Workout Warrior, a workout/fitness app for Android/iOS

Hacker News

So about a year ago, I was trying to find a workout app for android that would allow me to create and implement my own workout at the gym. I found many great apps with slick interfaces and neat programs, but none that would allow me to create my own program from scratch. If they did, I felt them to be unintuitive. Or they weren't free to use. So I decided to make one myself. I present to you : Workout Warrior! You can get it on Android/iOS here: https://workoutwarrior.app I used redux and redux-persist to manage and store state. This app is still in it's infancy but I would love some feedback! I will also be more than happy to answer any questions (: Thank you for reading and stay safe out there!

Visit product View on Hacker NewsMar 20, 2020

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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 · Strong signals: ios · Missing: supports, reddit linkedin, podcasting

87%87% 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: ios, apps, fitness · Missing: mobile apps, personal, entrepreneurs

62%62% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

36%36% 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: apps · Missing: mac, agents, macos

31%31% 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: arr · Missing: mrr, revenue, profit

22%22% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: intuitive, interface · Missing: plus, platform, reviews

20%20% predicted probability of success on AppSumo, 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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