MiddleViewer

MiddleViewer

AI interview assistant for writing interview feedbacks

4 followers

MiddleViewer is your real-time interview wingman. Unlike generic AI wrappers, it doesn't just solve code—it analyzes your performance. 🎯 We track coding speed, communication clarity, and project depth live. 📊 Privacy First: All processing happens locally on your Mac. Your audio and data never leave your device. 🔒 Stop spending long hours on writing feedbacks or note taking, let MiddleViewer do it for you. Native macOS. Apple Silicon optimized. ⚡
MiddleViewer gallery image
MiddleViewer gallery image
MiddleViewer gallery image
Free Options
Launch Team
Famulor AI
Famulor AI
One agent, all channels: phone, web & WhatsApp AI
Promoted

What do you think? …

Madhav Gaba
Maker
📌
MiddleViewer was born from a simple need: to make technical interviews less stressful and more focused on meaningful conversation. We believe that interviewers should be present in the moment, not distracted by note-taking or worrying about final write-up.
Madhav Gaba

Hi Product Hunt! 👋

I’m Madhav, the maker of MiddleViewer.

I built this because conducting technical interviews is exhausting. I found myself constantly torn between engaging with the candidate and taking detailed notes.

If I focused on the conversation, my written feedback was vague. If I focused on typing notes, the candidate felt ignored.

I built MiddleViewer to be the "AI Scribe" for interviewers. It analyzes the session in real-time to help you write better feedback faster, without zoning out.

MiddleViewer helps you by:

  1. Automating Signal Capture: It tracks coding execution, communication clarity, thought process and problem-solving patterns automatically.

  2. Generating Structured Feedback: It drafts objective, evidence-backed reviews instantly (saving you 20+ mins per candidate).

  3. Ensuring Privacy: It runs 100% locally on your Mac. No candidate audio or sensitive code ever leaves your machine—crucial for compliance.

I’m live right now and would love to hear from fellow hiring managers:

  • Does this fit into your current scorecard workflow?

  • What specific signals do you find hardest to track manually?

Thanks for checking it out! 🚀