🚀 Welcome to ClyrisAI.
Our mission is simple: fix technical hiring.
We’re replacing weak proxies like resumes and puzzles with evidence-based analysis of real code so you can hire based on skill, not guesswork.
#Hiring#DevTools#AI
Introducing gitresolve
turn candidate portfolios, resumes, LinkedIn exports and ATS CSV dumps into actual GitHub/GitLab/Bitbucket repos contributions automatically
Built after repeatedly seeing teams spend hours manually opening tabs trying to figure out what candidates
Evaluation is the real bottleneck of the AI era.
Resumes → noise
Portfolios → noise
Take-homes → noise
You can brute-force signal with hard interviews today.
But the problem just moves downstream.
Decision context becomes infrastructure.
Hiring.
Code review.
Agent oversight.
Compliance.
We’re building toward this at @ClyrisAI , but this is bigger than hiring.
clyrisai.com
How are you thinking about evaluation in an AI-native engineering world?
This level of deep analysis on a single project is just the beginning.
When you have multiple candidates, our platform can instantly re-rank your entire pool based on the specific role you're hiring for.
Watch this: A candidate pool is re-ranked for "Backend" vs. "Frontend" in one click.
We had Clyris conduct a CTO-level architectural review of the @shadcn source code.
Not a linter, not a summary. A full-diligence report.
It found the specific architectural trade-offs, graded its production readiness, and generated an interview plan to hire its creator.
Here’s the alpha. (thread 👇)
Screening 100 candidates manually = 20 hours of engineering time.
Screening 100 candidates with ClyrisAI = 15 minutes.
Get your best engineers back to building.
Stop asking generic interview questions.
Ask about the specific trade-offs they made in their actual code.
ClyrisAI generates your interview script based on deep architectural analysis.
Generative AI makes it easy to write code.
It doesn't make it easy to architect systems.
ClyrisAI analyzes project repos to find the difference between a copy-paste job and a production-ready architecture.
Focus on the architects.
🚀 Welcome to ClyrisAI.
Our mission is simple: fix technical hiring.
We’re replacing weak proxies like resumes and puzzles with evidence-based analysis of real code so you can hire based on skill, not guesswork.
#Hiring#DevTools#AI
The ultimate payoff: evidence-based interview questions grounded in real code.
Every question traces back to a candidate’s own decisions; architecture, trade-offs, and style.
This is how you turn interviews into proof, not promises.
#TechnicalInterview#Hiring#AIRecruiting
It’s not just a score; it’s a story.
The ClyrisAI Scorecard goes deeper analyzing architecture, clarity, and judgment across real code.
In seconds, you get an executive summary, strengths, and visuals that reveal how an engineer actually builds
#TechHiring#DevTools#Recruiting
Hiring engineers is broken. We're still using outdated signals.
In the age of generative AI, LeetCode scores and resume keywords are no longer proof of skill. They're proof of good prompting.
It’s time to evaluate the work, not the words.
#TechHiring#FutureOfWork#AI