ICP (Ideal Customer Profile) candidates with confidence scoring 40 synthetic participants across fit levels (Core, Strong, Peripheral, Non-ICP) Simulated interview responses using a 6-pillar questionnaire framework Analysis and executive summary with strategic recommendations

The whole process takes ~5 minutes instead of weeks of recruiting and scheduling.

On methodology: I'm aware of the research showing synthetic participants don't fully replicate real human responses. To mitigate this, I implemented techniques from recent papers on reducing LLM persona simulation bias—diverse demographic anchoring, response calibration against known survey data, and explicit uncertainty modeling.

It's not perfect, but it's designed to surface directionally useful signals rather than false precision.

Important caveat: This accelerates early validation—it doesn't replace real customer conversations.

Use these insights to prioritize which segments to validate first and form better hypotheses before investing in traditional qualitative research.

Built with: Next.js, FastAPI, LangGraph, GPT-5.1/Claude Opus 4.5

Curious what HN thinks about the output quality and where it falls short.