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I made a language tool that forces you to talk

Hacker News

I made a language tool that forces you to talk

Hey HN! I created Hanasu.ai after my 9-5 job as a side project. Previously I'd used Duolingo to learn Japanese, but failed spectacularly when I actually spoke with my roommate from Tokyo. Now, after OpenAI improved their Realtime audio model in December and reduced pricing, I spent my entire winter break building. So how does it work? Just choose a daily topic and converse with the AI model: (1) Didn't catch a phrase? Double tap to reveal a transcript. (2) Couldn't understand? Double tap for translations powered by Google. (3) Can't recall that intricate Chinese/Japanese character? Just tap for an integrated dictionary. (4) Then, review your saved words with spaced-repetition, just like an Anki deck. Try it for free, and let me know your thoughts :) ありがとうございます！(Thanks!) Nitin

Visit productView on Hacker NewsJan 24, 2025
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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: model, google, openai · Missing: mac, agents, macos
91%91% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting
67%67% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: google · Missing: mobile apps, ios, personal
48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
47%47% 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
21%21% 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
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
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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