ScreenFocus – keyboard focus follows the pointer across Mac displays

Hacker News

I have a multi-monitor setup and spend a lot of time typing in Codex and other AI agents. When I move to another monitor to run a shortcut, focus often stays in Codex or another text app, so the shortcut runs in the wrong place. I asked ChatGPT if there was a macOS setting or free app for this. It couldn't find one that did exactly what I wanted, so I asked it to prototype one. It built a working version in one go. I then used Codex to add sensible defaults, focus protection, an optional display border, packaging, documentation, an MPL 2.0 license, a logo, and screenshots. ScreenFocus is the result: keyboard focus follows the pointer across displays while global shortcuts keep working. This was my first native Mac app, and I used GPT-5.6 Sol with High reasoning. If you check out the README, help docs, and other Markdown files, you might be surprised by how complete it feels. I also added Launch at Login, full-border and corner-marker styles, custom colors, automatic pausing when only one monitor is connected, and a few other settings.

Visit product View on Hacker NewsJul 26, 2026

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Actual performance

3points

Did not reach leaderboard

Launch Intel predictions

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

97%97% 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

82%82% 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

39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

37%37% 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

23%23% 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

15%15% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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