The best candidates usually aren't applying — they're working. Innohire's resume database lets you reach millions of verified, AI-ranked profiles directly. Here's how top sourcers turn it into a reliable pipeline.
Start broad, then layer filters
Begin with a wide semantic query, then narrow with structured filters — skills, experience, availability, location, and work authorization. Layering beats over-specifying: you keep strong adjacent candidates instead of filtering them out too early.
Search on intent, not just keywords
Describe the person you need the way you'd explain it to a colleague — 'senior React engineer open to remote who's led a small team.' Semantic search understands that intent and ranks by fit, catching people a keyword search would never return.
Read the fit score, then the résumé
Every profile carries an AI fit score for your search, so your strongest matches rise to the top automatically. Use the score to triage, then read the résumé to confirm — you'll cover far more ground in far less time.
- Shortlist by fit score first, review depth second
- Filter on availability to prioritize reachable talent
- Use work-authorization filters to avoid dead-end outreach
Save searches and let alerts work
Sourcing is continuous, not a one-off. Save your best searches and get notified when new matching candidates enter the database — so your pipeline keeps filling while you focus on conversations.
