feat: v3.0.0 - intelligent search, GitHub person/project mode, ELI5, 13+ sources

v3 rewrites the search engine from the ground up:

- Intelligent pre-research: resolves X handles, GitHub repos, subreddits,
  TikTok hashtags, and YouTube channels before searching
- GitHub person-mode: PR velocity, top repos by stars, release notes
- GitHub project-mode: live star counts, README, releases, top issues
- ELI5 mode: plain language synthesis, no jargon
- 13+ sources: Reddit, X, YouTube, TikTok, Instagram, HN, Polymarket,
  GitHub, Threads, Pinterest, Perplexity, Bluesky, Web
- Free Reddit comments via public JSON (no API key needed)
- Fun judge v2: humor scoring baked into narrative
- Cookie consent before browser scanning
- 10,000 free ScrapeCreators calls
- 1,012 tests

Thank you to the community contributors whose issues and PRs shaped v3:
@uppinote20 (#143), @zerone0x (#134, #136), @thinkun (#116),
@thomasmktong (#124), @fanispoulinakisai-boop (#100), @pejmanjohn (#78),
@zl190 (#115), @hnshah (#84, #85, #86)

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

scripts/briefing.py

@@ -14,7 +14,7 @@ Usage:
 import argparse
 import json
 import sys
-from datetime import datetime, timedelta
+from datetime import datetime, timedelta, timezone
 from pathlib import Path
 
 SCRIPT_DIR = Path(__file__).parent.resolve()
@@ -25,6 +25,10 @@ import store
 BRIEFS_DIR = Path.home() / ".local" / "share" / "last30days" / "briefs"
 
 
+def _parse_sqlite_utc_timestamp(value: str) -> datetime:
+    return datetime.strptime(value, "%Y-%m-%d %H:%M:%S").replace(tzinfo=timezone.utc)
+
+
 def generate_daily(since: str = None) -> dict:
     """Generate daily briefing data.
 
@@ -63,8 +67,8 @@ def generate_daily(since: str = None) -> dict:
         hours_ago = None
         if last_run:
             try:
-                run_dt = datetime.fromisoformat(last_run.replace("Z", "+00:00"))
-                hours_ago = (datetime.now() - run_dt.replace(tzinfo=None)).total_seconds() / 3600
+                run_dt = _parse_sqlite_utc_timestamp(last_run)
+                hours_ago = (datetime.now(timezone.utc) - run_dt).total_seconds() / 3600
                 stale = hours_ago > 36  # Stale if > 36 hours
             except (ValueError, TypeError):
                 stale = True