Screen. Brief. Interview.
Fully automated.
HireSignal is the only platform that covers the entire pipeline — from GitHub scoring to an AI interviewer that runs the call for you.
11-Signal Scoring Engine
A deterministic, explainable scoring model across eleven HR-relevant signals — each with a per-signal confidence band. Reproducible every time — no black boxes.
LLaMA 3.1 AI Analysis
A self-hosted LLaMA 3.1 8B model enriches every report with candidate-specific insights — not generic templates.
Commit Quality Analysis
Goes beyond star counts — samples actual commit messages to assess engineering discipline and team habits.
Batch Screening
Screen an entire candidate pipeline at once. Rank, compare, and export — without touching a single repo manually.
The full interview pipeline — AI-powered end to end
Three stages, two models, one coherent workflow. Claude Sonnet handles deep analysis where latency allows. LLaMA 8B handles real-time assistance where the candidate is live.
Interview Brief — Claude Sonnet
Before the recruiter joins a call, Claude Sonnet generates a deep pre-interview brief.
- Reads every signal: GitHub, CV, LinkedIn, screening form
- Ranks the 7 highest-signal questions by priority
- Writes per-question rubrics: strong / adequate / weak answers
- Identifies unverified claims worth probing
- Suggests interview format (technical, portfolio, etc.) and number of rounds
- All reasoning stored in the audit log (GDPR Art. 22)
Live Interview Co-Pilot — LLaMA 8B
The recruiter is in the meeting. The Co-Pilot assists in real time — silently, in the browser.
- Listens as the recruiter types candidate answers
- Suggests follow-ups in ≤200ms using LLaMA 8B
- Scores each answer live against the brief rubric
- Flags evasive or off-topic responses immediately
- Notes key statements with one click
- Summarises performance as the call progresses
Post-Interview Report — Claude Sonnet
When the interview ends, Claude Sonnet synthesises everything into a complete hiring report.
- Hire / Hold / No-Hire recommendation with confidence
- Question-by-question assessment against rubrics
- Signal flags: strong answers, red flags, risk items
- Calibrated hire recommendation with reasoning chain
- Suggested next steps (technical test, reference, offer)
- Fully exportable — PDF, ATS push, audit log entry
Claude Sonnet
Brief generation · Post-interview report
LLaMA 8B (self-hosted)
Real-time Co-Pilot · Autonomous turns
Zero third-party AI
No data sent to OpenAI or Anthropic
The AI conducts the interview.
You review the report.
Send a candidate a browser link. Mergen — HireSignal's AI interviewer — greets them, asks the brief questions, follows up intelligently, and closes the session when done. No recruiter is in the room. You receive the PostInterviewReport automatically when the session ends.
On-device STT
Browser Web Speech API — audio never transmitted
On-device TTS
Browser speech synthesis — Mergen speaks naturally
LLaMA 8B turns
≤200ms latency · self-hosted RunPod cluster
No audio stored
Only text transcript ever leaves the browser
Compliance built in: Mandatory AI disclosure on the consent screen (EU AI Act Art. 52 · NYC LL144). Candidate right-of-access transcript emailed automatically (GDPR Art. 15). Full audit trail for every session.
What the Autonomous Interviewer does
- Recruiter sends a single link — AI conducts the full interview
- Browser-native voice I/O (STT + TTS) — audio never leaves the device
- Mergen (the AI) asks questions, follows up, and probes intelligently
- Handles silence, empty responses, and evasive answers gracefully
- Time-limit enforcement (server-side, per-session)
- Candidate consent screen — EU AI Act Art. 52 & NYC LL144 compliant
- PostInterviewReport auto-generated when session ends
- Recruiter receives email notification — zero recruiter time required
- GDPR right-of-access transcript emailed to candidate automatically
- Full audit trail in Redis — 1-year retention for employment records
Where it sits in the pipeline
The Autonomous Interviewer replaces Stage 2 when no recruiter is needed. It feeds directly into Stage 3.
And much more
Every edge case, handled.
One-Click Reports
Shareable PDF & link exports for hiring manager briefings. No engineering required.
Interview Guide
Auto-generated interview plan with rubrics, pipeline stage, and AI-enhanced questions.
ATS Export
Push candidate data directly to Greenhouse or Lever via webhook integration.
Pull Request Analysis
View the candidate's recent PRs across public repos — real collaboration signal.
Experience Inference
Automatically determines Junior / Mid-level / Senior / Staff level from public signals.
Role Suggestion
Recommends the best-fit engineering role based on language stack and project patterns.
Privacy-First Design
Self-hosted AI, public data only. History stored in your encrypted account — deletable anytime. No third-party LLM access.
Confidence Scoring
Every decision includes a data confidence %. Low public data triggers a 'needs review' flag.
Nuanced Hire Decisions
Strong Hire / Hire / Needs Review / Insufficient Data — never a blunt reject when data is sparse.
Under 60 Seconds
Full GitHub fetch, scoring, and AI narrative delivered before your coffee cools.
Gold Standard Benchmark
Compare any candidate against your own internal engineers to calibrate the bar.
AI Transparency Layer
When AI overrides the rule engine, a banner shows exactly what changed and why.
From screen to hire — all in one tool.
GitHub analysis · AI brief · live Co-Pilot · Autonomous Interviewer · post-interview report. Start free, no credit card.