Built a tool that analyzes room acoustics from a simple clap recording

After a lot of evenings/weekends building and testing, I finally launched a side project I’ve been working on: RoomTuned.

It analyzes room acoustics from a simple phone recording (clap or balloon pop) and generates a report with:

• room score
• detected acoustic issues
• clarity/reverb analysis
• treatment recommendations

The idea came from noticing how many creators (podcasters, YouTubers, musicians, home studio owners, even people constantly on Zoom/Meet calls) struggle with room sound issues like:

• echo/reverb
• muddiness
• poor clarity
• boxy sound
• weird bass buildup

Improving room acoustics usually involves a lot of guesswork unless you go deep into measurement mics, REW, impulse responses, and other technical tools.

So I wanted to explore:
“How far can we simplify acoustic analysis while still keeping the output genuinely useful?”

Built with Django, PostgreSQL, Redis/Celery, OpenAI Responses API, TailwindCSS (daisyUI), and a bunch of audio feature extraction + validation logic.

Looking for feedback more than anything right now, even just thoughts on the landing page, idea, or whether you’d personally use something like this.

roomtuned.com