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New search (/intake) turns a role description into a validated candidate search.

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Input

Describe the role in your own words, paste a job description, or attach a PDF, DOCX, TXT, or MD file with the paperclip. As you type, five chips confirm what the system recognized — Location, Job Title, Years of Experience, Industry, Skills. Location accepts a city (“Detroit, MI”), a state, “USA” for nationwide, or “remote”. Written-out numbers (“Eight (8) or more years”) are understood. Two modes: Candidates (find people for a role) and Clients (find firms with open roles — calibrates at the firm level, and pauses for your approval before the paid org-chart scan). The model selector picks extraction strength: Haiku (fastest), Sonnet, or Opus.

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What runs when you send

1

Pool search — free

Your workspace’s already-enriched candidates are searched semantically first. Warm matches cost nothing and arrive already enriched; matches that fail this search’s gates are skipped, not imported.
2

Discovery

Google X-ray queries built from the criteria. Small markets automatically widen: the commute radius scales with market density, and searches near small towns add the nearest sizable city (“Findlay” also searches “Toledo”).
3

Enrichment

HarvestAPI scrapes each new profile (cached 60 days — re-surfaced profiles are free). Anonymized “LinkedIn Member” results are dropped before costing anything.
4

Gates, scoring, and the qualification loop

Hard gates reject clear mismatches with a named reason; everyone else gets a JD-weighted score. The pipeline searches deeper until it holds at least 10 enriched candidates at 85+ (or your requested count), then reports either the economics line or a scarcity report naming what’s binding. See Search Quality & Scoring.

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Reading the results

  • Tiers: A (85+, qualified) · B (70–84) · C (55–69) · D (below, or gated).
  • Gated rows show their reject reason inline (“out of area”, “missing required skill: cpa”) — a zero always explains itself.
  • Signal chips: tenure, move-ready, people leader, open-to-work, and per-search fit signals.
  • Click any row for the full profile — and record an Accept / Maybe / Reject verdict; these labels calibrate scoring to your team’s standards over time.
  • Find more searches deeper on the same scan; CSV exports the ranked list with subscores, tier, and reject codes.