Turns usernames into review-ready intelligence briefs for OSINT workflows.
Product memo
Autoresearch transforms raw username discovery into actionable OSINT intelligence briefs. It targets security, fraud, and recruiting teams by packaging public account signals from social, developer, and marketplace sources into structured workflows. Unlike basic link aggregators, it provides ranked findings, confidence notes, and exportable reports, enabling repeatable monitoring and compliance-focused investigations.
For who
Security, fraud, and recruiting teams
Solves what
Username discovery into structured OSINT intelligence briefs
- Username intelligence across open web
- Ranked findings and export-ready reports
- Monitoring and watchlist features
In their own words
Autoresearch turns a username into a review-ready intelligence brief
Inspired by Sherlock's open-source username discovery model, Autoresearch packages public account signals into a premium SaaS workflow. Search across social, developer, creator, marketplace, and forum surfaces, then move from raw links intoexports, watchlists, confidence notes, and team review.
Autoresearch packages public account signals into a premium SaaS workflow.
Commercial cues
Model
subscription
Free tier
No
Trial
No
Operator context
Founded
May 2026
Platform
Web app
Audience
General
Social / footprint
Builder Strategy
- Strategy Type
- Niche Specialist
- Stage
- Pre Revenue
- Effort
- Solo Buildable
About Autoresearch Expand
Autoresearch focuses on username intelligence, transforming raw username discovery into organized OSINT intelligence briefs. It serves security, fraud, and recruiting teams by aggregating public account signals from social, developer, and marketplace sources.
The platform delivers structured workflows, offering ranked findings, confidence notes, and exportable reports. This packaging helps teams establish repeatable monitoring and conduct compliance-focused investigations, moving beyond basic link aggregation to provide actionable data for professional use cases.