Ku

Kuboble.com – Minimalistic sliding pieces puzzle game

Hacker News

Kuboble.com – Minimalistic sliding pieces puzzle game

Hi, I wanted to share a simple game I wrote. It's a sliding pieces puzzle like many others. I have focused a lot on making the experience smooth and minimalistic and the levels being challenging in a way a sudoku or chess puzzles could be. I had no prior knowledge of game development and while it feels like someone competent could build this game in a week I spent over two years and hundreds of hours to bring this game to life. My journey went through: - thinking it will be a PC game - being overwhelmed by the amount of different game frameworks - hiring an indie dev to bootstrap the game in Unity for me - realize the small levels are actually cool and it might fit on a phone - generating levels and playing through thousands of them myself to curate a smaller list - realizing the Unity wasn't a good choice - rewriting the game in html + js drawing on canvas + React - hiring a bunch of fiverr artists and testers to polish it up I think I am finally satisfied with the result enough to be willing to share it with the world. If you're a fan of minimalist sliding pieces puzzles I'd be happy if you give it a try! the game has: - no ads - no tracking of any kind - fully offline after first load

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Actual performance

437points
155comments
Made the leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, created, podcasting
88%88% 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.
Hacker NewsStrong engagement from HN community · Missing: https docs, just released, open source
63%63% 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 HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
43%43% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: reviews, intuitive, videos
36%36% 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
11%11% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: api, 000, profitable
9%9% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, just like, small businesses
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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