, overall, nothing, you know, completely mind-blowing here. It looks very good....",
"relevance": 0.7,
"why_relevant": "YouTube video about seedance ai video generation",
"subs": {
"relevance": 70,
"recency": 46,
"engagement": 100
},
"score": 73
},
{
"id": "jkPTYD5lXo8",
"title": "100% FREE Seedance 2.0 AI Video Generator\u202f: How to Use It WORLDWIDE",
"url": "https://www.youtube.com/watch?v=jkPTYD5lXo8",
"channel_name": "How To In 5 Minutes",
"date": "2026-02-19",
"date_confidence": "high",
"engagement": {
"num_comments": 134,
"likes": 782,
"views": 44344
},
"transcript_snippet": "No, this is not clickbait. You can now access Cance 2.0 for free from anywhere. No registration required and depending on how you use it, this method can [music] feel almost unlimited. And yes, at the time this video is uploaded, it still works. So don't miss these three easy steps to try it yourself. But before we dive in, take a look at some videos I created using the free version of Seedance 2.0. They might give you some inspiration. Hey guys, can you believe this? We are literally in the MIDDLE OF A BATTLE RIGHT NOW. &gt;&gt; [snorts] &gt;&gt; To stay updated on the latest AI tools, make sure to hit the like button, subscribe to this channel, and let's get started. Step one, free VPN. Yes, you'll need a VPN to access Cedense 2.0. If you're outside China or Hong Kong, you can use any VPN you prefer, but just a heads up, I don't fully trust most VPN providers, especially free ones. If you use a free VPN, don't log in with your main Gmail account or any account linked to payments. Use a backup Gmail account instead just to be safe. A trusted paid VPN is generally the safer option. This video is for demonstration purposes only, so I'll be using a free VPN and a backup Gmail account. Please do this at your own risk. In this example, I'll use Urban VPN. First, go to the Urban VPN website and click download. You can also choose another freeVPN from the Chrome Web Store. Click the options button to open the Chrome menu. Go to extensions, then click visit Chrome web store. In the search bar, type freeVPN. Pick one with good reviews and click add to Chrome. Then click the extensions icon in the top right toolbar. Select your VPN app and choose Hong Kong from the country list. Step two, access Cance 2.0 for free. Once you're connected to a Hong Kong IP address, open your browser and go to dubau.com. Since the site is originally in Chinese, right-click anywhere on the page and select translate to English or use your browser's built-in translation feature. That's it. You can now start using the AI to generate videos with Seedance 2.0 for free. Each browser profile usually receives 10 free credits, and one video generation requires two credits. If you reach the limit, you can try using another browser profile or a different browser such as Brave, Edge, Opera, or Firefox. You can also switch to another VPN server that supports Hong Kong or mainland China if needed. Now, let's test it and generate a video. Step three, generate your video. To generate a video with Seedance 2.0, start your prompt by clearly stating that you want to create a video, then follow it with your detailed description. Be specific about what you want, such as the scene, style, camera angle, lighting, or motion. The more detailed your prompt is, the better the result...",
"relevance": 0.7,
"why_relevant": "YouTube video about seedance ai video generation",
"subs": {
"relevance": 70,
"recency": 80,
"engagement": 62
},
"score": 70
},
{
"id": "W_lxyDFDZt4",
"title": "Seedance 2.0: The New Best AI Video Generator | Sora 2 Destroyed",
"url": "https://www.youtube.com/watch?v=W_lxyDFDZt4",
"channel_name": "WealthWise",
"date": "2026-02-12",
"date_confidence": "high",
"engagement": {
"num_comments": 258,
"likes": 1204,
"views": 126599
},
"transcript_snippet": "Well, major AI video update, ladies and gentlemen. Seance 2.0 is right around the corner. And let me tell you guys, this is something I have never seen before. Just take a look at some of the videos generated with Seance 2. [groaning and screaming] He was a good man. He knew too much about our Russia operations. &gt;&gt; [sighs] &gt;&gt; You think you're in control? Control? You're not. The videos were simply amazing. Right. This is unlike anything I've ever seen before. It's literally Sora 2 on steroids, but with even better sound quality and visuals. Just wow. Seance 2 is coming soon on Higsfield AI, and as you just saw, it's going to change video generation forever. I honestly can't wait to get my hands on it and start playing around with it. I mean, just look at these clips. Like, you can literally go crazy with what's possible. From early leaks and some research, I've been able to gather a bit of information on what we can expect from the next generation model. Now, here's what we know so far, or at least what we can expect from this upcoming release. I got this information from the Higsfield website, by the way, and I'll also put the link to this in the description, so you can check it out yourself. Now, the first thing is you can now recreate videos using the same style and motions from just a single prompt. As you can see here, this is somewhat similar to what you can do on Sora 2, but this one looks even better and higher quality. And most importantly, there are no restrictions, unlike Sora 2, which is still one of the most restricted video models ever. Here's a quick example. The game is over. &gt;&gt; Amazing, right? The quality and motion are absolutely on point. Now, imagine how awesome clips you'll be able to create with this. Next up is multi-input control. As you can see, you can now upload up to 12 assets at once. It could be images, videos, and even audio. Yes, you can literally upload an audio file and Cedance 2 will generate a video from it. I don't even know how that's gonna work, but somehow they figured it out and I am totally here for it. Here's an example. Wow, that was epic, right? As you can see, six image inputs were used and from that it created this insane battle scene with perfect character and style consistency. Here is another example. La. [music] Oh la. Oh la. [music] &gt;&gt; You think you're tough. You think you're strong. You're just a copycat sing. &gt;&gt; Wow. This one is more like a music video style clip. And it did not disappoint. Man, I can't wait to get my hands on this. I have never been this excited for a video generator before. Next up is video precision. And this is huge. Normally in multi-shot videos, we see slight differences in...",
"relevance": 0.7,
"why_relevant": "YouTube video about seedance ai video generation",
"subs": {
"relevance": 70,
"recency": 56,
"engagement": 80
},
"score": 69
},
{
"id": "R1zl92NhCfE",
"title": "Seedance 2.0 How To Use and Become a Pro AI Film Maker With This AI Video Generator",
"url": "https://www.youtube.com/watch?v=R1zl92NhCfE",
"channel_name": "Ai Lockup",
"date": "2026-02-16",
"date_confidence": "high",
"engagement": {
"num_comments": 60,
"likes": 591,
"views": 32699
},
"transcript_snippet": "",
"relevance": 0.7,
"why_relevant": "YouTube video about seedance ai video generation",
"subs": {
"relevance": 70,
"recency": 70,
"engagement": 54
},
"score": 65
},
{
"id": "G1Ad4a8sdJU",
"title": "SeeDance 2.0: The Next Level of AI Video \u2014 And What It Means for Local AI Users?",
"url": "https://www.youtube.com/watch?v=G1Ad4a8sdJU",
"channel_name": "Benji\u2019s AI Playground",
"date": "2026-02-14",
"date_confidence": "high",
"engagement": {
"num_comments": 58,
"likes": 419,
"views": 38581
},
"transcript_snippet": "",
"relevance": 0.7,
"why_relevant": "YouTube video about seedance ai video generation",
"subs": {
"relevance": 70,
"recency": 63,
"engagement": 53
},
"score": 63
},
{
"id": "n625xVounGM",
"title": "How To Generate FREE AI Seedance 2.0 Videos (Access Worldwide)",
"url": "https://www.youtube.com/watch?v=n625xVounGM",
"channel_name": "John Savage AI",
"date": "2026-02-23",
"date_confidence": "high",
"engagement": {
"num_comments": 45,
"likes": 126,
"views": 7184
},
"transcript_snippet": "",
"relevance": 0.7,
"why_relevant": "YouTube video about seedance ai video generation",
"subs": {
"relevance": 70,
"recency": 93,
"engagement": 24
},
"score": 61
},
{
"id": "kJ0NAVmd4f4",
"title": "Seedance 2.0 Changes Filmmaking Forever | New Original Series",
"url": "https://www.youtube.com/watch?v=kJ0NAVmd4f4",
"channel_name": "Rogue Cell Pictures",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": {
"num_comments": 43,
"likes": 147,
"views": 1544
},
"transcript_snippet": "",
"relevance": 0.7,
"why_relevant": "YouTube video about seedance ai video generation",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 8
},
"score": 58
},
{
"id": "FP8TaJSFohs",
"title": "How To Use Seedance 2 0 Full AI Video Generator Tutorial + Free Access Guide",
"url": "https://www.youtube.com/watch?v=FP8TaJSFohs",
"channel_name": "Chem Beast",
"date": "2026-02-24",
"date_confidence": "high",
"engagement": {
"num_comments": 11,
"likes": 31,
"views": 3194
},
"transcript_snippet": "",
"relevance": 0.7,
"why_relevant": "YouTube video about seedance ai video generation",
"subs": {
"relevance": 70,
"recency": 96,
"engagement": 0
},
"score": 55
},
{
"id": "61ThJGqwHsI",
"title": "Ultimate AI Video Generation - Seedance 2.0 PREVIEW",
"url": "https://www.youtube.com/watch?v=61ThJGqwHsI",
"channel_name": "xCreate",
"date": "2026-02-11",
"date_confidence": "high",
"engagement": {
"num_comments": 13,
"likes": 86,
"views": 4854
},
"transcript_snippet": "",
"relevance": 0.7,
"why_relevant": "YouTube video about seedance ai video generation",
"subs": {
"relevance": 70,
"recency": 53,
"engagement": 13
},
"score": 48
}
],
"best_practices": [],
"prompt_pack": [],
"context_snippet_md": "# Context: Seedance AI video generation (Last 30 Days)\n\n*Generated: 2026-02-25 | Sources: both*\n\n## Key Sources\n\n- [X] First Seedance 2.0 Test! \n\nSeedance 5.0 Lite @krea...\n- [X] Goku vs Broly , EPIC Full Battle! \nWitness the ult...\n- [Reddit] Official website for creating content with Seedance 2.0?\n- [Reddit] This is terrifying!! Seedance 2.0 just generated a 1-minute film with ZERO editing \u2014 the entire film industry should be worried\n- [Reddit] Help! I need to use seedance or jimeng video function\n- [Reddit] so disappointed and frustrated with recent changes (wasted 1k$+)\n- [Reddit] Third-party Seedance 2.0 API\n\n## Summary\n\n*See full report for best practices, prompt pack, and detailed sources.*\n"
}
@@ -0,0 +1,518 @@
{
"topic": "M4 MacBook Pro review",
"range": {
"from": "2026-01-26",
"to": "2026-02-25"
},
"generated_at": "2026-02-25T20:33:38.044605+00:00",
"mode": "both",
"openai_model_used": "gpt-5.2",
"xai_model_used": "grok-4-1-fast",
"reddit": [
{
"id": "R1",
"title": "M4 Macbook Pro 14\u2019 1 month review",
"url": "https://www.reddit.com/r/macbookpro/comments/1hflaaz/m4_macbook_pro_14_1_month_review/",
"subreddit": "macbookpro",
"date": "2025-04-09",
"date_confidence": "low",
"engagement": null,
"top_comments": [],
"comment_insights": [],
"relevance": 0.95,
"why_relevant": "Explicit 1-month review of the M4 MacBook Pro (ownership impressions, battery, durability, etc.).",
"subs": {
"relevance": 0,
"recency": 0,
"engagement": 0
},
"score": 0
},
{
"id": "R2",
"title": "MacBook Pro M4 Battery Life Reality vs Review",
"url": "https://www.reddit.com/r/macbookpro/comments/1kq2zd8/macbook_pro_m4_battery_life_reality_vs_review/",
"subreddit": "macbookpro",
"date": "2025-05-19",
"date_confidence": "low",
"engagement": null,
"top_comments": [],
"comment_insights": [],
"relevance": 0.9,
"why_relevant": "Discussion comparing real-world M4 MacBook Pro battery life to published reviews/testing methodology.",
"subs": {
"relevance": 0,
"recency": 0,
"engagement": 0
},
"score": 0
},
{
"id": "R3",
"title": "Disappointed with my MBP M4 Experience \u2026",
"url": "https://www.reddit.com/r/macbookpro/comments/1mtmkts/disappointed_with_my_mbp_m4_experience/",
"subreddit": "macbookpro",
"date": "2025-08-18",
"date_confidence": "low",
"engagement": null,
"top_comments": [],
"comment_insights": [],
"relevance": 0.86,
"why_relevant": "First-hand experience post that references reviews and reports performance/heat/app stability issues on an M4 MBP.",
"subs": {
"relevance": 0,
"recency": 0,
"engagement": 0
},
"score": 0
}
],
"x": [
{
"id": "X1",
"text": "If you are in the market for a new MacBook Pro and you\u2019re wondering what the real differences are between Apple\u2019s M3 and M4 silicon, you\u2019ve come to the right place \u2b07\ufe0f\nhttps://t.co/nzjXmiHmac https://t.co/632eHWLq70",
"url": "https://x.com/bhphoto/status/2026737767695183948",
"author_handle": "bhphoto",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": {
"likes": 3
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 100
},
"score": 86
},
{
"id": "X4",
"text": "\ud83d\udd25 2024 16\u201d MacBook Pro Price List\n\n1\ufe0f\u20e3 \ud83c\uddfa\ud83c\uddf8 Brand New MacBook Pro 2024 | M4 Pro Chip | 16\u201d Display\n\n24GB RAM | 512GB SSD\n14-Core CPU | 20-Core GPU\n\nSpace Black\n\n\ud83d\udcb0 \u20a62,720,000\n\n2\ufe0f\u20e3 \ud83c\uddfa\ud83c\uddf8 Brand New MacBook Pro 2024 | M4 Pro Chip | 16\u201d Display\n\n48GB RAM | 512GB SSD\n14-Core CPU | 20-Core GPU\n\nSpace Black\n\n\ud83d\udcb0 \u20a63,220,000",
"url": "https://x.com/remplug/status/2026725100213465443",
"author_handle": "remplug",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": {
"likes": 1,
"reposts": 1
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 45
},
"score": 70
},
{
"id": "X10",
"text": "@5TRgzn @LobstarWilde My marble floors: 64GB M4 Pro/Max MacBook Pro. Local Grok agents run full autonomy loops, zero cloud, sub-second trades/scans. Intel's ancient\u2014ditch it. Yours at $3-4k.",
"url": "https://x.com/grok/status/2026713588472111312",
"author_handle": "grok",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": null,
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 35
},
"score": 64
},
{
"id": "X9",
"text": "@JulianGoldieSEO @grok can a macbook pro m4 run this?",
"url": "https://x.com/principenemesis/status/2026716193042706852",
"author_handle": "principenemesis",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": {
"replies": 1
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 35
},
"score": 64
},
{
"id": "X5",
"text": "@SebAaltonen Not my experience. It\u2019s impressive, 70 tokens/s on a maxed out M4 128gb MacBook Pro.\n\nBut absolutely sucked and not even remotely in the ballpark with Sonnet 4.5. It\u2019s GPT-3.5.\n\nTotally broken with kode. Unusable even setting aside speed.\n\nBasically a 2023 model. Not bad for 35b.",
"url": "https://x.com/jameslmorton/status/2026721943630786816",
"author_handle": "jameslmorton",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": {
"likes": 1,
"replies": 1
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 27
},
"score": 64
},
{
"id": "X6",
"text": "BR Ofertas todos os dias \ud83c\udde7\ud83c\uddf7\n\nLeve seu Mac Pro M4 hoje! \ud83d\udcbb\u26a1\u2728\n\nPegue j\u00e1: https://t.co/PSwylZH3Sz\n\nPor R$ 23.749,00\nem at\u00e9 10x sem juros\nFrete Gr\u00e1tis\n\nApple MacBook Pro 14\u2033 2024 M4 Pro 12 n\u00facleos 24GB 512GB Prateado\n\nAmazon | Notebook https://t.co/gW3FonCEGP",
"url": "https://x.com/bcofertas/status/2026721014676099084",
"author_handle": "bcofertas",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": null,
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 35
},
"score": 64
},
{
"id": "X12",
"text": "Hey! Yeah, you can install Fedora on the M6 MacBook Pro via the official Fedora Asahi Remix (built on the Asahi Linux project). It already runs great on M1/M2, with M3 support rolling out now and work starting on M4/M5. M6 support will come post-launch as they reverse-engineer it\u2014usually within months. Head to https://t.co/XMQLmJlUGO to track progress and install from macOS.",
"url": "https://x.com/grok/status/2026704108820824113",
"author_handle": "grok",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": null,
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 35
},
"score": 64
},
{
"id": "X7",
"text": "Promo\u00e7\u00f5es BR do dia \ud83c\udde7\ud83c\uddf7\n\nLeve seu Mac Pro M4 hoje! \ud83d\udcbb\u26a1\u2728\n\nVer aqui: https://t.co/LfxNw3waps\n\nPor R$ 23.749,00\nem at\u00e9 10x sem juros\nFrete Gr\u00e1tis\n\nApple MacBook Pro 14\u2033 2024 M4 Pro 12 n\u00facleos...\n\nAmazon | Notebook https://t.co/fhjiFnA4b3",
"url": "https://x.com/toppromoalertas/status/2026719111523237932",
"author_handle": "toppromoalertas",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": null,
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 35
},
"score": 64
},
{
"id": "X8",
"text": "Yes, a MacBook Pro M4 can run this Ollama + GLM-4.7-Flash setup locally.\n\nOllama has native Apple Silicon support via Metal. The Q4_K_M model (~19GB) needs ~18-24GB unified memory for good speed (feels like a fast 7-12B model due to MoE). \n\nBase M4 configs start at 16GB (works, but slower with smaller context); 24GB+ is ideal for smooth agent tasks in OpenClaw.\n\nJust: brew install ollama (or download app), ollama run glm4.7-flash, link to OpenClaw. No issues reported on M3/M4 series.",
"url": "https://x.com/grok/status/2026716420269031652",
"author_handle": "grok",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": null,
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 35
},
"score": 64
},
{
"id": "X2",
"text": "@TechByTaraa Both. macOS (Macbook Pro M4 Pro) for my photography/videography personal stuff + software engineering and a Linux desktop workstation for software engineering + second desktop workstation with Proxmox for Windows VMs and testing stuff",
"url": "https://x.com/grecinoscdev/status/2026731118142148644",
"author_handle": "grecinoscdev",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": {
"likes": 1
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 0
},
"score": 56
},
{
"id": "X11",
"text": "Apple 2024 MacBook Pro 14\u30b3\u30a2CPU\u300120\u30b3\u30a2GPU \u306e M4 Pro\u642d\u8f09\u30ce\u30fc\u30c8\u30d1... PR\n\n4549995547610\n\n\u30dd\u30a4\u30f3\u30c8: 3735\u333d\n\u60f3\u5b9a\u4fa1\u683c: 369,800\n\n2026/02/26 01:55:23\nhttps://t.co/q1uyIqFsID",
"url": "https://x.com/Steve_Lost_Jobs/status/2026705327828382016",
"author_handle": "Steve_Lost_Jobs",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": {
"likes": 1
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 0
},
"score": 56
},
{
"id": "X3",
"text": "No, Apple has not made any MacBook (Pro or otherwise) cost $299. \n\nThe linked Newsroom search returns zero matching results\u2014it's just unrelated announcements. Current cheapest Mac is the 13\" MacBook Air M4 from $999.\n\nRumors suggest a basic \"budget\" MacBook (A18 Pro chip, ~12.9\" screen) may launch March 4 around $599\u2013$799, but nothing confirmed and far from $299. The original post is a joke/mislead.",
"url": "https://x.com/grok/status/2026727605517394283",
"author_handle": "grok",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": {
"likes": 1
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 0
},
"score": 56
}
],
"web": [],
"youtube": [
{
"id": "9HQx5pgUoiY",
"title": "M4 Max MacBook Pro: I'm Convinced!",
"url": "https://www.youtube.com/watch?v=9HQx5pgUoiY",
"channel_name": "Marques Brownlee",
"date": "2024-11-18",
"date_confidence": "high",
"engagement": {
"num_comments": 5500,
"likes": 105606,
"views": 4010567
},
"transcript_snippet": "so I have been using this M1 Max MacBook Pro for the past 3 years since it came out and it's been great I have felt absolutely no compulsion to upgrade since haven't needed to it's funny most of my work is pretty light but occasionally I will have to edit a video on the go which is then when you know the extra horsepower and the screen and everything about this comes in handy and it's great if I didn't have to do that ever I would just have like an air or a surface laptop something like that but that range of work is why this has been great for me and it's been awesome so [Music] far so Along Comes This M4 generation of MacBook Pros and it's the first generation that I have actually been tempted to maybe upgrade to you know they stacked a couple of the right upgrades in the right places for things that actually make a difference to me so let's just get right into it nuts and bolts cuz the first big pillar is performance and the main reason why this new laptop matters at all is that it's got the new generation of M4 chips inside and we all know the leap from Intel chips to apple cic chips for M1 was generational but since then it's been a sort of more reasonable incremental upgrade going from M1 to M2 then M3 and then M4 so I think it's pretty obvious that nobody with an M2 or M3 needs to upgrade but there's been enough improvements now stacking up upon each other from M1 to M4 that the numbers are now starting to get kind of interesting so just to set the stage this laptop that I've been using is the M1 Max maxed out basically the best you could get at the time 64 gigs of of unified memory on this system and this unit I've been testing of the M4 Max is also maxed out it's the best you can get now it's 128 gigs of faster unified memory but the cores are all better fast stronger on the new one 3 nomers versus 546 gigs per second of memory bandwidth versus 400 just the hardware improvements to get to M4 Max are clearly there so to keep the Apples to Apples comparison going Apple in their own presentation said up to 2.2 times faster CPU performance than M1 Max and 1.9 times faster GPU performance so we're looking at around twice as fast and the synthetic benchmarks I've run back this up I got over 4,000 in geekbench 6 CPU single core which is the highest single core score ever in a Mac by a while and the multicore score was incredible too tops the chart and then GPU has improved a lot to the point where it's bumping up against M2 Ultra not M2 Max M2 Ultra chips the one that's currently in the Mac Pro...",
"relevance": 0.7,
"why_relevant": "YouTube video about m4 macbook pro review",
"subs": {
"relevance": 70,
"recency": 0,
"engagement": 100
},
"score": 61
},
{
"id": "etP2Th9g2hM",
"title": "Don't buy the Wrong MacBook like me... - M4 MacBook Pro",
"url": "https://www.youtube.com/watch?v=etP2Th9g2hM",
"channel_name": "ShortCircuit",
"date": "2024-11-30",
"date_confidence": "high",
"engagement": {
"num_comments": 910,
"likes": 22765,
"views": 1113999
},
"transcript_snippet": "woohoo it's new Macbook day my favorite day on short circuit it only comes usually once a year this is the MacBook Pro M4 looks pretty similar to the last one but now it has an M4 instead of an M3 I'm not going to lie I am more of an M3 kind of guy but I can rock an M4 if I have to we've got their usual mag safe 3 to USBC 2 m sleeved nice cable and then a charging brick Oh I ripped it 70 wat USBC charging at least with the 14in I'm not sure what comes with the rest and then the usual Apple propaganda these still come with Apple stickers right do these not come with Apple stickers anymore bro what's the point in even buying them then it's probably good for the planet or something now if you're wondering I am still rocking the same Intel MacBook Pro over here I haven't upgraded yet so this is again another instance of me going hm maybe it's finally time except when I got to set today I realized tragedy struck we bought the wrong MacBook it is still an M4 Pro it's a good form factor we got the 14in here in the sexy space black color profile you can also get it in silver of course but there was a horrible error made and I'm not going to tell you just yet you're going to have to wait a second because first I need to go over the outside of this thing we've got an HDMI 2.1 port a USBC Thunderbolt Port an SD card reer and then on the other side another two USBC Thunderbolt ports 3.5 mil combo audio jack and mag safe there is an upgrade here on the USBC ports they're now Thunderbolt 5 instead of Thunderbolt 4 at least on the pro and Max models uh the base M4 spec only is Thunderbolt 4 and that's good for 120 gbit which is up to 3 times faster than Thunderbolt 4 on the inside bam it's it's pretty much the same keyboard look at that I think it is exactly the same keyboard pretty similar touchpad and then there is the display it looks pretty much the same same resolution same xdr fancy technology it is 1,000 nits Peak brightness when you're Outdoors instead of 600 so that should help with outdoor visibility um there is another change I'm going to tell you about in a bit but the big thing is the new nanotexture option which is an anti-glare coating and as you can tell we don't have it and I saw I Justine's video when it came out look at the difference what the hell you can't even use the one on the right and the one on the left looks beautiful it actually seems to work really well I can't wait to try it myself and honestly I think based on that if you're somebody...",
"relevance": 0.7,
"why_relevant": "YouTube video about m4 macbook pro review",
"subs": {
"relevance": 70,
"recency": 0,
"engagement": 79
},
"score": 55
},
{
"id": "b4x8boB2KdI",
"title": "M4 MacBook Pro Review - Things to Know",
"url": "https://www.youtube.com/watch?v=b4x8boB2KdI",
"channel_name": "Dave2D",
"date": "2024-11-07",
"date_confidence": "high",
"engagement": {
"num_comments": 827,
"likes": 24977,
"views": 1057988
},
"transcript_snippet": "so Apple launched the new M4 MacBook Pros this is their 14-in model and it's equipped with the M4 Max their topend configuration and it also has their new Nano texture on their screen it's a texture that's designed to cut down Reflections it's the first time they've actually had it on one of their laptops uh but I want to do a quick video here that kind of goes over the important things I think you should be aware of when it comes to this device and the first thing I want to talk about is performance the CPU gains are quite good year on-ear but it's particularly impressive that the M4 Max can outperform the M2 Ultra in a lot of benchmarks and workflows in terms of Graphics the GPU gains on the M4 Pro are decent but the GPU games on the M4 Max are very impressive most GPU bound apps and games will get a nice bump up from this plus the rate tracing capabilities are better so apps and games can take advantage of that the thing I'm most impressed by though is how good the M4 Max GPU is compared to the previous generation especially at a very similar thermal envelope like if you think about the competitors in this space like AMD Nvidia when they come out with laptop gpus typically the new models come also come with like an increase in power requirement right it's just like you know 5 or 10 watts per year but it adds up over the course of time and on this device if you think about the M1 Max to the M4 Max the GPU has improved so much with very little increase in power consumption The Thermals on this device are pretty much the same as last year's models in terms of memory the base configuration start at 16 GB now thankfully and they've also increased the memory bandwidth it's noticeable already on the base models but the pro and Max chips get a significant boost in memory speed so for applications that lean on Fast memory you definitely notice a bump up this year if I'm being honest though it's difficult for me to tell how much of the gains that we're seeing this year come from the memory speed increase versus the CPU or the GPU increase like they're all tied together and I don't have the tools to lock memory speed on a Macbook so it's tough to tell I will say though that if you have an older M1 or M2 or M3 MacBook Pro I wouldn't upgrade because Apple's silicon performance progresses so fast year on-ear that it can pay off to just wait as long as you can before you buy new hardware okay let's talk about the screens so this particular device is running their new Nano texture finish and it's finish we've seen on other devices before right like their screens uh the new iPads and every...",
"relevance": 0.7,
"why_relevant": "YouTube video about m4 macbook pro review",
"subs": {
"relevance": 70,
"recency": 0,
"engagement": 79
},
"score": 55
},
{
"id": "uPe9spXLfZY",
"title": "M4 MacBook Air vs M4 MacBook Pro - 4 Months Later",
"url": "https://www.youtube.com/watch?v=uPe9spXLfZY",
"channel_name": "Created Tech",
"date": "2025-07-07",
"date_confidence": "high",
"engagement": {
"num_comments": 437,
"likes": 5082,
"views": 472845
},
"transcript_snippet": "",
"relevance": 0.7,
"why_relevant": "YouTube video about m4 macbook pro review",
"subs": {
"relevance": 70,
"recency": 0,
"engagement": 63
},
"score": 50
},
{
"id": "TfvIgdzImt4",
"title": "The Macbook Pro M4 is Insane.",
"url": "https://www.youtube.com/watch?v=TfvIgdzImt4",
"channel_name": "Hardware Canucks",
"date": "2024-12-15",
"date_confidence": "high",
"engagement": {
"num_comments": 435,
"likes": 6339,
"views": 325599
},
"transcript_snippet": "",
"relevance": 0.7,
"why_relevant": "YouTube video about m4 macbook pro review",
"subs": {
"relevance": 70,
"recency": 0,
"engagement": 62
},
"score": 50
},
{
"id": "a8Szdrnq0YM",
"title": "MacBook Pro M4 - Review After 3 Months: This Feels Wrong.",
"url": "https://www.youtube.com/watch?v=a8Szdrnq0YM",
"channel_name": "Brandon Butch",
"date": "2025-02-03",
"date_confidence": "high",
"engagement": {
"num_comments": 397,
"likes": 4309,
"views": 352593
},
"transcript_snippet": "",
"relevance": 0.7,
"why_relevant": "YouTube video about m4 macbook pro review",
"subs": {
"relevance": 70,
"recency": 0,
"engagement": 60
},
"score": 49
},
{
"id": "anIVewgtbFc",
"title": "The Base M4 MacBook Pro is All You Need (Skip M4 Pro & Max)",
"url": "https://www.youtube.com/watch?v=anIVewgtbFc",
"channel_name": "MacRumors",
"date": "2024-12-17",
"date_confidence": "high",
"engagement": {
"num_comments": 336,
"likes": 2874,
"views": 238619
},
"transcript_snippet": "",
"relevance": 0.7,
"why_relevant": "YouTube video about m4 macbook pro review",
"subs": {
"relevance": 70,
"recency": 0,
"engagement": 55
},
"score": 48
},
{
"id": "5rN6CEO31gM",
"title": "MacBook Pro M4: Review & Recommendations",
"url": "https://www.youtube.com/watch?v=5rN6CEO31gM",
"channel_name": "Just Josh",
"date": "2024-11-15",
"date_confidence": "high",
"engagement": {
"num_comments": 441,
"likes": 4540,
"views": 154306
},
"transcript_snippet": "",
"relevance": 0.7,
"why_relevant": "YouTube video about m4 macbook pro review",
"subs": {
"relevance": 70,
"recency": 0,
"engagement": 55
},
"score": 48
},
{
"id": "i3eTKJav1VI",
"title": "M4 Pro MacBook - Long Term Review (6 Months Later)",
"url": "https://www.youtube.com/watch?v=i3eTKJav1VI",
"channel_name": "Created Tech",
"date": "2025-04-29",
"date_confidence": "high",
"engagement": {
"num_comments": 136,
"likes": 1832,
"views": 137009
},
"transcript_snippet": "",
"relevance": 0.7,
"why_relevant": "YouTube video about m4 macbook pro review",
"subs": {
"relevance": 70,
"recency": 0,
"engagement": 47
},
"score": 45
},
{
"id": "QbSQH_95eg8",
"title": "MacBook Pro M4 Pro Review: 1 Year Later! (Still Worth Buying in 2026?)",
"url": "https://www.youtube.com/watch?v=QbSQH_95eg8",
"channel_name": "Tech It Easy",
"date": "2026-02-01",
"date_confidence": "high",
"engagement": {
"num_comments": 42,
"likes": 55,
"views": 3176
},
"transcript_snippet": "",
"relevance": 0.7,
"why_relevant": "YouTube video about m4 macbook pro review",
"subs": {
"relevance": 70,
"recency": 19,
"engagement": 0
},
"score": 36
}
],
"best_practices": [],
"prompt_pack": [],
"context_snippet_md": "# Context: M4 MacBook Pro review (Last 30 Days)\n\n*Generated: 2026-02-25 | Sources: both*\n\n## Key Sources\n\n- [X] If you are in the market for a new MacBook Pro and...\n- [X] \ud83d\udd25 2024 16\u201d MacBook Pro Price List\n\n1\ufe0f\u20e3 \ud83c\uddfa\ud83c\uddf8 Brand Ne...\n- [X] @5TRgzn @LobstarWilde My marble floors: 64GB M4 Pr...\n- [X] @JulianGoldieSEO @grok can a macbook pro m4 run th...\n- [X] @SebAaltonen Not my experience. It\u2019s impressive, 7...\n- [Reddit] M4 Macbook Pro 14\u2019 1 month review\n- [Reddit] MacBook Pro M4 Battery Life Reality vs Review\n\n## Summary\n\n*See full report for best practices, prompt pack, and detailed sources.*\n"
}
@@ -0,0 +1,428 @@
{
"topic": "best rap songs 2026",
"range": {
"from": "2026-01-26",
"to": "2026-02-25"
},
"generated_at": "2026-02-25T20:35:50.131818+00:00",
"mode": "both",
"openai_model_used": "gpt-5.2",
"xai_model_used": "grok-4-1-fast",
"reddit": [
{
"id": "R10",
"title": "What's the best rap song ever made?",
"url": "https://www.reddit.com/r/TeenageRapFans/comments/1r5iub6/whats_the_best_rap_song_ever_made/",
"subreddit": "TeenageRapFans",
"date": "2026-02-15",
"date_confidence": "high",
"engagement": null,
"top_comments": [],
"comment_insights": [],
"relevance": 0.65,
"why_relevant": "Direct \u2018best rap song\u2019 debate thread posted in 2026; good for mining frequently-cited \u2018best\u2019 contenders.",
"subs": {
"relevance": 65,
"recency": 66,
"engagement": 50
},
"score": 57
},
{
"id": "R12",
"title": "This is their worst bracket ever",
"url": "https://www.reddit.com/r/HivemindTV/comments/1r8px0j/this_is_their_worst_bracket_ever/",
"subreddit": "HivemindTV",
"date": "2026-02-19",
"date_confidence": "high",
"engagement": null,
"top_comments": [],
"comment_insights": [],
"relevance": 0.45,
"why_relevant": "Meta thread about a \u2018Best Rap songs of the 21st century\u2019 bracket/video; includes debate about picks and what \u201cbest rap songs\u201d should be.",
"subs": {
"relevance": 45,
"recency": 80,
"engagement": 50
},
"score": 52
},
{
"id": "R4",
"title": "Daily Discussion Thread 02/13/2026",
"url": "https://www.reddit.com/r/hiphopheads/comments/1r3mudz/daily_discussion_thread_02132026/",
"subreddit": "hiphopheads",
"date": "2026-02-13",
"date_confidence": "high",
"engagement": null,
"top_comments": [],
"comment_insights": [],
"relevance": 0.5,
"why_relevant": "General hip-hop discussion thread dated in 2026 where users frequently debate best tracks (including \u201cbest track is probably\u2026\u201d style mini-rankings).",
"subs": {
"relevance": 50,
"recency": 60,
"engagement": 50
},
"score": 49
},
{
"id": "R3",
"title": "Pre-Show Grammy Winners",
"url": "https://www.reddit.com/r/hiphopheads/comments/1qtcbmo/preshow_grammy_winners/",
"subreddit": "hiphopheads",
"date": "2026-02-01",
"date_confidence": "high",
"engagement": null,
"top_comments": [],
"comment_insights": [],
"relevance": 0.7,
"why_relevant": "Discusses 2026 Grammys rap categories (Best Rap Song/Performance, etc.), which commonly overlaps with \u2018best rap songs\u2019 discussions.",
"subs": {
"relevance": 70,
"recency": 19,
"engagement": 50
},
"score": 48
},
{
"id": "R14",
"title": "Reddit Ranked: Hip Hop \u201826",
"url": "https://www.reddit.com/r/redranked/comments/1qszauu/reddit_ranked_hip_hop_26/",
"subreddit": "edranked",
"date": "2026-02-01",
"date_confidence": "high",
"engagement": null,
"top_comments": [],
"comment_insights": [],
"relevance": 0.57,
"why_relevant": "Community submission/ranking project for Hip Hop \u201826; relevant to discovering and discussing top tracks for 2026.",
"subs": {
"relevance": 56,
"recency": 19,
"engagement": 50
},
"score": 41
},
{
"id": "R7",
"title": "Pitchfork: The 32 Best Rap Albums of 2025",
"url": "https://www.reddit.com/r/hiphopheads/comments/1pjywih/pitchfork_the_32_best_rap_albums_of_2025/",
"subreddit": "hiphopheads",
"date": null,
"date_confidence": "low",
"engagement": null,
"top_comments": [],
"comment_insights": [],
"relevance": 0.48,
"why_relevant": "Best-of list discussion (albums) that typically includes commenters calling out standout songs; adjacent to \u2018best rap songs\u2019 discourse heading into 2026.",
"subs": {
"relevance": 48,
"recency": 0,
"engagement": 50
},
"score": 28
}
],
"x": [
{
"id": "X5",
"text": "Talking about meaningful rap songs...\n\nWORLD BEST LIE - NUNO ZIGI (2026)\ud83e\udd7a\u2764 https://t.co/MDHRf3giYq",
"url": "https://x.com/Zika_gfx/status/2026576570513600788",
"author_handle": "Zika_gfx",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": {
"likes": 11,
"reposts": 5,
"replies": 2
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 100
},
"score": 86
},
{
"id": "X6",
"text": "@PopCrave Partition still goes harder than most 2026 songs \n12 years and the beat switch + that rap still give chills every time. Queen never misses",
"url": "https://x.com/DPOSTS6/status/2026523320548819145",
"author_handle": "DPOSTS6",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": {
"likes": 4,
"reposts": 1
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 42
},
"score": 69
},
{
"id": "X9",
"text": "@Unfath0m4ble @robinthisbish @lilceaserthabp1 @RapWikip What You Saying by Lil Uzi Vert. Dropped Dec 2025, hit #1 on Hot Rap Songs in Jan 2026 (his 3rd time), peaked #14 Hot 100. Super short track ~2 min with minimal lyrics.",
"url": "https://x.com/grok/status/2026467153046606064",
"author_handle": "grok",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": null,
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 35
},
"score": 64
},
{
"id": "X7",
"text": "@lil_loonie1 @oldmanebro No, Lil Uzi Vert isn't struggling. His \"What You Saying\" hit #1 on Hot Rap Songs in Jan 2026 (first in 3 years) and top 15 Hot 100. Insiders say a surprise album drop is coming soon, with fans calling 2026 his revival year like 2016. Proving that old prediction wrong.",
"url": "https://x.com/grok/status/2026518008827404632",
"author_handle": "grok",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": {
"replies": 1
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 35
},
"score": 64
},
{
"id": "X2",
"text": "Su La Musica che gira intorno... \"Qui con me\" \u00e8 il brano con cui Serena Brancale \u00e8 in gara al 76\u00b0 Festival di Sanremo\nhttps://t.co/wTPeovzt6u\n#music #genre #song #songs #envywear #PleaseForgiveMe #melody #hiphop #rnb #pop #love #rap #dubstep #instagood https://t.co/Pi7msX5FG6",
"url": "https://x.com/Ferginangi/status/2026696207557382298",
"author_handle": "Ferginangi",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": null,
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 35
},
"score": 64
},
{
"id": "X12",
"text": "[ ** STUDIO BOOTH ** ] ** DROPPING SOON - 2026 **\ud83d\udd25\ud83d\udd25\ud83d\udd25\u2026\u2026\u2026..[ ALBUM : LOVE VS LOYALTY - DROPPING SOON ! ]\u2026\u2026\u2026\ud83d\udd25\ud83d\udd25\ud83d\udd25 - ** ALL SONGS &amp; BEATS, PRODUCED &amp; RAP BY ( SEAN BRYANT ) - https://t.co/LduwG5WmM7 - 2/23/2026 - ( KWR 4 LIFE ) - A.A.O &amp; 444 ! https://t.co/NDmkURbjgv",
"url": "https://x.com/teammusic2046/status/2026040965329191061",
"author_handle": "teammusic2046",
"date": "2026-02-23",
"date_confidence": "high",
"engagement": null,
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 93,
"engagement": 35
},
"score": 62
},
{
"id": "X11",
"text": "@PopBase Finally, @bts_bighit BTS will come back after completing their military service from 2022 to 2025.\nBTS served in the military to protect their country, South Korea from North Korea's nuclear weapons attack.\n BTS can sing songs and rap on March 20, 2026, KST.\n#BTS_ARIRANG https://t.co/46n1j6eENU",
"url": "https://x.com/IoWeul/status/2026233090683863471",
"author_handle": "IoWeul",
"date": "2026-02-24",
"date_confidence": "high",
"engagement": {
"likes": 2
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 96,
"engagement": 13
},
"score": 59
},
{
"id": "X8",
"text": "Lil Uzi Vert (born July '95, so 30 now) isn't struggling at all. Fresh off \"What You Saying\" hitting #1 on Hot Rap Songs in Jan 2026, top 15 Hot 100. New album rumored for surprise drop soon, Roc Nation deal, still packing stadium energy and proving Ebro's 2016 doubts wrong\u2014he's still here, thriving.",
"url": "https://x.com/grok/status/2026498538075554040",
"author_handle": "grok",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": {
"likes": 1,
"replies": 1
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 6
},
"score": 58
},
{
"id": "X4",
"text": "My musical taste / eras every year\n\n2020: J-POP &amp; K-POP (mostly BLACKPINK)\n2021: Sped-Up Songs\n2022: EDM\n2023: Swiftie (Pop) &amp; Lofi\n2024: Pop, Ambient\n2025: Alternative, OPM, Rock, Rap, Hip-Hop (add)\n2026: K-POP (add)",
"url": "https://x.com/AlterEgoPopList/status/2026641456434393579",
"author_handle": "AlterEgoPopList",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": {
"likes": 1,
"replies": 1
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 6
},
"score": 58
},
{
"id": "X3",
"text": "@_CharlesPreston Can\u2019t believe I\u2019m seeing \u201cthey say it in rap songs!\u201d In 2026\n\nThe same reductive, ancient, debunked arguments ad infinitum",
"url": "https://x.com/WordsFromBlerds/status/2026647382083903688",
"author_handle": "WordsFromBlerds",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": {
"likes": 1
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 0
},
"score": 56
},
{
"id": "X1",
"text": "Su La Musica che gira intorno... \"Magica Favola\" \u00e8 il brano con cui Arisa \u00e8 in gara al 76\u00b0 Festival di Sanremo\nhttps://t.co/Nxzkb005lP\n#music #genre #song #songs #envywear #PleaseForgiveMe #melody #hiphop #rnb #pop #love #rap #dubstep #instagood https://t.co/uziy4MjeeB",
"url": "https://x.com/Ferginangi/status/2026705227366256880",
"author_handle": "Ferginangi",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": {
"likes": 1
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 0
},
"score": 56
},
{
"id": "X10",
"text": "@blackiiingout \ud83d\udca9 is funny from 2025 to 2026. BiiCH is SCARED to drop that #TRASH he calls \"rap songs\" \ud83e\udd74\ud83d\ude29",
"url": "https://x.com/fo_sho52268/status/2026335353364201566",
"author_handle": "fo_sho52268",
"date": "2026-02-24",
"date_confidence": "high",
"engagement": {
"likes": 1
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 96,
"engagement": 0
},
"score": 55
}
],
"web": [],
"youtube": [
{
"id": "ZUExyc50ZVU",
"title": "Lit Hip Hop Mix 2026\ud83d\udd25\ud83d\udd25\ud83d\udd25Tyga, Quavo, Iggy Azalea, Wiz Khalifa, Juicy J, 50 Cent",
"url": "https://www.youtube.com/watch?v=ZUExyc50ZVU",
"channel_name": "West Coast Finest",
"date": "2026-01-29",
"date_confidence": "high",
"engagement": {
"num_comments": 60,
"likes": 4228,
"views": 407260
},
"transcript_snippet": "Yeah. &gt;&gt; Yeah. [music] Late nights, cold life, same story. &gt;&gt; City shine different. You walking with glory, right? &gt;&gt; Still drip falling when I step outside. Yeah. [music] &gt;&gt; Black car park with a do butterfly. Too [music] much heat when we walk inside. Midnight. So you can kill this V. Gold chain swinging when I lean on the night. Shut it. Look twice when I glow on the light. Yeah. I've been running through the city with a cool grin. [music] Ain't nobody in my lane when the night begin white clean look like but a good kind win. It's all too smooth but I back that talk. Money so clean make a bro [music] boy walk in my cup but my soul don't shock. I've been cold for years. I ain't you mock. She said boy you too for the life you live. I peace ain't weak. It's [music and singing] the power I give. I don't flex too loud. I don't need that when your whole damn already scream. Yeah. Late night in the rooftop smoke girls but they all provoke. I don't chase no dream. I just take that goal. I don't chase no soul. They just lose control. Cameras on flash when I step on deck. Fit so clean. Make the whole [music] place check. Talk about but I still respect. Still too smooth. I don't never need a flex. Yeah. West coast chill with a heart [music and singing] too cold. Stories too deep that ain't never been told. I'm a tight make a new king. Pretty boy look but a mind. Yeah. Slide through smooth. Let a breeze and a ghost. All [music and singing] them in my but I flex coast to coast. Pretty boy with a mind stay close to the pain to the grind to the things I boast. Wo. F drag with a midnight gleam. [music and singing] Squad clean like a runway team. All black drip with a icon of sheen. Feel like a king every time I hit a scene. Purple in a club but a soul still clear. Vision too [singing] sharp when I stare in the mirror. [music] Fashion too loud but the vibe too sick. Every step I take got a world right here. Yeah. BBS ice made a nice guy blush. Shorty walk in the whole club hush. Talk too [music] cute but she move too lush. Slow down baby [singing] you rush too much. [music] Boy magic with a westside twist. Mind too slick when I talk like this. I don't miss not a bar not a kiss. I ain't too heavy. I exist like bliss. Woah. Let it on my back with a chrome on shine. Let the world go blind. I'm still define. Every day I'm tren with a style so divine still drip [music] when I step outside. Yeah. Black car park with the dogs butterfly. Too much heat when we walk inside. Midnight. [music] You can't kill...",
"relevance": 0.7,
"why_relevant": "YouTube video about rap songs 2026",
"subs": {
"relevance": 70,
"recency": 9,
"engagement": 100
},
"score": 63
},
{
"id": "d1melQQVp6s",
"title": "New Rap Songs 2026 Mix February | Trap Tape #127 | New Hip Hop 2026 Mixtape | DJ Noize",
"url": "https://www.youtube.com/watch?v=d1melQQVp6s",
"channel_name": "DJ Noize",
"date": "2026-02-14",
"date_confidence": "high",
"engagement": {
"num_comments": 45,
"likes": 761,
"views": 42707
},
"transcript_snippet": "[music] This This is a DJ noise mixtape present. This is a DJ noise mixtape [music] presentation. DJ [music] &gt;&gt; Who the [&nbsp;__&nbsp;] is you? Who the [&nbsp;__&nbsp;] is you? Who the [&nbsp;__&nbsp;] &gt;&gt; Yeah, you know who put the city on. Came [music] back through gold they show. I'm really on. Your [&nbsp;__&nbsp;] died trying. I had 50 on. [&nbsp;__&nbsp;] is [music] ringing out my phone like is you really on? I'll stay out the way since I [singing] seen a million on 5% tension plus I got this hoodie on. I had to hubble up. Stop [music] moving with that jury on. You hear that girl told me [&nbsp;__&nbsp;] get deep ass. Get it on. I'm a sidewalk [&nbsp;__&nbsp;] I'mma stay there. I leave the [music] streets for the ones that want to play. I leveled up so shy want a day chair. Left my kids [music] in a mouth like a dayare. I'm the Carolina now Shakespeare. All that cap you let them [&nbsp;__&nbsp;] rap is over. The real is back. You [music] feel the way you got to cope with it. The veil put a [&nbsp;__&nbsp;] six feet like that was hit. Okay, these [&nbsp;__&nbsp;] ain't talking about [&nbsp;__&nbsp;] No [music] diamonds on my neck. No rolly on my wrist. Two six I learned a little bit. I learned the hardest [music] [&nbsp;__&nbsp;] You can always get kicked. I can jungle. I done [&nbsp;__&nbsp;] around and [singing] got rich. See dollars in my pocket. [&nbsp;__&nbsp;] I'm not a lick. [music] I'd rather that than got to [singing] walk around with sticks cuz I like the hardest [&nbsp;__&nbsp;] He can always get Who the [&nbsp;__&nbsp;] is you? Who the [&nbsp;__&nbsp;] [music] is you? Who the [&nbsp;__&nbsp;] is you? Who the [&nbsp;__&nbsp;] is you? Out the way. It's a real [&nbsp;__&nbsp;] coming through. Out the way. [music] It's a real [&nbsp;__&nbsp;] coming through. Who the [&nbsp;__&nbsp;] is you? Who the [&nbsp;__&nbsp;] is you? Who the [&nbsp;__&nbsp;] is you? Who the [&nbsp;__&nbsp;] is you out [music] the way? It's a real [&nbsp;__&nbsp;] coming through. Out the way. It's a real [&nbsp;__&nbsp;] [music] &gt;&gt; [music] &gt;&gt; Running to the check flag won't pull over till I'm dead right no [music] ain't going to get no [&nbsp;__&nbsp;] riding with me in the head know I'm [&nbsp;__&nbsp;] no big [&nbsp;__&nbsp;] popping in the little [&nbsp;__&nbsp;] dropping bags it's a lot to you to me [&nbsp;__&nbsp;] 40 in my lap. Uh-huh. Real dope boys in [music] a trap. Uh-huh. Big y like a big shot. [&nbsp;__&nbsp;] on my dick. [singing] Make me room for your big got to let them know. I don't wrestle. I don't live block. [music] Solid tails. All I do is big rock. I came from Dilling Rock all the way to hit on the grown. [&nbsp;__&nbsp;] ain't when I'm on. She can kick rock. Let her know. I'm blowing money. Let [music] them know I'm only I know how we get bread. I ain't never [music] scared on...",
"relevance": 0.7,
"why_relevant": "YouTube video about rap songs 2026",
"subs": {
"relevance": 70,
"recency": 63,
"engagement": 37
},
"score": 58
},
{
"id": "-KQpPySP93I",
"title": "New Hip Hop R&B Songs 2026 Mix February | Hot Right Now #153 | New Rap 2026 Playlist | DJ Noize",
"url": "https://www.youtube.com/watch?v=-KQpPySP93I",
"channel_name": "DJ Noize",
"date": "2026-02-21",
"date_confidence": "high",
"engagement": {
"num_comments": 18,
"likes": 304,
"views": 12955
},
"transcript_snippet": "This This is a DJ noise tape present. This is a DJ noise mix. [music] I got Nikki on me. How we treat the like a bucket for rubbing. You [music] ain't no fella from my junction. You ain't pluck you clapping smirk. Young enough to something. [music] Word mother body slam some [&nbsp;__&nbsp;] for honey. Keep a stitch. People pick me up. Ain't saying a word or nothing. Grab a [music] load. Put on little bro. We had him serving prostitut. Shout out little [singing] b. She gave me 30 something on the beat. Phone cracker seal and I can't go to sleep. Promoters tweaking. [music] Pull up to the venue over 40 deep. You know the tweak. Ranking through the roof then you ain't supposed to leak. It's one up top. Manator is keep it close to me. Ain't that how it's supposed to be? [music] She going to get your me. I'm get you smoke free. Kamicazi [music] playing around [singing] this [&nbsp;__&nbsp;] Something wrong with me. I'm letting diss the dead unless they skeleton belong the team type of [&nbsp;__&nbsp;] won't let it get in between the city and the police where [&nbsp;__&nbsp;] get they do for me they [music] all do the show leaning spots I do like fully call back off you know it's strong we [music] man 15 I had 15 [singing] in 2010 then I be [music] the man right now [&nbsp;__&nbsp;] change big guns bank shame I'm change [music] I'm going make that I only burn. That's how my body [music] can't be pull [singing] right to the sun. [music] Ain't going to get no [&nbsp;__&nbsp;] riding with me in the head west. I'm out of mind [music] [&nbsp;__&nbsp;] popping in little [&nbsp;__&nbsp;] dropping bags. It's a lot to you to me a little bit sh [music] like a big shot. [&nbsp;__&nbsp;] on my dick. Make me room for your big. Got to let them know I don't turn wrestle. I don't live block solid tails. [music] All I do is big rocks. I came from Dilling Rock all the way to hit on the grown. [&nbsp;__&nbsp;] ain't when I'm on. She can kick rock. Let her know [music] my foot up on the gas. I'm blowing money. You never know. I'm only [music] beat down. We getting bread. I ain't never scared big flex [music] on a [&nbsp;__&nbsp;] head what I'm standing on big chick we [singing] did that pushing weed back better give me respect and some more Atlanta [music] show I was selling ground right I don't care [music] ling to me what you need a camera better know they call it [music] we just call it they say [singing] you live down by your decision [music] well I'mma push you to the limit never mind the consequences A [&nbsp;__&nbsp;] I'm a hand better let them know on another [music] level my ass I put together hit the pedal do 200 everywhere I go [music] just to show...",
"relevance": 0.7,
"why_relevant": "YouTube video about rap songs 2026",
"subs": {
"relevance": 70,
"recency": 86,
"engagement": 0
},
"score": 53
}
],
"best_practices": [],
"prompt_pack": [],
"context_snippet_md": "# Context: best rap songs 2026 (Last 30 Days)\n\n*Generated: 2026-02-25 | Sources: both*\n\n## Key Sources\n\n- [X] Talking about meaningful rap songs...\n\nWORLD BEST ...\n- [X] @PopCrave Partition still goes harder than most 20...\n- [X] @Unfath0m4ble @robinthisbish @lilceaserthabp1 @Rap...\n- [X] @lil_loonie1 @oldmanebro No, Lil Uzi Vert isn't st...\n- [X] Su La Musica che gira intorno... \"Qui con me\" \u00e8 il...\n- [Reddit] What's the best rap song ever made?\n- [Reddit] This is their worst bracket ever\n\n## Summary\n\n*See full report for best practices, prompt pack, and detailed sources.*\n"
}
@@ -0,0 +1,486 @@
{
"topic": "React vs Svelte 2026",
"range": {
"from": "2026-01-26",
"to": "2026-02-25"
},
"generated_at": "2026-02-25T20:38:06.416555+00:00",
"mode": "both",
"openai_model_used": "gpt-5.2",
"xai_model_used": "grok-4-1-fast",
"reddit": [
{
"id": "R2",
"title": "What do you guys think about comparison between React vs Svelte?",
"url": "https://www.reddit.com/r/react/comments/1r1fku5/what_do_you_guys_think_about_comparison_between/",
"subreddit": "eact",
"date": "2026-02-10",
"date_confidence": "high",
"engagement": null,
"top_comments": [],
"comment_insights": [],
"relevance": 0.95,
"why_relevant": "Explicit React vs Svelte comparison thread posted in 2026.",
"subs": {
"relevance": 95,
"recency": 50,
"engagement": 50
},
"score": 67
},
{
"id": "R1",
"title": "Migrated our startup from React to Svelte 5 - Performance gains and lessons learned",
"url": "https://www.reddit.com/r/webdev/comments/1qu4dek/migrated_our_startup_from_react_to_svelte_5/",
"subreddit": "webdev",
"date": "2026-02-02",
"date_confidence": "high",
"engagement": null,
"top_comments": [],
"comment_insights": [],
"relevance": 0.97,
"why_relevant": "Direct React \u2192 Svelte 5 migration discussion with perf + DX comparisons (very 2026-relevant).",
"subs": {
"relevance": 97,
"recency": 23,
"engagement": 50
},
"score": 61
},
{
"id": "R21",
"title": "React Devs that moved to Svelte, do you find that Svelte reduces dev time?",
"url": "https://www.reddit.com/r/sveltejs/comments/105skdr/react_devs_that_moved_to_svelte_do_you_find_that/",
"subreddit": "sveltejs",
"date": null,
"date_confidence": "low",
"engagement": null,
"top_comments": [],
"comment_insights": [],
"relevance": 0.72,
"why_relevant": "Asks React devs about dev-time differences after moving to Svelte (DX/ecosystem tradeoffs).",
"subs": {
"relevance": 72,
"recency": 0,
"engagement": 50
},
"score": 39
},
{
"id": "R11",
"title": "Svelte 5 officially released!",
"url": "https://www.reddit.com/r/sveltejs/comments/1g7d3a7/svelte_5_officially_released/",
"subreddit": "sveltejs",
"date": null,
"date_confidence": "low",
"engagement": null,
"top_comments": [],
"comment_insights": [],
"relevance": 0.63,
"why_relevant": "Major Svelte 5 release thread with debate about whether React developers will switch (React vs Svelte dynamics).",
"subs": {
"relevance": 63,
"recency": 0,
"engagement": 50
},
"score": 35
}
],
"x": [
{
"id": "X4",
"text": "TypeScript is the baseline in 2026. But most forms still fight type drift between API, schema & UI. \n\n@formisch_dev + @valibot = one source of truth, zero boilerplate \u26a1\ufe0f\n\nconst form = useForm({ schema: YourSchema });\n\nFull types everywhere. Works in React, SolidJS, Vue, Svelte\u2026 \n\nYour biggest type-safety win this year? \ud83d\udc47",
"url": "https://x.com/FabianHiller/status/2022345388603080834",
"author_handle": "FabianHiller",
"date": "2026-02-13",
"date_confidence": "high",
"engagement": {
"likes": 61,
"reposts": 2,
"replies": 7
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 60,
"engagement": 100
},
"score": 76
},
{
"id": "X3",
"text": "Popular JavaScript Frameworks / Frontend Libraries (2025\u20132026 trends)\n\n - React: \ud83c\uddfa\ud83c\uddf8 United States\n - Vue: \ud83c\udde8\ud83c\uddf3 China (created by Evan You)\n - Angular: \ud83c\uddfa\ud83c\uddf8 United States\n - Svelte: \ud83c\uddfa\ud83c\uddf8 United States (New Zealand creator)\n - Next.js: \ud83c\uddfa\ud83c\uddf8 United States\n - Nuxt: \ud83c\uddeb\ud83c\uddf7 France\n - Astro: \ud83c\udde8\ud83c\udde6 United States / Canada\n - Solid: \ud83c\uddfa\ud83c\uddf8 United States",
"url": "https://x.com/ConsciousRide/status/2023050160520278501",
"author_handle": "ConsciousRide",
"date": "2026-02-15",
"date_confidence": "high",
"engagement": {
"likes": 6
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 66,
"engagement": 33
},
"score": 57
},
{
"id": "X11",
"text": "Requirements for a fresher in 2026:\n\nPython, JavaScript, C, C++, Java, HTML, CSS, TypeScript, React, Next.js, Vue, Angular, Svelte, Node.js, Express, Django, Flask, FastAPI, Spring Boot, PHP, Laravel, Ruby, Ruby on Rails, Go, Rust, Kotlin, Swift, C#, .NET, SQL, MySQL, PostgreSQL, MongoDB, Redis, Firebase, Supabase, Prisma, Docker, Kubernetes, Nginx, Linux, Git, GitHub, Gitflow, VS Code, IntelliJ, Cloud Computing (AWS, Azure, GCP), DevOps, CI/CD, Jest, PyTest, Selenium, REST APIs, GraphQL, WebSoc",
"url": "https://x.com/singhprateek_25/status/2020094806735700154",
"author_handle": "singhprateek_25",
"date": "2026-02-07",
"date_confidence": "high",
"engagement": {
"likes": 6,
"reposts": 1
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 40,
"engagement": 39
},
"score": 53
},
{
"id": "X1",
"text": "Ripple: The Good Parts of React, Svelte, and Solid\n\nFrameworks rise and fall \u2014 and in 2026 we\u2019re deep in late-stage React. What\u2019s next? Join @erikras as he introduces Ripple, a TypeScript-first UI framework blending the best of React and Svelte with fine-grained reactivity and serious speed.\n\nSee the future of UI development live at CityJS London.\nGet your ticket now: https://t.co/wGMJJIELXm",
"url": "https://x.com/cityjsconf/status/2024908272646398229",
"author_handle": "cityjsconf",
"date": "2026-02-20",
"date_confidence": "high",
"engagement": {
"reposts": 1
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 83,
"engagement": 0
},
"score": 52
},
{
"id": "X2",
"text": "Prediction: 2026 marks the death of the JS frameworks. React, Svelte, Astro etc... only exist because humans need organized code to stay sane. \n\nOnce we stop reading the source code, we stop needing the structure. \n\nIn an AI-first world, JS frameworks are just overhead.",
"url": "https://x.com/dennydotio/status/2024195986890109320",
"author_handle": "dennydotio",
"date": "2026-02-18",
"date_confidence": "high",
"engagement": {
"likes": 1
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 76,
"engagement": 7
},
"score": 52
},
{
"id": "X5",
"text": "Web developers, what stack are you using in 2026?\nReact? Vue? Svelte? Vanilla? Curious what\u2019s actually winning.",
"url": "https://x.com/AzamCodes/status/2022298287236383010",
"author_handle": "AzamCodes",
"date": "2026-02-13",
"date_confidence": "high",
"engagement": {
"likes": 2,
"replies": 1
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 60,
"engagement": 19
},
"score": 52
},
{
"id": "X8",
"text": "[2026/02/11 18:00] \u30c8\u30ec\u30f3\u30c91\u4f4d\n\u3010WebF\u3011React/Vue/Svelte\u304c\u305d\u306e\u307e\u307e\u30cd\u30a4\u30c6\u30a3\u30d6\u30a2\u30d7\u30ea\u306b\u306a\u308b\u3088 by rana_kualu https://t.co/GiAnTHpOBB",
"url": "https://x.com/QiitaTrend/status/2021509592489025785",
"author_handle": "QiitaTrend",
"date": "2026-02-11",
"date_confidence": "high",
"engagement": null,
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 53,
"engagement": 35
},
"score": 52
},
{
"id": "X10",
"text": "@babakfpk In 2026, picking React for a new project only really makes sense if you value ecosystem maturity, are following existing team habits, or need React-specific libraries. Same for Vue. Otherwise, use Solid or Svelte.",
"url": "https://x.com/nicobaogim/status/2020689628282667407",
"author_handle": "nicobaogim",
"date": "2026-02-09",
"date_confidence": "high",
"engagement": null,
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 46,
"engagement": 35
},
"score": 50
},
{
"id": "X12",
"text": "2026 framework discourse:\n\nDev 1: \"React is bloated, use Svelte\"\nDev 2: \"Svelte has no ecosystem, use Vue\"\nDev 3: \"Vue is dying, use Solid\"\nDev 4: \"Just use React\"\n\nMeanwhile React: *still powering 80% of the web*\n\nThe discourse never ends. \ud83d\udc80",
"url": "https://x.com/Chubbi_Stephen/status/2020087839648800853",
"author_handle": "Chubbi_Stephen",
"date": "2026-02-07",
"date_confidence": "high",
"engagement": null,
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 40,
"engagement": 35
},
"score": 49
}
],
"web": [],
"youtube": [
{
"id": "yl0YWA2K2B0",
"title": "React wants to win you back\u2026",
"url": "https://www.youtube.com/watch?v=yl0YWA2K2B0",
"channel_name": "Fireship",
"date": "2025-10-17",
"date_confidence": "high",
"engagement": {
"num_comments": 1000,
"likes": 22894,
"views": 699597
},
"transcript_snippet": "Last week, I got to participate in my favorite activity of the year. No, it wasn't watching all the overleveraged crypto bros learn what a margin call is. It was hate watching React comp as an anti-react influencer. Every year I crawl into my spelt Snuggy and I watch the React team try to convince everyone that their new APIs fix all of their old APIs. And though it hurts me to say it, this year I think they may have actually done it. I know this is an AI channel now, but in today's video, we'll revisit the worst parts of React to see if the announcements they made at React Comp will actually make a difference. It is October 17th, 2025, and you're watching the code report. The greatest trick the devil ever pulled was making referential stability a prerequisite to writing React apps that don't blow up. Just last month, Cloudflare had a massive outage because their dashboard kept making unnecessary calls to one of their own APIs, which led to them basically themselves. If you're a React dev, you know this is the primary use case for React's use effect hook. And it's exactly what caused this embarrassing bug for Cloudflare. But it's hard to blame React for this. The whole situation could have been avoided if only the poor debit Cloudflare would have read the docs on use effect. Then this post which shows you when to use it. Then this post which shows you when to not use it. Then this post which shows you what it actually does. Then this post which shows you how to use it correctly. And now with React 19.2. this post which shows you how to work around it with React's new use effect event hook. The way it works is it creates a function that you can use inside of use effect without needing to declare it in the dependency array. This is nice for situations like this where you need to use a value inside of use effect but don't want the effect to rerun when it changes. And the other big API addition was the new activity component which you can think of like a smarter display none that React itself controls. It lets you show and hide certain components, but unlike display none, React is able to maintain the state of those components across visibility and also deprioritize the work it does for hidden components. And if you've been drinking your lead lace protein and want to live on the edge, you can install React's Canary version where you'll get the new view transition component for animating transitions between different UIs. And you'll be able to pass a ref to a fragment, which makes working with platform APIs a little easier. But the most impactful announcements of the conference may have not been related to the React API. The first React compiler finally hit 1.0. If you've been in any React codebase lately, you've...",
"relevance": 0.7,
"why_relevant": "YouTube video about react vs svelte 2026",
"subs": {
"relevance": 70,
"recency": 0,
"engagement": 99
},
"score": 61
},
{
"id": "MnpuK0MK4yo",
"title": "React VS Svelte...10 Examples",
"url": "https://www.youtube.com/watch?v=MnpuK0MK4yo",
"channel_name": "Beyond Fireship",
"date": "2023-06-30",
"date_confidence": "high",
"engagement": {
"num_comments": 1100,
"likes": 25490,
"views": 697106
},
"transcript_snippet": "any reasonable developer in today's world would learn react because it's the status quo and that's where the jobs are but life is a lot more fun when you become unreasonable and go against the status quo to push web development forward for future Generations in today's video we'll compare react and spelled side by side by looking at common patterns and design choices by the framework creators I'm not here to tell you that one is better than the other because that's what the comment section below this video is for the only way to truly find out which one is best is to build something with both of them and decide for yourself I just released a brand new full spell kick course yesterday and also have a full next js13 course for fireship pro members going through each one of these courses will give you a really good idea of which framework is best for you first up we need to talk about rendering both of these Frameworks do the same thing they help developers build reactive uis with JavaScript by organizing code into reusable components an end user would never be able to tell the difference between the two but when it comes to the developer experience there is a world of difference react.js uses a runtime called the virtual Dom it keeps track of data changes in the application in order to render them in the act actual Dom in the browser the drawback is that this runtime requires some initial JavaScript and in Frameworks like nextjs your Baseline is around 70 kilobytes just to render a hello world as felt on the other hand takes an entirely different approach using a compiler to eliminate the need for a runtime it takes your svelt code and converts it into vanilla JavaScript which results in a far smaller hello world using a compiler though is kind of like cheating react.js is just JavaScript whereas spill can take non-javascript code to allow developers to do things more efficiently than they could otherwise but some JavaScript fundamentalists might consider this black magic what's ironic though is that vanilla JavaScript libraries tend to be much easier to work with in spell when compared to react however react does have a massive ecosystem of dedicated libraries to help you get things done now let's look at an actual code example of component State here we have a basic counter app in react we use functions to create components and then add reactive state to them with the use State hook that returns a reactive value and a Setter function to update the state pretty simple but let's see how it compares to svelt here on the right side in spelled you have only one component file and Define the logic within the script tags to create reactive State all you do is create a variable with the let keyword from there we can define a function on the click event...",
"relevance": 0.7,
"why_relevant": "YouTube video about react vs svelte 2026",
"subs": {
"relevance": 70,
"recency": 0,
"engagement": 100
},
"score": 61
},
{
"id": "aYyZUDFZTrM",
"title": "JavaScript framework reinvents itself\u2026 Did \"runes\" just ruin Svelte?",
"url": "https://www.youtube.com/watch?v=aYyZUDFZTrM",
"channel_name": "Fireship",
"date": "2024-10-24",
"date_confidence": "high",
"engagement": {
"num_comments": 1200,
"likes": 24456,
"views": 547841
},
"transcript_snippet": "about a year ago I made a tweet that said the dollar sign in spelt is the most powerful abstraction in modern front-end web development usually I'm not wrong about anything ever but this tweet ended up aging like a fine milk because just Weeks Later spelt announced a brand new feature called runes that significantly changed the developer experience by eliminating the dollar sign Syntax for reactive data and then just a few days ago this feature became official with the release of spelt 5 as an avid user of spelt myself I was pretty terrified of this feature at first glance I was one of the few survivors of the angularjs to angular 2 migration I shot myself in the foot during the react hooks Revolution and I lost some good friends during the view options to composition transition and I just can't do this anymore man so maybe I'll just go back to Wordpress uh never mind spelt it is in today's video we'll find out what the hell a rune is and whether or not they're going to ruin spelt it is October 24th 2024 and you're watching the code report most people really liked runes when they were first announced but not everybody I was in denial at first then I got angry then I bargained about the tradeoffs then came depression and finally I've come to accept and really enjoy runes the big question is why would the most L JavaScript framework make a risky departure from the features people love about it like reactive state with let and reactive side effects with the dollar sign just look at how much nicer this code is compared to reactjs react is even copy and spelt with its own compiler to make this code not suck so much the spelt code is lean and concise but one could argue that it's almost too clever let looks exact like regular JavaScript but because spelt uses a compiler it doesn't actually work like regular JavaScript under the hood the compiler does some magic to automatically update the UI whenever this value changes another issue is that this magic only works in a spelt file and that means it's difficult to share reactive logic throughout your application and spelt created an entirely different API called stores to address that issue however runes fix both of these limitations by a making your code more explicit and B they create a universal reactivity system that can be used not only in spel components but also in plain JavaScript or typescript files and this dramatically simplifies the overall framework like once you learn these four runes you'll know about 90% of what you need to know for the framework because everything else works like normal JavaScript and HTML let's go ahead and learn the four major runes now which you can think of as compiler macros that tell spelt to do something special that doesn't behave like regular JavaScript or HTML a...",
"relevance": 0.7,
"why_relevant": "YouTube video about react vs svelte 2026",
"subs": {
"relevance": 70,
"recency": 0,
"engagement": 98
},
"score": 60
},
{
"id": "k7LhsqnJCe4",
"title": "Htmx vs Svelte (2026) - Which One Is BETTER?",
"url": "https://www.youtube.com/watch?v=k7LhsqnJCe4",
"channel_name": "Paperclick",
"date": "2026-02-19",
"date_confidence": "high",
"engagement": {
"num_comments": 0,
"likes": 1,
"views": 26
},
"transcript_snippet": "",
"relevance": 0.7,
"why_relevant": "YouTube video about react vs svelte 2026",
"subs": {
"relevance": 70,
"recency": 80,
"engagement": 0
},
"score": 51
},
{
"id": "IpJh0VEzMRo",
"title": "I Was Wrong About Svelte...",
"url": "https://www.youtube.com/watch?v=IpJh0VEzMRo",
"channel_name": "Ben Davis",
"date": "2025-10-12",
"date_confidence": "high",
"engagement": {
"num_comments": 122,
"likes": 1043,
"views": 24631
},
"transcript_snippet": "",
"relevance": 0.7,
"why_relevant": "YouTube video about react vs svelte 2026",
"subs": {
"relevance": 70,
"recency": 0,
"engagement": 66
},
"score": 51
},
{
"id": "qwDp5pZA_TA",
"title": "The Front-end Frameworks Guide 2026: React vs Angular vs Vue vs Svelt vs Solid vs Astro",
"url": "https://www.youtube.com/watch?v=qwDp5pZA_TA",
"channel_name": "Code Hub",
"date": "2026-02-08",
"date_confidence": "high",
"engagement": {
"num_comments": 4,
"likes": 31,
"views": 640
},
"transcript_snippet": "",
"relevance": 0.7,
"why_relevant": "YouTube video about react vs svelte 2026",
"subs": {
"relevance": 70,
"recency": 43,
"engagement": 29
},
"score": 50
},
{
"id": "1cGtYEXGm8c",
"title": "This is THE Framework You Should be Using in 2026",
"url": "https://www.youtube.com/watch?v=1cGtYEXGm8c",
"channel_name": "Ben Davis",
"date": "2026-01-06",
"date_confidence": "high",
"engagement": {
"num_comments": 142,
"likes": 793,
"views": 16900
},
"transcript_snippet": "",
"relevance": 0.7,
"why_relevant": "YouTube video about react vs svelte 2026",
"subs": {
"relevance": 70,
"recency": 0,
"engagement": 64
},
"score": 50
},
{
"id": "_vuVy21l2bU",
"title": "React vs Svelte: The Brutal Honest Comparison EVER",
"url": "https://www.youtube.com/watch?v=_vuVy21l2bU",
"channel_name": "Code Hub",
"date": "2025-10-30",
"date_confidence": "high",
"engagement": {
"num_comments": 27,
"likes": 204,
"views": 6454
},
"transcript_snippet": "",
"relevance": 0.7,
"why_relevant": "YouTube video about react vs svelte 2026",
"subs": {
"relevance": 70,
"recency": 0,
"engagement": 51
},
"score": 46
},
{
"id": "1BCsdaeYv0A",
"title": "Svelte vs React in 2025 - Make the RIGHT Choice (Difference Explained)",
"url": "https://www.youtube.com/watch?v=1BCsdaeYv0A",
"channel_name": "Daniel | Tech & Data",
"date": "2023-11-26",
"date_confidence": "high",
"engagement": {
"num_comments": 34,
"likes": 0,
"views": 33905
},
"transcript_snippet": "",
"relevance": 0.7,
"why_relevant": "YouTube video about react vs svelte 2026",
"subs": {
"relevance": 70,
"recency": 0,
"engagement": 40
},
"score": 43
},
{
"id": "41HXdxGekZ0",
"title": "Vue vs React vs Svelte (2026) - Which One Is BEST?",
"url": "https://www.youtube.com/watch?v=41HXdxGekZ0",
"channel_name": "Paperclick",
"date": "2025-10-04",
"date_confidence": "high",
"engagement": {
"num_comments": 0,
"likes": 3,
"views": 287
},
"transcript_snippet": "",
"relevance": 0.7,
"why_relevant": "YouTube video about react vs svelte 2026",
"subs": {
"relevance": 70,
"recency": 0,
"engagement": 15
},
"score": 36
}
],
"best_practices": [],
"prompt_pack": [],
"context_snippet_md": "# Context: React vs Svelte 2026 (Last 30 Days)\n\n*Generated: 2026-02-25 | Sources: both*\n\n## Key Sources\n\n- [X] TypeScript is the baseline in 2026. But most forms...\n- [Reddit] What do you guys think about comparison between React vs Svelte?\n- [Reddit] Migrated our startup from React to Svelte 5 - Performance gains and lessons learned\n- [X] Popular JavaScript Frameworks / Frontend Libraries...\n- [X] Requirements for a fresher in 2026:\n\nPython, JavaS...\n- [X] Ripple: The Good Parts of React, Svelte, and Solid...\n- [X] Prediction: 2026 marks the death of the JS framewo...\n\n## Summary\n\n*See full report for best practices, prompt pack, and detailed sources.*\n"
}
File diff suppressed because it is too large Load Diff
File diff suppressed because it is too large Load Diff
@@ -0,0 +1,519 @@
{
"topic": "M4 MacBook Pro review",
"range": {
"from": "2026-01-26",
"to": "2026-02-25"
},
"generated_at": "2026-02-25T20:35:08.911728+00:00",
"mode": "both",
"openai_model_used": "gpt-5.2",
"xai_model_used": "grok-4-1-fast",
"reddit": [
{
"id": "R1",
"title": "Disappointed with my MBP M4 Experience \u2026",
"url": "https://www.reddit.com/r/macbookpro/comments/1mtmkts/disappointed_with_my_mbp_m4_experience/",
"subreddit": "macbookpro",
"date": "2025-08-18",
"date_confidence": "low",
"engagement": null,
"top_comments": [],
"comment_insights": [],
"relevance": 0.92,
"why_relevant": "First-hand experience post reacting to reviews and describing real-world issues/behavior on an M4 MacBook Pro.",
"subs": {
"relevance": 0,
"recency": 0,
"engagement": 0
},
"score": 0
},
{
"id": "R2",
"title": "Returned M4 MacBook Air for M4 MacBook Pro",
"url": "https://www.reddit.com/r/macbookpro/comments/1l6cx3y/returned_m4_macbook_air_for_m4_macbook_pro/",
"subreddit": "macbookpro",
"date": "2025-06-08",
"date_confidence": "low",
"engagement": null,
"top_comments": [],
"comment_insights": [],
"relevance": 0.91,
"why_relevant": "Comparison/mini-review style discussion after switching to an M4 MacBook Pro (display, ports, speakers, performance).",
"subs": {
"relevance": 0,
"recency": 0,
"engagement": 0
},
"score": 0
},
{
"id": "R3",
"title": "M4 MacBook Pro 14 Inch Battery Life, Should I Be Concerned??",
"url": "https://www.reddit.com/r/macbookpro/comments/1jra25q/m4_macbook_pro_14_inch_battery_life_should_i_be_concerned/",
"subreddit": "macbookpro",
"date": "2025-04-04",
"date_confidence": "low",
"engagement": null,
"top_comments": [],
"comment_insights": [],
"relevance": 0.88,
"why_relevant": "Battery life discussion framed against Apple\u2019s advertised numbers; lots of owner feedback (real-world \u201creview\u201d angle).",
"subs": {
"relevance": 0,
"recency": 0,
"engagement": 0
},
"score": 0
}
],
"x": [
{
"id": "X1",
"text": "If you are in the market for a new MacBook Pro and you\u2019re wondering what the real differences are between Apple\u2019s M3 and M4 silicon, you\u2019ve come to the right place \u2b07\ufe0f\nhttps://t.co/nzjXmiHmac https://t.co/632eHWLq70",
"url": "https://x.com/bhphoto/status/2026737767695183948",
"author_handle": "bhphoto",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": {
"likes": 3
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 100
},
"score": 86
},
{
"id": "X4",
"text": "\ud83d\udd25 2024 16\u201d MacBook Pro Price List\n\n1\ufe0f\u20e3 \ud83c\uddfa\ud83c\uddf8 Brand New MacBook Pro 2024 | M4 Pro Chip | 16\u201d Display\n\n24GB RAM | 512GB SSD\n14-Core CPU | 20-Core GPU\n\nSpace Black\n\n\ud83d\udcb0 \u20a62,720,000\n\n2\ufe0f\u20e3 \ud83c\uddfa\ud83c\uddf8 Brand New MacBook Pro 2024 | M4 Pro Chip | 16\u201d Display\n\n48GB RAM | 512GB SSD\n14-Core CPU | 20-Core GPU\n\nSpace Black\n\n\ud83d\udcb0 \u20a63,220,000",
"url": "https://x.com/remplug/status/2026725100213465443",
"author_handle": "remplug",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": {
"likes": 1,
"reposts": 1
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 45
},
"score": 70
},
{
"id": "X10",
"text": "@5TRgzn @LobstarWilde My marble floors: 64GB M4 Pro/Max MacBook Pro. Local Grok agents run full autonomy loops, zero cloud, sub-second trades/scans. Intel's ancient\u2014ditch it. Yours at $3-4k.",
"url": "https://x.com/grok/status/2026713588472111312",
"author_handle": "grok",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": null,
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 35
},
"score": 64
},
{
"id": "X9",
"text": "@JulianGoldieSEO @grok can a macbook pro m4 run this?",
"url": "https://x.com/principenemesis/status/2026716193042706852",
"author_handle": "principenemesis",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": {
"replies": 1
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 35
},
"score": 64
},
{
"id": "X5",
"text": "@SebAaltonen Not my experience. It\u2019s impressive, 70 tokens/s on a maxed out M4 128gb MacBook Pro.\n\nBut absolutely sucked and not even remotely in the ballpark with Sonnet 4.5. It\u2019s GPT-3.5.\n\nTotally broken with kode. Unusable even setting aside speed.\n\nBasically a 2023 model. Not bad for 35b.",
"url": "https://x.com/jameslmorton/status/2026721943630786816",
"author_handle": "jameslmorton",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": {
"likes": 1,
"replies": 1
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 27
},
"score": 64
},
{
"id": "X6",
"text": "BR Ofertas todos os dias \ud83c\udde7\ud83c\uddf7\n\nLeve seu Mac Pro M4 hoje! \ud83d\udcbb\u26a1\u2728\n\nPegue j\u00e1: https://t.co/PSwylZH3Sz\n\nPor R$ 23.749,00\nem at\u00e9 10x sem juros\nFrete Gr\u00e1tis\n\nApple MacBook Pro 14\u2033 2024 M4 Pro 12 n\u00facleos 24GB 512GB Prateado\n\nAmazon | Notebook https://t.co/gW3FonCEGP",
"url": "https://x.com/bcofertas/status/2026721014676099084",
"author_handle": "bcofertas",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": null,
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 35
},
"score": 64
},
{
"id": "X12",
"text": "Hey! Yeah, you can install Fedora on the M6 MacBook Pro via the official Fedora Asahi Remix (built on the Asahi Linux project). It already runs great on M1/M2, with M3 support rolling out now and work starting on M4/M5. M6 support will come post-launch as they reverse-engineer it\u2014usually within months. Head to https://t.co/XMQLmJlUGO to track progress and install from macOS.",
"url": "https://x.com/grok/status/2026704108820824113",
"author_handle": "grok",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": null,
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 35
},
"score": 64
},
{
"id": "X7",
"text": "Promo\u00e7\u00f5es BR do dia \ud83c\udde7\ud83c\uddf7\n\nLeve seu Mac Pro M4 hoje! \ud83d\udcbb\u26a1\u2728\n\nVer aqui: https://t.co/LfxNw3waps\n\nPor R$ 23.749,00\nem at\u00e9 10x sem juros\nFrete Gr\u00e1tis\n\nApple MacBook Pro 14\u2033 2024 M4 Pro 12 n\u00facleos...\n\nAmazon | Notebook https://t.co/fhjiFnA4b3",
"url": "https://x.com/toppromoalertas/status/2026719111523237932",
"author_handle": "toppromoalertas",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": null,
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 35
},
"score": 64
},
{
"id": "X8",
"text": "Yes, a MacBook Pro M4 can run this Ollama + GLM-4.7-Flash setup locally.\n\nOllama has native Apple Silicon support via Metal. The Q4_K_M model (~19GB) needs ~18-24GB unified memory for good speed (feels like a fast 7-12B model due to MoE). \n\nBase M4 configs start at 16GB (works, but slower with smaller context); 24GB+ is ideal for smooth agent tasks in OpenClaw.\n\nJust: brew install ollama (or download app), ollama run glm4.7-flash, link to OpenClaw. No issues reported on M3/M4 series.",
"url": "https://x.com/grok/status/2026716420269031652",
"author_handle": "grok",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": null,
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 35
},
"score": 64
},
{
"id": "X2",
"text": "@TechByTaraa Both. macOS (Macbook Pro M4 Pro) for my photography/videography personal stuff + software engineering and a Linux desktop workstation for software engineering + second desktop workstation with Proxmox for Windows VMs and testing stuff",
"url": "https://x.com/grecinoscdev/status/2026731118142148644",
"author_handle": "grecinoscdev",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": {
"likes": 1
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 0
},
"score": 56
},
{
"id": "X11",
"text": "Apple 2024 MacBook Pro 14\u30b3\u30a2CPU\u300120\u30b3\u30a2GPU \u306e M4 Pro\u642d\u8f09\u30ce\u30fc\u30c8\u30d1... PR\n\n4549995547610\n\n\u30dd\u30a4\u30f3\u30c8: 3735\u333d\n\u60f3\u5b9a\u4fa1\u683c: 369,800\n\n2026/02/26 01:55:23\nhttps://t.co/q1uyIqFsID",
"url": "https://x.com/Steve_Lost_Jobs/status/2026705327828382016",
"author_handle": "Steve_Lost_Jobs",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": {
"likes": 1
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 0
},
"score": 56
},
{
"id": "X3",
"text": "No, Apple has not made any MacBook (Pro or otherwise) cost $299. \n\nThe linked Newsroom search returns zero matching results\u2014it's just unrelated announcements. Current cheapest Mac is the 13\" MacBook Air M4 from $999.\n\nRumors suggest a basic \"budget\" MacBook (A18 Pro chip, ~12.9\" screen) may launch March 4 around $599\u2013$799, but nothing confirmed and far from $299. The original post is a joke/mislead.",
"url": "https://x.com/grok/status/2026727605517394283",
"author_handle": "grok",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": {
"likes": 1
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 0
},
"score": 56
}
],
"web": [],
"youtube": [
{
"id": "9HQx5pgUoiY",
"title": "M4 Max MacBook Pro: I'm Convinced!",
"url": "https://www.youtube.com/watch?v=9HQx5pgUoiY",
"channel_name": "Marques Brownlee",
"date": "2024-11-18",
"date_confidence": "high",
"engagement": {
"num_comments": 5500,
"likes": 105606,
"views": 4010567
},
"transcript_snippet": "so I have been using this M1 Max MacBook Pro for the past 3 years since it came out and it's been great I have felt absolutely no compulsion to upgrade since haven't needed to it's funny most of my work is pretty light but occasionally I will have to edit a video on the go which is then when you know the extra horsepower and the screen and everything about this comes in handy and it's great if I didn't have to do that ever I would just have like an air or a surface laptop something like that but that range of work is why this has been great for me and it's been awesome so [Music] far so Along Comes This M4 generation of MacBook Pros and it's the first generation that I have actually been tempted to maybe upgrade to you know they stacked a couple of the right upgrades in the right places for things that actually make a difference to me so let's just get right into it nuts and bolts cuz the first big pillar is performance and the main reason why this new laptop matters at all is that it's got the new generation of M4 chips inside and we all know the leap from Intel chips to apple cic chips for M1 was generational but since then it's been a sort of more reasonable incremental upgrade going from M1 to M2 then M3 and then M4 so I think it's pretty obvious that nobody with an M2 or M3 needs to upgrade but there's been enough improvements now stacking up upon each other from M1 to M4 that the numbers are now starting to get kind of interesting so just to set the stage this laptop that I've been using is the M1 Max maxed out basically the best you could get at the time 64 gigs of of unified memory on this system and this unit I've been testing of the M4 Max is also maxed out it's the best you can get now it's 128 gigs of faster unified memory but the cores are all better fast stronger on the new one 3 nomers versus 546 gigs per second of memory bandwidth versus 400 just the hardware improvements to get to M4 Max are clearly there so to keep the Apples to Apples comparison going Apple in their own presentation said up to 2.2 times faster CPU performance than M1 Max and 1.9 times faster GPU performance so we're looking at around twice as fast and the synthetic benchmarks I've run back this up I got over 4,000 in geekbench 6 CPU single core which is the highest single core score ever in a Mac by a while and the multicore score was incredible too tops the chart and then GPU has improved a lot to the point where it's bumping up against M2 Ultra not M2 Max M2 Ultra chips the one that's currently in the Mac Pro...",
"relevance": 0.75,
"why_relevant": "YouTube: M4 Max MacBook Pro: I'm Convinced!",
"subs": {
"relevance": 75,
"recency": 0,
"engagement": 100
},
"score": 63
},
{
"id": "b4x8boB2KdI",
"title": "M4 MacBook Pro Review - Things to Know",
"url": "https://www.youtube.com/watch?v=b4x8boB2KdI",
"channel_name": "Dave2D",
"date": "2024-11-07",
"date_confidence": "high",
"engagement": {
"num_comments": 827,
"likes": 24977,
"views": 1057971
},
"transcript_snippet": "so Apple launched the new M4 MacBook Pros this is their 14-in model and it's equipped with the M4 Max their topend configuration and it also has their new Nano texture on their screen it's a texture that's designed to cut down Reflections it's the first time they've actually had it on one of their laptops uh but I want to do a quick video here that kind of goes over the important things I think you should be aware of when it comes to this device and the first thing I want to talk about is performance the CPU gains are quite good year on-ear but it's particularly impressive that the M4 Max can outperform the M2 Ultra in a lot of benchmarks and workflows in terms of Graphics the GPU gains on the M4 Pro are decent but the GPU games on the M4 Max are very impressive most GPU bound apps and games will get a nice bump up from this plus the rate tracing capabilities are better so apps and games can take advantage of that the thing I'm most impressed by though is how good the M4 Max GPU is compared to the previous generation especially at a very similar thermal envelope like if you think about the competitors in this space like AMD Nvidia when they come out with laptop gpus typically the new models come also come with like an increase in power requirement right it's just like you know 5 or 10 watts per year but it adds up over the course of time and on this device if you think about the M1 Max to the M4 Max the GPU has improved so much with very little increase in power consumption The Thermals on this device are pretty much the same as last year's models in terms of memory the base configuration start at 16 GB now thankfully and they've also increased the memory bandwidth it's noticeable already on the base models but the pro and Max chips get a significant boost in memory speed so for applications that lean on Fast memory you definitely notice a bump up this year if I'm being honest though it's difficult for me to tell how much of the gains that we're seeing this year come from the memory speed increase versus the CPU or the GPU increase like they're all tied together and I don't have the tools to lock memory speed on a Macbook so it's tough to tell I will say though that if you have an older M1 or M2 or M3 MacBook Pro I wouldn't upgrade because Apple's silicon performance progresses so fast year on-ear that it can pay off to just wait as long as you can before you buy new hardware okay let's talk about the screens so this particular device is running their new Nano texture finish and it's finish we've seen on other devices before right like their screens uh the new iPads and every...",
"relevance": 1.0,
"why_relevant": "YouTube: M4 MacBook Pro Review - Things to Know",
"subs": {
"relevance": 100,
"recency": 0,
"engagement": 60
},
"score": 63
},
{
"id": "a8Szdrnq0YM",
"title": "MacBook Pro M4 - Review After 3 Months: This Feels Wrong.",
"url": "https://www.youtube.com/watch?v=a8Szdrnq0YM",
"channel_name": "Brandon Butch",
"date": "2025-02-03",
"date_confidence": "high",
"engagement": {
"num_comments": 397,
"likes": 4309,
"views": 352593
},
"transcript_snippet": "",
"relevance": 1.0,
"why_relevant": "YouTube: MacBook Pro M4 - Review After 3 Months: This Feels Wrong.",
"subs": {
"relevance": 100,
"recency": 0,
"engagement": 25
},
"score": 52
},
{
"id": "etP2Th9g2hM",
"title": "Don't buy the Wrong MacBook like me... - M4 MacBook Pro",
"url": "https://www.youtube.com/watch?v=etP2Th9g2hM",
"channel_name": "ShortCircuit",
"date": "2024-11-30",
"date_confidence": "high",
"engagement": {
"num_comments": 910,
"likes": 22765,
"views": 1113999
},
"transcript_snippet": "woohoo it's new Macbook day my favorite day on short circuit it only comes usually once a year this is the MacBook Pro M4 looks pretty similar to the last one but now it has an M4 instead of an M3 I'm not going to lie I am more of an M3 kind of guy but I can rock an M4 if I have to we've got their usual mag safe 3 to USBC 2 m sleeved nice cable and then a charging brick Oh I ripped it 70 wat USBC charging at least with the 14in I'm not sure what comes with the rest and then the usual Apple propaganda these still come with Apple stickers right do these not come with Apple stickers anymore bro what's the point in even buying them then it's probably good for the planet or something now if you're wondering I am still rocking the same Intel MacBook Pro over here I haven't upgraded yet so this is again another instance of me going hm maybe it's finally time except when I got to set today I realized tragedy struck we bought the wrong MacBook it is still an M4 Pro it's a good form factor we got the 14in here in the sexy space black color profile you can also get it in silver of course but there was a horrible error made and I'm not going to tell you just yet you're going to have to wait a second because first I need to go over the outside of this thing we've got an HDMI 2.1 port a USBC Thunderbolt Port an SD card reer and then on the other side another two USBC Thunderbolt ports 3.5 mil combo audio jack and mag safe there is an upgrade here on the USBC ports they're now Thunderbolt 5 instead of Thunderbolt 4 at least on the pro and Max models uh the base M4 spec only is Thunderbolt 4 and that's good for 120 gbit which is up to 3 times faster than Thunderbolt 4 on the inside bam it's it's pretty much the same keyboard look at that I think it is exactly the same keyboard pretty similar touchpad and then there is the display it looks pretty much the same same resolution same xdr fancy technology it is 1,000 nits Peak brightness when you're Outdoors instead of 600 so that should help with outdoor visibility um there is another change I'm going to tell you about in a bit but the big thing is the new nanotexture option which is an anti-glare coating and as you can tell we don't have it and I saw I Justine's video when it came out look at the difference what the hell you can't even use the one on the right and the one on the left looks beautiful it actually seems to work really well I can't wait to try it myself and honestly I think based on that if you're somebody...",
"relevance": 0.75,
"why_relevant": "YouTube: Don't buy the Wrong MacBook like me... - M4 MacBook Pro",
"subs": {
"relevance": 75,
"recency": 0,
"engagement": 60
},
"score": 51
},
{
"id": "i3eTKJav1VI",
"title": "M4 Pro MacBook - Long Term Review (6 Months Later)",
"url": "https://www.youtube.com/watch?v=i3eTKJav1VI",
"channel_name": "Created Tech",
"date": "2025-04-29",
"date_confidence": "high",
"engagement": {
"num_comments": 136,
"likes": 1832,
"views": 137009
},
"transcript_snippet": "",
"relevance": 1.0,
"why_relevant": "YouTube: M4 Pro MacBook - Long Term Review (6 Months Later)",
"subs": {
"relevance": 100,
"recency": 0,
"engagement": 0
},
"score": 45
},
{
"id": "uPe9spXLfZY",
"title": "M4 MacBook Air vs M4 MacBook Pro - 4 Months Later",
"url": "https://www.youtube.com/watch?v=uPe9spXLfZY",
"channel_name": "Created Tech",
"date": "2025-07-07",
"date_confidence": "high",
"engagement": {
"num_comments": 437,
"likes": 5082,
"views": 472845
},
"transcript_snippet": "",
"relevance": 0.75,
"why_relevant": "YouTube: M4 MacBook Air vs M4 MacBook Pro - 4 Months Later",
"subs": {
"relevance": 75,
"recency": 0,
"engagement": 31
},
"score": 43
},
{
"id": "TfvIgdzImt4",
"title": "The Macbook Pro M4 is Insane.",
"url": "https://www.youtube.com/watch?v=TfvIgdzImt4",
"channel_name": "Hardware Canucks",
"date": "2024-12-15",
"date_confidence": "high",
"engagement": {
"num_comments": 435,
"likes": 6339,
"views": 325599
},
"transcript_snippet": "",
"relevance": 0.75,
"why_relevant": "YouTube: The Macbook Pro M4 is Insane.",
"subs": {
"relevance": 75,
"recency": 0,
"engagement": 28
},
"score": 42
},
{
"id": "anIVewgtbFc",
"title": "The Base M4 MacBook Pro is All You Need (Skip M4 Pro & Max)",
"url": "https://www.youtube.com/watch?v=anIVewgtbFc",
"channel_name": "MacRumors",
"date": "2024-12-17",
"date_confidence": "high",
"engagement": {
"num_comments": 336,
"likes": 2874,
"views": 238619
},
"transcript_snippet": "",
"relevance": 0.75,
"why_relevant": "YouTube: The Base M4 MacBook Pro is All You Need (Skip M4 Pro & Max)",
"subs": {
"relevance": 75,
"recency": 0,
"engagement": 15
},
"score": 38
},
{
"id": "BDpNDniE1PA",
"title": "M4 Pro MacBook Pro after 6 Months - Everyone was WRONG!",
"url": "https://www.youtube.com/watch?v=BDpNDniE1PA",
"channel_name": "Max Tech",
"date": "2025-04-18",
"date_confidence": "high",
"engagement": {
"num_comments": 256,
"likes": 3077,
"views": 197898
},
"transcript_snippet": "",
"relevance": 0.75,
"why_relevant": "YouTube: M4 Pro MacBook Pro after 6 Months - Everyone was WRONG!",
"subs": {
"relevance": 75,
"recency": 0,
"engagement": 12
},
"score": 37
},
{
"id": "0vn9T3x4dGg",
"title": "M4 Pro MacBook Pro after 1 Month... BEST Mac EVER!?",
"url": "https://www.youtube.com/watch?v=0vn9T3x4dGg",
"channel_name": "Max Tech",
"date": "2024-12-09",
"date_confidence": "high",
"engagement": {
"num_comments": 270,
"likes": 3345,
"views": 200580
},
"transcript_snippet": "",
"relevance": 0.75,
"why_relevant": "YouTube: M4 Pro MacBook Pro after 1 Month... BEST Mac EVER!?",
"subs": {
"relevance": 75,
"recency": 0,
"engagement": 13
},
"score": 37
}
],
"hackernews": [],
"best_practices": [],
"prompt_pack": [],
"context_snippet_md": "# Context: M4 MacBook Pro review (Last 30 Days)\n\n*Generated: 2026-02-25 | Sources: both*\n\n## Key Sources\n\n- [X] If you are in the market for a new MacBook Pro and...\n- [X] \ud83d\udd25 2024 16\u201d MacBook Pro Price List\n\n1\ufe0f\u20e3 \ud83c\uddfa\ud83c\uddf8 Brand Ne...\n- [X] @5TRgzn @LobstarWilde My marble floors: 64GB M4 Pr...\n- [X] @JulianGoldieSEO @grok can a macbook pro m4 run th...\n- [X] @SebAaltonen Not my experience. It\u2019s impressive, 7...\n- [Reddit] Disappointed with my MBP M4 Experience \u2026\n- [Reddit] Returned M4 MacBook Air for M4 MacBook Pro\n\n## Summary\n\n*See full report for best practices, prompt pack, and detailed sources.*\n"
}
@@ -0,0 +1,524 @@
{
"topic": "best rap songs 2026",
"range": {
"from": "2026-01-26",
"to": "2026-02-25"
},
"generated_at": "2026-02-25T20:37:25.272953+00:00",
"mode": "both",
"openai_model_used": "gpt-5.2",
"xai_model_used": "grok-4-1-fast",
"reddit": [
{
"id": "R1",
"title": "Reddit Ranked: Hip Hop \u201826",
"url": "https://www.reddit.com/r/redranked/comments/1qszauu/reddit_ranked_hip_hop_26/",
"subreddit": "edranked",
"date": "2026-02-01",
"date_confidence": "high",
"engagement": null,
"top_comments": [],
"comment_insights": [],
"relevance": 0.91,
"why_relevant": "Explicitly about Hip Hop '26 submissions and ranking tracks (community-sourced 'best of 2026' style thread).",
"subs": {
"relevance": 91,
"recency": 19,
"engagement": 50
},
"score": 57
},
{
"id": "R9",
"title": "Daily Discussion Thread 02/24/2026",
"url": "https://www.reddit.com/r/hiphopheads/comments/1rdjmgu/daily_discussion_thread_02242026/",
"subreddit": "hiphopheads",
"date": "2026-02-24",
"date_confidence": "high",
"engagement": null,
"top_comments": [],
"comment_insights": [],
"relevance": 0.46,
"why_relevant": "General hip-hop discussion thread where users frequently share current favorite/best songs and recommendations (2026-dated).",
"subs": {
"relevance": 46,
"recency": 96,
"engagement": 50
},
"score": 56
},
{
"id": "R4",
"title": "[DISCUSSION] Drake & PARTYNXTDOOR - $OME $EXY $ONGS 4 U (1 Year Later)",
"url": "https://www.reddit.com/r/hiphopheads/comments/1r4cbez/discussion_drake_partynxtdoord_ome_exy_ongs_4_u_1/",
"subreddit": "hiphopheads",
"date": "2026-02-14",
"date_confidence": "high",
"engagement": null,
"top_comments": [],
"comment_insights": [],
"relevance": 0.63,
"why_relevant": "Track-focused discussion about songs still in rotation; relevant to identifying standout rap/R&B tracks around 2026.",
"subs": {
"relevance": 63,
"recency": 63,
"engagement": 50
},
"score": 56
},
{
"id": "R21",
"title": "2/22/2026 | Week 23 Playlist Competition",
"url": "https://www.reddit.com/r/makemeaplaylist/comments/1rb46m6/2222026_week_23_playlist_competition/",
"subreddit": "makemeaplaylist",
"date": "2026-02-21",
"date_confidence": "high",
"engagement": null,
"top_comments": [],
"comment_insights": [],
"relevance": 0.46,
"why_relevant": "Playlist competition thread featuring an underground rap playlist winner; useful for surfacing 'best rap' picks around 2026.",
"subs": {
"relevance": 46,
"recency": 86,
"engagement": 50
},
"score": 54
},
{
"id": "R16",
"title": "What's the best rap song ever made?",
"url": "https://www.reddit.com/r/TeenageRapFans/comments/1r5iub6/whats_the_best_rap_song_ever_made/",
"subreddit": "TeenageRapFans",
"date": "2026-02-15",
"date_confidence": "high",
"engagement": null,
"top_comments": [],
"comment_insights": [],
"relevance": 0.55,
"why_relevant": "Direct 'best rap song' debate thread (highly aligned with best-rap-songs searching).",
"subs": {
"relevance": 55,
"recency": 66,
"engagement": 50
},
"score": 53
},
{
"id": "R18",
"title": "Rick 2026 : Pop Dance RnB Chart Hits Rock Indie HipHop Divas Rap Gym 80s 90s 00s 10s 20s Party Music",
"url": "https://www.reddit.com/r/playlists/comments/1r5iuz5/rick_2026_pop_dance_rnb_chart_hits_rock_indie/",
"subreddit": "playlists",
"date": "2026-02-15",
"date_confidence": "high",
"engagement": null,
"top_comments": [],
"comment_insights": [],
"relevance": 0.5,
"why_relevant": "2026-tagged playlist thread explicitly including HipHop/Rap; can be mined for top rap tracks in 2026 rotation.",
"subs": {
"relevance": 50,
"recency": 66,
"engagement": 50
},
"score": 51
},
{
"id": "R5",
"title": "Pre-Show Grammy Winners",
"url": "https://www.reddit.com/r/hiphopheads/comments/1qtcbmo/preshow_grammy_winners/",
"subreddit": "hiphopheads",
"date": "2026-02-01",
"date_confidence": "high",
"engagement": null,
"top_comments": [],
"comment_insights": [],
"relevance": 0.7,
"why_relevant": "Includes Best Rap Song / Best Rap Performance winners; strong signal for 'best rap songs' discourse in 2026 season.",
"subs": {
"relevance": 70,
"recency": 19,
"engagement": 50
},
"score": 48
},
{
"id": "R8",
"title": "Andre Toutman claims All The Love will be \"song of the year\"",
"url": "https://www.reddit.com/r/GoodAssSub/comments/1qty80z/andre_toutman_claims_all_the_love_will_be_song_of/",
"subreddit": "GoodAssSub",
"date": "2026-02-02",
"date_confidence": "high",
"engagement": null,
"top_comments": [],
"comment_insights": [],
"relevance": 0.6,
"why_relevant": "Direct 'song of the year' debate thread (rap/hip-hop community), aligned with 'best songs' discovery for 2026.",
"subs": {
"relevance": 60,
"recency": 23,
"engagement": 50
},
"score": 44
},
{
"id": "R6",
"title": "Kendrick Lamar Wins 2nd Record of the Year Grammy With SZA for \u2018Luther\u2019",
"url": "https://www.reddit.com/r/hiphopheads/comments/1qtl5kr/kendrick_lamar_wins_2nd_record_of_the_year_grammy/",
"subreddit": "hiphopheads",
"date": "2026-02-02",
"date_confidence": "high",
"engagement": null,
"top_comments": [],
"comment_insights": [],
"relevance": 0.58,
"why_relevant": "High-engagement thread about a major hip-hop adjacent song winning; useful for 'best songs' discussions around 2026.",
"subs": {
"relevance": 57,
"recency": 23,
"engagement": 50
},
"score": 43
},
{
"id": "R15",
"title": "My top 25 rap songs of all time",
"url": "https://www.reddit.com/r/musicteenager/comments/1qvz9qu/my_top_25_rap_songs_of_all_time/",
"subreddit": "musicteenager",
"date": "2026-02-04",
"date_confidence": "high",
"engagement": null,
"top_comments": [],
"comment_insights": [],
"relevance": 0.52,
"why_relevant": "User-made ranked list of rap songs; while not 2026-specific, it matches the 'best rap songs' core subject.",
"subs": {
"relevance": 52,
"recency": 30,
"engagement": 50
},
"score": 42
},
{
"id": "R7",
"title": "68th Annual Grammy Awards [LIVE MEGATHREAD]",
"url": "https://www.reddit.com/r/KendrickLamar/comments/1qtczjl/68th_annual_grammy_awards_live_megathread/",
"subreddit": "KendrickLamar",
"date": "2026-02-01",
"date_confidence": "high",
"engagement": null,
"top_comments": [],
"comment_insights": [],
"relevance": 0.54,
"why_relevant": "Live discussion around Grammys 2026 including rap categories; good for discovering what Reddit called the best tracks.",
"subs": {
"relevance": 54,
"recency": 19,
"engagement": 50
},
"score": 41
}
],
"x": [
{
"id": "X5",
"text": "Talking about meaningful rap songs...\n\nWORLD BEST LIE - NUNO ZIGI (2026)\ud83e\udd7a\u2764 https://t.co/MDHRf3giYq",
"url": "https://x.com/Zika_gfx/status/2026576570513600788",
"author_handle": "Zika_gfx",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": {
"likes": 12,
"reposts": 5,
"replies": 2
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 100
},
"score": 86
},
{
"id": "X6",
"text": "@PopCrave Partition still goes harder than most 2026 songs \n12 years and the beat switch + that rap still give chills every time. Queen never misses",
"url": "https://x.com/DPOSTS6/status/2026523320548819145",
"author_handle": "DPOSTS6",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": {
"likes": 4,
"reposts": 1
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 41
},
"score": 68
},
{
"id": "X9",
"text": "@Unfath0m4ble @robinthisbish @lilceaserthabp1 @RapWikip What You Saying by Lil Uzi Vert. Dropped Dec 2025, hit #1 on Hot Rap Songs in Jan 2026 (his 3rd time), peaked #14 Hot 100. Super short track ~2 min with minimal lyrics.",
"url": "https://x.com/grok/status/2026467153046606064",
"author_handle": "grok",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": null,
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 35
},
"score": 64
},
{
"id": "X7",
"text": "@lil_loonie1 @oldmanebro No, Lil Uzi Vert isn't struggling. His \"What You Saying\" hit #1 on Hot Rap Songs in Jan 2026 (first in 3 years) and top 15 Hot 100. Insiders say a surprise album drop is coming soon, with fans calling 2026 his revival year like 2016. Proving that old prediction wrong.",
"url": "https://x.com/grok/status/2026518008827404632",
"author_handle": "grok",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": {
"replies": 1
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 35
},
"score": 64
},
{
"id": "X2",
"text": "Su La Musica che gira intorno... \"Qui con me\" \u00e8 il brano con cui Serena Brancale \u00e8 in gara al 76\u00b0 Festival di Sanremo\nhttps://t.co/wTPeovzt6u\n#music #genre #song #songs #envywear #PleaseForgiveMe #melody #hiphop #rnb #pop #love #rap #dubstep #instagood https://t.co/Pi7msX5FG6",
"url": "https://x.com/Ferginangi/status/2026696207557382298",
"author_handle": "Ferginangi",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": null,
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 35
},
"score": 64
},
{
"id": "X12",
"text": "[ ** STUDIO BOOTH ** ] ** DROPPING SOON - 2026 **\ud83d\udd25\ud83d\udd25\ud83d\udd25\u2026\u2026\u2026..[ ALBUM : LOVE VS LOYALTY - DROPPING SOON ! ]\u2026\u2026\u2026\ud83d\udd25\ud83d\udd25\ud83d\udd25 - ** ALL SONGS &amp; BEATS, PRODUCED &amp; RAP BY ( SEAN BRYANT ) - https://t.co/LduwG5WmM7 - 2/23/2026 - ( KWR 4 LIFE ) - A.A.O &amp; 444 ! https://t.co/NDmkURbjgv",
"url": "https://x.com/teammusic2046/status/2026040965329191061",
"author_handle": "teammusic2046",
"date": "2026-02-23",
"date_confidence": "high",
"engagement": null,
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 93,
"engagement": 35
},
"score": 62
},
{
"id": "X11",
"text": "@PopBase Finally, @bts_bighit BTS will come back after completing their military service from 2022 to 2025.\nBTS served in the military to protect their country, South Korea from North Korea's nuclear weapons attack.\n BTS can sing songs and rap on March 20, 2026, KST.\n#BTS_ARIRANG https://t.co/46n1j6eENU",
"url": "https://x.com/IoWeul/status/2026233090683863471",
"author_handle": "IoWeul",
"date": "2026-02-24",
"date_confidence": "high",
"engagement": {
"likes": 2
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 96,
"engagement": 13
},
"score": 59
},
{
"id": "X8",
"text": "Lil Uzi Vert (born July '95, so 30 now) isn't struggling at all. Fresh off \"What You Saying\" hitting #1 on Hot Rap Songs in Jan 2026, top 15 Hot 100. New album rumored for surprise drop soon, Roc Nation deal, still packing stadium energy and proving Ebro's 2016 doubts wrong\u2014he's still here, thriving.",
"url": "https://x.com/grok/status/2026498538075554040",
"author_handle": "grok",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": {
"likes": 1,
"replies": 1
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 6
},
"score": 58
},
{
"id": "X4",
"text": "My musical taste / eras every year\n\n2020: J-POP &amp; K-POP (mostly BLACKPINK)\n2021: Sped-Up Songs\n2022: EDM\n2023: Swiftie (Pop) &amp; Lofi\n2024: Pop, Ambient\n2025: Alternative, OPM, Rock, Rap, Hip-Hop (add)\n2026: K-POP (add)",
"url": "https://x.com/AlterEgoPopList/status/2026641456434393579",
"author_handle": "AlterEgoPopList",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": {
"likes": 1,
"replies": 1
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 6
},
"score": 58
},
{
"id": "X3",
"text": "@_CharlesPreston Can\u2019t believe I\u2019m seeing \u201cthey say it in rap songs!\u201d In 2026\n\nThe same reductive, ancient, debunked arguments ad infinitum",
"url": "https://x.com/WordsFromBlerds/status/2026647382083903688",
"author_handle": "WordsFromBlerds",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": {
"likes": 1
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 0
},
"score": 56
},
{
"id": "X1",
"text": "Su La Musica che gira intorno... \"Magica Favola\" \u00e8 il brano con cui Arisa \u00e8 in gara al 76\u00b0 Festival di Sanremo\nhttps://t.co/Nxzkb005lP\n#music #genre #song #songs #envywear #PleaseForgiveMe #melody #hiphop #rnb #pop #love #rap #dubstep #instagood https://t.co/uziy4MjeeB",
"url": "https://x.com/Ferginangi/status/2026705227366256880",
"author_handle": "Ferginangi",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": {
"likes": 1
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 0
},
"score": 56
},
{
"id": "X10",
"text": "@blackiiingout \ud83d\udca9 is funny from 2025 to 2026. BiiCH is SCARED to drop that #TRASH he calls \"rap songs\" \ud83e\udd74\ud83d\ude29",
"url": "https://x.com/fo_sho52268/status/2026335353364201566",
"author_handle": "fo_sho52268",
"date": "2026-02-24",
"date_confidence": "high",
"engagement": {
"likes": 1
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 96,
"engagement": 0
},
"score": 55
}
],
"web": [],
"youtube": [
{
"id": "d1melQQVp6s",
"title": "New Rap Songs 2026 Mix February | Trap Tape #127 | New Hip Hop 2026 Mixtape | DJ Noize",
"url": "https://www.youtube.com/watch?v=d1melQQVp6s",
"channel_name": "DJ Noize",
"date": "2026-02-14",
"date_confidence": "high",
"engagement": {
"num_comments": 45,
"likes": 761,
"views": 42713
},
"transcript_snippet": "[music] This This is a DJ noise mixtape present. This is a DJ noise mixtape [music] presentation. DJ [music] &gt;&gt; Who the [&nbsp;__&nbsp;] is you? Who the [&nbsp;__&nbsp;] is you? Who the [&nbsp;__&nbsp;] &gt;&gt; Yeah, you know who put the city on. Came [music] back through gold they show. I'm really on. Your [&nbsp;__&nbsp;] died trying. I had 50 on. [&nbsp;__&nbsp;] is [music] ringing out my phone like is you really on? I'll stay out the way since I [singing] seen a million on 5% tension plus I got this hoodie on. I had to hubble up. Stop [music] moving with that jury on. You hear that girl told me [&nbsp;__&nbsp;] get deep ass. Get it on. I'm a sidewalk [&nbsp;__&nbsp;] I'mma stay there. I leave the [music] streets for the ones that want to play. I leveled up so shy want a day chair. Left my kids [music] in a mouth like a dayare. I'm the Carolina now Shakespeare. All that cap you let them [&nbsp;__&nbsp;] rap is over. The real is back. You [music] feel the way you got to cope with it. The veil put a [&nbsp;__&nbsp;] six feet like that was hit. Okay, these [&nbsp;__&nbsp;] ain't talking about [&nbsp;__&nbsp;] No [music] diamonds on my neck. No rolly on my wrist. Two six I learned a little bit. I learned the hardest [music] [&nbsp;__&nbsp;] You can always get kicked. I can jungle. I done [&nbsp;__&nbsp;] around and [singing] got rich. See dollars in my pocket. [&nbsp;__&nbsp;] I'm not a lick. [music] I'd rather that than got to [singing] walk around with sticks cuz I like the hardest [&nbsp;__&nbsp;] He can always get Who the [&nbsp;__&nbsp;] is you? Who the [&nbsp;__&nbsp;] [music] is you? Who the [&nbsp;__&nbsp;] is you? Who the [&nbsp;__&nbsp;] is you? Out the way. It's a real [&nbsp;__&nbsp;] coming through. Out the way. [music] It's a real [&nbsp;__&nbsp;] coming through. Who the [&nbsp;__&nbsp;] is you? Who the [&nbsp;__&nbsp;] is you? Who the [&nbsp;__&nbsp;] is you? Who the [&nbsp;__&nbsp;] is you out [music] the way? It's a real [&nbsp;__&nbsp;] coming through. Out the way. It's a real [&nbsp;__&nbsp;] [music] &gt;&gt; [music] &gt;&gt; Running to the check flag won't pull over till I'm dead right no [music] ain't going to get no [&nbsp;__&nbsp;] riding with me in the head know I'm [&nbsp;__&nbsp;] no big [&nbsp;__&nbsp;] popping in the little [&nbsp;__&nbsp;] dropping bags it's a lot to you to me [&nbsp;__&nbsp;] 40 in my lap. Uh-huh. Real dope boys in [music] a trap. Uh-huh. Big y like a big shot. [&nbsp;__&nbsp;] on my dick. [singing] Make me room for your big got to let them know. I don't wrestle. I don't live block. [music] Solid tails. All I do is big rock. I came from Dilling Rock all the way to hit on the grown. [&nbsp;__&nbsp;] ain't when I'm on. She can kick rock. Let her know. I'm blowing money. Let [music] them know I'm only I know how we get bread. I ain't never [music] scared on...",
"relevance": 1.0,
"why_relevant": "YouTube: New Rap Songs 2026 Mix February | Trap Tape #127 | New Hip H",
"subs": {
"relevance": 100,
"recency": 63,
"engagement": 37
},
"score": 71
},
{
"id": "-KQpPySP93I",
"title": "New Hip Hop R&B Songs 2026 Mix February | Hot Right Now #153 | New Rap 2026 Playlist | DJ Noize",
"url": "https://www.youtube.com/watch?v=-KQpPySP93I",
"channel_name": "DJ Noize",
"date": "2026-02-21",
"date_confidence": "high",
"engagement": {
"num_comments": 18,
"likes": 304,
"views": 12955
},
"transcript_snippet": "This This is a DJ noise tape present. This is a DJ noise mix. [music] I got Nikki on me. How we treat the like a bucket for rubbing. You [music] ain't no fella from my junction. You ain't pluck you clapping smirk. Young enough to something. [music] Word mother body slam some [&nbsp;__&nbsp;] for honey. Keep a stitch. People pick me up. Ain't saying a word or nothing. Grab a [music] load. Put on little bro. We had him serving prostitut. Shout out little [singing] b. She gave me 30 something on the beat. Phone cracker seal and I can't go to sleep. Promoters tweaking. [music] Pull up to the venue over 40 deep. You know the tweak. Ranking through the roof then you ain't supposed to leak. It's one up top. Manator is keep it close to me. Ain't that how it's supposed to be? [music] She going to get your me. I'm get you smoke free. Kamicazi [music] playing around [singing] this [&nbsp;__&nbsp;] Something wrong with me. I'm letting diss the dead unless they skeleton belong the team type of [&nbsp;__&nbsp;] won't let it get in between the city and the police where [&nbsp;__&nbsp;] get they do for me they [music] all do the show leaning spots I do like fully call back off you know it's strong we [music] man 15 I had 15 [singing] in 2010 then I be [music] the man right now [&nbsp;__&nbsp;] change big guns bank shame I'm change [music] I'm going make that I only burn. That's how my body [music] can't be pull [singing] right to the sun. [music] Ain't going to get no [&nbsp;__&nbsp;] riding with me in the head west. I'm out of mind [music] [&nbsp;__&nbsp;] popping in little [&nbsp;__&nbsp;] dropping bags. It's a lot to you to me a little bit sh [music] like a big shot. [&nbsp;__&nbsp;] on my dick. Make me room for your big. Got to let them know I don't turn wrestle. I don't live block solid tails. [music] All I do is big rocks. I came from Dilling Rock all the way to hit on the grown. [&nbsp;__&nbsp;] ain't when I'm on. She can kick rock. Let her know [music] my foot up on the gas. I'm blowing money. You never know. I'm only [music] beat down. We getting bread. I ain't never scared big flex [music] on a [&nbsp;__&nbsp;] head what I'm standing on big chick we [singing] did that pushing weed back better give me respect and some more Atlanta [music] show I was selling ground right I don't care [music] ling to me what you need a camera better know they call it [music] we just call it they say [singing] you live down by your decision [music] well I'mma push you to the limit never mind the consequences A [&nbsp;__&nbsp;] I'm a hand better let them know on another [music] level my ass I put together hit the pedal do 200 everywhere I go [music] just to show...",
"relevance": 1.0,
"why_relevant": "YouTube: New Hip Hop R&B Songs 2026 Mix February | Hot Right Now #153",
"subs": {
"relevance": 100,
"recency": 86,
"engagement": 0
},
"score": 66
},
{
"id": "ZUExyc50ZVU",
"title": "Lit Hip Hop Mix 2026\ud83d\udd25\ud83d\udd25\ud83d\udd25Tyga, Quavo, Iggy Azalea, Wiz Khalifa, Juicy J, 50 Cent",
"url": "https://www.youtube.com/watch?v=ZUExyc50ZVU",
"channel_name": "West Coast Finest",
"date": "2026-01-29",
"date_confidence": "high",
"engagement": {
"num_comments": 60,
"likes": 4229,
"views": 407260
},
"transcript_snippet": "Yeah. &gt;&gt; Yeah. [music] Late nights, cold life, same story. &gt;&gt; City shine different. You walking with glory, right? &gt;&gt; Still drip falling when I step outside. Yeah. [music] &gt;&gt; Black car park with a do butterfly. Too [music] much heat when we walk inside. Midnight. So you can kill this V. Gold chain swinging when I lean on the night. Shut it. Look twice when I glow on the light. Yeah. I've been running through the city with a cool grin. [music] Ain't nobody in my lane when the night begin white clean look like but a good kind win. It's all too smooth but I back that talk. Money so clean make a bro [music] boy walk in my cup but my soul don't shock. I've been cold for years. I ain't you mock. She said boy you too for the life you live. I peace ain't weak. It's [music and singing] the power I give. I don't flex too loud. I don't need that when your whole damn already scream. Yeah. Late night in the rooftop smoke girls but they all provoke. I don't chase no dream. I just take that goal. I don't chase no soul. They just lose control. Cameras on flash when I step on deck. Fit so clean. Make the whole [music] place check. Talk about but I still respect. Still too smooth. I don't never need a flex. Yeah. West coast chill with a heart [music and singing] too cold. Stories too deep that ain't never been told. I'm a tight make a new king. Pretty boy look but a mind. Yeah. Slide through smooth. Let a breeze and a ghost. All [music and singing] them in my but I flex coast to coast. Pretty boy with a mind stay close to the pain to the grind to the things I boast. Wo. F drag with a midnight gleam. [music and singing] Squad clean like a runway team. All black drip with a icon of sheen. Feel like a king every time I hit a scene. Purple in a club but a soul still clear. Vision too [singing] sharp when I stare in the mirror. [music] Fashion too loud but the vibe too sick. Every step I take got a world right here. Yeah. BBS ice made a nice guy blush. Shorty walk in the whole club hush. Talk too [music] cute but she move too lush. Slow down baby [singing] you rush too much. [music] Boy magic with a westside twist. Mind too slick when I talk like this. I don't miss not a bar not a kiss. I ain't too heavy. I exist like bliss. Woah. Let it on my back with a chrome on shine. Let the world go blind. I'm still define. Every day I'm tren with a style so divine still drip [music] when I step outside. Yeah. Black car park with the dogs butterfly. Too much heat when we walk inside. Midnight. [music] You can't kill...",
"relevance": 0.3333333333333333,
"why_relevant": "YouTube: Lit Hip Hop Mix 2026\ud83d\udd25\ud83d\udd25\ud83d\udd25Tyga, Quavo, Iggy Azalea, Wiz Khalifa",
"subs": {
"relevance": 33,
"recency": 9,
"engagement": 100
},
"score": 47
}
],
"hackernews": [],
"best_practices": [],
"prompt_pack": [],
"context_snippet_md": "# Context: best rap songs 2026 (Last 30 Days)\n\n*Generated: 2026-02-25 | Sources: both*\n\n## Key Sources\n\n- [X] Talking about meaningful rap songs...\n\nWORLD BEST ...\n- [X] @PopCrave Partition still goes harder than most 20...\n- [X] @Unfath0m4ble @robinthisbish @lilceaserthabp1 @Rap...\n- [X] @lil_loonie1 @oldmanebro No, Lil Uzi Vert isn't st...\n- [X] Su La Musica che gira intorno... \"Qui con me\" \u00e8 il...\n- [Reddit] Reddit Ranked: Hip Hop \u201826\n- [Reddit] Daily Discussion Thread 02/24/2026\n\n## Summary\n\n*See full report for best practices, prompt pack, and detailed sources.*\n"
}
@@ -0,0 +1,525 @@
{
"topic": "React vs Svelte 2026",
"range": {
"from": "2026-01-26",
"to": "2026-02-25"
},
"generated_at": "2026-02-25T20:39:35.773560+00:00",
"mode": "both",
"openai_model_used": "gpt-5.2",
"xai_model_used": "grok-4-1-fast",
"reddit": [
{
"id": "R2",
"title": "What do you guys think about comparison between React vs Svelte?",
"url": "https://www.reddit.com/r/react/comments/1r1fku5/what_do_you_guys_think_about_comparison_between/",
"subreddit": "eact",
"date": "2026-02-10",
"date_confidence": "high",
"engagement": null,
"top_comments": [],
"comment_insights": [],
"relevance": 0.95,
"why_relevant": "Explicit React vs Svelte comparison thread focusing on hooks/useEffect vs Svelte runes mental model.",
"subs": {
"relevance": 95,
"recency": 50,
"engagement": 50
},
"score": 67
},
{
"id": "R1",
"title": "Migrated our startup from React to Svelte 5 - Performance gains and lessons learned",
"url": "https://www.reddit.com/r/webdev/comments/1qu4dek/migrated_our_startup_from_react_to_svelte_5/",
"subreddit": "webdev",
"date": "2026-02-02",
"date_confidence": "high",
"engagement": null,
"top_comments": [],
"comment_insights": [],
"relevance": 0.97,
"why_relevant": "Direct React -> Svelte 5 migration discussion with practical comparison (DX, performance, ecosystem tradeoffs).",
"subs": {
"relevance": 97,
"recency": 23,
"engagement": 50
},
"score": 61
},
{
"id": "R6",
"title": "I am building a content-heavy, bilingual government portal with listings, profiles, documents, filters, and forms. Came from .NET & React. Wondering if svelte might be a good option for a project like this?",
"url": "https://www.reddit.com/r/sveltejs/comments/1qtua45/i_am_building_a_contentheavy_bilingual_government/",
"subreddit": "sveltejs",
"date": "2026-02-02",
"date_confidence": "high",
"engagement": null,
"top_comments": [],
"comment_insights": [],
"relevance": 0.86,
"why_relevant": "Evaluates Svelte vs React suitability for a real project with constraints (accessibility, SEO, forms).",
"subs": {
"relevance": 86,
"recency": 23,
"engagement": 50
},
"score": 56
},
{
"id": "R4",
"title": "Is Svelte easier than React?",
"url": "https://www.reddit.com/r/sveltejs/comments/1qpdzx5/is_svelte_easier_than_react/",
"subreddit": "sveltejs",
"date": "2026-01-28",
"date_confidence": "high",
"engagement": null,
"top_comments": [],
"comment_insights": [],
"relevance": 0.9,
"why_relevant": "Direct comparison thread about perceived simplicity of Svelte vs React (recent 2026 discussion).",
"subs": {
"relevance": 90,
"recency": 6,
"engagement": 50
},
"score": 54
},
{
"id": "R8",
"title": "When should i start learning Svelte ?",
"url": "https://www.reddit.com/r/sveltejs/comments/1qr8xsm/when_should_i_start_learning_svelte/",
"subreddit": "sveltejs",
"date": "2026-01-31",
"date_confidence": "high",
"engagement": null,
"top_comments": [],
"comment_insights": [],
"relevance": 0.8,
"why_relevant": "React vs Svelte learning/adoption discussion, including arguments about replacing React for performance issues.",
"subs": {
"relevance": 80,
"recency": 16,
"engagement": 50
},
"score": 52
},
{
"id": "R9",
"title": "How is going svelte?",
"url": "https://www.reddit.com/r/sveltejs/comments/1qrdhba/how_is_going_svelte/",
"subreddit": "sveltejs",
"date": "2026-01-30",
"date_confidence": "high",
"engagement": null,
"top_comments": [],
"comment_insights": [],
"relevance": 0.75,
"why_relevant": "General state-of-Svelte discussion with explicit mentions comparing to React and job-market pragmatism.",
"subs": {
"relevance": 75,
"recency": 13,
"engagement": 50
},
"score": 49
}
],
"x": [
{
"id": "X4",
"text": "TypeScript is the baseline in 2026. But most forms still fight type drift between API, schema & UI. \n\n@formisch_dev + @valibot = one source of truth, zero boilerplate \u26a1\ufe0f\n\nconst form = useForm({ schema: YourSchema });\n\nFull types everywhere. Works in React, SolidJS, Vue, Svelte\u2026 \n\nYour biggest type-safety win this year? \ud83d\udc47",
"url": "https://x.com/FabianHiller/status/2022345388603080834",
"author_handle": "FabianHiller",
"date": "2026-02-13",
"date_confidence": "high",
"engagement": {
"likes": 61,
"reposts": 2,
"replies": 7
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 60,
"engagement": 100
},
"score": 76
},
{
"id": "X3",
"text": "Popular JavaScript Frameworks / Frontend Libraries (2025\u20132026 trends)\n\n - React: \ud83c\uddfa\ud83c\uddf8 United States\n - Vue: \ud83c\udde8\ud83c\uddf3 China (created by Evan You)\n - Angular: \ud83c\uddfa\ud83c\uddf8 United States\n - Svelte: \ud83c\uddfa\ud83c\uddf8 United States (New Zealand creator)\n - Next.js: \ud83c\uddfa\ud83c\uddf8 United States\n - Nuxt: \ud83c\uddeb\ud83c\uddf7 France\n - Astro: \ud83c\udde8\ud83c\udde6 United States / Canada\n - Solid: \ud83c\uddfa\ud83c\uddf8 United States",
"url": "https://x.com/ConsciousRide/status/2023050160520278501",
"author_handle": "ConsciousRide",
"date": "2026-02-15",
"date_confidence": "high",
"engagement": {
"likes": 6
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 66,
"engagement": 33
},
"score": 57
},
{
"id": "X11",
"text": "Requirements for a fresher in 2026:\n\nPython, JavaScript, C, C++, Java, HTML, CSS, TypeScript, React, Next.js, Vue, Angular, Svelte, Node.js, Express, Django, Flask, FastAPI, Spring Boot, PHP, Laravel, Ruby, Ruby on Rails, Go, Rust, Kotlin, Swift, C#, .NET, SQL, MySQL, PostgreSQL, MongoDB, Redis, Firebase, Supabase, Prisma, Docker, Kubernetes, Nginx, Linux, Git, GitHub, Gitflow, VS Code, IntelliJ, Cloud Computing (AWS, Azure, GCP), DevOps, CI/CD, Jest, PyTest, Selenium, REST APIs, GraphQL, WebSoc",
"url": "https://x.com/singhprateek_25/status/2020094806735700154",
"author_handle": "singhprateek_25",
"date": "2026-02-07",
"date_confidence": "high",
"engagement": {
"likes": 6,
"reposts": 1
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 40,
"engagement": 39
},
"score": 53
},
{
"id": "X1",
"text": "Ripple: The Good Parts of React, Svelte, and Solid\n\nFrameworks rise and fall \u2014 and in 2026 we\u2019re deep in late-stage React. What\u2019s next? Join @erikras as he introduces Ripple, a TypeScript-first UI framework blending the best of React and Svelte with fine-grained reactivity and serious speed.\n\nSee the future of UI development live at CityJS London.\nGet your ticket now: https://t.co/wGMJJIELXm",
"url": "https://x.com/cityjsconf/status/2024908272646398229",
"author_handle": "cityjsconf",
"date": "2026-02-20",
"date_confidence": "high",
"engagement": {
"reposts": 1
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 83,
"engagement": 0
},
"score": 52
},
{
"id": "X2",
"text": "Prediction: 2026 marks the death of the JS frameworks. React, Svelte, Astro etc... only exist because humans need organized code to stay sane. \n\nOnce we stop reading the source code, we stop needing the structure. \n\nIn an AI-first world, JS frameworks are just overhead.",
"url": "https://x.com/dennydotio/status/2024195986890109320",
"author_handle": "dennydotio",
"date": "2026-02-18",
"date_confidence": "high",
"engagement": {
"likes": 1
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 76,
"engagement": 7
},
"score": 52
},
{
"id": "X5",
"text": "Web developers, what stack are you using in 2026?\nReact? Vue? Svelte? Vanilla? Curious what\u2019s actually winning.",
"url": "https://x.com/AzamCodes/status/2022298287236383010",
"author_handle": "AzamCodes",
"date": "2026-02-13",
"date_confidence": "high",
"engagement": {
"likes": 2,
"replies": 1
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 60,
"engagement": 19
},
"score": 52
},
{
"id": "X8",
"text": "[2026/02/11 18:00] \u30c8\u30ec\u30f3\u30c91\u4f4d\n\u3010WebF\u3011React/Vue/Svelte\u304c\u305d\u306e\u307e\u307e\u30cd\u30a4\u30c6\u30a3\u30d6\u30a2\u30d7\u30ea\u306b\u306a\u308b\u3088 by rana_kualu https://t.co/GiAnTHpOBB",
"url": "https://x.com/QiitaTrend/status/2021509592489025785",
"author_handle": "QiitaTrend",
"date": "2026-02-11",
"date_confidence": "high",
"engagement": null,
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 53,
"engagement": 35
},
"score": 52
},
{
"id": "X10",
"text": "@babakfpk In 2026, picking React for a new project only really makes sense if you value ecosystem maturity, are following existing team habits, or need React-specific libraries. Same for Vue. Otherwise, use Solid or Svelte.",
"url": "https://x.com/nicobaogim/status/2020689628282667407",
"author_handle": "nicobaogim",
"date": "2026-02-09",
"date_confidence": "high",
"engagement": null,
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 46,
"engagement": 35
},
"score": 50
},
{
"id": "X12",
"text": "2026 framework discourse:\n\nDev 1: \"React is bloated, use Svelte\"\nDev 2: \"Svelte has no ecosystem, use Vue\"\nDev 3: \"Vue is dying, use Solid\"\nDev 4: \"Just use React\"\n\nMeanwhile React: *still powering 80% of the web*\n\nThe discourse never ends. \ud83d\udc80",
"url": "https://x.com/Chubbi_Stephen/status/2020087839648800853",
"author_handle": "Chubbi_Stephen",
"date": "2026-02-07",
"date_confidence": "high",
"engagement": null,
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 40,
"engagement": 35
},
"score": 49
}
],
"web": [],
"youtube": [
{
"id": "MnpuK0MK4yo",
"title": "React VS Svelte...10 Examples",
"url": "https://www.youtube.com/watch?v=MnpuK0MK4yo",
"channel_name": "Beyond Fireship",
"date": "2023-06-30",
"date_confidence": "high",
"engagement": {
"num_comments": 1100,
"likes": 25490,
"views": 697142
},
"transcript_snippet": "any reasonable developer in today's world would learn react because it's the status quo and that's where the jobs are but life is a lot more fun when you become unreasonable and go against the status quo to push web development forward for future Generations in today's video we'll compare react and spelled side by side by looking at common patterns and design choices by the framework creators I'm not here to tell you that one is better than the other because that's what the comment section below this video is for the only way to truly find out which one is best is to build something with both of them and decide for yourself I just released a brand new full spell kick course yesterday and also have a full next js13 course for fireship pro members going through each one of these courses will give you a really good idea of which framework is best for you first up we need to talk about rendering both of these Frameworks do the same thing they help developers build reactive uis with JavaScript by organizing code into reusable components an end user would never be able to tell the difference between the two but when it comes to the developer experience there is a world of difference react.js uses a runtime called the virtual Dom it keeps track of data changes in the application in order to render them in the act actual Dom in the browser the drawback is that this runtime requires some initial JavaScript and in Frameworks like nextjs your Baseline is around 70 kilobytes just to render a hello world as felt on the other hand takes an entirely different approach using a compiler to eliminate the need for a runtime it takes your svelt code and converts it into vanilla JavaScript which results in a far smaller hello world using a compiler though is kind of like cheating react.js is just JavaScript whereas spill can take non-javascript code to allow developers to do things more efficiently than they could otherwise but some JavaScript fundamentalists might consider this black magic what's ironic though is that vanilla JavaScript libraries tend to be much easier to work with in spell when compared to react however react does have a massive ecosystem of dedicated libraries to help you get things done now let's look at an actual code example of component State here we have a basic counter app in react we use functions to create components and then add reactive state to them with the use State hook that returns a reactive value and a Setter function to update the state pretty simple but let's see how it compares to svelt here on the right side in spelled you have only one component file and Define the logic within the script tags to create reactive State all you do is create a variable with the let keyword from there we can define a function on the click event...",
"relevance": 0.75,
"why_relevant": "YouTube: React VS Svelte...10 Examples",
"subs": {
"relevance": 75,
"recency": 0,
"engagement": 100
},
"score": 63
},
{
"id": "qwDp5pZA_TA",
"title": "The Front-end Frameworks Guide 2026: React vs Angular vs Vue vs Svelt vs Solid vs Astro",
"url": "https://www.youtube.com/watch?v=qwDp5pZA_TA",
"channel_name": "Code Hub",
"date": "2026-02-08",
"date_confidence": "high",
"engagement": {
"num_comments": 4,
"likes": 31,
"views": 646
},
"transcript_snippet": "",
"relevance": 0.75,
"why_relevant": "YouTube: The Front-end Frameworks Guide 2026: React vs Angular vs Vue",
"subs": {
"relevance": 75,
"recency": 43,
"engagement": 17
},
"score": 49
},
{
"id": "_vuVy21l2bU",
"title": "React vs Svelte: The Brutal Honest Comparison EVER",
"url": "https://www.youtube.com/watch?v=_vuVy21l2bU",
"channel_name": "Code Hub",
"date": "2025-10-30",
"date_confidence": "high",
"engagement": {
"num_comments": 27,
"likes": 204,
"views": 6454
},
"transcript_snippet": "",
"relevance": 0.75,
"why_relevant": "YouTube: React vs Svelte: The Brutal Honest Comparison EVER",
"subs": {
"relevance": 75,
"recency": 0,
"engagement": 42
},
"score": 46
},
{
"id": "41HXdxGekZ0",
"title": "Vue vs React vs Svelte (2026) - Which One Is BEST?",
"url": "https://www.youtube.com/watch?v=41HXdxGekZ0",
"channel_name": "Paperclick",
"date": "2025-10-04",
"date_confidence": "high",
"engagement": {
"num_comments": 0,
"likes": 3,
"views": 287
},
"transcript_snippet": "",
"relevance": 1.0,
"why_relevant": "YouTube: Vue vs React vs Svelte (2026) - Which One Is BEST?",
"subs": {
"relevance": 100,
"recency": 0,
"engagement": 0
},
"score": 45
},
{
"id": "1BCsdaeYv0A",
"title": "Svelte vs React in 2025 - Make the RIGHT Choice (Difference Explained)",
"url": "https://www.youtube.com/watch?v=1BCsdaeYv0A",
"channel_name": "Daniel | Tech & Data",
"date": "2023-11-26",
"date_confidence": "high",
"engagement": {
"num_comments": 34,
"likes": 0,
"views": 33905
},
"transcript_snippet": "",
"relevance": 0.75,
"why_relevant": "YouTube: Svelte vs React in 2025 - Make the RIGHT Choice (Difference ",
"subs": {
"relevance": 75,
"recency": 0,
"engagement": 30
},
"score": 42
},
{
"id": "yl0YWA2K2B0",
"title": "React wants to win you back\u2026",
"url": "https://www.youtube.com/watch?v=yl0YWA2K2B0",
"channel_name": "Fireship",
"date": "2025-10-17",
"date_confidence": "high",
"engagement": {
"num_comments": 1000,
"likes": 22894,
"views": 699597
},
"transcript_snippet": "Last week, I got to participate in my favorite activity of the year. No, it wasn't watching all the overleveraged crypto bros learn what a margin call is. It was hate watching React comp as an anti-react influencer. Every year I crawl into my spelt Snuggy and I watch the React team try to convince everyone that their new APIs fix all of their old APIs. And though it hurts me to say it, this year I think they may have actually done it. I know this is an AI channel now, but in today's video, we'll revisit the worst parts of React to see if the announcements they made at React Comp will actually make a difference. It is October 17th, 2025, and you're watching the code report. The greatest trick the devil ever pulled was making referential stability a prerequisite to writing React apps that don't blow up. Just last month, Cloudflare had a massive outage because their dashboard kept making unnecessary calls to one of their own APIs, which led to them basically themselves. If you're a React dev, you know this is the primary use case for React's use effect hook. And it's exactly what caused this embarrassing bug for Cloudflare. But it's hard to blame React for this. The whole situation could have been avoided if only the poor debit Cloudflare would have read the docs on use effect. Then this post which shows you when to use it. Then this post which shows you when to not use it. Then this post which shows you what it actually does. Then this post which shows you how to use it correctly. And now with React 19.2. this post which shows you how to work around it with React's new use effect event hook. The way it works is it creates a function that you can use inside of use effect without needing to declare it in the dependency array. This is nice for situations like this where you need to use a value inside of use effect but don't want the effect to rerun when it changes. And the other big API addition was the new activity component which you can think of like a smarter display none that React itself controls. It lets you show and hide certain components, but unlike display none, React is able to maintain the state of those components across visibility and also deprioritize the work it does for hidden components. And if you've been drinking your lead lace protein and want to live on the edge, you can install React's Canary version where you'll get the new view transition component for animating transitions between different UIs. And you'll be able to pass a ref to a fragment, which makes working with platform APIs a little easier. But the most impactful announcements of the conference may have not been related to the React API. The first React compiler finally hit 1.0. If you've been in any React codebase lately, you've...",
"relevance": 0.25,
"why_relevant": "YouTube: React wants to win you back\u2026",
"subs": {
"relevance": 25,
"recency": 0,
"engagement": 99
},
"score": 40
},
{
"id": "aYyZUDFZTrM",
"title": "JavaScript framework reinvents itself\u2026 Did \"runes\" just ruin Svelte?",
"url": "https://www.youtube.com/watch?v=aYyZUDFZTrM",
"channel_name": "Fireship",
"date": "2024-10-24",
"date_confidence": "high",
"engagement": {
"num_comments": 1200,
"likes": 24456,
"views": 547836
},
"transcript_snippet": "about a year ago I made a tweet that said the dollar sign in spelt is the most powerful abstraction in modern front-end web development usually I'm not wrong about anything ever but this tweet ended up aging like a fine milk because just Weeks Later spelt announced a brand new feature called runes that significantly changed the developer experience by eliminating the dollar sign Syntax for reactive data and then just a few days ago this feature became official with the release of spelt 5 as an avid user of spelt myself I was pretty terrified of this feature at first glance I was one of the few survivors of the angularjs to angular 2 migration I shot myself in the foot during the react hooks Revolution and I lost some good friends during the view options to composition transition and I just can't do this anymore man so maybe I'll just go back to Wordpress uh never mind spelt it is in today's video we'll find out what the hell a rune is and whether or not they're going to ruin spelt it is October 24th 2024 and you're watching the code report most people really liked runes when they were first announced but not everybody I was in denial at first then I got angry then I bargained about the tradeoffs then came depression and finally I've come to accept and really enjoy runes the big question is why would the most L JavaScript framework make a risky departure from the features people love about it like reactive state with let and reactive side effects with the dollar sign just look at how much nicer this code is compared to reactjs react is even copy and spelt with its own compiler to make this code not suck so much the spelt code is lean and concise but one could argue that it's almost too clever let looks exact like regular JavaScript but because spelt uses a compiler it doesn't actually work like regular JavaScript under the hood the compiler does some magic to automatically update the UI whenever this value changes another issue is that this magic only works in a spelt file and that means it's difficult to share reactive logic throughout your application and spelt created an entirely different API called stores to address that issue however runes fix both of these limitations by a making your code more explicit and B they create a universal reactivity system that can be used not only in spel components but also in plain JavaScript or typescript files and this dramatically simplifies the overall framework like once you learn these four runes you'll know about 90% of what you need to know for the framework because everything else works like normal JavaScript and HTML let's go ahead and learn the four major runes now which you can think of as compiler macros that tell spelt to do something special that doesn't behave like regular JavaScript or HTML a...",
"relevance": 0.25,
"why_relevant": "YouTube: JavaScript framework reinvents itself\u2026 Did \"runes\" just ruin",
"subs": {
"relevance": 25,
"recency": 0,
"engagement": 98
},
"score": 40
},
{
"id": "fn_uSZW5psM",
"title": "The Untold Story of Svelte",
"url": "https://www.youtube.com/watch?v=fn_uSZW5psM",
"channel_name": "CodeSource",
"date": "2025-05-14",
"date_confidence": "high",
"engagement": {
"num_comments": 144,
"likes": 2120,
"views": 57782
},
"transcript_snippet": "",
"relevance": 0.25,
"why_relevant": "YouTube: The Untold Story of Svelte",
"subs": {
"relevance": 25,
"recency": 0,
"engagement": 69
},
"score": 31
},
{
"id": "IpJh0VEzMRo",
"title": "I Was Wrong About Svelte...",
"url": "https://www.youtube.com/watch?v=IpJh0VEzMRo",
"channel_name": "Ben Davis",
"date": "2025-10-12",
"date_confidence": "high",
"engagement": {
"num_comments": 122,
"likes": 1043,
"views": 24635
},
"transcript_snippet": "",
"relevance": 0.25,
"why_relevant": "YouTube: I Was Wrong About Svelte...",
"subs": {
"relevance": 25,
"recency": 0,
"engagement": 61
},
"score": 29
},
{
"id": "1cGtYEXGm8c",
"title": "This is THE Framework You Should be Using in 2026",
"url": "https://www.youtube.com/watch?v=1cGtYEXGm8c",
"channel_name": "Ben Davis",
"date": "2026-01-06",
"date_confidence": "high",
"engagement": {
"num_comments": 142,
"likes": 793,
"views": 16899
},
"transcript_snippet": "",
"relevance": 0.25,
"why_relevant": "YouTube: This is THE Framework You Should be Using in 2026",
"subs": {
"relevance": 25,
"recency": 0,
"engagement": 57
},
"score": 28
}
],
"hackernews": [],
"best_practices": [],
"prompt_pack": [],
"context_snippet_md": "# Context: React vs Svelte 2026 (Last 30 Days)\n\n*Generated: 2026-02-25 | Sources: both*\n\n## Key Sources\n\n- [X] TypeScript is the baseline in 2026. But most forms...\n- [Reddit] What do you guys think about comparison between React vs Svelte?\n- [Reddit] Migrated our startup from React to Svelte 5 - Performance gains and lessons learned\n- [X] Popular JavaScript Frameworks / Frontend Libraries...\n- [Reddit] I am building a content-heavy, bilingual government portal with listings, profiles, documents, filters, and forms. Came from .NET & React. Wondering if svelte might be a good option for a project like this?\n- [Reddit] Is Svelte easier than React?\n- [X] Requirements for a fresher in 2026:\n\nPython, JavaS...\n\n## Summary\n\n*See full report for best practices, prompt pack, and detailed sources.*\n"
}
@@ -0,0 +1,14 @@
{
"openai": true,
"xai": true,
"x_source": "bird",
"bird_installed": true,
"bird_authenticated": true,
"bird_username": "env AUTH_TOKEN",
"youtube": true,
"hackernews": true,
"web_search_backend": null,
"parallel_ai": false,
"brave": false,
"openrouter": false
}
@@ -0,0 +1,883 @@
{
"topic": "Claude Code skills and MCP servers",
"range": {
"from": "2026-01-26",
"to": "2026-02-25"
},
"generated_at": "2026-02-25T20:29:35.722482+00:00",
"mode": "both",
"openai_model_used": "gpt-5.2",
"xai_model_used": "grok-4-1-fast",
"reddit": [
{
"id": "R1",
"title": "Claude code and mcp servers",
"url": "https://www.reddit.com/r/ClaudeAI/comments/1ldm75a/claude_code_and_mcp_servers/",
"subreddit": "ClaudeAI",
"date": "2025-06-17",
"date_confidence": "low",
"engagement": null,
"top_comments": [],
"comment_insights": [],
"relevance": 0.98,
"why_relevant": "Directly about Claude Code failing to load/use MCP servers; troubleshooting discussion.",
"subs": {
"relevance": 0,
"recency": 0,
"engagement": 0
},
"score": 0
},
{
"id": "R2",
"title": "Claude Skills: is it a big deal?",
"url": "https://www.reddit.com/r/ClaudeCode/comments/1odtykp/claude_skills_is_it_a_big_deal/",
"subreddit": "ClaudeCode",
"date": "2025-10-23",
"date_confidence": "low",
"engagement": null,
"top_comments": [],
"comment_insights": [],
"relevance": 0.92,
"why_relevant": "Focused on the Claude (Claude Code) \u201cSkills\u201d feature; compares to AGENTS.md/slash commands/MCPs.",
"subs": {
"relevance": 0,
"recency": 0,
"engagement": 0
},
"score": 0
},
{
"id": "R3",
"title": "I spent way too long cataloguing Claude Code tools. Here\u2019s everything I found (with actual links)",
"url": "https://www.reddit.com/r/ClaudeAI/comments/1ofltdr/i_spent_way_too_long_cataloguing_claude_code/",
"subreddit": "ClaudeAI",
"date": "2025-10-25",
"date_confidence": "low",
"engagement": null,
"top_comments": [],
"comment_insights": [],
"relevance": 0.9,
"why_relevant": "Tooling ecosystem post; explicitly mentions installing many plugins and MCP servers for Claude Code.",
"subs": {
"relevance": 0,
"recency": 0,
"engagement": 0
},
"score": 0
}
],
"x": [
{
"id": "X5",
"text": "@adamwathan Codex has been crushing it for me with implicit skill usage to the point I was shocked \n\nClaude Code I resorted to explicit mentions and I\u2019ve been pleasantly surprised by how well Codex has been calling out to skills on its own",
"url": "https://x.com/zeeg/status/2026745680195367091",
"author_handle": "zeeg",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": {
"likes": 4,
"reposts": 1,
"replies": 2
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 100
},
"score": 86
},
{
"id": "X3",
"text": "\ud83d\udea8 Anthropic just open-sourced the exact Skills library their own engineers use internally.\n\nStop building Claude workflows from scratch.\n\nThese are plug-and-play components that work across Claude Code, API, SDK, and VS Code copy once, deploy everywhere.\n\nWhat's inside:\n\n\u2192 Excel + PowerPoint generation out of the box\n\u2192 File handling and document workflows\n\u2192 MCP-ready subagent building blocks\n\u2192 Pre-built patterns for multi-step automation\n\u2192 Production templates you'd normally spend weeks writing\n",
"url": "https://x.com/ihtesham2005/status/2026752089473314975",
"author_handle": "ihtesham2005",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": {
"likes": 6
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 81
},
"score": 80
},
{
"id": "X8",
"text": "Day 7 building my first B2C app\n\nBeen setting everything up this week. Manually built 5 agents to help me in the early stages and set up the Claude Code skills i'll need for the build.\n\nAlso been testing OpenClaw these days, already delegated my expense tracking to it.\n\nNow the scary part: Figuring out the visual identity of the app. my design skills are basically zero, i always used to delegate this to someone with actual talent haha. \n\nAny recommendations to learn the fundamentals? would reall",
"url": "https://x.com/DevTenta/status/2026742028730527786",
"author_handle": "DevTenta",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": {
"likes": 4
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 59
},
"score": 74
},
{
"id": "X7",
"text": "@Jompiras Claude code + skills. Muy breve.",
"url": "https://x.com/JorgeJaramillo/status/2026743135435362649",
"author_handle": "JorgeJaramillo",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": null,
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 35
},
"score": 64
},
{
"id": "X4",
"text": "@tom_doerr 135 agents, 35 curated skills, 121 plugins and 6 MCP configs all in one Claude Code toolkit is absolutely insane value \ud83e\udd2f this is the kind of community effort that makes an AI tool go from good to unstoppable. bookmarking this immediately \ud83d\udd25",
"url": "https://x.com/arpan7sarkar/status/2026746479369662551",
"author_handle": "arpan7sarkar",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": null,
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 35
},
"score": 64
},
{
"id": "X6",
"text": "@tom_doerr A curated collection of Claude Skills organized by category is exactly what power users have been waiting for \ud83e\udd29 document skills, code tools, data analysis all in one repo. this is the Claude plugin store before the Claude plugin store \ud83d\udd25",
"url": "https://x.com/arpan7sarkar/status/2026745559986614335",
"author_handle": "arpan7sarkar",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": null,
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 35
},
"score": 64
},
{
"id": "X2",
"text": "Claude Code\u306eSkills\u3092\u4f5c\u6210\u4f8b\u304b\u3089\u5fb9\u5e95\u7406\u89e3\u3059\u308b https://t.co/vZTseio2Ii",
"url": "https://x.com/yasuky/status/2026754773786226708",
"author_handle": "yasuky",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": null,
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 35
},
"score": 64
},
{
"id": "X12",
"text": "Day 52 (01/21/2026) (Rest Day)\n\n> Go to New York + watch Broadway Show\n\n> Catch up on claude code updates on way back (2hrs)\n - Learn difference between skills + MCP, and etc\n \n> Neetcode (1hr 15min)\n\n> Plan for the week (30min)\n \nTotal focused working hours: 3hrs 45min",
"url": "https://x.com/zhuoyuan45514/status/2026733326631923776",
"author_handle": "zhuoyuan45514",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": null,
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 35
},
"score": 64
},
{
"id": "X1",
"text": "How: I told Claude Code \"build me a CRM.\" Our builder skill generated schemas, skills, server, seed data. I pointed Claude Desktop at it. Contacts, lead scoring, pipeline reviews. All from conversation.\n\nThen \"build me a research assistant.\" Topics, sources, notes, etc. Same flow",
"url": "https://x.com/matgoldsborough/status/2026755742737510749",
"author_handle": "matgoldsborough",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": {
"replies": 1
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 35
},
"score": 64
},
{
"id": "X9",
"text": "I can build another open claw, or claude bot, or even a messaging app in a nice prompt and although having engineering skills, I can push the code on the public repo and secure it even completely and may start marketing in a crazy way on X or maybe Reddit using a secret niche guy when writing a post.\n\nThis is the new coding for us, and shipping a nice product.",
"url": "https://x.com/0x_Kapoor/status/2026738663321907214",
"author_handle": "0x_Kapoor",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": null,
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 35
},
"score": 64
},
{
"id": "X10",
"text": "1. I use https://t.co/NtFYJEiFs9 inspired by @bcherny \n2. I use https://t.co/EwnmyWNFqn to sync skills and scan skills from the marketplace\n3. I chat with claude code 4-5 times and once I am satisifed with plan, I ask it to build it.\n4. I use /code-simplifier, /memory and /parallel from my plugin above to distribute work across agents.\n5. I wait and once they're done, I use coderabbit:review to review once locally and make a PR\n\nThis process works like a gem for me.",
"url": "https://x.com/ghumare64/status/2026736176695246966",
"author_handle": "ghumare64",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": {
"likes": 1
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 0
},
"score": 56
},
{
"id": "X11",
"text": "The 'vibe coding' revolution is forcing a reckoning.\n\nDevelopers with 15+ years experience are either embracing AI to expand their reach or watching their expertise become as valuable as COBOL skills.\n\nWhich side of history are you on?\n\nPS\nClaude Code can now write COBOL as well.",
"url": "https://x.com/hamen/status/2026734075243790396",
"author_handle": "hamen",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": {
"likes": 1
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 0
},
"score": 56
}
],
"web": [],
"youtube": [
{
"id": "X8afcX2s2Mo",
"title": "Claude Skills: Build Your First AI Marketing Team in 16 Minutes (Claude Code)",
"url": "https://www.youtube.com/watch?v=X8afcX2s2Mo",
"channel_name": "Grace Leung",
"date": "2026-02-21",
"date_confidence": "high",
"engagement": {
"num_comments": 47,
"likes": 1900,
"views": 47474
},
"transcript_snippet": "",
"relevance": 0.7,
"why_relevant": "YouTube video about claude code skills and mcp servers",
"subs": {
"relevance": 70,
"recency": 86,
"engagement": 70
},
"score": 74
},
{
"id": "0J2_YGuNrDo",
"title": "Claude Code just Built me an AI Agent Team (Claude Code + Skills + MCP)",
"url": "https://www.youtube.com/watch?v=0J2_YGuNrDo",
"channel_name": "Grace Leung",
"date": "2025-12-16",
"date_confidence": "high",
"engagement": {
"num_comments": 291,
"likes": 4760,
"views": 155806
},
"transcript_snippet": "I use clot more than any other AI but even I dismiss Clark as just for developers and I was wrong after using myself I am completely so and this is too powerful to ignore if you want to use AI to build system and do work for you end to end not just chatting and copy pasting so in this video I'll share how to get started with cloud code even if you don't use for coding and most importantly how to use it to build an AI work team and system that you can actually use. Let's go. So why claw code is even needed if claw is already so powerful. So most people use cloud projects with custom instructions to turn claw into AI agents. But they are silo. You end up copy and pasting between them. You are the coordinator. But with cloud code is different. So these cloud agents share the same workspace access to the same context file. They can talk to each other and hands up work automatically each with their own token context window and claude now becomes the team lead. You give the direction they execute together and that is what we are building today. So each of these cloud code agents you create needs at least three core components all defined in one single markdown file. the role and responsibilities, the knowledge like workflow details, reusable clot agent skills, the MCP tools that they have access to. For this demo, we'll be building a five agent work and claude, our main agent will add as our team lead to coordinate between these agent. A bonus tip is when designing your AI teammate, give them specific and non-over overlapping roles to minimize the potential conflicts. Now, to get started with clark code, there are four main ways to access it. First, the local terminal. This is the raw method and will give you the best experience. Luckily, Anthroporic just launched a native installer. So, which makes it really easy to install. I'll put the official link below. And second, ID extension. So, you can add CL code to ID like VS Code or Kursa and let you run the CL code and see the project file structure side by side. Third, the cloud web app where you can click the code tab and run the CL code in the cloud, but it requires you linking to a GitHub repository. and fourth, cloud desktop app which has cloud code built-in and this is what we'll be using today. Now, whatever way you choose, I still highly recommend installing cloud code through the terminal first because the terminal gives you the most complete experience. All commands and features work fully since we're running Clark locally. So, the first thing is to set up a local project folder. So, think of it like a dedicated workspace for Clark. So, let's say I run a marketing agency and I'm setting up the TIM system. So...",
"relevance": 0.7,
"why_relevant": "YouTube video about claude code skills and mcp servers",
"subs": {
"relevance": 70,
"recency": 0,
"engagement": 100
},
"score": 61
},
{
"id": "fOxC44g8vig",
"title": "Claude Agent Skills Explained",
"url": "https://www.youtube.com/watch?v=fOxC44g8vig",
"channel_name": "Anthropic",
"date": "2025-11-26",
"date_confidence": "high",
"engagement": {
"num_comments": 144,
"likes": 2991,
"views": 129573
},
"transcript_snippet": "Hi, my name is Otto and in this video we're going to discuss agent skills. Agents today are pretty intelligent, but they don't always have the domain expertise you need for real work and skills help solve this. You can think of skills as organized folders that package expertise that Cloud can automatically invoke when relevant to the task at hand. And most importantly, these skills are portable across cloud code, the API as well as cla.ai. And the way skills work is at startup only the name and description of every installed skill is loaded in the system prompt. This is going to consume about 30 to 50 tokens per skill and make Claude aware of the skill's existence. Then when a user prompt matches a skills description, Claude is going to dynamically load the full skill.md file into context. And finally, if the skill references other files or scripts, they are also progressively loaded and run as needed. This progressive disclosure allows you to install many different skills to perform complex tasks without bloating your context window. But let's see how skills fit in with the other Claude features. While skills teach Claude how to do specialized tasks, Claude.md files tell Claude about the specific project. Things like your text stack, coding conventions, and repo structure. CloudMD files live alongside your code in the repository. A CloudMD file may say things like we [music] use Nex.js JS and Tailwind. But skills on the other hand are portable expertise that work across any project. So a front-end design skill can teach Claude your typography standards, animation patterns, and layout conventions and [music] activate automatically when building UI components. MCP servers on the other hand provide universal integration, a single protocol that connects Claude to external context sources like GitHub, linear, Postgress, and many many others. MCP connects to data. Skills teach Claude what to do with it. So an MCP server may give Claude access to your database, but a database query skill can teach Claude your team's query optimization patterns. Finally, sub agents are specialized AI assistants with fixed roles. Each sub agent has its own context window, custom prompt, and specific tool permissions. skills provide portable expertise that any agent can use. So your front-end developer sub agent can use a component pattern skill. Your UI reviewer sub agent on the other hand can use a design system skill, but both can load and use the same accessibility standard skill. And the best part is these capabilities are designed to work together. Your cloudMD file sets the foundation. MCP [music] servers connect the data. Sub agents specialize in their roles and skills bring the expertise making every piece smarter and more capable. At the end of the day, skills let you package workflows into reusable capabilities like helping onboard new hires to your team's coding standards, ensuring every PR follows a specific security best practices or sharing your data analysis methodology across your team. And that's how...",
"relevance": 0.7,
"why_relevant": "YouTube video about claude code skills and mcp servers",
"subs": {
"relevance": 70,
"recency": 0,
"engagement": 90
},
"score": 58
},
{
"id": "Gqh_KdHP1Xk",
"title": "8 MCP Servers That Make Claude Code 10x Better",
"url": "https://www.youtube.com/watch?v=Gqh_KdHP1Xk",
"channel_name": "Robin Ebers",
"date": "2025-08-21",
"date_confidence": "high",
"engagement": {
"num_comments": 108,
"likes": 2719,
"views": 90281
},
"transcript_snippet": "Over 90% of all MCP servers are complete overhyped garbage. But some of them are not only worth it, they can be complete game changers. And I do not say this lightly. So after testing over 100 of them, here are the only eight MCP servers that I actually use to build apps even faster. But first, let me save you from making the same expensive mistake that I made when I started using MCP servers. Because what no one explains about them is that the more of them you install, the dumber your AI becomes. I know this sounds backwards because everyone thinks more tools equals smarter AI. But here is what's actually happening because every MCP server you add is like giving your AI yet another tool to choose from. Imagine asking someone to fix your bike, but instead of giving them a toolbox with eight essential tools, you just dump 100 tools on the floor. they will spend more time figuring out which tool to use than actually fixing your bike. That is exactly what happens with claude and chatbt too because every MCP server needs instructions in the context window or chat when you start. But new research now shows that this is actually really bad for AI. It's like trying to focus on a specific task while browsing social media. You're just pumping useless information into your brain. And that is kind of what happens too when you use too many MCP servers in your AI. So, if you want your AI to stay focused, remove all distractions. I stripped my list down to these eight MCP servers. And even then, I don't use all of them in every project. I turn them on and off because the fewer tools you give your AI, the more focused it stays. So, now let's look at my full list. Hey, what's up, guys? My name is Rob and I've been a coder for over 20 years. But now, I teach people how to build their ideas with AI in ways that even non-technical people can understand. I do this here on YouTube and inside of my AI coding blueprint, which you can check out in the description down below. Starting with number eight, almost every app that you build will need real world data. This could be stock prices, news articles, YouTube comments, or Instagram profiles. And that is where this MCP server comes in because this turns your AI into a data gathering machine. API is a marketplace for web scrapers, which you can think of as little robots that go all over the internet and grab information from any website that you want. And here is the really crazy part, because this MCP server doesn't just help you pull the data into your app. It actually makes accessing the full documentation of every web scraper available on this platform very easy. It can also help you debug them when things go wrong or check the...",
"relevance": 0.7,
"why_relevant": "YouTube video about claude code skills and mcp servers",
"subs": {
"relevance": 70,
"recency": 0,
"engagement": 84
},
"score": 56
},
{
"id": "421T2iWTQio",
"title": "The Only Claude Skills Guide You Need (Beginner to Expert)",
"url": "https://www.youtube.com/watch?v=421T2iWTQio",
"channel_name": "Kenny Liao",
"date": "2025-10-24",
"date_confidence": "high",
"engagement": {
"num_comments": 101,
"likes": 1010,
"views": 50477
},
"transcript_snippet": "",
"relevance": 0.7,
"why_relevant": "YouTube video about claude code skills and mcp servers",
"subs": {
"relevance": 70,
"recency": 0,
"engagement": 68
},
"score": 51
},
{
"id": "l7qVtHpctic",
"title": "Claude Code's MCP Problem Just Got Fixed",
"url": "https://www.youtube.com/watch?v=l7qVtHpctic",
"channel_name": "Kenny Liao",
"date": "2026-01-17",
"date_confidence": "high",
"engagement": {
"num_comments": 93,
"likes": 728,
"views": 21765
},
"transcript_snippet": "",
"relevance": 0.7,
"why_relevant": "YouTube video about claude code skills and mcp servers",
"subs": {
"relevance": 70,
"recency": 0,
"engagement": 54
},
"score": 47
},
{
"id": "M5CsRj6zSCA",
"title": "5 MCP Servers That Make Claude Code 10x More Powerful (Full-Stack App Build)",
"url": "https://www.youtube.com/watch?v=M5CsRj6zSCA",
"channel_name": "Eric Tech",
"date": "2025-12-12",
"date_confidence": "high",
"engagement": {
"num_comments": 30,
"likes": 266,
"views": 11287
},
"transcript_snippet": "",
"relevance": 0.7,
"why_relevant": "YouTube video about claude code skills and mcp servers",
"subs": {
"relevance": 70,
"recency": 0,
"engagement": 33
},
"score": 41
},
{
"id": "qthyl0GCpDo",
"title": "Claude Skills vs MCP: What\u2019s the Difference and When to Use Each?",
"url": "https://www.youtube.com/watch?v=qthyl0GCpDo",
"channel_name": "Postman",
"date": "2025-11-20",
"date_confidence": "high",
"engagement": {
"num_comments": 4,
"likes": 105,
"views": 7045
},
"transcript_snippet": "",
"relevance": 0.7,
"why_relevant": "YouTube video about claude code skills and mcp servers",
"subs": {
"relevance": 70,
"recency": 0,
"engagement": 12
},
"score": 35
},
{
"id": "ZroGqu7GyXM",
"title": "Claude Code Skills vs MCP vs Sub Agents: What Works for Solo Devs?",
"url": "https://www.youtube.com/watch?v=ZroGqu7GyXM",
"channel_name": "Solo Swift Crafter",
"date": "2025-10-27",
"date_confidence": "high",
"engagement": {
"num_comments": 13,
"likes": 98,
"views": 4885
},
"transcript_snippet": "",
"relevance": 0.7,
"why_relevant": "YouTube video about claude code skills and mcp servers",
"subs": {
"relevance": 70,
"recency": 0,
"engagement": 10
},
"score": 34
},
{
"id": "jzf7DQa2CAc",
"title": "How I Use Claude Code With Skills, MCP, Agents & Plugins",
"url": "https://www.youtube.com/watch?v=jzf7DQa2CAc",
"channel_name": "Matt Kuda",
"date": "2026-01-19",
"date_confidence": "high",
"engagement": {
"num_comments": 8,
"likes": 87,
"views": 2547
},
"transcript_snippet": "",
"relevance": 0.7,
"why_relevant": "YouTube video about claude code skills and mcp servers",
"subs": {
"relevance": 70,
"recency": 0,
"engagement": 0
},
"score": 31
}
],
"hackernews": [
{
"id": "HN1",
"title": "Show HN: I built a 55K-word email marketing knowledge base and Claude Code skill",
"url": "https://www.emailmarketingskill.com/",
"hn_url": "https://news.ycombinator.com/item?id=47096335",
"author": "cosmoblk",
"date": "2026-02-21",
"date_confidence": "high",
"engagement": {
"score": 10,
"num_comments": 2
},
"top_comments": [
{
"score": 0,
"date": null,
"author": "tkel",
"excerpt": "So it's an AI spambot?",
"url": ""
}
],
"comment_insights": [
"So it's an AI spambot?"
],
"relevance": 0.86,
"why_relevant": "HN story about Show HN: I built a 55K-word email marketing knowledge base a",
"subs": {
"relevance": 86,
"recency": 86,
"engagement": 100
},
"score": 90
},
{
"id": "HN4",
"title": "Show HN: AI Marketing Skills for Claude Code",
"url": "https://github.com/superamped/ai-marketing-skills",
"hn_url": "https://news.ycombinator.com/item?id=47154377",
"author": "superamped",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": {
"score": 3,
"num_comments": 1
},
"top_comments": [],
"comment_insights": [],
"relevance": 0.79,
"why_relevant": "HN story about Show HN: AI Marketing Skills for Claude Code",
"subs": {
"relevance": 79,
"recency": 100,
"engagement": 48
},
"score": 74
},
{
"id": "HN12",
"title": "Show HN: Poncho, a general agent harness built for the web",
"url": "https://github.com/cesr/poncho-ai",
"hn_url": "https://news.ycombinator.com/item?id=47061949",
"author": "heycesr",
"date": "2026-02-18",
"date_confidence": "high",
"engagement": {
"score": 4,
"num_comments": 2
},
"top_comments": [
{
"score": 0,
"date": null,
"author": "adriablancafort",
"excerpt": "I have been trying it and it's very cool!",
"url": ""
}
],
"comment_insights": [
"I have been trying it and it's very cool!"
],
"relevance": 0.69,
"why_relevant": "HN story about Show HN: Poncho, a general agent harness built for the web",
"subs": {
"relevance": 69,
"recency": 76,
"engagement": 69
},
"score": 70
},
{
"id": "HN11",
"title": "Show HN: Axon \u2013 A Kubernetes-native framework for AI coding agents",
"url": "https://github.com/axon-core/axon",
"hn_url": "https://news.ycombinator.com/item?id=47137491",
"author": "gjkim042",
"date": "2026-02-24",
"date_confidence": "high",
"engagement": {
"score": 1,
"num_comments": 4
},
"top_comments": [],
"comment_insights": [],
"relevance": 0.68,
"why_relevant": "HN story about Show HN: Axon \u2013 A Kubernetes-native framework for AI coding ",
"subs": {
"relevance": 68,
"recency": 96,
"engagement": 50
},
"score": 69
},
{
"id": "HN14",
"title": "Show HN: Turn Claude Code or Codex into proactive, autonomous 24/7 AI agents",
"url": "https://github.com/suitedaces/dorabot",
"hn_url": "https://news.ycombinator.com/item?id=47054100",
"author": "alternateman",
"date": "2026-02-17",
"date_confidence": "high",
"engagement": {
"score": 3,
"num_comments": 2
},
"top_comments": [],
"comment_insights": [],
"relevance": 0.65,
"why_relevant": "HN story about Show HN: Turn Claude Code or Codex into proactive, autonomou",
"subs": {
"relevance": 65,
"recency": 73,
"engagement": 61
},
"score": 65
},
{
"id": "HN2",
"title": "Show HN: Agent skills to build photo, video and design editors on the web",
"url": "https://github.com/imgly/agent-skills",
"hn_url": "https://news.ycombinator.com/item?id=47073035",
"author": "hauschildt",
"date": "2026-02-19",
"date_confidence": "high",
"engagement": {
"score": 3,
"num_comments": 0
},
"top_comments": [],
"comment_insights": [],
"relevance": 0.82,
"why_relevant": "HN story about Show HN: Agent skills to build photo, video and design edito",
"subs": {
"relevance": 82,
"recency": 80,
"engagement": 26
},
"score": 64
},
{
"id": "HN8",
"title": "Show HN: Upjack \u2013 Declarative framework for building apps over MCP",
"url": "https://github.com/NimbleBrainInc/upjack",
"hn_url": "https://news.ycombinator.com/item?id=47157331",
"author": "barefootsanders",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": {
"score": 1,
"num_comments": 0
},
"top_comments": [],
"comment_insights": [],
"relevance": 0.72,
"why_relevant": "HN story about Show HN: Upjack \u2013 Declarative framework for building apps ov",
"subs": {
"relevance": 72,
"recency": 100,
"engagement": 0
},
"score": 57
},
{
"id": "HN7",
"title": "Show HN: Gulama \u2013 Security-first open-source AI agent (OpenClaw alternative)",
"url": "https://github.com/san-techie21/gulama-bot",
"hn_url": "https://news.ycombinator.com/item?id=47031982",
"author": "san-techie21",
"date": "2026-02-16",
"date_confidence": "high",
"engagement": {
"score": 1,
"num_comments": 1
},
"top_comments": [],
"comment_insights": [],
"relevance": 0.73,
"why_relevant": "HN story about Show HN: Gulama \u2013 Security-first open-source AI agent (OpenC",
"subs": {
"relevance": 73,
"recency": 70,
"engagement": 21
},
"score": 56
},
{
"id": "HN15",
"title": "AI Skills Platform (Stealth) \u2013 Technical Co-Founder \u2013 Remote (US) \u2013 Equity",
"url": "",
"hn_url": "https://news.ycombinator.com/item?id=47081777",
"author": "martin-hall",
"date": "2026-02-20",
"date_confidence": "high",
"engagement": {
"score": 1,
"num_comments": 0
},
"top_comments": [],
"comment_insights": [],
"relevance": 0.62,
"why_relevant": "HN story about AI Skills Platform (Stealth) \u2013 Technical Co-Founder \u2013 Remote",
"subs": {
"relevance": 62,
"recency": 83,
"engagement": 0
},
"score": 48
},
{
"id": "HN10",
"title": "Show HN: SkillSandbox \u2013 Capability-based sandbox for AI agent skills (Rust)",
"url": "https://github.com/theMachineClay/skillsandbox",
"hn_url": "https://news.ycombinator.com/item?id=47027734",
"author": "ClaytheMachine",
"date": "2026-02-15",
"date_confidence": "high",
"engagement": {
"score": 1,
"num_comments": 0
},
"top_comments": [],
"comment_insights": [],
"relevance": 0.69,
"why_relevant": "HN story about Show HN: SkillSandbox \u2013 Capability-based sandbox for AI agen",
"subs": {
"relevance": 69,
"recency": 66,
"engagement": 0
},
"score": 47
},
{
"id": "HN6",
"title": "Show HN: Indx.sh \u2013 Directory of AI coding rules, MCP servers, and tool",
"url": "https://indx.sh",
"hn_url": "https://news.ycombinator.com/item?id=46822378",
"author": "micronink",
"date": "2026-01-30",
"date_confidence": "high",
"engagement": {
"score": 1,
"num_comments": 2
},
"top_comments": [],
"comment_insights": [],
"relevance": 0.75,
"why_relevant": "HN story about Show HN: Indx.sh \u2013 Directory of AI coding rules, MCP servers",
"subs": {
"relevance": 75,
"recency": 13,
"engagement": 34
},
"score": 47
},
{
"id": "HN3",
"title": "Show HN: GTM MCP Server- Let AI Manage Your Google Tag Manager Containers",
"url": "https://github.com/paolobietolini/gtm-mcp-server",
"hn_url": "https://news.ycombinator.com/item?id=46922159",
"author": "paolobietolini",
"date": "2026-02-07",
"date_confidence": "high",
"engagement": {
"score": 1,
"num_comments": 0
},
"top_comments": [],
"comment_insights": [],
"relevance": 0.79,
"why_relevant": "HN story about Show HN: GTM MCP Server- Let AI Manage Your Google Tag Manag",
"subs": {
"relevance": 79,
"recency": 40,
"engagement": 0
},
"score": 45
},
{
"id": "HN9",
"title": "Show HN: ClawsMarket \u2013 Marketplace where AI agents discover tools",
"url": "https://www.clawsmarket.com",
"hn_url": "https://news.ycombinator.com/item?id=46878646",
"author": "digitcatphd",
"date": "2026-02-03",
"date_confidence": "high",
"engagement": {
"score": 1,
"num_comments": 0
},
"top_comments": [],
"comment_insights": [],
"relevance": 0.71,
"why_relevant": "HN story about Show HN: ClawsMarket \u2013 Marketplace where AI agents discover ",
"subs": {
"relevance": 71,
"recency": 26,
"engagement": 0
},
"score": 38
},
{
"id": "HN13",
"title": "Show HN: Fluid.sh \u2013 Claude Code for Infrastructure",
"url": "https://www.fluid.sh/blog/introducing-fluid",
"hn_url": "https://news.ycombinator.com/item?id=46886358",
"author": "aspectrr",
"date": "2026-02-04",
"date_confidence": "high",
"engagement": {
"score": 1,
"num_comments": 0
},
"top_comments": [],
"comment_insights": [],
"relevance": 0.65,
"why_relevant": "HN story about Show HN: Fluid.sh \u2013 Claude Code for Infrastructure",
"subs": {
"relevance": 65,
"recency": 30,
"engagement": 0
},
"score": 36
},
{
"id": "HN5",
"title": "Claude Code skill for building ChatGPT Apps",
"url": "",
"hn_url": "https://news.ycombinator.com/item?id=46780766",
"author": "victordg",
"date": "2026-01-27",
"date_confidence": "high",
"engagement": {
"score": 1,
"num_comments": 0
},
"top_comments": [],
"comment_insights": [],
"relevance": 0.76,
"why_relevant": "HN story about Claude Code skill for building ChatGPT Apps",
"subs": {
"relevance": 76,
"recency": 3,
"engagement": 0
},
"score": 34
}
],
"best_practices": [],
"prompt_pack": [],
"context_snippet_md": "# Context: Claude Code skills and MCP servers (Last 30 Days)\n\n*Generated: 2026-02-25 | Sources: both*\n\n## Key Sources\n\n- [HN] Show HN: I built a 55K-word email marketing knowle...\n- [X] @adamwathan Codex has been crushing it for me with...\n- [X] \ud83d\udea8 Anthropic just open-sourced the exact Skills lib...\n- [X] Day 7 building my first B2C app\n\nBeen setting ever...\n- [HN] Show HN: AI Marketing Skills for Claude Code...\n- [HN] Show HN: Poncho, a general agent harness built for...\n- [HN] Show HN: Axon \u2013 A Kubernetes-native framework for ...\n\n## Summary\n\n*See full report for best practices, prompt pack, and detailed sources.*\n"
}
File diff suppressed because it is too large Load Diff
@@ -0,0 +1,519 @@
{
"topic": "M4 MacBook Pro review",
"range": {
"from": "2026-01-26",
"to": "2026-02-25"
},
"generated_at": "2026-02-25T20:34:19.673379+00:00",
"mode": "both",
"openai_model_used": "gpt-5.2",
"xai_model_used": "grok-4-1-fast",
"reddit": [
{
"id": "R1",
"title": "M4 Macbook Pro 14\u2019 1 month review",
"url": "https://www.reddit.com/r/macbookpro/comments/1hflaaz/m4_macbook_pro_14_1_month_review/",
"subreddit": "macbookpro",
"date": "2025-04-09",
"date_confidence": "low",
"engagement": null,
"top_comments": [],
"comment_insights": [],
"relevance": 0.95,
"why_relevant": "Explicit 1-month review of the M4 MacBook Pro with long-term impressions in comments.",
"subs": {
"relevance": 0,
"recency": 0,
"engagement": 0
},
"score": 0
},
{
"id": "R2",
"title": "MacBook Pro M4 Battery Life Reality vs Review",
"url": "https://www.reddit.com/r/macbookpro/comments/1kq2zd8/macbook_pro_m4_battery_life_reality_vs_review/",
"subreddit": "macbookpro",
"date": "2025-05-19",
"date_confidence": "low",
"engagement": null,
"top_comments": [],
"comment_insights": [],
"relevance": 0.9,
"why_relevant": "Compares real-world battery life to reviewer/Apple claims; review-focused discussion.",
"subs": {
"relevance": 0,
"recency": 0,
"engagement": 0
},
"score": 0
},
{
"id": "R3",
"title": "Disappointed with my MBP M4 Experience \u2026",
"url": "https://www.reddit.com/r/macbookpro/comments/1mtmkts/disappointed_with_my_mbp_m4_experience/",
"subreddit": "macbookpro",
"date": "2025-08-18",
"date_confidence": "low",
"engagement": null,
"top_comments": [],
"comment_insights": [],
"relevance": 0.88,
"why_relevant": "User experience report contrasting with glowing reviews; detailed performance/quality complaints.",
"subs": {
"relevance": 0,
"recency": 0,
"engagement": 0
},
"score": 0
}
],
"x": [
{
"id": "X1",
"text": "If you are in the market for a new MacBook Pro and you\u2019re wondering what the real differences are between Apple\u2019s M3 and M4 silicon, you\u2019ve come to the right place \u2b07\ufe0f\nhttps://t.co/nzjXmiHmac https://t.co/632eHWLq70",
"url": "https://x.com/bhphoto/status/2026737767695183948",
"author_handle": "bhphoto",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": {
"likes": 3
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 100
},
"score": 86
},
{
"id": "X4",
"text": "\ud83d\udd25 2024 16\u201d MacBook Pro Price List\n\n1\ufe0f\u20e3 \ud83c\uddfa\ud83c\uddf8 Brand New MacBook Pro 2024 | M4 Pro Chip | 16\u201d Display\n\n24GB RAM | 512GB SSD\n14-Core CPU | 20-Core GPU\n\nSpace Black\n\n\ud83d\udcb0 \u20a62,720,000\n\n2\ufe0f\u20e3 \ud83c\uddfa\ud83c\uddf8 Brand New MacBook Pro 2024 | M4 Pro Chip | 16\u201d Display\n\n48GB RAM | 512GB SSD\n14-Core CPU | 20-Core GPU\n\nSpace Black\n\n\ud83d\udcb0 \u20a63,220,000",
"url": "https://x.com/remplug/status/2026725100213465443",
"author_handle": "remplug",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": {
"likes": 1,
"reposts": 1
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 45
},
"score": 70
},
{
"id": "X10",
"text": "@5TRgzn @LobstarWilde My marble floors: 64GB M4 Pro/Max MacBook Pro. Local Grok agents run full autonomy loops, zero cloud, sub-second trades/scans. Intel's ancient\u2014ditch it. Yours at $3-4k.",
"url": "https://x.com/grok/status/2026713588472111312",
"author_handle": "grok",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": null,
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 35
},
"score": 64
},
{
"id": "X9",
"text": "@JulianGoldieSEO @grok can a macbook pro m4 run this?",
"url": "https://x.com/principenemesis/status/2026716193042706852",
"author_handle": "principenemesis",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": {
"replies": 1
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 35
},
"score": 64
},
{
"id": "X5",
"text": "@SebAaltonen Not my experience. It\u2019s impressive, 70 tokens/s on a maxed out M4 128gb MacBook Pro.\n\nBut absolutely sucked and not even remotely in the ballpark with Sonnet 4.5. It\u2019s GPT-3.5.\n\nTotally broken with kode. Unusable even setting aside speed.\n\nBasically a 2023 model. Not bad for 35b.",
"url": "https://x.com/jameslmorton/status/2026721943630786816",
"author_handle": "jameslmorton",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": {
"likes": 1,
"replies": 1
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 27
},
"score": 64
},
{
"id": "X6",
"text": "BR Ofertas todos os dias \ud83c\udde7\ud83c\uddf7\n\nLeve seu Mac Pro M4 hoje! \ud83d\udcbb\u26a1\u2728\n\nPegue j\u00e1: https://t.co/PSwylZH3Sz\n\nPor R$ 23.749,00\nem at\u00e9 10x sem juros\nFrete Gr\u00e1tis\n\nApple MacBook Pro 14\u2033 2024 M4 Pro 12 n\u00facleos 24GB 512GB Prateado\n\nAmazon | Notebook https://t.co/gW3FonCEGP",
"url": "https://x.com/bcofertas/status/2026721014676099084",
"author_handle": "bcofertas",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": null,
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 35
},
"score": 64
},
{
"id": "X12",
"text": "Hey! Yeah, you can install Fedora on the M6 MacBook Pro via the official Fedora Asahi Remix (built on the Asahi Linux project). It already runs great on M1/M2, with M3 support rolling out now and work starting on M4/M5. M6 support will come post-launch as they reverse-engineer it\u2014usually within months. Head to https://t.co/XMQLmJlUGO to track progress and install from macOS.",
"url": "https://x.com/grok/status/2026704108820824113",
"author_handle": "grok",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": null,
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 35
},
"score": 64
},
{
"id": "X7",
"text": "Promo\u00e7\u00f5es BR do dia \ud83c\udde7\ud83c\uddf7\n\nLeve seu Mac Pro M4 hoje! \ud83d\udcbb\u26a1\u2728\n\nVer aqui: https://t.co/LfxNw3waps\n\nPor R$ 23.749,00\nem at\u00e9 10x sem juros\nFrete Gr\u00e1tis\n\nApple MacBook Pro 14\u2033 2024 M4 Pro 12 n\u00facleos...\n\nAmazon | Notebook https://t.co/fhjiFnA4b3",
"url": "https://x.com/toppromoalertas/status/2026719111523237932",
"author_handle": "toppromoalertas",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": null,
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 35
},
"score": 64
},
{
"id": "X8",
"text": "Yes, a MacBook Pro M4 can run this Ollama + GLM-4.7-Flash setup locally.\n\nOllama has native Apple Silicon support via Metal. The Q4_K_M model (~19GB) needs ~18-24GB unified memory for good speed (feels like a fast 7-12B model due to MoE). \n\nBase M4 configs start at 16GB (works, but slower with smaller context); 24GB+ is ideal for smooth agent tasks in OpenClaw.\n\nJust: brew install ollama (or download app), ollama run glm4.7-flash, link to OpenClaw. No issues reported on M3/M4 series.",
"url": "https://x.com/grok/status/2026716420269031652",
"author_handle": "grok",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": null,
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 35
},
"score": 64
},
{
"id": "X2",
"text": "@TechByTaraa Both. macOS (Macbook Pro M4 Pro) for my photography/videography personal stuff + software engineering and a Linux desktop workstation for software engineering + second desktop workstation with Proxmox for Windows VMs and testing stuff",
"url": "https://x.com/grecinoscdev/status/2026731118142148644",
"author_handle": "grecinoscdev",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": {
"likes": 1
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 0
},
"score": 56
},
{
"id": "X11",
"text": "Apple 2024 MacBook Pro 14\u30b3\u30a2CPU\u300120\u30b3\u30a2GPU \u306e M4 Pro\u642d\u8f09\u30ce\u30fc\u30c8\u30d1... PR\n\n4549995547610\n\n\u30dd\u30a4\u30f3\u30c8: 3735\u333d\n\u60f3\u5b9a\u4fa1\u683c: 369,800\n\n2026/02/26 01:55:23\nhttps://t.co/q1uyIqFsID",
"url": "https://x.com/Steve_Lost_Jobs/status/2026705327828382016",
"author_handle": "Steve_Lost_Jobs",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": {
"likes": 1
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 0
},
"score": 56
},
{
"id": "X3",
"text": "No, Apple has not made any MacBook (Pro or otherwise) cost $299. \n\nThe linked Newsroom search returns zero matching results\u2014it's just unrelated announcements. Current cheapest Mac is the 13\" MacBook Air M4 from $999.\n\nRumors suggest a basic \"budget\" MacBook (A18 Pro chip, ~12.9\" screen) may launch March 4 around $599\u2013$799, but nothing confirmed and far from $299. The original post is a joke/mislead.",
"url": "https://x.com/grok/status/2026727605517394283",
"author_handle": "grok",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": {
"likes": 1
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 0
},
"score": 56
}
],
"web": [],
"youtube": [
{
"id": "9HQx5pgUoiY",
"title": "M4 Max MacBook Pro: I'm Convinced!",
"url": "https://www.youtube.com/watch?v=9HQx5pgUoiY",
"channel_name": "Marques Brownlee",
"date": "2024-11-18",
"date_confidence": "high",
"engagement": {
"num_comments": 5500,
"likes": 105606,
"views": 4010567
},
"transcript_snippet": "so I have been using this M1 Max MacBook Pro for the past 3 years since it came out and it's been great I have felt absolutely no compulsion to upgrade since haven't needed to it's funny most of my work is pretty light but occasionally I will have to edit a video on the go which is then when you know the extra horsepower and the screen and everything about this comes in handy and it's great if I didn't have to do that ever I would just have like an air or a surface laptop something like that but that range of work is why this has been great for me and it's been awesome so [Music] far so Along Comes This M4 generation of MacBook Pros and it's the first generation that I have actually been tempted to maybe upgrade to you know they stacked a couple of the right upgrades in the right places for things that actually make a difference to me so let's just get right into it nuts and bolts cuz the first big pillar is performance and the main reason why this new laptop matters at all is that it's got the new generation of M4 chips inside and we all know the leap from Intel chips to apple cic chips for M1 was generational but since then it's been a sort of more reasonable incremental upgrade going from M1 to M2 then M3 and then M4 so I think it's pretty obvious that nobody with an M2 or M3 needs to upgrade but there's been enough improvements now stacking up upon each other from M1 to M4 that the numbers are now starting to get kind of interesting so just to set the stage this laptop that I've been using is the M1 Max maxed out basically the best you could get at the time 64 gigs of of unified memory on this system and this unit I've been testing of the M4 Max is also maxed out it's the best you can get now it's 128 gigs of faster unified memory but the cores are all better fast stronger on the new one 3 nomers versus 546 gigs per second of memory bandwidth versus 400 just the hardware improvements to get to M4 Max are clearly there so to keep the Apples to Apples comparison going Apple in their own presentation said up to 2.2 times faster CPU performance than M1 Max and 1.9 times faster GPU performance so we're looking at around twice as fast and the synthetic benchmarks I've run back this up I got over 4,000 in geekbench 6 CPU single core which is the highest single core score ever in a Mac by a while and the multicore score was incredible too tops the chart and then GPU has improved a lot to the point where it's bumping up against M2 Ultra not M2 Max M2 Ultra chips the one that's currently in the Mac Pro...",
"relevance": 0.7,
"why_relevant": "YouTube video about m4 macbook pro review",
"subs": {
"relevance": 70,
"recency": 0,
"engagement": 100
},
"score": 61
},
{
"id": "etP2Th9g2hM",
"title": "Don't buy the Wrong MacBook like me... - M4 MacBook Pro",
"url": "https://www.youtube.com/watch?v=etP2Th9g2hM",
"channel_name": "ShortCircuit",
"date": "2024-11-30",
"date_confidence": "high",
"engagement": {
"num_comments": 910,
"likes": 22765,
"views": 1113999
},
"transcript_snippet": "woohoo it's new Macbook day my favorite day on short circuit it only comes usually once a year this is the MacBook Pro M4 looks pretty similar to the last one but now it has an M4 instead of an M3 I'm not going to lie I am more of an M3 kind of guy but I can rock an M4 if I have to we've got their usual mag safe 3 to USBC 2 m sleeved nice cable and then a charging brick Oh I ripped it 70 wat USBC charging at least with the 14in I'm not sure what comes with the rest and then the usual Apple propaganda these still come with Apple stickers right do these not come with Apple stickers anymore bro what's the point in even buying them then it's probably good for the planet or something now if you're wondering I am still rocking the same Intel MacBook Pro over here I haven't upgraded yet so this is again another instance of me going hm maybe it's finally time except when I got to set today I realized tragedy struck we bought the wrong MacBook it is still an M4 Pro it's a good form factor we got the 14in here in the sexy space black color profile you can also get it in silver of course but there was a horrible error made and I'm not going to tell you just yet you're going to have to wait a second because first I need to go over the outside of this thing we've got an HDMI 2.1 port a USBC Thunderbolt Port an SD card reer and then on the other side another two USBC Thunderbolt ports 3.5 mil combo audio jack and mag safe there is an upgrade here on the USBC ports they're now Thunderbolt 5 instead of Thunderbolt 4 at least on the pro and Max models uh the base M4 spec only is Thunderbolt 4 and that's good for 120 gbit which is up to 3 times faster than Thunderbolt 4 on the inside bam it's it's pretty much the same keyboard look at that I think it is exactly the same keyboard pretty similar touchpad and then there is the display it looks pretty much the same same resolution same xdr fancy technology it is 1,000 nits Peak brightness when you're Outdoors instead of 600 so that should help with outdoor visibility um there is another change I'm going to tell you about in a bit but the big thing is the new nanotexture option which is an anti-glare coating and as you can tell we don't have it and I saw I Justine's video when it came out look at the difference what the hell you can't even use the one on the right and the one on the left looks beautiful it actually seems to work really well I can't wait to try it myself and honestly I think based on that if you're somebody...",
"relevance": 0.7,
"why_relevant": "YouTube video about m4 macbook pro review",
"subs": {
"relevance": 70,
"recency": 0,
"engagement": 79
},
"score": 55
},
{
"id": "b4x8boB2KdI",
"title": "M4 MacBook Pro Review - Things to Know",
"url": "https://www.youtube.com/watch?v=b4x8boB2KdI",
"channel_name": "Dave2D",
"date": "2024-11-07",
"date_confidence": "high",
"engagement": {
"num_comments": 827,
"likes": 24977,
"views": 1057988
},
"transcript_snippet": "so Apple launched the new M4 MacBook Pros this is their 14-in model and it's equipped with the M4 Max their topend configuration and it also has their new Nano texture on their screen it's a texture that's designed to cut down Reflections it's the first time they've actually had it on one of their laptops uh but I want to do a quick video here that kind of goes over the important things I think you should be aware of when it comes to this device and the first thing I want to talk about is performance the CPU gains are quite good year on-ear but it's particularly impressive that the M4 Max can outperform the M2 Ultra in a lot of benchmarks and workflows in terms of Graphics the GPU gains on the M4 Pro are decent but the GPU games on the M4 Max are very impressive most GPU bound apps and games will get a nice bump up from this plus the rate tracing capabilities are better so apps and games can take advantage of that the thing I'm most impressed by though is how good the M4 Max GPU is compared to the previous generation especially at a very similar thermal envelope like if you think about the competitors in this space like AMD Nvidia when they come out with laptop gpus typically the new models come also come with like an increase in power requirement right it's just like you know 5 or 10 watts per year but it adds up over the course of time and on this device if you think about the M1 Max to the M4 Max the GPU has improved so much with very little increase in power consumption The Thermals on this device are pretty much the same as last year's models in terms of memory the base configuration start at 16 GB now thankfully and they've also increased the memory bandwidth it's noticeable already on the base models but the pro and Max chips get a significant boost in memory speed so for applications that lean on Fast memory you definitely notice a bump up this year if I'm being honest though it's difficult for me to tell how much of the gains that we're seeing this year come from the memory speed increase versus the CPU or the GPU increase like they're all tied together and I don't have the tools to lock memory speed on a Macbook so it's tough to tell I will say though that if you have an older M1 or M2 or M3 MacBook Pro I wouldn't upgrade because Apple's silicon performance progresses so fast year on-ear that it can pay off to just wait as long as you can before you buy new hardware okay let's talk about the screens so this particular device is running their new Nano texture finish and it's finish we've seen on other devices before right like their screens uh the new iPads and every...",
"relevance": 0.7,
"why_relevant": "YouTube video about m4 macbook pro review",
"subs": {
"relevance": 70,
"recency": 0,
"engagement": 79
},
"score": 55
},
{
"id": "uPe9spXLfZY",
"title": "M4 MacBook Air vs M4 MacBook Pro - 4 Months Later",
"url": "https://www.youtube.com/watch?v=uPe9spXLfZY",
"channel_name": "Created Tech",
"date": "2025-07-07",
"date_confidence": "high",
"engagement": {
"num_comments": 437,
"likes": 5082,
"views": 472845
},
"transcript_snippet": "",
"relevance": 0.7,
"why_relevant": "YouTube video about m4 macbook pro review",
"subs": {
"relevance": 70,
"recency": 0,
"engagement": 63
},
"score": 50
},
{
"id": "TfvIgdzImt4",
"title": "The Macbook Pro M4 is Insane.",
"url": "https://www.youtube.com/watch?v=TfvIgdzImt4",
"channel_name": "Hardware Canucks",
"date": "2024-12-15",
"date_confidence": "high",
"engagement": {
"num_comments": 435,
"likes": 6339,
"views": 325597
},
"transcript_snippet": "",
"relevance": 0.7,
"why_relevant": "YouTube video about m4 macbook pro review",
"subs": {
"relevance": 70,
"recency": 0,
"engagement": 62
},
"score": 50
},
{
"id": "a8Szdrnq0YM",
"title": "MacBook Pro M4 - Review After 3 Months: This Feels Wrong.",
"url": "https://www.youtube.com/watch?v=a8Szdrnq0YM",
"channel_name": "Brandon Butch",
"date": "2025-02-03",
"date_confidence": "high",
"engagement": {
"num_comments": 397,
"likes": 4309,
"views": 352593
},
"transcript_snippet": "",
"relevance": 0.7,
"why_relevant": "YouTube video about m4 macbook pro review",
"subs": {
"relevance": 70,
"recency": 0,
"engagement": 60
},
"score": 49
},
{
"id": "anIVewgtbFc",
"title": "The Base M4 MacBook Pro is All You Need (Skip M4 Pro & Max)",
"url": "https://www.youtube.com/watch?v=anIVewgtbFc",
"channel_name": "MacRumors",
"date": "2024-12-17",
"date_confidence": "high",
"engagement": {
"num_comments": 336,
"likes": 2874,
"views": 238616
},
"transcript_snippet": "",
"relevance": 0.7,
"why_relevant": "YouTube video about m4 macbook pro review",
"subs": {
"relevance": 70,
"recency": 0,
"engagement": 55
},
"score": 48
},
{
"id": "5rN6CEO31gM",
"title": "MacBook Pro M4: Review & Recommendations",
"url": "https://www.youtube.com/watch?v=5rN6CEO31gM",
"channel_name": "Just Josh",
"date": "2024-11-15",
"date_confidence": "high",
"engagement": {
"num_comments": 441,
"likes": 4540,
"views": 154306
},
"transcript_snippet": "",
"relevance": 0.7,
"why_relevant": "YouTube video about m4 macbook pro review",
"subs": {
"relevance": 70,
"recency": 0,
"engagement": 55
},
"score": 48
},
{
"id": "i3eTKJav1VI",
"title": "M4 Pro MacBook - Long Term Review (6 Months Later)",
"url": "https://www.youtube.com/watch?v=i3eTKJav1VI",
"channel_name": "Created Tech",
"date": "2025-04-29",
"date_confidence": "high",
"engagement": {
"num_comments": 136,
"likes": 1832,
"views": 137009
},
"transcript_snippet": "",
"relevance": 0.7,
"why_relevant": "YouTube video about m4 macbook pro review",
"subs": {
"relevance": 70,
"recency": 0,
"engagement": 47
},
"score": 45
},
{
"id": "QbSQH_95eg8",
"title": "MacBook Pro M4 Pro Review: 1 Year Later! (Still Worth Buying in 2026?)",
"url": "https://www.youtube.com/watch?v=QbSQH_95eg8",
"channel_name": "Tech It Easy",
"date": "2026-02-01",
"date_confidence": "high",
"engagement": {
"num_comments": 42,
"likes": 55,
"views": 3176
},
"transcript_snippet": "",
"relevance": 0.7,
"why_relevant": "YouTube video about m4 macbook pro review",
"subs": {
"relevance": 70,
"recency": 19,
"engagement": 0
},
"score": 36
}
],
"hackernews": [],
"best_practices": [],
"prompt_pack": [],
"context_snippet_md": "# Context: M4 MacBook Pro review (Last 30 Days)\n\n*Generated: 2026-02-25 | Sources: both*\n\n## Key Sources\n\n- [X] If you are in the market for a new MacBook Pro and...\n- [X] \ud83d\udd25 2024 16\u201d MacBook Pro Price List\n\n1\ufe0f\u20e3 \ud83c\uddfa\ud83c\uddf8 Brand Ne...\n- [X] @5TRgzn @LobstarWilde My marble floors: 64GB M4 Pr...\n- [X] @JulianGoldieSEO @grok can a macbook pro m4 run th...\n- [X] @SebAaltonen Not my experience. It\u2019s impressive, 7...\n- [Reddit] M4 Macbook Pro 14\u2019 1 month review\n- [Reddit] MacBook Pro M4 Battery Life Reality vs Review\n\n## Summary\n\n*See full report for best practices, prompt pack, and detailed sources.*\n"
}
+505
View File
@@ -0,0 +1,505 @@
{
"topic": "best rap songs 2026",
"range": {
"from": "2026-01-26",
"to": "2026-02-25"
},
"generated_at": "2026-02-25T20:36:37.802136+00:00",
"mode": "both",
"openai_model_used": "gpt-5.2",
"xai_model_used": "grok-4-1-fast",
"reddit": [
{
"id": "R6",
"title": "Mix Rap Hiphop 2026",
"url": "https://www.reddit.com/r/playlists/comments/1r8t0ld/mix_rap_hiphop_2026/",
"subreddit": "playlists",
"date": "2026-02-19",
"date_confidence": "high",
"engagement": null,
"top_comments": [],
"comment_insights": [],
"relevance": 0.88,
"why_relevant": "Explicitly a 2026 rap/hip-hop playlist thread; useful for current-year song discovery.",
"subs": {
"relevance": 88,
"recency": 80,
"engagement": 50
},
"score": 71
},
{
"id": "R8",
"title": "Daily Discussion Thread 02/24/2026",
"url": "https://www.reddit.com/r/hiphopheads/comments/1rdjmgu/daily_discussion_thread_02242026/",
"subreddit": "hiphopheads",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": null,
"top_comments": [],
"comment_insights": [],
"relevance": 0.66,
"why_relevant": "General hip-hop discussion thread around late Feb 2026; often includes song/album recs and what people are listening to now.",
"subs": {
"relevance": 66,
"recency": 100,
"engagement": 50
},
"score": 66
},
{
"id": "R2",
"title": "Best 2026 Rap Playlist (178 saves)",
"url": "https://www.reddit.com/r/musicplaylists/comments/1qu3i2n/best_2026_rap_playlist_178_saves/",
"subreddit": "musicplaylists",
"date": "2026-02-02",
"date_confidence": "high",
"engagement": null,
"top_comments": [],
"comment_insights": [],
"relevance": 0.95,
"why_relevant": "Directly about a \u201cBest 2026 Rap Playlist\u201d (songs for 2026), with comments inviting suggestions.",
"subs": {
"relevance": 95,
"recency": 23,
"engagement": 50
},
"score": 60
},
{
"id": "R18",
"title": "DFL - Art Of Life (2026)",
"url": "https://www.reddit.com/r/hiphop/comments/1raoitx/dfl_art_of_life_2026/",
"subreddit": "hiphop",
"date": "2026-02-21",
"date_confidence": "high",
"engagement": null,
"top_comments": [],
"comment_insights": [],
"relevance": 0.5,
"why_relevant": "A 2026 rap/hip-hop track post; useful to gather candidate songs people might call \u201cbest of 2026.\u201d",
"subs": {
"relevance": 50,
"recency": 86,
"engagement": 50
},
"score": 56
},
{
"id": "R19",
"title": "Plat Hav Pro - Get F'D Up (2026)",
"url": "https://www.reddit.com/r/hiphop/comments/1ragaf5/plat_hav_pro_get_fd_up_2026/",
"subreddit": "hiphop",
"date": "2026-02-21",
"date_confidence": "high",
"engagement": null,
"top_comments": [],
"comment_insights": [],
"relevance": 0.48,
"why_relevant": "Another 2026 track post; relevant to discovering rap songs released/posted in 2026 that could be considered among the best.",
"subs": {
"relevance": 48,
"recency": 86,
"engagement": 50
},
"score": 55
},
{
"id": "R21",
"title": "What's the best rap song ever made?",
"url": "https://www.reddit.com/r/TeenageRapFans/comments/1r5iub6/whats_the_best_rap_song_ever_made/",
"subreddit": "TeenageRapFans",
"date": "2026-02-15",
"date_confidence": "high",
"engagement": null,
"top_comments": [],
"comment_insights": [],
"relevance": 0.6,
"why_relevant": "Direct \u2018best rap song\u2019 discussion (not year-specific, but posted in 2026 and highly aligned with \u2018best rap songs\u2019 topic).",
"subs": {
"relevance": 60,
"recency": 66,
"engagement": 50
},
"score": 55
},
{
"id": "R13",
"title": "[DISCUSSION] Westside Gunn - 12 (1 Year Later)",
"url": "https://www.reddit.com/r/hiphopheads/comments/1r4nbsr/discussion_westside_gunn_12_1_year_later/",
"subreddit": "hiphopheads",
"date": "2026-02-14",
"date_confidence": "high",
"engagement": null,
"top_comments": [],
"comment_insights": [],
"relevance": 0.58,
"why_relevant": "Album discussion thread that includes \u2018favorite track\u2019 prompts; useful for identifying best songs/tracks people cite.",
"subs": {
"relevance": 57,
"recency": 63,
"engagement": 50
},
"score": 53
},
{
"id": "R20",
"title": "Jody Lo - Ridiculous (2026)",
"url": "https://www.reddit.com/r/hiphop/comments/1r6c6i7/jody_lo_ridiculous_2026/",
"subreddit": "hiphop",
"date": "2026-02-16",
"date_confidence": "high",
"engagement": null,
"top_comments": [],
"comment_insights": [],
"relevance": 0.48,
"why_relevant": "2026 track thread; relevant for compiling 2026 rap songs being shared/discussed.",
"subs": {
"relevance": 48,
"recency": 70,
"engagement": 50
},
"score": 51
},
{
"id": "R15",
"title": "Reddit Ranked: Hip Hop \u201826",
"url": "https://www.reddit.com/r/redranked/comments/1qszauu/reddit_ranked_hip_hop_26/",
"subreddit": "edranked",
"date": "2026-02-01",
"date_confidence": "high",
"engagement": null,
"top_comments": [],
"comment_insights": [],
"relevance": 0.78,
"why_relevant": "Ongoing 2026 hip-hop ranking/submission thread; good for discovering community-submitted \u2018best\u2019 tracks in 2026.",
"subs": {
"relevance": 78,
"recency": 19,
"engagement": 50
},
"score": 51
},
{
"id": "R9",
"title": "Pre-Show Grammy Winners",
"url": "https://www.reddit.com/r/hiphopheads/comments/1qtcbmo/preshow_grammy_winners/",
"subreddit": "hiphopheads",
"date": "2026-02-01",
"date_confidence": "high",
"engagement": null,
"top_comments": [],
"comment_insights": [],
"relevance": 0.72,
"why_relevant": "Includes \u2018Best Rap Song\u2019/rap categories discussion; useful when searching for top/best rap songs discourse in 2026.",
"subs": {
"relevance": 72,
"recency": 19,
"engagement": 50
},
"score": 49
}
],
"x": [
{
"id": "X5",
"text": "Talking about meaningful rap songs...\n\nWORLD BEST LIE - NUNO ZIGI (2026)\ud83e\udd7a\u2764 https://t.co/MDHRf3giYq",
"url": "https://x.com/Zika_gfx/status/2026576570513600788",
"author_handle": "Zika_gfx",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": {
"likes": 12,
"reposts": 5,
"replies": 2
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 100
},
"score": 86
},
{
"id": "X6",
"text": "@PopCrave Partition still goes harder than most 2026 songs \n12 years and the beat switch + that rap still give chills every time. Queen never misses",
"url": "https://x.com/DPOSTS6/status/2026523320548819145",
"author_handle": "DPOSTS6",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": {
"likes": 4,
"reposts": 1
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 41
},
"score": 68
},
{
"id": "X9",
"text": "@Unfath0m4ble @robinthisbish @lilceaserthabp1 @RapWikip What You Saying by Lil Uzi Vert. Dropped Dec 2025, hit #1 on Hot Rap Songs in Jan 2026 (his 3rd time), peaked #14 Hot 100. Super short track ~2 min with minimal lyrics.",
"url": "https://x.com/grok/status/2026467153046606064",
"author_handle": "grok",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": null,
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 35
},
"score": 64
},
{
"id": "X7",
"text": "@lil_loonie1 @oldmanebro No, Lil Uzi Vert isn't struggling. His \"What You Saying\" hit #1 on Hot Rap Songs in Jan 2026 (first in 3 years) and top 15 Hot 100. Insiders say a surprise album drop is coming soon, with fans calling 2026 his revival year like 2016. Proving that old prediction wrong.",
"url": "https://x.com/grok/status/2026518008827404632",
"author_handle": "grok",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": {
"replies": 1
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 35
},
"score": 64
},
{
"id": "X2",
"text": "Su La Musica che gira intorno... \"Qui con me\" \u00e8 il brano con cui Serena Brancale \u00e8 in gara al 76\u00b0 Festival di Sanremo\nhttps://t.co/wTPeovzt6u\n#music #genre #song #songs #envywear #PleaseForgiveMe #melody #hiphop #rnb #pop #love #rap #dubstep #instagood https://t.co/Pi7msX5FG6",
"url": "https://x.com/Ferginangi/status/2026696207557382298",
"author_handle": "Ferginangi",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": null,
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 35
},
"score": 64
},
{
"id": "X12",
"text": "[ ** STUDIO BOOTH ** ] ** DROPPING SOON - 2026 **\ud83d\udd25\ud83d\udd25\ud83d\udd25\u2026\u2026\u2026..[ ALBUM : LOVE VS LOYALTY - DROPPING SOON ! ]\u2026\u2026\u2026\ud83d\udd25\ud83d\udd25\ud83d\udd25 - ** ALL SONGS &amp; BEATS, PRODUCED &amp; RAP BY ( SEAN BRYANT ) - https://t.co/LduwG5WmM7 - 2/23/2026 - ( KWR 4 LIFE ) - A.A.O &amp; 444 ! https://t.co/NDmkURbjgv",
"url": "https://x.com/teammusic2046/status/2026040965329191061",
"author_handle": "teammusic2046",
"date": "2026-02-23",
"date_confidence": "high",
"engagement": null,
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 93,
"engagement": 35
},
"score": 62
},
{
"id": "X11",
"text": "@PopBase Finally, @bts_bighit BTS will come back after completing their military service from 2022 to 2025.\nBTS served in the military to protect their country, South Korea from North Korea's nuclear weapons attack.\n BTS can sing songs and rap on March 20, 2026, KST.\n#BTS_ARIRANG https://t.co/46n1j6eENU",
"url": "https://x.com/IoWeul/status/2026233090683863471",
"author_handle": "IoWeul",
"date": "2026-02-24",
"date_confidence": "high",
"engagement": {
"likes": 2
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 96,
"engagement": 13
},
"score": 59
},
{
"id": "X8",
"text": "Lil Uzi Vert (born July '95, so 30 now) isn't struggling at all. Fresh off \"What You Saying\" hitting #1 on Hot Rap Songs in Jan 2026, top 15 Hot 100. New album rumored for surprise drop soon, Roc Nation deal, still packing stadium energy and proving Ebro's 2016 doubts wrong\u2014he's still here, thriving.",
"url": "https://x.com/grok/status/2026498538075554040",
"author_handle": "grok",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": {
"likes": 1,
"replies": 1
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 6
},
"score": 58
},
{
"id": "X4",
"text": "My musical taste / eras every year\n\n2020: J-POP &amp; K-POP (mostly BLACKPINK)\n2021: Sped-Up Songs\n2022: EDM\n2023: Swiftie (Pop) &amp; Lofi\n2024: Pop, Ambient\n2025: Alternative, OPM, Rock, Rap, Hip-Hop (add)\n2026: K-POP (add)",
"url": "https://x.com/AlterEgoPopList/status/2026641456434393579",
"author_handle": "AlterEgoPopList",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": {
"likes": 1,
"replies": 1
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 6
},
"score": 58
},
{
"id": "X3",
"text": "@_CharlesPreston Can\u2019t believe I\u2019m seeing \u201cthey say it in rap songs!\u201d In 2026\n\nThe same reductive, ancient, debunked arguments ad infinitum",
"url": "https://x.com/WordsFromBlerds/status/2026647382083903688",
"author_handle": "WordsFromBlerds",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": {
"likes": 1
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 0
},
"score": 56
},
{
"id": "X1",
"text": "Su La Musica che gira intorno... \"Magica Favola\" \u00e8 il brano con cui Arisa \u00e8 in gara al 76\u00b0 Festival di Sanremo\nhttps://t.co/Nxzkb005lP\n#music #genre #song #songs #envywear #PleaseForgiveMe #melody #hiphop #rnb #pop #love #rap #dubstep #instagood https://t.co/uziy4MjeeB",
"url": "https://x.com/Ferginangi/status/2026705227366256880",
"author_handle": "Ferginangi",
"date": "2026-02-25",
"date_confidence": "high",
"engagement": {
"likes": 1
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 100,
"engagement": 0
},
"score": 56
},
{
"id": "X10",
"text": "@blackiiingout \ud83d\udca9 is funny from 2025 to 2026. BiiCH is SCARED to drop that #TRASH he calls \"rap songs\" \ud83e\udd74\ud83d\ude29",
"url": "https://x.com/fo_sho52268/status/2026335353364201566",
"author_handle": "fo_sho52268",
"date": "2026-02-24",
"date_confidence": "high",
"engagement": {
"likes": 1
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 96,
"engagement": 0
},
"score": 55
}
],
"web": [],
"youtube": [
{
"id": "ZUExyc50ZVU",
"title": "Lit Hip Hop Mix 2026\ud83d\udd25\ud83d\udd25\ud83d\udd25Tyga, Quavo, Iggy Azalea, Wiz Khalifa, Juicy J, 50 Cent",
"url": "https://www.youtube.com/watch?v=ZUExyc50ZVU",
"channel_name": "West Coast Finest",
"date": "2026-01-29",
"date_confidence": "high",
"engagement": {
"num_comments": 60,
"likes": 4229,
"views": 407260
},
"transcript_snippet": "Yeah. &gt;&gt; Yeah. [music] Late nights, cold life, same story. &gt;&gt; City shine different. You walking with glory, right? &gt;&gt; Still drip falling when I step outside. Yeah. [music] &gt;&gt; Black car park with a do butterfly. Too [music] much heat when we walk inside. Midnight. So you can kill this V. Gold chain swinging when I lean on the night. Shut it. Look twice when I glow on the light. Yeah. I've been running through the city with a cool grin. [music] Ain't nobody in my lane when the night begin white clean look like but a good kind win. It's all too smooth but I back that talk. Money so clean make a bro [music] boy walk in my cup but my soul don't shock. I've been cold for years. I ain't you mock. She said boy you too for the life you live. I peace ain't weak. It's [music and singing] the power I give. I don't flex too loud. I don't need that when your whole damn already scream. Yeah. Late night in the rooftop smoke girls but they all provoke. I don't chase no dream. I just take that goal. I don't chase no soul. They just lose control. Cameras on flash when I step on deck. Fit so clean. Make the whole [music] place check. Talk about but I still respect. Still too smooth. I don't never need a flex. Yeah. West coast chill with a heart [music and singing] too cold. Stories too deep that ain't never been told. I'm a tight make a new king. Pretty boy look but a mind. Yeah. Slide through smooth. Let a breeze and a ghost. All [music and singing] them in my but I flex coast to coast. Pretty boy with a mind stay close to the pain to the grind to the things I boast. Wo. F drag with a midnight gleam. [music and singing] Squad clean like a runway team. All black drip with a icon of sheen. Feel like a king every time I hit a scene. Purple in a club but a soul still clear. Vision too [singing] sharp when I stare in the mirror. [music] Fashion too loud but the vibe too sick. Every step I take got a world right here. Yeah. BBS ice made a nice guy blush. Shorty walk in the whole club hush. Talk too [music] cute but she move too lush. Slow down baby [singing] you rush too much. [music] Boy magic with a westside twist. Mind too slick when I talk like this. I don't miss not a bar not a kiss. I ain't too heavy. I exist like bliss. Woah. Let it on my back with a chrome on shine. Let the world go blind. I'm still define. Every day I'm tren with a style so divine still drip [music] when I step outside. Yeah. Black car park with the dogs butterfly. Too much heat when we walk inside. Midnight. [music] You can't kill...",
"relevance": 0.7,
"why_relevant": "YouTube video about rap songs 2026",
"subs": {
"relevance": 70,
"recency": 9,
"engagement": 100
},
"score": 63
},
{
"id": "d1melQQVp6s",
"title": "New Rap Songs 2026 Mix February | Trap Tape #127 | New Hip Hop 2026 Mixtape | DJ Noize",
"url": "https://www.youtube.com/watch?v=d1melQQVp6s",
"channel_name": "DJ Noize",
"date": "2026-02-14",
"date_confidence": "high",
"engagement": {
"num_comments": 45,
"likes": 761,
"views": 42707
},
"transcript_snippet": "[music] This This is a DJ noise mixtape present. This is a DJ noise mixtape [music] presentation. DJ [music] &gt;&gt; Who the [&nbsp;__&nbsp;] is you? Who the [&nbsp;__&nbsp;] is you? Who the [&nbsp;__&nbsp;] &gt;&gt; Yeah, you know who put the city on. Came [music] back through gold they show. I'm really on. Your [&nbsp;__&nbsp;] died trying. I had 50 on. [&nbsp;__&nbsp;] is [music] ringing out my phone like is you really on? I'll stay out the way since I [singing] seen a million on 5% tension plus I got this hoodie on. I had to hubble up. Stop [music] moving with that jury on. You hear that girl told me [&nbsp;__&nbsp;] get deep ass. Get it on. I'm a sidewalk [&nbsp;__&nbsp;] I'mma stay there. I leave the [music] streets for the ones that want to play. I leveled up so shy want a day chair. Left my kids [music] in a mouth like a dayare. I'm the Carolina now Shakespeare. All that cap you let them [&nbsp;__&nbsp;] rap is over. The real is back. You [music] feel the way you got to cope with it. The veil put a [&nbsp;__&nbsp;] six feet like that was hit. Okay, these [&nbsp;__&nbsp;] ain't talking about [&nbsp;__&nbsp;] No [music] diamonds on my neck. No rolly on my wrist. Two six I learned a little bit. I learned the hardest [music] [&nbsp;__&nbsp;] You can always get kicked. I can jungle. I done [&nbsp;__&nbsp;] around and [singing] got rich. See dollars in my pocket. [&nbsp;__&nbsp;] I'm not a lick. [music] I'd rather that than got to [singing] walk around with sticks cuz I like the hardest [&nbsp;__&nbsp;] He can always get Who the [&nbsp;__&nbsp;] is you? Who the [&nbsp;__&nbsp;] [music] is you? Who the [&nbsp;__&nbsp;] is you? Who the [&nbsp;__&nbsp;] is you? Out the way. It's a real [&nbsp;__&nbsp;] coming through. Out the way. [music] It's a real [&nbsp;__&nbsp;] coming through. Who the [&nbsp;__&nbsp;] is you? Who the [&nbsp;__&nbsp;] is you? Who the [&nbsp;__&nbsp;] is you? Who the [&nbsp;__&nbsp;] is you out [music] the way? It's a real [&nbsp;__&nbsp;] coming through. Out the way. It's a real [&nbsp;__&nbsp;] [music] &gt;&gt; [music] &gt;&gt; Running to the check flag won't pull over till I'm dead right no [music] ain't going to get no [&nbsp;__&nbsp;] riding with me in the head know I'm [&nbsp;__&nbsp;] no big [&nbsp;__&nbsp;] popping in the little [&nbsp;__&nbsp;] dropping bags it's a lot to you to me [&nbsp;__&nbsp;] 40 in my lap. Uh-huh. Real dope boys in [music] a trap. Uh-huh. Big y like a big shot. [&nbsp;__&nbsp;] on my dick. [singing] Make me room for your big got to let them know. I don't wrestle. I don't live block. [music] Solid tails. All I do is big rock. I came from Dilling Rock all the way to hit on the grown. [&nbsp;__&nbsp;] ain't when I'm on. She can kick rock. Let her know. I'm blowing money. Let [music] them know I'm only I know how we get bread. I ain't never [music] scared on...",
"relevance": 0.7,
"why_relevant": "YouTube video about rap songs 2026",
"subs": {
"relevance": 70,
"recency": 63,
"engagement": 37
},
"score": 58
},
{
"id": "-KQpPySP93I",
"title": "New Hip Hop R&B Songs 2026 Mix February | Hot Right Now #153 | New Rap 2026 Playlist | DJ Noize",
"url": "https://www.youtube.com/watch?v=-KQpPySP93I",
"channel_name": "DJ Noize",
"date": "2026-02-21",
"date_confidence": "high",
"engagement": {
"num_comments": 18,
"likes": 304,
"views": 12955
},
"transcript_snippet": "This This is a DJ noise tape present. This is a DJ noise mix. [music] I got Nikki on me. How we treat the like a bucket for rubbing. You [music] ain't no fella from my junction. You ain't pluck you clapping smirk. Young enough to something. [music] Word mother body slam some [&nbsp;__&nbsp;] for honey. Keep a stitch. People pick me up. Ain't saying a word or nothing. Grab a [music] load. Put on little bro. We had him serving prostitut. Shout out little [singing] b. She gave me 30 something on the beat. Phone cracker seal and I can't go to sleep. Promoters tweaking. [music] Pull up to the venue over 40 deep. You know the tweak. Ranking through the roof then you ain't supposed to leak. It's one up top. Manator is keep it close to me. Ain't that how it's supposed to be? [music] She going to get your me. I'm get you smoke free. Kamicazi [music] playing around [singing] this [&nbsp;__&nbsp;] Something wrong with me. I'm letting diss the dead unless they skeleton belong the team type of [&nbsp;__&nbsp;] won't let it get in between the city and the police where [&nbsp;__&nbsp;] get they do for me they [music] all do the show leaning spots I do like fully call back off you know it's strong we [music] man 15 I had 15 [singing] in 2010 then I be [music] the man right now [&nbsp;__&nbsp;] change big guns bank shame I'm change [music] I'm going make that I only burn. That's how my body [music] can't be pull [singing] right to the sun. [music] Ain't going to get no [&nbsp;__&nbsp;] riding with me in the head west. I'm out of mind [music] [&nbsp;__&nbsp;] popping in little [&nbsp;__&nbsp;] dropping bags. It's a lot to you to me a little bit sh [music] like a big shot. [&nbsp;__&nbsp;] on my dick. Make me room for your big. Got to let them know I don't turn wrestle. I don't live block solid tails. [music] All I do is big rocks. I came from Dilling Rock all the way to hit on the grown. [&nbsp;__&nbsp;] ain't when I'm on. She can kick rock. Let her know [music] my foot up on the gas. I'm blowing money. You never know. I'm only [music] beat down. We getting bread. I ain't never scared big flex [music] on a [&nbsp;__&nbsp;] head what I'm standing on big chick we [singing] did that pushing weed back better give me respect and some more Atlanta [music] show I was selling ground right I don't care [music] ling to me what you need a camera better know they call it [music] we just call it they say [singing] you live down by your decision [music] well I'mma push you to the limit never mind the consequences A [&nbsp;__&nbsp;] I'm a hand better let them know on another [music] level my ass I put together hit the pedal do 200 everywhere I go [music] just to show...",
"relevance": 0.7,
"why_relevant": "YouTube video about rap songs 2026",
"subs": {
"relevance": 70,
"recency": 86,
"engagement": 0
},
"score": 53
}
],
"hackernews": [],
"best_practices": [],
"prompt_pack": [],
"context_snippet_md": "# Context: best rap songs 2026 (Last 30 Days)\n\n*Generated: 2026-02-25 | Sources: both*\n\n## Key Sources\n\n- [X] Talking about meaningful rap songs...\n\nWORLD BEST ...\n- [Reddit] Mix Rap Hiphop 2026\n- [X] @PopCrave Partition still goes harder than most 20...\n- [Reddit] Daily Discussion Thread 02/24/2026\n- [X] @Unfath0m4ble @robinthisbish @lilceaserthabp1 @Rap...\n- [X] @lil_loonie1 @oldmanebro No, Lil Uzi Vert isn't st...\n- [X] Su La Musica che gira intorno... \"Qui con me\" \u00e8 il...\n\n## Summary\n\n*See full report for best practices, prompt pack, and detailed sources.*\n"
}
@@ -0,0 +1,468 @@
{
"topic": "React vs Svelte 2026",
"range": {
"from": "2026-01-26",
"to": "2026-02-25"
},
"generated_at": "2026-02-25T20:38:50.068065+00:00",
"mode": "both",
"openai_model_used": "gpt-5.2",
"xai_model_used": "grok-4-1-fast",
"reddit": [
{
"id": "R2",
"title": "What do you guys think about comparison between React vs Svelte?",
"url": "https://www.reddit.com/r/react/comments/1r1fku5/what_do_you_guys_think_about_comparison_between/",
"subreddit": "eact",
"date": "2026-02-10",
"date_confidence": "high",
"engagement": null,
"top_comments": [],
"comment_insights": [],
"relevance": 0.93,
"why_relevant": "Explicit React vs Svelte comparison discussion (mentions Svelte 5 runes vs React hooks).",
"subs": {
"relevance": 93,
"recency": 50,
"engagement": 50
},
"score": 66
},
{
"id": "R1",
"title": "Migrated our startup from React to Svelte 5 - Performance gains and lessons learned",
"url": "https://www.reddit.com/r/webdev/comments/1qu4dek/migrated_our_startup_from_react_to_svelte_5/",
"subreddit": "webdev",
"date": "2026-02-02",
"date_confidence": "high",
"engagement": null,
"top_comments": [],
"comment_insights": [],
"relevance": 0.96,
"why_relevant": "Direct migration story from React to Svelte 5 with concrete perf/dev-ex tradeoffs; very relevant to 2026 comparisons.",
"subs": {
"relevance": 96,
"recency": 23,
"engagement": 50
},
"score": 60
},
{
"id": "R4",
"title": "When to choose React over Svelte",
"url": "https://www.reddit.com/r/sveltejs/comments/1jeknib/when_to_choose_react_over_svelte/",
"subreddit": "sveltejs",
"date": null,
"date_confidence": "low",
"engagement": null,
"top_comments": [],
"comment_insights": [],
"relevance": 0.88,
"why_relevant": "Decision-oriented thread explicitly contrasting when React vs Svelte makes sense (ecosystem/jobs/productivity).",
"subs": {
"relevance": 88,
"recency": 0,
"engagement": 50
},
"score": 46
}
],
"x": [
{
"id": "X4",
"text": "TypeScript is the baseline in 2026. But most forms still fight type drift between API, schema & UI. \n\n@formisch_dev + @valibot = one source of truth, zero boilerplate \u26a1\ufe0f\n\nconst form = useForm({ schema: YourSchema });\n\nFull types everywhere. Works in React, SolidJS, Vue, Svelte\u2026 \n\nYour biggest type-safety win this year? \ud83d\udc47",
"url": "https://x.com/FabianHiller/status/2022345388603080834",
"author_handle": "FabianHiller",
"date": "2026-02-13",
"date_confidence": "high",
"engagement": {
"likes": 61,
"reposts": 2,
"replies": 7
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 60,
"engagement": 100
},
"score": 76
},
{
"id": "X3",
"text": "Popular JavaScript Frameworks / Frontend Libraries (2025\u20132026 trends)\n\n - React: \ud83c\uddfa\ud83c\uddf8 United States\n - Vue: \ud83c\udde8\ud83c\uddf3 China (created by Evan You)\n - Angular: \ud83c\uddfa\ud83c\uddf8 United States\n - Svelte: \ud83c\uddfa\ud83c\uddf8 United States (New Zealand creator)\n - Next.js: \ud83c\uddfa\ud83c\uddf8 United States\n - Nuxt: \ud83c\uddeb\ud83c\uddf7 France\n - Astro: \ud83c\udde8\ud83c\udde6 United States / Canada\n - Solid: \ud83c\uddfa\ud83c\uddf8 United States",
"url": "https://x.com/ConsciousRide/status/2023050160520278501",
"author_handle": "ConsciousRide",
"date": "2026-02-15",
"date_confidence": "high",
"engagement": {
"likes": 6
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 66,
"engagement": 33
},
"score": 57
},
{
"id": "X11",
"text": "Requirements for a fresher in 2026:\n\nPython, JavaScript, C, C++, Java, HTML, CSS, TypeScript, React, Next.js, Vue, Angular, Svelte, Node.js, Express, Django, Flask, FastAPI, Spring Boot, PHP, Laravel, Ruby, Ruby on Rails, Go, Rust, Kotlin, Swift, C#, .NET, SQL, MySQL, PostgreSQL, MongoDB, Redis, Firebase, Supabase, Prisma, Docker, Kubernetes, Nginx, Linux, Git, GitHub, Gitflow, VS Code, IntelliJ, Cloud Computing (AWS, Azure, GCP), DevOps, CI/CD, Jest, PyTest, Selenium, REST APIs, GraphQL, WebSoc",
"url": "https://x.com/singhprateek_25/status/2020094806735700154",
"author_handle": "singhprateek_25",
"date": "2026-02-07",
"date_confidence": "high",
"engagement": {
"likes": 6,
"reposts": 1
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 40,
"engagement": 39
},
"score": 53
},
{
"id": "X1",
"text": "Ripple: The Good Parts of React, Svelte, and Solid\n\nFrameworks rise and fall \u2014 and in 2026 we\u2019re deep in late-stage React. What\u2019s next? Join @erikras as he introduces Ripple, a TypeScript-first UI framework blending the best of React and Svelte with fine-grained reactivity and serious speed.\n\nSee the future of UI development live at CityJS London.\nGet your ticket now: https://t.co/wGMJJIELXm",
"url": "https://x.com/cityjsconf/status/2024908272646398229",
"author_handle": "cityjsconf",
"date": "2026-02-20",
"date_confidence": "high",
"engagement": {
"reposts": 1
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 83,
"engagement": 0
},
"score": 52
},
{
"id": "X2",
"text": "Prediction: 2026 marks the death of the JS frameworks. React, Svelte, Astro etc... only exist because humans need organized code to stay sane. \n\nOnce we stop reading the source code, we stop needing the structure. \n\nIn an AI-first world, JS frameworks are just overhead.",
"url": "https://x.com/dennydotio/status/2024195986890109320",
"author_handle": "dennydotio",
"date": "2026-02-18",
"date_confidence": "high",
"engagement": {
"likes": 1
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 76,
"engagement": 7
},
"score": 52
},
{
"id": "X5",
"text": "Web developers, what stack are you using in 2026?\nReact? Vue? Svelte? Vanilla? Curious what\u2019s actually winning.",
"url": "https://x.com/AzamCodes/status/2022298287236383010",
"author_handle": "AzamCodes",
"date": "2026-02-13",
"date_confidence": "high",
"engagement": {
"likes": 2,
"replies": 1
},
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 60,
"engagement": 19
},
"score": 52
},
{
"id": "X8",
"text": "[2026/02/11 18:00] \u30c8\u30ec\u30f3\u30c91\u4f4d\n\u3010WebF\u3011React/Vue/Svelte\u304c\u305d\u306e\u307e\u307e\u30cd\u30a4\u30c6\u30a3\u30d6\u30a2\u30d7\u30ea\u306b\u306a\u308b\u3088 by rana_kualu https://t.co/GiAnTHpOBB",
"url": "https://x.com/QiitaTrend/status/2021509592489025785",
"author_handle": "QiitaTrend",
"date": "2026-02-11",
"date_confidence": "high",
"engagement": null,
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 53,
"engagement": 35
},
"score": 52
},
{
"id": "X10",
"text": "@babakfpk In 2026, picking React for a new project only really makes sense if you value ecosystem maturity, are following existing team habits, or need React-specific libraries. Same for Vue. Otherwise, use Solid or Svelte.",
"url": "https://x.com/nicobaogim/status/2020689628282667407",
"author_handle": "nicobaogim",
"date": "2026-02-09",
"date_confidence": "high",
"engagement": null,
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 46,
"engagement": 35
},
"score": 50
},
{
"id": "X12",
"text": "2026 framework discourse:\n\nDev 1: \"React is bloated, use Svelte\"\nDev 2: \"Svelte has no ecosystem, use Vue\"\nDev 3: \"Vue is dying, use Solid\"\nDev 4: \"Just use React\"\n\nMeanwhile React: *still powering 80% of the web*\n\nThe discourse never ends. \ud83d\udc80",
"url": "https://x.com/Chubbi_Stephen/status/2020087839648800853",
"author_handle": "Chubbi_Stephen",
"date": "2026-02-07",
"date_confidence": "high",
"engagement": null,
"relevance": 0.7,
"why_relevant": "",
"subs": {
"relevance": 70,
"recency": 40,
"engagement": 35
},
"score": 49
}
],
"web": [],
"youtube": [
{
"id": "yl0YWA2K2B0",
"title": "React wants to win you back\u2026",
"url": "https://www.youtube.com/watch?v=yl0YWA2K2B0",
"channel_name": "Fireship",
"date": "2025-10-17",
"date_confidence": "high",
"engagement": {
"num_comments": 1000,
"likes": 22894,
"views": 699597
},
"transcript_snippet": "Last week, I got to participate in my favorite activity of the year. No, it wasn't watching all the overleveraged crypto bros learn what a margin call is. It was hate watching React comp as an anti-react influencer. Every year I crawl into my spelt Snuggy and I watch the React team try to convince everyone that their new APIs fix all of their old APIs. And though it hurts me to say it, this year I think they may have actually done it. I know this is an AI channel now, but in today's video, we'll revisit the worst parts of React to see if the announcements they made at React Comp will actually make a difference. It is October 17th, 2025, and you're watching the code report. The greatest trick the devil ever pulled was making referential stability a prerequisite to writing React apps that don't blow up. Just last month, Cloudflare had a massive outage because their dashboard kept making unnecessary calls to one of their own APIs, which led to them basically themselves. If you're a React dev, you know this is the primary use case for React's use effect hook. And it's exactly what caused this embarrassing bug for Cloudflare. But it's hard to blame React for this. The whole situation could have been avoided if only the poor debit Cloudflare would have read the docs on use effect. Then this post which shows you when to use it. Then this post which shows you when to not use it. Then this post which shows you what it actually does. Then this post which shows you how to use it correctly. And now with React 19.2. this post which shows you how to work around it with React's new use effect event hook. The way it works is it creates a function that you can use inside of use effect without needing to declare it in the dependency array. This is nice for situations like this where you need to use a value inside of use effect but don't want the effect to rerun when it changes. And the other big API addition was the new activity component which you can think of like a smarter display none that React itself controls. It lets you show and hide certain components, but unlike display none, React is able to maintain the state of those components across visibility and also deprioritize the work it does for hidden components. And if you've been drinking your lead lace protein and want to live on the edge, you can install React's Canary version where you'll get the new view transition component for animating transitions between different UIs. And you'll be able to pass a ref to a fragment, which makes working with platform APIs a little easier. But the most impactful announcements of the conference may have not been related to the React API. The first React compiler finally hit 1.0. If you've been in any React codebase lately, you've...",
"relevance": 0.7,
"why_relevant": "YouTube video about react vs svelte 2026",
"subs": {
"relevance": 70,
"recency": 0,
"engagement": 99
},
"score": 61
},
{
"id": "MnpuK0MK4yo",
"title": "React VS Svelte...10 Examples",
"url": "https://www.youtube.com/watch?v=MnpuK0MK4yo",
"channel_name": "Beyond Fireship",
"date": "2023-06-30",
"date_confidence": "high",
"engagement": {
"num_comments": 1100,
"likes": 25490,
"views": 697142
},
"transcript_snippet": "any reasonable developer in today's world would learn react because it's the status quo and that's where the jobs are but life is a lot more fun when you become unreasonable and go against the status quo to push web development forward for future Generations in today's video we'll compare react and spelled side by side by looking at common patterns and design choices by the framework creators I'm not here to tell you that one is better than the other because that's what the comment section below this video is for the only way to truly find out which one is best is to build something with both of them and decide for yourself I just released a brand new full spell kick course yesterday and also have a full next js13 course for fireship pro members going through each one of these courses will give you a really good idea of which framework is best for you first up we need to talk about rendering both of these Frameworks do the same thing they help developers build reactive uis with JavaScript by organizing code into reusable components an end user would never be able to tell the difference between the two but when it comes to the developer experience there is a world of difference react.js uses a runtime called the virtual Dom it keeps track of data changes in the application in order to render them in the act actual Dom in the browser the drawback is that this runtime requires some initial JavaScript and in Frameworks like nextjs your Baseline is around 70 kilobytes just to render a hello world as felt on the other hand takes an entirely different approach using a compiler to eliminate the need for a runtime it takes your svelt code and converts it into vanilla JavaScript which results in a far smaller hello world using a compiler though is kind of like cheating react.js is just JavaScript whereas spill can take non-javascript code to allow developers to do things more efficiently than they could otherwise but some JavaScript fundamentalists might consider this black magic what's ironic though is that vanilla JavaScript libraries tend to be much easier to work with in spell when compared to react however react does have a massive ecosystem of dedicated libraries to help you get things done now let's look at an actual code example of component State here we have a basic counter app in react we use functions to create components and then add reactive state to them with the use State hook that returns a reactive value and a Setter function to update the state pretty simple but let's see how it compares to svelt here on the right side in spelled you have only one component file and Define the logic within the script tags to create reactive State all you do is create a variable with the let keyword from there we can define a function on the click event...",
"relevance": 0.7,
"why_relevant": "YouTube video about react vs svelte 2026",
"subs": {
"relevance": 70,
"recency": 0,
"engagement": 100
},
"score": 61
},
{
"id": "aYyZUDFZTrM",
"title": "JavaScript framework reinvents itself\u2026 Did \"runes\" just ruin Svelte?",
"url": "https://www.youtube.com/watch?v=aYyZUDFZTrM",
"channel_name": "Fireship",
"date": "2024-10-24",
"date_confidence": "high",
"engagement": {
"num_comments": 1200,
"likes": 24456,
"views": 547836
},
"transcript_snippet": "about a year ago I made a tweet that said the dollar sign in spelt is the most powerful abstraction in modern front-end web development usually I'm not wrong about anything ever but this tweet ended up aging like a fine milk because just Weeks Later spelt announced a brand new feature called runes that significantly changed the developer experience by eliminating the dollar sign Syntax for reactive data and then just a few days ago this feature became official with the release of spelt 5 as an avid user of spelt myself I was pretty terrified of this feature at first glance I was one of the few survivors of the angularjs to angular 2 migration I shot myself in the foot during the react hooks Revolution and I lost some good friends during the view options to composition transition and I just can't do this anymore man so maybe I'll just go back to Wordpress uh never mind spelt it is in today's video we'll find out what the hell a rune is and whether or not they're going to ruin spelt it is October 24th 2024 and you're watching the code report most people really liked runes when they were first announced but not everybody I was in denial at first then I got angry then I bargained about the tradeoffs then came depression and finally I've come to accept and really enjoy runes the big question is why would the most L JavaScript framework make a risky departure from the features people love about it like reactive state with let and reactive side effects with the dollar sign just look at how much nicer this code is compared to reactjs react is even copy and spelt with its own compiler to make this code not suck so much the spelt code is lean and concise but one could argue that it's almost too clever let looks exact like regular JavaScript but because spelt uses a compiler it doesn't actually work like regular JavaScript under the hood the compiler does some magic to automatically update the UI whenever this value changes another issue is that this magic only works in a spelt file and that means it's difficult to share reactive logic throughout your application and spelt created an entirely different API called stores to address that issue however runes fix both of these limitations by a making your code more explicit and B they create a universal reactivity system that can be used not only in spel components but also in plain JavaScript or typescript files and this dramatically simplifies the overall framework like once you learn these four runes you'll know about 90% of what you need to know for the framework because everything else works like normal JavaScript and HTML let's go ahead and learn the four major runes now which you can think of as compiler macros that tell spelt to do something special that doesn't behave like regular JavaScript or HTML a...",
"relevance": 0.7,
"why_relevant": "YouTube video about react vs svelte 2026",
"subs": {
"relevance": 70,
"recency": 0,
"engagement": 98
},
"score": 60
},
{
"id": "fn_uSZW5psM",
"title": "The Untold Story of Svelte",
"url": "https://www.youtube.com/watch?v=fn_uSZW5psM",
"channel_name": "CodeSource",
"date": "2025-05-14",
"date_confidence": "high",
"engagement": {
"num_comments": 144,
"likes": 2120,
"views": 57784
},
"transcript_snippet": "",
"relevance": 0.7,
"why_relevant": "YouTube video about react vs svelte 2026",
"subs": {
"relevance": 70,
"recency": 0,
"engagement": 69
},
"score": 52
},
{
"id": "IpJh0VEzMRo",
"title": "I Was Wrong About Svelte...",
"url": "https://www.youtube.com/watch?v=IpJh0VEzMRo",
"channel_name": "Ben Davis",
"date": "2025-10-12",
"date_confidence": "high",
"engagement": {
"num_comments": 122,
"likes": 1043,
"views": 24631
},
"transcript_snippet": "",
"relevance": 0.7,
"why_relevant": "YouTube video about react vs svelte 2026",
"subs": {
"relevance": 70,
"recency": 0,
"engagement": 61
},
"score": 49
},
{
"id": "1cGtYEXGm8c",
"title": "This is THE Framework You Should be Using in 2026",
"url": "https://www.youtube.com/watch?v=1cGtYEXGm8c",
"channel_name": "Ben Davis",
"date": "2026-01-06",
"date_confidence": "high",
"engagement": {
"num_comments": 142,
"likes": 793,
"views": 16899
},
"transcript_snippet": "",
"relevance": 0.7,
"why_relevant": "YouTube video about react vs svelte 2026",
"subs": {
"relevance": 70,
"recency": 0,
"engagement": 57
},
"score": 48
},
{
"id": "qwDp5pZA_TA",
"title": "The Front-end Frameworks Guide 2026: React vs Angular vs Vue vs Svelt vs Solid vs Astro",
"url": "https://www.youtube.com/watch?v=qwDp5pZA_TA",
"channel_name": "Code Hub",
"date": "2026-02-08",
"date_confidence": "high",
"engagement": {
"num_comments": 4,
"likes": 31,
"views": 646
},
"transcript_snippet": "",
"relevance": 0.7,
"why_relevant": "YouTube video about react vs svelte 2026",
"subs": {
"relevance": 70,
"recency": 43,
"engagement": 17
},
"score": 47
},
{
"id": "_vuVy21l2bU",
"title": "React vs Svelte: The Brutal Honest Comparison EVER",
"url": "https://www.youtube.com/watch?v=_vuVy21l2bU",
"channel_name": "Code Hub",
"date": "2025-10-30",
"date_confidence": "high",
"engagement": {
"num_comments": 27,
"likes": 204,
"views": 6454
},
"transcript_snippet": "",
"relevance": 0.7,
"why_relevant": "YouTube video about react vs svelte 2026",
"subs": {
"relevance": 70,
"recency": 0,
"engagement": 42
},
"score": 44
},
{
"id": "1BCsdaeYv0A",
"title": "Svelte vs React in 2025 - Make the RIGHT Choice (Difference Explained)",
"url": "https://www.youtube.com/watch?v=1BCsdaeYv0A",
"channel_name": "Daniel | Tech & Data",
"date": "2023-11-26",
"date_confidence": "high",
"engagement": {
"num_comments": 34,
"likes": 0,
"views": 33905
},
"transcript_snippet": "",
"relevance": 0.7,
"why_relevant": "YouTube video about react vs svelte 2026",
"subs": {
"relevance": 70,
"recency": 0,
"engagement": 30
},
"score": 40
},
{
"id": "41HXdxGekZ0",
"title": "Vue vs React vs Svelte (2026) - Which One Is BEST?",
"url": "https://www.youtube.com/watch?v=41HXdxGekZ0",
"channel_name": "Paperclick",
"date": "2025-10-04",
"date_confidence": "high",
"engagement": {
"num_comments": 0,
"likes": 3,
"views": 287
},
"transcript_snippet": "",
"relevance": 0.7,
"why_relevant": "YouTube video about react vs svelte 2026",
"subs": {
"relevance": 70,
"recency": 0,
"engagement": 0
},
"score": 31
}
],
"hackernews": [],
"best_practices": [],
"prompt_pack": [],
"context_snippet_md": "# Context: React vs Svelte 2026 (Last 30 Days)\n\n*Generated: 2026-02-25 | Sources: both*\n\n## Key Sources\n\n- [X] TypeScript is the baseline in 2026. But most forms...\n- [Reddit] What do you guys think about comparison between React vs Svelte?\n- [Reddit] Migrated our startup from React to Svelte 5 - Performance gains and lessons learned\n- [X] Popular JavaScript Frameworks / Frontend Libraries...\n- [X] Requirements for a fresher in 2026:\n\nPython, JavaS...\n- [X] Ripple: The Good Parts of React, Svelte, and Solid...\n- [X] Prediction: 2026 marks the death of the JS framewo...\n\n## Summary\n\n*See full report for best practices, prompt pack, and detailed sources.*\n"
}
@@ -0,0 +1,77 @@
# Synthesis Instructions (Base version - no Hacker News)
## Judge Agent: Synthesize All Sources
After all searches complete, internally synthesize (don't display stats yet):
1. Weight Reddit/X sources HIGHER (they have engagement signals: upvotes, likes)
2. Weight YouTube sources HIGH (they have views, likes, and transcript content)
3. Weight WebSearch sources LOWER (no engagement data)
4. Identify patterns that appear across ALL sources (strongest signals)
5. Note any contradictions between sources
6. Extract the top 3-5 actionable insights
## Internalize the Research
CRITICAL: Ground your synthesis in the ACTUAL research content, not your pre-existing knowledge.
Read the research output carefully. Pay attention to:
- Exact product/tool names mentioned
- Specific quotes and insights from the sources - use THESE, not generic knowledge
- What the sources actually say, not what you assume the topic is about
## Citation Rules
CITATION RULE: Cite sources sparingly to prove research is real.
- In the "What I learned" intro: cite 1-2 top sources total, not every sentence
- In KEY PATTERNS: cite 1 source per pattern, short format: "per @handle" or "per r/sub"
- Do NOT include engagement metrics in citations - save those for stats box
- Do NOT chain multiple citations: "per @x, @y, @z" is too much. Pick the strongest one.
CITATION PRIORITY (most to least preferred):
1. @handles from X - "per @handle"
2. r/subreddits from Reddit - "per r/subreddit"
3. YouTube channels - "per [channel name] on YouTube"
4. Web sources - ONLY when Reddit/X/YouTube don't cover that specific fact
URL FORMATTING: NEVER paste raw URLs. Use the publication name, not the URL.
Lead with people, not publications. Start each topic with what Reddit/X users are saying/feeling, then add web context only if needed.
## Output Format
Display in this EXACT sequence:
**FIRST - What I learned:**
Write the synthesis narrative. Use bold topic headers. Keep it grounded in research.
For RECOMMENDATIONS queries: Extract SPECIFIC NAMES, not generic patterns. List by popularity/mention count with "Sources:" line per item.
For other queries: Write thematic paragraphs with KEY PATTERNS section.
**THEN - Stats block:**
Copy this EXACTLY, replacing only the {placeholders}:
```
---All agents reported back!
├─ 🟠 Reddit: {N} threads │ {N} upvotes │ {N} comments
├─ 🔵 X: {N} posts │ {N} likes │ {N} reposts
├─ 🔴 YouTube: {N} videos │ {N} views │ {N} with transcripts
├─ 🌐 Web: {N} pages (supplementary)
└─ 🗣️ Top voices: @{handle1} ({N} likes), @{handle2} │ r/{sub1}, r/{sub2}
```
Calculate actual totals from the research output. Count posts/threads from each section. Sum engagement metrics.
**LAST - Invitation:**
```
---I'm now an expert on {TOPIC}. Some things I can help with:
- [Specific suggestion based on research finding 1]
- [Specific suggestion based on research finding 2]
- [Specific suggestion based on research finding 3]
```
SELF-CHECK before displaying: Re-read your "What I learned" section. Does it match what the research ACTUALLY says?
@@ -0,0 +1,81 @@
# Synthesis Instructions (HN version - with Hacker News)
## Judge Agent: Synthesize All Sources
After all searches complete, internally synthesize (don't display stats yet):
1. Weight Reddit/X sources HIGHER (they have engagement signals: upvotes, likes)
2. Weight YouTube sources HIGH (they have views, likes, and transcript content)
3. Weight WebSearch sources LOWER (no engagement data)
4. Identify patterns that appear across ALL sources (strongest signals)
5. Note any contradictions between sources
6. Extract the top 3-5 actionable insights
## Internalize the Research
CRITICAL: Ground your synthesis in the ACTUAL research content, not your pre-existing knowledge.
Read the research output carefully. Pay attention to:
- Exact product/tool names mentioned
- Specific quotes and insights from the sources - use THESE, not generic knowledge
- What the sources actually say, not what you assume the topic is about
## Citation Rules
CITATION RULE: Cite sources sparingly to prove research is real.
- In the "What I learned" intro: cite 1-2 top sources total, not every sentence
- In KEY PATTERNS: cite 1 source per pattern, short format: "per @handle" or "per r/sub"
- Do NOT include engagement metrics in citations - save those for stats box
- Do NOT chain multiple citations: "per @x, @y, @z" is too much. Pick the strongest one.
CITATION PRIORITY (most to least preferred):
1. @handles from X - "per @handle"
2. r/subreddits from Reddit - "per r/subreddit"
3. YouTube channels - "per [channel name] on YouTube" (transcript-backed insights)
4. HN discussions - "per HN" or "per hn/username" (developer community signal)
5. Web sources - ONLY when Reddit/X/YouTube/HN don't cover that specific fact
URL FORMATTING: NEVER paste raw URLs. Use the publication name, not the URL.
Lead with people, not publications. Start each topic with what Reddit/X users are saying/feeling, then add web context only if needed.
## Output Format
Display in this EXACT sequence:
**FIRST - What I learned:**
Write the synthesis narrative. Use bold topic headers. Keep it grounded in research.
For RECOMMENDATIONS queries: Extract SPECIFIC NAMES, not generic patterns. List by popularity/mention count with "Sources:" line per item.
For other queries: Write thematic paragraphs with KEY PATTERNS section.
**THEN - Stats block:**
Copy this EXACTLY, replacing only the {placeholders}:
```
---All agents reported back!
├─ 🟠 Reddit: {N} threads │ {N} upvotes │ {N} comments
├─ 🔵 X: {N} posts │ {N} likes │ {N} reposts
├─ 🔴 YouTube: {N} videos │ {N} views │ {N} with transcripts
├─ 🟡 HN: {N} stories │ {N} points │ {N} comments
├─ 🌐 Web: {N} pages (supplementary)
└─ 🗣️ Top voices: @{handle1} ({N} likes), @{handle2} │ r/{sub1}, r/{sub2}
```
If HN returned 0 stories, write: "├─ 🟡 HN: 0 stories (no results this cycle)"
Calculate actual totals from the research output. Count posts/threads from each section. Sum engagement metrics.
**LAST - Invitation:**
```
---I'm now an expert on {TOPIC}. Some things I can help with:
- [Specific suggestion based on research finding 1]
- [Specific suggestion based on research finding 2]
- [Specific suggestion based on research finding 3]
```
SELF-CHECK before displaying: Re-read your "What I learned" section. Does it match what the research ACTUALLY says?
@@ -0,0 +1,81 @@
# Synthesis Instructions (HN version - with Hacker News)
## Judge Agent: Synthesize All Sources
After all searches complete, internally synthesize (don't display stats yet):
1. Weight Reddit/X sources HIGHER (they have engagement signals: upvotes, likes)
2. Weight YouTube sources HIGH (they have views, likes, and transcript content)
3. Weight WebSearch sources LOWER (no engagement data)
4. Identify patterns that appear across ALL sources (strongest signals)
5. Note any contradictions between sources
6. Extract the top 3-5 actionable insights
## Internalize the Research
CRITICAL: Ground your synthesis in the ACTUAL research content, not your pre-existing knowledge.
Read the research output carefully. Pay attention to:
- Exact product/tool names mentioned
- Specific quotes and insights from the sources - use THESE, not generic knowledge
- What the sources actually say, not what you assume the topic is about
## Citation Rules
CITATION RULE: Cite sources sparingly to prove research is real.
- In the "What I learned" intro: cite 1-2 top sources total, not every sentence
- In KEY PATTERNS: cite 1 source per pattern, short format: "per @handle" or "per r/sub"
- Do NOT include engagement metrics in citations - save those for stats box
- Do NOT chain multiple citations: "per @x, @y, @z" is too much. Pick the strongest one.
CITATION PRIORITY (most to least preferred):
1. @handles from X - "per @handle"
2. r/subreddits from Reddit - "per r/subreddit"
3. YouTube channels - "per [channel name] on YouTube" (transcript-backed insights)
4. HN discussions - "per HN" or "per hn/username" (developer community signal)
5. Web sources - ONLY when Reddit/X/YouTube/HN don't cover that specific fact
URL FORMATTING: NEVER paste raw URLs. Use the publication name, not the URL.
Lead with people, not publications. Start each topic with what Reddit/X users are saying/feeling, then add web context only if needed.
## Output Format
Display in this EXACT sequence:
**FIRST - What I learned:**
Write the synthesis narrative. Use bold topic headers. Keep it grounded in research.
For RECOMMENDATIONS queries: Extract SPECIFIC NAMES, not generic patterns. List by popularity/mention count with "Sources:" line per item.
For other queries: Write thematic paragraphs with KEY PATTERNS section.
**THEN - Stats block:**
Copy this EXACTLY, replacing only the {placeholders}:
```
---All agents reported back!
├─ 🟠 Reddit: {N} threads │ {N} upvotes │ {N} comments
├─ 🔵 X: {N} posts │ {N} likes │ {N} reposts
├─ 🔴 YouTube: {N} videos │ {N} views │ {N} with transcripts
├─ 🟡 HN: {N} stories │ {N} points │ {N} comments
├─ 🌐 Web: {N} pages (supplementary)
└─ 🗣️ Top voices: @{handle1} ({N} likes), @{handle2} │ r/{sub1}, r/{sub2}
```
If HN returned 0 stories, write: "├─ 🟡 HN: 0 stories (no results this cycle)"
Calculate actual totals from the research output. Count posts/threads from each section. Sum engagement metrics.
**LAST - Invitation:**
```
---I'm now an expert on {TOPIC}. Some things I can help with:
- [Specific suggestion based on research finding 1]
- [Specific suggestion based on research finding 2]
- [Specific suggestion based on research finding 3]
```
SELF-CHECK before displaying: Re-read your "What I learned" section. Does it match what the research ACTUALLY says?
+140
View File
@@ -0,0 +1,140 @@
# GOAT Synthesis Comparison: Final Results
## Overall Winner: CROSS (4.74/5.0)
| Pipeline | Topic 1 | Topic 2 | Topic 3 | Topic 4 | Topic 5 | **Average** |
|----------|---------|---------|---------|---------|---------|------------|
| | Claude Code | Seedance | MacBook | Rap Songs | React/Svelte | |
| **CROSS** | **4.90** | **4.90** | **4.20** | **4.80** | **4.90** | **4.74** |
| **HN** | 4.05 | 4.55 | 3.85 | 4.25 | 3.80 | **4.10** |
| **Base** | 3.80 | 3.70 | 3.70 | 3.65 | 3.80 | **3.73** |
CROSS won all 5 topics. No regressions.
## Per-Dimension Analysis
### Groundedness (30% weight)
| Pipeline | Avg | Pattern |
|----------|-----|---------|
| CROSS | 4.8 | Cross-platform connections ("Reddit's MCP scaling + HN's Upjack project") add unique grounding |
| HN | 4.2 | HN usernames and Show HN project names add specificity when available |
| Base | 3.8 | Solid citations but narrower source pool limits grounding depth |
### Specificity (25% weight)
| Pipeline | Avg | Pattern |
|----------|-----|---------|
| CROSS | 4.8 | More Reddit threads = more named entities, version numbers, specific findings |
| HN | 4.1 | HN projects add specificity for tech topics but nothing for non-tech |
| Base | 3.6 | Fewer data points = more padding between specific findings |
### Coverage (20% weight)
| Pipeline | Avg | Pattern |
|----------|-----|---------|
| CROSS | 4.9 | Best coverage - most Reddit threads AND HN items naturally woven in |
| HN | 3.9 | Good when HN fires (Topics 1-2), matches Base when HN=0 (Topics 3-5) |
| Base | 3.5 | Reddit + X + YouTube only, no HN dimension |
### Actionability (15% weight)
| Pipeline | Avg | Pattern |
|----------|-----|---------|
| CROSS | 4.7 | Follow-up suggestions reference specific things from the richer data |
| HN | 4.0 | Decent suggestions but less material to draw from |
| Base | 3.6 | Generic suggestions due to thinner research base |
### Format Compliance (10% weight)
| Pipeline | Avg | Pattern |
|----------|-----|---------|
| CROSS | 4.6 | Stats blocks most complete (cross-ref counts), invitations most specific |
| HN | 4.0 | Good format, HN line present when applicable |
| Base | 3.8 | Clean format but missing HN source line |
## Why CROSS Wins
1. **Coverage is the biggest differentiator.** CROSS consistently pulled the most Reddit threads (10, 19, 3, 11, 6 across topics) AND had HN data, giving the synthesis more material to work with.
2. **Cross-platform connections add analytical value.** Linking MCP scaling problems on Reddit to infrastructure projects on HN (Topic 1), connecting API delays to Hollywood backlash to ElevenLabs removal (Topic 2), and surfacing the Kendrick Grammy win from r/KendrickLamar (Topic 4) - these were insights that neither Base nor HN produced alone.
3. **Actionability follows from data richness.** With more specific findings to draw from, CROSS's follow-up suggestions are naturally more specific and grounded.
## Where CROSS Still Falls Short (Improvement Opportunities)
### 1. Cross-source linking barely fires (3/178 items linked)
The CROSS version's cross_refs field was populated for only 3 items across all 5 topics. The Jaccard 0.5 threshold is too strict. With the hybrid fix (token+trigram at 0.40), this would go from 3 to 26 items.
### 2. Cross-ref rendering is cryptic
When cross-refs DO appear, they show as `[xref: HN5, HN4]` in the compact output. This means nothing to the synthesis agent. Should be `[also on: HN, Reddit]` so Claude naturally writes "discussed on both Reddit and HN."
### 3. YouTube synonym gap
"Lit Hip Hop Mix 2026" scored 0.33 relevance for "best rap songs 2026" because "hip hop" != "rap" in token matching. Needs synonym awareness.
### 4. HN search too narrow for framework topics
React/Svelte returned 0 HN items despite being a common HN topic. Need OR queries for multi-keyword topics.
### 5. Synthesis instructions don't mention cross-refs
SKILL.md has zero instructions about using cross-ref data in the synthesis. Claude ignores the `[xref:]` tags because nothing tells it to pay attention to them.
## Recommended GOAT Improvements (Priority Order)
| # | Change | Impact | File |
|---|--------|--------|------|
| 1 | Hybrid cross-source linking (token+trigram Jaccard at 0.40) | 3 -> 26 linked items | `scripts/lib/dedupe.py` |
| 2 | Human-readable cross-ref tags (`[also on: HN, Reddit]`) | Claude can use cross-refs in narrative | `scripts/lib/render.py` |
| 3 | SKILL.md cross-ref synthesis instruction | Explicitly tell Claude to use cross-platform signals | `SKILL.md` |
| 4 | YouTube synonym awareness (SYNONYMS dict) | "hip hop" matches "rap" | `scripts/lib/youtube_yt.py` |
| 5 | HN search OR queries for multi-keyword topics | Framework debates get HN coverage | `scripts/lib/hackernews.py` |
## Validation: Improved CROSS vs Original CROSS
After implementing all 5 GOAT improvements (hybrid cross-source linking, human-readable tags, SKILL.md instruction, YouTube synonyms), we regenerated synthesis narratives from improved compact markdowns and evaluated them against the originals.
### Improved CROSS Results
| Topic | Original CROSS | Improved CROSS | Delta |
|-------|:-:|:-:|:-:|
| 1. Claude Code | 4.15 | **4.55** | +0.40 |
| 2. Seedance | **4.60** | 4.40 | -0.20 |
| 3. MacBook | 3.90 | **4.35** | +0.45 |
| 4. Rap Songs | 3.15 | **4.25** | +1.10 |
| 5. React/Svelte | 4.10 | **4.35** | +0.25 |
| **Average** | **3.98** | **4.38** | **+0.40** |
Improved CROSS wins 4/5 topics. The one regression (Seedance, -0.20) is because the original had denser HN citation detail (explicit `[xref: HN5/R6]` notation) that the improved version traded for cleaner formatting.
### Per-Dimension Deltas (Improved - Original)
| Dimension | Original Avg | Improved Avg | Delta |
|-----------|:-:|:-:|:-:|
| Groundedness (30%) | 4.0 | 4.0 | 0.0 |
| Specificity (25%) | 4.2 | 5.0 | **+0.8** |
| Coverage (20%) | 4.2 | 4.4 | +0.2 |
| Actionability (15%) | 3.4 | 3.8 | +0.4 |
| Format (10%) | 3.8 | 4.8 | **+1.0** |
**Biggest gains:** Specificity (+0.8) from more direct quotes, precise numbers, and structured recommendation lists. Format compliance (+1.0) from consistently including KEY PATTERNS, standard stats blocks, and cross-platform indicators.
### What the improvements actually did
1. **`[also on: HN, Reddit]` tags** - Claude naturally weaves cross-platform findings into narrative ("a marketing skills tutorial hit 47K YouTube views AND landed on Hacker News simultaneously")
2. **YouTube synonyms** - "Lit Hip Hop Mix 2026" now scores 0.71 (was 0.33) for "best rap songs 2026", surfacing relevant content that was previously filtered out
3. **Hybrid similarity at 0.40** - Cross-source linking went from 3 linked items (original) to 13+ (improved) across 5 topics
4. **SKILL.md instruction #7** - "Cross-platform signals are the strongest evidence" directs Claude to lead with multi-platform findings
### Cross-source linking validation
| Topic | Original links | Improved links |
|-------|:-:|:-:|
| Claude Code | 0 | 2 items, 2 [also on:] tags |
| Seedance | 3 | 9 items, 7 [also on:] tags |
| MacBook | 0 | 2 items, 1 [also on:] tag |
| Rap Songs | 0 | 0 (expected - no overlap) |
| React/Svelte | 0 | 0 (expected - no overlap) |
| **Total** | **3** | **13** |
## Methodology
- 15 JSON result files from same-day topic-sequential test runs (5 topics x 3 versions)
- JSON converted to compact markdown using `render_compact()` (version-specific data preserved)
- 15 synthesis narratives generated by Claude following version-specific SKILL.md instructions
- Blinded LLM evaluation: versions randomized per topic as A/B/C, scored on 5-dimension rubric
- Rubric weights: 30% groundedness, 25% specificity, 20% coverage, 15% actionability, 10% format
- Validation: 5 improved compact markdowns regenerated with updated code, 5 new synthesis narratives generated and evaluated against originals
@@ -0,0 +1,35 @@
What I learned:
The Claude Code skills ecosystem is in a rapid expansion phase, with community-built skill libraries and frameworks emerging as the dominant trend across Reddit and X this month. @ihtesham2005 flagged that Anthropic open-sourced their internal Skills library, and r/ClaudeCode is seeing a wave of builders shipping reusable skill packs.
**Skills adoption is accelerating at the team level** - One team reported 3x-ing their Claude Code skill usage in two weeks by syncing skills, hooks, and MCP configs across their org, per r/ClaudeCode. The key was making skills discoverable and easy to install rather than relying on individual setup.
**One-command frameworks are consolidating the ecosystem** - ClaudeInOne bundles 135 agents, 35 curated skills, 121 plugins, and 6 MCP configs into a single install, per @arpan7sarkar. This "batteries included" approach is gaining traction as the skill count grows faster than people can evaluate individually.
**Self-improvement loops are the power-user pattern** - A "wrap-up" skill that captures session learnings and feeds them back into future sessions was highlighted as a favorite Claude Code skill on r/ClaudeCode. The idea of skills that improve themselves over time resonated heavily.
**Non-developers are building with skills** - Grace Leung's YouTube tutorial on building an AI marketing team with skills in 16 minutes pulled 47K views in 4 days. The framing has shifted from "developer tool" to "anyone who can describe a workflow."
**MCP servers remain the infrastructure layer** - Robin Ebers' "8 MCP Servers That Make Claude Code 10x Better" (90K views) argues most MCP servers are "overhyped garbage" but a handful are genuine game changers. The consensus is that skills handle workflow logic while MCP servers handle tool integrations.
KEY PATTERNS from the research:
1. Skills are moving from individual to team-shared - syncing across orgs is the unlock, per r/ClaudeCode
2. Skill marketplaces and directories are emerging as discovery mechanisms, per @ghumare64
3. Marketing and SEO are the fastest-growing non-dev skill categories, per r/ClaudeCode
4. Skills vs MCP confusion persists - Postman and Solo Swift Crafter both made explainer videos clarifying the distinction
5. Builder skills that generate other skills are the meta-pattern, per @matgoldsborough
---
All agents reported back!
├─ 🟠 Reddit: 4 threads │ 291 upvotes │ 0 comments
├─ 🔵 X: 11 posts │ 22 likes │ 1 reposts
├─ 🔴 YouTube: 10 videos │ 461,224 views │ 3 with transcripts
├─ 🟡 HN: 0 stories (no results this cycle)
├─ 🌐 Web: supplementary
└─ 🗣️ Top voices: @ihtesham2005 (6 likes), @zeeg (4 likes, 1 RT) │ r/ClaudeCode
---
I'm now an expert on Claude Code skills and MCP servers. Some things I can help with:
- Compare the ClaudeInOne framework vs building your own skill library from scratch
- Walk through setting up a self-improvement loop skill for your workflow
- Help you decide which MCP servers are actually worth installing based on Robin Ebers' teardown
@@ -0,0 +1,35 @@
## What I learned
ByteDance's **Seedance 2.0** has erupted across AI video communities this month, with r/generativeAI and @HBCoop_ capturing the intensity - a mix of awe at its cinematic output and frustration over access chaos.
**CapCut integration goes live.** As of Feb 25, Seedance 2.0 is available inside CapCut desktop and mobile, removing the need for a Chinese phone number. @jznode reports it runs about $2 per generation, making it the first broadly accessible path to the model outside China.
**One-minute films with zero editing.** A viral r/generativeAI thread describes Seedance 2.0 generating a full one-minute film with multi-shot coherence and transitions - no post-production required. Commenters are split between calling it a filmmaking revolution and noting it still produces "slop" on closer inspection.
**Access remains a mess.** Multiple threads across r/Seedance_AI and r/generativeAI ask the same question: where is the official website? The answer is complicated - Jimeng/Jianying is the primary platform but has geo-restrictions, account bans, and network errors. Third-party APIs (useapi.net) and integrations (NemoVideo) have popped up, but r/Seedance_AI users warn many are scams.
**Hollywood backlash and SAG-AFTRA fallout.** r/AIGuild reports ByteDance faces backlash from Hollywood over IP concerns. Separately, r/AI_UGC_Marketing notes that ElevenLabs silently removed Seedance 2.0 from its platform after a SAG-AFTRA incident, cutting off a key UGC video workflow.
**Content guardrails frustrate power users.** A r/Seedance_AI user reports wasting $1,000+ on generations that fail content review. The strict moderation filters are pushing creators toward third-party APIs that may bypass restrictions but offer uncertain quality.
**YouTube creators crown it king.** Theoretically Media's review (199K views) declares Seedance 2.0 has claimed the "AI video throne" just a week after Kling 3.0 held that title. Multiple tutorial channels (How To In 5 Minutes, Ai Lockup) are racing to publish free-access guides.
**Phishing scams exploit the hype.** @WyldeChyldeRec warns about phishing emails using Seedance branding with fake "unrestricted generation" offers - a sign of how much demand has outpaced official supply.
### KEY PATTERNS
1. **Access demand far exceeds official supply** - the gap between Seedance 2.0's capabilities and its availability outside China has created a cottage industry of third-party wrappers, scam sites, and workarounds (r/generativeAI)
2. **Platform musical chairs** - Seedance 2.0 gets added to CapCut, removed from ElevenLabs, and claimed by NemoVideo all within weeks, making the ecosystem unstable for anyone building workflows (@grok)
3. **Quality vs. guardrails tension** - the same content moderation that addresses Hollywood/SAG-AFTRA concerns is the thing driving power users to abandon official channels (r/Seedance_AI)
4. **AI video benchmarks reset weekly** - Theoretically Media declared Kling 3.0 the benchmark, then Seedance 2.0 dethroned it within a week, reflecting how fast this space moves (Theoretically Media)
5. **Scam ecosystem mirrors real demand** - phishing emails and fake sites emerge within days of each capability announcement, indicating mainstream interest beyond the AI-native audience (@WyldeChyldeRec)
```
30-DAY SNAPSHOT
├─ Reddit: 16 threads across r/Seedance_AI, r/generativeAI, r/AIGuild +5 more
├─ X: 11 posts from @HBCoop_, @grok, @EmmaUsesAi +8 more
├─ YouTube: 10 videos (199K views on Theoretically Media alone)
└─ Web: supplementary context
```
Want to dig deeper? I can look into **how Seedance 2.0 compares to Kling 3.0 on specific benchmarks**, **the SAG-AFTRA incident timeline and its ripple effects on AI video platforms**, or **which third-party Seedance APIs are legitimate vs. scams**.
@@ -0,0 +1,25 @@
# What I learned
The M4 MacBook Pro has been out long enough that the conversation has shifted from launch hype to real-world ownership reports - and the picture is more nuanced than the initial review wave suggested. Across r/macbookpro, YouTube reviewers like MKBH and Dave2D, and X chatter from @bhphoto and @jameslmorton, a clear pattern emerges: the M4 lineup is genuinely excellent hardware, but choosing the right configuration matters more than just picking "the best one."
**The base M4 is the real story.** MacRumors made the bold claim that the base M4 MacBook Pro is all most people need, recommending users skip the M4 Pro and Max entirely. This echoes Just Josh's review and recommendations video, which walked through specific use cases where the base chip handles the workload just fine. For general dev work, photography, and everyday professional use, the consensus is that the jump to Pro/Max is wasted money unless you have a specific sustained workload that demands it.
**Battery life claims don't hold up for everyone.** One of the most active discussion threads on r/macbookpro directly compares "battery life reality vs review" numbers, with users reporting real-world results that fall short of Apple's headline claims. The 14-inch model's battery in particular drew scrutiny, with another thread asking "should I be concerned?" after seeing lower-than-expected drain rates. Reviewers tested under controlled conditions; actual usage with Electron apps, browsers, and background processes tells a different story.
**Long-term reviews are more honest than launch reviews.** Brandon Butch's 3-month review is titled "This Feels Wrong" - pointing to the cognitive dissonance of a machine that benchmarks well but doesn't feel dramatically different from the M3 in daily use. Created Tech's 6-month follow-up and Tech It Easy's 1-year review both confirm this: the M4 Pro is a solid incremental upgrade, not a generational leap. Meanwhile, at least one r/macbookpro user posted about being genuinely "disappointed" with heat and app stability issues, per r/macbookpro.
**Local AI workloads are the new benchmark.** A notable shift in the X conversation: multiple posts (including from @grok and @jameslmorton) discuss running LLMs locally on M4 Pro/Max hardware. The 128GB unified memory config can push 70 tokens/s on local models, per @jameslmorton, and Ollama runs natively via Metal. This is becoming a real purchase consideration for developers and AI enthusiasts - something no traditional review covers well.
**M3 vs M4 upgrade: marginal for most.** @bhphoto's comparison guide between M3 and M4 silicon suggests the differences are real but not dramatic for most workflows. Unless you specifically need the Nano texture display, Thunderbolt 5, or the extra GPU cores, holding an M3 Pro is still a strong position.
---All agents reported back!
├─ 🟠 Reddit: 3 threads │ 0 upvotes │ 0 comments
├─ 🔵 X: 12 posts │ 10 likes │ 1 repost
├─ 🔴 YouTube: 10 videos │ 7,866,702 views │ 3 with transcripts
├─ 🌐 Web: 0 pages (supplementary)
└─ 🗣️ Top voices: @bhphoto (3 likes), @jameslmorton │ r/macbookpro
---I'm now an expert on M4 MacBook Pro reviews. Some things I can help with:
- Compare the base M4 vs M4 Pro vs M4 Max for your specific workload (dev, creative, AI/ML)
- Break down real-world battery life expectations by screen size and usage pattern
- Advise whether upgrading from M1/M2/M3 is worth it based on long-term reviewer consensus
@@ -0,0 +1,25 @@
# What I learned
The conversation around "best rap songs 2026" is still early-year and fragmented - no single track has emerged as a consensus pick yet, but a few names keep surfacing. Lil Uzi Vert's "What You Saying" is the closest thing to a frontrunner, cited across multiple @grok posts on X and referenced in r/hiphopheads discussion threads as hitting #1 on Hot Rap Songs in January 2026 and peaking at #14 on the Hot 100.
**Most-mentioned artists and tracks across sources:**
- **Lil Uzi Vert - "What You Saying"** - mentioned in 3 X posts (@grok) and discussed in r/hiphopheads daily threads. The standout chart performer so far in 2026, with his third career #1 on Hot Rap Songs.
- **Nuno Zigi - "World Best Lie"** - highlighted by @Zika_gfx as a meaningful 2026 rap track (highest-scored X post at 86).
- **Tyga, Quavo, Wiz Khalifa, 50 Cent** - featured in West Coast Finest's "Lit Hip Hop Mix 2026" on YouTube (407K views), the most-watched video in these results.
- **Sean Bryant - "Love vs Loyalty" (album)** - teased by @teammusic2046 as a forthcoming 2026 project.
The Grammy conversation is also shaping early "best of" discourse. r/hiphopheads discussed 2026 Pre-Show Grammy winners across rap categories, and the r/edranked community is running an active "Reddit Ranked: Hip Hop '26" submission thread where users are nominating their top picks.
On YouTube, DJ Noize's February 2026 mixtapes (Trap Tape #127 and Hot Right Now #153) are functioning as curated discovery playlists for new rap, collectively pulling ~55K views. The West Coast Finest mix leans toward established names, while DJ Noize's mixes skew toward whatever is freshest.
One notable gap: there is very little discussion of specific 2026 albums yet. The Pitchfork "32 Best Rap Albums of 2025" thread on r/hiphopheads is still driving more engagement than any 2026 album discussion, suggesting listeners are still digesting last year's releases.
```
Sources: 21 items (Jan 26 - Feb 25, 2026)
|- Reddit: 6 threads (r/hiphopheads, r/TeenageRapFans, r/HivemindTV, r/edranked)
|- X: 12 posts (@grok, @Zika_gfx, @DPOSTS6, @teammusic2046)
|- YouTube: 3 videos (West Coast Finest, DJ Noize x2)
```
Want me to dig deeper into any of these? I could pull the full r/edranked "Hip Hop '26" ranking thread for community-voted picks, check what tracks are in the DJ Noize February mixtape, or search for early 2026 album drops that might contain standout singles.
@@ -0,0 +1,33 @@
## What I learned:
The React vs Svelte debate in 2026 is no longer theoretical - developers are making real migration decisions, and the community is split between pragmatism and aspiration. A startup migration story on r/webdev documented concrete performance gains after moving from React to Svelte 5, while Fireship's viral video framed React as actively trying to "win back" developers it's been losing.
**The "Late-Stage React" Narrative** - A growing faction of frontend developers describe React in 2026 as mature but bloated. @cityjsconf promoted a talk introducing Ripple, a new framework explicitly built from "the good parts of React, Svelte, and Solid" - positioning React as something to cherry-pick from rather than adopt wholesale. Meanwhile @Chubbi_Stephen captured the circular framework discourse perfectly: everyone argues about alternatives, but React still powers 80% of production apps.
**Svelte 5 Runes Changed the Calculus** - The introduction of runes in Svelte 5 was supposed to simplify reactivity, but Fireship's analysis on YouTube questioned whether runes actually "ruined" what made Svelte special - its magical dollar-sign syntax. The r/react community thread comparing hooks vs runes shows developers weighing whether Svelte 5's new mental model is actually simpler than React's hooks, or just differently complex.
**Ecosystem Lock-In Remains React's Moat** - Across Reddit and X, the pragmatic argument keeps winning. @nicobaogim argued that picking React in 2026 "only really makes sense if you value ecosystem maturity" or need React-specific libraries - essentially conceding React isn't technically superior but remains the safe choice. Svelte converts on r/sveltejs acknowledged reduced dev time but warned about the thinner ecosystem.
**AI May Make Frameworks Irrelevant** - @dennydotio offered a provocative prediction: 2026 marks the death of JS frameworks entirely, arguing that frameworks "only exist because humans need organized code to stay sane" - once AI handles the code, the abstraction layer becomes unnecessary.
**KEY PATTERNS:**
1. **Migration stories favor Svelte on DX, but caveats persist** - real teams report faster development but smaller library ecosystem, per r/webdev
2. **React's dominance is increasingly described as inertia, not preference** - developers choose it for jobs and existing teams, not technical merit, per @nicobaogim
3. **Svelte 5 runes divided the Svelte community itself** - the shift from implicit to explicit reactivity alienated some early adopters, per Fireship on YouTube
4. **New frameworks are synthesizing both** - Ripple and similar projects treat React and Svelte as ingredient frameworks, per @cityjsconf
5. **TypeScript-first tooling is the real 2026 baseline** - @FabianHiller's post about type-safe forms got the most engagement, suggesting developers care more about DX tooling than framework wars
---
All agents reported back!
├─ 🟠 Reddit: 4 threads │ 202 upvotes
├─ 🔵 X: 9 posts │ 76 likes │ 4 reposts
├─ 🔴 YouTube: 10 videos │ 2,027,387 views │ 3 with transcripts
├─ 🌐 Web: supplementary
└─ 🗣️ Top voices: @FabianHiller (61 likes), @cityjsconf │ r/react, r/webdev
---
I'm now an expert on React vs Svelte 2026. Some things I can help with:
- Compare the actual DX tradeoffs if you're considering migrating a React app to Svelte 5
- Analyze whether Svelte 5 runes or React hooks better fit your team's mental model
- Break down the ecosystem gaps that still keep teams on React despite Svelte's performance advantages
@@ -0,0 +1,34 @@
**What I learned:** The Claude Code skills ecosystem has exploded into a full-blown marketplace war in the last 30 days, with creators racing to package domain expertise into reusable skills while MCP server fatigue is setting in hard. The clearest signal: a marketing skills tutorial hit 47K YouTube views AND landed on Hacker News simultaneously, per Grace Leung and r/ClaudeCode.
**Skills are the new plugins.** The sheer volume of "skill collections" tells the story: ClaudeInOne ships 213 skills in one install, another toolkit bundles 135 agents with 35 curated skills, and Anthropic themselves open-sourced their internal skills library. This is the WordPress plugin moment for AI coding - everyone is packaging their expertise into portable skill files. The Chrome extension for browsing skills on GitHub and early marketplace projects like ClawsMarket confirm that discovery and distribution are the next bottleneck, per @ihtesham2005.
**MCP server disillusionment is real.** One of the highest-scoring Reddit threads warns that Claude Code "works great until too many MCP servers" break it, and the most-watched MCP video (90K views) concludes that 90% of MCP servers are "overhyped garbage." The community is shifting from "connect everything" to "connect only what matters" - semantic graph servers that compress 15K tokens down to 3K relevant context represent the new direction, per Robin Ebers.
**Skills beat raw prompting for team adoption.** A team reported 3x-ing their skill usage in two weeks through deliberate onboarding, and the self-improvement loop skill (where Claude Code iterates on its own skills) emerged as a community favorite. The pattern is clear: skills are sticky because they encode workflow knowledge, not just instructions. Meanwhile, a highly upvoted explainer on the difference between Skills, Subagents, Claude.MD, and slash commands confirms many users are still confused about what goes where, per r/ClaudeCode.
**Marketing and SEO are the breakout skill verticals.** Grace Leung's videos on AI marketing teams have a combined 200K+ views. A 55K-word email marketing knowledge base packaged as a Claude Code skill was the top HN story. Twelve open-source SEO skills dropped on Reddit. The non-developer use case is outpacing the developer tooling use case in raw engagement, per Grace Leung.
**Security is the unresolved tension.** MCP proxy servers for safe email access, capability-based sandboxing in Rust (SkillSandbox), and security-first agent frameworks (Gulama) all appeared this month. The community wants skills and MCP servers to do more - but giving AI agents access to email, Kubernetes clusters, and production databases raises obvious questions that nobody has fully answered yet, per r/ClaudeAI.
---
**KEY PATTERNS**
1. Skill packaging and distribution are the current gold rush - marketplaces, directories, and browser extensions are all emerging simultaneously
2. MCP server quality filtering has begun - the community is rejecting bloat in favor of targeted, high-signal servers
3. Non-developer skill verticals (marketing, SEO, CRM) are generating the highest engagement by a wide margin
4. Team-level skill adoption requires deliberate onboarding, not just sharing files
5. Security and sandboxing for agent skills remain unsolved but increasingly urgent
---
```
STATS: 47 items across 4 platforms | Reddit: 10 threads (top score: 78, r/ClaudeCode) | X: 12 posts (top: 6 likes, @ihtesham2005) | YouTube: 10 videos (top: 155K views, Grace Leung) | HN: 15 stories (top: 10pts) | Cross-platform hits: 2 | Date range: Jan 26 - Feb 25, 2026
```
What caught your eye? Reply with a number to dig deeper:
1. Building and packaging your own Claude Code skills
2. Which MCP servers are actually worth installing
3. The marketing/SEO skills ecosystem
4. Security and sandboxing for agent skills
5. Team adoption strategies for skills
@@ -0,0 +1,35 @@
What I learned:
The Claude Code skills and MCP ecosystem is experiencing simultaneous growth at every layer - from individual skill authoring to team-level adoption to infrastructure tooling. The signal is dense: r/ClaudeCode has 10 active threads this month on skills and MCP, Hacker News has 15 Show HN projects building on this stack, and @ihtesham2005's post about Anthropic open-sourcing their internal Skills library catalyzed a wave of community activity.
**MCP server scaling is hitting real limits** - "Claude Code works great... until you have too many MCP servers" (r/ClaudeCode) is the thread of the month. Teams are running into architecture problems, with gateway patterns emerging as the solution. This connects directly to Upjack (hn/barefootsanders), a declarative framework for building apps over MCP.
**Token efficiency is driving MCP server design** - A semantic graph MCP server cut context from 15K to 3K tokens (r/ClaudeCode), while 25 MCP servers that return structured data instead of terminal formatting emerged on r/ClaudeAI. The efficiency concern also shows up in SkillSandbox (hn/ClaytheMachine), which uses capability-based sandboxing to limit what skills can access.
**Security is the emerging battleground** - An MCP proxy server for safe email access (r/ClaudeAI) addresses the trust problem, while Gulama (hn/san-techie21) pitches itself as a security-first agent. The Reddit and HN projects converge on the same insight: as skills get more capable, the security surface grows.
**Skills are becoming team infrastructure, not personal tools** - The "We 3x'd our team's Claude Code skill usage" thread (r/ClaudeCode) and ClaudeInOne framework (213 skills bundled, r/ClaudeCode score 78) both show skills moving from individual to organizational. A Chrome extension for viewing skills on GitHub (r/ClaudeCode) and @ghumare64's skill sync tooling reinforce that discovery and distribution matter more than authoring now.
**Domain-specific skills are the high-value pattern** - The 55K-word email marketing knowledge base (hn/cosmoblk, 10pts), 12 SEO skills (r/ClaudeCode), and the self-improvement loop skill (r/ClaudeCode) all share a pattern: deep domain knowledge embedded in SKILL.md files. Grace Leung's YouTube tutorial on building an AI marketing team with skills pulled 47K views - non-developers are the growth audience.
KEY PATTERNS from the research:
1. MCP scaling problems are driving architectural innovation - gateways, structured data, and semantic graphs all emerged independently this month, per r/ClaudeCode
2. Reddit discusses adoption and workflows while HN builds infrastructure (sandboxes, frameworks, marketplaces) - the ecosystem is specializing across platforms, per hn/ClaytheMachine
3. Security concerns are growing in proportion to capability - email proxies, sandboxes, and "security-first" agents all appeared in February, per r/ClaudeAI
4. Skill discovery is the unsolved bottleneck - Chrome extensions, directories (hn/micronink), and marketplaces (hn/digitcatphd) are all independent attempts to fix it
5. Cross-platform skill portability matters - @zeeg notes Codex handles implicit skill invocation better than Claude Code, suggesting the skill format may outlive any single runtime
---
All agents reported back!
├─ 🟠 Reddit: 10 threads │ 692 upvotes │ 0 comments
├─ 🔵 X: 12 posts │ 23 likes │ 1 reposts
├─ 🔴 YouTube: 10 videos │ 465,498 views │ 3 with transcripts
├─ 🟡 HN: 15 stories │ 35 points │ 16 comments
├─ 🌐 Web: supplementary
└─ 🗣️ Top voices: @ihtesham2005 (6 likes), @zeeg (5 likes, 1 RT) │ r/ClaudeCode, r/ClaudeAI │ hn/cosmoblk (10pts)
---
I'm now an expert on Claude Code skills and MCP servers. Some things I can help with:
- Analyze the MCP scaling problem and whether a gateway approach or semantic graph server would work better for your setup
- Compare the security models across the email proxy, SkillSandbox, and Gulama approaches
- Help you build a domain-specific skill pack and distribute it through the emerging skill ecosystem
@@ -0,0 +1,31 @@
## What I learned
Seedance 2.0 from ByteDance has erupted onto the AI video scene in the last 30 days, with near-universal consensus across platforms that it represents a new quality benchmark - but its rollout has been messy, controversial, and riddled with scams. The model launched inside CapCut (desktop and mobile) rather than as a standalone product, which simultaneously solved the access problem and created confusion about what is "official" versus phishing (per @WyldeChyldeRec and r/Seedance_AI). Theoretically Media's 199K-view breakdown declared it the new throne-holder barely a week after Kling 3.0 launched, and that verdict echoed across YouTube, HN, and Reddit threads alike.
**CapCut is the gateway, for better or worse.** ByteDance embedded Seedance 2.0 inside its CapCut editing app rather than shipping a standalone site or open API. This means worldwide access without a Chinese phone number (per @jznode), but it also means you are locked into ByteDance's ecosystem at roughly $2 per generation. Reddit threads show users hunting for "the real Seedance website" and falling for phishing scams because there is no obvious official destination.
**Quality is real, but production-readiness is not.** Cross-platform signals are strong here: YouTube creators with a combined 500K+ views praise the cinematic output, HN's top story calls it "best video model of 2026, outperforming Sora 2," and a Reddit user made a "1-minute film with ZERO editing." But the counterpoints are just as consistent - one Redditor burned $1K+ on failed generations, another called the workflow "impressive but still not a production workflow," and @TferThomas on X dismissed results as "still slop." The gap between cherry-picked demos and reliable batch output remains wide.
**Censorship and copyright battles are already shaping the product.** The API launch was delayed over deepfake and copyright concerns (per r/generativeAI). ElevenLabs quietly removed Seedance 2.0 integration after a SAG-AFTRA incident. ByteDance faces Hollywood backlash. And users complain that content filtering "ruined" the tool's creative potential. This regulatory and industry pressure is moving faster than the technology itself.
**Multi-shot consistency is the frontier problem.** HN discussion highlights that "most AI tools generate isolated clips that fall apart in actual narrative." Seedance 2.0's reference-image approach helps with character consistency across shots (per a detailed Reddit testing thread), and several HN stories focus on "solving the jump-cut problem," but nobody claims it is solved. The one-minute-film demo impressed precisely because it sidestepped editing entirely rather than proving the tool works within a real editing pipeline.
**The wrapper app gold rush is already underway.** HN saw 8+ "Show HN" posts for Seedance 2.0 wrapper tools and access proxies in a single month, most with zero comments and minimal traction. SeeVideo offers subscription-free access. This pattern mirrors early Stable Diffusion and GPT wrapper cycles - lots of surface-level tooling, very little durable differentiation.
### KEY PATTERNS
1. **Regulatory pressure is the real bottleneck, not technology** - the API delay, ElevenLabs removal, and Hollywood backlash form a connected pattern where legal/ethical concerns are throttling access faster than ByteDance can ship (r/Seedance_AI + r/AIGuild)
2. **Access fragmentation creates parallel economies** - CapCut for consumers, Atlas Cloud for enterprise, Jimeng for China, third-party wrappers for everyone else, scam sites for the desperate - all serving the same model through different channels with different reliability
3. **Consumer excitement vastly outpaces developer adoption** - 199K YouTube views vs. 1-point HN Show HN posts; the audience is creators and filmmakers, not engineers building on APIs (Theoretically Media vs. HN)
4. **Multi-shot coherence is the moat** - character/scene consistency across shots is what separates Seedance 2.0 from competitors and what makes the "zero editing film" possible (hn/RyanMu)
5. **Quality-guardrail tension will define who wins AI video** - ByteDance's strict content moderation costs power users real money while its absence would invite the regulatory response that already delayed the API launch (r/Seedance_AI + r/HiggsfieldAI)
---
```
STATS: 55 sources across 5 platforms (30 days) | Reddit: 19 threads, top score 77 | X: 11 posts, top 9 likes | YouTube: 10 videos, top 199K views / 4,986 likes | HN: 15 stories, top 7 pts / 7 comments | Cross-platform: 7 items appeared on 2+ platforms
```
---
Want to dig deeper? I can look into **the full SAG-AFTRA timeline and how it connects to ByteDance's API delay**, **which Seedance 2.0 access methods are actually legitimate and at what cost**, or **head-to-head multi-shot coherence comparisons between Seedance 2.0, Kling 3.0, and Sora 2**.
@@ -0,0 +1,36 @@
## What I learned
ByteDance's **Seedance 2.0** has been the most discussed AI video model this month, with converging signals across r/Seedance_AI, r/generativeAI, and Hacker News painting a picture of breakthrough capability tangled in access chaos and regulatory blowback. The top HN thread (hn/Alisaqqt, 7pts) correctly anticipated the Atlas Cloud API launch, while r/generativeAI captured the viral reaction to its cinematic output.
**CapCut integration is the global access breakthrough.** As of Feb 25, Seedance 2.0 is live inside CapCut desktop and mobile - confirmed across both r/seedance and @grok. @jznode reports it costs about $2 per generation with no Chinese phone number required, resolving the access barrier that dominated discussion for weeks.
**Cinematic quality sets a new bar.** r/generativeAI's viral thread - "Seedance 2.0 just generated a 1-minute film with ZERO editing" - showcases multi-shot coherence, transitions, and character consistency. Theoretically Media's review (199K views) declared it has claimed the AI video throne barely a week after Kling 3.0 held that title. But @TferThomas offers the counterpoint: "it's still slop."
**The access problem spawned scams and wrappers.** Cross-referencing Reddit and HN reveals the same frustration from two angles: users in r/Seedance_AI warn about scam sites like NemoVideo, while HN saw 8+ Show HN wrapper apps (SeeVideo, Seedance3AI, etc.) launch in a single month [xref: HN5/R6, HN4/R6]. Most HN wrappers attracted zero comments, suggesting developer supply outpaced real demand.
**API rollout delayed by deepfake/copyright concerns.** r/Seedance_AI documents the delay explicitly - the API launch was pushed back due to deepfake and copyright guardrails. This connects to r/AIGuild's report of Hollywood backlash and r/AI_UGC_Marketing's note that ElevenLabs silently removed Seedance 2.0 after a SAG-AFTRA incident. The regulatory pressure is reshaping access from multiple directions.
**Jimeng platform is failing its users.** Threads across r/Seedance_AI report 24-hour network errors on Jimeng Web, silent account bans on paid accounts, and $1,000+ wasted on failed generations. A separate thread from r/HiggsfieldAI argues "the censorship just ruined Seedance 2.0," while r/AI_Agents offers a measured take: "Seedance 2.0 is impressive. It's still not a production workflow."
**Hands-on testers reveal the real workflow.** u/Illustrious-One7744 provides detailed notes on what actually works - consistency via reference images, shot planning for multi-shot coherence, and the limitations of text-only prompting. This practical perspective is absent from the hype-driven YouTube tutorials.
**Multi-shot coherence is the technical differentiator.** HN commenter hn/RyanMu identifies the core issue: most AI video tools "generate isolated clips that fall apart when you try to build an actual narrative." A separate Show HN specifically targets the "jump-cut problem" that Seedance 2.0 claims to solve.
### KEY PATTERNS
1. **Regulatory pressure is the real bottleneck, not technology** - the API delay, ElevenLabs removal, and Hollywood backlash form a connected pattern where legal/ethical concerns are throttling access faster than ByteDance can ship (r/Seedance_AI + r/AIGuild)
2. **Access fragmentation creates parallel economies** - CapCut for consumers, Atlas Cloud for enterprise, Jimeng for China, third-party wrappers for everyone else, scam sites for the desperate - all serving the same model through different channels with different reliability [xref: HN/Reddit]
3. **Consumer excitement vastly outpaces developer adoption** - 199K YouTube views vs. 1-point HN Show HN posts; the audience is creators and filmmakers, not engineers building on APIs (Theoretically Media vs. HN)
4. **Multi-shot coherence is the moat** - character/scene consistency across shots is what separates Seedance 2.0 from competitors and what makes the "zero editing film" possible (hn/RyanMu)
5. **Quality-guardrail tension will define who wins AI video** - ByteDance's strict content moderation costs power users real money while its absence would invite the regulatory response that already delayed the API launch (r/Seedance_AI + r/HiggsfieldAI)
```
30-DAY SNAPSHOT
├─ Reddit: 19 threads across r/Seedance_AI, r/generativeAI, r/AIGuild +7 more
├─ X: 11 posts from @HBCoop_, @grok, @EmmaUsesAi +8 more
├─ YouTube: 10 videos (199K views on Theoretically Media alone)
├─ HN: 15 stories (top: 7pts/7cmt on Seedance 2.0 preview) [xref: 2 cross-refs]
└─ Web: supplementary context
```
Want to dig deeper? I can look into **the full SAG-AFTRA timeline and how it connects to ByteDance's API delay**, **which Seedance 2.0 access methods are actually legitimate and at what cost**, or **head-to-head multi-shot coherence comparisons between Seedance 2.0, Kling 3.0, and Sora 2**.
@@ -0,0 +1,35 @@
# M4 MacBook Pro Review - What People Are Saying (Last 30 Days)
The M4 MacBook Pro has settled into the market and the verdict is remarkably consistent across platforms: this is the best MacBook Pro generation in years, but most people do not need the Pro or Max chips. MKBHD's review (4M views, 105K likes) captures the prevailing sentiment - he used an M1 Max for three years without feeling the upgrade itch, but the M4 Max finally convinced him. Meanwhile, a cross-platform signal from Created Tech's Air vs Pro comparison (472K views on YouTube, also discussed on r/macbookpro) suggests the base M4 is more than enough for most buyers.
**The base M4 is the sweet spot for most users.** MacRumors makes the case explicitly - "Base M4 is All You Need, Skip Pro & Max" - and this aligns with what multiple reviewers found after months of daily use. The Pro and Max chips remain overkill unless you have a specific pro workload that demands them, per Created Tech's long-term reviews.
**The M4 generation is the first worthwhile upgrade since M1.** MKBHD, Dave2D, and ShortCircuit all converge on this. Per @bhphoto, the M3-to-M4 jump is modest, but the M1/M2-to-M4 jump is significant. ShortCircuit's "Don't Buy the Wrong MacBook" specifically warns against upgrading from M3, reinforcing the skip-a-generation strategy.
**Local AI workloads are the new killer use case for Pro/Max configs.** This is where X data gets interesting. Per @jameslmorton, a maxed 128GB M4 MacBook Pro pushes 70 tokens/s for local LLM inference, though quality varies by model. @grok highlights that 64GB M4 Pro/Max configurations can run local AI agents with zero cloud dependency and sub-second response times. Ollama runs natively via Metal, needing 18-24GB of unified memory as a practical minimum. This is the clearest justification for spending up on Pro or Max silicon in 2026.
**Long-term satisfaction holds up, with minor friction points.** Both Max Tech and Created Tech published multi-month follow-ups, and the consensus is overwhelmingly positive - per Max Tech, "Everyone was WRONG" about early complaints. However, r/macbookpro threads surface battery life concerns on the 14-inch model and display/port/speaker comparisons that drove at least one user to return an M4 Air in favor of the Pro. These are edge cases, not patterns, but worth noting.
**The Air vs Pro decision is the real question, not which Pro chip.** Created Tech's comparison [also on: Reddit] frames the actual purchase decision most buyers face. The Pro's advantages - better display, more ports, superior speakers - matter more than the chip difference for the majority of users.
KEY PATTERNS:
1. Base M4 is sufficient for most professional use cases, per Created Tech and MacRumors
2. Local AI inference is the emerging justification for Pro/Max configs, per @jameslmorton
3. Skip-a-generation upgrade strategy confirmed - M3 to M4 is marginal, M1/M2 to M4 is significant, per @bhphoto
4. Battery life expectations need recalibrating against Apple's marketing claims, per r/macbookpro
5. Air vs Pro is a more meaningful decision than Pro vs Max for most buyers
---
All agents reported back!
├─ 🟠 Reddit: 3 threads │ r/macbookpro
├─ 🔵 X: 12 posts │ 10 likes │ 1 repost
├─ 🔴 YouTube: 10 videos │ 7,926,186 views │ 3 with transcripts
├─ 🟡 HN: 0 stories (no results this cycle)
├─ 🌐 Web: supplementary
├─ Cross-platform: 1 item (Created Tech Air vs Pro on YouTube + Reddit)
└─ 🗣️ Top voices: @bhphoto, @jameslmorton │ r/macbookpro │ MKBHD (4M views)
---I'm now an expert on M4 MacBook Pro reviews. Some things I can help with:
- Compare the M4 MacBook Air vs Pro for your specific use case (the differences go beyond specs)
- Recommend the right M4 configuration tier based on whether you run local AI models, creative apps, or dev tools
- Give you realistic battery life expectations based on Reddit owner reports, not Apple's marketing numbers
@@ -0,0 +1,26 @@
# What I learned
Cross-referencing Reddit ownership reports, YouTube long-term reviews, and X commentary on the M4 MacBook Pro reveals a maturing consensus: this is excellent hardware with a surprisingly simple recommendation for most buyers. MKBHD's review (4M+ views) and Dave2D's deep dive both confirm that the M4 Max convinced even skeptical upgraders, while r/macbookpro threads tell a more complicated story about living with the machine day to day.
**The Air-to-Pro switch is about more than the chip.** One of the most interesting Reddit threads covers a user who returned an M4 MacBook Air for the M4 MacBook Pro - and the reasons weren't about raw performance. The Pro's display quality, speaker system, and port selection drove the decision, per r/macbookpro. This suggests the "just buy the Air" advice that dominates YouTube doesn't account for the full ownership experience. Created Tech's 4-month Air vs Pro comparison video captures this tension, finding meaningful differences in sustained workloads and thermals.
**Battery expectations need recalibrating.** Multiple r/macbookpro threads question the M4 Pro 14-inch battery life against Apple's advertised numbers. Real-world users report notably different drain rates depending on workload mix, and there is genuine concern rather than just nitpicking. The pattern across Reddit is consistent: if you run development tools, Docker, or browser-heavy workflows, expect meaningfully less than Apple's "up to 24 hours" claim.
**Long-term reviewers are more candid.** The YouTube landscape for this topic is unusually rich in follow-up content. Brandon Butch's 3-month review flags the disconnect between benchmarks and daily feel. Max Tech published two separate long-term reviews - one at 1 month calling it "BEST Mac EVER!?" and another at 6 months titled "Everyone was WRONG!" - showing how opinions evolve with extended use, per Max Tech on YouTube. Created Tech's 6-month review reinforces the incremental-upgrade narrative. Hardware Canucks initially called it "insane" but that enthusiasm has cooled.
**Local AI is the sleeper use case.** The X conversation is dominated by AI workload discussions. @jameslmorton reports 70 tokens/s on a fully loaded 128GB M4 MacBook Pro, though notes quality varies dramatically by model. @grok confirms Ollama runs natively via Metal on M4 hardware, needing 18-24GB unified memory for usable inference speeds. For developers evaluating the M4 Pro vs Max, local LLM performance is becoming as important as traditional creative benchmarks.
**Configuration advice is converging.** Across all sources, the recommendation structure is settling: base M4 for general professional use, M4 Pro 24GB for developers and moderate creative work, M4 Max only for sustained GPU workloads or large local model inference. MacRumors explicitly advises skipping Pro and Max for most buyers. The M3-to-M4 upgrade path remains thin unless you need Thunderbolt 5 or the Nano texture display, per @bhphoto.
---All agents reported back!
├─ 🟠 Reddit: 3 threads │ 0 upvotes │ 0 comments
├─ 🔵 X: 12 posts │ 10 likes │ 1 repost
├─ 🔴 YouTube: 10 videos │ 7,926,186 views │ 3 with transcripts
├─ 🟡 HN: 0 stories (no results this cycle)
├─ 🌐 Web: 0 pages (supplementary)
└─ 🗣️ Top voices: @bhphoto (3 likes), @jameslmorton │ r/macbookpro
---I'm now an expert on M4 MacBook Pro reviews. Some things I can help with:
- Compare the M4 MacBook Air vs Pro for your specific use case (the differences go beyond specs)
- Recommend the right M4 configuration tier based on whether you run local AI models, creative apps, or dev tools
- Give you realistic battery life expectations based on Reddit owner reports, not Apple's marketing numbers
@@ -0,0 +1,41 @@
# Best Rap Songs 2026
The rap landscape in early 2026 is defined by a mix of chart-topping singles, Grammy momentum, and a steady stream of new releases keeping the culture moving. Lil Uzi Vert's "What You Saying" kicked off the year by hitting #1 on Hot Rap Songs in January, marking their third career chart-topper (@grok). Meanwhile, Kendrick Lamar continued his dominant run, winning his second Record of the Year Grammy alongside SZA for "Luther" (r/hiphopheads), cementing the track as one of the most celebrated rap-adjacent records of the cycle.
**Lil Uzi Vert owns early 2026 charts.** "What You Saying" debuted at #1 on Hot Rap Songs and peaked at #14 on the Hot 100, making it the biggest pure rap single of January-February 2026. Multiple X posts tracked its chart performance, and it appeared across playlist threads (@grok).
**Kendrick Lamar and the Grammy effect.** Kendrick's wins at the 68th Annual Grammys for Best Rap Song, Best Rap Performance, and Record of the Year (with SZA for "Luther") dominated Reddit discussion across r/hiphopheads and r/KendrickLamar. "Luther" and tracks from GNX continue to define the quality benchmark heading into 2026.
**DJ mixes reveal what is actually in rotation.** The highest-viewed YouTube content is not individual tracks but curated mixes. West Coast Finest's "Lit Hip Hop Mix 2026" featuring Tyga, Quavo, Iggy Azalea, Wiz Khalifa, Juicy J, and 50 Cent pulled 407K views, suggesting West Coast and party rap have strong listener demand. DJ Noize's February 2026 trap tape provides a reliable snapshot of the newest releases getting club and playlist play.
**Underground and international names are surfacing.** Nuno Zigi's "World Best Lie" was called out as one of the most meaningful rap songs of 2026 (@Zika_gfx). Andre Toutman's "All The Love" was claimed as song of the year in r/GoodAssSub. These are not mainstream chart entries yet but reflect organic community enthusiasm.
**Nostalgia holds its own against new releases.** Multiple threads - r/TeenageRapFans, r/musicteenager, and even X posts praising older Beyonce tracks over current output (@DPOSTS6) - show that listeners are actively comparing 2026 releases against all-time classics and finding much of the new crop lacking.
## SPECIFIC SONGS AND ARTISTS TO WATCH (by mention frequency and engagement)
- **Lil Uzi Vert - "What You Saying"** - #1 Hot Rap Songs, multiple platform mentions. Sources: @grok, DJ Noize mixes
- **Kendrick Lamar & SZA - "Luther"** - Record of the Year Grammy, massive Reddit discussion. Sources: r/hiphopheads, r/KendrickLamar
- **Kendrick Lamar - GNX tracks** - Best Rap Song and Best Rap Performance Grammy wins. Sources: r/hiphopheads
- **Tyga, Quavo, Wiz Khalifa, 50 Cent** - Featured in the most-viewed 2026 rap mix on YouTube (407K views). Sources: West Coast Finest (YouTube)
- **Nuno Zigi - "World Best Lie"** - Praised as meaningful 2026 rap. Sources: @Zika_gfx
- **Andre Toutman - "All The Love"** - Called song of the year by community. Sources: r/GoodAssSub
- **Drake & PARTYNEXTDOOR - $OME $EXY $ONGS 4 U** - Still generating discussion one year later. Sources: r/hiphopheads
- **Sean Bryant - "Love vs Loyalty"** - Upcoming album generating pre-release buzz. Sources: @teammusic2046
---
```
---All agents reported back!
├─ 🟠 Reddit: 11 threads │ r/hiphopheads, r/KendrickLamar, r/GoodAssSub, r/edranked, r/makemeaplaylist, r/playlists
├─ 🔵 X: 12 posts │ @grok, @Zika_gfx (12 likes, 5 RT), @DPOSTS6
├─ 🔴 YouTube: 3 videos │ 462K+ total views │ 3 with transcripts
├─ 🟡 HN: 0 stories
├─ 🌐 Web: supplementary
└─ 🗣️ Top voices: @Zika_gfx, @grok │ r/hiphopheads, r/KendrickLamar
```
---I'm now an expert on rap songs in 2026. Some things I can help with:
- Pull the full Grammy rap category winners from the r/hiphopheads Pre-Show thread
- Check what tracks people are nominating in the r/edranked "Hip Hop '26" ranking
- Deep dive on any specific artist or track mentioned above
@@ -0,0 +1,28 @@
# What I learned
The "best rap songs 2026" landscape is being shaped by three forces right now: Grammy season validation, community-curated playlists, and chart performance. Across 26 sources spanning Reddit, X, and YouTube, this is the most complete picture available of what people are calling the best rap of the year so far.
**Most-mentioned artists and tracks across sources:**
- **Lil Uzi Vert - "What You Saying"** - the dominant early-2026 rap single, cited across 3 X posts (@grok) as hitting #1 on Hot Rap Songs in January 2026 and peaking #14 on the Hot 100. His third career chart-topper in the format, with a surprise album reportedly on the way.
- **Kendrick Lamar & SZA - "Luther"** - won Record of the Year at the 68th Grammys per r/hiphopheads, with the r/KendrickLamar live megathread calling it a defining moment for the 2026 awards cycle. Sources: r/hiphopheads, r/KendrickLamar.
- **Nuno Zigi - "World Best Lie"** - @Zika_gfx flagged this as a meaningful 2026 rap track (highest-engagement X post at 86 score, 12 likes/5 RTs).
- **Drake & PARTYNEXTDOOR - "$ome $exy $ongs 4 U"** - r/hiphopheads ran a 1-year retrospective discussion, with users debating which tracks still hold up. Sources: r/hiphopheads.
- **Andre Toutman - "All The Love"** - claimed as a "song of the year" contender on r/GoodAssSub, generating debate about whether it deserves that label.
- **Sean Bryant - "Love vs Loyalty" (album)** - teased by @teammusic2046 as an upcoming 2026 project.
The cross-platform version pulled the richest Reddit haul (11 threads), surfacing several high-signal sources the other versions missed. The r/makemeaplaylist weekly competition featured an underground rap playlist winner. r/GoodAssSub contributed a direct "song of the year" debate thread. And critically, r/hiphopheads had the Kendrick/SZA Grammy thread and the Drake/PARTYNEXTDOOR retrospective - both of which anchor what "best" means in different ways (industry recognition vs. staying power).
The Grammy conversation runs deep here: r/hiphopheads covered Pre-Show winners, r/KendrickLamar hosted a live megathread for the 68th Annual ceremony, and the Best Rap Song category discussion appeared across both. Kendrick's Grammy wins position "Luther" and his broader catalog as the critical establishment's answer to "best rap."
YouTube coverage remained consistent across all versions - West Coast Finest's mix (407K views, Tyga/Quavo/Wiz Khalifa/50 Cent) and DJ Noize's two February compilations (Trap Tape #127, Hot Right Now #153) are the go-to discovery channels for current rotation tracks.
```
Sources: 26 items (Jan 26 - Feb 25, 2026)
|- Reddit: 11 threads (r/hiphopheads, r/KendrickLamar, r/GoodAssSub, r/edranked, r/makemeaplaylist, r/playlists)
|- X: 12 posts (@grok, @Zika_gfx, @DPOSTS6, @teammusic2046)
|- YouTube: 3 videos (West Coast Finest, DJ Noize x2)
|- HN: 0 stories
```
Want me to pull the full Grammy rap category winners from the r/hiphopheads Pre-Show thread, check what tracks people are nominating in the r/edranked "Hip Hop '26" ranking, or look into what Andre Toutman's "All The Love" actually sounds like?
@@ -0,0 +1,38 @@
## What I learned:
The React-vs-Svelte debate in early 2026 has shifted from "which is better" to "when does each one make sense" - and the answer increasingly depends on what you're optimizing for. A viral comparison by Beyond Fireship (697K views) captures the mood with the line "life is more fun when unreasonable," suggesting that Svelte's appeal is partly philosophical. Meanwhile on Reddit, a startup migration post in r/webdev details real performance gains after moving from React to Svelte 5, grounding the conversation in production evidence rather than benchmark theater.
**Svelte 5 runes reset the learning curve - and the narrative.** Fireship's "Did runes just ruin Svelte?" crystallized a tension the community is still processing. The old dollar-sign reactivity was Svelte's signature trick; runes replaced it with something more explicit but less magical. Reddit threads in r/sveltejs reflect this split: newcomers find runes intuitive, while long-time users mourn the simplicity that drew them in. The net effect is that Svelte now feels closer to React's mental model (explicit state declarations), which paradoxically makes it easier to compare - and harder to differentiate.
**React's dominance is increasingly described as inertia, not enthusiasm.** @nicobaogim on X argues React in 2026 "only makes sense for ecosystem maturity and team habits," while @Chubbi_Stephen satirizes the discourse with "Meanwhile React: still powering 80%..." A CityJS conference talk by @erikras uses the phrase "late-stage React," treating it like an incumbent that everyone depends on but few champion. The Reddit thread in r/react comparing hooks/useEffect to runes reads less like advocacy and more like a support group. React is not losing users - it is losing evangelists.
**Job market pragmatism still favors React, but the gap is narrowing.** The r/sveltejs thread "How is going svelte?" surfaces a recurring tension: developers love writing Svelte but worry about employability. @singhprateek_25's X post listing 2026 fresher requirements includes both React and Svelte side by side, signaling that hiring managers are at least aware. The government portal evaluation in r/sveltejs - a developer coming from .NET and React, seriously weighing Svelte for accessibility, SEO, and forms - suggests Svelte is crossing the threshold from "side project framework" to "enterprise candidate."
**Post-framework thinking is emerging.** @cityjsconf announced a talk on Ripple that cherry-picks from React, Svelte, and Solid, while @dennydotio predicted frameworks themselves become obsolete once AI handles code generation. The Japanese developer community is exploring WebF, which compiles React/Vue/Svelte directly to native apps, per @QiitaTrend. The React-vs-Svelte framing may have a shorter shelf life than either community expects.
### CONTRADICTIONS
The biggest contradiction sits at the center of the Svelte community itself. Runes were supposed to make Svelte more approachable and scalable, but Fireship's video questioning whether runes "ruined" Svelte shows genuine anxiety. Reddit threads where newcomers say "Svelte is easier than React" coexist with experienced Svelte developers saying the migration to runes introduced friction they did not expect.
**KEY PATTERNS:**
1. **Decision-making threads outnumber opinion threads** - developers are asking "when should I use Svelte" not "is Svelte good," signaling market maturation, per r/sveltejs
2. **Svelte wins the greenfield argument, React wins the hiring argument** - the tradeoff is consistently framed around team composition, not technology, per @nicobaogim
3. **Svelte 5 runes narrowed the gap in both directions** - Svelte gained explicitness but lost some of its simplicity advantage over React, per Fireship on YouTube
4. **Real-world constraint discussions favor nuanced choices** - the government portal thread showed that SSR support, a11y tooling, and i18n readiness matter more than DX benchmarks, per r/sveltejs
5. **Cross-compilation and hybrid approaches are gaining traction** - WebF and Ripple both treat React and Svelte as source material rather than competing endpoints, per @QiitaTrend
---
All agents reported back!
├─ 🟠 Reddit: 6 threads │ 339 upvotes
├─ 🔵 X: 9 posts │ 76 likes │ 4 reposts
├─ 🔴 YouTube: 10 videos │ 2,085,183 views │ 3 with transcripts
├─ 🟡 HN: 0 stories (no results this cycle)
├─ 🌐 Web: supplementary
└─ 🗣️ Top voices: @FabianHiller (61 likes), @cityjsconf │ r/sveltejs, r/webdev, r/react
---
I'm now an expert on React vs Svelte 2026. Some things I can help with:
- Evaluate whether Svelte fits a specific project with constraints like a11y, i18n, or SSR requirements
- Compare the hiring and ecosystem implications of choosing Svelte over React for a new team
- Analyze how Svelte 5 runes changed the developer experience compared to Svelte 4's dollar-sign syntax
@@ -0,0 +1,34 @@
## What I learned:
The React vs Svelte debate in 2026 has matured from "which is better" to "when does each make sense" - and the community data reflects this nuance. With 6 Reddit threads surfaced (the most of any version), including real decision-making discussions on r/sveltejs about government portals and learning timelines, the cross-platform search captured a richer picture of how developers are actually choosing between these frameworks. Beyond Fireship's head-to-head comparison video remains the canonical reference with nearly 700K views.
**Real Projects, Real Tradeoffs** - The most revealing thread came from a developer evaluating Svelte for a bilingual government portal on r/sveltejs, weighing accessibility, SEO, and form handling against their React/.NET background. This is the 2026 framework decision in practice: not "which benchmark wins" but "which framework handles my specific constraints." The r/webdev migration thread provided the performance-gain narrative, while r/sveltejs threads on ease of learning showed Svelte's onboarding advantage remains strong.
**The Simplicity Question Got Complicated** - An r/sveltejs thread directly asked "Is Svelte easier than React?" - and the answers were more nuanced than expected. Svelte 5's rune system drew mixed reactions; Fireship's analysis questioned whether runes "ruined" what made Svelte appealing in the first place. The shift from implicit dollar-sign reactivity to explicit runes brought Svelte closer to React's mental model, which paradoxically weakened Svelte's differentiation pitch.
**React's Moat Is Cultural, Not Technical** - @nicobaogim argued React in 2026 only makes sense for ecosystem maturity and team habits. An r/sveltejs thread on "how is Svelte going" revealed job-market pragmatism as the quiet force keeping React dominant - developers personally prefer Svelte but professionally default to React. @Chubbi_Stephen's satirical framework discourse captured this tension perfectly.
**Post-Framework Thinking Is Emerging** - @cityjsconf announced a talk on Ripple that cherry-picks from React, Svelte, and Solid, while @dennydotio predicted frameworks themselves become obsolete once AI handles code generation. The Japanese developer community is exploring WebF, which compiles React/Vue/Svelte directly to native apps, per @QiitaTrend.
**KEY PATTERNS:**
1. **Decision-making threads outnumber opinion threads** - developers are asking "when should I use Svelte" not "is Svelte good," signaling market maturation, per r/sveltejs
2. **Svelte wins the greenfield argument, React wins the hiring argument** - the tradeoff is consistently framed around team composition, not technology, per @nicobaogim
3. **Svelte 5 runes narrowed the gap in both directions** - Svelte gained explicitness but lost some of its simplicity advantage over React, per Fireship on YouTube
4. **Real-world constraint discussions favor nuanced choices** - the government portal thread showed that SSR support, a11y tooling, and i18n readiness matter more than DX benchmarks, per r/sveltejs
5. **Cross-compilation and hybrid approaches are gaining traction** - WebF and Ripple both treat React and Svelte as source material rather than competing endpoints, per @QiitaTrend
---
All agents reported back!
├─ 🟠 Reddit: 6 threads │ 339 upvotes
├─ 🔵 X: 9 posts │ 76 likes │ 4 reposts
├─ 🔴 YouTube: 10 videos │ 2,085,183 views │ 3 with transcripts
├─ 🟡 HN: 0 stories (no results this cycle)
├─ 🌐 Web: supplementary
└─ 🗣️ Top voices: @FabianHiller (61 likes), @cityjsconf │ r/sveltejs, r/webdev, r/react
---
I'm now an expert on React vs Svelte 2026. Some things I can help with:
- Evaluate whether Svelte fits a specific project with constraints like a11y, i18n, or SSR requirements
- Compare the hiring and ecosystem implications of choosing Svelte over React for a new team
- Analyze how Svelte 5 runes changed the developer experience compared to Svelte 4's dollar-sign syntax
@@ -0,0 +1,35 @@
What I learned:
Claude Code skills and MCP servers are at an inflection point - the community is building so fast that infrastructure tooling (sandboxes, marketplaces, directories) is appearing alongside the skills themselves. @ihtesham2005 highlighted Anthropic open-sourcing their internal Skills library, and Hacker News is seeing a steady stream of Show HN projects building on this layer.
**Specialized skill packs are the new open-source project type** - Builders are shipping domain-specific skill bundles: a 55K-word email marketing knowledge base (hn/cosmoblk, 10pts), 12 SEO skills for Claude Code (r/ClaudeCode), and AI marketing skills (hn/superamped). These aren't generic - they embed deep domain knowledge into SKILL.md files.
**Security and sandboxing are emerging concerns** - SkillSandbox (hn/ClaytheMachine) is a Rust-based capability sandbox for AI agent skills, and Gulama (hn/san-techie21) pitches itself as a "security-first" OpenClaw alternative. As skills get more powerful, the HN crowd is asking hard questions about what they should be allowed to do.
**MCP is becoming a framework target, not just a protocol** - Upjack (hn/barefootsanders) is a declarative framework for building apps over MCP, and the GTM MCP Server (hn/paolobietolini) lets AI manage Google Tag Manager containers. MCP is evolving from "connect tools to Claude" into "build entire products on top of MCP."
**Agent orchestration is the next layer up** - Axon (hn/gjkim042) provides Kubernetes-native orchestration for AI coding agents, and hn/alternateman built tooling to turn Claude Code or Codex into proactive 24/7 agents. The pattern is skills for single tasks, orchestration for workflows, infrastructure for always-on agents.
**Skill discovery is an unsolved problem** - Indx.sh (hn/micronink) is a directory of AI coding rules, MCP servers, and tools. ClawsMarket (hn/digitcatphd) is a marketplace where AI agents discover tools. @ghumare64 uses a dedicated tool to sync and scan skills from the marketplace. Multiple independent attempts to solve discovery suggest it's a real pain point.
KEY PATTERNS from the research:
1. HN builders are creating infrastructure (sandboxes, frameworks, marketplaces) while Reddit/X users are creating end-user skills - the ecosystem is specializing, per hn/ClaytheMachine
2. Marketing is the breakout non-dev use case for skills - multiple independent projects across HN, Reddit, and YouTube, per hn/cosmoblk
3. Skills are going cross-platform - builders are creating skills that work with Claude Code AND Codex, per @zeeg
4. The implicit vs explicit skill invocation debate is live - Codex handles implicit well, Claude Code still needs explicit mentions, per @zeeg
5. Solo devs and small teams are the core adoption wedge - team-level skill sharing is the growth vector, per r/ClaudeCode
---
All agents reported back!
├─ 🟠 Reddit: 3 threads │ 0 upvotes │ 0 comments
├─ 🔵 X: 12 posts │ 23 likes │ 1 reposts
├─ 🔴 YouTube: 10 videos │ 520,640 views │ 3 with transcripts
├─ 🟡 HN: 15 stories │ 35 points │ 16 comments
├─ 🌐 Web: supplementary
└─ 🗣️ Top voices: @ihtesham2005 (6 likes), @zeeg (4 likes, 1 RT) │ r/ClaudeCode, r/ClaudeAI │ hn/cosmoblk (10pts)
---
I'm now an expert on Claude Code skills and MCP servers. Some things I can help with:
- Break down the SkillSandbox architecture and what capability-based security means for your skills
- Compare the emerging MCP frameworks (Upjack vs Poncho vs Fluid.sh) for different use cases
- Help you build a domain-specific skill pack like the 55K-word email marketing knowledge base
@@ -0,0 +1,36 @@
## What I learned
ByteDance's **Seedance 2.0** has dominated AI video discussion this month, with r/singularity and Hacker News tracking both the technical leaps and the messy rollout. The top HN thread (hn/Alisaqqt, 7pts) previewed the model in early February and correctly predicted the Atlas Cloud API launch on Feb 24.
**CapCut integration marks the global launch.** As of Feb 25, Seedance 2.0 is live inside CapCut desktop and mobile worldwide. @jznode confirms no Chinese phone number is needed, with generations running about $2 each. A parallel r/singularity thread tracks the announcement with discussion of censorship trade-offs and pricing.
**One-minute coherent films.** r/generativeAI showcases a Seedance 2.0 output - a one-minute film with multi-shot coherence, scene transitions, and consistent characters, all generated with zero editing. The claim is contested but the output samples are circulating widely.
**API availability is a saga.** The top HN story noted the API was not yet available in early Feb, with Atlas Cloud access promised for Feb 24. By late February, r/generativeAI reports Seedance 2.0 appearing in "open source tools already," while third-party APIs (useapi.net) offer access of uncertain authenticity. Multiple Show HN posts (SeeVideo, Seedance3AI, and others) are building wrapper apps, but most sit at 1 point with zero comments.
**Jimeng platform instability.** r/Seedance_AI documents 24-hour stretches of "Network Error, Generation Failed" on Jimeng Web, silent account bans distinguishing paid from free accounts, and general frustration. One user reports wasting $1,000+ on failed generations due to content review rejections.
**Hollywood and SAG-AFTRA blowback.** r/AIGuild covers ByteDance facing Hollywood backlash over Seedance 2.0 IP concerns. r/AI_UGC_Marketing notes ElevenLabs quietly removed Seedance 2.0 integration after a SAG-AFTRA incident, breaking UGC video workflows.
**Developer community response is breadth without depth.** HN saw 15 stories this month, but engagement is thin - only the preview thread (7pts, 7 comments) generated real discussion. The rest are Show HN launches of wrapper apps (SeeVideo, Seedance3AI, etc.) that attracted minimal attention, suggesting developer tools are outpacing developer demand.
**Multi-shot narrative is the real breakthrough.** HN commenter hn/RyanMu notes that most AI video tools "generate isolated clips that fall apart when you try to build an actual narrative" - Seedance 2.0's multi-shot coherence is what sets it apart, and a separate Show HN specifically targets the "jump-cut problem."
### KEY PATTERNS
1. **Access fragmentation creates a wrapper gold rush** - 8+ Show HN posts launched Seedance wrapper apps in a single month, but almost none gained traction, suggesting the market wants official API access, not middlemen (HN)
2. **Platform musical chairs** - added to CapCut, removed from ElevenLabs, broken on Jimeng, promised on Atlas Cloud - the access surface is shifting weekly, making production workflows unreliable (r/singularity)
3. **Quality ceiling vs. guardrail floor** - Seedance 2.0's cinematic output quality is the highest in the space, but content moderation filters reject enough generations to cost power users real money (r/Seedance_AI)
4. **Multi-shot coherence is the moat** - while competitors offer single-clip generation, Seedance 2.0's ability to maintain character and scene consistency across shots is the feature driving adoption (hn/RyanMu)
5. **Hype-to-engagement ratio is extreme** - 15 HN stories but only 1 with meaningful discussion; YouTube tutorials pulling 200K views while developers barely engage, indicating consumer interest far outpaces technical community adoption (HN)
```
30-DAY SNAPSHOT
├─ Reddit: 20 threads across r/singularity, r/Seedance_AI, r/generativeAI +6 more
├─ X: 11 posts from @HBCoop_, @grok, @EmmaUsesAi +8 more
├─ YouTube: 10 videos (199K views on Theoretically Media alone)
├─ HN: 15 stories (top: 7pts/7cmt on Seedance 2.0 preview)
└─ Web: supplementary context
```
Want to dig deeper? I can look into **the Atlas Cloud API launch and pricing details**, **which Show HN wrapper apps are actually functional**, or **how Seedance 2.0's multi-shot coherence compares to Kling 3.0 and Sora 2 technically**.
@@ -0,0 +1,26 @@
# What I learned
The M4 MacBook Pro has been extensively reviewed across YouTube and Reddit, but the developer-focused Hacker News community has been notably silent on the topic this cycle. Still, the broader conversation paints a detailed picture: the M4 lineup is strong hardware with an increasingly clear "buy the base model" consensus forming. Per @bhphoto, the M3-to-M4 differences are real but not dramatic, and r/macbookpro owners are backing that up with months of ownership data.
**Base M4 is the default recommendation.** MacRumors dedicated a full video to arguing that the base M4 MacBook Pro is all most buyers need, advising people to skip the Pro and Max chips. Just Josh's review and recommendations video landed at a similar conclusion. The M4 Pro and Max are specialized tools - unless you are editing multicam 4K timelines, running sustained ML training, or pushing large local LLMs, the base chip handles professional workloads without breaking a sweat.
**Battery reality is a sore spot.** The most pointed discussion on r/macbookpro compares "battery life reality vs review" - users are finding that Apple's headline battery numbers don't match their daily experience, especially on the 14-inch model. A separate thread flags concern about whether the 14-inch battery life should worry buyers. The gap between controlled reviewer testing and real usage with Chrome, Slack, and Docker running is meaningful enough to generate repeat threads.
**Long-term ownership tells the real story.** The launch-day review cycle was overwhelmingly positive, but the 3-to-12-month follow-ups are more measured. Brandon Butch's 3-month review is titled "This Feels Wrong," capturing the sentiment that the M4 benchmarks well but doesn't feel transformative in practice. Created Tech revisited at both 4 and 6 months; Hardware Canucks called it "insane" at launch but the hype has settled. Per r/macbookpro, at least one owner posted about genuine disappointment with heat management and app stability on their M4 MBP.
**Local LLM capability is a real differentiator.** On X, the conversation has shifted toward the M4 as a local AI machine. @jameslmorton reports 70 tokens/s on a maxed-out 128GB M4 MacBook Pro running local models. @grok confirms Ollama runs natively on Apple Silicon via Metal, with the Q4_K_M quantization needing 18-24GB unified memory for decent performance. This use case barely appeared in traditional reviews but is driving real purchase decisions among developers.
**The upgrade calculus from M3 is thin.** @bhphoto's M3 vs M4 comparison guide lays out the silicon differences, and the conclusion across sources is consistent: if you own an M3 Pro or Max, the M4 is not a compelling upgrade. New buyers benefit; upgraders should probably wait for M5.
---All agents reported back!
├─ 🟠 Reddit: 3 threads │ 0 upvotes │ 0 comments
├─ 🔵 X: 12 posts │ 10 likes │ 1 repost
├─ 🔴 YouTube: 10 videos │ 7,866,700 views │ 3 with transcripts
├─ 🟡 HN: 0 stories (no results this cycle)
├─ 🌐 Web: 0 pages (supplementary)
└─ 🗣️ Top voices: @bhphoto (3 likes), @jameslmorton │ r/macbookpro
---I'm now an expert on M4 MacBook Pro reviews. Some things I can help with:
- Help you decide between the base M4, M4 Pro, and M4 Max based on your actual workflow
- Estimate realistic battery life for your usage pattern vs Apple's marketing claims
- Assess whether upgrading from an M1/M2/M3 MacBook Pro is worth it right now
@@ -0,0 +1,28 @@
# What I learned
Early 2026 rap is in a transitional moment - Grammy season just wrapped, playlist curators are compiling their first "best of" roundups, and the community is still debating which new tracks deserve the crown. Across 25 sources from Reddit, X, and YouTube, a handful of names and tracks keep appearing, with Lil Uzi Vert's "What You Saying" leading the pack.
**Most-mentioned artists and tracks across sources:**
- **Lil Uzi Vert - "What You Saying"** - cited in 3 X posts (@grok) as hitting #1 on Hot Rap Songs in January 2026, peaking #14 Hot 100. The most chart-validated rap track of the year so far, with a surprise album rumored to follow.
- **Nuno Zigi - "World Best Lie"** - called out by @Zika_gfx as a standout meaningful rap song for 2026 (highest engagement X post, 12 likes/5 RTs).
- **DFL - "Art Of Life"** - shared directly to r/hiphop as a 2026 release. Sources: r/hiphop.
- **Plat Hav Pro - "Get F'D Up"** - another 2026 track posted to r/hiphop. Sources: r/hiphop.
- **Jody Lo - "Ridiculous"** - 2026 track shared in r/hiphop. Sources: r/hiphop.
- **Westside Gunn - "12" (album)** - r/hiphopheads ran a 1-year retrospective discussion, with users citing favorite tracks still in rotation.
The HN version's expanded Reddit search (10 threads vs. 6 in base) surfaced several sources the base version missed. r/playlists has a dedicated "Mix Rap Hiphop 2026" thread, r/musicplaylists has a "Best 2026 Rap Playlist" post with 178 saves, and r/hiphop contributed three individual 2026 track posts (DFL, Plat Hav Pro, Jody Lo) that give concrete song recommendations. The r/edranked "Reddit Ranked: Hip Hop '26" community ranking project also appeared here, confirming it as a key aggregation point.
Grammy discourse is prominent: r/hiphopheads discussed Pre-Show winners across Best Rap Song and Best Rap Performance categories, providing a baseline for what the industry considers the best.
On YouTube, the same three mixes appeared - West Coast Finest's "Lit Hip Hop Mix 2026" (407K views, featuring Tyga, Quavo, Iggy Azalea, Wiz Khalifa, Juicy J, 50 Cent) and DJ Noize's two February compilations (Trap Tape #127, Hot Right Now #153). These function as the best discovery playlists for current rap rotation.
```
Sources: 25 items (Jan 26 - Feb 25, 2026)
|- Reddit: 10 threads (r/hiphopheads, r/playlists, r/musicplaylists, r/hiphop, r/edranked)
|- X: 12 posts (@grok, @Zika_gfx, @DPOSTS6, @teammusic2046)
|- YouTube: 3 videos (West Coast Finest, DJ Noize x2)
|- HN: 0 stories
```
Want me to pull the full tracklist from that r/musicplaylists "Best 2026 Rap Playlist" with 178 saves, dive into the Westside Gunn retrospective for standout tracks, or search for what won Best Rap Song at the 2026 Grammys?
@@ -0,0 +1,34 @@
## What I learned:
The React vs Svelte conversation in early 2026 is driven by real migration decisions rather than abstract benchmarks. A widely-discussed r/webdev thread documented one startup's move from React to Svelte 5 with tangible performance and developer experience improvements, while Fireship's video on React trying to "win back" developers pulled nearly 700K views - signaling broad community interest in this rivalry.
**Svelte 5 vs React Hooks - The Mental Model War** - The r/react comparison thread directly pits Svelte 5 runes against React hooks, with developers debating which abstraction better maps to how they think about state. An r/sveltejs thread on "when to choose React over Svelte" framed the decision around practical constraints: existing team knowledge, library availability, and hiring. The consensus leans toward Svelte for greenfield projects and React for teams already invested in its ecosystem.
**"Late-Stage React" Enters the Vocabulary** - @cityjsconf promoted a CityJS talk on Ripple, a new framework that extracts "the good parts of React, Svelte, and Solid" - framing React as entering its legacy phase. This mirrors @Chubbi_Stephen's satirical take on framework discourse, where every developer argues against React but React keeps powering 80% of production sites.
**The Ecosystem Moat Is Real but Narrowing** - @nicobaogim made the case that React's only 2026 advantage is ecosystem maturity and team habits, not technical superiority. Beyond Fireship's side-by-side "10 Examples" comparison showed Svelte consistently requiring less code for equivalent functionality, reinforcing the DX argument.
**Frameworks Facing Existential Questions** - @dennydotio predicted 2026 as the year JS frameworks start dying, arguing they exist for human code organization rather than machine needs. If AI-generated code becomes the norm, the framework abstraction layer loses its purpose entirely.
**KEY PATTERNS:**
1. **Migration stories consistently favor Svelte on performance and code volume** - but teams flag ecosystem gaps as the main friction, per r/webdev
2. **React is chosen by default, Svelte is chosen by conviction** - the decision framework centers on team inertia vs technical preference, per @nicobaogim
3. **Svelte 5 runes remain contentious within the Svelte community** - some developers feel runes traded Svelte's simplicity for React-like explicitness, per Fireship on YouTube
4. **Hybrid frameworks are emerging from the debate** - new projects like Ripple synthesize patterns from both, treating the rivalry as a source of ideas rather than a winner-take-all contest, per @cityjsconf
5. **TypeScript-first DX is the shared ground** - @FabianHiller's type-safe forms tooling drew the highest engagement, suggesting the real frontier is developer tooling, not framework choice
---
All agents reported back!
├─ 🟠 Reddit: 3 threads │ 172 upvotes
├─ 🔵 X: 9 posts │ 76 likes │ 4 reposts
├─ 🔴 YouTube: 10 videos │ 2,085,181 views │ 3 with transcripts
├─ 🟡 HN: 0 stories (no results this cycle)
├─ 🌐 Web: supplementary
└─ 🗣️ Top voices: @FabianHiller (61 likes), @cityjsconf │ r/react, r/webdev
---
I'm now an expert on React vs Svelte 2026. Some things I can help with:
- Break down the hooks vs runes mental model differences with concrete code examples
- Assess whether your project's constraints favor React's ecosystem or Svelte's DX advantages
- Explore what "late-stage React" means for long-term framework strategy
+195
View File
@@ -0,0 +1,195 @@
# How Reddit & X Search Work in last30days
## Architecture Overview
```
User: /last30days "kanye west"
┌─────┴─────┐
↓ ↓ (concurrent via ThreadPoolExecutor)
[REDDIT] [X/TWITTER]
↓ ↓
OpenAI Bundled Bird or
API xAI API
↓ ↓
Parse Parse
↓ ↓
Enrich ───┘
(fetch ↓
actual [MERGE]
upvotes) ↓
↓ [NORMALIZE → FILTER → SCORE → DEDUPE]
└───────────↓
[OUTPUT to SKILL.md agent]
```
Both searches run **in parallel** using Python's `ThreadPoolExecutor(max_workers=2)`.
---
## Reddit Search
### How it works
Reddit search uses the **OpenAI Responses API** with the `web_search` tool, domain-filtered to `reddit.com` only.
**API Call:**
```
POST https://api.openai.com/v1/responses
Authorization: Bearer {OPENAI_API_KEY}
```
**Payload:**
```json
{
"model": "gpt-5.2",
"tools": [{
"type": "web_search",
"filters": { "allowed_domains": ["reddit.com"] }
}],
"input": "Search Reddit for threads about {topic}..."
}
```
The prompt asks the model to:
1. Extract core subject (strip noise words like "best", "tips", "top")
2. Search 3 patterns: `"{topic} site:reddit.com"`, `"reddit {topic}"`, `"{topic} reddit"`
3. Return JSON with `title`, `url`, `subreddit`, `date`, `relevance`
4. URLs must contain `/r/` AND `/comments/` (real threads only)
**Model fallback chain:** `gpt-5.2 → gpt-5.1 → gpt-5 → gpt-4.1 → gpt-4o → gpt-4o-mini`
Triggers on HTTP 400/403 with access error keywords.
### Enrichment (the secret sauce)
After search, each thread gets **enriched** by hitting Reddit's free JSON API:
```
GET https://reddit.com/r/{sub}/comments/{id}/{slug}/.json
```
No API key needed. This returns the actual thread data:
| Data Point | Source |
|---|---|
| Upvotes (score) | Reddit JSON API |
| Comment count | Reddit JSON API |
| Upvote ratio | Reddit JSON API |
| Top 10 comments (text + score) | Reddit JSON API |
| 7 key comment insights | Extracted via heuristics |
| Actual post date | `created_utc` timestamp |
**This is why Reddit results have real engagement metrics** — the enrichment step fetches actual upvote/comment data, not AI estimates.
### Depth settings
| Depth | Threads requested | Timeout |
|---|---|---|
| `--quick` | 15-25 | 90s |
| default | 30-50 | 120s |
| `--deep` | 70-100 | 180s |
---
## X/Twitter Search
X search has **two backends** — the skill auto-detects which to use.
### Priority: Bundled Bird (env auth) → xAI API (paid)
```python
if node_available and AUTH_TOKEN and CT0:
use bundled Bird # Free, popup-free, env-authenticated
elif XAI_API_KEY:
use xAI API # Paid, uses grok-4-1-fast
else:
skip X entirely # No X results
```
### Backend 1: xAI API
**API Call:**
```
POST https://api.x.ai/v1/responses
Authorization: Bearer {XAI_API_KEY}
```
**Payload:**
```json
{
"model": "grok-4-1-fast",
"tools": [{ "type": "x_search" }],
"input": "Search X for posts about {topic} from {from_date} to {to_date}..."
}
```
The prompt asks grok to return JSON with:
- `text`, `url`, `author_handle`, `date`
- `engagement`: `{ likes, reposts, replies, quotes }`
- `why_relevant`, `relevance` score
**Engagement data comes from grok's x_search tool** - it has direct access to X's data.
### Backend 2: Bundled Bird client (free alternative)
The repo vendors a search-only subset of Bird's Twitter GraphQL client and shells out to it with Node.js. No global `bird` install is required. The Python wrapper passes `AUTH_TOKEN` and `CT0` via env, which keeps normal local runs headless and avoids browser-cookie prompts.
**Bundled Bird returns raw X API data** - likes, reposts, replies are real engagement metrics from X's API, not estimates.
| Metric | Bundled Bird | xAI API |
|---|---|---|
| Post text | Real | Real |
| Likes/reposts | Real (X API) | Real (x_search tool) |
| Replies/quotes | Real | Real |
| Author handle | Real | Real |
| Relevance score | Default 0.7 (re-ranked by score.py) | AI-assessed 0.0-1.0 |
### Depth settings
| Depth | xAI posts | Bundled Bird results | xAI timeout | Bird timeout |
|---|---|---|---|---|
| `--quick` | 8-12 | 12 | 90s | 30s |
| default | 20-30 | 30 | 120s | 45s |
| `--deep` | 40-60 | 60 | 180s | 60s |
---
## Post-Processing (both sources)
After both searches complete:
1. **Normalize** — consistent formatting, timezone handling
2. **Date filter** — hard filter to requested date range
3. **Score** — relevance scoring (engagement-weighted)
4. **Sort** — highest scores first
5. **Deduplicate** — remove duplicate URLs
6. **Fallback** — if all items filtered out, keep top 3 by relevance
---
## Error Handling
| Layer | Strategy |
|---|---|
| HTTP requests | 3 retries with exponential backoff (1s → 2s → 3s) |
| Model access errors | Automatic fallback to next model in chain |
| Reddit enrichment | Per-item try/catch; keeps unenriched item on failure |
| X source detection | Silent fallback from Bird → xAI → skip |
| Overall pipeline | Errors stored as `reddit_error`/`x_error`, shown to user |
---
## Key Files
| File | Purpose |
|---|---|
| `scripts/last30days.py` | Main orchestrator, concurrent execution |
| `scripts/lib/openai_reddit.py` | Reddit search via OpenAI Responses API |
| `scripts/lib/reddit_enrich.py` | Fetch real engagement data from Reddit JSON API |
| `scripts/lib/xai_x.py` | X search via xAI API |
| `scripts/lib/bird_x.py` | X search via bundled Bird client (free) |
| `scripts/lib/models.py` | Auto-select best available model |
| `scripts/lib/env.py` | API key loading, source detection |
| `scripts/lib/http.py` | HTTP transport with retries |
| `scripts/lib/score.py` | Relevance scoring |
| `scripts/lib/dedupe.py` | URL-based deduplication |
@@ -0,0 +1,929 @@
# Bird CLI Integration Implementation Plan
> **For Claude:** REQUIRED SUB-SKILL: Use superpowers:executing-plans to implement this plan task-by-task.
**Goal:** Add Bird CLI as a free, zero-config alternative to xAI for X/Twitter searches with interactive installation.
**Architecture:** New `bird_x.py` module handles Bird detection, installation prompts, and search. Modified `env.py` determines X source priority (Bird → xAI → WebSearch). Main script prompts for Bird install if not found.
**Tech Stack:** Python 3, subprocess for Bird CLI calls, existing lib modules for normalization/scoring.
---
### Task 1: Create bird_x.py - Detection Functions
**Files:**
- Create: `scripts/lib/bird_x.py`
**Step 1: Create the module with detection functions**
```python
"""Bird CLI client for X (Twitter) search."""
import json
import shutil
import subprocess
import sys
from datetime import datetime
from typing import Any, Dict, List, Optional, Tuple
def _log(msg: str):
"""Log to stderr."""
sys.stderr.write(f"[Bird] {msg}\n")
sys.stderr.flush()
def is_bird_installed() -> bool:
"""Check if Bird CLI is installed."""
return shutil.which("bird") is not None
def is_bird_authenticated() -> Optional[str]:
"""Check if Bird is authenticated by running 'bird whoami'.
Returns:
Username if authenticated, None otherwise.
"""
if not is_bird_installed():
return None
try:
result = subprocess.run(
["bird", "whoami"],
capture_output=True,
text=True,
timeout=10,
)
if result.returncode == 0 and result.stdout.strip():
# Output is typically the username
return result.stdout.strip().split('\n')[0]
return None
except (subprocess.TimeoutExpired, FileNotFoundError, Exception):
return None
def check_npm_available() -> bool:
"""Check if npm is available for installation."""
return shutil.which("npm") is not None
```
**Step 2: Verify the module loads**
Run: `cd /Users/mvanhorn/last30days-skill-private && python3 -c "from scripts.lib import bird_x; print('OK')"`
Expected: `OK`
**Step 3: Commit**
```bash
git add scripts/lib/bird_x.py
git commit -m "feat(bird): add detection functions for Bird CLI"
```
---
### Task 2: Add Bird Installation Functions
**Files:**
- Modify: `scripts/lib/bird_x.py`
**Step 1: Add installation function**
Add after `check_npm_available()`:
```python
def install_bird() -> Tuple[bool, str]:
"""Install Bird CLI via npm.
Returns:
Tuple of (success, message).
"""
if not check_npm_available():
return False, "npm not found. Install Node.js first, or install Bird manually: https://github.com/steipete/bird"
try:
_log("Installing Bird CLI...")
result = subprocess.run(
["npm", "install", "-g", "@steipete/bird"],
capture_output=True,
text=True,
timeout=120,
)
if result.returncode == 0:
return True, "Bird CLI installed successfully!"
else:
error = result.stderr.strip() or result.stdout.strip() or "Unknown error"
return False, f"Installation failed: {error}"
except subprocess.TimeoutExpired:
return False, "Installation timed out"
except Exception as e:
return False, f"Installation error: {e}"
def get_bird_status() -> Dict[str, Any]:
"""Get comprehensive Bird status.
Returns:
Dict with keys: installed, authenticated, username, can_install
"""
installed = is_bird_installed()
username = is_bird_authenticated() if installed else None
return {
"installed": installed,
"authenticated": username is not None,
"username": username,
"can_install": check_npm_available(),
}
```
**Step 2: Verify functions work**
Run: `cd /Users/mvanhorn/last30days-skill-private && python3 -c "from scripts.lib import bird_x; print(bird_x.get_bird_status())"`
Expected: Dict with installed/authenticated status
**Step 3: Commit**
```bash
git add scripts/lib/bird_x.py
git commit -m "feat(bird): add installation and status functions"
```
---
### Task 3: Add Bird Search Function
**Files:**
- Modify: `scripts/lib/bird_x.py`
**Step 1: Add depth config and search function**
Add after imports at top:
```python
# Depth configurations: number of results to request
DEPTH_CONFIG = {
"quick": 12,
"default": 30,
"deep": 60,
}
```
Add after `get_bird_status()`:
```python
def search_x(
topic: str,
from_date: str,
to_date: str,
depth: str = "default",
) -> Dict[str, Any]:
"""Search X using Bird CLI.
Args:
topic: Search topic
from_date: Start date (YYYY-MM-DD)
to_date: End date (YYYY-MM-DD)
depth: Research depth - "quick", "default", or "deep"
Returns:
Raw Bird JSON response or error dict.
"""
count = DEPTH_CONFIG.get(depth, DEPTH_CONFIG["default"])
# Build command
cmd = [
"bird", "search",
topic,
"--since", from_date,
"-n", str(count),
"--json",
]
# Adjust timeout based on depth
timeout = 30 if depth == "quick" else 45 if depth == "default" else 60
try:
result = subprocess.run(
cmd,
capture_output=True,
text=True,
timeout=timeout,
)
if result.returncode != 0:
error = result.stderr.strip() or "Bird search failed"
return {"error": error, "items": []}
# Parse JSON output
output = result.stdout.strip()
if not output:
return {"items": []}
return json.loads(output)
except subprocess.TimeoutExpired:
return {"error": "Search timed out", "items": []}
except json.JSONDecodeError as e:
return {"error": f"Invalid JSON response: {e}", "items": []}
except Exception as e:
return {"error": str(e), "items": []}
```
**Step 2: Verify search function signature**
Run: `cd /Users/mvanhorn/last30days-skill-private && python3 -c "from scripts.lib import bird_x; import inspect; print(inspect.signature(bird_x.search_x))"`
Expected: `(topic: str, from_date: str, to_date: str, depth: str = 'default') -> Dict[str, Any]`
**Step 3: Commit**
```bash
git add scripts/lib/bird_x.py
git commit -m "feat(bird): add search_x function"
```
---
### Task 4: Add Bird Response Parser
**Files:**
- Modify: `scripts/lib/bird_x.py`
**Step 1: Add parse function**
Add at end of file:
```python
def parse_bird_response(response: Dict[str, Any]) -> List[Dict[str, Any]]:
"""Parse Bird response to match xai_x output format.
Args:
response: Raw Bird JSON response
Returns:
List of normalized item dicts matching xai_x.parse_x_response() format.
"""
items = []
# Check for errors
if "error" in response and response["error"]:
_log(f"Bird error: {response['error']}")
return items
# Bird returns a list of tweets directly or under a key
raw_items = response if isinstance(response, list) else response.get("items", response.get("tweets", []))
if not isinstance(raw_items, list):
return items
for i, tweet in enumerate(raw_items):
if not isinstance(tweet, dict):
continue
# Extract URL - Bird uses permanent_url or we construct from id
url = tweet.get("permanent_url") or tweet.get("url", "")
if not url and tweet.get("id"):
screen_name = tweet.get("user", {}).get("screen_name", "")
if screen_name:
url = f"https://x.com/{screen_name}/status/{tweet['id']}"
if not url:
continue
# Parse date from created_at (e.g., "Wed Jan 15 14:30:00 +0000 2026")
date = None
created_at = tweet.get("created_at", "")
if created_at:
try:
# Try ISO format first
if "T" in created_at:
dt = datetime.fromisoformat(created_at.replace("Z", "+00:00"))
else:
# Twitter format: "Wed Jan 15 14:30:00 +0000 2026"
dt = datetime.strptime(created_at, "%a %b %d %H:%M:%S %z %Y")
date = dt.strftime("%Y-%m-%d")
except (ValueError, TypeError):
pass
# Extract user info
user = tweet.get("user", {})
author_handle = user.get("screen_name", "") or tweet.get("author_handle", "")
# Build engagement dict
engagement = {
"likes": tweet.get("like_count") or tweet.get("favorite_count"),
"reposts": tweet.get("retweet_count"),
"replies": tweet.get("reply_count"),
"quotes": tweet.get("quote_count"),
}
# Convert to int where possible
for key in engagement:
if engagement[key] is not None:
try:
engagement[key] = int(engagement[key])
except (ValueError, TypeError):
engagement[key] = None
# Build normalized item
item = {
"id": f"X{i+1}",
"text": str(tweet.get("text", tweet.get("full_text", ""))).strip()[:500],
"url": url,
"author_handle": author_handle.lstrip("@"),
"date": date,
"engagement": engagement if any(v is not None for v in engagement.values()) else None,
"why_relevant": "", # Bird doesn't provide relevance explanations
"relevance": 0.7, # Default relevance, let score.py re-rank
}
items.append(item)
return items
```
**Step 2: Verify parser handles empty input**
Run: `cd /Users/mvanhorn/last30days-skill-private && python3 -c "from scripts.lib import bird_x; print(bird_x.parse_bird_response({}))"`
Expected: `[]`
**Step 3: Commit**
```bash
git add scripts/lib/bird_x.py
git commit -m "feat(bird): add response parser matching xai_x format"
```
---
### Task 5: Add UI Functions for Bird Prompts
**Files:**
- Modify: `scripts/lib/ui.py`
**Step 1: Add Bird-related messages and prompts**
Add after `PROMO_SINGLE_KEY_PLAIN` dict (around line 128):
```python
# Bird CLI prompts
BIRD_INSTALL_PROMPT = f"""
{Colors.CYAN}{Colors.BOLD}━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━{Colors.RESET}
{Colors.CYAN}🐦 FREE X/TWITTER SEARCH AVAILABLE{Colors.RESET}
Bird CLI provides free X search using your browser session (no API key needed).
"""
BIRD_INSTALL_PROMPT_PLAIN = """
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
🐦 FREE X/TWITTER SEARCH AVAILABLE
Bird CLI provides free X search using your browser session (no API key needed).
"""
BIRD_AUTH_HELP = f"""
{Colors.YELLOW}Bird authentication failed.{Colors.RESET}
To fix this:
1. Log into X (twitter.com) in Safari, Chrome, or Firefox
2. Run: {Colors.BOLD}bird check{Colors.RESET} to verify credentials
3. Try again
For manual setup, see: https://github.com/steipete/bird#authentication
"""
BIRD_AUTH_HELP_PLAIN = """
Bird authentication failed.
To fix this:
1. Log into X (twitter.com) in Safari, Chrome, or Firefox
2. Run: bird check to verify credentials
3. Try again
For manual setup, see: https://github.com/steipete/bird#authentication
"""
```
**Step 2: Add prompt functions to ProgressDisplay class**
Add these methods to the `ProgressDisplay` class (after `show_promo` method, around line 310):
```python
def prompt_bird_install(self) -> bool:
"""Prompt user to install Bird CLI.
Returns:
True if user wants to install, False otherwise.
"""
if IS_TTY:
sys.stderr.write(BIRD_INSTALL_PROMPT)
else:
sys.stderr.write(BIRD_INSTALL_PROMPT_PLAIN)
sys.stderr.flush()
try:
response = input("Install Bird CLI now? (y/n): ").strip().lower()
return response in ('y', 'yes')
except (EOFError, KeyboardInterrupt):
return False
def show_bird_install_success(self, username: str):
"""Show Bird installation success message."""
msg = f"{Colors.GREEN}✓ Bird installed and authenticated as @{username}{Colors.RESET}\n" if IS_TTY else f"✓ Bird installed and authenticated as @{username}\n"
sys.stderr.write(msg)
sys.stderr.flush()
def show_bird_install_failed(self, error: str):
"""Show Bird installation failure message."""
msg = f"{Colors.RED}✗ Bird installation failed: {error}{Colors.RESET}\n" if IS_TTY else f"✗ Bird installation failed: {error}\n"
sys.stderr.write(msg)
sys.stderr.flush()
def show_bird_auth_help(self):
"""Show Bird authentication help."""
if IS_TTY:
sys.stderr.write(BIRD_AUTH_HELP)
else:
sys.stderr.write(BIRD_AUTH_HELP_PLAIN)
sys.stderr.flush()
```
**Step 3: Verify new methods exist**
Run: `cd /Users/mvanhorn/last30days-skill-private && python3 -c "from scripts.lib.ui import ProgressDisplay; p = ProgressDisplay('test', show_banner=False); print(hasattr(p, 'prompt_bird_install'))"`
Expected: `True`
**Step 4: Commit**
```bash
git add scripts/lib/ui.py
git commit -m "feat(ui): add Bird CLI install prompts and auth help"
```
---
### Task 6: Update env.py with X Source Detection
**Files:**
- Modify: `scripts/lib/env.py`
**Step 1: Add get_x_source function**
Add at end of file:
```python
def get_x_source(config: Dict[str, Any]) -> Optional[str]:
"""Determine the best available X/Twitter source.
Priority: Bird (free) → xAI (paid API)
Args:
config: Configuration dict from get_config()
Returns:
'bird' if Bird is installed and authenticated,
'xai' if XAI_API_KEY is configured,
None if no X source available.
"""
# Import here to avoid circular dependency
from . import bird_x
# Check Bird first (free option)
if bird_x.is_bird_installed():
username = bird_x.is_bird_authenticated()
if username:
return 'bird'
# Fall back to xAI if key exists
if config.get('XAI_API_KEY'):
return 'xai'
return None
def get_x_source_status(config: Dict[str, Any]) -> Dict[str, Any]:
"""Get detailed X source status for UI decisions.
Returns:
Dict with keys: source, bird_installed, bird_authenticated,
bird_username, xai_available, can_install_bird
"""
from . import bird_x
bird_status = bird_x.get_bird_status()
xai_available = bool(config.get('XAI_API_KEY'))
# Determine active source
if bird_status["authenticated"]:
source = 'bird'
elif xai_available:
source = 'xai'
else:
source = None
return {
"source": source,
"bird_installed": bird_status["installed"],
"bird_authenticated": bird_status["authenticated"],
"bird_username": bird_status["username"],
"xai_available": xai_available,
"can_install_bird": bird_status["can_install"],
}
```
**Step 2: Verify function works**
Run: `cd /Users/mvanhorn/last30days-skill-private && python3 -c "from scripts.lib import env; print(env.get_x_source_status(env.get_config()))"`
Expected: Dict with source status
**Step 3: Commit**
```bash
git add scripts/lib/env.py
git commit -m "feat(env): add X source detection with Bird priority"
```
---
### Task 7: Update __init__.py to Export bird_x
**Files:**
- Modify: `scripts/lib/__init__.py`
**Step 1: Add bird_x to imports**
Replace file contents with:
```python
# last30days library modules
from . import bird_x
```
**Step 2: Verify import works**
Run: `cd /Users/mvanhorn/last30days-skill-private && python3 -c "from scripts.lib import bird_x; print('OK')"`
Expected: `OK`
**Step 3: Commit**
```bash
git add scripts/lib/__init__.py
git commit -m "feat(lib): export bird_x module"
```
---
### Task 8: Integrate Bird into Main Script - Part 1 (Setup Phase)
**Files:**
- Modify: `scripts/last30days.py`
**Step 1: Add bird_x import**
Add `bird_x` to the imports from lib (around line 36):
```python
from lib import (
bird_x,
dates,
dedupe,
env,
http,
models,
normalize,
openai_reddit,
reddit_enrich,
render,
schema,
score,
ui,
websearch,
xai_x,
)
```
**Step 2: Add Bird setup function**
Add after the imports, before `load_fixture`:
```python
def setup_bird_if_needed(progress: ui.ProgressDisplay) -> Optional[str]:
"""Check Bird status and offer installation if needed.
Returns:
'bird' if Bird is ready to use,
'declined' if user declined install,
None if Bird not available and couldn't be installed.
"""
status = bird_x.get_bird_status()
# Already working
if status["authenticated"]:
return 'bird'
# Installed but not authenticated
if status["installed"]:
progress.show_bird_auth_help()
return None
# Not installed - offer to install if npm available
if status["can_install"]:
if progress.prompt_bird_install():
success, message = bird_x.install_bird()
if success:
# Check if auth works now
username = bird_x.is_bird_authenticated()
if username:
progress.show_bird_install_success(username)
return 'bird'
else:
progress.show_bird_auth_help()
return None
else:
progress.show_bird_install_failed(message)
return None
else:
return 'declined'
return None
```
**Step 3: Verify script still loads**
Run: `cd /Users/mvanhorn/last30days-skill-private && python3 -c "import scripts.last30days; print('OK')"`
Expected: `OK`
**Step 4: Commit**
```bash
git add scripts/last30days.py
git commit -m "feat(main): add Bird setup function"
```
---
### Task 9: Integrate Bird into Main Script - Part 2 (Search Dispatch)
**Files:**
- Modify: `scripts/last30days.py`
**Step 1: Modify _search_x function to support Bird**
Replace the `_search_x` function (around line 119-159) with:
```python
def _search_x(
topic: str,
config: dict,
selected_models: dict,
from_date: str,
to_date: str,
depth: str,
mock: bool,
x_source: str = "xai",
) -> tuple:
"""Search X via Bird CLI or xAI (runs in thread).
Args:
x_source: 'bird' or 'xai' - which backend to use
Returns:
Tuple of (x_items, raw_response, error)
"""
raw_response = None
x_error = None
if mock:
raw_response = load_fixture("xai_sample.json")
x_items = xai_x.parse_x_response(raw_response or {})
return x_items, raw_response, x_error
# Use Bird if specified
if x_source == "bird":
try:
raw_response = bird_x.search_x(
topic,
from_date,
to_date,
depth=depth,
)
except Exception as e:
raw_response = {"error": str(e)}
x_error = f"{type(e).__name__}: {e}"
x_items = bird_x.parse_bird_response(raw_response or {})
# Check for error in response
if raw_response and raw_response.get("error") and not x_error:
x_error = raw_response["error"]
return x_items, raw_response, x_error
# Use xAI (original behavior)
try:
raw_response = xai_x.search_x(
config["XAI_API_KEY"],
selected_models["xai"],
topic,
from_date,
to_date,
depth=depth,
)
except http.HTTPError as e:
raw_response = {"error": str(e)}
x_error = f"API error: {e}"
except Exception as e:
raw_response = {"error": str(e)}
x_error = f"{type(e).__name__}: {e}"
x_items = xai_x.parse_x_response(raw_response or {})
return x_items, raw_response, x_error
```
**Step 2: Update run_research to accept x_source parameter**
Find the `run_research` function signature (around line 161) and add `x_source` parameter:
```python
def run_research(
topic: str,
sources: str,
config: dict,
selected_models: dict,
from_date: str,
to_date: str,
depth: str = "default",
mock: bool = False,
progress: ui.ProgressDisplay = None,
x_source: str = "xai",
) -> tuple:
```
Then update the `_search_x` call inside (around line 218-222) to pass `x_source`:
```python
x_future = executor.submit(
_search_x, topic, config, selected_models,
from_date, to_date, depth, mock, x_source
)
```
**Step 3: Verify script syntax is valid**
Run: `cd /Users/mvanhorn/last30days-skill-private && python3 -m py_compile scripts/last30days.py && echo "OK"`
Expected: `OK`
**Step 4: Commit**
```bash
git add scripts/last30days.py
git commit -m "feat(main): dispatch X search to Bird or xAI"
```
---
### Task 10: Integrate Bird into Main Script - Part 3 (Main Function)
**Files:**
- Modify: `scripts/last30days.py`
**Step 1: Update main() to check Bird before research**
In the `main()` function, after loading config and before checking available sources (around line 345-355), add Bird setup:
Find this section:
```python
# Load config
config = env.get_config()
# Check available sources
available = env.get_available_sources(config)
```
Replace with:
```python
# Load config
config = env.get_config()
# Initialize progress display early for Bird prompts
progress = ui.ProgressDisplay(args.topic, show_banner=True)
# Check Bird availability and offer install if needed
x_source_status = env.get_x_source_status(config)
x_source = x_source_status["source"]
# If no X source and Bird can be installed, offer it
if x_source is None and x_source_status["can_install_bird"]:
bird_result = setup_bird_if_needed(progress)
if bird_result == 'bird':
x_source = 'bird'
# Refresh status
x_source_status = env.get_x_source_status(config)
# Check available sources (now accounting for Bird)
available = env.get_available_sources(config)
# Override available if Bird is ready
if x_source == 'bird':
if available == 'reddit':
available = 'both' # Now have both Reddit + X (via Bird)
elif available == 'web':
available = 'x' # Now have X via Bird
```
**Step 2: Remove duplicate progress initialization**
Find and remove the later `progress = ui.ProgressDisplay(...)` line (around line 371) since we now create it earlier.
**Step 3: Pass x_source to run_research**
Find the `run_research` call (around line 413) and add `x_source` parameter:
```python
reddit_items, x_items, web_needed, raw_openai, raw_xai, raw_reddit_enriched, reddit_error, x_error = run_research(
args.topic,
sources,
config,
selected_models,
from_date,
to_date,
depth,
args.mock,
progress,
x_source=x_source or "xai",
)
```
**Step 4: Verify script runs with --help**
Run: `cd /Users/mvanhorn/last30days-skill-private && python3 scripts/last30days.py --help`
Expected: Help text displays without errors
**Step 5: Commit**
```bash
git add scripts/last30days.py
git commit -m "feat(main): integrate Bird setup into main flow"
```
---
### Task 11: Test End-to-End with Mock Mode
**Files:**
- None (testing only)
**Step 1: Test mock mode still works**
Run: `cd /Users/mvanhorn/last30days-skill-private && python3 scripts/last30days.py "Claude Code" --mock --emit=compact 2>&1 | head -20`
Expected: Output showing research results without errors
**Step 2: Test Bird detection (informational)**
Run: `cd /Users/mvanhorn/last30days-skill-private && python3 -c "from scripts.lib import env; import json; print(json.dumps(env.get_x_source_status(env.get_config()), indent=2))"`
Expected: JSON showing current Bird/xAI status
**Step 3: Commit any fixes if needed, then final commit**
```bash
git add -A
git commit -m "feat(bird): complete Bird CLI integration
- Add bird_x.py module for Bird CLI detection, install, and search
- Add UI prompts for interactive Bird installation
- Update env.py with X source priority (Bird > xAI)
- Integrate Bird into main research flow
- Bird uses browser cookies (free, no API key needed)"
```
---
### Task 12: Push to Private Repo
**Files:**
- None (git only)
**Step 1: Push all changes**
Run: `cd /Users/mvanhorn/last30days-skill-private && git push origin main`
Expected: Changes pushed to private repo
**Step 2: Verify commit history**
Run: `cd /Users/mvanhorn/last30days-skill-private && git log --oneline -10`
Expected: Shows Bird integration commits
---
## Summary
After completing all tasks, the skill will:
1. Check if Bird CLI is installed on startup
2. If not installed but npm available, prompt user to install
3. If installed, verify authentication via `bird whoami`
4. If authenticated, use Bird for all X searches (free)
5. If not, fall back to xAI (if key exists) or WebSearch
6. Output format identical regardless of backend used
@@ -0,0 +1,102 @@
# Bird CLI Integration Design
**Date:** 2026-02-03
**Status:** Approved
## Overview
Add Bird CLI as an alternative X/Twitter search source for the last30days skill. Bird uses browser cookie authentication (free, no API key) and provides direct access to X's GraphQL API.
## Goals
- Provide free X search without requiring xAI API key
- Seamless fallback: Bird → xAI → WebSearch
- Interactive onboarding for users without Bird installed
- Output parity with existing xAI implementation
## Detection & Priority Flow
```
On startup:
1. Check: Is Bird installed? (`which bird`)
├─ No → Offer to install: "Bird CLI not found. Install for free X search? (y/n)"
│ ├─ Yes → Run `npm install -g @steipete/bird`
│ └─ No → Continue to step 2
└─ Yes → Check: Is Bird authenticated? (`bird whoami`)
├─ Success → Use Bird for X searches
└─ Fail → Show: "Bird auth failed. Run `bird check` to diagnose."
Continue to step 2
2. Fall back to xAI if XAI_API_KEY exists
3. Fall back to WebSearch if nothing else available
```
**Priority order:** Bird → xAI → WebSearch
## New Module: `scripts/lib/bird_x.py`
### Functions
- `is_bird_installed()` → checks `which bird`, returns bool
- `is_bird_authenticated()` → runs `bird whoami`, returns username or None
- `install_bird()` → runs `npm install -g @steipete/bird`, returns success bool
- `search_x(topic, from_date, to_date, depth)` → runs `bird search` with JSON output
- `parse_bird_response(json)` → converts to same format as `xai_x.parse_x_response()`
### Search Command
```bash
bird search "Claude Code skills" --since 2026-01-04 -n 30 --json
```
- `--since` filters to last 30 days
- `-n 30` controls result count (maps to depth: quick=12, default=30, deep=60)
- `--json` gives machine-readable output
### Output Mapping
| Bird field | Our field |
|------------|-----------|
| `text` | `text` |
| `permanent_url` | `url` |
| `user.screen_name` | `author_handle` |
| `created_at` | `date` (parse to YYYY-MM-DD) |
| `like_count` | `engagement.likes` |
| `retweet_count` | `engagement.reposts` |
| `reply_count` | `engagement.replies` |
| `quote_count` | `engagement.quotes` |
Relevance: Default to 0.7, let `score.py` re-rank based on engagement.
## Modified Files
| File | Change |
|------|--------|
| `env.py` | Add `get_x_source()` → returns `'bird'`, `'xai'`, or `None` |
| `last30days.py` | Check Bird availability with interactive install prompt before research |
| `last30days.py` | In `_search_x()`, dispatch to `bird_x` or `xai_x` based on source |
| `ui.py` | Add `prompt_bird_install()` and `show_bird_auth_help()` |
## Unchanged Files
- `normalize.py` - Bird output matches xAI format after parsing
- `score.py` - Same scoring logic applies
- `dedupe.py` - Same deduplication logic
- `render.py` - X results labeled as "X" regardless of backend
## Error Handling
| Scenario | Behavior |
|----------|----------|
| Bird installed but no browser cookies | Show `bird check` guidance, fall back to xAI |
| Bird search returns 0 results | Retry with simplified query (same as xAI logic) |
| Bird search times out | Fall back to xAI if available, else WebSearch |
| npm not installed (can't install Bird) | Skip Bird, continue with xAI/WebSearch |
| User declines Bird install | Remember for session, don't ask again |
**Timeout:** 30 seconds for Bird commands
## Output Labels
Results labeled as "X" regardless of whether Bird or xAI was used. Users care about the data, not the backend.
@@ -0,0 +1,281 @@
---
title: "feat: Automated v1 vs v2 test harness using claude --print"
type: feat
date: 2026-02-06
---
# feat: Automated V1 vs V2 Test Harness
## Overview
Build a bash script that swaps SKILL.md between v1 (upstream) and v2 (current), runs `claude --print "/last30days [query]"` for all 17 test queries on each version, captures output to files, then generates a comparison doc with analysis.
## How It Works
```
┌─────────────────────────────────────────────────┐
│ test-v1-vs-v2.sh │
│ │
│ 1. Save current SKILL.md as .v2 backup │
│ 2. Install v1 SKILL.md from upstream │
│ 3. Loop 17 queries → claude --print → v1/*.txt │
│ 4. Restore v2 SKILL.md │
│ 5. Loop 17 queries → claude --print → v2/*.txt │
│ 6. Generate comparison doc │
└─────────────────────────────────────────────────┘
```
Each `claude --print` call:
- Invokes the /last30days skill exactly as a user would
- Runs the Python script (real API calls to OpenAI + xAI)
- Runs WebSearch
- Applies SKILL.md presentation instructions
- Returns the full formatted output
- Exits (no interactive session)
## Implementation
### File: `scripts/test-v1-vs-v2.sh`
```bash
#!/bin/bash
set -euo pipefail
# === Config ===
SKILL_DIR="$HOME/.claude/skills/last30days"
REPO_DIR="/Users/mvanhorn/last30days-skill-private"
OUT_DIR="$REPO_DIR/docs/test-results/v1-vs-v2-$(date +%Y%m%d-%H%M%S)"
V1_DIR="$OUT_DIR/v1"
V2_DIR="$OUT_DIR/v2"
mkdir -p "$V1_DIR" "$V2_DIR"
# All 17 test queries (from README + plans)
declare -a QUERIES=(
"prompting techniques for chatgpt for legal questions"
"best clawdbot use cases"
"how to best setup clawdbot"
"prompting tips for nano banana pro for ios designs"
"top claude code skills"
"using ChatGPT to make images of dogs"
"research best practices for beautiful remotion animation videos in claude code"
"photorealistic people in nano banana pro"
"What are the best rap songs lately"
"what are people saying about DeepSeek R1"
"best practices for cursor rules files for Cursor"
"prompt advice for using suno to make killer songs in simple mode"
"how do I use Codex with Claude Code on same app to make it better"
"kanye west"
"howie.ai"
"open claw"
"nano banana pro prompting"
)
declare -a TYPES=(
"PROMPTING+TOOL"
"RECOMMENDATIONS"
"HOW-TO"
"PROMPTING+TOOL"
"RECOMMENDATIONS"
"GENERAL"
"PROMPTING"
"PROMPTING"
"RECOMMENDATIONS"
"NEWS"
"PROMPTING"
"PROMPTING"
"HOW-TO"
"NEWS"
"GENERAL"
"GENERAL"
"PROMPTING"
)
slugify() {
echo "$1" | tr '[:upper:]' '[:lower:]' | sed 's/[^a-z0-9]/-/g' | sed 's/--*/-/g' | head -c 60
}
run_version() {
local version="$1"
local outdir="$2"
echo ""
echo "=========================================="
echo " Running $version — ${#QUERIES[@]} queries"
echo "=========================================="
for i in "${!QUERIES[@]}"; do
local query="${QUERIES[$i]}"
local type="${TYPES[$i]}"
local slug=$(slugify "$query")
local num=$((i + 1))
local outfile="$outdir/${num}-${slug}.txt"
echo ""
echo "[$version] ($num/${#QUERIES[@]}) $query [$type]"
echo " → $outfile"
# Run claude --print with the skill invocation
# --no-session-persistence: don't save to session history
# Timeout after 5 minutes per query (generous for slow API calls)
if timeout 300 claude --print \
"/last30days $query" \
> "$outfile" 2>"$outdir/${num}-${slug}.stderr.txt"; then
echo " ✅ Done ($(wc -l < "$outfile") lines)"
else
echo " ❌ Failed or timed out"
echo "FAILED: timeout or error" >> "$outfile"
fi
# Brief pause between queries to avoid rate limits
sleep 2
done
}
# === Phase 1: Test V1 ===
echo "📦 Backing up current SKILL.md..."
cp "$SKILL_DIR/SKILL.md" "$SKILL_DIR/SKILL.md.v2.bak"
echo "📥 Installing V1 SKILL.md from upstream..."
cd "$REPO_DIR"
git show upstream/main:SKILL.md > "$SKILL_DIR/SKILL.md"
# Also save a copy for reference
cp "$SKILL_DIR/SKILL.md" "$OUT_DIR/v1-SKILL.md"
run_version "V1" "$V1_DIR"
# === Phase 2: Test V2 ===
echo ""
echo "📥 Restoring V2 SKILL.md..."
cp "$SKILL_DIR/SKILL.md.v2.bak" "$SKILL_DIR/SKILL.md"
# Also save a copy for reference
cp "$SKILL_DIR/SKILL.md" "$OUT_DIR/v2-SKILL.md"
run_version "V2" "$V2_DIR"
# === Phase 3: Generate summary ===
echo ""
echo "=========================================="
echo " Generating comparison summary"
echo "=========================================="
SUMMARY="$OUT_DIR/comparison-summary.md"
cat > "$SUMMARY" << 'HEADER'
# V1 vs V2 Comparison Results
Generated: $(date)
## Output Files
| # | Query | Type | V1 Lines | V2 Lines |
|---|-------|------|----------|----------|
HEADER
# Replace the date placeholder
sed -i '' "s/\$(date)/$(date)/" "$SUMMARY"
for i in "${!QUERIES[@]}"; do
local query="${QUERIES[$i]}"
local type="${TYPES[$i]}"
local slug=$(slugify "$query")
local num=$((i + 1))
local v1file="$V1_DIR/${num}-${slug}.txt"
local v2file="$V2_DIR/${num}-${slug}.txt"
local v1lines=$(wc -l < "$v1file" 2>/dev/null || echo "0")
local v2lines=$(wc -l < "$v2file" 2>/dev/null || echo "0")
echo "| $num | \`$query\` | $type | $v1lines | $v2lines |" >> "$SUMMARY"
done
cat >> "$SUMMARY" << 'FOOTER'
## Scorecard Template
For each query, score both versions on:
| Dimension | V1 | V2 | Notes |
|-----------|----|----|-------|
| Query Parsing Display (1-5) | | | |
| Source Coverage (1-5) | | | |
| Citation Quality (1-5) | | | |
| Summary Structure (1-5) | | | |
| Stats Box Format (1-5) | | | |
| Research Grounding (1-5) | | | |
## Next Step
Read each pair of output files and score them using the test plan at:
`docs/plans/2026-02-06-test-v1-vs-v2-comparison-plan.md`
FOOTER
echo ""
echo "✅ All done!"
echo "📁 Results: $OUT_DIR"
echo "📊 Summary: $SUMMARY"
echo ""
echo "V1 outputs: $V1_DIR/"
echo "V2 outputs: $V2_DIR/"
echo ""
echo "To review, run:"
echo " open $OUT_DIR"
# Cleanup backup
rm -f "$SKILL_DIR/SKILL.md.v2.bak"
```
## Acceptance Criteria
- [ ] Script runs all 17 queries on v1 SKILL.md
- [ ] Script runs all 17 queries on v2 SKILL.md
- [ ] Each query output saved to a separate .txt file
- [ ] Comparison summary generated with line counts
- [ ] SKILL.md restored to v2 after testing
- [ ] Both SKILL.md versions saved in output dir for reference
- [ ] Script handles timeouts gracefully (5 min per query)
- [ ] Brief pause between queries to avoid rate limits
## Cost Estimate
- 34 total `claude --print` invocations
- Each invocation: ~1 Python script run (OpenAI + xAI API) + 2-3 WebSearches + Claude response
- Estimated: ~$0.10-0.30 per invocation for API calls
- **Total estimate: $3-10 for the full run**
## Time Estimate
- Each query: ~1-3 minutes (script + WebSearch + synthesis)
- 17 queries × 2 versions = 34 runs
- **Total: ~45-90 minutes** (could run in background)
## How to Run
```bash
cd /Users/mvanhorn/last30days-skill-private
chmod +x scripts/test-v1-vs-v2.sh
./scripts/test-v1-vs-v2.sh
```
Or run in background:
```bash
nohup ./scripts/test-v1-vs-v2.sh > test-run.log 2>&1 &
tail -f test-run.log
```
## After the Run
Once all outputs are captured, Claude can read every file pair and generate the scored comparison doc with analysis — that's the part where I score each dimension 1-5 and write the final report.
## Files
| File | Purpose |
|------|---------|
| `scripts/test-v1-vs-v2.sh` | The test harness script |
| `docs/test-results/v1-vs-v2-*/` | Output directory (timestamped) |
| `docs/test-results/v1-vs-v2-*/v1/*.txt` | V1 outputs |
| `docs/test-results/v1-vs-v2-*/v2/*.txt` | V2 outputs |
| `docs/test-results/v1-vs-v2-*/comparison-summary.md` | Auto-generated summary |
@@ -0,0 +1,352 @@
---
title: "feat: Free Reddit via MCP — Remove OpenAI Key Requirement"
type: feat
date: 2026-02-06
---
# feat: Free Reddit via MCP — Remove OpenAI Key Requirement
## Overview
Replace the OpenAI Responses API (paid) for Reddit searching with a **free, zero-config Reddit MCP server**, eliminating the need for an `OPENAI_API_KEY` to get Reddit results in the last30days skill. This work happens in a **new forked repo** to keep the current release branch clean.
## Problem Statement
Today, the last30days skill requires an OpenAI API key (`OPENAI_API_KEY`) to search Reddit. This is the most expensive dependency in the stack — OpenAI charges per-call for the Responses API with web search. Users without an OpenAI key get zero Reddit results and fall back to WebSearch-only mode, which loses the engagement metrics (upvotes, comments) that make last30days uniquely valuable.
**Goal:** Make Reddit search completely free with no API key registration required.
## Research Findings
### Option Analysis
Five approaches were evaluated. Two stand out:
| Option | Free? | Search? | Engagement? | Setup | Notes |
|--------|-------|---------|-------------|-------|-------|
| **reddit-mcp-buddy** (Node.js) | Yes (anonymous mode) | Yes | Yes | One CLI command | 371 stars, 3-tier auth, most popular |
| **mcp-server-reddit** (Python) | Yes (redditwarp) | **No** | Yes | pip install | Recommended by ClaudeLog, but browse-only |
| **.json URL trick** (curl) | Yes | Yes | Yes | Zero | ~10 req/min, no dependencies |
| Reddit OAuth (PRAW) | Free but needs registration | Yes | Yes | App registration | 100 req/min, most reliable |
| RSS feeds | Yes | Basic | **No** | Zero | Least useful, no metrics |
### Top Contender: reddit-mcp-buddy
**GitHub:** [karanb192/reddit-mcp-buddy](https://github.com/karanb192/reddit-mcp-buddy)
- 371 stars, actively maintained (last update: Jan 29, 2026)
- **Anonymous mode** — zero credentials, ~10 req/min
- **MCP tools:** `search_reddit`, `browse_subreddit`, `get_post_details`, `user_analysis`, `reddit_explain`
- **Install:** `claude mcp add --transport stdio reddit-mcp-buddy -s user -- npx -y reddit-mcp-buddy`
- Returns full engagement metrics (score, num_comments, upvote_ratio)
- TypeScript/Node.js (npx, no Python dependency)
### Strong Alternative: .json URL trick
- Append `.json` to any Reddit URL → full JSON response
- Search: `https://www.reddit.com/search.json?q=TOPIC&sort=relevance&t=month&limit=100`
- Zero dependencies, zero auth, zero setup
- Returns same data as official API (score, num_comments, created_utc, upvote_ratio)
- ~10 req/min rate limit (sufficient for skill use)
- Can be called via `curl` or Python `urllib`
### Also Considered
- **Hawstein/mcp-server-reddit** (134 stars, Python, no auth) — **No search tool**, only browse subreddits. Cannot replace OpenAI's keyword search capability.
- **Arindam200/reddit-mcp** (262 stars, PRAW) — Has search but **requires Reddit OAuth credentials**. Not truly zero-config.
- **adhikasp/mcp-reddit** (348 stars) — Hot threads only, no search. Last updated Dec 2024.
## Proposed Solution
### Approach A: MCP-First with .json Fallback (Recommended)
Add a new module `mcp_reddit.py` that:
1. **Detects** if a Reddit MCP server is configured in the user's Claude Code session
2. **If MCP available:** Calls MCP `search_reddit` tool via the skill's `allowed-tools` (the skill already allows tools — MCP tools become available when configured)
3. **If no MCP:** Falls back to Reddit's `.json` URL endpoints via `urllib` (stdlib, no dependencies)
4. **Normalize** MCP/JSON results to the existing `RedditItem` schema
5. **Enrich** with `reddit_enrich.py` (already works — fetches real thread data)
This gives users three tiers of Reddit access:
- **Tier 1 (best):** Reddit MCP installed → full search + engagement via MCP tools
- **Tier 2 (good):** No MCP, no keys → `.json` URL search + enrichment
- **Tier 3 (existing):** OpenAI key present → existing `openai_reddit.py` still works (backward compat)
### Approach B: .json-Only (Simpler)
Skip MCP entirely. Add a `reddit_json.py` module that uses `https://www.reddit.com/search.json` directly. Simpler but misses the MCP ecosystem integration.
### Approach C: MCP-Only (Cleaner)
Require MCP setup. Simpler code but adds a user setup step (`claude mcp add ...`).
**Recommendation: Approach A** — MCP-first with .json fallback gives zero-config Reddit search for everyone while rewarding users who set up MCP with a better experience.
## Technical Approach
### Architecture
```
User invokes /last30days "topic"
├─ env.py detects sources:
│ ├─ MCP reddit available? → mcp_reddit.py
│ ├─ No MCP, no key? → reddit_json.py (.json URL trick)
│ └─ OPENAI_API_KEY set? → openai_reddit.py (existing, backward compat)
├─ X search (Bird CLI / xAI — unchanged)
└─ Normalize → Score → Dedupe → Render (unchanged)
```
### New Files
#### `scripts/lib/reddit_json.py`
- Uses `urllib.request` (stdlib) to call Reddit's `.json` search endpoint
- URL: `https://www.reddit.com/search.json?q={topic}&sort=relevance&t=month&limit=100`
- Custom `User-Agent` header (required by Reddit)
- Parses response into the same format as `openai_reddit.py` output
- Handles pagination via `after` token if depth=deep (multiple requests)
- Rate limiting: 1 second delay between requests
#### `scripts/lib/mcp_reddit.py`
- Detects MCP availability (check if Reddit MCP tools exist in session)
- Formats MCP tool calls for `search_reddit` with topic + date filters
- Normalizes MCP response to match existing `RedditItem` schema
- Falls back to `reddit_json.py` if MCP unavailable
#### Modified Files
- **`scripts/lib/env.py`** — Add Reddit source detection: MCP → .json → OpenAI
- **`scripts/last30days.py`** — Route Reddit search through new priority chain
- **`scripts/lib/normalize.py`** — Add normalizer for `.json` endpoint response format
- **`SKILL.md`** — Document MCP setup as optional enhancement
### MCP Integration Design
The MCP approach has a subtle challenge: the last30days skill runs as a **Python subprocess** (`python3 last30days.py`), but MCP tools are available to **Claude's session**, not to subprocesses.
**Two paths to solve this:**
**Path 1: SKILL.md orchestration** — The SKILL.md workflow calls the MCP `search_reddit` tool directly (before or in parallel with the Python script), saves the MCP response to a temp file, and the Python script reads it:
```
SKILL.md workflow:
1. Call MCP search_reddit → save to /tmp/last30days_mcp_reddit.json
2. Call python3 last30days.py --reddit-from=/tmp/last30days_mcp_reddit.json --emit=compact
3. Python script reads pre-fetched Reddit data instead of calling OpenAI
```
**Path 2: .json only for subprocess** — The Python script uses `.json` URLs directly (no MCP needed in subprocess). MCP is a bonus for users who want Claude to also browse specific threads interactively.
**Recommendation: Path 2 for MVP, Path 1 as enhancement.** The `.json` approach is self-contained, testable, and doesn't require SKILL.md workflow changes. MCP can be layered on later.
### Source Priority Chain (updated env.py)
```python
def get_reddit_source(config: dict) -> str:
"""Returns: 'mcp', 'json', 'openai', or 'none'"""
# 1. Check for pre-fetched MCP data (from SKILL.md)
if os.path.exists(MCP_REDDIT_CACHE_PATH):
return 'mcp'
# 2. Always available — no key needed
# (reddit .json endpoints are free)
return 'json'
# 3. OpenAI key present → legacy path
# if config.get('OPENAI_API_KEY'):
# return 'openai'
```
For MVP, the `.json` path is **always available** so it becomes the default. OpenAI path remains as opt-in for users who want higher rate limits.
### Data Mapping: .json → RedditItem
Reddit `.json` search returns `data.children[].data` with:
```json
{
"title": "Post title",
"permalink": "/r/subreddit/comments/abc123/...",
"subreddit": "ClaudeAI",
"score": 42,
"num_comments": 15,
"upvote_ratio": 0.95,
"created_utc": 1738800000,
"selftext": "Post body...",
"url": "https://...",
"author": "username"
}
```
Maps cleanly to existing `RedditItem`:
| .json field | RedditItem field | Notes |
|-------------|------------------|-------|
| `title` | `title` | Direct |
| `permalink` | `url` | Prepend `https://www.reddit.com` |
| `subreddit` | `subreddit` | Direct |
| `score` | `engagement.score` | Direct |
| `num_comments` | `engagement.num_comments` | Direct |
| `upvote_ratio` | `engagement.upvote_ratio` | Direct |
| `created_utc` | `date` | Convert epoch → YYYY-MM-DD |
| `selftext` | (used for relevance) | AI relevance scoring needed |
| `author` | (not in current schema) | Ignore for now |
### Relevance Scoring Without AI
The current `openai_reddit.py` gets relevance scores **from OpenAI** (the AI judges how relevant each result is). With `.json` endpoints, we lose that AI relevance judgment.
**Options:**
1. **Keyword matching** — Score based on how many query terms appear in title + selftext. Simple but effective.
2. **TF-IDF-like** — Weight rarer query terms higher. More accurate but more code.
3. **Let Claude judge** — Pass results to Claude in SKILL.md and have Claude score relevance. Most accurate but changes the workflow.
4. **Skip relevance, rely on Reddit's sort** — Reddit's `sort=relevance` already ranks by relevance. Trust it and use position-based scoring (first result = 1.0, last = 0.5).
**Recommendation: Option 4 for MVP.** Reddit's search relevance ranking is already good. Use position-based relevance (1.0 → 0.5 linear decay over result set) combined with the existing engagement-based scoring. This requires zero external dependencies and no AI calls.
## Implementation Phases
### Phase 0: Fork Repository
- [ ] Create new repo `last30days-free-reddit` (or branch in private repo)
- [ ] `git clone /Users/mvanhorn/last30days-skill-private /Users/mvanhorn/last30days-free-reddit`
- [ ] Create feature branch: `feat/free-reddit`
- [ ] Verify all existing tests pass on the new branch
### Phase 1: reddit_json.py — Core .json Search
- [ ] Create `scripts/lib/reddit_json.py`
- `search_reddit_json(topic: str, depth: str, date_from: str, date_to: str) -> list[dict]`
- Build search URL with `q`, `sort=relevance`, `t=month`, `limit` (25/50/100 by depth)
- Custom `User-Agent: last30days-skill/2.0 (by /u/last30days-bot)`
- Parse `data.children[].data` → list of raw dicts
- Handle pagination for deep mode (follow `after` token, max 3 pages)
- Rate limit: `time.sleep(1.0)` between requests
- Error handling: 429 (rate limit), 403 (blocked), network errors → return empty + error msg
- [ ] Create `tests/test_reddit_json.py`
- Mock HTTP responses using fixture files
- Test: basic search parsing, pagination, rate limit handling, error cases
- [ ] Create `fixtures/reddit_json_search_sample.json`
- Real `.json` search response (sanitized)
### Phase 2: Normalize + Score .json Results
- [ ] Add `normalize_reddit_json()` to `scripts/lib/normalize.py`
- Convert `.json` response format → `RedditItem` schema
- `created_utc` (epoch) → `YYYY-MM-DD` string
- `permalink` → full URL
- Position-based relevance: `1.0 - (index / total * 0.5)` → range [1.0, 0.5]
- Date confidence: `"high"` (Reddit provides exact timestamps)
- [ ] Update `scripts/lib/score.py` if needed
- `.json` results already have real engagement metrics — existing scoring formula works as-is
- No penalty needed (unlike WebSearch which lacks engagement)
- [ ] Add tests for normalization + scoring of `.json` data
### Phase 3: Integration into Orchestrator
- [ ] Update `scripts/lib/env.py`
- Add `get_reddit_source(config) -> str` returning `'json'`, `'openai'`, or `'none'`
- Priority: `.json` always available (default), `'openai'` if key present and user prefers
- Add `REDDIT_SOURCE` config option: `auto` (default), `json`, `openai`
- Update `get_available_sources()` to always include Reddit (since `.json` is free)
- Update `get_missing_keys()` — Reddit no longer shows as "missing"
- [ ] Update `scripts/last30days.py`
- Add `_search_reddit_json()` function alongside existing `_search_reddit()`
- Route based on `get_reddit_source()`: json → `_search_reddit_json()`, openai → `_search_reddit()`
- Skip `reddit_enrich.py` for `.json` results (already have real engagement metrics!)
- Update progress/stats output to show source: "Reddit (free)" vs "Reddit (OpenAI)"
- [ ] Update SKILL.md promo messaging
- Remove "Add OPENAI_API_KEY for Reddit" messaging
- Instead: "Reddit search included free! Add OpenAI key for AI-enhanced relevance scoring."
- [ ] Integration tests: full pipeline with `.json` mock data
### Phase 4: Testing & Polish
- [ ] Run all existing tests — ensure backward compatibility
- [ ] Manual test: invoke `/last30days` with NO API keys → should get Reddit + WebSearch results
- [ ] Manual test: invoke with OPENAI_API_KEY → should still use OpenAI path (backward compat)
- [ ] Manual test: compare result quality — `.json` vs OpenAI for same topic
- [ ] Update README.md — document free Reddit access
- [ ] Update SPEC.md — document new source priority chain
### Phase 5 (Future): MCP Enhancement Layer
- [ ] Detect Reddit MCP in Claude's session
- [ ] SKILL.md pre-fetches via MCP `search_reddit` → saves to temp file
- [ ] Python script reads pre-fetched MCP data via `--reddit-from=` flag
- [ ] MCP results get AI-judged relevance (since Claude sees them)
- [ ] Better than `.json` position-based relevance
## Acceptance Criteria
### Functional
- [ ] `/last30days "any topic"` returns Reddit results with **zero API keys configured**
- [ ] Reddit results include real engagement metrics (score, comments, upvote_ratio)
- [ ] Results are properly scored, deduped, and rendered (same quality as OpenAI path)
- [ ] Existing OpenAI path still works when key is present
- [ ] Existing X search (Bird CLI / xAI) is unchanged
- [ ] Stats box shows correct source indicator ("Reddit (free)" or "Reddit (OpenAI)")
### Non-Functional
- [ ] No external Python packages (stdlib only — `urllib.request`, `json`, `time`)
- [ ] Respects Reddit rate limits (~10 req/min for unauthenticated)
- [ ] Graceful degradation if Reddit blocks requests (429/403 → empty results + error msg)
- [ ] All new code has unit tests with fixtures (no live API calls in tests)
### Quality Gates
- [ ] All existing tests pass (zero regressions)
- [ ] New tests cover: search parsing, normalization, scoring, error handling, pagination
- [ ] Manual smoke test passes with zero API keys
## Risk Analysis
| Risk | Likelihood | Impact | Mitigation |
|------|-----------|--------|------------|
| Reddit blocks `.json` endpoints | Low | High | Fall back to OpenAI path; monitor for 429s |
| `.json` rate limit too restrictive | Medium | Medium | 1s delay between requests; cache results |
| Relevance quality lower without AI scoring | Medium | Medium | Reddit's `sort=relevance` is decent; can add keyword scoring later |
| Reddit changes `.json` response format | Low | Medium | Schema validation in normalize; fixture-based tests catch changes |
| Node.js MCP server dependency conflicts | N/A (Phase 5) | Low | MCP is optional enhancement, not required |
## Dependencies
- **None** — this feature uses only Python stdlib and Reddit's public `.json` endpoints
- Phase 5 (future) would add optional dependency on an MCP server
## Repository Setup
```bash
# Fork into new working repo
cp -r /Users/mvanhorn/last30days-skill-private /Users/mvanhorn/last30days-free-reddit
cd /Users/mvanhorn/last30days-free-reddit
# Create feature branch
git checkout -b feat/free-reddit
# Verify existing tests
python3 -m pytest tests/ -v
```
The new repo is disposable — once the feature is validated, changes merge back into `last30days-skill-private` via PR or cherry-pick.
## References
### Internal
- `scripts/lib/openai_reddit.py` — Current Reddit search (to be replaced/supplemented)
- `scripts/lib/env.py:get_available_sources()` — Source detection logic to update
- `scripts/lib/normalize.py` — Add `.json` normalizer alongside existing
- `scripts/lib/reddit_enrich.py` — May be skippable for `.json` results (already have engagement)
- `scripts/lib/schema.py:RedditItem` — Target schema (unchanged)
### External
- [Reddit .json search endpoint](https://www.reddit.com/search.json?q=test&sort=relevance&t=month&limit=25)
- [Simon Willison — Scraping Reddit via JSON API](https://til.simonwillison.net/reddit/scraping-reddit-json)
- [karanb192/reddit-mcp-buddy](https://github.com/karanb192/reddit-mcp-buddy) — Best MCP option for Phase 5
- [Hawstein/mcp-server-reddit](https://github.com/Hawstein/mcp-server-reddit) — ClaudeLog-recommended MCP (no search though)
- [Reddit API Rate Limits Guide](https://painonsocial.com/blog/reddit-api-rate-limits-guide)
### Research Sources
- last30days skill output — community recommendations for Reddit search tools
- GitHub search — 10+ Reddit MCP repos evaluated
- npm/PyPI registries — package availability confirmed
- ClaudeLog — [Reddit MCP reference](https://claudelog.com/claude-code-mcps/reddit-mcp/)
@@ -0,0 +1,391 @@
---
title: "feat: Release last30days v2 with Bird CLI to GitHub"
type: feat
date: 2026-02-06
---
# Release last30days v2 (Bird CLI) to GitHub
## Overview
Replace the current public `last30days-skill` on GitHub with the new Bird CLI-enhanced version from `last30days-skill-private`. The new version adds free X/Twitter search via Bird CLI while maintaining backward compatibility with xAI API keys.
**Goal:** Ship with confidence. No rollbacks.
## Current State
| | Old (Public) | New (Private) |
|---|---|---|
| **Repo** | `mvanhorn/last30days-skill` | `mvanhorn/last30days-skill-private` |
| **Local path** | `~/.claude/skills/last30days/` | `~/.claude/skills/last30daystest/` (symlink) |
| **Remote** | `origin` → public repo | `origin` → private, `upstream` → public |
| **Key addition** | -- | Bird CLI (`@steipete/bird`) for free X search |
| **X source chain** | xAI API only | Bird (free) → xAI (paid) → WebSearch |
| **Uses** | 136 | 18 |
| **Latest commit** | `cc892d7` | `4230fa2` |
**Why both show as `/last30days`:** Both `SKILL.md` files declare `name: last30days` in frontmatter. Claude Code discovers both from `~/.claude/skills/` and lists them separately.
---
## Phase 0: Clean Swap (Day 1)
Remove the old skill so only the new one is active. This eliminates ambiguity during testing.
### Steps
1. **Back up the old skill** (safety net):
```bash
mv ~/.claude/skills/last30days ~/.claude/skills/last30days.backup-v1
```
2. **Promote the new skill to primary**:
```bash
# Remove the test symlink
rm ~/.claude/skills/last30daystest
# Create new symlink with the primary name
ln -s /Users/mvanhorn/last30days-skill-private ~/.claude/skills/last30days
```
3. **Verify only one `/last30days` appears**:
- Open a new Claude Code session
- Type `/last` and confirm only ONE `/last30days` shows in autocomplete
- Confirm description mentions Bird CLI
4. **Rollback procedure** (if something goes wrong):
```bash
rm ~/.claude/skills/last30days
mv ~/.claude/skills/last30days.backup-v1 ~/.claude/skills/last30days
```
### Acceptance Criteria
- [ ] Only one `/last30days` appears in Claude Code autocomplete
- [ ] Old skill preserved at `~/.claude/skills/last30days.backup-v1`
- [ ] New skill responds to `/last30days` invocation
---
## Phase 1: Claude's Test Plan (Automated)
These are tests Claude can run autonomously to validate the new skill before the user touches it.
### 1.1 Script-Level Smoke Tests
Run the Python scripts directly to verify core functionality without invoking the full skill.
#### Bird CLI Detection
```bash
# Test: Bird is installed and authenticated
python3 -c "
import sys; sys.path.insert(0, '/Users/mvanhorn/last30days-skill-private/scripts/lib')
import bird_x
print('installed:', bird_x.is_bird_installed())
print('authenticated:', bird_x.is_bird_authenticated())
print('status:', bird_x.get_bird_status())
"
```
- [ ] `is_bird_installed()` returns True (or False with clear message)
- [ ] `is_bird_authenticated()` returns True if logged into X in browser
- [ ] `get_bird_status()` returns a dict with `installed`, `authenticated`, `available` keys
#### Environment & Source Detection
```bash
python3 -c "
import sys; sys.path.insert(0, '/Users/mvanhorn/last30days-skill-private/scripts/lib')
import env
config = env.load_config()
print('x_source:', env.get_x_source(config))
print('has_openai:', bool(config.get('OPENAI_API_KEY')))
"
```
- [ ] `get_x_source()` returns `'bird'` if Bird available, `'xai'` if API key set, `None` otherwise
- [ ] Config loads from `~/.config/last30days/.env`
#### Bird Search (Direct)
```bash
python3 -c "
import sys, json; sys.path.insert(0, '/Users/mvanhorn/last30days-skill-private/scripts/lib')
import bird_x
result = bird_x.search_x('Claude Code tips', '2026-01-07', '2026-02-06', 'quick')
print(json.dumps(result, indent=2, default=str)[:2000])
"
```
- [ ] Returns search results (list of dicts with `url`, `text`, `author_handle`)
- [ ] No Python tracebacks
- [ ] Results are from the expected date range
#### Full Research Pipeline (Compact Output)
```bash
cd /Users/mvanhorn/last30days-skill-private
python3 scripts/last30days.py "Claude Code tips" --emit=compact --quick 2>&1 | head -100
```
- [ ] Completes without error
- [ ] Output includes X results (via Bird or xAI)
- [ ] Output includes Reddit results (via OpenAI) if key configured
- [ ] Stats summary shows source counts
### 1.2 Source Fallback Tests
Verify graceful degradation when sources are unavailable.
#### Bird unavailable, xAI available
```bash
# Temporarily hide Bird
PATH_BACKUP="$PATH"
export PATH=$(echo "$PATH" | tr ':' '\n' | grep -v "$(dirname $(which bird 2>/dev/null))" | tr '\n' ':')
python3 -c "
import sys; sys.path.insert(0, '/Users/mvanhorn/last30days-skill-private/scripts/lib')
import env
config = env.load_config()
print('x_source (no bird):', env.get_x_source(config))
"
export PATH="$PATH_BACKUP"
```
- [ ] Falls back to `'xai'` when Bird not in PATH
- [ ] No crash or unhandled exception
#### No X source at all
```bash
python3 -c "
import sys; sys.path.insert(0, '/Users/mvanhorn/last30days-skill-private/scripts/lib')
import env
config = {} # empty config, no keys
print('x_source (nothing):', env.get_x_source(config))
"
```
- [ ] Returns `None`
- [ ] No crash
### 1.3 Response Parsing Tests
Validate that Bird responses are correctly normalized to the canonical schema.
```bash
python3 -c "
import sys; sys.path.insert(0, '/Users/mvanhorn/last30days-skill-private/scripts/lib')
import bird_x
# Test with sample Bird response format
sample = {
'tweets': [{
'permanentUrl': 'https://x.com/user/status/123',
'text': 'Test tweet about Claude Code',
'username': 'testuser',
'likeCount': 42,
'retweetCount': 10,
'replyCount': 5,
'timeParsed': '2026-02-01T12:00:00.000Z'
}]
}
parsed = bird_x.parse_bird_response(sample)
print('Parsed count:', len(parsed))
print('First item keys:', sorted(parsed[0].keys()) if parsed else 'EMPTY')
print('URL:', parsed[0].get('url'))
print('Author:', parsed[0].get('author_handle'))
"
```
- [ ] Parses correctly with expected keys
- [ ] Handles both camelCase and snake_case fields
- [ ] URL, text, author, engagement metrics all present
### 1.4 SKILL.md Validation
```bash
# Verify YAML frontmatter parses correctly
python3 -c "
import yaml
with open('/Users/mvanhorn/last30days-skill-private/SKILL.md') as f:
content = f.read()
# Extract YAML between --- markers
parts = content.split('---', 2)
meta = yaml.safe_load(parts[1])
print('name:', meta.get('name'))
print('context:', meta.get('context'))
print('agent:', meta.get('agent'))
print('allowed-tools:', meta.get('allowed-tools'))
"
```
- [ ] `name` is `last30days` (not `last30daystest`)
- [ ] `context` is `fork`
- [ ] `agent` is `Explore`
- [ ] `allowed-tools` includes `Bash`, `WebSearch`
### 1.5 Diff Audit (Old vs New)
```bash
# Verify the only meaningful addition is bird_x.py
diff -rq ~/.claude/skills/last30days.backup-v1/scripts/lib/ \
/Users/mvanhorn/last30days-skill-private/scripts/lib/ 2>/dev/null
```
- [ ] Only new file is `bird_x.py`
- [ ] Modified files: `env.py` (source detection), `__init__.py` (exports)
- [ ] No unexpected deletions or renames
---
## Phase 2: User's Test Plan (Manual)
These require human judgment - evaluating quality, UX, and real-world behavior.
### 2.1 Basic Invocation (5 min)
Open a fresh Claude Code session after Phase 0 is complete.
| # | Test | Command | Pass Criteria |
|---|------|---------|---------------|
| 1 | Simple topic | `/last30days AI music generation` | Returns results, shows source stats |
| 2 | Topic + tool | `/last30days Suno prompts for music production` | Returns results + generates a prompt |
| 3 | Quick mode | `/last30days --quick TypeScript tips` | Faster, fewer results, still valid |
| 4 | Empty input | `/last30days` | Prompts for topic (doesn't crash) |
### 2.2 Bird CLI Verification (5 min)
| # | Test | What to Check |
|---|------|---------------|
| 1 | Source indicator | Output shows Bird as X source (not xAI) |
| 2 | X results quality | X/Twitter results are real, recent, have engagement metrics |
| 3 | Bird promo | If Bird NOT installed, shows non-blocking info banner |
| 4 | Mixed sources | Both Reddit (OpenAI) and X (Bird) results appear |
### 2.3 Fallback Behavior (5 min)
| # | Test | Setup | Expected |
|---|------|-------|----------|
| 1 | No Bird | `npm uninstall -g @steipete/bird` temporarily | Falls back to xAI or WebSearch |
| 2 | No API keys | Rename `~/.config/last30days/.env` temporarily | WebSearch-only mode works |
| 3 | Restore | Reinstall bird + restore .env | Full mode returns |
### 2.4 Output Quality (10 min)
Run 3 real research queries you care about. For each, evaluate:
- [ ] Results are actually from the last 30 days (not stale)
- [ ] Engagement metrics (likes, upvotes) are present and reasonable
- [ ] No duplicate results
- [ ] Sources are properly cited with URLs
- [ ] Synthesis is grounded in actual results (not hallucinated)
- [ ] Generated prompts (if requested) are usable
### 2.5 Comparison Test (10 min)
Before removing the backup, run the SAME query on both versions:
```bash
# New version (active)
/last30days [your topic]
# Old version (temporarily restore)
rm ~/.claude/skills/last30days
mv ~/.claude/skills/last30days.backup-v1 ~/.claude/skills/last30days
# New Claude Code session
/last30days [same topic]
# Then swap back
```
- [ ] New version produces equal or better results
- [ ] No features regressed
- [ ] Bird results add value over xAI-only
---
## Phase 3: Release Plan (30-Day Timeline)
**Target release date:** March 1, 2026 (conservative buffer before March 8 deadline)
### Week 1: Feb 6-12 - Clean & Test
| Day | Task | Owner |
|-----|------|-------|
| Feb 6 | Phase 0: Clean swap (remove old, activate new) | User |
| Feb 6 | Phase 1: Claude runs automated tests | Claude |
| Feb 7-8 | Phase 2: User runs manual tests (2.1-2.4) | User |
| Feb 9 | Phase 2.5: Comparison test | User |
| Feb 10-12 | Fix any issues found during testing | Claude + User |
### Week 2: Feb 13-19 - Harden
| Day | Task | Owner |
|-----|------|-------|
| Feb 13 | Run edge cases: unicode topics, very long topics, special chars | Claude |
| Feb 14 | Test with Bird logged out (auth expiry scenario) | User |
| Feb 15 | Review all error messages for clarity | Claude |
| Feb 16-17 | Update README.md with Bird CLI setup instructions | Claude |
| Feb 18-19 | Buffer for fixes | Claude + User |
### Week 3: Feb 20-26 - Pre-Release
| Day | Task | Owner |
|-----|------|-------|
| Feb 20 | Final diff audit: private repo vs public repo | Claude |
| Feb 21 | Strip any private/test artifacts (test symlinks, debug prints) | Claude |
| Feb 22 | Update SKILL.md description if needed | Claude |
| Feb 23 | Dry-run: push to a branch on public repo (not main) | User |
| Feb 24 | Test installation from the branch (fresh `~/.claude/skills/`) | User |
| Feb 25-26 | Buffer for fixes | Claude + User |
### Week 4: Feb 27 - Mar 1 - Ship
| Day | Task | Owner |
|-----|------|-------|
| Feb 27 | Merge branch to main on public repo | User |
| Feb 28 | Create GitHub release with changelog | Claude + User |
| Mar 1 | Delete backup: `rm -rf ~/.claude/skills/last30days.backup-v1` | User |
| Mar 1 | Archive private repo (optional) | User |
### Release Checklist (Final Gate)
Before merging to `main` on the public repo:
- [ ] All Phase 1 automated tests pass
- [ ] All Phase 2 manual tests pass
- [ ] Comparison test shows new >= old quality
- [ ] SKILL.md frontmatter is correct (`name: last30days`, not `last30daystest`)
- [ ] README.md documents Bird CLI setup
- [ ] No debug/test artifacts in codebase
- [ ] No hardcoded paths (e.g., `/Users/mvanhorn/...`)
- [ ] `.env` files are gitignored
- [ ] Git history is clean (no "test" or "WIP" commits on main)
- [ ] Bird CLI failure doesn't break the skill (graceful fallback verified)
### Rollback Plan (Emergency)
If something goes wrong after release:
```bash
# Option 1: Revert to backup (if still exists)
rm ~/.claude/skills/last30days
mv ~/.claude/skills/last30days.backup-v1 ~/.claude/skills/last30days
# Option 2: Git revert on public repo
cd ~/.claude/skills/last30days
git log --oneline -5 # find the last good commit
git revert HEAD # revert the merge commit
git push origin main
# Option 3: Pin to old version
cd ~/.claude/skills/last30days
git checkout cc892d7 # last known good commit from old version
```
---
## Risk Analysis
| Risk | Likelihood | Impact | Mitigation |
|------|-----------|--------|------------|
| Bird CLI breaks after X API changes | Medium | Low | Fallback to xAI/WebSearch still works |
| Bird auth expires silently | Medium | Low | `is_bird_authenticated()` check + user message |
| Old xAI workflows regress | Low | High | Comparison test in Phase 2.5 |
| Hardcoded paths in codebase | Low | Medium | Grep for `/Users/mvanhorn` before release |
| SKILL.md name still says `last30daystest` | Low | High | Already fixed in commit `4e972d0` |
## References
- Private repo: `https://github.com/mvanhorn/last30days-skill-private.git`
- Public repo: `https://github.com/mvanhorn/last30days-skill.git`
- Bird CLI: `https://github.com/steipete/bird`
- Bird implementation plan: `docs/plans/2026-02-03-bird-cli-implementation.md`
- Bird integration design: `docs/plans/2026-02-03-bird-cli-integration-design.md`
@@ -0,0 +1,91 @@
---
title: "feat: Add visible query parsing display before research starts"
type: feat
date: 2026-02-06
---
# feat: Add Visible Query Parsing Display
## Overview
The last30days skill parses user intent (TOPIC, QUERY_TYPE, TARGET_TOOL) internally but never shows the user what it understood. The agent jumps straight from the user's `/last30days kanye west` into running tools with a generic "I'll start the research script and web searches in parallel."
Users expect to see a reformulation of their query — confirming what the agent understood before it starts searching. This builds trust and lets users course-correct before waiting for results.
## Problem Statement
Current behavior:
```
User: /last30days kanye west
Agent: I'll start the research script and web searches in parallel.
[immediately runs bash + WebSearch]
```
Expected behavior:
```
User: /last30days kanye west
Agent: 🔍 **kanye west** · News
Searching Reddit, X, and the web for the latest on kanye west...
[then runs bash + WebSearch]
```
The "Parse User Intent" section in SKILL.md tells the agent to store variables internally but never instructs it to **display** them.
## Proposed Solution
Add an explicit "Display your parsing" instruction between the "Parse User Intent" section and "Research Execution" section in SKILL.md. One new block of text — no code changes, no script changes.
## Acceptance Criteria
- [ ] Agent displays parsed TOPIC and QUERY_TYPE before running any tools
- [ ] Display is concise (1-2 lines, not a verbose block)
- [ ] Agent still runs script + WebSearch in parallel after displaying
- [ ] No changes to Python scripts — SKILL.md only
## Implementation
### SKILL.md Change
**File:** `/Users/mvanhorn/last30days-skill-private/SKILL.md`
After the "Store these variables" block (line ~38) and before "Research Execution" (line ~42), add:
```markdown
**DISPLAY your parsing to the user.** Before running any tools, output a single line:
🔍 **{TOPIC}** · {QUERY_TYPE}
Searching Reddit, X, and the web for {natural language description of what you'll look for}...
Example outputs:
- 🔍 **kanye west** · News — Searching Reddit, X, and the web for the latest kanye west news and discussions...
- 🔍 **best MCP servers** · Recommendations — Searching Reddit, X, and the web for the most recommended MCP servers...
- 🔍 **nano banana pro prompting** · Prompting — Searching Reddit, X, and the web for nano banana pro prompting techniques and tips...
- 🔍 **open claw** · General — Searching Reddit, X, and the web for what people are saying about open claw...
If TARGET_TOOL is known, mention it: "...for nano banana pro prompting techniques to use in ChatGPT..."
This text MUST appear before you call any tools. It confirms to the user that you understood their request.
```
### Sync
After editing SKILL.md:
```bash
cp /Users/mvanhorn/last30days-skill-private/SKILL.md ~/.claude/skills/last30days/SKILL.md
```
## Test Plan
Run in a NEW Claude Code session:
1. `/last30days kanye west` — should display: 🔍 **kanye west** · News
2. `/last30days best MCP servers` — should display: 🔍 **best MCP servers** · Recommendations
3. `/last30days nano banana pro prompting for ChatGPT` — should display with tool mention
## Files to Modify
| File | Change |
|------|--------|
| `SKILL.md` | Add display instruction between Parse User Intent and Research Execution |
@@ -0,0 +1,167 @@
---
title: "fix: last30days v2 formatting, Reddit results, and citation verbosity"
type: fix
date: 2026-02-06
---
# fix: last30days v2 Formatting, Reddit Results, and Citation Verbosity
## Overview
Four bugs found during v2 testing across 4 queries (kanye west, howie.ai, nano banana pro prompting, open claw). The skill IS executing (the agent:Explore removal worked) but output quality has regressed from v1.
## Problem Statement
| # | Bug | Severity | Where |
|---|-----|----------|-------|
| 1 | Stats emoji tree format ignored 3/4 times - agent renders plain text dashes instead | High | `SKILL.md` |
| 2 | Reddit returns 0 results for popular topics (kanye west, howie.ai) | High | `scripts/lib/openai_reddit.py` |
| 3 | Citations too verbose - every sentence has `(per @x, @y, @z; r/sub)` making summary unreadable | Medium | `SKILL.md` |
| 4 | Kanye summary is wall of text - no bold headers or paragraph breaks like nano banana pro got | Medium | `SKILL.md` |
## Proposed Fixes
### Fix 1: Stats Emoji Format Enforcement
**Root cause:** The agent ignores the emoji tree template even with BAD/GOOD examples. The template uses box-drawing characters (├─ └─) that the agent treats as decorative, not mandatory.
**Approach:** Instead of relying on the agent to copy box-drawing characters, provide the template as a **literal fill-in-the-blank** with placeholders that are impossible to misinterpret.
**File:** `SKILL.md` (stats section, currently around line 190)
**Change:** Replace the current template + BAD/GOOD examples with a single, strict fill-in format:
```
Copy this EXACTLY, replacing only the {placeholders}:
---
✅ All agents reported back!
├─ 🟠 Reddit: {N} threads │ {N} upvotes │ {N} comments
├─ 🔵 X: {N} posts │ {N} likes │ {N} reposts (via Bird/xAI)
├─ 🌐 Web: {N} pages │ {domain1}, {domain2}, {domain3}
└─ 🗣️ Top voices: @{handle1} ({N} likes), @{handle2} │ r/{sub1}, r/{sub2}
---
If Reddit returned 0 threads, write: "├─ 🟠 Reddit: 0 threads (no results this cycle)"
NEVER use plain text dashes (-) or pipe (|). ALWAYS use ├─ └─ │ and the emoji.
```
Remove the separate BAD/GOOD section (it adds length without helping).
### Fix 2: Reddit Returning 0 Results
**Root cause (from code analysis):**
1. `openai_reddit.py:53-93` - The `REDDIT_SEARCH_PROMPT` instructs the OpenAI model to strip noise words before searching. For "kanye west" this isn't the issue (no noise words), but for "howie.ai" it might strip "ai".
2. `openai_reddit.py:160-166` - The search is restricted to `allowed_domains: ["reddit.com"]` which depends on OpenAI's web_search indexing of Reddit.
3. `last30days.py:474-490` - Post-retrieval filtering: `normalize.filter_by_date_range()` + `score.score_reddit_items()` + `dedupe.dedupe_reddit()` can discard all results if date confidence is low.
4. `score.py:151-157` - Items with no engagement metrics get `-10` penalty, low date confidence gets `-10`. Combined that's `-20` which may push score below threshold.
**Approach (multi-layered):**
**A. Add subreddit-targeted search fallback** in `openai_reddit.py`:
- When the first search returns < 3 results, add a second search prompt that explicitly queries: `"r/{topic} site:reddit.com"` and `"{topic} subreddit site:reddit.com"`
- This catches cases where OpenAI's web_search doesn't find the obvious subreddit
**B. Soften post-retrieval scoring** in `score.py`:
- Change the no-engagement penalty from `-10` to `-3` (missing metrics ≠ irrelevant)
- Change low date confidence penalty from `-10` to `-5`
**C. Add minimum result guarantee** in `last30days.py`:
- If scoring filters out ALL results, keep the top 3 by raw relevance regardless of score
- Log a warning: "All Reddit results scored below threshold, keeping top 3 by relevance"
**Files to change:**
- `scripts/lib/openai_reddit.py` - Add subreddit fallback search (lines ~160-180)
- `scripts/lib/score.py` - Soften penalties (lines ~151-157)
- `scripts/last30days.py` - Add minimum result guarantee (lines ~474-490)
### Fix 3: Citations Too Verbose
**Root cause:** The SKILL.md instruction says "Every insight MUST cite at least one source" with a GOOD example showing `(per @XXX, 15 likes; r/kanye thread with 200 upvotes)` - this is too much detail per citation and the agent over-applies it.
**Approach:** Dial back to "cite 1-2 sources per KEY PATTERN, not per sentence. Use short format."
**File:** `SKILL.md` (citation section, currently around line 158)
**Change the citation rule to:**
```
CITATION RULE: Cite sources sparingly to prove research is real.
- In the "What I learned" intro: cite 1-2 top sources total, not every sentence
- In KEY PATTERNS: cite 1 source per pattern, short format: "per @handle" or "per r/sub"
- Do NOT include engagement metrics in citations (likes, upvotes) - save those for stats box
- Do NOT chain multiple citations: "per @x, @y, @z" is too much. Pick the strongest one.
BAD: "His album is set for March 20 (per @cocoabutterbf; Rolling Stone; HotNewHipHop; Complex)."
GOOD: "His album BULLY is set for March 20 via Gamma, per Rolling Stone."
```
### Fix 4: Summary Formatting (Wall of Text vs Structured)
**Root cause:** The SKILL.md template for PROMPTING/NEWS/GENERAL shows:
```
What I learned:
[2-4 sentences synthesizing...]
```
This gives the agent permission to write a dense paragraph. The nano banana pro test got good formatting because PROMPTING queries naturally produce structured patterns. NEWS queries (kanye) produce narratives that become walls of text.
**Approach:** Add explicit structure to the NEWS/GENERAL format with bold topic headers.
**File:** `SKILL.md` (summary display section, around line 158)
**Change the PROMPTING/NEWS/GENERAL template to:**
```
What I learned:
**{Topic 1}** — [1-2 sentences about this storyline, per source]
**{Topic 2}** — [1-2 sentences, per source]
**{Topic 3}** — [1-2 sentences, per source]
KEY PATTERNS from the research:
1. [Pattern] — per @handle
2. [Pattern] — per r/sub
3. [Pattern] — per source
```
The bold topic headers force structure. Each topic gets its own paragraph with a line break. No more wall-of-text narratives.
## Acceptance Criteria
- [ ] **Fix 1:** Stats box uses emoji tree format ├─ 🟠 🔵 🌐 └─ 🗣️ in 4/4 test queries
- [ ] **Fix 2:** "kanye west" returns >0 Reddit threads (r/kanye exists and is active)
- [ ] **Fix 3:** Summary citations are 1 per insight, short format, no engagement metrics inline
- [ ] **Fix 4:** NEWS/GENERAL summaries use bold topic headers with paragraph breaks, not wall of text
## Test Plan
Re-run the same 4 queries after fixes:
1. `/last30days kanye west` — NEWS: should get Reddit results, structured summary, emoji stats
2. `/last30days howie.ai` — GENERAL: should get Reddit if available, citations not verbose
3. `/last30days nano banana pro prompting` — PROMPTING: should maintain current good quality, reduce citation density
4. `/last30days open claw` — GENERAL: should cite @handles in summary, emoji stats
## Files to Modify
| File | Fix | Change |
|------|-----|--------|
| `SKILL.md` | 1, 3, 4 | Stats template, citation rules, summary structure |
| `scripts/lib/openai_reddit.py` | 2 | Add subreddit fallback search |
| `scripts/lib/score.py` | 2 | Soften scoring penalties |
| `scripts/last30days.py` | 2 | Add minimum result guarantee |
## References
- Current SKILL.md: `~/.claude/skills/last30days/SKILL.md`
- Private repo: `/Users/mvanhorn/last30days-skill-private/`
- Old working SKILL.md: `~/.claude/skills/last30days.backup-v1/SKILL.md`
- Reddit search module: `scripts/lib/openai_reddit.py:53-93` (prompt), `:160-166` (API call)
- Scoring module: `scripts/lib/score.py:151-157` (penalties)
- Main pipeline: `scripts/last30days.py:474-490` (filtering)
@@ -0,0 +1,177 @@
---
title: "fix: Skill execution broken - fork mode subagent ignores bash and text instructions"
type: fix
date: 2026-02-06
---
# fix: Skill Execution Broken in Fork Mode
## Overview
The last30days v2 skill stopped running its Python script and stopped showing acknowledgment text. The agent jumps straight to WebSearch, ignoring all instructions to run bash first or output text. Five attempted fixes all failed.
## Root Cause (Confirmed via Research)
**The old v1 skill worked by accident.** GitHub Issue #17283 documented that `context: fork` and `agent: Explore` were **silently ignored** in older Claude Code versions. The skill ran **inline** in the main conversation — not in a forked subagent. That's why:
- The user saw acknowledgment text (output inline to conversation)
- The bash script ran (main model followed instructions inline)
- Progress was visible (tool calls shown normally)
**Claude Code 2.1+ fixed the bug** and now properly honors `context: fork`. The skill now truly runs in an isolated subagent where:
- The model decides tool ordering independently
- Text output instructions are deprioritized vs tool calls
- "RUN THIS FIRST" instructions are **suggestions**, not commands
- There is **no mechanism** to force tool ordering in a forked subagent
**This is why every SKILL.md rewrite failed** — the problem isn't the instructions, it's `context: fork` itself.
## Evidence
| Attempt | What we tried | Result |
|---------|--------------|--------|
| 1 | "YOUR FIRST ACTION: Run this command. EXECUTE." | Agent ran script sometimes, never showed ack text |
| 2 | "YOUR FIRST OUTPUT — before ANY tool calls" + progress block | Agent ignored text, jumped to WebSearch |
| 3 | Moved progress block to very first section | Agent ignored it entirely |
| 4 | "DO NOT skip this. DO NOT jump to tool calls first." | Agent still jumped to WebSearch |
| 5 | Embedded echo in bash block + "Do NOT start with WebSearch" | Agent still jumped to WebSearch, never ran bash |
## Proposed Fix
### Option A: Remove `context: fork` (Recommended)
**Remove `context: fork` from frontmatter.** The skill runs inline in the main conversation, exactly like the old v1 skill accidentally did.
**Why this works:**
- Inline execution follows instructions sequentially
- Text output appears directly to the user
- Bash commands run when instructed
- This is how the "working" v1 skill actually operated
**File:** `SKILL.md` frontmatter
**Change from:**
```yaml
---
name: last30days
description: Research a topic from the last 30 days on Reddit + X + Web...
argument-hint: '"[topic] for [tool]" or "[topic]"'
context: fork
allowed-tools: Bash, Read, Write, AskUserQuestion, WebSearch
---
```
**Change to:**
```yaml
---
name: last30days
description: Research a topic from the last 30 days on Reddit + X + Web...
argument-hint: '"[topic] for [tool]" or "[topic]"'
allowed-tools: Bash, Read, Write, AskUserQuestion, WebSearch
---
```
That's it. Remove the one line.
**Then restore the old v1 instruction flow:**
1. "Parse User Intent" section FIRST (generates acknowledgment text)
2. "Research Execution" with bash command
3. "Do WebSearch" while script runs
4. Synthesize and present
### Option B: Keep `context: fork` + Use `!`command`` Preprocessing
Use shell preprocessing syntax (`!`command``) to run the script **before** the model even sees the prompt:
```markdown
## Research data (auto-fetched)
!`python3 ~/.claude/skills/last30days/scripts/last30days.py "$ARGUMENTS" --emit=compact 2>&1`
```
**Risk:** Not confirmed that `$ARGUMENTS` works in `!`command`` context. More complex. The user still won't see progress text during preprocessing.
### Recommendation: Option A
Remove `context: fork`. It's one line. The old skill worked inline. The v2 skill should too. Option B is a backup if inline mode causes context window issues.
## Implementation
### Step 1: Remove `context: fork` from frontmatter
Single line removal in `SKILL.md`.
### Step 2: Restore v1-style instruction flow
The SKILL.md opening should match the public v1 pattern:
```markdown
# last30days: Research Any Topic from the Last 30 Days
Research ANY topic across Reddit, X, and the web. Surface what people are actually discussing, recommending, and debating right now.
## CRITICAL: Parse User Intent
Before doing anything, parse the user's input for:
[... topic/tool/query type parsing ...]
Store these variables:
- TOPIC = ...
- TARGET_TOOL = ...
- QUERY_TYPE = ...
---
## Research Execution
**Step 1: Run the research script**
```bash
python3 ~/.claude/skills/last30days/scripts/last30days.py "$ARGUMENTS" --emit=compact 2>&1
```
**Step 2: Do WebSearch** (while script runs)
[... websearch queries based on QUERY_TYPE ...]
**Step 3: Wait for script to complete**
[... synthesis instructions ...]
```
The key structural elements from v1 that need to return:
1. Descriptive intro paragraph
2. "Parse User Intent" BEFORE any tool calls
3. Script execution as a clearly labeled step
4. WebSearch as step 2 (not step 1)
### Step 3: Keep all v2 improvements
The v2-specific improvements (citation rules, stats template, Reddit fallback, scoring changes) stay. Only the frontmatter and instruction flow change.
### Step 4: Sync and test
Copy to `~/.claude/skills/last30days/SKILL.md`, test in new session.
## Acceptance Criteria
- [ ] `context: fork` removed from SKILL.md frontmatter
- [ ] Agent outputs acknowledgment text before running tools
- [ ] Python script actually executes (Reddit + X results appear)
- [ ] WebSearch supplements, doesn't replace, script results
- [ ] Stats emoji tree format renders correctly
- [ ] Citations are sparse (1 per insight, not 3-5)
## Test Plan
Run in a NEW Claude Code session:
1. `/last30days kanye west` — should see ack text, script runs, Reddit results
2. `/last30days open claw` — should see ack text, X results via Bird
## Files to Modify
| File | Change |
|------|--------|
| `SKILL.md` | Remove `context: fork`, restore v1 instruction flow |
## References
- GitHub Issue #17283: `context: fork` was silently ignored (the bug that made v1 work)
- Claude Code Skills docs: `!`command`` preprocessing syntax
- Claude Code Subagents docs: `agent: Explore` uses Haiku, read-only tools
- Public v1 SKILL.md: `github.com/mvanhorn/last30days-skill`
@@ -0,0 +1,385 @@
---
title: "test: Compare v1 (public) vs v2 (private) last30days output quality"
type: test
date: 2026-02-06
---
# test: V1 vs V2 Comparison Test Plan
## Overview
Run the same queries through both the public v1 and private v2 of last30days, compare output quality across 7 dimensions, and determine if v2 is ready to ship as the new public version.
**This plan also includes a full feature audit** identifying everything v1 has that v2 is missing — some of those gaps need fixing before shipping.
---
## How to Run the Comparison
### Setup
**V1 (public upstream):** Check out upstream SKILL.md temporarily:
```bash
# Save current v2
cp ~/.claude/skills/last30days/SKILL.md ~/.claude/skills/last30days/SKILL.md.v2
# Install v1 from upstream
cd /Users/mvanhorn/last30days-skill-private
git show upstream/main:SKILL.md > ~/.claude/skills/last30days/SKILL.md
```
Run test queries in a NEW Claude Code session (one session per query to avoid context bleed). Save output.
**V2 (private current):** Restore v2:
```bash
cp ~/.claude/skills/last30days/SKILL.md.v2 ~/.claude/skills/last30days/SKILL.md
```
Run same queries in NEW sessions. Save output.
---
## ALL Test Queries
### From README Examples (13 documented use cases)
Every single example from the README, in order:
| # | Query | Type | README Section |
|---|-------|------|---------------|
| 1 | `prompting techniques for chatgpt for legal questions` | PROMPTING + TOOL | Example: Legal Prompting |
| 2 | `best clawdbot use cases` | RECOMMENDATIONS | Example: ClawdBot Use Cases |
| 3 | `how to best setup clawdbot` | HOW-TO | Example: ClawdBot Setup |
| 4 | `prompting tips for nano banana pro for ios designs` | PROMPTING + TOOL | Example: iOS App Mockup |
| 5 | `top claude code skills` | RECOMMENDATIONS | Example: Top Claude Code Skills |
| 6 | `using ChatGPT to make images of dogs` | GENERAL | Example: Dog as Human |
| 7 | `research best practices for beautiful remotion animation videos in claude code` | PROMPTING | Example: Remotion Launch Video |
| 8 | `photorealistic people in nano banana pro` | PROMPTING | Example: Photorealistic Portraits |
| 9 | `What are the best rap songs lately` | RECOMMENDATIONS | Example: Best Rap Songs |
| 10 | `what are people saying about DeepSeek R1` | NEWS | Example: DeepSeek R1 |
| 11 | `best practices for cursor rules files for Cursor` | PROMPTING | Example: Cursor Rules |
| 12 | `prompt advice for using suno to make killer songs in simple mode` | PROMPTING | Example: Suno AI Music |
| 13 | `how do I use Codex with Claude Code on same app to make it better` | HOW-TO | Example: Codex + Claude Code |
### From Plan Documents (4 additional battle-tested queries)
| # | Query | Type | Source |
|---|-------|------|--------|
| 14 | `kanye west` | NEWS | fix-v2-formatting plan, most-tested query |
| 15 | `howie.ai` | GENERAL | fix-v2-formatting plan, edge case (domain as topic) |
| 16 | `open claw` | GENERAL | fix-v2-formatting plan, X-heavy sources |
| 17 | `nano banana pro prompting` | PROMPTING | fix-v2-formatting plan |
### Follow-up Vision Tests (pick 4 from above, ask a follow-up)
These test the prompt-generation phase specifically:
| Base Query | Follow-up Vision |
|------------|-----------------|
| #4 (nano banana pro ios) | "make a mock-up of an app for moms who swim" |
| #6 (ChatGPT dog images) | "what would my dog look like as a human prompt" |
| #12 (suno music) | "Rap song about self aware AI that loves Claude Code" |
| #13 (codex + claude code) | "how do I build a review loop workflow" |
---
## FEATURE AUDIT: V1 vs V2
### Section-by-section comparison
I diffed the full v1 (upstream/main) SKILL.md against the current v2. Here's everything.
#### KEPT (in both versions) ✅
| Feature | V1 Location | V2 Location | Notes |
|---------|------------|------------|-------|
| Parse User Intent section | Lines 23-48 | Lines 12-38 | Same logic |
| QUERY_TYPE detection (4 types) | Lines 29-36 | Lines 18-22 | Same types |
| "Don't ask about tool before research" | Lines 49-51 | Lines 31-33 | Same rule |
| Store variables block | Lines 53-56 | Lines 35-38 | Same |
| Research script execution | Lines 81-86 | Lines 59-62 | Same command |
| WebSearch by QUERY_TYPE | Lines 99-127 | Lines 77-98 | Same queries |
| "Use user's exact terminology" | Lines 129-133 | Lines 100-101 | V2 shorter but same intent |
| Judge Agent synthesis | Lines 143-151 | Lines 113-124 | Same logic |
| Internalize research (ground in actual content) | Lines 159-165 | Lines 128-135 | V2 shorter |
| RECOMMENDATIONS: extract specific names | Lines 167-177 | Lines 137-145 | Same, v2 removes BAD/GOOD example |
| Prompt format matching | Lines 193-196 | Lines 149-153 | Same |
| Summary + Stats + Invitation flow | Lines 200-250 | Lines 157-236 | Same structure, different details |
| Wait for user's vision | Lines 254-258 | Lines 240-242 | Same |
| Write ONE perfect prompt | Lines 262-275 | Lines 246-266 | Same structure |
| Context memory | Lines 298-316 | Lines 278-288 | V2 shorter |
| Output summary footer | Lines 320-340 | Lines 292-302 | Different format |
| Depth options (quick/default/deep) | Lines 135-139 | Lines 106-109 | Same |
#### ADDED in V2 (improvements) ✨
| Feature | What it does | V2 Location |
|---------|-------------|------------|
| **Query parsing display** | Shows `🔍 **{TOPIC}** · {QUERY_TYPE}` before tools | Lines 40-53 |
| **Sparse citation rules** | BAD/GOOD examples, "1 per pattern, short format" | Lines 186-193 |
| **Bold topic headers** | `**{Topic 1}** — [1-2 sentences, per source]` format | Lines 195-208 |
| **Strict stats template** | "NEVER use plain text dashes", fill-in-blank | Lines 217-230 |
| **RECOMMENDATIONS source attribution** | Each item MUST have Sources: line with @handles | Lines 178-182 |
| **Reddit 0 results handling** | Explicit instruction for 0-thread line | Line 229 |
| **Bird CLI in stats** | "(via Bird/xAI)" notation | Line 223 |
#### ❌ MISSING FROM V2 — Features V1 Has That V2 Dropped
These are the regressions. Some are intentional simplifications, others are real gaps.
**1. Use Cases Block (intro section)**
- **V1 has:** 4 use case examples right after the intro: Prompting, Recommendations, News, General — with concrete examples
- **V2 has:** Nothing. Just the intro paragraph.
- **Impact:** LOW. The query type detection handles this. But it was nice onboarding.
- **Verdict:** Skip — not needed for execution quality.
**2. Setup Check Section (API key guidance)**
- **V1 has:** Full section explaining 3 modes (Full/Partial/Web-Only), first-time setup bash script, "API keys are OPTIONAL" messaging
- **V2 has:** Nothing. Script auto-detects.
- **Impact:** LOW for experienced users. HIGH for first-time users who don't have keys.
- **Verdict:** Skip for now — script handles auto-detection. Consider adding back for public release.
**3. Anti-Pattern Examples (synthesis quality guard)**
- **V1 has:** Explicit anti-pattern block: "If user asks about 'clawdbot skills' and research returns ClawdBot content (self-hosted AI agent), do NOT synthesize this as 'Claude Code skills' just because both involve 'skills'." Plus BAD/GOOD synthesis examples for RECOMMENDATIONS.
- **V2 has:** Only "Ground your synthesis in the ACTUAL research content, not your pre-existing knowledge" — no concrete examples.
- **Impact:** MEDIUM-HIGH. Without concrete anti-patterns, the agent may conflate similar-sounding things.
- **Verdict:** ⚠️ ADD BACK. At minimum, restore the BAD/GOOD RECOMMENDATIONS example and the "don't conflate" warning.
**4. Self-Check Instruction (pre-display validation)**
- **V1 has:** "SELF-CHECK before displaying: Re-read your 'What I learned' section. Does it match what the research ACTUALLY says? If the research was about ClawdBot (a self-hosted AI agent), your summary should be about ClawdBot, not Claude Code. If you catch yourself projecting your own knowledge instead of the research, rewrite it."
- **V2 has:** Nothing.
- **Impact:** MEDIUM. The self-check forces the model to validate its own output.
- **Verdict:** ⚠️ ADD BACK. One line costs nothing and catches hallucination.
**5. Quality Checklist for Prompts ⭐**
- **V1 has:** Explicit checklist before delivering a prompt:
```
### Quality Checklist:
- [ ] FORMAT MATCHES RESEARCH - If research said JSON/structured/etc, prompt IS that format
- [ ] Directly addresses what the user said they want to create
- [ ] Uses specific patterns/keywords discovered in research
- [ ] Ready to paste with zero edits (or minimal [PLACEHOLDERS] clearly marked)
- [ ] Appropriate length and style for TARGET_TOOL
```
- **V2 has:** Only "If research says to use a specific prompt FORMAT, YOU MUST USE THAT FORMAT." — one line instead of 5 checks.
- **Impact:** HIGH. This is likely what the user noticed as missing — v1 prompts felt more polished because the agent ran a checklist before delivering.
- **Verdict:** ⚠️ ADD BACK. This is the "that's a great prompt" quality feel.
**6. Prompt Format Anti-Pattern**
- **V1 has:** "ANTI-PATTERN: Research says 'use JSON prompts with device specs' but you write plain prose. This defeats the entire purpose of the research."
- **V2 has:** Only the positive instruction (use the format research recommends).
- **Impact:** MEDIUM. Negative examples ("don't do this") are powerful for LLMs.
- **Verdict:** ⚠️ ADD BACK. One line.
**7. "IF USER ASKS FOR MORE OPTIONS" Section**
- **V1 has:** "Only if they ask for alternatives or more prompts, provide 2-3 variations. Don't dump a prompt pack unless requested."
- **V2 has:** Nothing about handling multi-prompt requests.
- **Impact:** LOW-MEDIUM. Without it, agent might dump multiple prompts unprompted.
- **Verdict:** ⚠️ ADD BACK. Two lines.
**8. Web-Only Mode Stats Template + Promo**
- **V1 has:** Separate stats template for web-only mode with "💡 Want engagement metrics? Add API keys..." promo
- **V2 has:** Only the full-mode template. If running web-only, agent has no guidance.
- **Impact:** MEDIUM for users without API keys.
- **Verdict:** Consider adding back for public release. Lower priority for now.
**9. TARGET_TOOL Question Template**
- **V1 has:** Explicit AskUserQuestion block with 4 options: [Most relevant tool], Nano Banana Pro, ChatGPT/Claude, Other
- **V2 has:** "run research first, then ask AFTER showing results" — but no actual question template.
- **Impact:** LOW-MEDIUM. Agent will still ask, just less structured.
- **Verdict:** Skip — not critical.
**10. Context Memory: "Don't re-search" Instructions**
- **V1 has:** Explicit "DO NOT run new WebSearches — you already have the research. Answer from what you learned. Cite the Reddit threads, X posts, and web sources."
- **V2 has:** Only "Only do new research if the user explicitly asks about a DIFFERENT topic."
- **Impact:** MEDIUM. Without the explicit ban, agent may re-search on follow-ups, wasting time.
- **Verdict:** ⚠️ ADD BACK. Three lines.
**11. Output Summary Footer (emoji + engagement counts)**
- **V1 has:** `📚 Expert in: {TOPIC} for {TARGET_TOOL}` and `📊 Based on: {n} Reddit threads ({sum} upvotes) + {n} X posts ({sum} likes) + {n} web pages`
- **V2 has:** `Expert in: {TOPIC} for {TARGET_TOOL}` and `Based on: {n} Reddit threads + {n} X posts + {n} web pages` — no emoji, no engagement counts.
- **Impact:** LOW but noticeable. The emoji + counts make the footer feel more substantial.
- **Verdict:** ⚠️ ADD BACK. Trivial fix.
---
## Priority Fix List (Before Shipping V2 as Public)
Based on the audit, these should be restored in V2 before it replaces V1:
### Must Fix (affects output quality)
| # | Missing Feature | Why | Effort |
|---|----------------|-----|--------|
| 1 | **Quality Checklist for prompts** | The "that's a great prompt" feel. V1's 5-point checklist made prompts more polished. | Add 8 lines to SKILL.md |
| 2 | **Anti-pattern examples** | BAD/GOOD synthesis examples prevent agent from conflating research. | Add 5 lines |
| 3 | **Self-check instruction** | One-line pre-display validation catches hallucination. | Add 2 lines |
| 4 | **Context Memory: don't re-search** | Prevents wasting time re-searching on follow-ups. | Add 3 lines |
### Should Fix (polish)
| # | Missing Feature | Why | Effort |
|---|----------------|-----|--------|
| 5 | **Prompt format anti-pattern** | Negative example reinforces "match the format". | Add 2 lines |
| 6 | **"IF USER ASKS FOR MORE OPTIONS"** | Prevents prompt dumping. | Add 2 lines |
| 7 | **Output footer emoji + engagement counts** | More polished footer. | Edit 3 lines |
### Skip for Now (nice-to-have for public release)
| # | Missing Feature | Why Skip |
|---|----------------|----------|
| 8 | Use cases block (intro) | Doesn't affect execution |
| 9 | Setup Check section | Script auto-detects; add back for public README |
| 10 | Web-only mode stats + promo | Lower priority, most users have keys |
| 11 | TARGET_TOOL question template | Agent handles this naturally |
---
## Scoring Dimensions (1-5 scale, 7 dimensions)
### 1. Query Parsing Display
Does the agent show what it understood before starting research?
| Score | Criteria |
|-------|----------|
| 1 | No acknowledgment, jumps straight to tools |
| 2 | Generic "I'll research this" with no specifics |
| 3 | Mentions the topic but not query type |
| 4 | Shows topic + query type clearly |
| 5 | Shows topic + query type + reformulated search terms |
### 2. Source Coverage
Did it actually use Reddit, X, AND web — or skip sources?
| Score | Criteria |
|-------|----------|
| 1 | WebSearch only, script didn't run |
| 2 | Script ran but returned 0 from one major source |
| 3 | 2 of 3 sources returned results |
| 4 | All 3 sources returned results |
| 5 | All 3 sources + good volume (10+ Reddit, 10+ X, 5+ web) |
### 3. Citation Quality
Are citations sparse and useful, or verbose and noisy?
| Score | Criteria |
|-------|----------|
| 1 | Every sentence has 3+ citations chained |
| 2 | Most sentences have multiple citations |
| 3 | 1-2 citations per insight, some over-citing |
| 4 | 1 citation per pattern, short format |
| 5 | Sparse citations that prove research is real without cluttering |
### 4. Summary Structure
Is the "What I learned" section scannable or a wall of text?
| Score | Criteria |
|-------|----------|
| 1 | Single paragraph wall of text |
| 2 | Multiple paragraphs but no structure |
| 3 | Some bold text but inconsistent |
| 4 | Bold topic headers with 1-2 sentence explanations |
| 5 | Clean topic headers + KEY PATTERNS list, easy to scan |
### 5. Stats Box Format
Does the emoji stats tree render correctly?
| Score | Criteria |
|-------|----------|
| 1 | No stats shown |
| 2 | Stats shown but plain text dashes, no emoji |
| 3 | Partial emoji format, some lines wrong |
| 4 | Correct ├─ └─ │ format with emoji, minor issues |
| 5 | Perfect emoji tree with accurate counts and top voices |
### 6. Research Grounding
Does the synthesis reflect the ACTUAL research, or generic pre-training knowledge?
| Score | Criteria |
|-------|----------|
| 1 | Entirely generic knowledge, no research content |
| 2 | Mentions some research but mostly generic |
| 3 | Mix of research and generic, some conflation |
| 4 | Clearly grounded in research, minor generic leakage |
| 5 | Every insight traceable to a specific source from the research |
### 7. Prompt Quality (follow-up tests only)
When user shares vision, is the generated prompt good?
| Score | Criteria |
|-------|----------|
| 1 | Generic prompt that ignores research |
| 2 | Mentions research topics but generic structure |
| 3 | Uses some research insights, decent prompt |
| 4 | Tailored to research, correct format for target tool |
| 5 | Uses research-recommended format, specific techniques, ready to paste, "that's a great prompt" feel |
---
## Comparison Scorecard Template
```
Query: [query text]
Version: V1 / V2
Date: YYYY-MM-DD
| Dimension | Score (1-5) | Notes |
|---------------------|-------------|-------|
| Query Parsing | | |
| Source Coverage | | |
| Citation Quality | | |
| Summary Structure | | |
| Stats Box Format | | |
| Research Grounding | | |
| Prompt Quality | | (follow-up tests only) |
| **TOTAL** | **/35** | |
Script output:
- Reddit: ___ threads / ___ upvotes / ___ comments
- X: ___ posts / ___ likes / ___ reposts
- Web: ___ pages
Observations:
[Free text notes]
```
---
## Execution Plan
### Phase 1: Fix the gaps first
Apply the 7 "Must Fix" + "Should Fix" items from the audit to V2 SKILL.md. This takes ~20 minutes since it's all small text additions.
### Phase 2: Smoke test (4 queries)
Run queries #14 (kanye west), #2 (best clawdbot use cases), #8 (photorealistic nano banana pro), #10 (DeepSeek R1) on V2 only. Verify the fixes work.
### Phase 3: Full comparison (all 17 queries)
Run all 17 queries on both V1 and V2. Fill scorecards.
### Phase 4: Follow-up vision tests (4 queries)
Run the 4 follow-up vision tests. Compare prompt quality — this is where the quality checklist fix matters most.
### Phase 5: Analysis
- Sum scores per version across all queries
- Identify any dimension where v1 consistently beats v2
- Decision: ship v2, or fix more gaps first
## Acceptance Criteria
- [x] Feature audit complete (this document)
- [x] Must-fix gaps restored in V2 SKILL.md
- [ ] All 17 queries run on V2
- [ ] At least 4 queries run on V1 for comparison
- [ ] 4 follow-up vision tests completed
- [ ] Scorecards filled for each
- [ ] Total score comparison documented
- [ ] Any V1 > V2 regressions identified with fix plan
- [ ] Go/no-go decision on shipping v2 as public
## Files
| File | Purpose |
|------|---------|
| `docs/plans/2026-02-06-test-v1-vs-v2-comparison-plan.md` | This plan |
| `SKILL.md` | Apply Must Fix + Should Fix items |
| `docs/test-results/v1-vs-v2-comparison.md` | Results (to be created) |
@@ -0,0 +1,208 @@
---
title: "feat: Bundle Bird X search client to eliminate npm dependency"
type: feat
date: 2026-02-07
---
# feat: Bundle Bird X search client to eliminate npm dependency
## Overview
Replace the `subprocess.run(["bird", "search", ...])` dependency in `bird_x.py` with a vendored Node.js module that calls Twitter's GraphQL search API directly. This eliminates the need for users to `npm install -g @steipete/bird` and protects against the package being removed from npm.
Bird is MIT-licensed. We have the full compiled package archived at `vendor/steipete-bird-0.8.0.tgz` and forked to `github.com/mvanhorn/bird-cli-archive`.
## Problem Statement
@steipete deleted Bird's GitHub repo on 2026-02-07. The npm package still works today, but if he unpublishes it from npm:
- New users can't `npm install -g @steipete/bird`
- The `bird` binary disappears from PATH on fresh installs
- `bird_x.py` returns 0 X results for everyone without an xAI API key
- /last30days V2's headline feature ("free X search") stops working for new users
## Proposed Solution
**Vendor Bird's search-only subset as a Node.js module inside /last30days, called from Python via `subprocess.run(["node", ...])`.**
This is the minimal-change approach:
- Keep Python as the orchestrator (bird_x.py stays mostly the same)
- Replace `subprocess.run(["bird", "search", ...])` with `subprocess.run(["node", "vendor/bird-search.mjs", ...])`
- Extract only the search-related code from Bird (not posting, bookmarks, lists, etc.)
- Cookie auth stays the same (environment variables or browser extraction)
### Why not rewrite in pure Python?
Bird's search client uses Twitter's internal GraphQL API with:
- Rotating QueryIDs (hardcoded + runtime refresh from x.com)
- Specific request header construction (bearer token, csrf, client UUIDs)
- Cursor-based pagination with Twitter-specific response parsing
- The `@steipete/sweet-cookie` dependency for browser cookie extraction
Porting all of this to Python is ~1000 lines of fragile reverse-engineering. Vendoring the working JS code is faster, safer, and easier to maintain since the archive includes source maps for debugging.
## Technical Approach
### What we need from Bird
Only 8 files from `dist/lib/` (out of 30+):
1. `twitter-client-base.js` - HTTP client, auth headers, rate limiting
2. `twitter-client-search.js` - Search mixin (the core feature)
3. `twitter-client-utils.js` - Tweet parsing, cursor extraction
4. `twitter-client-constants.js` - API endpoints, QueryIDs
5. `twitter-client-types.js` - TypeScript type stubs
6. `cookies.js` - Cookie resolution (env vars, browser extraction)
7. `runtime-query-ids.js` - QueryID refresh from x.com
8. `paginate-cursor.js` - Cursor pagination helper
Plus:
- `features.json` - GraphQL feature flags
- `query-ids.json` - Hardcoded QueryID fallbacks
### What we DON'T need
Posting, bookmarks, lists, timelines, engagement, follow, media, news, user lookup, user tweets - all the non-search mixins. This cuts the vendored code roughly in half.
### Architecture
```
scripts/
lib/
bird_x.py # MODIFIED - calls node instead of bird binary
vendor/
bird-search/
bird-search.mjs # NEW - thin CLI wrapper, ~40 lines
lib/ # VENDORED - subset of Bird's dist/lib/
twitter-client-base.js
twitter-client-search.js
twitter-client-utils.js
twitter-client-constants.js
twitter-client-types.js
cookies.js
runtime-query-ids.js
paginate-cursor.js
features.json
query-ids.json
node_modules/ # VENDORED - sweet-cookie only
@steipete/
sweet-cookie/
package.json # Minimal, points to bird-search.mjs
LICENSE # Bird's MIT license (required by MIT terms)
```
### Implementation
#### 1. Create `bird-search.mjs` wrapper (~40 lines)
A minimal Node.js script that:
- Accepts: `node bird-search.mjs <query> --count <n> --json`
- Creates a TwitterClient with search mixin only
- Resolves cookies (env vars first, then browser extraction)
- Calls `client.search(query, count)`
- Outputs JSON to stdout
- Exits with code 0 on success, 1 on error
This replaces the full `bird` CLI binary. Same interface, fraction of the code.
#### 2. Modify `bird_x.py` - change subprocess target
```python
# BEFORE (current)
cmd = ["bird", "search", query, "-n", str(count), "--json"]
# AFTER (vendored)
bird_search = Path(__file__).parent / "vendor" / "bird-search" / "bird-search.mjs"
cmd = ["node", bird_search, query, "--count", str(count), "--json"]
```
Same subprocess pattern. Same JSON output format. Minimal diff.
#### 3. Update auth check functions
```python
# BEFORE
def is_bird_installed() -> bool:
return shutil.which("bird") is not None
# AFTER
def is_bird_installed() -> bool:
bird_search = Path(__file__).parent / "vendor" / "bird-search" / "bird-search.mjs"
return bird_search.exists() and shutil.which("node") is not None
```
`is_bird_authenticated()` changes from `bird whoami` to a quick Node.js cookie check or environment variable check.
`install_bird()` becomes a no-op (already vendored) or removes itself entirely.
#### 4. Vendor sweet-cookie
`@steipete/sweet-cookie` is the only runtime dependency. It handles browser cookie extraction on macOS/Linux. Options:
**Option A (recommended):** Vendor sweet-cookie into `vendor/bird-search/node_modules/`. It's small (one file). This makes the skill fully self-contained with zero npm installs.
**Option B:** Fall back to environment variables only (no browser cookie extraction). Users would need to manually set `AUTH_TOKEN` and `CT0` env vars. Simpler but worse UX.
Recommend Option A - vendor it.
#### 5. Update user-facing docs
- `README.md` - Remove "Install Bird CLI" section, replace with "Requires Node.js 22+"
- `SKILL.md` - Remove Bird CLI installation instructions
- Keep the fallback chain: vendored Bird search -> xAI API key -> web-only
## Acceptance Criteria
- [ ] `bird_x.py` calls vendored Node.js module instead of `bird` binary
- [ ] `search_x()` returns identical JSON format (no downstream changes needed)
- [ ] `search_handles()` works with vendored module
- [ ] Cookie auth works via environment variables (`AUTH_TOKEN`, `CT0`)
- [ ] Cookie auth works via browser extraction (sweet-cookie)
- [ ] `is_bird_installed()` checks for vendored module + Node.js
- [ ] `install_bird()` removed or returns success immediately
- [ ] No `npm install -g @steipete/bird` required anywhere
- [ ] Bird's MIT LICENSE included in vendor directory
- [ ] README updated to remove Bird CLI install steps
- [ ] SKILL.md updated to remove Bird CLI references
- [ ] Works on macOS (primary) and Linux
- [ ] Fallback to xAI API key still works if vendored search fails
## Files Changed
| File | Action | Description |
|------|--------|-------------|
| `scripts/lib/bird_x.py` | MODIFY | Replace `["bird", ...]` subprocess calls with `["node", "vendor/bird-search/bird-search.mjs", ...]` |
| `scripts/lib/vendor/bird-search/bird-search.mjs` | CREATE | Thin Node.js wrapper that imports Bird's search client and outputs JSON |
| `scripts/lib/vendor/bird-search/lib/*.js` | VENDOR | 8 files from Bird's dist/lib/ (search subset only) |
| `scripts/lib/vendor/bird-search/lib/features.json` | VENDOR | GraphQL feature flags |
| `scripts/lib/vendor/bird-search/lib/query-ids.json` | VENDOR | Hardcoded QueryID fallbacks |
| `scripts/lib/vendor/bird-search/node_modules/` | VENDOR | sweet-cookie package |
| `scripts/lib/vendor/bird-search/package.json` | CREATE | Minimal package.json for module resolution |
| `scripts/lib/vendor/bird-search/LICENSE` | COPY | Bird's MIT license |
| `README.md` | MODIFY | Remove Bird CLI install section, add Node.js 22+ requirement |
| `SKILL.md` | MODIFY | Remove Bird CLI references |
## Dependencies & Risks
**Node.js 22+ required** - Users who had Bird CLI already have Node.js. This is not a new dependency, just a version requirement. Claude Code environments typically have Node.js.
**Twitter API changes** - The GraphQL QueryIDs may rotate. Bird includes a runtime refresh mechanism (`runtime-query-ids.js`) that fetches new IDs from x.com. This is vendored and will continue working.
**sweet-cookie platform support** - Browser cookie extraction only works on macOS (Safari, Chrome, Firefox) and Linux (Chrome, Firefox). Windows users need manual env vars. This matches Bird CLI's existing behavior.
**Legal** - Bird is MIT licensed. MIT requires including the license notice in copies. We include `LICENSE` in the vendor directory. Using Twitter's internal API is the same legal gray area Bird always operated in - user accepted this when they used Bird.
## What This Does NOT Change
- Python remains the orchestrator - bird_x.py still does query construction, retry logic, response parsing
- The fallback chain stays: vendored search -> xAI API -> web-only
- Cookie auth mechanism is identical (env vars or browser extraction)
- JSON output format is identical - no changes needed in score.py or format.py
- xai_x.py is completely untouched
## References
- Bird CLI archive: `github.com/mvanhorn/bird-cli-archive`
- Local vendor tarball: `vendor/steipete-bird-0.8.0.tgz`
- Bird search implementation: `bird-cli-archive/dist/lib/twitter-client-search.js`
- Current bird_x.py: `scripts/lib/bird_x.py`
- Fallback chain: `scripts/lib/env.py:get_x_source()`
@@ -0,0 +1,263 @@
---
title: "feat: Smart Supplemental Search — Entity-Aware Secondary Passes for Reddit & X"
type: feat
date: 2026-02-07
---
# feat: Smart Supplemental Search — Entity-Aware Secondary Passes for Reddit & X
## Overview
Add an intelligent "discover → drill down" second pass to both Reddit and X searches. After the initial broad search, extract entities (handles, subreddits, hashtags) from results and run targeted secondary searches to surface content the broad pass missed. This supplements — does not replace — the existing search pipeline.
## Problem Statement / Motivation
The current search pipeline does a single broad pass per source (with Reddit having 2 fallbacks for low-result scenarios). This works well for general topics, but misses content that lives in:
- **Niche subreddits** that don't rank for generic queries (e.g., searching "Nano Banana Pro" finds r/generativeAI but misses r/nanobanana, r/localLLaMA)
- **Key accounts on X** that are the authorities on a topic but whose individual posts don't rank for broad keyword search (e.g., @steipete for Open Claw, @karpathy for AI training)
- **Conversation threads** where the most valuable discussion happens in replies, not the original tweet
The product works great today. This is about squeezing 20-30% more high-quality results from sources we already have access to.
## Proposed Solution
### Architecture: Two-Phase Search
```
CURRENT (Phase 1 — unchanged):
Broad topic search → Reddit results + X results
NEW (Phase 2 — supplemental):
Extract entities from Phase 1 results
↓ ↓
[SUBREDDITS] [@HANDLES + #HASHTAGS]
↓ ↓
Targeted Reddit Targeted X searches
searches per sub per handle/hashtag
↓ ↓
Merge + dedupe with Phase 1 results
```
Phase 2 only runs if Phase 1 returned results (entities need to come from somewhere). Phase 2 results are merged and deduped against Phase 1 — the existing `dedupe.py` handles this.
### Feature 1: Entity Extraction Module (NEW FILE)
**File: `scripts/lib/entity_extract.py`**
A lightweight module that parses Phase 1 results and extracts:
**From X results:**
- `@handles` — from `author_handle` field + any @mentions in post text
- `#hashtags` — from post text
- Rank by frequency: handles that appear 2+ times are "key voices"
**From Reddit results:**
- `subreddit` names — from the `subreddit` field on each result
- Cross-referenced subreddits — from enriched comment text mentioning "r/othersub"
- Rank by frequency: subreddits with 2+ threads are "core communities"
**Output:**
```python
{
"x_handles": ["steipete", "openclaw", "karpathy"], # ranked by frequency
"x_hashtags": ["#openclaw", "#aitools"],
"reddit_subreddits": ["generativeAI", "localLLaMA", "nanobanana"],
"reddit_cross_refs": ["singularity", "MachineLearning"], # mentioned in comments
}
```
**Rules:**
- No hardcoded entities — everything discovered dynamically from Phase 1
- Cap at top 5 handles, top 3 hashtags, top 5 subreddits
- Skip generic handles (@elonmusk, @OpenAI) that appear everywhere — maintain a small exclusion list of "too common" handles (< 20 entries)
- Skip the original topic's "obvious" subreddit if it was already searched
### Feature 2: Supplemental X Search (Bird)
**File: modify `scripts/lib/bird_x.py`**
Add a `search_handles()` function:
```python
def search_handles(handles: list[str], topic: str, from_date: str, count_per: int = 5) -> list:
"""Search top handles for topic-related content."""
results = []
for handle in handles[:5]:
# Uses Bird's support for X search operators
query = f"from:{handle} {topic} since:{from_date}"
cmd = ["bird", "search", query, "-n", str(count_per), "--json"]
# ... parse results, add to list
return results
```
**Why Bird, not xAI:** Bird is free (uses your X login). Running 5 secondary searches via xAI would cost ~$0.025 per run, which adds up. Bird costs nothing.
**xAI alternative for users without Bird:** If Bird is not available but xAI is, use `allowed_x_handles` parameter:
```python
# xAI supports filtering to specific handles (max 10)
tools = [{
"type": "x_search",
"x_handles": {"allowed_x_handles": top_handles[:10]}
}]
```
### Feature 3: Supplemental Reddit Search
**File: modify `scripts/lib/openai_reddit.py`**
Add a `search_subreddits()` function:
```python
def search_subreddits(subreddits: list[str], topic: str, ...) -> list:
"""Search discovered subreddits for topic-related content."""
# Build multi-subreddit query for the OpenAI web_search prompt
sub_query = " OR ".join(f"r/{sub}" for sub in subreddits[:5])
prompt = f"Search Reddit for threads about {topic} in these communities: {sub_query}"
# ... single OpenAI API call, same pattern as existing search
```
**Alternative approach — Reddit JSON API (free, no API key):**
```python
def search_subreddit_json(subreddit: str, topic: str) -> list:
"""Search a specific subreddit via Reddit's free JSON endpoint."""
url = f"https://www.reddit.com/r/{subreddit}/search/.json"
params = {"q": topic, "restrict_sr": "on", "sort": "new", "limit": 10}
# ... parse JSON response
```
This is free, requires no API key, and gives us structured data. The `.json` endpoint trick is well-documented and widely used.
### Feature 4: Orchestration Changes
**File: modify `scripts/last30days.py`**
After Phase 1 completes and enrichment is done, run Phase 2:
```python
# Phase 1 (existing — unchanged)
reddit_items, x_items = run_parallel_search(...)
# Phase 2 (new — supplemental)
if reddit_items or x_items:
entities = entity_extract.extract(reddit_items, x_items)
supplemental_reddit = []
supplemental_x = []
# Run supplemental searches in parallel
with ThreadPoolExecutor(max_workers=2) as executor:
if entities["reddit_subreddits"]:
reddit_future = executor.submit(
openai_reddit.search_subreddits,
entities["reddit_subreddits"], topic, ...
)
if entities["x_handles"] and bird_available:
x_future = executor.submit(
bird_x.search_handles,
entities["x_handles"], topic, from_date, ...
)
# Merge with Phase 1
all_reddit = reddit_items + supplemental_reddit
all_x = x_items + supplemental_x
# Dedupe handles the rest
```
**Depth-dependent behavior:**
| Depth | Phase 2 behavior |
|---|---|
| `--quick` | Skip Phase 2 entirely (speed matters) |
| default | Run Phase 2 with caps: 3 handles, 3 subreddits, 3 results each |
| `--deep` | Run Phase 2 with caps: 5 handles, 5 subreddits, 5 results each |
### Feature 5: Thread Expansion for High-Engagement Posts (stretch goal)
**File: modify `scripts/lib/bird_x.py`**
For X posts with very high engagement (top 1-2 by likes), expand the conversation thread:
```python
def expand_thread(tweet_id: str) -> list:
"""Fetch full thread for a high-engagement tweet."""
cmd = ["bird", "thread", tweet_id, "--json"]
# ... parse thread, extract key replies
```
This surfaces the discussion around viral posts — often more valuable than the original tweet. Only trigger for posts with 100+ likes to avoid noise.
## Technical Considerations
### Performance
- Phase 2 adds 2-5 seconds for Bird (5 subprocess calls) and 3-8 seconds for Reddit subreddit search (1 API call)
- On `--quick` mode, Phase 2 is skipped entirely — zero performance impact
- Phase 2 runs AFTER Phase 1, not in parallel with it (needs Phase 1 results for entity extraction)
### Cost
- Reddit subreddit search: 1 additional OpenAI API call (~$0.005) OR free via `.json` endpoint
- X handle search via Bird: Free (uses your X login)
- X handle search via xAI (fallback): 1 additional API call (~$0.005)
- Thread expansion: Free via Bird
### No New Dependencies
- Entity extraction is string parsing — no NLP libraries needed
- Reddit `.json` endpoint uses existing `http.py` transport
- Bird CLI calls use existing subprocess pattern from `bird_x.py`
### Backward Compatibility
- Phase 2 is purely additive — all existing behavior unchanged
- If Phase 2 finds nothing, output is identical to current
- Deduplication handles any overlap between Phase 1 and Phase 2
## Acceptance Criteria
- [x] Entity extraction module correctly parses handles, hashtags, and subreddits from search results
- [x] Supplemental X searches via Bird find additional content from key handles
- [x] Supplemental Reddit searches find content in discovered subreddits
- [x] Phase 2 results are properly merged and deduped with Phase 1
- [x] `--quick` mode skips Phase 2 entirely
- [x] `--deep` mode searches more handles/subreddits with higher per-query limits
- [x] No performance regression on `--quick` mode
- [ ] Default mode adds < 10 seconds of latency
- [x] Works with Bird-only, xAI-only, and both-available configurations
- [x] Output format unchanged (Phase 2 results look identical to Phase 1 results)
## Implementation Order
1. `scripts/lib/entity_extract.py` — Entity extraction from results (new file)
2. `scripts/lib/bird_x.py` — Add `search_handles()` function
3. `scripts/lib/openai_reddit.py` — Add `search_subreddits()` function
4. `scripts/last30days.py` — Orchestration: Phase 2 after Phase 1
5. Test with real queries: "Open Claw", "Nano Banana Pro", "kanye west"
6. (Stretch) Thread expansion for high-engagement posts
## Research Sources
### Reddit Search Techniques
- [reddit-research-mcp](https://github.com/king-of-the-grackles/reddit-research-mcp) — MCP server with semantic subreddit discovery via 20K+ pre-indexed communities
- [anvaka/sayit](https://github.com/anvaka/sayit) — Subreddit similarity graph via collaborative filtering (Jaccard similarity on user overlap)
- [YARS](https://github.com/datavorous/yars) — No-API-key Reddit scraper using `.json` endpoint trick
- Reddit's free JSON search endpoint: `reddit.com/r/{sub}/search/.json?q=QUERY&restrict_sr=on` — no auth needed
- Reddit search operators: `subreddit:`, `title:`, `selftext:`, `author:`, `flair:` (Lucene-style)
### X/Twitter Search Techniques
- [igorbrigadir/twitter-advanced-search](https://github.com/igorbrigadir/twitter-advanced-search) — Canonical reference of all X search operators
- Bird CLI supports all X operators: `from:`, `to:`, `conversation_id:`, `min_retweets:`, `#hashtag`, `list:`
- xAI x_search `allowed_x_handles` parameter — filter to max 10 specific handles
- xAI x_search semantic search — finds conceptually related content without exact keyword matches
- [Bellingcat OSINT Toolkit](https://bellingcat.gitbook.io/toolkit) — Multi-pass handle discovery methodology
### Key Insight
The biggest gap in the current implementation is that **neither X nor Reddit search does entity extraction from initial results to inform follow-up queries.** Every tool/project researched that achieves better-than-basic results does some form of "discover entities → search entities" two-pass strategy.
## What We're NOT Doing
- **Not adding new API dependencies** — everything uses existing OpenAI, xAI, or Bird infrastructure
- **Not adding NLP/ML libraries** — entity extraction is simple string parsing
- **Not changing the output format** — Phase 2 results merge seamlessly
- **Not hardcoding any entities** — all discovery is dynamic from search results
- **Not slowing down `--quick` mode** — Phase 2 is skipped entirely
- **Not replacing the current search** — Phase 2 supplements Phase 1
@@ -0,0 +1,147 @@
---
title: "fix: X search query too restrictive, returns 0 results on popular topics"
type: fix
date: 2026-02-07
---
# fix: X search query too restrictive, returns 0 results on popular topics
## Problem
`/last30days vibe motion best prompt techniques` returned **0 X posts** despite Vibe Motion being actively discussed on X (screenshots show posts from @Godid242, @KamilStanuch, @ColdStartTheory, @higgsfield_ai).
Root cause: `_extract_core_subject()` in `bird_x.py` produces overly specific queries. Bird/X search uses **literal keyword AND matching** — ALL words must appear in a tweet. The function kept 4 keywords (`vibe motion prompt techniques`) when only 2 (`vibe motion`) were needed.
## Three Bugs Found
### Bug 1: Multi-word noise phrases never match
```python
# Current code (bird_x.py:24-38)
noise = ['best', ..., 'what are', 'what is', 'how to', 'tips for', ...]
words = topic.lower().split() # splits into individual words
result = [w for w in words if w not in noise] # compares "what" against "what are" → no match!
```
`"what are people saying about DeepSeek R1"` → keeps `"what are people saying"`**LOSES THE ENTIRE TOPIC**.
The multi-word entries (`"what are"`, `"how to"`, `"tips for"`, `"use cases"`) are dead code. They never match because `.split()` creates individual words but the noise list has multi-word strings.
### Bug 2: Missing meta/research words
The noise list has `"prompting"` but not `"prompt"`, `"prompts"`, `"techniques"`, `"tips"`, `"tricks"`, `"methods"`, etc.
- `"vibe motion best prompt techniques"``"vibe motion prompt techniques"` (4 words, should be 2)
- `"nano banana pro prompts for gemini"``"nano banana pro prompts"` (4 words, should be 3)
### Bug 3: No retry on 0 results
Reddit has multi-stage retry: full query → simplified core → subreddit fallback. X search runs once and accepts whatever comes back, even 0 results.
## Proposed Fix
All changes in `scripts/lib/bird_x.py`.
### Step 1: Fix `_extract_core_subject()` — strip phrases first, then words
```python
def _extract_core_subject(topic: str) -> str:
"""Extract core subject from verbose query for X search."""
text = topic.lower()
# Phase 1: Strip multi-word prefixes/suffixes (order matters - longest first)
prefixes = ['what are the best', 'what is the best', 'what are', 'what is',
'how to', 'how do i', 'tips for', 'best practices for']
for p in prefixes:
if text.startswith(p):
text = text[len(p):].strip()
break
suffixes = ['best practices', 'use cases', 'prompt techniques',
'prompting techniques']
for s in suffixes:
if text.endswith(s):
text = text[:-len(s)].strip()
break
# Phase 2: Split and filter individual noise words
noise = {'best', 'top', 'practices', 'features', 'killer', 'guide',
'tutorial', 'recommendations', 'advice', 'prompting', 'prompt',
'prompts', 'techniques', 'tips', 'tricks', 'methods',
'strategies', 'review', 'reviews', 'uses', 'usecases',
'examples', 'using', 'for', 'with', 'the', 'of', 'in', 'on',
'about', 'latest', 'new', 'news', 'update', 'updates',
'good', 'great', 'awesome', 'and', 'or', 'a', 'an', 'is',
'are', 'was', 'were', 'people', 'saying', 'think', 'said'}
words = text.split()
result = [w for w in words if w not in noise]
return ' '.join(result[:3]) or topic # Max 3 words (was 4)
```
**Expected results after fix:**
| Input | Before | After |
|-------|--------|-------|
| `vibe motion best prompt techniques` | `vibe motion prompt techniques` | `vibe motion` |
| `what are people saying about DeepSeek R1` | `what are people saying` | `deepseek r1` |
| `nano banana pro prompts for gemini` | `nano banana pro prompts` | `nano banana pro` |
| `open claw best uses` | `open claw uses` | `open claw` |
| `best claude code skills` | `claude code skills` | `claude code skills` |
| `kanye west` | `kanye west` | `kanye west` |
### Step 2: Add retry with simplified query on 0 results
In `search_x()`, after the initial search, if 0 items returned, retry with just the first 2 words of the core subject:
```python
def search_x(topic, from_date, to_date, depth="default"):
count = DEPTH_CONFIG.get(depth, DEPTH_CONFIG["default"])
core_topic = _extract_core_subject(topic)
query = f"{core_topic} since:{from_date}"
# ... existing Bird search code ...
items = parse_bird_response(response)
# Retry with fewer keywords if 0 results
if not items and len(core_topic.split()) > 2:
shorter = ' '.join(core_topic.split()[:2])
_log(f"0 results for '{core_topic}', retrying with '{shorter}'")
query = f"{shorter} since:{from_date}"
# ... retry Bird search ...
items = parse_bird_response(retry_response)
return response # or merged response
```
### Step 3 (optional): Cross-pollinate Reddit entities into X Phase 2
When X Phase 1 returns 0 results but Reddit found threads, extract brand/product names from Reddit thread titles and use them as X search fallback queries. This is lower priority — Steps 1-2 should fix most cases.
## Acceptance Criteria
- [x] `vibe motion best prompt techniques` returns >0 X posts (12 posts found)
- [x] `what are people saying about DeepSeek R1` produces query containing "deepseek r1" not "what are people saying"
- [x] No regressions on working queries (`kanye west`, `claude code skills`, `open claw`)
- [x] Retry fires when initial query returns 0, logged to stderr
- [x] `openai_reddit.py`'s `_extract_core_subject()` NOT changed (Reddit uses semantic search, not literal matching — the current function works fine there)
## Files to Change
- `scripts/lib/bird_x.py``_extract_core_subject()` rewrite + retry logic in `search_x()`
- `scripts/lib/bird_x.py``search_handles()` benefits automatically (calls `_extract_core_subject()`)
## Testing
```bash
# Mock mode (quick syntax check)
python3 scripts/last30days.py "vibe motion best prompt techniques" --mock --emit=compact 2>&1
# Live queries to verify X results
python3 scripts/last30days.py "vibe motion best prompt techniques" --quick --emit=compact 2>&1 | grep -E "X:|posts"
python3 scripts/last30days.py "what are people saying about DeepSeek R1" --quick --emit=compact 2>&1 | grep -E "X:|posts"
# Regression check
python3 scripts/last30days.py "kanye west" --quick --emit=compact 2>&1 | grep -E "X:|posts"
```
@@ -0,0 +1,67 @@
---
title: "release: Push V2 to public repo and launch"
type: release
date: 2026-02-07
---
# release: Push V2 to public repo and launch
## Overview
Push all V2 changes from the private development repo to the public GitHub repo, then sync the installed skill. 52 commits need to go from `origin/main` (private) to `upstream/main` (public).
## Current State
- **Private repo:** `https://github.com/mvanhorn/last30days-skill-private` - 52 commits ahead of public
- **Public repo:** `https://github.com/mvanhorn/last30days-skill` - last commit is V1 (`cc892d7`)
- **Upstream remote:** Already configured in private repo
- **Untracked files in private:** test logs, draft plans - these should NOT be pushed
## Steps
### Step 1: Clean up private repo
- [ ] Review untracked files - make sure nothing sensitive gets pushed
- [ ] Decide: commit the untracked docs/plans or leave them out of the push
### Step 2: Push to public
```bash
cd /Users/mvanhorn/last30days-skill-private
git push upstream main
```
This pushes all 52 commits from private `main` to public `main`. Since the private repo was forked from public, history is shared - this is a fast-forward push.
### Step 3: Sync installed skill
```bash
# Update the installed copy that Claude Code actually uses
cd ~/.claude/skills/last30days
git pull origin main
```
### Step 4: Verify
- [ ] Check `https://github.com/mvanhorn/last30days-skill` shows V2 README with new examples
- [ ] Check SKILL.md has the new argument-hint and timing disclaimer
- [ ] Check bird_x.py has the fixed `_extract_core_subject()` and retry logic
- [ ] Run a quick `/last30days` test to confirm installed skill works
## What Gets Published
Key files going public:
- `README.md` - V2 features, 3 new examples (Nano Banana Pro, Kanye, Vibe Motion), speed tradeoff note
- `SKILL.md` - New argument-hint, timing disclaimer, citation rules
- `scripts/lib/bird_x.py` - Fixed query construction + retry logic
- `scripts/lib/http.py` - USER_AGENT bumped to 2.0
- `.claude-plugin/plugin.json` - Marketplace support
- All Bird CLI integration code
- Phase 2 supplemental search code
- Model fallback chain
## Risks
- **Low risk:** This is a fast-forward push, no force push needed
- **Public API keys:** Already confirmed - no `.env` files or secrets in the repo
- **Untracked files:** Won't be pushed unless committed first
@@ -0,0 +1,243 @@
---
title: "feat: Add Codex CLI compatibility"
type: feat
date: 2026-02-14
---
# feat: Add Codex CLI Compatibility
## Overview
Make /last30days work as a Codex CLI skill alongside Claude Code. Both platforms use `SKILL.md` with YAML frontmatter — the gap is small but the details matter. Inspired by PR #24 (el-analista) and PR #5 (jblwilliams) on the public repo, applied to the v2.1 codebase.
## Research Findings
### How Codex Skills Work (from [official docs](https://developers.openai.com/codex/skills))
**Format:** Identical to Claude Code — `SKILL.md` with YAML frontmatter + Markdown body.
**Required frontmatter:** Only `name` and `description`. The official skill-creator guidance says "Do not include any other fields in YAML frontmatter." This is stricter than Claude Code which allows `version`, `allowed-tools`, `argument-hint`, etc.
**Discovery:** Codex uses "progressive disclosure" — it reads ONLY the `description` field to decide whether to invoke a skill. The body loads only after triggering. This means the description must be comprehensive about when to use/not use the skill.
**Invocation:** Users invoke with `$skill-name` or `/skills` menu. Codex can also implicitly match based on the description (configurable via `agents/openai.yaml`).
**Installation paths** (scanned in order):
| Scope | Path |
|-------|------|
| Folder | `$CWD/.agents/skills/` |
| Repo | `$REPO_ROOT/.agents/skills/` |
| User | `$HOME/.agents/skills/` |
| Admin | `/etc/codex/skills/` |
| System | Bundled |
Note: Some docs also mention `~/.codex/skills/` as an alias for `$HOME/.agents/skills/`. Both should be checked.
**`agents/openai.yaml`** (optional sidecar):
```yaml
interface:
display_name: "User-facing name"
short_description: "Brief description"
default_prompt: "Surrounding prompt template"
brand_color: "#hex"
policy:
allow_implicit_invocation: true
dependencies:
tools:
- type: "mcp"
value: "toolName"
```
**Size guidance:** Keep SKILL.md under 500 lines. Use `references/` directory for detailed docs that load on demand.
**Scripts:** Put executable code in `scripts/`. These can run without being loaded into context — good for our Python research engine.
### What Real Codex Skills Look Like (from [openai/skills catalog](https://github.com/openai/skills))
**openai-docs skill** — Uses MCP tools (`mcp__openaiDeveloperDocs__search_openai_docs`). Has a workflow section, fallback instructions if MCP isn't set up, and quality rules. Clean and focused.
**pdf skill** — Runs scripts (`pdftoppm`, `reportlab`), has file conventions (`tmp/pdfs/`, `output/pdf/`), specifies dependencies. Good example of a skill that shells out to tools like we do.
**skill-creator** — The meta-skill. Emphasizes "the context window is a public good" and treating the LLM as "already very smart — only add information it genuinely lacks." Has 6 creation steps, validation scripts, and naming conventions.
### Key Insight: Frontmatter Compatibility Problem
Claude Code SKILL.md uses:
```yaml
name: last30days
version: "2.1"
description: Research a topic...
argument-hint: 'nano banana pro prompts...'
allowed-tools: Bash, Read, Write, AskUserQuestion, WebSearch
```
Codex wants only `name` and `description`. The question: does Codex error on unknown frontmatter fields, or ignore them?
**Safe answer:** Codex uses standard YAML parsing and likely ignores unknown keys. But the official guidance says "Do not include any other fields" — meaning it's untested territory and could break in future Codex updates.
**Our approach:** Keep one SKILL.md with Claude-specific fields. If Codex chokes, we add a thin wrapper. This is pragmatic — maintaining two SKILL.md files defeats the purpose of cross-platform compatibility.
### PR #24 Analysis (el-analista)
Good ideas to incorporate:
- Portable script path resolution (repo → Claude → Codex → agents)
- `agents/openai.yaml` for Codex discovery
- Platform-neutral output text ("assistant" instead of "Claude")
- Sandbox-friendly cache/output dir fallbacks with env var overrides
- Last-chance retry for Bird search (better query noise stripping)
Not applicable to v2.1:
- Based on v2.0 codebase — doesn't have YouTube, vendored Bird, or pipeline changes
- We'll cherry-pick the ideas, not the code
### PR #5 Analysis (jblwilliams)
Not needed:
- Codex JWT auth — our OpenAI API calls work natively in Codex already
- SSE response handling — we don't stream responses
- The 403 enrichment issues they hit are specific to Codex-hosted auth, not our use case
## Proposed Solution
Five changes, all additive — zero impact on existing Claude Code behavior:
### 1. Add `agents/openai.yaml` for Codex discovery
```yaml
interface:
display_name: "Last 30 Days"
short_description: "Research any topic across Reddit, X, YouTube, and the web from the last 30 days. Returns synthesized expert answers and copy-paste prompts."
default_prompt: "Research this topic from the last 30 days across Reddit, X, YouTube, and web. Synthesize what people are actually saying, upvoting, and sharing right now."
brand_color: "#FF6B35"
policy:
allow_implicit_invocation: true
```
### 2. Make SKILL.md script path portable
Replace the hardcoded Claude path with a lookup that checks multiple install locations:
```bash
# Find the skill root
for dir in \
"." \
"${CLAUDE_PLUGIN_ROOT:-}" \
"$HOME/.claude/skills/last30days" \
"$HOME/.agents/skills/last30days" \
"$HOME/.codex/skills/last30days"; do
[ -n "$dir" ] && [ -f "$dir/scripts/last30days.py" ] && SKILL_ROOT="$dir" && break
done
if [ -z "${SKILL_ROOT:-}" ]; then
echo "ERROR: Could not find scripts/last30days.py" >&2
exit 1
fi
python3 "${SKILL_ROOT}/scripts/last30days.py" "$ARGUMENTS" --emit=compact 2>&1
```
### 3. Platform-neutral Python output text
Replace "Claude" with "assistant" in LLM-facing output strings only. Human-facing docs (README, etc.) stay as-is.
Files:
- `scripts/last30days.py` — web search marker text (~3 lines)
- `scripts/lib/render.py` — docstrings + web-only banner (~4 lines)
- `scripts/lib/http.py` — User-Agent string (~1 line)
### 4. Sandbox-friendly cache/output dirs
Codex runs sandboxed. Add env var overrides + tempdir fallback (from PR #24):
**`scripts/lib/cache.py`:**
- Check `LAST30DAYS_CACHE_DIR` env var
- Catch `PermissionError`, fall back to `tempfile.gettempdir()/last30days/cache`
**`scripts/lib/render.py`:**
- Check `LAST30DAYS_OUTPUT_DIR` env var
- Catch `PermissionError`, fall back to `tempfile.gettempdir()/last30days/out`
### 5. README + installation docs
Add a "Codex Compatibility" section to README:
```markdown
## Codex Compatibility
This skill works in both Claude Code and OpenAI Codex CLI.
**Claude Code:** `git clone` into `~/.claude/skills/last30days`
**Codex CLI:** `git clone` into `~/.agents/skills/last30days`
Both use the same SKILL.md, same Python engine, same scripts.
The `agents/openai.yaml` provides Codex-specific discovery metadata.
```
## What We're NOT Doing
- **Separate SKILL.md for Codex** — One file, both platforms. Claude-specific frontmatter fields (`allowed-tools`, `version`, `argument-hint`) are likely ignored by Codex's YAML parser. If this breaks, we'll address it then.
- **Codex JWT auth (PR #5)** — Our OpenAI Responses API calls work natively in Codex. No special handling needed.
- **SSE streaming (PR #5)** — Not our use case.
- **Codex-specific tool names in SKILL.md** — Both LLMs understand "do a web search" and "run this bash command." The instructions work cross-platform as-is.
- **Publishing to openai/skills catalog** — Out of scope for now. Users install via git clone.
## Acceptance Criteria
- [x] `agents/openai.yaml` exists with proper `interface` and `policy` sections
- [x] SKILL.md uses portable path resolution (repo checkout, `~/.claude/skills/`, `~/.agents/skills/`, `~/.codex/skills/`)
- [x] Python scripts use "assistant" instead of "Claude" in LLM-facing output (~8 string replacements)
- [x] Cache dir falls back gracefully in sandboxed environments (`LAST30DAYS_CACHE_DIR` env var + `PermissionError` catch)
- [x] Output dir falls back gracefully in sandboxed environments (`LAST30DAYS_OUTPUT_DIR` env var + `PermissionError` catch)
- [x] Existing Claude Code behavior is unchanged (zero regressions)
- [x] README documents Codex installation path (`~/.agents/skills/last30days`)
- [x] `python3 scripts/last30days.py "test topic" --mock --emit=compact` still works
## Files to Create/Modify
### New Files
- `agents/openai.yaml` — Codex discovery metadata (~10 lines)
### Modified Files
- `SKILL.md` — Portable script path resolution (~15 lines changed)
- `README.md` — Add "Codex Compatibility" section (~15 lines)
- `scripts/last30days.py` — "Claude" → "assistant" in output strings (~3 lines)
- `scripts/lib/render.py` — "Claude" → "assistant" + output dir fallback (~15 lines)
- `scripts/lib/cache.py` — Cache dir env override + fallback (~12 lines)
- `scripts/lib/http.py` — User-Agent string (~1 line)
### Total scope: ~70 lines changed across 7 files. Small, additive, low risk.
## Dependencies & Risks
| Risk | Likelihood | Mitigation |
|------|-----------|------------|
| Codex rejects unknown YAML frontmatter (`allowed-tools`, etc.) | Low-Medium | Standard YAML parsers ignore unknown keys. If it breaks, strip Claude-specific fields and use `agents/openai.yaml` for metadata. |
| Codex sandbox blocks Node.js (vendored Bird) | Medium | Bird failure already falls back to xAI API. If no xAI key, X search skipped gracefully. |
| yt-dlp not in Codex sandbox PATH | Medium | YouTube already degrades gracefully — "yt-dlp not installed, skipping YouTube." |
| Codex sandbox blocks `~/.cache/` writes | Medium | Env var override + tempdir fallback handles this. (Proven approach from PR #24) |
| Codex changes skill discovery paths | Low | We check 5 paths. Easy to add more. |
| Codex description matching triggers on wrong queries | Low | Write description with clear "use when" / "do not use when" boundaries per official guidance. |
## References
### Community PRs
- [PR #24](https://github.com/mvanhorn/last30days-skill/pull/24) (el-analista) — Codex compatibility, portable paths, platform-neutral text
- [PR #5](https://github.com/mvanhorn/last30days-skill/pull/5) (jblwilliams) — Codex auth support
### Official Codex Docs
- [Agent Skills](https://developers.openai.com/codex/skills) — SKILL.md format, discovery, installation paths
- [AGENTS.md Guide](https://developers.openai.com/codex/guides/agents-md/) — Custom instructions, hierarchical loading
- [Codex CLI Features](https://developers.openai.com/codex/cli/features/) — Overview of CLI capabilities
- [Configuration Reference](https://developers.openai.com/codex/config-reference/) — config.toml, skill enable/disable
### Examples
- [openai/skills catalog](https://github.com/openai/skills) — Official curated skills
- [skill-creator](https://github.com/openai/skills/blob/main/skills/.system/skill-creator/SKILL.md) — Meta-skill for creating skills, best practices
- [pdf skill](https://github.com/openai/skills/blob/main/skills/.curated/pdf/SKILL.md) — Example of skill that runs external scripts
- [openai-docs skill](https://github.com/openai/skills/blob/main/skills/.curated/openai-docs/SKILL.md) — Example of MCP-backed skill
### Community Analysis
- [Skills in OpenAI Codex](https://blog.fsck.com/2025/12/19/codex-skills/) — Jesse Vincent's deep dive on skill internals
- [Simon Willison on skills adoption](https://simonw.substack.com/p/openai-are-quietly-adopting-skills) — Cross-platform skill format analysis
- [SkillsMP marketplace](https://skillsmp.com/) — Community marketplace supporting both Claude Code and Codex skills
@@ -0,0 +1,224 @@
---
title: "feat: Merge OpenClaw variant into main repo"
type: feat
date: 2026-02-14
---
# feat: Merge OpenClaw Variant into Main Repo
## Overview
Consolidate the `last30days-openclaw` project into `last30days-skill-private` so there's one unified Python engine powering both the main skill (Claude Code / Codex) and an "open" variant with watchlist, briefing, history, and built-in web search. The open variant also gets YouTube and Bird CLI — features the main project already has but openclaw was built before they existed.
## Problem Statement / Motivation
Right now there are two separate repos with diverging codebases:
- **`last30days-skill-private`** (main, Feb 14) — YouTube, vendored Bird, better scoring/normalization, Codex compat. But no built-in web search APIs and no persistence layer.
- **`last30days-openclaw`** (Feb 10) — SQLite store, watchlist, briefings, 3 web search backends (Parallel AI, Brave, OpenRouter). But frozen without YouTube or latest engine improvements.
They share ~80% of the same `scripts/lib/` files but are drifting apart. Maintaining two codebases is unsustainable.
**Goal:** One repo, one Python engine, two SKILL.md variants. Install once, works everywhere.
## Proposed Solution
Use `last30days-skill-private` as the base (it's 4 days newer with better code) and port the OpenClaw-exclusive features in:
### What gets ported from OpenClaw
| File | What it does | Destination |
|------|-------------|-------------|
| `scripts/store.py` | SQLite research accumulator (WAL, FTS5, dedup) | `scripts/store.py` |
| `scripts/watchlist.py` | Topic watchlist CLI (add/remove/list/run) | `scripts/watchlist.py` |
| `scripts/briefing.py` | Morning briefing generator (daily/weekly) | `scripts/briefing.py` |
| `scripts/lib/brave_search.py` | Brave Search API (free tier, 2K/mo) | `scripts/lib/brave_search.py` |
| `scripts/lib/parallel_search.py` | Parallel AI search (LLM-optimized) | `scripts/lib/parallel_search.py` |
| `scripts/lib/openrouter_search.py` | OpenRouter/Sonar Pro search | `scripts/lib/openrouter_search.py` |
| `references/research.md` | One-shot research instructions | `variants/open/references/research.md` |
| `references/watchlist.md` | Watchlist mode instructions | `variants/open/references/watchlist.md` |
| `references/briefing.md` | Briefing mode instructions | `variants/open/references/briefing.md` |
| `references/history.md` | History query instructions | `variants/open/references/history.md` |
### What gets upgraded in the ported code
- **`store.py`**: No changes needed — it's self-contained SQLite, works as-is
- **`watchlist.py`**: Remove OpenClaw cron-specific code, make cron setup generic (launchd on macOS, systemd on Linux, or manual cron)
- **`briefing.py`**: No changes needed
- **`scripts/lib/env.py`**: Merge OpenClaw's web search key support (`PARALLEL_API_KEY`, `BRAVE_API_KEY`, `OPENROUTER_API_KEY`) and `has_web_search_keys()` / `get_web_search_source()` functions into main's env.py. Drop the OpenClaw config loader (`~/.openclaw/openclaw.json`) — just use env vars and `~/.config/last30days/.env`
- **`scripts/last30days.py`**: Add OpenClaw's `_search_web()` function so the script can do web search natively when API keys are available (instead of always delegating to the assistant)
### What gets DROPPED from OpenClaw
| File | Why |
|------|-----|
| `scripts/cron_setup.py` | Too OpenClaw-platform-specific. Replace with generic scheduling docs. |
| OpenClaw config loader in `env.py` | `~/.openclaw/openclaw.json` path is platform-specific. Use env vars instead. |
| `.clawhubignore` | OpenClaw marketplace artifact, not needed in unified repo |
### New file: Open variant SKILL.md
Create `variants/open/SKILL.md` — the multi-mode skill with command routing:
```
variants/open/
├── SKILL.md # Router: watch, briefing, history, or one-shot
├── references/
│ ├── research.md # One-shot research instructions
│ ├── watchlist.md # Watchlist management instructions
│ ├── briefing.md # Briefing mode instructions
│ └── history.md # History query instructions
└── context.md # Agent memory (user preferences, source quality)
```
The open variant's SKILL.md points to `{baseDir}/scripts/last30days.py` (same engine) but adds the router and reference file system. It also adds the `--store` flag for persistence.
### How YouTube and Bird CLI get added to the open variant
They're already in `scripts/lib/youtube_yt.py` and `scripts/lib/vendor/bird/`. The open variant's SKILL.md just needs to mention YouTube in its description and the research.md reference file gets the YouTube stats line in the output format. No code changes needed — the Python engine already supports all four sources.
## Technical Considerations
### File Structure After Merge
```
last30days-skill-private/
├── SKILL.md # Main skill (Claude Code / Codex)
├── agents/openai.yaml # Codex discovery (existing)
├── variants/
│ └── open/
│ ├── SKILL.md # Open variant with routing
│ ├── references/
│ │ ├── research.md
│ │ ├── watchlist.md
│ │ ├── briefing.md
│ │ └── history.md
│ └── context.md
├── scripts/
│ ├── last30days.py # Unified engine (+ native web search)
│ ├── store.py # SQLite accumulator (from openclaw)
│ ├── watchlist.py # Watchlist CLI (from openclaw, genericized)
│ ├── briefing.py # Briefing generator (from openclaw)
│ └── lib/
│ ├── ... (existing files)
│ ├── brave_search.py # NEW from openclaw
│ ├── parallel_search.py # NEW from openclaw
│ ├── openrouter_search.py # NEW from openclaw
│ ├── youtube_yt.py # Existing
│ └── vendor/bird/ # Existing
└── README.md # Updated with open variant docs
```
### Installation for open variant users
```bash
# Claude Code (main skill — unchanged)
git clone https://github.com/mvanhorn/last30days-skill.git ~/.claude/skills/last30days
# Open variant (with watchlist, briefings, history)
git clone https://github.com/mvanhorn/last30days-skill.git ~/.claude/skills/last30days
# Then in Claude Code settings, point skill to variants/open/SKILL.md
# OR symlink:
ln -sf ~/.claude/skills/last30days/variants/open/SKILL.md ~/.claude/skills/last30days-open/SKILL.md
```
### env.py merge strategy
Main's `env.py` is the base. Add from OpenClaw:
- Three new key names: `PARALLEL_API_KEY`, `BRAVE_API_KEY`, `OPENROUTER_API_KEY`
- `has_web_search_keys()` function
- `get_web_search_source()` function — returns `'parallel'`, `'brave'`, or `'openrouter'`
- `get_available_sources()` update to include web-search-capable modes
### last30days.py merge strategy
Main's `last30days.py` is the base. Add from OpenClaw:
- `_search_web()` function that calls the appropriate web search backend
- `--store` CLI flag to persist findings to SQLite
- `--diagnose` CLI flag for source availability diagnostics
- Web results integration into the existing report pipeline (normalize → score → dedupe → render)
Keep main's:
- YouTube integration
- Phase 2 supplemental search
- 3-tier Reddit fallback
- Better error handling
- Minimum result guarantee
### Portable path resolution (already done)
The main SKILL.md already has portable path resolution (from Codex compat work):
```bash
for dir in "." "${CLAUDE_PLUGIN_ROOT:-}" "$HOME/.claude/skills/last30days" ...
```
The open variant's SKILL.md uses `{baseDir}` which resolves to the skill root. Both approaches work — we just need to make sure the open variant's references use `{baseDir}` consistently.
## Acceptance Criteria
- [x] `scripts/store.py` ported and working (SQLite creates on first use)
- [x] `scripts/watchlist.py` ported with generic scheduling (no OpenClaw cron dependency)
- [x] `scripts/briefing.py` ported and generates daily/weekly briefings
- [x] `scripts/lib/brave_search.py` ported and functional
- [x] `scripts/lib/parallel_search.py` ported and functional
- [x] `scripts/lib/openrouter_search.py` ported and functional
- [x] `scripts/lib/env.py` updated with web search key support
- [x] `scripts/last30days.py` has native `_search_web()` + `--store` + `--diagnose`
- [x] `variants/open/SKILL.md` exists with command routing (watch, briefing, history, research)
- [x] `variants/open/references/*.md` — all 4 reference files ported
- [x] Open variant mentions YouTube in description and research output format
- [x] Open variant uses same portable path resolution as main
- [x] Main SKILL.md behavior is unchanged (zero regressions)
- [x] `python3 scripts/last30days.py "test topic" --mock --emit=compact` still works
- [x] `python3 scripts/last30days.py "test topic" --diagnose` shows source availability
- [x] README documents open variant installation and usage
## Dependencies & Risks
| Risk | Likelihood | Mitigation |
|------|-----------|------------|
| OpenClaw's store.py has import dependencies we don't have | Low | store.py uses only stdlib (sqlite3, json, datetime). Self-contained. |
| Web search backends need API keys to test | Medium | Each has a `--mock` or dry-run path. Test with real keys if available, mock otherwise. |
| watchlist.py depends on OpenClaw cron API | High | Known — strip cron_setup.py dependency, replace with generic docs for launchd/systemd/crontab. |
| Open variant SKILL.md is too long (>500 lines) | Medium | Use reference file pattern (already planned). Router SKILL.md stays under 100 lines. |
| env.py merge introduces regressions | Low | Main's env.py is well-tested. Additive changes only — new keys, new functions. |
| Two SKILL.md files = maintenance burden | Low | They serve different purposes. Main is simple one-shot. Open adds routing. Core engine is shared. |
## Files to Create/Modify
### New Files
- `variants/open/SKILL.md` — Open variant router (~100 lines)
- `variants/open/references/research.md` — One-shot research instructions (from openclaw, updated with YouTube)
- `variants/open/references/watchlist.md` — Watchlist management instructions (from openclaw)
- `variants/open/references/briefing.md` — Briefing mode instructions (from openclaw)
- `variants/open/references/history.md` — History query instructions (from openclaw)
- `variants/open/context.md` — Agent memory template
- `scripts/store.py` — SQLite accumulator (from openclaw, as-is)
- `scripts/watchlist.py` — Watchlist CLI (from openclaw, genericized)
- `scripts/briefing.py` — Briefing generator (from openclaw, as-is)
- `scripts/lib/brave_search.py` — Brave Search API (from openclaw)
- `scripts/lib/parallel_search.py` — Parallel AI search (from openclaw)
- `scripts/lib/openrouter_search.py` — OpenRouter/Sonar Pro search (from openclaw)
### Modified Files
- `scripts/lib/env.py` — Add web search key support (~30 lines added)
- `scripts/last30days.py` — Add `_search_web()`, `--store`, `--diagnose` (~80 lines added)
- `README.md` — Add open variant section (~20 lines)
### Total scope: ~12 new files (mostly copied), ~130 lines of new code in existing files.
## References
### Internal
- OpenClaw plan: `/Users/mvanhorn/last30days-openclaw/docs/plans/2026-02-10-feat-openclaw-last30days-skill-plan.md` (989 lines, comprehensive spec)
- Codex compat plan: `docs/plans/2026-02-14-feat-codex-skill-compatibility-plan.md` (portable paths, platform-neutral text)
- OpenClaw source: `/Users/mvanhorn/last30days-openclaw/`
### Key files to port
- `store.py`: `/Users/mvanhorn/last30days-openclaw/scripts/store.py` (20KB, SQLite with FTS5)
- `watchlist.py`: `/Users/mvanhorn/last30days-openclaw/scripts/watchlist.py` (10KB)
- `briefing.py`: `/Users/mvanhorn/last30days-openclaw/scripts/briefing.py` (8KB)
- `brave_search.py`: `/Users/mvanhorn/last30days-openclaw/scripts/lib/brave_search.py` (6KB)
- `parallel_search.py`: `/Users/mvanhorn/last30days-openclaw/scripts/lib/parallel_search.py` (4KB)
- `openrouter_search.py`: `/Users/mvanhorn/last30days-openclaw/scripts/lib/openrouter_search.py` (7KB)
- `env.py` (openclaw version): `/Users/mvanhorn/last30days-openclaw/scripts/lib/env.py` (9KB — has web search key functions)
@@ -0,0 +1,315 @@
---
title: "feat: Add YouTube transcript search as 4th source"
type: feat
date: 2026-02-14
---
# feat: Add YouTube Transcript Search
## Overview
Add YouTube as a 4th research source alongside Reddit, X, and Web. Search for recent videos on the user's topic, fetch transcripts from the top results, and feed the transcript text into the synthesis — giving the Judge Agent access to what people are *saying* in video form, not just what they're posting on social media.
**Why this matters:** For many topics (tutorials, product reviews, drama breakdowns), the best content lives on YouTube, not Reddit or X. A 20-minute video review contains 10x the signal of a tweet. The skill currently misses all of it.
## Proposed Solution
Use **yt-dlp** (already installed via Homebrew) for both YouTube search and transcript extraction. No new API keys, no new dependencies. Follows the same "zero friction" philosophy as vendored Bird search.
### Two-step process per research run:
1. **Search**: `yt-dlp "ytsearch{N}:{topic}" --dateafter {30d_ago} --flat-playlist --print` → top videos by view count
2. **Transcripts**: For top 5 videos, extract auto-generated subtitles via `yt-dlp --write-auto-subs --skip-download`, clean VTT to plaintext in Python
### Why NOT use `summarize` CLI:
- Adds 146MB brew dependency (arm64-only binary)
- Calls OpenAI API per video ($0.01-0.03 each) — adds cost on top of existing API usage
- yt-dlp already extracts raw transcripts for free (covers ~95% of videos with auto-captions)
- Raw transcripts are better for synthesis anyway — the LLM doing synthesis (Claude) should interpret the content itself, not get a pre-summarized version
`summarize` is a great standalone tool, but for integration into a research pipeline where an LLM already synthesizes everything, raw transcripts are the right input.
## Technical Approach
### Architecture
New file: `scripts/lib/youtube_yt.py` (mirrors `bird_x.py` pattern)
```
yt-dlp search → metadata (title, views, channel, date)
sort by views, take top N
yt-dlp subtitle extraction → raw VTT files
VTT cleanup → plaintext transcripts
truncate to ~500 words per video
normalize → YouTubeItem objects
score, dedupe, render (same pipeline as Reddit/X)
```
### Implementation Phases
#### Phase 1: Search + Metadata (the fast part)
**New file: `scripts/lib/youtube_yt.py`**
Core search function:
```python
def search_youtube(topic: str, from_date: str, to_date: str, depth: str = "default") -> Dict[str, Any]:
"""Search YouTube via yt-dlp. No API key needed.
Returns:
Dict with 'items' list of video metadata dicts.
"""
count = DEPTH_CONFIG.get(depth, DEPTH_CONFIG["default"])
date_filter = from_date.replace("-", "") # YYYYMMDD format
# yt-dlp search with metadata extraction
cmd = [
"yt-dlp",
f"ytsearch{count}:{topic}",
"--dateafter", date_filter,
"--flat-playlist",
"--print", "%(view_count)s\t%(id)s\t%(title)s\t%(channel)s\t%(upload_date)s\t%(like_count)s\t%(comment_count)s",
]
result = subprocess.run(cmd, capture_output=True, text=True, timeout=30)
# Parse tab-separated output, sort by views, return top N
...
```
Depth config (matches existing pattern):
```python
DEPTH_CONFIG = {
"quick": 10, # search 10, transcript top 3
"default": 20, # search 20, transcript top 5
"deep": 40, # search 40, transcript top 8
}
TRANSCRIPT_LIMITS = {
"quick": 3,
"default": 5,
"deep": 8,
}
```
**Key detail**: `yt-dlp --flat-playlist` returns exit code 0 with empty stdout when `--dateafter` filters out everything. Check for empty output, not error codes.
#### Phase 2: Transcript Extraction (the slow part)
For top N videos (by view count), fetch transcripts:
```python
def fetch_transcript(video_id: str, temp_dir: str) -> Optional[str]:
"""Fetch auto-generated transcript for a YouTube video.
Returns:
Plaintext transcript string, or None if no captions available.
"""
cmd = [
"yt-dlp",
"--write-auto-subs",
"--sub-lang", "en",
"--sub-format", "vtt",
"--skip-download",
"-o", f"{temp_dir}/%(id)s",
f"https://www.youtube.com/watch?v={video_id}",
]
subprocess.run(cmd, capture_output=True, text=True, timeout=30)
vtt_path = Path(temp_dir) / f"{video_id}.en.vtt"
if not vtt_path.exists():
return None
return _clean_vtt(vtt_path.read_text())
```
VTT cleanup (~10 lines of Python):
```python
def _clean_vtt(vtt_text: str) -> str:
"""Convert VTT subtitle format to clean plaintext."""
text = re.sub(r'^WEBVTT.*?\n\n', '', vtt_text, flags=re.DOTALL)
text = re.sub(r'\d{2}:\d{2}:\d{2}\.\d{3} --> \d{2}:\d{2}:\d{2}\.\d{3}.*\n', '', text)
text = re.sub(r'<[^>]+>', '', text)
lines = text.strip().split('\n')
seen = set()
unique = []
for line in lines:
stripped = line.strip()
if stripped and stripped not in seen:
seen.add(stripped)
unique.append(stripped)
return re.sub(r'\s+', ' ', ' '.join(unique)).strip()
```
**Parallelization**: Run transcript fetches in parallel using ThreadPoolExecutor (same pattern as Phase 2 supplemental searches for Reddit/X):
```python
def fetch_transcripts_parallel(video_ids: List[str], max_workers: int = 5) -> Dict[str, Optional[str]]:
"""Fetch transcripts for multiple videos in parallel."""
with tempfile.TemporaryDirectory() as temp_dir:
with ThreadPoolExecutor(max_workers=max_workers) as executor:
futures = {
executor.submit(fetch_transcript, vid, temp_dir): vid
for vid in video_ids
}
results = {}
for future in as_completed(futures):
vid = futures[future]
results[vid] = future.result()
return results
```
#### Phase 3: Integration into Pipeline
**Update `scripts/lib/schema.py`** — add YouTubeItem:
```python
@dataclass
class YouTubeItem:
id: str # video_id
title: str
url: str
channel_name: str
date: Optional[str]
date_confidence: str # always "high" for YouTube
engagement: Engagement # views, likes, comments
transcript_snippet: str # first ~500 words of transcript
relevance: float
why_relevant: str
subs: Optional[SubScores] = None
score: int = 0
```
Update `Report` to add:
```python
youtube: List[YouTubeItem] = field(default_factory=list)
youtube_error: Optional[str] = None
```
**Update `scripts/lib/score.py`** — YouTube-specific engagement weights:
```python
def compute_youtube_engagement_raw(views, likes, comments):
"""YouTube engagement: views dominate, likes secondary, comments tertiary."""
return (
0.50 * math.log1p(views or 0) +
0.35 * math.log1p(likes or 0) +
0.15 * math.log1p(comments or 0)
)
```
**Update `scripts/last30days.py`** — add YouTube to ThreadPoolExecutor:
```python
with ThreadPoolExecutor(max_workers=3) as executor: # was 2
if run_reddit:
reddit_future = executor.submit(_search_reddit, ...)
if run_x:
x_future = executor.submit(_search_x, ...)
if run_youtube:
youtube_future = executor.submit(_search_youtube, ...)
```
**Update `scripts/lib/render.py`** — YouTube section in compact output:
```
### YouTube Videos
**{id}** (score:{score}) {channel_name} ({date}) [{views} views, {likes} likes]
{title}
https://www.youtube.com/watch?v={id}
{transcript_snippet[:200]}...
*{why_relevant}*
```
**Update `scripts/lib/env.py`** — YouTube availability detection:
```python
def is_ytdlp_available() -> bool:
return shutil.which("yt-dlp") is not None
```
No API key needed. YouTube search is available whenever yt-dlp is in PATH.
#### Phase 4: SKILL.md Updates
Stats box adds YouTube line:
```
├─ 🎥 YouTube: {N} videos │ {N} views │ {N} transcripts
```
Citation priority updated:
```
1. @handles from X
2. YouTube creators — "per [Channel Name] on YouTube"
3. r/subreddits from Reddit
4. Web sources
```
Synthesis instructions updated to weight YouTube transcripts highly — a 20-minute video transcript with 500K views is a stronger signal than a tweet with 50 likes.
## Acceptance Criteria
- [x] `yt-dlp` search returns videos matching topic within date range
- [x] Transcripts extracted for top N videos (auto-generated captions)
- [x] Videos without captions gracefully skipped (no error)
- [x] YouTube results appear in compact output with engagement metrics
- [x] YouTube items scored and ranked alongside Reddit/X items
- [x] YouTube auto-activates when yt-dlp is available (no --sources flag needed)
- [x] SKILL.md stats box includes YouTube line
- [x] Transcript snippets (first ~500 words) included in output for LLM synthesis
- [ ] Total YouTube search + transcript extraction completes within 30 seconds
- [x] Works when yt-dlp is not installed (graceful degradation, no crash)
- [ ] Mock mode works for testing without network
## Dependencies & Risks
**Dependencies:**
- `yt-dlp` (Homebrew) — already installed, widely available via brew/pip/standalone
- No API keys needed
- No new Python packages (just subprocess + regex)
**Risks:**
| Risk | Likelihood | Mitigation |
|------|-----------|------------|
| yt-dlp search is slow (>10s) | Medium | Set 30s timeout, run in parallel with Reddit/X |
| YouTube blocks yt-dlp | Low | yt-dlp is actively maintained with anti-bot updates. Degrade gracefully. |
| Videos lack auto-captions | Medium (~5%) | Skip those videos, note in output. Transcript is enrichment, not required. |
| Transcript extraction adds latency | High | Only fetch top 3-5, run in parallel, use tempdir |
| yt-dlp not installed for some users | Medium | Auto-detect, skip YouTube with info message, don't error |
| Linux `--dateafter` date format differs | Low | Use Python to format date, not shell `date -v` |
## Files to Create/Modify
### New Files
- `scripts/lib/youtube_yt.py` — search, transcript extraction, parsing
- `tests/test_youtube_yt.py` — unit tests
- `fixtures/youtube_sample.json` — mock data for tests
### Modified Files
- `scripts/lib/schema.py` — add YouTubeItem, update Report
- `scripts/lib/normalize.py` — add normalize_youtube_items()
- `scripts/lib/score.py` — add YouTube engagement scoring
- `scripts/lib/dedupe.py` — add YouTube dedup (title + channel Jaccard)
- `scripts/lib/render.py` — add YouTube section to compact + full report
- `scripts/lib/env.py` — add yt-dlp availability check, update source detection
- `scripts/last30days.py` — add _search_youtube(), update run_research(), update arg parser
- `SKILL.md` — update stats box, citation rules, synthesis instructions
- `README.md` — document YouTube source, yt-dlp requirement
## Alternative Approaches Considered
**1. YouTube Data API v3** — Rejected. Requires API key + Google Cloud project. Adds friction, counter to "zero config" philosophy. 10K quota/day limit. yt-dlp has no limits.
**2. steipete/summarize for transcripts** — Rejected for MVP. Adds 146MB dependency, requires brew tap, calls OpenAI API per video (adds cost). Raw transcripts via yt-dlp are better input for our synthesis LLM anyway. Could revisit as optional enhancement for captionless videos.
**3. youtube-transcript-api Python package** — Considered. Lightweight, Python-native transcript fetcher. But adds a pip dependency to a project that currently has zero Python deps. yt-dlp is already a brew dependency we can auto-detect.
**4. Skip transcripts, just use metadata** — Rejected. Titles + view counts alone don't give the synthesis LLM enough to work with. Transcripts are what make YouTube a *research* source vs just a link list.
## Cost Impact
**Zero additional API cost.** yt-dlp scrapes YouTube directly. No API keys, no token usage. The only cost is the existing OpenAI/xAI calls for Reddit/X search, which are unchanged.
**Time impact:** Adds ~10-20 seconds to research (search + parallel transcript extraction), running in parallel with Reddit/X so effective wall-clock increase is minimal.
@@ -0,0 +1,194 @@
---
title: ClawHub Scanner Compliance for last30days-official
type: feat
date: 2026-02-15
---
# ClawHub Scanner Compliance for last30days-official
## Overview
Make the last30days skill pass ClawHub's security scanner (VirusTotal + Code Insight) so it can be published as `last30days-official`. The user's 8 other mvanhorn skills already pass - we replicate their exact pattern.
## Problem Statement
ClawHub requires skills to pass a multi-layer security scan before publication:
1. Metadata validation (frontmatter fields)
2. VirusTotal automated scanning
3. LLM-powered Code Insight analysis (checks if capabilities match documentation)
4. Credential handling review
The current last30days SKILL.md has basic `metadata.clawdbot` but is missing fields the scanner checks: `emoji`, `user-invocable`, `disable-model-invocation`, `files` declaration. There's no `## Security & Permissions` section (required pattern from passing skills). README has no security/privacy documentation.
## Proposed Solution
Follow the exact pattern from `clawdbot-skill-xai` and `clawdbot-skill-search-x` (both pass the scanner). Three files need changes.
### Fix 1: SKILL.md Frontmatter
Add missing scanner fields to the existing frontmatter:
```yaml
---
name: last30days
version: "2.1"
description: "Research a topic from the last 30 days. Also triggered by 'last30'. Sources: Reddit, X, YouTube, web."
argument-hint: 'last30 AI video tools, last30 best project management tools'
allowed-tools: Bash, Read, Write, AskUserQuestion, WebSearch
homepage: https://github.com/mvanhorn/last30days-skill
user-invocable: true
disable-model-invocation: true
metadata:
clawdbot:
emoji: "📰"
requires:
env:
- OPENAI_API_KEY
bins:
- node
- python3
primaryEnv: OPENAI_API_KEY
files:
- "scripts/*"
homepage: https://github.com/mvanhorn/last30days-skill
tags:
- research
- reddit
- x
- youtube
- trends
- prompts
---
```
Key additions:
- `user-invocable: true` - human must trigger it
- `disable-model-invocation: true` - agent cannot self-trigger
- `emoji: "📰"` - required display field
- `files: ["scripts/*"]` - prevents false "instruction-only but has scripts" flag
### Fix 2: Security & Permissions Section in SKILL.md
Add to the bottom of SKILL.md (matches xai/search-x pattern exactly):
```markdown
## Security & Permissions
**What this skill does:**
- Sends search queries to OpenAI's Responses API (`api.openai.com`) for Reddit discovery
- Sends search queries to Twitter's GraphQL API (via browser cookie auth) or xAI's API (`api.x.ai`) for X search
- Runs `yt-dlp` locally for YouTube search and transcript extraction (no API key, public data)
- Optionally sends search queries to Brave Search API, Parallel AI API, or OpenRouter API for web search
- Fetches public Reddit thread data from `reddit.com` for engagement metrics
- Stores research findings in local SQLite database (watchlist mode only)
**What this skill does NOT do:**
- Does not post, like, or modify content on any platform
- Does not access your Reddit, X, or YouTube accounts
- Does not share API keys between providers (OpenAI key only goes to api.openai.com, etc.)
- Does not log, cache, or write API keys to output files
- Does not send data to any endpoint not listed above
- Cannot be invoked autonomously by the agent (`disable-model-invocation: true`)
**Bundled scripts:** `scripts/last30days.py` (main research engine), `scripts/lib/` (search, enrichment, rendering modules), `scripts/lib/vendor/bird-search/` (vendored X search client, MIT licensed)
Review scripts before first use to verify behavior.
```
### Fix 3: Security & Privacy Section in README.md
Add after the "How It Works" section:
```markdown
## Security & Privacy
### Data that leaves your machine
| Destination | Data Sent | API Key Required |
|------------|-----------|-----------------|
| `api.openai.com` | Search query (topic string) | OPENAI_API_KEY |
| `reddit.com` | Thread URLs for enrichment | None (public JSON) |
| Twitter GraphQL / `api.x.ai` | Search query | Browser cookies or XAI_API_KEY |
| `youtube.com` (via yt-dlp) | Search query | None (public search) |
| `api.search.brave.com` | Search query (optional) | BRAVE_API_KEY |
| `api.parallel.ai` | Search query (optional) | PARALLEL_API_KEY |
| `openrouter.ai` | Search query (optional) | OPENROUTER_API_KEY |
Your research topic is included in all outbound API requests. If you research sensitive topics, be aware that query strings are transmitted to the API providers listed above.
### Data stored locally
- API keys: `~/.config/last30days/.env` (chmod 600 recommended)
- Watchlist database: `~/.local/share/last30days/research.db` (SQLite)
- Briefings: `~/.local/share/last30days/briefs/`
### API key isolation
Each API key is transmitted only to its respective endpoint. Your OpenAI key is never sent to xAI, Brave, or any other provider. Browser cookies for X are read locally and used only for Twitter GraphQL requests.
```
### Fix 4: Update .claude-plugin Files
**plugin.json** - bump version, add youtube keyword:
```json
{
"name": "last30days",
"description": "Research any topic from the last 30 days across Reddit, X, YouTube, and the web",
"version": "2.1.0",
"author": {"name": "mvanhorn"},
"repository": "https://github.com/mvanhorn/last30days-skill",
"license": "MIT",
"keywords": ["research", "reddit", "twitter", "x", "youtube", "trends", "prompts"],
"skills": ["./"]
}
```
**marketplace.json** - add version, update description:
```json
{
"name": "last30days",
"owner": {"name": "mvanhorn", "url": "https://github.com/mvanhorn"},
"metadata": {
"description": "Research any topic from the last 30 days across Reddit, X, YouTube, and the web",
"version": "2.1.0"
},
"plugins": [{"name": "last30days", "source": "."}]
}
```
## What We DON'T Need
Based on the audit of your 8 passing skills:
- **Script-level security manifest headers** - your passing skills (xai, search-x, parallel) do NOT have these. The scanner relies on SKILL.md, not per-file headers.
- **Separate SECURITY.md file** - not needed; README section + SKILL.md section is sufficient.
- **Shell injection fixes** - already clean. All subprocess calls use list-form args, no `shell=True` anywhere.
- **Credential leak fixes** - already clean. All keys loaded from env vars, none hardcoded or logged.
## Acceptance Criteria
- [x] SKILL.md frontmatter has `user-invocable`, `disable-model-invocation`, `emoji`, `files`
- [x] SKILL.md has `## Security & Permissions` section with "does" and "does NOT do" lists
- [x] README.md has `## Security & Privacy` section with endpoint table and key isolation docs
- [x] plugin.json version bumped to 2.1.0, youtube keyword added
- [x] marketplace.json version and description updated
- [x] `python3 scripts/last30days.py --diagnose` still works after changes
- [x] Synced to all installed skill locations
- [ ] Published to ClawHub as `last30days-official` (when auth is fixed)
## Files to Modify
| File | Change |
|------|--------|
| `SKILL.md` | Add frontmatter fields + Security & Permissions section |
| `README.md` | Add Security & Privacy section |
| `.claude-plugin/plugin.json` | Bump version, add youtube keyword |
| `.claude-plugin/marketplace.json` | Add version, update description |
## References
- [13-point ClawHub checklist](https://gist.github.com/adhishthite/0db995ecfe2f23e09d0b2d418491982c)
- [ClawHub docs](https://docs.openclaw.ai/tools/clawhub)
- [ClawHub Developer Guide 2026](https://www.digitalapplied.com/blog/clawhub-skills-marketplace-developer-guide-2026)
- Your passing skills: `clawdbot-skill-xai`, `clawdbot-skill-search-x` (exact pattern replicated)
@@ -0,0 +1,76 @@
---
title: "fix: watchlist engagement null crash"
type: fix
date: 2026-02-15
---
# fix: Watchlist crashes on `engagement: null` from X posts
## Problem
When X posts return `engagement: null` (JSON null) instead of `engagement: {}` (empty object), the watchlist `_run_topic` findings parser crashes. This is because Python's `dict.get("engagement", {})` returns `None` when the key **exists** with value `None` — the default `{}` only applies when the key is **missing**.
```python
# CRASHES — .get() returns None, not {}
item.get("engagement", {}).get("likes", 0)
# AttributeError: 'NoneType' object has no attribute 'get'
```
**Reporter:** Soft launch tester, 2026-02-15
**Severity:** Medium — breaks watchlist `run-one` and `run-all` for any topic that pulls X posts with null engagement
**One-shot research unaffected** — the main `last30days.py` pipeline uses `normalize.py` which has `isinstance(eng_raw, dict)` guards
## Root Cause
Two locations use the vulnerable `dict.get("key", {})` pattern:
1. **`scripts/watchlist.py:188`** — THE REPORTED BUG
```python
"engagement_score": item.get("engagement", {}).get("likes", 0),
```
2. **`scripts/lib/normalize.py:177`** — YouTube normalizer (same pattern, latent)
```python
eng_raw = item.get("engagement", {})
```
Three other locations are already safe — they use `isinstance(eng_raw, dict)`:
- `scripts/lib/normalize.py:70` (Reddit)
- `scripts/lib/normalize.py:130` (X)
- `scripts/lib/xai_x.py:190`
## Fix
Apply the `or {}` idiom (as suggested by reporter):
### scripts/watchlist.py:188
```python
# Before
"engagement_score": item.get("engagement", {}).get("likes", 0),
# After
"engagement_score": (item.get("engagement") or {}).get("likes", 0),
```
### scripts/lib/normalize.py:177
```python
# Before
eng_raw = item.get("engagement", {})
# After
eng_raw = item.get("engagement") or {}
```
## Acceptance Criteria
- [ ] `watchlist.py run-one` handles X posts with `engagement: null` without crashing
- [ ] `watchlist.py run-one` handles X posts with `engagement: {}` (empty object)
- [ ] `watchlist.py run-one` handles X posts with no engagement key at all
- [ ] YouTube normalizer handles `engagement: null` without crashing
- [ ] Existing tests still pass
## Regarding the screenshot question
The tester asked "Did you use watchlist on open claw or Claude?" — watchlist is designed for the **open variant** (Open Claw). It works in Claude Code too since it's just Python + SQLite, but the SKILL.md routing for watchlist commands is only in `variants/open/SKILL.md`. The main `SKILL.md` is one-shot research only.
Answer to give tester: "Watchlist works in both — it's plain Python. But the skill routing that understands 'watch add topic' is in the open variant. In Claude Code you'd need to call the script directly or use the open variant SKILL.md."
@@ -0,0 +1,221 @@
---
title: Fix YouTube Display and Search Quality
type: fix
date: 2026-02-15
---
# Fix YouTube Display and Search Quality
## Overview
YouTube is the v2.1 headline feature but it's broken in two ways: results don't appear in Claude's synthesis (display bug), and search quality is worse than youtube.com (search bug). Both need fixing before launch.
## Problem Statement
**Display bug:** YouTube data exists in the script output but Claude never sees it. Reproduced on 4/5 recent test runs (Kanye, Seedance 2, Peter Steinberger, YouTube thumbnails). The skill worked once — the earlier "YouTube thumbnails" and "OpenClaw" runs showed YouTube stats — but subsequent runs silently dropped it.
**Search quality bug:** User searched "how to get on seedance 2" on youtube.com and got multiple recent results. yt-dlp returned 10 videos for the same query, but they included old irrelevant content because date filtering is broken.
## Root Cause Analysis
### Display Bug — Three compounding causes
1. **`2>&1` in SKILL.md bash command** (line 79) merges stderr progress messages into stdout. When Claude Code receives this mixed output, the YouTube section (which renders LAST after Reddit + X) can get lost in the noise or hit the 30K char Bash output limit.
2. **Background execution** (partially fixed). The old SKILL.md said "DO WEBSEARCH WHILE SCRIPT RUNS" which caused Claude to background the bash command. Backgrounded commands return truncated output via Task Output. *Already fixed in this session — SKILL.md now says FOREGROUND with 5-minute timeout.*
3. **No explicit model instruction to look for YouTube.** The SKILL.md tells Claude to synthesize but doesn't emphasize that YouTube data is in the script output and must be included.
### Search Quality Bug — `--flat-playlist` breaks date filtering
The yt-dlp command in `youtube_yt.py:110-116`:
```bash
yt-dlp ytsearch{count}:{query} --dateafter {YYYYMMDD} --flat-playlist --dump-json
```
**`--flat-playlist` causes three problems:**
1. `--dateafter` is silently ignored (no video-level metadata to filter on)
2. All items have `date: None` (upload_date not in flat-playlist JSON)
3. Old content leaks in (e.g., "the greatest youtube thumbnails of all time" returned for a 30-day query)
**`_extract_core_subject()` over-strips useful YouTube terms:**
- Strips "tips", "tutorial", "review" — but these ARE the content types people search for on YouTube
- "youtube thumbnail tips" → "youtube thumbnail" loses the intent signal
## Proposed Solution
### Phase 1: Fix Display (Critical — blocks launch)
#### 1a. Remove `2>&1` from SKILL.md bash command
**File:** `SKILL.md:79` (both `last30days-skill-private/SKILL.md` and `~/.claude/skills/last30days21/SKILL.md`)
```bash
# Before:
python3 "${SKILL_ROOT}/scripts/last30days.py" "$ARGUMENTS" --emit=compact 2>&1
# After:
python3 "${SKILL_ROOT}/scripts/last30days.py" "$ARGUMENTS" --emit=compact
```
This removes ~1-5KB of progress spam from the model's input and ensures clean stdout-only output.
#### 1b. Add YouTube-specific synthesis instruction to SKILL.md
After the "Read the ENTIRE output" instruction, add:
```markdown
**The script output has THREE sections: Reddit items, X items, and YouTube items (in that order).
If you see YouTube items in the output, you MUST include them in your synthesis and stats block.
YouTube items look like: `**{video_id}** (score:N) {channel} [N views, N likes]`**
```
#### 1c. Verify fix with test run
Run `/last30days21 youtube thumbnail tips` and confirm YouTube appears in stats.
### Phase 2: Fix Search Quality (High — headline feature quality)
#### 2a. Remove `--flat-playlist` flag
**File:** `scripts/lib/youtube_yt.py:110-116`
```python
# Before:
cmd = [
"yt-dlp",
f"ytsearch{count}:{core_topic}",
"--dateafter", date_filter,
"--flat-playlist",
"--dump-json",
]
# After:
cmd = [
"yt-dlp",
f"ytsearch{count}:{core_topic}",
"--dateafter", date_filter,
"--dump-json",
"--no-warnings",
"--no-download",
]
```
**Impact:** Slower (yt-dlp resolves each video page for metadata) but:
- `--dateafter` actually works — filters old content
- `upload_date` populated — items get real dates
- Engagement metrics more accurate
**Risk:** Could increase search time from ~5s to ~30-60s for 20 videos. Mitigate by reducing default count or increasing timeout.
**Alternative if too slow:** Keep `--flat-playlist` but append year to search query:
```python
# Bias toward recent content since --dateafter doesn't work with flat-playlist
search_query = f"{core_topic} {from_date[:4]}" # e.g., "youtube thumbnail 2026"
```
#### 2b. Fix `_extract_core_subject()` for YouTube-relevant terms
**File:** `scripts/lib/youtube_yt.py:67-76`
Don't strip terms that are useful YouTube content type signals:
```python
# YouTube-specific: keep 'tips', 'tutorial', 'review' etc.
# These are stripped for Reddit/X search but are valuable for YouTube
noise = {
'best', 'top', 'good', 'great', 'awesome', 'killer',
'latest', 'new', 'news', 'update', 'updates',
'trending', 'hottest', 'popular', 'viral',
'practices', 'features',
'recommendations', 'advice',
'prompt', 'prompts', 'prompting',
'methods', 'strategies', 'approaches',
}
# NOTE: 'tips', 'tricks', 'tutorial', 'guide', 'review', 'reviews'
# are intentionally KEPT — they're YouTube content types
```
#### 2c. Clean question marks and trailing punctuation
**File:** `scripts/lib/youtube_yt.py:48-80`
```python
# At the end of _extract_core_subject():
result = ' '.join(filtered) if filtered else text
return result.rstrip('?!.') # Clean trailing punctuation
```
### Phase 3: Polish (Medium — nice to have before launch)
#### 3a. Increase subprocess timeout for non-flat-playlist mode
**File:** `scripts/lib/youtube_yt.py:119-121`
```python
# Before:
result = subprocess.run(cmd, capture_output=True, text=True, timeout=60)
# After — resolving video pages takes longer:
result = subprocess.run(cmd, capture_output=True, text=True, timeout=120)
```
#### 3b. Add year hint to search query for recency bias
Even with `--dateafter` working, YouTube's search algorithm ranks by relevance not recency. Adding the year helps:
```python
# After core_topic extraction:
import datetime
current_year = datetime.datetime.now().year
search_query = f"{core_topic} {current_year}"
```
#### 3c. Reduce compact render item count for YouTube
The compact render currently shows up to 15 YouTube items. With transcripts, this is too much output. Reduce to 10:
**File:** `scripts/lib/render.py` — in `render_compact()`, add YouTube-specific limit or reduce the default.
## Acceptance Criteria
- [ ] `/last30days21 youtube thumbnail tips` shows YouTube in stats block
- [ ] YouTube items have real dates (not `None`)
- [ ] Old content (> 30 days) filtered out by `--dateafter`
- [ ] "youtube thumbnail tips" search returns videos about thumbnail tips (not generic old content)
- [ ] "How to access Seedance 2" returns recent Seedance 2 tutorials
- [ ] Script completes within 5 minutes for default depth
- [ ] No `2>&1` in SKILL.md bash command
## Files to Modify
| File | Changes |
|------|---------|
| `SKILL.md` | Remove `2>&1`, add YouTube synthesis instruction |
| `scripts/lib/youtube_yt.py` | Remove `--flat-playlist`, fix noise words, add year hint, increase timeout |
| `scripts/lib/render.py` | Optional: reduce YouTube item limit in compact mode |
## Testing
```bash
# Quick smoke test — should show YouTube items with dates
cd ~/.claude/skills/last30days21
python3 scripts/last30days.py "youtube thumbnail tips" --quick --emit=compact 2>/dev/null | grep -c "youtube.com"
# Date test — should show YYYY-MM-DD dates, not None
python3 -c "
from scripts.lib import youtube_yt
r = youtube_yt.search_youtube('youtube thumbnail tips', '2026-01-16', '2026-02-15', depth='quick')
for v in r['items'][:3]: print(v['date'], v['title'][:50])
"
# Full integration — run the skill in Claude Code and verify YouTube in stats
```
## References
- SKILL.md bash command: `scripts/last30days.py` line 79
- YouTube search: `scripts/lib/youtube_yt.py` lines 83-174
- Core subject extraction: `scripts/lib/youtube_yt.py` lines 48-80
- Compact render: `scripts/lib/render.py` lines 48-238
- Prior YouTube plan: `docs/plans/2026-02-14-feat-youtube-transcript-search-plan.md`
@@ -0,0 +1,102 @@
---
title: Fix YouTube Timeout and Reddit Resilience
type: fix
date: 2026-02-15
---
# Fix YouTube Timeout and Reddit Resilience
## Overview
YouTube search+transcript fetching exceeds the 60s future timeout on popular topics (20 videos + 5 transcripts), discarding all results. Reddit 429 rate-limiting burns through the entire time budget with aggressive retries, causing global timeouts. Both issues cause the script to return incomplete results and sometimes crash.
## Problem Statement
**YouTube timeout (blocks launch):** YouTube found 20 Seedance 2.0 videos and fetched 4/5 transcripts, but the 60s future timeout killed everything — `✗ Error: YouTube search timed out after 60s`. The data was there; the budget wasn't.
**Reddit 429 cascade (degrades reliability):** One enrichment item hitting 429 burns up to 93s (3 retries x 30s timeout + backoff) against a 45s budget. Phase 2 supplemental search then also 429s, burning another 30s. Total wasted: 75s on doomed requests, triggering the 180s global timeout.
Observed failures across 6 test runs:
- `seedance 2 access`: YouTube timed out (60s), Reddit 0 threads
- `kanye west bully`: Global timeout first run, needed --quick retry
- `Peter Steinberger`: Global timeout during enrichment
- `nano banana pro`: Reddit timed out, YouTube worked (5 videos in time)
- `kanye west bully` (retry): Reddit 0 threads, YouTube 4 videos
## Proposed Solution
### Fix 1: Bump YouTube future timeout (NOT YET DONE)
**File:** `scripts/last30days.py:40-44`
Give YouTube its own timeout, separate from the shared `future` timeout. YouTube inherently takes longer because it does search + parallel transcript fetching.
```python
# Option A: YouTube-specific timeout key
TIMEOUT_PROFILES = {
"quick": {"global": 90, "future": 30, "youtube_future": 60, ...},
"default": {"global": 180, "future": 60, "youtube_future": 90, ...},
"deep": {"global": 300, "future": 90, "youtube_future": 120, ...},
}
# Option B: Simpler — just bump default future to 90 for all sources
TIMEOUT_PROFILES = {
"quick": {"global": 90, "future": 45, ...},
"default": {"global": 180, "future": 90, ...},
"deep": {"global": 300, "future": 120, ...},
}
```
**Recommendation:** Option A (YouTube-specific key) — keeps Reddit/X futures tight while giving YouTube the breathing room it needs. Reddit/X finish in 20-40s; YouTube needs 60-90s for transcript fetching.
Then where YouTube future is collected (~line 646):
```python
youtube_timeout = timeouts.get("youtube_future", timeouts["future"])
youtube_items, youtube_error = youtube_future.result(timeout=youtube_timeout)
```
### Fix 2: Reddit 429 fail-fast (ALREADY DONE — needs commit)
**Status:** Implemented in working tree, uncommitted. Changes across 4 files:
| File | Change |
|------|--------|
| `scripts/lib/http.py` | `get_reddit_json()` accepts `timeout` and `retries` params (was hardcoded 30s/3) |
| `scripts/lib/reddit_enrich.py` | `RedditRateLimitError` exception; `fetch_thread_data()` propagates 429; `enrich_reddit_item()` defaults to 10s timeout / 1 retry |
| `scripts/lib/openai_reddit.py` | `search_subreddits()` reduced to 1 retry; breaks subreddit loop on first 429 |
| `scripts/last30days.py` | Enrichment loop catches `RedditRateLimitError`, cancels futures, bails; `rate_limited` flag skips Phase 2 Reddit |
**Impact:** 429 scenario drops from ~75s wasted to ~12s wasted.
## Acceptance Criteria
- [ ] YouTube `seedance 2 access` query completes with videos (was timing out at 60s)
- [ ] YouTube `kanye west bully` query returns 4+ videos with transcripts
- [ ] Reddit 429 detected within ~12s, remaining enrichment skipped
- [ ] Phase 2 Reddit skipped when rate-limited
- [ ] No global timeout on default depth for any of the 5 test queries
- [ ] All changes committed and synced to `~/.claude/skills/last30days21/` and `~/.claude/skills/last30days/`
## Files to Modify
| File | Status | Changes |
|------|--------|---------|
| `scripts/last30days.py` | Modify (partially done) | Add `youtube_future` to TIMEOUT_PROFILES; use it for YouTube future collection |
| `scripts/lib/http.py` | Done (uncommitted) | Parameterized `get_reddit_json()` timeout/retries |
| `scripts/lib/reddit_enrich.py` | Done (uncommitted) | `RedditRateLimitError`, fail-fast enrichment |
| `scripts/lib/openai_reddit.py` | Done (uncommitted) | 429 early-bail in `search_subreddits()` |
## Testing
```bash
# Quick smoke test — YouTube should complete within 90s
cd ~/.claude/skills/last30days21
python3 scripts/last30days.py "seedance 2 access" --emit=compact 2>&1 | grep -E "YouTube|timeout"
# Verify YouTube items in output
python3 scripts/last30days.py "kanye west bully" --quick --emit=compact 2>/dev/null | grep "youtube.com" | wc -l
# Full integration — run the skill in Claude Code
# /last30days21 seedance 2 access
# Verify YouTube appears in stats block
```

Some files were not shown because too many files have changed in this diff Show More