In simple English
This tool collects what people say on twenty-five different technology websites every day. It reads discussions from Reddit, Hacker News, GitHub, and job boards. Then it uses artificial intelligence to find patterns, complaints, and business opportunities. You get a dashboard that shows what builders are actually frustrated with, instead of reading biased marketing reports. Running it requires an API key for language models and a local database, and it is free under an MIT licence.
What it is
An open-source market intelligence platform that aggregates data from twenty-five public tech sources and runs analysis agents over it. It stores the collected information in a PostgreSQL database and presents insights through a FastAPI backend and a React dashboard.
What it is good for
Founders, investors, and product managers who want to find real market gaps, track competitor mentions, and see what developers are complaining about without doing manual research.
- Monitors twenty-five data sources including Reddit, Hacker News, GitHub, and job boards.
- Includes ten specialized analysis agents for traction, market gaps, and talent flow.
- Comes with a complete React dashboard and a built-in spending tracker to control language model costs.
- Requires technical setup with Python, PostgreSQL, Redis, and a compatible language model API.
- Running large language model analysis over thousands of posts can incur significant API costs if not managed carefully.
- High maintenance overhead due to twenty-five different scrapers breaking whenever target sites change their layouts.
manual market research across multiple forums and expensive commercial intelligence tools
PostgreSQL
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git clone https://github.com/akshayturtle/ai-community-intelligence.git cd community-mind-mirror/community-mind-mirror cp .env.example .env docker-compose up -d python -m venv venv source venv/bin/activate pip install -r requirements.txt python init_db.py