Kuwords – A Word Puzzle Game Inspired by Sudoku and Crosswords

Hacker News

Hey HN! I’m excited to introduce Kuwords, a word puzzle game that blends the logical structure of Sudoku with the creativity of crosswords. The goal is to fill the grid so that every row and column forms a valid word. It’s a fresh twist on classic puzzles, designed to challenge your vocabulary, logic, and problem-solving skills. I created this game because I wanted to offer something both familiar and innovative for puzzle enthusiasts. Whether you love Sudoku, crosswords, or just enjoy a good brain teaser, Kuwords offers a unique and satisfying challenge. You can check it out here: https://play.google.com/store/apps/details?id=com.vezon.rubi... I’d love to hear your thoughts! How do you find the gameplay? Is the difficulty balanced? Any feedback or suggestions would be greatly appreciated. Thanks for your time, and I hope you enjoy Kuwords as much as I enjoyed creating it!

Visit product View on Hacker NewsDec 31, 2024

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

90%90% 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.

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

52%52% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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.

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

29%29% 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 · Strong signals: google, apps · Missing: mac, agents, macos

27%27% 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

13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: introduce · 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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