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TimeKpr, a personal timesheet management app

Hacker News

TimeKpr, a personal timesheet management app

I recently launched TimeKpr. TimeKpr is a productivity, utility application which lets you store and track personal timesheet entries. I run a software development services business and need to keep a track of how long I worked on multiple different tasks. Till date, I have been either using an excel sheet or my calendar to keep track of how long I spent working on different tasks. Although these serve the job, I was always pinning for a better UI. Few days back, I started learning NextJS for an upcoming project. To gain the required practical experience, I developed TimeKpr and now it is GA, for everyone to use. Hoping that you find TimeKpr as useful as I do. -Preet

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Actual performance

3points
2comments
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting
83%83% 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.
TrustMRRFits verified-revenue profile · Strong signals: personal, way · Missing: mobile apps, ios, entrepreneurs
65%65% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
42%42% 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
26%26% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: tasks, using · Missing: mac, agents, macos
25%25% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
13%13% 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.

Correct prediction on native model

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