ReVo is an experiment around a simple idea:
feedback works better when people can speak instead of type.
It’s a voice-first feedback platform that records audio reviews and turns them into structured, actionable insights using AI.
Less friction for users. More signal for builders.
Why I built it
Written feedback is often:
- short, rushed, or incomplete
- skipped entirely because it takes effort
- hard to analyze at scale
Voice lowers that barrier. People explain more, add nuance, and think out loud.
ReVo is my attempt to capture that richness — without turning it into noise.
What it does
- Voice recording
Users leave feedback by speaking. No forms. No typing. Just a few seconds of audio. - AI-powered analysis
Automatic transcription, sentiment detection, and extraction of issues, suggestions, and anomalies. - Completeness verification
Real-time checks help ensure feedback actually covers what matters, not just a single complaint. - Automated backlog
Detected issues and ideas are organized into a structured backlog, ready to be reviewed or acted on. - Easy integration
Use a dedicated link, embed a widget, or integrate via SDK — designed to take minutes, not days. - Scalable by design
Built to work for indie builders first, but structured to scale as usage grows.
Design principles
- Voice-first, not voice-only
- Reduce friction before adding features
- AI as an assistant, not a black box
- Insights > raw data
ReVo isn’t about collecting more feedback.
It’s about collecting better feedback.
Currently in closed beta.
Still evolving — but already teaching me a lot about how people actually share opinions when you let them speak.