Squareword - a Wordle-like game with an added dimension

Hacker News

Last weekend, when I was playing Wordle I was inspired to think of ways to expand the concept and fuel my daily word game addiction. So I built squareword, where you use word guesses to uncover a square of letters consisting of five words down and five across. There is a new challenge every day, I thought you guys might enjoy it. My score for today was ten guesses. I built it in Vue.js and the Quasar framework and host it on Cloudflare pages. Just like Wordle, it runs purely on the client side. Over the past week, I’ve been adding features such as user stats and the ability to share your results. It has been really fun to see friends and family start playing the game, even when they beat my own score… Any feedback is appreciated!

Visit product View on Hacker NewsFeb 6, 2022

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Actual performance

4points

Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: user, new · Missing: mac, agents, macos

66%66% predicted probability of success on Product Hunt, 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: ide, io · Missing: https docs, excited, just released

53%53% 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

50%50% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

43%43% 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

13%13% 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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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