Made my own app switcher because ⌘-Tab wasn't cutting it [video]

Hacker News

Meet Dory - A quick way to cycle through apps without moving your hand from the mouse or keyboard - and without needing to remember any shortcuts. Click your middle mouse button - or the right Command key if both hands are on the keyboard - and type the first letter of the app’s name. Find apps using the first letter, middle letters, acronyms, or similar names. If multiple apps share that letter, just keep tapping it to cycle through them. You can also press the middle mouse button and start typing the app’s name directly. Prefer tapping over holding? No problem. With Press Mode, you can open Dory’s sleek UI using a global shortcut. Dory works right out of the box - and over time, it learns which apps you use most and prioritizes them. No extra shortcuts. No setup. Nothing to remember. --- It's currently $3.99 on the Mac App Store (One-time purchase. No subscription.) Also, just a heads-up: the current price won't last much longer. If you've been thinking about getting Dory, now might be the perfect time.

Visit product View on Hacker NewsJul 30, 2025

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

91%91% 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.

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

52%52% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

38%38% 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 · Missing: plus, platform, intuitive

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: subscription · Missing: arr, mrr, revenue

19%19% 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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