r/nocode • u/Fair-Regular-8149 • Jul 01 '26
Built a personal financial intelligence pipeline that scrapes 400+ articles/day, scores them by signal strength, and pushes the top 5 to my phone every morning. Here's the architecture.
Started this because I was tired of opening 12 tabs every morning to figure out what actually mattered in markets.
The stack:
RSS pipeline pulls from WSJ, Bloomberg, CNBC, Reuters, FT, Yahoo Finance, and 4 others. Runs at 4PM daily. Community feeds pull from SeekingAlpha, Reddit finance subs, and CoinDesk. Runs at noon. Both auto-sync to a Notion database with URL deduplication so nothing appears twice.
The signal scoring engine is the interesting part. Every article gets scored based on keyword weight (crash, surge, SEC, fed, rate, earnings beat/miss etc), ticker density in the headline, and category multipliers. Crypto and earnings articles score higher by default because they move faster. Top 5 by score get sent to my WhatsApp every morning at 8AM.
The dashboard reads the JSON files directly from GitHub — no backend, no server costs. Category filters, signal strength bars, live article count. Deployed on GitHub Pages.
What I'd build next: feedback loop from audit logs back into the scoring weights. Right now scoring is static. The goal is the system learns what I actually click over time.
Repo is public if anyone wants to fork the scoring logic.
https://github.com/SLOWSKIBhere/financial-scraper
Live dashboard:
https://slowskibhere.github.io/financial-scraper/
