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Open-source hands-free mouse control with Tracky Mouse

Hacker News

Open-source hands-free mouse control with Tracky Mouse

Tracky Mouse lets you control your whole computer with just a webcam. It supports different modes to click, including dwell clicking and facial gestures. It can even provide three button mouse functionality, using closed eyes as modifiers to change what type of click is performed when opening your mouth. It also supports different modes to move the mouse, including Direct, Joystick style, and D-pad style modes. It's free (and ad-free) and will always will be. I want to make this the best accessibility software that I can. I have big plans already, but I'm always open to ideas. Downloads and an in-browser demo can be found on the website: https://trackymouse.js.org/

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Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: supports, including · Missing: reddit linkedin, podcasting, created
82%82% 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: computer, using, open · Missing: mac, agents, macos
69%69% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: way · Missing: mobile apps, ios, personal
56%56% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io, including · Missing: https docs, excited, just released
50%50% 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
28%28% 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
14%14% 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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