Cu

Cubisum – A Number Puzzle Game

Hacker News

Cubisum – A Number Puzzle Game

Hi HN, I'd like to share a logic number puzzle game that I've been working on. Cubisum ("Cubism" + "sum") draws inspiration from Sudoku and Minesweeper, while also creating compositions reminiscent of Piet Mondrian's cubist work. The rules are simple, but I found it a surprising challenge (It was much harder to estimate the difficulty before I saw an actual game board). I hope you enjoy it -- any feedback would be much appreciated!

Visit product View on Hacker NewsJun 28, 2023

Actual performance

6points

2comments

Did not reach leaderboard

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TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal

56%56% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

49%49% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

44%44% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos

24%24% predicted probability of success on Product Hunt, 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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