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I built a tool to add Chinese subtitles to videos for Red Note

Hacker News

I built a tool to add Chinese subtitles to videos for Red Note

Hi HackerNews! Due to the recent TikTok ban, we have seen a big surge of English-speaking users coming into Red Note (Xiaohongshu), the Chinese social media app. As a user on the platform and a software developer, I really enjoy the fresh content on there and it was eye-opening for me. I noticed that the videos being uploaded by TikTok Refugees usually do not have Chinese subtitles, or have poorly translated ones. So I went ahead and put together a free tool to help add a clear Chinese translation onto the videos. It has been fun seeing these new videos and sharing new ideas and thoughts with more people. I want to be able to share them with my family like my father (who loves fishing and gardening) and my girlfriend (who enjoys baking a lot). I hope my tool can help inspire people between US and China. Cheers!

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Product HuntOn track for Day 1 leaderboard · Strong signals: user, new, open · Missing: mac, agents, macos
74%74% 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 · Missing: supports, reddit linkedin, podcasting
68%68% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Strong signals: platform, users · Missing: plus, intuitive, reviews
58%58% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: video, users · Missing: mobile apps, ios, personal
43%43% 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
28%28% 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 · Missing: arr, mrr, revenue
16%16% 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.

Correct prediction on native model

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