Opted-in by design
Every searchable candidate created a profile and chose to be discoverable. You're not cold-messaging scraped data.
Describe the hire. Skip the boolean strings.
Type what you actually need — “senior backend engineer who has scaled payments infrastructure, open to remote” — and semantic search surfaces candidates whose experience means that, even when their profiles use different words.
Why plain-English search beats keyword filters
Boolean search matches tokens. Semantic search matches meaning.
A boolean string asks whether a profile contains your exact words. It rejects the engineer who wrote “led a team of four” when you searched “management experience,” and floods you with profiles that stuffed the right keywords. Semantic search reads both your query and every profile for meaning, so genuine matches surface even when the vocabulary differs — and keyword stuffing stops working.
The mechanics are covered in semantic search vs keyword search in recruiting.
How a search runs
Write the search like a brief
Role, must-have experience, context, constraints — in a sentence or two. No operators to learn.
Matching reads meaning
Profiles are indexed semantically; your query is matched against what candidates actually did, then reranked for fit.
Review honest match scores
Every result carries a fit score that nobody can buy. No promoted profiles, no paid placement — ranking reflects relevance only.
Shortlist and act
Push candidates into shortlists with your own pipeline stages, compare finalists side by side, and message them in-app.
A pool that wants to hear from you
Search opted-in candidates, not scraped profiles.
Availability up front
Profiles carry current availability and work preferences, so you stop chasing people who aren't looking.
Reveal when ready
Contact details stay private until you spend a reveal credit — deliberate outreach instead of database blasting.
Honest ranking
Candidates can't pay to outrank each other, so your top results are your best fits — not the biggest spenders.
Frequently asked questions
Do I need to learn boolean operators?
No. You write searches in plain English. If you're used to boolean, your briefs translate directly — describe the requirement instead of encoding it.
Where do the candidates come from?
Candidates create their own profiles on Traceroster and opt into discovery. We don't scrape or resell public web profiles, so the pool is smaller than a scraped database — and far warmer.
Can candidates pay to rank higher?
Never. Search results are ranked by fit alone. Candidate upgrades buy profile tools, not position.
How many searches do I get?
Plans include monthly AI search prompts — 60 on Starter, 250 on Growth, 800 on Team. See pricing for the full breakdown.
Can I try it before paying?
Yes — every recruiter workspace starts with a 7-day free trial.
Run your first search today
Describe a real role you're hiring for and see who surfaces.