Your next engineer either wrote the code or lied about it.
We find out which.
HireSignal reads the GitHub profile, verifies every resume claim, and either runs the technical interview by voice or coaches you live — then hands you a report with every claim marked confirmed, inconclusive, or contradicted, cited to the exact transcript line.
No account required · GDPR & CCPA compliant · works for any technical role
The problem
Résumés are unverified marketing copy. Most interviews test confidence, not competence.
The average engineering résumé contains at least one material exaggeration. Standard interviews rarely catch it — interviewers ask the same questions, candidates give rehearsed answers, and bias fills the gaps. HireSignal replaces the vibe check with evidence.
Example output
This is what you get back — every claim, a verdict, and the evidence behind it.
"5 years of TypeScript"
42 repos · 18k commits · first commit 2019
"Led a team of 8 engineers"
1 solo repo · no org memberships found
"Shipped features to prod"
All repos forked — no merged PRs anywhere
How it works
Three steps. Each one produces something you can defend.
- 1
Read the candidate before the call
Drop in a résumé, GitHub handle, LinkedIn URL, or screening form — any combination. HireSignal cross-references everything, surfaces inconsistencies, and builds the questions worth asking. You see the evidence, not a summary.
- 2
Run the interview — or don't
Use the live co-pilot to get real-time follow-up prompts and scoring rubrics while you talk. Or send a link: the AI interviews by voice, probes vague answers, and timestamps every exchange. You're not even on the call.
- 3
Get a report you can take into a hiring committee
Every claim: confirmed, inconclusive, or contradicted — with the transcript quote. An overall score, hire-signal summary, and plain-English write-up for non-technical stakeholders. Your decision, but with actual data.
Try it now
Pick a candidate answer — see exactly how HireSignal scores and cites it.
What's included
Everything engineering teams actually need.
Batch screening
Paste a CSV from Greenhouse or Lever. Every candidate runs in parallel — results in minutes, not days.
GitHub deep scan
Commit cadence, language depth, PR quality, collaboration footprint. Not just a star count.
Score explainer
Every number comes with a drilldown — which signals moved it, which claims raised it, what to probe next.
GDPR & CCPA ready
Opt-out endpoints, sub-processor disclosure, and full audit logs. Compliance baked in, not bolted on.
ATS-ready output
Push structured JSON or CSV directly to Greenhouse, Lever, or any system via webhook. No copy-paste.
Claim verification
Every resume assertion is cross-referenced against GitHub artifacts, form answers, and transcript quotes.
Autonomous interviews
Send a link. The AI interviews by voice, probes vague answers, and flags inconsistencies. No scheduling.
Structured reports
Hire/no-hire signal, plain-English summary for stakeholders, and a full transcript with timestamps.
The next engineer you interview — do you actually know if they wrote that code?
Paste a GitHub URL. No account. No setup. See a full candidate brief in under 8 minutes.