An app that takes your money if you don't reach your goals

Hacker News

My wife and I just launched this app because we had so much fun with a fitness challenge we did we some friends recently where everyone put in $100 and defined their goals, then only the people who met their goals split the pot. It made us realize there's really no better motivator than money. It's better on mobile screens right now as we just designed for mobile screens for now. And we did manage to put it up on both app stores - it's low in the ranks but you should be able to search it by "Goalie challenges". We built it using the leanest tech stack - Ruby on Rails, server-side HTML (no JS), tailwindcss, then packaging it for iOS and Android using pwabuilder!

Visit product View on Hacker NewsApr 18, 2024

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Indie HackersFits the IH revenue-focused audience · Strong signals: wife, 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.

Product HuntOn track for Day 1 leaderboard · Strong signals: using · Missing: mac, agents, macos

63%63% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

49%49% predicted probability of success on AppSumo, 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

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 · Strong signals: ios, fitness · Missing: mobile apps, personal, entrepreneurs

41%41% 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

18%18% 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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