Wu

Wuxialearn – FOSS Chinese Learning App in Flutter and SQLite

Hacker News

Wuxialearn – FOSS Chinese Learning App in Flutter and SQLite

I made this app to help myself learn Chinese. It's a classic n+1 language learning app were you learn more words each level building on the previously learned words. There is a pretty good stats system as well as a basic SRS review implementation. I don't know if you can actually learn Chinese from this app but I was able to improve my reading skills a lot from learning enough to make the app itself. It contains all words in hsk 1-3 as well as a good portion of hsk 4 totaling to more than 1000 words and 600 sentences with about 80 units. There is also a separate 'wuxia' course that contains 100 common xianxia terms which was the main goal for me in the first place (hence the name). Let me know what you think! If you have any suggestions or questions please let me know.

Visit product View on Hacker NewsMar 25, 2024

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

80%80% 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 · Missing: mac, agents, macos

63%63% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: para · Missing: mobile apps, ios, personal

61%61% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: 000, io · Missing: https docs, excited, just released

49%49% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

26%26% 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

17%17% 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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