Co

Control your Roku with only your hand gestures

Hacker News

Control your Roku with only your hand gestures

HandiRokuRemote is a Python application that lets you control your Roku device with nothing but hand gestures! Using Mediapipe's Hand Landmark Detector, it tracks your hand, identifies gestures, and sends commands to your Roku via its External Control Protocol. Here's a gif demo: https://github.com/BBelk/HandiRokuRemote/blob/main/images/re... Features: •Real-time hand tracking: Gestures like "thumbs up" increase volume or pointing for navigation. •Cross-device support: Works with any Roku device on the same local network. •Easy setup: Plug in a camera, and you’re ready to go. Check out the code on Github: https://github.com/BBelk/HandiRokuRemote Or download the .exe and try it out! PC only for now: https://github.com/BBelk/HandiRokuRemote/releases/tag/v1 Let me know what you think!

Visit product View on Hacker NewsDec 30, 2024

Actual performance

21points

2comments

Made the leaderboard

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

50%50% 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.

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

44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

43%43% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

40%40% 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, pipe, io · Missing: https docs, excited, just released

35%35% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

13%13% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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