App for learning how to write Japanese

Hacker News

I'm a long time lurker that recently quit my job to work on my own projects, a lot due to the inspiration from Hacker News. Now I have published my first serious project, an app for learning how to write Japanese characters. It's the app I always wanted but couldn't find when I was studying. It tries to be simple to use, you just start the quiz and go with the flow. There's no need to plan and manage your studies, and it uses spaced repetition for better retention. There's a promo page with more details up at http://www.kanjibyhand.com. It's only for Android so far. The free version includes hiragana and katakana: https://market.android.com/details?id=se.tokotoko.android.kanabyhand The paid version includes (a lot of) kanji: https://market.android.com/details?id=se.tokotoko.android.kanjibyhand I'd be grateful for any comments or ideas for how to market this app!

Visit product View on Hacker NewsFeb 26, 2012

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55points

51comments

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

93%93% 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.

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

54%54% 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 · Strong signals: way · Missing: mobile apps, ios, personal

48%48% 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

33%33% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: new · Missing: mac, agents, macos

22%22% 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

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

BetaListMay not resonate with beta-testers · Strong signals: paid · 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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