Macscope – I decide to built a better Cmd-Tab replacement for macOS

Hacker News

Hi HN, Macscope is a new window manager and and app switcher for macOS built on the philosophy of enhancing, not replacing, your existing muscle memory. It works by augmenting the familiar Cmd+Tab workflow. A quick tap of your shortcut instantly switches between recent apps, just like you're used to. A slightly longer hold, however, opens the full Macscope interface where you can manage all your open windows and tabs. You can also use modifier shortcuts to enter Placement Modes, which let you instantly snap a selected window to the left/right/top/bottom/ half of your screen. Here are some of the key features: - Unified Search & Switch: A single interface to instantly find and switch to any window, browser tab (Safari, Chrome, Arc, etc.), or application just by typing. - Live Previews: See a real-time preview of what's inside each window so you know exactly where you're going. You can also disable previews for a more minimal experience. - Advanced Window Management: Go beyond just switching. Select multiple windows and arrange them into layouts like vertical/horizontal splits or grids. - Scopes: Save collections of app windows as a "Scope" and instantly restore that entire workspace later. It's ideal for quickly switching between different projects or tasks. It’s a native macOS app built with Swift and supports both Apple Silicon and Intel machines. Launch Offer for HN: There's a free trial with 250 actions. For the Hacker News community, I'm offering a 50% discount on the lifetime license. Website: https://macscope.app Discord Community: https://discord.gg/ehktEWr97K I'll be here all day to answer questions and would be grateful for any feedback. Thanks for checking it out!

Visit product View on Hacker NewsSep 26, 2025

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

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

82%82% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: apps · Missing: mobile apps, ios, personal

53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: reviews, interface · 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: exist, existing, hacker news · Missing: https docs, excited, just released

32%32% 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

12%12% 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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