Crossle – A daily puzzle game where you find 3 intersecting words

Hacker News

After playing a dozen of daily wordle-like games, I decided to make my own. A Crossle board has 3 words. A 7 letter word takes the whole X axis and two 5 and 6 letter words share the Y axis, intersecting at a letter shared between all 3 words. The column position isn't fixed and changes everyday. I used Datamuse API for words generation. I tried to make the 3 words semantically close to each other, but it's not always shown given how strict the constraints are. OH also, hints work like Wordle, except for the addition of a new Blue color which means "The letter is in the board, but not this word" Please tell me your feedback.

Visit product View on Hacker NewsJul 26, 2026

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Did not reach leaderboard

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Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

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

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

40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

38%38% 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

34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

32%32% 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

19%19% 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.

Incorrect prediction on native model

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