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metadata 
title: News Digest
emoji: 📰
colorFrom: blue
colorTo: purple
sdk: docker
pinned: false

OneNews

⚠️ Experimental / Educational project — built to learn how scrapers and AI work from scratch. Not production-ready. Not intended to be.

Your daily news, scraped, scored, sorted, and served in tabs. No AI slop, no crypto bros, no "you won't believe what happens next."

OneNews pulls from ~40 RSS feeds across 9 categories — Geopolitical, World Health, Tech, Cybersecurity, Funny/Weird, Gaming, Movies, Arab World, and Tunisia — runs them through a trust/recency/coverage scoring engine, and displays everything in a clean tabbed web UI. All written from scratch to understand every moving part.

What makes it special?

  • Built to learn. Everything is hand-rolled — no black boxes, no copy-paste agency code.
  • Zero ads, zero trackers. Just headlines, summaries, and a relevance score.
  • Keyword-based topic detection with regex patterns (not an LLM hallucinating categories).
  • Source-domain fallback — when keywords fail, the domain decides (onion.com → Funny/Weird, variety.com → Movies, etc.)
  • Trust scoring based on source rep, article length, factual language, clickbait penalties, and opinion markers.
  • Date-grouped UI with daily headers. News doesn't care about your feed order.
  • Scoring model you can tune — every weight lives in one config file.

Quick Start 

python webapp.py

Opens at http://localhost:5050. First load takes ~5 min while 40 RSS feeds get fetched and scored. Go make tea.

Stack

Layer Tech
Backend Flask
Scraping feedparser + requests + trafilatura
NLP regex patterns (no transformers — runs on a toaster)
Scoring weighted: pop 0.20 × trust 0.35 × coverage 0.30 × recency 0.15
UI vanilla HTML/CSS/JS, zero frameworks

Categories

Geopolitical | World Health | Tech | Cybersecurity | Funny/Weird | Gaming | Movies | Arab World | Tunisia

What I learned building this

  • How RSS feeds actually work under the hood (you'd be surprised how many are broken)
  • Trafilatura for article extraction (beats rolling your own readability)
  • The surprisingly hard problem of classifying news with just regex
  • Why domain-level fallbacks matter when keyword matching comes up empty
  • That Flask is perfectly fine for small stuff despite what Twitter says
  • Scoring is 90% tuning weights and 10% math

FAQ

Q: Will it scale?
A: It scales to your sofa. It's a single Flask process running on whatever laptop you own.

Q: Is this production-ready?
A: No. Read the first sentence of this README again.

Q: Night mode?
A: The UI is already dark. You're welcome.

Q: Why 4 AM Tunisian time for refresh?
A: That's when the coffee kicks in.

Q: Can I contribute?
A: This is a learning project. Fork it and make your own.