A simple app that makes it easier to complete a task

Hacker News

This is how it works: often, how easy it is for us to complete a task depends on the wording. For example, instead of writing “start reading a book tomorrow,” you should write, “reserve time from 11:00 to 11:30 to read a book.” Another approach is to break the task into the simplest steps, which are easy to complete and make it easier to accomplish the entire task. For example, instead of setting a task on your calendar for tomorrow to “go to the gym,” you should set a task for tonight to “pack a sports bag and leave it by the door.” This small web app helps you set and complete simple steps until the task is done. PS. I submitted it here a week ago, but it turned out that when I deployed it from my local machine to a remote server, it stopped working properly, making it impossible to try. It is still far from perfect, but I have fixed the bugs.

Visit product View on Hacker NewsMay 15, 2024

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Actual performance

2points

Did not reach leaderboard

Launch Intel predictions

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

67%67% 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.

Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released

53%53% 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

41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: mac · Missing: agents, macos, agent

41%41% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

30%30% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

22%22% 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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