Haptic Timer Made for Fitness

Hacker News

Hey guys, I made this free haptic rest timer for Apple Watch and would really appreciate your feedback! Main idea: use haptics to notify you when your rest is up and it’s time to go for another set. It functions similar to a timer. However, a traditional timer continues to ring until the user presses the stop button which can be quite annoying when done frequently. Instead, this app simply notifies through haptic feedback when the break is over. User input is minimal. My goal is to reduce gadget interactions between sets and make the workout experience more distraction-free and enjoyable. Would love to hear your thoughts! Thank you Link to App Store: https://apps.apple.com/en/app/haptic-fitness-timer/id1623382...

Visit product View on Hacker NewsMay 12, 2022

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

85%85% 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: apple, apps, user · Missing: mac, agents, macos

61%61% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: apps, fitness · 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

35%35% 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

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

nativeThis product was originally launched on this platform.

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

15%15% 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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