In simple English
This tool scans social websites for people asking about problems your product fixes. It checks Reddit, Twitter, LinkedIn, Hacker News and other sites every five minutes. It scores every mention with artificial intelligence and drafts a helpful reply for you. You can review the leads in a dashboard and post replies using a browser extension. You run it on your own server, so your data stays private.
What it is
LeadEcho is a self-hosted social intent monitor written in Go and TypeScript that tracks mentions across the web. It uses vector embeddings and large language models to filter out spam and rank buyer intent automatically.
What it is good for
Solo founders and indie builders who want to find potential customers on social media without spending hours searching manually every day.
- Monitors multiple platforms from one self-hosted dashboard.
- Uses artificial intelligence to filter spam and score buyer intent.
- Includes a browser extension for quick, natural-looking replies.
- Requires Docker, a PostgreSQL database with pgvector, and a Redis server to run.
- Needs external API keys for artificial intelligence providers like DeepSeek or OpenAI.
- Some platforms like LinkedIn and Twitter need browser session cookies and extra sidecars to work properly.
manual social media keyword searches and spreadsheets
PostgreSQL (a reliable relational database for storing application data)
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git clone https://github.com/rohansx/leadecho cd leadecho cp .env.example .env docker compose up -d make migrate-up make up