Fetcher is an AI recruiting tool that automatically sources passive candidates from LinkedIn and other networks based on job description inputs, then runs personalized outreach sequences to engage them. Recruiters review and approve AI-sourced candidates and AI-drafted outreach rather than doing the sourcing and writing themselves, dramatically reducing manual research time. Talent acquisition teams, recruiting agencies, and startups use Fetcher to run always-on passive candidate sourcing without requiring recruiters to spend hours on LinkedIn. The AI continuously identifies candidates matching defined criteria and sends approved outreach, keeping the sourcing pipeline active even when recruiters are focused elsewhere. The learning model improves candidate quality over time based on which candidates recruiters approve. Fetcher's automation-first approach shifts the recruiter's role from manual searching to reviewing and approving AI-identified candidates. This changes the unit economics of recruiting: a recruiter can manage significantly more open roles when automation handles sourcing, making it particularly valuable during high-growth hiring periods.

What the community says

Fetcher is well-regarded by talent acquisition professionals for reducing the manual effort in passive candidate sourcing. Users report significant time savings and consistent sourcing pipeline activity. The learning model quality improvement over time is frequently cited. Based on community discussions from HR and recruiting forums.