AIHOT — open-source framework for building automated industry-news sites
Full-stack framework (Node 24 + PostgreSQL) that ingests RSS/webpages/X/WeChat, dedupes, double-scores, clusters with embeddings into hot topics, and publishes daily/weekly/monthly reports; 4,000+ GitHub stars within ~42 hours of release.
Why it matters
A production-grade news-station framework, not a scraper — event heat scoring, a four-class relation evaluator, SelectBench evaluation tooling, and paid-call budget tracking, so swapping sources yields an industry news site for any vertical.
What you could build with it
A media startup or indie hacker could fork it into a vertical news station (legal, finance, climate) by swapping the source list and taxonomy; a research team could use its SelectBench evaluators to benchmark their own news-selection pipelines.
Does it hold up?
Evidence-based: a third-party audit built it cleanly, ran 16/16 web tests green, and 5/5 sampled claims matched sources; caveats — two hardcoded category strings break custom taxonomies. Usable as a framework, rough edges in vertical customization.
Built with AIHOT
- AIHOT Hit 4,000 Stars in Under Two Days. I Tried Turning It Into LawHOT.linkedin · Independent audit: 41 backend test files, CI green, 5/5 sampled claims matched original sources; found two hardcoded category strings and an admin-UI default that defeats the safe full-text setting.
- AI HOT live siteofficial site · The author's live production instance — daily AI reports with public REST API, RSS, and MCP endpoints.
- xingfanxia/newsroomgithub · 3 ★ · Daily AI column app that integrates AIHOT's public API as a pre-curated, hourly source pool.
Learn more
First spotted on github: source.
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