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Shortcut Express – My attempt to get the world using keyboard shortcuts

Hacker News

Shortcut Express – My attempt to get the world using keyboard shortcuts

I often see people reach for the mouse to select text or close a tab, even when they're already typing. Most know how to copy and paste with the keyboard, but use the mouse for almost everything else. I use the mouse plenty myself, but a few shortcuts have become habits. You don't need to learn that many to find them useful. Things like moving between words or selecting a whole line come up often and are mostly universal across apps and operating systems. I think most people just get used to doing things with the mouse. Learning shortcuts takes a bit of effort, and looking through a cheatsheet doesn't help much if you don't use what you've learned right away. I wanted to make something where you could practice them as you go. That's why I built Shortcut Express, a small desktop app that teaches shortcuts for everyday tasks. You practice them in a simulated text editor, browser and other familiar parts of an app. Completely free and open source. Available for macOS, Windows and Linux. https://github.com/chimit/shortcut-express/releases/latest

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2points
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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: mac, macos, apps · Missing: agents, agent, cursor
93%93% 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
65%65% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: open source · Missing: https docs, excited, just released
55%55% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Strong signals: apps, way · Missing: mobile apps, ios, personal
47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
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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