Web front end for Task Warrior

Hacker News

Hey Hacker News! After looking for a good solution for task management, I ended up on Task Warrior, though it took me a while to get used to it, now It's my core task management tool (besides my pen and paper) As someone with ADHD, the issue was, I need the tasks visible, and normally it isn't visible, so I used VIT, even though it checks a lot of boxes for me, it felt slow. So I decided to make my own (besides many of my other side projects, that are waiting to be done). But this time, I pushed myself to get a minimal viable product out. My key targets were, * display my task information, as many as possible, without being an eyesore * keyboard shortcuts * responsive I think the current version, check these boxes, at least for me. There's a lot to done, but I think it's kinda usable. It's still heavily a work in progress, so don't kill me! Contributions are welcome (sorry for the not so clean code) As someone who sole earning comes from hourly projects, It's difficult for me to allocate enough time for large personal projects. So I may not be responsive initially, but will try my best to reply

Visit product View on Hacker NewsJun 25, 2024

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Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

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

76%76% 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: new, tasks, code · Missing: mac, agents, macos

71%71% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: adhd, hacker news, ide · Missing: https docs, excited, just released

62%62% 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: personal · Missing: mobile apps, ios, entrepreneurs

36%36% 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

24%24% 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

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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