ClyrisAI surfaces deployable engineers, prepares interviews automatically, and compresses weeks of evaluation into minutes using real work.

Joined September 2025
3 Photos and videos
Pinned Tweet
12 Nov 2025
🚀 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
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ClyrisAI retweeted
May 28
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
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ClyrisAI retweeted
Jan 25
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.
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ClyrisAI retweeted
Jan 25
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?
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17 Dec 2025
See Clyris in action!
16 Dec 2025
Replying to @TikZSZ
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.
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ClyrisAI retweeted
16 Dec 2025
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 👇)
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4 Dec 2025
Screening 100 candidates manually = 20 hours of engineering time. Screening 100 candidates with ClyrisAI = 15 minutes. Get your best engineers back to building.
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3 Dec 2025
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.
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2 Dec 2025
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.
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1 Dec 2025
LeetCode tests memory. Resumes test creative writing. Neither tests engineering. It’s time to audit the code, not the proxy. #Hiring #Tech #AI
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12 Nov 2025
🚀 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
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14 Nov 2025
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
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13 Nov 2025
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
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12 Nov 2025
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
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