OS Yamato – A Wabi-Sabi OS Just Got an Upgrade

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OS Yamato is a poetic, minimalist OS built on the idea of impermanence — inspired by the Japanese concept of wabi-sabi. Now available in Spanish! Plus: New chat reactions (long-press to react with one emoji, gentle and expressive) OS Yamato lets photos, notes, and messages fade naturally if untouched for a year — no hoarding, no anxiety. A cherry blossom fades, not because it's broken, but because it's alive. Recent Highlights: - Spanish language support added (now available in 4 languages) - Chat reaction feature added (1 emoji per message, replaceable) - Seasonal message effects (e.g. cherry blossoms, rain, wind) - Auto-fade system for unused data (starts fading around day 330) - "Wind Messages": send letters to the future that arrive months later Read more about the philosophy: https://krispitech.com/os-yamato-and-the-art-of-gentle-tech-... GitHub (open source): https://github.com/osyamato/os-yamato Official page: https://hanaco875.com Letting go can be gentle. Feedback welcome.

Visit product View on Hacker NewsJul 22, 2025

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

77%77% 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: new, notes, open · Missing: mac, agents, macos

69%69% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

61%61% 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: month · Missing: mobile apps, ios, personal

46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency

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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