Panda – Minimalist Meditation Timer App

Hacker News

Hey HN, I’m excited to introduce Panda Meditation Timer, a minimalist, distraction free timer designed to help you focus on your meditation practice. After struggling with overly complicated meditation apps that added unnecessary features, I decided to create Panda, a simple tool that helps you set your meditation session with ease and stay present during your practice. It’s all about simplicity and mindfulness, without the clutter. Features: Simple & Intuitive Design: No overwhelming features, just what you need. Customizable Timers: Set your own durations for meditation or select from presets. Gentle Sounds: Bell and Mantra modes. Cross-Platform: Available on both iOS and Android, so you can practice wherever you go. Reminders: Daily reminders so you do not miss a session. Panda is perfect for beginners and experienced who want a tool that helps them focus on their practice, not on setting up complex apps. Links: iOS (App Store): https://apps.apple.com/us/app/panda-meditation-timer/id67578... Android (Play Store): https://play.google.com/store/apps/details?id=com.chromiumon... Landing Page: https://www.chromiumone.com/apps/en-US/meditation-timer-pand... Quick preview: https://youtube.com/shorts/KnYKn9zIQhA?feature=share Feel free to check it out and let me know what you think! I’d love to hear your thoughts, feedback, or suggestions for future updates.

Visit product View on Hacker NewsJan 26, 2026

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

89%89% 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.

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

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

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

48%48% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: apple, google, apps · Missing: mac, agents, macos

35%35% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

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

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: introduce · 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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