Gesture Composer for VisionOS [video]

Hacker News

I wanted to create some custom hand gestures for my Vision Pro App, but looking at how you had to do it in code seemed like a headache. I also wanted my gestures to be able to be shared between Apps I make. So, I made Gesture Composer, a VisionOS App that lets you create custom hand gestures that can be exported as a file. Paired with the GestureKit Package https://github.com/nthstate/GestureKit you can detect gestures in your own Apps - Gesture Packages contain a rules file for the gesture, and an animated USDZ of hands performing the gesture - The Gesture rule format is straight forward, so you can hack it if you need to tweak things - Gestures can contain multiple poses in a sequence - Multiple Gestures can be detected at a time - Optionally display a Virtual Hand Model, Joints and Bones You can also browse & download gestures people have created on the website: https://www.gesturecomposer.com

Visit product View on Hacker NewsMay 16, 2024

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Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting

74%74% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Strong signals: model, apps, code · Missing: mac, agents, macos

68%68% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: apps, video · Missing: mobile apps, ios, personal

49%49% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

45%45% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

33%33% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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