Paste a req. Watch it work.

Paste a req.
Run the whole desk from one screen.

The role decoded, candidates found where the index tools cannot see, an evidence-cited verdict with the one gap to probe on every person, outreach written from real company intel and sent from your own address with opens and replies tracked, one click into your pipeline. Every choice you make trains your engine. Built for working recruiters on scarce technical talent, with a receipt behind every verdict.

Paste your first role See how it works
SOURCINGNAV
TodaySourceBenchPipelineAnalytics
+ New role
Inbox · needs your reply
Sarah Chen applicant
Re: Staff EMC Design Engineer — "happy to talk this week"
Send reply
Hi Sarah — great to hear. Rather than email tag, send me two windows that work this week and I'll lock one in. Looking forward to it. — Jason
Open roles
Staff EMC Design Engineer
Costa Mesa · defense
+9 found overnight⚠ 2 stuck >7d
Recruiter screen
M. Alvarez · 92
D. Park · 88
Tech deep-dive
R. Okafor · 95
HM onsite
L. Tran · 90
Sourced overnight · best fit first
96
Principal EMC Engineer
MIL-STD-461 · CS114 · Epirus
👍👎
91
E3 Design Engineer
DO-160 · Long Beach
👍👎
78
RF Test Engineer
adjacent title · same metro
👍👎
Reach out · why now
K. Nguyen
bench · employer announced layoffs
layoffs
T. Brooks
passed once · opted into your pool
pool opt-in
~1 hr
Manual work per new req
30 sec
With SourcingNav
1 verdict
Per candidate, not a maybe
100%
Explainable scores, every call traceable

Watch a req become a shortlist.

Paste the role. The engine decodes it, finds the people, and hands you a ranked verdict on each one: the reason they fit and the one gap to probe. About 30 seconds, start to finish.

1 You paste the req

Drop in the job description

Job description
Staff Data Engineer, Series B fintech. Own real-time ingest: Kafka, Spark Structured Streaming. 5+ yrs at payment scale. Python, AWS.
2 The engine decodes it

Search strings and target companies, built for you

Boolean / X-ray
("data engineer" OR "platform engineer") AND (Kafka OR Spark) AND (fintech OR payments)
Stripe Plaid Brex + 9 more
3 You get a verdict

Every candidate ranked and explained

84
Staff DE, payments
8 yrs, Kafka + Spark
SUBMIT
61
Senior DE, adtech
5 yrs, batch only
MAYBE

That verdict is the product, not a maybe. Here is one up close:

84
Staff Data Engineer candidate SUBMIT
Scored against your open req · the verdict, not a maybe
WHY 4 years running Kafka and Spark pipelines at payment scale — exactly the ingest problem this role owns.
GAP No defense or clearance background. The one thing to probe on the call.
Coming soon Company-side tools — employee lifecycle, flight-risk, and workforce planning — are in development. The recruiter workflow above is live today.

Watch the demo.

The full flow, start to finish. A real req becomes a ranked shortlist with a verdict on every candidate.

Run the whole desk, not just the search.

Today opens with who applied, who the overnight sweeps found, who needs a reply (draft already written), and who deserves a reach-out right now. Everything else is one tap deep.

Run your morning

The desk assembles itself while you sleep.

  • Inbox replies drafted in your voice — send, edit, or decline
  • Stuck-candidate alerts before a deal stalls out
  • Reach-out signals: layoffs at a bench candidate's employer
  • Voice notes become searches and booked interviews

Source wider than the index

Coverage a keyword search can never reach.

  • Company universes that adapt to the role's industry
  • Twin search: paste one great profile, find its doppelgängers
  • An AI sourcing expert that learns from every 👍 and 👎
  • Contact reveal and email finding, credit-guarded

Close like a team

Enterprise-grade, from a shared pool to coverage.

  • Shared bench pool — every candidate labeled with its owner
  • Collision guard: never double-touch a teammate's candidate
  • Hand off a role whole, or set vacation coverage that auto-returns
  • Interview plans that build themselves from the JD

Everything You Need.
Nothing You Don't.

Taxonomy-driven skill matching, a deterministic 8-dimension scorecard, and competency frameworks — running on the JDs and candidates you bring.

8-Dimension Scoring

Technical match, seniority fit, location, comp alignment, culture, gap analysis, presentation risk, and fill probability — all weighted and scored.

Fill-Probability Modeling

Every verdict carries a fill-probability score from the engine, calibrated by the outcomes you log. Hiring-signal detection is on the roadmap.

Market Patterns

Across the reqs you parse, see role clusters, top poaching targets, and difficulty distribution. Cross-industry benchmarking grows as your corpus does.

Competency Framework

14 competencies across 4 categories. 5-level proficiency scales. Archetype-specific weighting for ICs vs managers.

Taxonomy Engine

Skill adjacency relationships — exact, alias, adjacent, and parent matches. No more keyword-matching failures.

Strategy Reports

Client-facing talent strategy with org charts, hiring sequences, comp benchmarking, risk assessments, and fee projections.

Works Alongside Your Stack

No connector to configure and nothing to install: paste from anywhere — LinkedIn, a resume, your ATS — and copy verdicts back out as clean text. Native ATS connections are not built yet, and are listed below as what they are.

Works today · no setup
Paste a JD from any ATS
Paste a LinkedIn profile
Paste or upload a resume
Copy verdicts out as text
CSV in and out
Not built yet · no date promised
Greenhouse
Lever
Ashby
Workday
iCIMS
BambooHR
Rippling
Merge.dev
Google Jobs
LinkedIn API
Levels.fyi
Crunchbase

Stop Guessing.
Start Engineering.

Free for 14 days, no credit card. Built by a recruiter who believes hiring is a data problem, not a guessing game. See pricing.

Paste your first role See how it works