I built a tool that helps YC companies figure out what to build next
It clusters cross-source feedback, ranks themes, and — crucially — links every recommendation back to the original quotes, which makes the output auditable instead of a mysterious LLM blob. You can chat with your dataset and export AI-generated specs and GitHub issues, which pushes discovery straight into execution; my main questions are accuracy on private corp data and how it prevents hallucinated recommendations.
