geostorm-ai

Monitor how AI systems perceive and recommend your software across GPT, Claude, Gemini, and more.

14
0
100% credibility
Found Mar 01, 2026 at 14 stars -- GitGems finds repos before they trend. Get early access to the next one.
Sign Up Free
AI Analysis
Python
AI Summary

GeoStorm is an open-source, self-hosted dashboard that queries AI models to track how they recommend your software and alerts you to perception changes.

How It Works

1
🔍 Discover GeoStorm

You hear about GeoStorm and want to know what AI chatbots say about your software when people ask for recommendations.

2
🚀 Launch instantly

Run one simple command to start your personal monitoring dashboard right on your computer—no setup hassle.

3
👀 Explore the demo

Play with sample data showing 90 days of AI opinions on a demo project to see alerts and charts in action.

4
🔑 Connect AI access

Add your free AI service key so GeoStorm can ask real questions to models like GPT and Claude.

5
📝 Set up your project

Name your software, list competitors, and add search phrases people use to find tools like yours.

6
▶️ Start monitoring

Click to run your first scan—GeoStorm queries AIs and analyzes recommendations automatically.

📊 See your AI reputation

Watch live charts of your visibility, get alerts on drops or new rivals, and stay ahead of AI trends.

Sign up to see the full architecture

5 more

Sign Up Free

Star Growth

See how this repo grew from 14 to 14 stars Sign Up Free
Repurpose This Repo

Repurpose is a Pro feature

Generate ready-to-use prompts for X threads, LinkedIn posts, blog posts, YouTube scripts, and more -- with full repo context baked in.

Unlock Repurpose
AI-Generated Review

What is geostorm?

GeoStorm lets you monitor how AI models like GPT, Claude, and Gemini perceive and recommend your software—tracking if you're still top in "best Python web framework" queries or if competitors are emerging. Fire up a single Docker container (`docker run -d -p 8080:8080 ghcr.io/geostorm-ai/geostorm`), hit localhost:8080, and explore demo data instantly showing charts, alerts, and trends. Built in Python with a FastAPI backend and Astro frontend, it queries models via OpenRouter on a schedule, detects changes like recommendation share drops, and sends Slack/email alerts.

Why is it gaining traction?

Unlike Grafana for GitHub actions or manual "monitor github repository" scripts, GeoStorm handles prompt engineering, mention parsing, and scoring out-of-the-box—no cron jobs or agent drift. The hook: instant value from 90-day synthetic data, plus MCP tools for querying via Claude Code ("show alerts for my project"). Costs pennies per run (~$1-2/month daily), with web search grounding for fresh results.

Who should use this?

Open-source maintainers watching AI-driven discovery for libraries (e.g., FastAPI vs Litestar), indie devs monitoring github copilot usage shifts, or PMs tracking "how to monitor github workflows" alternatives. Ideal if you're tired of guessing why downloads dipped—spot if Claude now pushes geostorm cast rivals first.

Verdict

Grab it for early AI perception tracking; Docker makes it dead simple despite 13 stars and 1.0% credibility score. Maturity shows in docs and demo, but wait for auth/exports before production—heavy reliance on OpenRouter limits flexibility.

(198 words)

Sign up to read the full AI review Sign Up Free

Similar repos coming soon.