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RoomTuned analyzes your room acoustics from a short clap recording and turns it into a clear, actionable treatment plan. Upload a 5–7s recording from your phone and RoomTuned analyzes it and tells you what’s wrong and how to fix it with actionable treatment recommendations. No equipment, no technical knowledge. Results in about a minute. It’s designed for creators, podcasters, home studios, and anyone who wants to improve their room sound without wasting money on treatment based on guesswork.
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
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About RoomTuned on Product Hunt
“Fix your room acoustics from a single recording”
RoomTuned was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #54 on the daily leaderboard. RoomTuned analyzes your room acoustics from a short clap recording and turns it into a clear, actionable treatment plan. Upload a 5–7s recording from your phone and RoomTuned analyzes it and tells you what’s wrong and how to fix it with actionable treatment recommendations. No equipment, no technical knowledge. Results in about a minute. It’s designed for creators, podcasters, home studios, and anyone who wants to improve their room sound without wasting money on treatment based on guesswork.
RoomTuned was featured in Music (53.4k followers), Artificial Intelligence (468.6k followers) and Audio (2k followers) on Product Hunt. Together, these topics include over 105.6k products, making this a competitive space to launch in.
Who hunted RoomTuned?
RoomTuned was hunted by Ahmed Lemine. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Ahmed Lemine