EasyInterview runs the first technical round for you. A live AI interviewer speaks with the candidate over voice, asks follow-up questions based on what they actually say rather than a fixed script, and scores the answers against evidence pulled from the transcript instead of a gut feel.
Every interview comes back with a recording, a full transcript, and a per-signal breakdown, so your engineers only spend time on the candidates worth meeting. Built for teams hiring engineers at volume who cannot staff every screening call.
Live voice AI interviewer that asks real follow-up questions
Evidence-scored results tied back to quotes from the transcript
Full recording and transcript for every interview
Adaptive questioning instead of a fixed script, so answers are hard to fake
Coding, system design and resume-grilling rounds
Shareable reports the hiring team can review async
Replace the first-round phone screen when you have more applicants than interviewers
Screen a large applicant pool in a day instead of over two weeks
Give every applicant the same interview, so comparisons are fair
Verify what a resume claims with a live technical conversation
Hand your engineers a shortlist with transcripts and evidence attached

I kept watching teams lose whole weeks to first-round technical screens and then reject most of the people they spoke to anyway. So we built the round itself rather than more scheduling around it: a live AI voice interviewer that follows up on what the candidate actually says, and a report that quotes the transcript behind every score instead of handing you a bare number. Would love feedback from anyone who runs technical hiring, especially on where you think an AI screen should stop and a human should take over.
EasyInterview’s AI voice screener adapts to candidates, scores with transcript evidence, and shares recordings for async review. It saves engineering hours, ensures fairness, and handles bulk hiring efficiently. While the cheat‑proof claim needs real testing, the transparency and consistency alone make it a worthy trial for growing teams.
EasyInterview’s AI voice screener adapts to candidates, scores with transcript evidence, and shares recordings for async review. It saves engineering hours, ensures fairness, and handles bulk hiring efficiently. While the cheat‑proof claim needs real testing, the transparency and consistency alone make it a worthy trial for growing teams.
EasyInterview’s AI voice screener adapts to candidates, scores with transcript evidence, and shares recordings for async review. It saves engineering hours, ensures fairness, and handles bulk hiring efficiently. While the cheat‑proof claim needs real testing, the transparency and consistency alone make it a worthy trial for growing teams.
Really like the idea of scoring candidates against actual evidence from the transcript instead of just giving them an AI-generated score. The adaptive follow-ups are especially interesting for technical interviews. Would love to see some real-world results on how closely the AI assessments correlate with human interviewers. Nice launch! 🚀

I kept watching teams lose whole weeks to first-round technical screens and then reject most of the people they spoke to anyway. So we built the round itself rather than more scheduling around it: a live AI voice interviewer that follows up on what the candidate actually says, and a report that quotes the transcript behind every score instead of handing you a bare number. Would love feedback from anyone who runs technical hiring, especially on where you think an AI screen should stop and a human should take over.
EasyInterview’s AI voice screener adapts to candidates, scores with transcript evidence, and shares recordings for async review. It saves engineering hours, ensures fairness, and handles bulk hiring efficiently. While the cheat‑proof claim needs real testing, the transparency and consistency alone make it a worthy trial for growing teams.
EasyInterview’s AI voice screener adapts to candidates, scores with transcript evidence, and shares recordings for async review. It saves engineering hours, ensures fairness, and handles bulk hiring efficiently. While the cheat‑proof claim needs real testing, the transparency and consistency alone make it a worthy trial for growing teams.
EasyInterview’s AI voice screener adapts to candidates, scores with transcript evidence, and shares recordings for async review. It saves engineering hours, ensures fairness, and handles bulk hiring efficiently. While the cheat‑proof claim needs real testing, the transparency and consistency alone make it a worthy trial for growing teams.
Really like the idea of scoring candidates against actual evidence from the transcript instead of just giving them an AI-generated score. The adaptive follow-ups are especially interesting for technical interviews. Would love to see some real-world results on how closely the AI assessments correlate with human interviewers. Nice launch! 🚀
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