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I Gamified Task Management to Make Getting Things Done Fun

Hacker News

I Gamified Task Management to Make Getting Things Done Fun

I’m excited to share my first SaaS project, TaskRocky! It’s a lightweight task management app with a twist—simple, straightforward, and designed to keep you engaged through gamification. TaskRocky was built for people who, like me, have found traditional tools to be overloaded with features, making them harder to use. With TaskRocky, the focus is on staying productive without getting bogged down by unnecessary options. I’ve put a lot into making it clean and enjoyable, and every feature is chosen carefully to keep it clutter-free.

Visit productView on Hacker NewsOct 28, 2024
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Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
79%79% 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 NewsMay not resonate with HN audience · Strong signals: excited, io · Missing: https docs, just released, exist
46%46% 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 · Missing: mobile apps, ios, personal
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
34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
33%33% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: saas · Missing: arr, mrr, revenue
17%17% 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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