MarketEcho

Hey everyone! I'm Manu, the maker of MarketEcho. Why I built this: I kept running into the same problem: I'd spend weeks recruiting focus group participants, only to discover my ICP assumptions were wrong from the start. Traditional user research is invaluable, but it's slow and expensive, especially when you're still figuring out who to talk to. How it works: Enter your startup URL (or paste your pitch) MarketEcho extracts your thesis and generates ICP candidates with confidence scores You review and confirm the ICPs It creates 40 synthetic personas across fit levels and simulates authentic focus group responses You get analysis and an executive report What it's NOT: A replacement for real customer conversations. I'm aware of the research on LLM persona simulation limitations. I've implemented bias mitigation techniques to make outputs directionally useful, but this is meant to help you prioritize which segments to validate first, not skip validation entirely. Built with: Next.js, FastAPI, LangGraph, AG-UI and a mix of GPT-5.1/Claude Opus 4.5/Grok Would love your feedback on: Output quality and where it falls short What would make this more useful for your workflow Try it and let me know what you think!