Kurdle – Wordle Meets Japanese Kanji

Hacker News

Hello HN! I built Kurdle ( https://japanesecomplete.com/kurdle.html ), a Wordle variant that teaches Japanese kanji through English word patterns. Each day features a new kanji that replaces a vowel in a 5-letter English word. For example, the kanji 人 (meaning "person") might replace the "U" in "HUMAN", showing as "H人MAN". Players learn kanji meanings while solving familiar word puzzles. Features: - Daily puzzles using common kanji from the essential 777 list - Streak tracking to encourage regular practice - "Hacker mode" UI theme (toggle in top right) - Progressive learning - starts with basic kanji and builds up Built with vanilla JS/HTML/CSS. No frameworks, no dependencies (except for victory confetti!). This is part of my larger mission to make Japanese learning more approachable through gamification. Would love your feedback on the concept and execution!

Visit product View on Hacker NewsNov 27, 2024

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

86%86% 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.

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

54%54% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

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

nativeThis product was originally launched on this platform.

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

43%43% 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

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

18%18% 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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