Shijima-Qt – Desktop Pets for Linux, macOS and Windows

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Shijima-Qt is a cross-platform desktop app for running a category of desktop pets called "shimeji". They are little mascots that run around on your desktop, grab onto windows and get angry when you hold them and throw them around. The original shimeji program is quite old and there are hundreds (maybe thousands) of shimeji already available on the internet. I initially made Shijima to run these desktop pets on iOS but since Linux didn't have an app for them either, I decided to port it to desktop as well. Shijima-Qt is still in its early stages so if you're interested in this sort of thing I'd appreciate your feedback :) Homepage: https://getshijima.app

Visit product View on Hacker NewsFeb 23, 2025

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

62%62% 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: mac, macos · Missing: agents, agent, cursor

62%62% predicted probability of success on Product Hunt, 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

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

nativeThis product was originally launched on this platform.

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

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

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

33%33% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

17%17% 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

4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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