Autoresearch: Turn usernames into review-ready intelligence briefs

Hi everyone 👋 I built Autoresearch because username research is still surprisingly manual. When a team needs to understand a public handle, they often jump between social platforms, developer profiles, forums, marketplaces, creator pages, and spreadsheets — then struggle to package the findings into something another person can actually review. Autoresearch turns a username into a structured, review-ready intelligence brief. It helps you: - search public account signals across 400+ public sources - review username matches across platforms - check identity consistency and confidence signals - create watchlists and confidence notes - export findings for team review - support brand watch, impersonation risk review, and public account discovery workflows The goal is not to replace human judgment, but to make public-signal research easier to inspect, discuss, and act on. I’d love to hear your feedback, especially from teams that do research, trust & safety, brand monitoring, or public account review work.