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Hanzi.gg – Wordle-inspired Chinese character guessing game

Hacker News

Hanzi.gg – Wordle-inspired Chinese character guessing game

Tap on a character to reveal the strokes, radicals and components it has in common with the character you're trying to guess. This was designed mainly for learners but I'm curious to hear from fluent hanzi readers whether the game is too easy. The vocabulary is from the Chinese Vocab List project [1]. Character graphics and data are sourced from Make me a Hanzi [2]. There are 95 pre generated games at the moment which are randomly chosen, more will be added soon. Suggestions welcome! [1] https://github.com/kerrickstaley/Chinese-Vocab-List [2] https://github.com/skishore/makemeahanzi

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Actual performance

13points
8comments
Made the leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
65%65% 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: soon · Missing: plus, platform, intuitive
59%59% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
50%50% 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
48%48% 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 · Missing: mac, agents, macos
23%23% 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
11%11% 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
2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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