Aggregates real-time AI/tech news from multiple sources (HackerNews, Dev.to, Reddit, ArXiv, GitHub Trending, GeekNews, Lobsters) with 1-hour caching. Reads from Supabase cache when available, falls back to local file cache.

Returns top N most relevant items for AI engineers, scored by source reputation (HN/Reddit > ArXiv > others) plus item score. Each item includes a one-liner 'why it matters' and optional try_url.

Fetches a GitHub repo's metadata (stars, description, language, topics) and extracts install commands and a quickstart code block from its README.

Fetches an ArXiv paper's title, authors, abstract, and submission date. Searches Papers With Code and GitHub for associated code repositories.

Search today's cached news by keyword query. Matches against title and summary, scores by word match count × item score. Returns top results.

Queries Supabase for all cache rows created after a given ISO timestamp. Returns deduplicated news items sorted newest first. Requires Supabase connection.

Suggests blog topic ideas based on trending news, tailored per project (potenlab, treesoop, hanguljobs) and filtered against already-used topics.

Check the current state of the news cache — Supabase connection status, whether local/Supabase cache exists, how old it is, and how many items per source.