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SonicCaption – Real-time bilingual captions and translation for videos

Hacker News

SonicCaption – Real-time bilingual captions and translation for videos

Hi HN — I’m Ethan, a solo developer and a language learner. I built SonicCaption because I often watch courses/videos and join meetings in languages I’m not fluent in, and I wanted something that works across sites, not just on one platform. What it is: a Chrome/Edge extension that adds live captions + translation on top of the page you’re already using (videos, meetings, livestreams, etc.). You can show bilingual captions or translation-only. How to try it: 1) Install the extension 2) Google sign-in (required to link usage quota and prevent abuse) 3) Open a tab with audio → click Start in the extension → you’ll see live captions/translation Trial: everyone gets 20 minutes free to test it. Note on sign-in/privacy: I know sign-in adds friction. I use Google login only to associate usage quota with an account and to prevent abuse. The extension does not access your inbox/contacts. If an anonymous trial mode would significantly increase willingness to try, I’d love to hear that. If you try it and it fails or behaves oddly on a site, telling me the url + browser would help a lot. I’ll be here to answer questions and iterate quickly.

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Actual performance

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Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: google, inbox, using · Missing: mac, agents, macos
82%82% 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
60%60% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: video, google · Missing: mobile apps, ios, personal
41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews
35%35% predicted probability of success on AppSumo, 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
33%33% 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
19%19% 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.

Correct prediction on native model

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