AI Developer Screening
Verify the resumeagainst real code
Upload a resume and a GitHub account. Our AI analyzes real commits, projects and contributions to reveal a developer's true skills, seniority and red flags - before you interview.
No action needed from the candidate
First report in a few minutes
Every finding has a public source
Every recruiter gets 3 free screenings every month.
github.com/lucidrains
AI / ML Engineer
A+
Resume claims verified against public code
The hiring blind spot
Resumes are writtento pass your filters
Keywords, inflated titles and vague achievements all look convincing on paper. Screening compares every claim with public code, so you see the real level before the first call.
The resume says
The code shows
Senior ML engineer, 8 years
PyTorch appears only in forks, without commits
Designed the model training pipeline
Contributions are mostly config and README edits
LLM fine-tuning expert
Real depth is in data pipelines, not in models
What you stop wasting
Hours of manual GitHub digging for every candidate
Interview slots spent on candidates who never fit
Months of salary lost on a single wrong hire
AI Screening
How it works
Three steps, no integrations and nothing to install. You go from a link to a decision without leaving the page.
01
Upload resume or GitHub
Drop a CV (PDF or DOCX) or paste a GitHub username. Any single source is enough.
30 seconds
02
AI analyzes GitHub & CV
We scan real repositories, commit history and contributions, then cross-check them against the resume.
2-5 minutes
03
Get a verified report
In minutes you receive a tier rating, core skills, behavioral insights and resume-vs-evidence findings.
Instant
All we need to start
A GitHub username - the main source of evidence
A Hugging Face profile for ML candidates - optional
A resume in PDF or DOCX to cross-check claims - optional
Yes. We only process data you are entitled to use, and resumes are handled in line with our privacy policy.
Sample report
See exactly what you'll get
A real AI report on a well-known AI/ML open-source developer.
Phil Wang
github.com/lucidrains · AI / ML Engineer
Tier
A+
Top roles
Core technologies
Verified artifacts
300+public repos
90k+GitHub stars
8+years active
Resume claims vs. evidence
"6+ years in machine learning" - Confirmed by 8 years of public ML commits
"Expert in PyTorch" - Confirmed by dozens of implemented model architectures
"Trained LLMs on a 64-GPU cluster" - Not verifiable from public code
Every insight is backed by verifiable public evidence.
Inside the report
Everything you needto make the call
Each report reads like a short technical review of a candidate: two minutes to understand the level and to know exactly what to ask at the interview.
Tier and verified skills
A single rating plus the technologies that are actually visible in the candidate's code.
Resume cross-check
Every claim is marked as confirmed, partly supported or impossible to verify.
Behavior over the years
Consistency of activity, collaboration style and how the candidate's focus has evolved.
Fit for your vacancy
Link a screening to a job and get a match score, plus groups to compare candidates side by side.
Why recruiters use it
Skip the guesswork
See real, evidence-based skills instead of self-reported claims.
Catch resume inflation
Instantly spot the gap between what a resume claims and what the code shows.
Screen at scale
Analyze many candidates at once and focus your time on the strongest ones.
Pricing
AI Screening credits
Each credit runs a full AI analysis of a developer's GitHub and resume - verified skills, tier, red flags and behavioral insights. Buy a package and use credits anytime.
Most Popular
Medium
$2/ Candidate
2 credits
Adds AI profile, career trajectory and resume cross-check.
Get Started
High
$4/ Candidate
4 credits
Adds behavioral insights, the job-switch forecast and PDF export.
Get Started
3 free screenings every month, 25 with Premium. Extra screenings cost $1 per credit from your balance.
1 credit = $1. Monthly credits are spent first, then your balance.
Frequently asked questions
What data do you analyze?
We analyze public GitHub and Hugging Face activity - repositories, commits, languages and contributions - and, if provided, the candidate's resume.
How long does an analysis take?
Most analyses complete in a few minutes. You can leave the page and we'll notify you when the report is ready.
How much does it cost?
One credit = $1 and one screening: Low costs 1 credit, Medium 2, High 4. Every month you get free credits, and anything above the quota is charged from your balance.
Does the candidate know about the screening?
No. We work only with public data and the files you upload, and we never contact the candidate on your behalf.
Can I screen many candidates at once?
Yes. Collect candidates in a group or link them to a vacancy and run the analyses in bulk - each report is billed separately.
Is candidate data handled securely?
Yes. We only process data you are entitled to use, and resumes are handled in line with our privacy policy.
Start screening developers today
Upload your first resume or GitHub profile and get a verified AI report in minutes.
No action needed from the candidate
First report in a few minutes
Every finding has a public source