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Godspeed is a fast, 100% keyboard oriented todo app for Mac

Hacker News

Godspeed is a fast, 100% keyboard oriented todo app for Mac

Hi everybody, today I'm launching version 1.0 of Godspeed, a todo manager built with two priorities in mind: speed and 100% keyboard orientation. Every action in Godspeed can be done from your keyboard and will respond instantly. It's like Superhuman for your todo list. Godspeed has everything you expect in a todo manager like shared lists, labels, smart lists, boolean search operators, and cloud sync. If you're already a user of an app like Todoist or OmniFocus you should be able find everything you need in Godspeed. I think the most appealing thing to most HN users would be the keyboard orientation. Literally every single action in Godspeed is doable from your keyboard. I'm so serious about this that I built "hardcore mode" to completely disable the mouse - this both helps you break the habit of reaching for your mouse, and keeps us honest about 100% hotkey support. You can fully customize the hotkeys, but if you're into Vim or Emacs you'll feel right at home by default. We've got a 2 week free trial with no limitations, and then offer subscription or one-time purchase options. Thanks for checking out Godspeed, I'd love to hear your feedback! https://godspeedapp.com/

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Actual performance

328points
223comments
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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: mac, user, single · Missing: agents, macos, agent
83%83% 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
77%77% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io · 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.
AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive
47%47% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: users · Missing: mobile apps, ios, personal
42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: subscription · Missing: arr, mrr, revenue
18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: smart · 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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