Automates username discovery into structured intelligence briefs for security and fraud teams.
Product memo
Autoresearch gives security, recruiting, and fraud teams a way to turn raw username discovery into actionable intelligence briefs. It focuses on structured workflows, delivering ranked findings, confidence notes, and exportable reports. This approach simplifies investigations, enabling repeatable monitoring and compliance checks for public account signals.
- For who
- Security, recruiting, and fraud teams
- Solves what
- Automates username discovery into structured 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 into exports, watchlists, confidence notes, and team review.
Operator & company
Company
- Founded
May 2026
Operating model
- Business model
Saas
- Platform
Web app
- Audience
General
Builder strategy
ProvenRadar analysis
- Strategy Type
- Niche Specialist
- Stage
- Pre Revenue
- Effort
- Solo Buildable
Commercial cues
- Model
- subscription
- Free tier
- No
- Trial
- No
Pricing strategy
- • Growth adds 5 Autoresearch workspaces.
About Autoresearch Expand
Autoresearch helps security, recruiting, and fraud teams move from raw username links to review-ready intelligence briefs. It automates the process of searching across social, developer, creator, marketplace, and forum surfaces.
The platform then structures these public account signals into ranked findings with confidence notes, offering exports in CSV and XLSX formats. This approach simplifies investigations and monitoring, ensuring teams can efficiently track and analyze online identities without manual data aggregation.