AI Candidate Sourcing from 850M+ Profiles

Boolean search requires you to construct exact keyword strings and manually combine operators. Pin's AI sourcing lets you describe your ideal candidate in plain English. The skills-based hiring AI interprets intent, evaluates candidates on skills and experience rather than keyword matches, and surfaces candidates that Boolean search misses — especially for niche roles where titles vary across companies.

Most AI sourcing tools search a single database or require complex Boolean strings. Pin searches 850M+ profiles across dozens of data providers in one query, ranks candidates by actual skills and fit, and feeds results directly into outreach and scheduling. It replaces your sourcing tool, your contact finder, and your outreach platform in one product.

Skills-based hiring AI evaluates candidates on demonstrated skills and experience patterns rather than job title keywords. A candidate titled 'Software Engineer III' at one company and 'Senior Developer' at another are correctly identified as equivalent — something keyword-based recruiter sourcing tools miss entirely.

Yes. The majority of candidates in Pin's 850M+ profile database are passive — they aren't actively job searching. Pin's AI candidate sourcing identifies passive talent based on skills and experience, then automated outreach engages them with personalized messages across email and LinkedIn before they ever hit a job board.

Agencies use Pin to run AI candidate sourcing across multiple clients simultaneously. Each client gets a separate pipeline with dedicated searches and outreach campaigns. Recruiters report cutting sourcing time by 80% and doubling placements — the AI handles top-of-funnel while you focus on client relationships and closing.