Langy – AI Translator

Hacker News

I have been working on an Artificial Intelligence side project, building everything from scratch during my free time on weekends, and I would like to share it here. Lately I have been studying French and many times I get frustrated with Google Translate and Duolingo because of translations out of context or that lose their essence. Then the idea came to me to create Langy, a translator based on AI. He not only speaks languages, but understands them. Using AI, Langy can analyze, make suggestions, make grammatical and contextual corrections, and even explain the points corrected. The road to this final MVP was quite tough. The real challenge was in improving the translations and explanations. Countless hours have been dedicated to fine-tuning the AI, involving understanding the user's primary language and providing explanations that make sense. For now it's just for iOS, but soon there will be a version for Android and Web. Feedback is always welcome and appreciated!

Visit product View on Hacker NewsMar 7, 2024

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Actual performance

4points

1comments

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Launch Intel predictions

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

85%85% 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.

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

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

TrustMRRFits verified-revenue profile · Strong signals: ios, google, way · Missing: mobile apps, personal, entrepreneurs

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

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

47%47% 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

37%37% 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

12%12% 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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