I

I love FitnessSF, but I hate their mobile app

Hacker News

I love FitnessSF, but I hate their mobile app

In order to enter my gym, FitnessSF, I must load up their mobile app to open a QR code and scan in. Their app takes roughly 10,000 years to load so I stand like an idiot at the front desk, turning the app off and on again to just get the QR code. I wrote a little bit of javascript that hits the FitnessSF API and generates a Mobile Wallet Pass. I also hard coded all the fitness SF lat/long locations, so the mobile wallet will pop up when you're nearby. I hope this restores a little bit of sanity in someone else's life. https://fitnesswallet.app/

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
72%72% 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: code, open · Missing: mac, agents, macos
53%53% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: 000, io · Missing: https docs, excited, just released
52%52% 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: fitness · Missing: mobile apps, ios, personal
44%44% 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
32%32% 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
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
2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

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