Dover

Dover's AI sourcing agent finds and researches candidates across LinkedIn, GitHub, personal websites, portfolio platforms, and technical communities, then scores each one automatically against your specific job requirements. The sourcing is not limited to who has 'Open to Work' turned on — Dover actively identifies people who match the role regardless of whether they are currently looking, which substantially expands the reachable talent pool for competitive positions.

For technical hiring, Dover surfaces signals that a standard keyword search misses: open-source contributions, personal projects, published writing, and other indicators of what a candidate can actually do beyond what their resume says. This is particularly useful for engineering and product roles where demonstrated ability matters more than credentials.

Setup is lightweight: define your requirements, connect your ATS, and let the agent run. Dover integrates with most major ATS platforms — Ashby, Greenhouse, Lever, Workday — so there is no migration required. Recruiters review the scored shortlist rather than doing the initial search themselves, which typically saves several hours per open role.

For technical hiring, Dover's research across GitHub, portfolio platforms, technical writing, and community contributions surfaces candidates who are genuinely skilled but invisible to keyword-based LinkedIn searches. An engineer who has published a relevant open-source library, contributed significantly to a major project, or written thoughtful technical blog posts shows up in Dover's research in a way that a standard recruiter search would miss. This is particularly valuable for senior engineering and product roles where demonstrated work is more predictive than resume keywords.

The scoring is calibrated to your specific job requirements, not a generic fit algorithm. You define what matters — technologies, domain experience, role-specific signals — and Dover scores each candidate against those criteria. The output is a ranked shortlist with research attached, which a recruiter can review in a fraction of the time it would take to conduct the sourcing and research manually.

Dover's free sourcing tools are a genuine starting point for startups doing their first few technical hires without a full recruiting infrastructure. More complex hiring support is available as a managed service, where Dover's team handles sourcing, outreach, and scheduling in addition to the AI research layer. For early-stage companies deciding between hiring their first recruiter or using a managed recruiting service, Dover's model is worth evaluating directly.