Fetcher

Fetcher is an AI candidate sourcing platform for recruiting teams that want to stop burning hours in talent databases and start building real pipelines. It blends AI screening with human review, letting you approve high-quality profiles in as little as 15 minutes per batch, with the average vetting time sitting at 23 seconds per candidate. The 500M+ candidate database spans engineering, finance, product, ops, marketing, sales, and customer success, so you can cover most knowledge-worker roles without switching tools. Fetcher works both ways. Outbound sourcing pushes your brand with templatized email sequences that average a 40% response rate, while the inbound recruiting feature (added January 2025) screens applicants who come to you, making the platform useful whether the market favors candidates or employers. It also applies personalized diversity filters to searches, helping you build pipelines that actually reflect your goals. The platform includes a Candidate Relationship Management system, LinkedIn sourcing plugin, profile refreshes, and basic recruitment analytics. It integrates with your ATS, CRM, email, and Slack, and supports unlimited spreadsheet imports. You keep human oversight at every step: AI flags, you decide. For growing teams this means sourcing capacity without adding headcount, and the vendor claims savings of 17 hours per role and $20k per recruiter each year. Fetcher is not a full ATS replacement; it's a sourcing and engagement layer that sits alongside your existing stack. Compared to manual sourcing or more involved tools like Gem, Fetcher is more of a managed service at its higher tiers, with a dedicated sourcer handling 4-6 roles on the Amplify plan. If you want a balance of automation and human judgment, this is a practical candidate.