Godspeed, a fast, 100% keyboard oriented todo manager

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Hi everybody, today I'm launching a public beta for an app I've spent the last year working on: Godspeed, a todo manager for the Mac. My goal with Godspeed was to make every single action doable with just your keyboard, and to have those actions respond instantly. Like Superhuman for your todo list. (I'm so serious about keyboard accessibility that I built "hardcore mode", an option that completely disables the mouse to help break the habit of reaching for it.) I built Godspeed for myself and have been using it daily for about six months now. Before that I used org-mode in Emacs (hence the keyboard obsession) and OmniFocus. I loved how keyboard oriented org-mode was, but it didn't play well with non-text-based things like attachments. And it was slow. OmniFocus had much better native and cross-platform support, but had poor hotkey support. And it was slow. So Godspeed is my answer to the weak points of both. A few of my friends have started using it in the past couple months and their feedback has been incredibly valuable. So I've decided to open up access to more folks for a public beta. Access is free during the beta, but if all goes well I do eventually intend to offer subscription and one-time purchase options. Thanks for checking it out, I'd appreciate any feedback you have! https://godspeedapp.com/

Visit product View on Hacker NewsJun 22, 2023

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

89%89% 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: started · Missing: supports, reddit linkedin, podcasting

89%89% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: lua, ide, io · Missing: https docs, excited, just released

64%64% 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: platform · Missing: plus, intuitive, reviews

50%50% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

34%34% 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

20%20% 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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