Next-gen AI sourcing and screening CareerTwin is an AI intelligence layer for technical hiring. It helps startups, recruiters, and companies cut through resume noise by analyzing candidate proof, role fit, risk signals, fit scores, and interview probes before technical rounds. Instead of relying only on resumes or keyword matching, CareerTwin helps hiring teams understand who is worth interviewing, why, and what to ask next, for faster hiring.
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📌Hey Product Hunt 👋
We built CareerTwin because technical hiring is getting noisier in the AI era.
Applying to jobs is easier than ever, but so is polishing resumes, exaggerating project claims, and creating profiles that look stronger than the actual proof behind them.
CareerTwin helps startups, recruiters, and hiring teams evaluate candidate proof before technical interviews. It turns resumes, role requirements, and candidate signals into hiring intelligence: fit score, strengths, concerns, risk signals, and interview probes.
The goal is simple: help teams decide who is worth interviewing, why, and what to ask next.
We’re starting with technical hiring for startups and recruiters, and we’d love feedback from founders, recruiters, CTOs, and hiring teams.
Would love to hear:
1. What hiring signal do you trust most today?
2. Where do you see the biggest gap in candidate screening?
3. What would make this useful enough for your team to try?
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