ShiftPlus – Save and restore your macOS workspace in one click

Hacker News

Hi HN, I built ShiftPlus, a macOS app that lets you save and restore your entire workspace in one click. I made this because I kept losing focus every day reopening the same apps, browser profiles, folders, and rearranging windows — especially when switching between dev work, meetings, and personal time. With ShiftPlus, you can: - Save your current workspace as a profile - Launch apps, folders, and browser profiles together - Restore window layouts across multiple monitors - Switch instantly between dev, work, and chill setups It’s a native macOS app, built mainly for developers and people who care about a clean, repeatable workflow. Website: https://shiftplus.app/ I’d really appreciate any feedback, criticism, or ideas for improvement. Thanks!

Visit product View on Hacker NewsJan 30, 2026

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

94%94% 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

74%74% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

32%32% 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 · Missing: https docs, excited, just released

29%29% 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 · Strong signals: arr · Missing: mrr, revenue, profit

27%27% 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.

Correct prediction on native model

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