akshayturtle

akshayturtle / ai-community-intelligence

Public

Open-source platform that monitors 25+ AI/tech data sources, processes signals through LLM-powered agents, and surfaces actionable market intelligence

ai ai-agents ai-agents-and-tools community-analytics fastapi
11
2
100% credibility
Found Mar 27, 2026 at 11 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

An open-source dashboard that monitors AI/tech communities across dozens of sources to deliver real-time market intelligence like traction scores, talent gaps, and startup opportunities.

How It Works

1
🔍 Discover the tool

You find this community intelligence dashboard online and get excited by the beautiful screenshots showing trends, opportunities, and job insights.

2
📥 Bring it home

Download the ready-to-use package to your computer – it's like getting a new app.

3
🔗 Connect the smart brain

Link it to a helpful AI service so it can understand conversations and spot patterns.

4
🚀 Start everything

Click to launch the background helpers that watch communities and gather fresh info automatically.

5
📊 Open your dashboard

Your personal web page lights up with colorful charts, live trends, and smart alerts – it feels magical!

6
⏳ Let it learn

Sit back as it scans discussions, jobs, and news every few hours to build deeper understanding.

✅ Unlock insights

Now you see hidden opportunities like market gaps, rising stars, and who's hiring – ready to make smart decisions.

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Star Growth

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AI-Generated Review

What is ai-community-intelligence?

This Python-based open-source platform scrapes 25+ AI/tech sources like Reddit, Hacker News, GitHub, ArXiv, job boards, and Product Hunt, then runs LLM-powered agents to detect traction scores, market gaps, competitive threats, and talent flows. It delivers a React dashboard with 14 real-time views—trending topics, gig board, product reviews, signals like narrative shifts—turning raw community noise into actionable intel. Solves the pain of manually tracking scattered signals across platforms for ai in the intelligence community.

Why is it gaining traction?

Stands out with 10 specialized LLM agents that cross-reference data for unfakeable insights, like hype-vs-reality indexes or platform divergence (Reddit vs HN), plus a full pipeline: scrapers, processors, and WebSocket updates. Developers love the quick-start Docker setup, CLI for running scrapers/processors/agents, and FastAPI endpoints for custom integrations—beats piecing together github open source tools. Hook: One command populates a dashboard with gig opportunities and startup gaps in hours.

Who should use this?

VCs tracking smart money convergence on YC batches and builder repos; founders spotting pain points or migration threats to competitors; PMs mapping tech lifecycles from research to mainstream; recruiters analyzing 2,600+ AI gigs and skill gaps from 10+ job boards. Ideal for teams building intelligence community ai strategy without a research department.

Verdict

Promising open source platform ai for market intel, with solid docs and production-ready deployment (PM2/Nginx). But 11 stars and 1.0% credibility signal early immaturity—test locally before prod. Grab it if you're prototyping ai community intelligence tools.

(198 words)

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