Colrnx

Stop screening. Start hiring.

Colrnx replaces your entire hiring pipeline with an AI agent that sources, scores, and surfaces the right engineers. It is faster and better than any process you've run before.

Colrnx Pipeline
A
P
M
#CandidateRPScoreStatus
1
A
Alex Chen
Senior Backend Engineer · Bangalore, India
34156
94
2
P
Priya Sharma
Full Stack Developer · Mumbai, India
2889
91
3
M
Marcus Johnson
Staff Engineer · Berlin, Germany
42203
89
4
D
Dylan Babbs
Frontend Engineer · Toronto, Canada
1967
84
5
S
Sarah Kim
Backend Engineer · Seoul, South Korea
2294
82
6
J
James Wilson
DevOps Engineer · London, UK
1545
80
7
A
Ana Rodriguez
Data Engineer · Mexico City, Mexico
1872
78

Trusted by fast-moving teams

stripe
Shopify
stripe
Shopify
stripe
Shopify

Colrnx sources01 hidden talent, scores02 their real work, and surfaces03 the best engineers before anyone else.

01

Source from real signals

Our AI agent scans GitHub, building in public, and real code contributions — not resumes. Hidden builders in tier-2 cities finally get found.

Scanning 12,400 repos...
github.com/alexchen+24 commits
github.com/priyasharma+18 commits
github.com/marcusj+31 commits
Found 3 new builders this hour
How it works

From chat to hired.

Colrnx Sandbox v3.0
HR
01

Describe in Plain English

No complex forms or HR template boilerplate. Type exactly who you need, what the stack is, and what good looks like. Colrnx parses the context and configures the pipeline.

Natural language parsing
Stack discovery
Job description drafting
Custom scoring profiles
02

Source from Real Signals

Our agent scans public repositories, PR contributions, and active projects rather than dry resume keywords. Hidden talent in tier-2 cities is automatically surfaced.

GitHub-deep codebase scan
PR contribution evaluation
Verified commit frequency
Pedigree-free discovery
03

Verify with Async Challenges

Candidates complete a real-world coding project relevant to your exact stack on their own time. No live grilling by anxious interviewers. Code is tested and graded automatically.

Project-based challenges
Automatic test execution
Anti-cheat metrics
Completed in under 4 hours
04

AI Credibility Scoring

Scores are calculated across four main pillars: Code quality, contribution consistency, stack fit, and challenge relevance. Clear, unbiased evaluation.

Modular architecture analysis
Readability checks
Actual performance metrics
Visual dashboard insights
05

Curated Slack Shortlists

The top 3-5 candidates are delivered directly to your team's Slack or email. Check their code, read the AI's notes, and schedule the final interview in one click.

Slack & email notifications
Candidate scorecards
Interview prep notes
1-click outreach
What teams say

Trusted in production, not just demos

S
ScaleUp
Every hour spent screening resumes is time away from building the product. Colrnx gave us back 40 hours per hire and the candidates were actually worth interviewing.
SC
Sarah Chen
VP of Engineering, ScaleUp Co
Colrnx

Hire without hassle.

Colrnx launches in closed beta soon. Join the waitlist and be the first to run an AI-native hiring pipeline.