Paywall Removed – SandMind – Free iOS App

Hacker News

this update completely removes the paywall for a fully free experience. now you can track your emotions, discover patterns, and monitor anxiety levels with ease. depression tracking is coming soon, too! your data stays private and on your device—nothing is tracked except for a simple notification that lets me know when someone creates a canvas. it’s fully anonymous and just gives me motivation, knowing the app is being used. i removed the paywall because this project was always meant to help people, not make money. mental health tools should be free, and SandMind will stay that way. roadmap: - more health screenings (like phq-9) - apple health support - local smart notifications - considering open-sourcing the project - more… i’m open to any feedback or suggestions thanks for your support! https://app.sandmind.art/sandmind-ios

Visit product View on Hacker NewsSep 25, 2024

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best fitHighest predicted score across all platforms for this description.

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

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

Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

58%58% 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 HuntOn track for Day 1 leaderboard · Strong signals: apple, open · Missing: mac, agents, macos

50%50% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

41%41% 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 · Strong signals: make money, smart · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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