Mo

MouseTray – on-the-fly speed adjustment for any old office mouse

Hacker News

MouseTray – on-the-fly speed adjustment for any old office mouse

Another one of my little AutoIt utility, decided to polish it up into a more presentable form. I frequently use MSPaint when brainstorming or deriving equations, and had become quite proficient at handwriting using the mouse. I reduce the mouse speed whenever I need to make small-ish annotations without zooming in, then switch back to normal settings for interacting with GUI. Many fancy mice have "on-the-fly" adjustments shortcuts that only works with their proprietary driver, and only for their specific devices. If I'm at a workstation with a generic office mouse then it's very cumbersome to constantly go back and forth between Control Panel and the application when switching between drawing and navigation. So I wrote this little "Volume Control"-esq tray app to make it so that I could just hold down CapsLock and move the scrollwheel to adjust the mouse speed, and click the middle button to reset when I'm done.

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Actual performance

2points
Did not reach leaderboard

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
78%78% 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: using · Missing: mac, agents, macos
64%64% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal
52%52% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
49%49% predicted probability of success on AppSumo, 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.
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
2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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