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Autoresearch
Turn usernames into review-ready intelligence briefs
Autoresearch turns a username into a review-ready intelligence brief. It searches public account signals across social, developer, creator, marketplace, and forum surfaces, then organizes matches into confidence notes, watchlists, exports, and team review workflows. Built for teams that need structured public username research instead of scattered manual searching.
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.
About Autoresearch on Product Hunt
“Turn usernames into review-ready intelligence briefs”
Autoresearch was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #136 on the daily leaderboard. Autoresearch turns a username into a review-ready intelligence brief. It searches public account signals across social, developer, creator, marketplace, and forum surfaces, then organizes matches into confidence notes, watchlists, exports, and team review workflows. Built for teams that need structured public username research instead of scattered manual searching.
On the analytics side, Autoresearch competes within Productivity, SaaS and Artificial Intelligence — topics that collectively have 1.2M followers on Product Hunt. The dashboard above tracks how Autoresearch performed against the three products that launched closest to it on the same day.
Who hunted Autoresearch?
Autoresearch was hunted by dengkui yang. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Autoresearch including community comment highlights and product details, visit the product overview.
dengkui yang