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Ordinary Puzzles, a free puzzle game inspired by Picross and Sudoku

Hacker News

Ordinary Puzzles, a free puzzle game inspired by Picross and Sudoku

Hello hello HN! I wanted to share with you Ordinary Puzzles, a little puzzle game I designed and developed in my free time, inspired by Picross and Sudoku. I already posted it here ages ago, but I wanted to share it again now that I updated it to also be playable online as a Progressive Web App. Ordinary Puzzles is open source, is built with React Native, and it’s available on the mobile app stores, on the web (as a PWA), and as an Electron app. Hope you give it a try! (Please don’t skip the short tutorial :P) https://ordinarypuzzles.com/ P.S.: The puzzles come from https://github.com/jsnell/linjat (the author is credited and has been contacted before using them).

Visit product View on Hacker NewsJul 31, 2022

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3comments

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

72%72% 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 · Strong signals: open source · Missing: https docs, excited, just released

57%57% 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 · Missing: plus, platform, intuitive

47%47% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: using, open · Missing: mac, agents, macos

17%17% 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

12%12% 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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