I built a gamified Chinese idioms learning platform

Hacker News

I built a simple and fun platform for learning Chinese idioms (成语/chengyu). No registration required, just open and start playing. What are Chinese idioms? - Four-character expressions that often tell a story or convey profound meaning - Essential part of Chinese language and culture - Challenging to learn due to their historical context and non-literal meanings Features: - Three game modes: * Progressive challenges with different difficulty levels * Word chain game (connect idioms using the last character) * Memory matching game with related idioms - No registration required, instant access - Mobile-friendly, works on all devices - Multi-language support (Traditional/Simplified Chinese, English, Japanese, Korean) Tech stack: Nextjs + React + tailwindcss + Golang Try it here: https://idiomgame.com/en Looking for feedback on gameplay and user experience.

Visit product View on Hacker NewsDec 21, 2024

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

91%91% 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.

AppSumoStrong fit for a featured deal · Strong signals: platform, friendly · Missing: plus, intuitive, reviews

51%51% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

39%39% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

17%17% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

10%10% 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.

Correct prediction on native model

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