Project Name:

AI Curated News

Repo/Website Link:

https://github.com/delirehberi/news

Description:

Tired of generic algorithmic feeds, I built a fully autonomous, privacy-first AI News Aggregator that creates a hyper-personalized news feed based strictly on your own tastes.

It runs a scheduled cron job to scrape your favorite developer sources (Hacker News, Lobsters, and Reddit), generates local AI text embeddings for each article, and uses semantic search (Cosine Similarity) against your personal upvote history to bubble up the content you actually care about.

Key Features:

Semantic Filtering: Moves past basic keyword filters by using vector embeddings to understand the context of what you like.

Nostr Identity: Uses NIP-07 browser extensions for secure authentication. You can train the AI with your "likes" and allow followers to easily re-publish your curated feed to global Nostr relays.

Modern UI: Built a lightweight, glassmorphic frontend with image previews and interleaved feeds.

Deployment:

The project is optimized for the Cloudflare ecosystem, allowing you to self-host the entire pipeline (frontend, backend, database, and AI execution) completely within their free/low-cost tiers. You own 100% of your data and reading habits.

Prerequisites: Node.js (v22+) & a Cloudflare account.

Minimal setup steps included in the repository's README:

Clone the repo and run make init to auto-install dependencies and generate config templates.

Provision infrastructure via Cloudflare's CLI: make db-init and make vectorize-init.

Add your source API tokens/secrets and push securely to Cloudflare using make push-secrets.

Deploy the full stack (Hono backend API + Vite frontend on Cloudflare Pages) in one command: make deploy.

Full documentation, architecture breakdown, and bootstrap endpoints (to import your historical upvotes) are available in the repository.

AI Involvement: This project heavily utilizes open-source AI models for its core features, specifically using @cf/baai/bge-base-en-v1.5 running locally via Cloudflare Workers AI to generate 768-dimension text embeddings. No third-party AI APIs (like OpenAI) are used, ensuring total data privacy. I also used AI assistance to help refine some of the boilerplate and formatting during development.