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Chinese Learning Site – I made a free online version of the HSK books

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Chinese Learning Site – I made a free online version of the HSK books

I made a website for learning Chinese. There are many already, but I think there is always room for new entries into the Chinese language learning ecosystem. The Site: - Course is an online version of the HSK course books (HSK 1-2 done so far, 3-4 coming soon) including all the vocabulary, texts, and all the content/activities from the coursebook and workbooks. - SRS Flashcards - SRS Sentence speaking - Character writing tool (Stroke data is from MakeMeAHanzi) - Dictionary is from the MBDG Chinese Dictionary - I build it using Rails and StimulusJS (with AI help) - Uses a lot of TurboFrames/TurboStreams to make it interactive - Goal is to be mobile friendly and responsive. - I got AdSense approval so it will be a completely free ad supported website. AI: - I use AI to build the site, transcribe the course, enhance the images, transcribe speech, generate audio, and for some minor supplemental content and formatting. - 99%+ of the course and content is not AI generated and is from the HSK courses. - I am exploring additional ways to use AI, but I am very cautious about the quality and accuracy of AI generated content. I would appreciate any feedback about the site, whether you are learning Chinese or not.

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Indie HackersFits the IH revenue-focused audience · Strong signals: including · Missing: supports, reddit linkedin, podcasting
76%76% 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: friendly, soon · Missing: plus, platform, intuitive
63%63% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: way · Missing: mobile apps, ios, personal
53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: new, using · Missing: mac, agents, macos
44%44% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io, including · Missing: https docs, excited, just released
40%40% 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 · Strong signals: active · Missing: arr, mrr, revenue
14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: audio · Missing: web3, chat, crypto
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

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