Unwind – A Mindful Breathing App for Relaxation and Better Sleep

Hacker News

Hi HN! I’m excited to share Unwind with you, an app designed to help people reduce stress, ease anxiety, and sleep better through deep breathing exercises. It includes features like ambient sounds, progress tracking, mood journaling, and a variety of breathing techniques. I built Unwind to offer a quick way to pause, reset, and calm the mind in under 5 minutes. I’m especially focused on a calming, delightful, and beautiful UI to make the experience as seamless as possible. One of the key features Unwind has is that the watchOS app shows the change in heart rate after you finish a breathing exercise. It's a great way to validate the efficacy of breathing exercises. For me, the sleep breathing exercise typically brings my heart rate down to 60 from 70-80. Would love any feedback, questions, or suggestions you may have. Thanks for checking it out!

Visit product View on Hacker NewsOct 16, 2024

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

91%91% 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 · Missing: mac, agents, macos

68%68% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

52%52% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: way · Missing: mobile apps, ios, personal

51%51% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

38%38% 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

13%13% 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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