It scans 17+ data sources every 2 hours — Hacker News, GitHub Trending, Reddit, ProductHunt, npm, hiring boards, funding filings, Wikipedia, StackOverflow, VC blogs, DOE research, and more. Every signal gets scored 0-100 across 8 validation dimensions.

The idea: if something is trending on GitHub AND companies are hiring for it AND funding is flowing into that sector AND npm downloads are growing — that's not noise, that's signal.

Right now there are ~120 qualified signals on the board. The scoring engine cross-validates everything — a signal needs to show up in multiple independent data sources before it scores high.

Stack: Python scoring engine, Flask frontend, single Vultr VPS. Data pipeline runs every 2h via cron.

Free tier shows all signals with scores. Pro ($29/mo) unlocks per-signal breakdowns, intelligence reports, and email alerts.

Would love feedback on the scoring methodology and what data sources you'd want added.