A tool for motion-capturing 3D characters using a VR headset

Hacker News

Hi everyone! I'm one of the authors of this project. The demo you see here is powered by a tool that I recently helped develop and open-source at Shopify called handy. You can find the repo here: https://github.com/Shopify/handy Most people don't realize that VR headsets have become really capable motion capture platforms, so we decided to release this tool to bring motion capture into the hands of everyone who owns a headset. With a cheap Quest 2 you can capture your hands using the headset's hand-tracking feature and your head. With an expensive Quest Pro you could capture your facial expressions using the headset's eye and face-tracking features. Thanks for checking this project out! I'm here to answer questions if you have any.

Visit product View on Hacker NewsJan 17, 2023

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Product HuntOn track for Day 1 leaderboard · Strong signals: using, open · Missing: mac, agents, macos

78%78% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

75%75% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal

51%51% 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

43%43% 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 · Strong signals: platform · Missing: plus, intuitive, reviews

37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

11%11% 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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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