Ja

Japanese Complete Book 1 Released

Hacker News

Japanese Complete Book 1 Released

Hello friends at HN For the past 3 years we have been arranging our physical textbook series and the first one has been published. You can view sample chapters and see that the book is printed on premium, photo-quality paper here: https://japanesecomplete.com/book-1 In true hacker ethos, Japanese Complete was a project started to address a need the founders had and now it’s turning into a tangible product so it is quite exciting for us and we appreciate your continued support. All the material in the first book is available with a free online account on our online curriculum, only that it is much more beautifully laid out for convenient look-up in the book. A much more compelling representation down to the feel of the cover and the weight of the text in your hands like fine silverware. Please only get the book if you can afford it, because as mentioned you can also get the same course material with a starter account at no cost to you. We developed a lot of innovations for teaching and acquiring Japanese rapidly and to-remember. Please ask any (sincere) questions here.

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Indie HackersFits the IH revenue-focused audience · Strong signals: started · 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: io · Missing: https docs, excited, just released
61%61% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive
53%53% 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
45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: physical · Missing: mac, agents, macos
43%43% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: arr · Missing: mrr, revenue, profit
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.

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