Fetcher

Fetcher is built for in-house recruiting teams at growing companies that need to fill roles continuously without hiring a large sourcing function. Instead of relying on LinkedIn alone, the platform screens databases, job boards and resumes with AI and pairs that with a human-assisted outbound service, so recruiters review curated batches of candidates rather than searching profiles manually. Publicised benchmarks include around 23 seconds average vetting time per sourced candidate and about 17 hours saved per role.

The platform supports both inbound and outbound recruiting. When candidate supply is plentiful you can let AI screen and filter; when talent is scarce you shift to outbound sourcing and automated email sequences that warm up passive candidates. Users report response rates around 40% from those sequences, and the review workflow is designed to be fast — one customer quotes reviewing a batch in 15 minutes or less before adding candidates to an email campaign.

Beyond sourcing, Fetcher emphasises diversity pipelines with personalised search criteria for under-represented groups, deeper candidate data than a basic LinkedIn search, and integrations with applicant tracking systems, CRMs, email tools and Slack. Note that the site currently displays a banner stating that Juicebox has acquired Fetcher assets, so teams evaluating the product should confirm current support and roadmap status during a demo.