AI Feed Aggregator

A personalized AI news feed that pulls from multiple sources, filters by relevance, and scores articles based on configurable topics.

Sources

• arXiv — AI/ML papers (cs.AI, cs.LG, cs.CL, cs.CV)
• Reddit — r/MachineLearning, r/LocalLLaMA, r/EdgeComputing, r/MLOps
• Hacker News — top stories
• RSS — HuggingFace, TechCrunch AI, The Verge AI, NVIDIA, Google AI, Apple ML, Qualcomm AI
• Twitter/X — stub (optional, requires API key)

Local Setup

python -m venv venv
source venv/bin/activate
pip install -r requirements.txt
python app.py

App runs at http://localhost:8000. Hit the fetch button or POST /api/fetch to pull articles.

Development Workflow

main  ← production (auto-deploys to Railway)
 └── dev  ← development (work here)

1. Always work on dev:

   git checkout dev

2. Make changes, commit, and push to dev:

   git add <files>
   git commit -m "description of changes"
   git push origin dev

3. Test locally — run python app.py and verify everything works.

4. When ready to deploy, merge dev into main:

   git checkout main
   git merge dev
   git push origin main

   Railway auto-deploys on push to main.

5. Switch back to dev for the next change:

   git checkout dev

Deployment

Hosted on Railway. Every push to main triggers an automatic redeploy.

The SQLite database is ephemeral — it resets on each deploy. Articles are repopulated by triggering a fetch after deployment.

Configuration

Edit config.yaml to:

• Add/remove RSS feeds, subreddits, or arXiv categories
• Adjust fetch intervals per source
• Configure topic keywords and scoring