ShiftPlus – Manage Browser Profiles and Window Layouts on macOS (Beta)

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Hi HN, I just released the Beta of ShiftPlus, a macOS app I’ve been building to help power users, developers, and productivity enthusiasts manage their workflows more effectively. The idea came from constantly juggling multiple browser profiles, apps, and windows for different projects (work, personal, side projects). I wanted a faster way to switch between them without wasting time rearranging windows and logging in/out. What it does: Manage multiple browser profiles (Chrome, Safari, Arc, Brave, Edge, Opera, Vivaldi) Custom icons, colors, and labels for easy identification ⌨ Global hotkeys and quick switching between profiles Window arrangement presets (apps open exactly where you want them) Import/Export profiles for easy setup across machines Upcoming features: - Raycast support (coming soon) - Safari & Dia browser profile support - Multi-monitor window management - Improved Import/Export of profiles Special Beta offer: I’m offering a 50% discount code: G2MJU5MW for early adopters. Why I’m posting here: I’d love feedback from the HN community on: Does this solve a real workflow pain point for you? What features would make it indispensable in your setup? Any UX/UI feedback on making switching feel even smoother? Demo: https://www.youtube.com/watch?v=hzJw9XIodrk Download: https://shiftplus.app/ Thanks for reading — and also thanks to everyone who gave me support on my earlier demo video!

Visit product View on Hacker NewsAug 22, 2025

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

83%83% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

83%83% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

33%33% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

27%27% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

15%15% 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.

Correct prediction on native model

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