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iBalance
Your pocket handstand coach, powered by on-device AI
Record or upload a handstand video, get instant frame-by-frame analysis. iBalance overlays a 33-point skeleton and scores shoulders, hips, elbows, and balance against a clean line. Auto-detects your longest hold. All AI runs on-device — your footage never leaves your phone.
Hey Product Hunt 👋
I built iBalance because I wanted to learn a handstand and it was taking forever.
I started filming myself to figure out what I was doing wrong, and progress sped up a lot — suddenly I could see things I couldn't feel. It also saved me a bunch of money on classes and coaches. But scrubbing through clips frame by frame, eyeballing whether my shoulders were stacked or my hips were square, got old fast.
So I built the thing I wished existed: record or upload a clip, get a 33-point skeleton overlay, get scored on shoulders, hips, elbows, toes, and balance, find your longest stable hold automatically.
A few notes:
All pose analysis runs on-device using Apple's Vision framework — nothing uploads, your training footage stays on your phone.
This was my first project with motion tracking, so I learned a lot building it.
I use it almost every day myself — it's the fastest way I've found to self-coach.
Free 7-day trial, then $4.99/mo or $29.99 lifetime. Would love feedback from anyone who trains handstands, anyone building with on-device ML, or anyone who wants to poke at the edges and find bugs.
About iBalance on Product Hunt
“Your pocket handstand coach, powered by on-device AI”
iBalance was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #152 on the daily leaderboard. Record or upload a handstand video, get instant frame-by-frame analysis. iBalance overlays a 33-point skeleton and scores shoulders, hips, elbows, and balance against a clean line. Auto-detects your longest hold. All AI runs on-device — your footage never leaves your phone.
On the analytics side, iBalance competes within iOS, Health & Fitness and Artificial Intelligence — topics that collectively have 664.2k followers on Product Hunt. The dashboard above tracks how iBalance performed against the three products that launched closest to it on the same day.
Who hunted iBalance?
iBalance was hunted by Andris Danyi. 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.
For a complete overview of iBalance including community comment highlights and product details, visit the product overview.
Andris Danyi