How I Built a Fully Automated AI Tools Radar on a $35 Raspberry Pi

The Problem: Too Much AI Noise

Every day, hundreds of new AI tools launch on GitHub. Hacker News threads explode with hot takes. Reddit communities debate the next breakthrough. Staying informed means hours of doom-scrolling.

What if an AI agent could do this for me — 24/7, on a $35 computer?

The Solution: AI Tools Radar

I built AI Tools Radar — a fully automated intelligence system that scrapes GitHub Trending, Hacker News, and Reddit, then curates everything into a clean weekly report.

Tech Stack

• Python stdlib only — no pip, no Docker, no dependencies
• Raspberry Pi 4 — 4GB RAM, ARM64, Debian
• GitHub Pages — free hosting
• PayPal.me — zero-integration payments

Architecture

Cron Job (Weekly, Monday 9AM)
    ↓
Python Scraper (stdlib only!)
    ↓
4 Data Sources (GitHub API, HN, Reddit, Dev.to)
    ↓
HTML Report Generator
    ↓
GitHub Pages Deployment

Data Sources

• 🔥 GitHub Trending — repos with 100+ stars
• 📰 Hacker News — AI/automation discussions
• 🤖 Reddit r/MachineLearning — community picks
• 📝 Dev.to — trending articles

Why This Matters

1. Zero ongoing cost — 2¢/day in electricity
2. 100% automated — no human curators, no editorial bias
3. Always fresh — scraped hours before delivery
4. Actionable — filtered for signal, not noise

Try It

👉 Subscribe to AI Tools Radar — $9/month

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What automated tools have you built with AI? Drop a comment below!