Hi Product Hunt I’m Gage, the developer behind Remend. I started building Remend because continuing physical rehabilitation can become difficult when appointments are limited by insurance, transportation, cost, or location. I wanted to explore whether the device people already carry could make regular movement practice easier to access at home. Remend uses on-device computer vision to follow exercises involving the face, hands, upper body, and lower body. Instead of measuring everyone against one universal ideal, it calibrates supported activities around the range each person can comfortably demonstrate. Privacy shaped the technical approach from the beginning. Camera inference happens directly on the iPhone or iPad, and Remend does not store raw video, camera frames, or raw movement landmarks by default. Optional local AI can help explain personal activity and organize routines without sending that information to a remote model. I started building Remend during OpenAI's Build Week event and is still an early beta and is not a replacement for physical therapy or medical care. I’m interested in learning where the experience feels genuinely helpful, where it remains confusing, and what would make it more accessible. You can try it free through TestFlight. I’d be grateful for any honest feedback or questions.

Remend

Accessible, personalized physical rehab companion app

Accessible, personalized physical rehab companion app