How I’m using AI to solve the 'Black Box' of interview feedback (Seeking 50 Beta Testers)

Hi IH community,

I’m working on InterviewNexus, a tool designed to solve the "black box" of interview feedback. Most people leave an interview feeling "bad" but don't know if it was their technical answers or their delivery.

Our AI analyzes a user's Resume + JD to run a live mock session (voice/video) and provides a structured performance audit on Technical Depth, Communication, and JD-Alignment.

I’m at the stage where I need raw data. I need 50-100 interviews to see where the AI scoring is hitting the mark and where it's missing.

The Ask: If you are currently interviewing, please run a session. It’s free, and you’ll get a full breakdown of your performance. If you aren't interviewing, I'd still love a "teardown" of the user experience!

The Tool: https://www.interviewnexus.ai/practice

I’m also happy to answer any questions about the tech stack (AI/WebRTC) if other builders are curious!