Miteiru, a Cantonese,Chinese,Japanese Immersion ElectronJS Video Player

Hacker News

Miteiru, used to be a Japanese-use only. But now, I changed my plan from working in Japan to working in Hong Kong, I need to learn both cantonese and chinese. Whisper 3.1 has been out, now all videos literally can be captioned, and I've been using this for a while to learn cantonese and chinese. Combine this with GPT-4o as our teacher. Again, I'll be maintaining this app and tryna achieve all CJK supported video player! Feedbacks are accepted!! Sorry didn't prepare the build for linux :p You can build it by yourselves

Visit product View on Hacker NewsMay 15, 2024

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Actual performance

3points

Did not reach leaderboard

Launch Intel predictions

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

90%90% 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.

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

67%67% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntOn track for Day 1 leaderboard · Strong signals: using · Missing: mac, agents, macos

63%63% 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: ide, io · Missing: https docs, excited, just released

32%32% 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

31%31% 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

18%18% 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

7%7% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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