Deep talent search on autopilot
Pick a sourcing strategy from the brief, then search, evaluate, and refine in the background until the shortlist is strong.
Schedule
Continuous · On-demand, then continuous until you stop it.Integrations
LinkedInGitHubAshbyKaggleHugging Face
LinkedIn
GitHub
Ashby
Kaggle
Hugging FaceChannel
Slack or Teams Email digest
#hiringExample run
You
You
@laidback find senior ML engineers in Europe, ex-FAANG. Iterate on my thumbs up/down until I say stop.
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Laidback
Done, here is the result:
- 1.Pick a sourcing strategy from the role brief (infra, research, frontend, security, ops).
- 2.Run iterative searches across 900M+ profiles, GitHub, papers, patents, ICPC/Kaggle.
- 3.Refine after every batch based on your thumbs up/down.
Nothing goes out without you. Which candidates make the shortlist and get outreach.
How I run it
- 1.Parse the brief into hard filters and soft signals.
- 2.Run iterative multi-source searches, dedupe against pipeline.
- 3.Post a batch, learn from your reactions, re-calibrate, repeat.
What I need from you
- —The role, seniority, must-haves and disqualifiers.
- —Regions and remote policy.
- —Batch size (default 10) and desired final shortlist size.
Where I stop and ask
- —Any candidate entering outreach.
Other sourcing jobs
DailyStale-role reopenerCheck every role open longer than 30 days and hand you a fresh shortlist plus outreach drafts each morning.WeeklyLookalike shortlist refreshWeekly, re-run top-of-funnel search using your best hires as the seed profile.WeeklyPassive-market sweepScan for engineers at layoff-affected companies matching your open reqs.
