Open-source and privacy focused offline translation in the browser

Hacker News

I'm launching Linguist Translate, an open-source, full-featured translation solution with an embedded offline translator based on the Bergamot Project created by Mozilla. Site: https://linguister.io GitHub: https://github.com/translate-tools/linguist Today, Linguist is launched on ProductHunt. Check it out: https://www.producthunt.com/posts/linguist-translate Linguist is not just a wrapper over Google Translator like many other extensions. You can use any translation service with Linguist, thanks to custom translators! You may even deploy any machine translation (like LibreTranslate) on your localhost and then add this service to Linguist. All features are included: text translation, full-page translation, selected text translation, Text-To-Speech, dictionary, history, and even more.

Visit product View on Hacker NewsJun 27, 2024

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Actual performance

6points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

68%68% 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

65%65% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

55%55% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Strong signals: google · Missing: mobile apps, ios, personal

44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: host · Missing: plus, platform, intuitive

34%34% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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