I

I built an offline time tracker for individuals with ADHD

Hacker News

I built an offline time tracker for individuals with ADHD

Task Jungle started as a hobby project and an opportunity for me to learn React while seeking job opportunities. The previous version of the app required a server and user registration, using Node.js, PostgreSQL, and React Query. However, I realized that this approach didn't align with the app's purpose. As a result, I transitioned it to an offline-first, free forever application to help people focus and achieve their goals. If you are interested in hiring a part-time junior Node.js/React developer, I'm here and eager to join your team! (i will graduate in January 2024), app: https://taskjungle.vercel.app/

Visit product View on Hacker NewsSep 18, 2023

Actual performance

4points

3comments

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

80%80% 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 · Strong signals: adhd, 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.

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

46%46% 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

40%40% 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

23%23% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

14%14% 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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