About This Project

What is this?

AI & Tech Weekly Digest is an autonomous, AI-powered weekly digest of the most important developments in artificial intelligence and technology. Every Sunday, our pipeline collects, analyzes, and publishes a comprehensive digest — no human editors required.

How it works

The digest is produced through a fully automated pipeline:

  1. Collection — We scrape high-quality sources including RSS feeds from major tech publications, HackerNews top stories, Reddit AI communities, ArXiv papers, and trending GitHub repositories.
  2. Deduplication — Articles covering the same story are merged using URL normalization and fuzzy title matching.
  3. AI Analysis — Google's Gemini AI models triage the top stories, write deep analysis with context and connections, and curate the best resources for further reading.
  4. Publication — The digest is automatically committed to our repository, triggering a build and deploy of this website.

Data Sources

We collect from the following sources every week:

  • TechCrunch, The Verge, Ars Technica
  • Google AI Blog, OpenAI Blog, Anthropic Blog
  • Hugging Face Blog, Simon Willison, Lilian Weng
  • HackerNews (top and best stories)
  • Reddit: r/MachineLearning, r/artificial, r/LocalLLaMA, r/technology, r/programming
  • ArXiv (cs.AI, cs.LG, cs.CL, cs.CV categories)
  • GitHub trending repositories (AI/ML topics)

Transparency

All analysis in this digest is generated using Google's Gemini AI models. Specifically, we currently use Gemini 3 Flash Preview for triage and resource curation, and Gemini 3 Pro Preview for the in-depth analysis writing. We believe in being transparent about AI-generated content.

Open Source

This entire project is open source. The pipeline code, website, and all generated content are available on GitHub. Contributions, feedback, and suggestions are welcome.

Live Deployment

The live site is deployed on Vercel at https://ai-tech-digest-flax.vercel.app.