A tiny macOS app that stops your Dock from jumping between monitors

Hacker News

Not much to say here. It's been driving me nuts for years, so I built it with some help from Claude. I still can't believe the operating system doesn't support this natively. How does it work? It detects when your mouse is at the very bottom of the screen and moves it back up a few pixels. That's it. MacOS's dock-jumping behavior is triggered when your mouse is at the bottom edge of the screen. Moving the cursor back up 2-3 pixels prevents the jump. Free and open-source, of course. Wouldn't charge for something so trivial. Enjoy!

Visit product View on Hacker NewsMar 26, 2026

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

98%98% 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.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

65%65% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

63%63% 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.

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

24%24% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

21%21% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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