RoomTuned: Fix your room acoustics from a single recording

Hey everyone ☺️ I built RoomTuned to solve a problem I kept running into: rooms sounding “off” but no clear way to understand why without going deep into acoustics. Most advice online is either: - too generic (“add panels, treat corners”), or - too technical (measurement mics, REW, impulse response graphs) There’s a gap between those two. So I asked: what’s the simplest possible input that still reveals how a room behaves? Turns out, a simple clap already contains a lot of information: - how long sound lingers (reverb) - how frequencies behave - how reflections affect clarity From there, the idea evolved into: 1- extract meaningful features from that recording 2- structure them 3- let an AI interpret them into plain-language insights + fixes The hardest part wasn’t the audio processing. It was making the output: - reliable enough - structured - and actually useful (not just “interesting”) So I focused heavily on turning the analysis into: - clear issues - specific placement advice - a prioritized plan No charts, no jargon. I’d really love feedback on: - Does the output feel actionable? - Is anything confusing or missing? - Would you trust this over traditional methods? Thanks for checking it out