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Jargon, a Chrome extension to turn your browsing into language learning

Hacker News

Jargon, a Chrome extension to turn your browsing into language learning

Hello HN! Jargon's a Chrome extension we've developed to turn any time browsing the internet into time learning languages. Jargon automatically picks sentences from the content you're browsing to generate a small practice quiz in a language of your choosing, helping you improve your reading and vocabulary skills. Simply click on the blue underlines as they appear to attempt a quiz. The vocabulary you learn will be saved to your "jar" for you to review later. Check out our website https://www.jargonlearn.com to try out a short demo! Currently, the extension supports learning from English-language content, with plans to expand to other source languages in the future. Please let us know what you think!

Visit product View on Hacker NewsAug 23, 2024

Actual performance

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

71%71% 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: supports · Missing: reddit linkedin, podcasting, created

68%68% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · 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: io · Missing: https docs, excited, just released

45%45% 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

32%32% 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

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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