DockFlow – Switch between multiple macOS Dock layouts instantly

Hacker News

I built DockFlow after constantly rearranging my macOS Dock when switching between coding, designing, or writing tasks. macOS only supports one Dock layout, and every context switch felt like wasted time and broken focus. DockFlow solves this by letting you save multiple Dock presets and switch between them instantly, all without complex setup or bloat. Key features: - Save and switch between multiple Dock configurations - Assign custom hotkeys to change layouts instantly - Add apps, folders, files, or links to your Dock - Insert visual spacers to group items - Lightweight and macOS-native (no permissions or custom dock) - Supports macOS 13.5 and above - Includes CLI tools and Shortcuts integration *Launch Price:* €4.99 Price increases to €9.99 on June 1 No subscriptions. One-time payment for lifetime access. Try it here: https://dockflow.appitstudio.com/ Happy to hear your feedback or questions! Let me know what you think Hope more people will find this app helpful.

Visit product View on Hacker NewsMay 22, 2025

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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 · Strong signals: supports · Missing: reddit linkedin, podcasting, created

88%88% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

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

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

34%34% 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

23%23% 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, subscription · Missing: mrr, revenue, profit

20%20% 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

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

Incorrect prediction on native model

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