Search for a username across 1,000+ social media platforms in minutes instead of manually checking each site.
Investigate suspicious online accounts by gathering metadata and screenshots from found profiles.
Verify someone's digital footprint and see which platforms they actively use.
Generate visual connection graphs showing how a username appears across different social networks.
Requires Node.js/Python runtime and likely API keys or rate-limit handling for multiple social media sites.
Social Analyzer is an open-source OSINT (Open Source Intelligence) tool that searches over 1,000 social media websites and platforms to find profiles associated with a given username. OSINT means gathering publicly available information from the internet for investigative purposes. The problem it solves: if you need to find where a particular username exists online, for research, security investigations, or verifying an identity, manually checking each social media site one by one would take hours. Social Analyzer automates this across more than 1,000 sites at once. How it works: you give it a username, and it systematically checks each site in its database to see whether a profile exists there. It uses multiple detection techniques, direct HTTP requests and browser automation, and rates each result on a scale from 0 to 100 to indicate confidence (labeled No, Maybe, or Yes). It can also extract metadata from found profiles, take screenshots, and generate a force-directed visual graph of connections across profiles. It handles name permutations too, so it can try variations of a name automatically. You would use this tool when investigating suspicious online activity, researching a person's digital footprint, or conducting security work. The README notes it is used by some law enforcement agencies in resource-limited countries. The tech stack is JavaScript and Python, running on Node.js, with optional browser automation for deeper detection.
Generated 2026-05-18 · Model: sonnet-4-6 · Verify against the repo before relying on details.