Kibun (気分) – a decentralized status.cafe alternative I made

Hacker News

I’ve been using status.cafe for a while and I love it, but if there is one thing that has been bugging me is that there’s no way to export all the status updates I’ve posted over the years. If the site goes down someday, that whole history is just gone. With that thought bugging me, I built kibun.social, a minimal status.cafe-like service built on top of atmosphere, the same open social protocol used by Bluesky. Because it’s decentralized, every status you post is stored directly inside your PDS. You can export them, move to another app, or build your own frontend in the future. The platform is basically just a viewer/writer on top of your data. It's very straightforward and takes seconds to update your status. You login with your atproto handle, select an emoji and post your status. You also gets your own RSS feed for your statuses if you want to follow them elsewhere. It’s still early but I’d love to hear what people think - especially people who enjoy small social spaces and decentralized web stuff.

Visit product View on Hacker NewsNov 25, 2025

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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: using, open · Missing: mac, agents, macos

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

45%45% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal

40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

39%39% 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

21%21% 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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