I Built an Autonomous GitHub Trending Tracker with Star Velocity & MCP Topic Radars 🚀

Aman — Tue, 08 Sep 2026 06:10:59 +0000

Hey DEV Community! 👋

Today I'm excited to open-source GitTrends Intelligence — an autonomous engine and interactive web dashboard designed to track breakout GitHub projects, viral star velocities, and cutting-edge open-source tools.

🧐 Why I Built This

GitHub's native trending page is great, but it has significant limitations for developers trying to catch breakout tech early:

No Star Velocity: You can't see the exact velocity (+stars gained in the last 24h) directly on an interactive interface.
Missing AI & MCP Taxonomies: There are no dedicated topic filters for the fastest-growing ecosystems right now — like Model Context Protocol (#MCP), Coding Agents, Local LLMs, and AI Video Generation.

I wanted a zero-maintenance, automated system that gives developers real-time intelligence on what is truly going viral across GitHub.

🛠️ Tech Stack & How It Works

I built the entire project with zero external server costs using a fully automated architecture:

1. Python Intelligence Engine (`engine.py`)

Scrapes trending repos across 6 major ecosystems (Overall, Python, JavaScript, TypeScript, Go, Rust).
Uses connection pooling, rotating headers, and fallback heuristics to extract repo metrics safely.
Classifies projects using description semantic scanning for tags like #MCP, #Coding-Agents, #AI-Video, and #Security.

2. Zero-Maintenance Cloud Automation

Scheduled GitHub Actions runs automatically every 12 hours (at 00:00 UTC and 12:00 UTC).
Automatically executes the engine in GitHub's cloud, generates daily historical archives (YYYY-MM/), generates an RSS 2.0 feed (feed.xml), and commits updates autonomously.

3. Lightweight Client-Side Web Dashboard

Pure Vanilla HTML, CSS & JavaScript — no heavy frameworks or complicated build steps.
Features real-time search, category tabs, star velocity sorting, table vs card view modes, and 1-click clone command copy.
Deployed directly on GitHub Pages with automatic cache-busting.

🌐 Live Demo & Source Code

🚀 Live Interactive Dashboard: https://jastfan.github.io/github-trending/
⭐ GitHub Repository: https://github.com/jastfan/github-trending
📡 RSS 2.0 Feed: feed.xml

💬 Looking for Your Feedback!

Since this is an active open-source project, I'd love to hear from the community:

What additional language categories or data metrics would you like to see tracked?
If you find this helpful for discovering new open-source projects, consider dropping a ⭐ on GitHub!

Happy building! 💻

DEV Community: Aman