Hanly – Learning Chinese characters reimagined

Hacker News

Learning Chinese characters is unreasonably hard and is arguably the main reason why most people give up on the language. The existing apps mostly just show you a character and ask you to “remember” these random-looking complex shapes. Frustrated with this during my own learning journey, I decided to build Hanly. The core idea: there is deep tree-like structure to Chinese characters, and Hanly teaches them by making you climb up this hierarchy, so that at every step you either learn a very basic building block or combine already known building blocks. This approach makes learning feel more like playing with LEGOs rather than memorizing random shapes. I left a link for iOS but the app is also available on Android (currently completely free on both platforms): https://play.google.com/store/apps/details?id=app.hanly.chin... It’s the first app I ever built and any feedback is very appreciated!

Visit product View on Hacker NewsApr 22, 2025

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

82%82% 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: google, apps · Missing: mac, agents, macos

55%55% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

52%52% 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 · Strong signals: platform · Missing: plus, intuitive, reviews

40%40% 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

20%20% 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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