Two related fixes that surface when running last30days with multi-keyword
themed queries (e.g. "claude, personal agents, agentic infra"). Both bugs
caused entire sources to silently return zero items.
YouTube (ScrapeCreators)
SC's /v1/youtube/search rejects ?keyword= with HTTP 400:
{"error":"missing_parameter","message":"You must provide a query"}
The canonical SC parameter for that endpoint is `query`. Other SC
endpoints we use (Reddit, TikTok, Instagram) happened to work because
they use their own per-endpoint parameter names — YouTube was the lone
outlier.
Hacker News (Algolia)
Multi-keyword theme queries returned zero hits across every theme.
Algolia treats query= as strict AND across tokens, so a 4-5 word query
like "claude, personal agents, agentic infra" matches no stories.
Three changes in hackernews.py:
1. Hoist comma/hyphen flattening into _flatten_query_for_algolia() so
search_hackernews and _title_matches_query normalize the query the
same way — addresses Greptile P2 #2 about the two callsites needing
to stay in sync.
2. Pass `optionalWords` for all-but-the-first token so Algolia ranks
by token-overlap instead of requiring every token.
3. Relax _title_matches_query from all-words to any-word, *but match
on word boundaries (\b<word>\b) rather than naive substring* —
addresses Greptile P2 #1, which flagged that the previous any-word
relaxation would let "ai" falsely match "email" or "rail".
Token-overlap relevance scoring at parse time already demotes weak
matches, so word-boundary any-word matching is safe.
Tests: added coverage for no-token-in-title rejection, word-boundary vs
substring, and hyphen/comma flattening alignment between the search
parameter and the post-filter.
Co-authored-by: Trevin Chow <trevin@trevinchow.com>
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>
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>
Brad Ferguson