AI screening for recruiting teams
Hire great engineers without being technical.
248 résumés land in your inbox. Recrewit reads every one before you do.
248 résumés
reading liveR. Patel
Backend Engineer
S. Kim
DevOps
T. Alvarez
Frontend Engineer
N. Osei
Full-Stack
Stage 01 — Screen
Every résumé, read in seconds.
Recrewit parses experience, skills and context against the role — no keyword matching, no guesswork.
Stage 02 — Score
Ranked, not just reviewed.
Every candidate gets a transparent match score you can audit — so you know exactly why someone rose to the top.
Senior Software Engineer
248 applicants · auto-screened
A. Rivera
STRONG HIRE8 yrs · parsed in 1.2s · top 2% of applicants
Next in queue
J. Chen
Senior Backend
M. Okafor
Full-Stack
K. Singh
Frontend
Stage 03 — Shortlist
Five names. Zero noise.
By the time you open your dashboard, everything that didn't matter is already gone.
Ready when you are
Hiring, minus the guesswork.
See Recrewit sort your next 248 applicants, live.
248 applied → 61 screened → 5 shortlisted this week
One platform, the whole hiring loop.
One post. Every board.
Compose the role once and publish to Indeed, LinkedIn and Dice — with the Recrewit board always on, scoring every applicant as they arrive.
Recrewit AI formats every board and keeps all applicants in one pipeline.
Recrewit Job Board
Always included. Every applicant is scored by Recrewit AI.
Indeed
Largest reach for active applicants.
Best for passive senior talent.
Dice
Specialised tech talent pool.
Your whole pipeline, one funnel.
Applicants, resume review, interview, recruiter hand-off — every stage and every role at a glance, with the top picks surfaced first.
You have 237 applicants across 5 open jobs, with 41 recommended for review.
Top picks
Interviews in progress
Every resume, a full profile.
Experience, skills, education and a match read-out — extracted into one structured candidate profile, with the reasoning attached.
Marcus Reyes
Backend Engineer
m.reyes@gmail.com · Austin, TX · github.com/mreyes
Experience
• Rewrote the edge config service in Go, 40% lower p99.
• gRPC + Kafka pipeline ingesting 2M events/s.
• Owned Postgres + Redis data plane for 600 services.
Education
B.S. Computer Science · UT Austin · 2017
Skills
Go · gRPC · Kafka · Postgres · Redis · Kubernetes · Observability
Marcus Reyes
Backend Engineer · Austin, TX
Deep hands-on Go background — built and shipped the exact stack this role needs. Polly flagged one infra answer worth a 10-minute call.
- 5+ yrs production GoMust
- Distributed systems at scaleMust
- gRPC · Kafka · Postgres
- Kubernetes / infra ownershipMust
Screened and graded for you.
A match score, an A–F grade, the matches and the gaps — every applicant ranked by technical fit the moment they apply.
AI Screen complete
Senior QA SDET · Acme
8 yrs in test automation with deep Selenium + Playwright depth and a CI background that maps cleanly onto the SDET brief. Strong API-testing track record; light on performance-testing exposure, easily ramped.
248 applicants. One number that matters. Ranked by technical fit — with the reasoning attached.
A. Rivera · STRONG HIRE — ranked #1 of 248 applicants by technical fit.
We run the coding interview.
We run the coding interview.
20 pts · 3 sample cases
Given an array nums and an integer target, return the indices of the two numbers that add up to target.
Example 1
Run your code to see test results.
to parse a resume into a profile
of screening scores come with reasoning
engineers needed in the loop
applicants ranked in a single pass
You find culture fit.AI finds technical fit.
Recrewit does the technical heavy lifting — so no one great slips through, and the judgment stays yours.
“Westoppedguessing.Recrewittolduswhichengineerscouldactuallydothejob—beforeweeverpickedupthephone.”
to parse a resume into a profile
of screening scores come with reasoning
applicants ranked in a single pass
Stop guessing who can do the job.
In a 30-minute walkthrough, we’ll show you Recrewit on a live example — from a posted job to a ranked, interviewed shortlist. See exactly how it’d work for your team. No engineer required.
Bias-audited · candidate-transparent · recruiter always decides
P. Shah
Senior QA SDET
H. Yusuf
Data Platform
A. Rivera
Backend Eng (Go)
M. Lin
Frontend Eng
D. Okafor
Staff ML Engineer