Po

PolyglotGPT – Conversational AI for Learning 40 Languages

Hacker News

PolyglotGPT – Conversational AI for Learning 40 Languages

Hi HN! I'm trying to learn a language, but I don't have anyone to speak it with, so I made this website to get some practice. To start, all you have to do is set your native language and target language. Then, just start talking to it in either your native or target language. It'll catch any mistakes you make when you speak in your target language and answer any grammar/vocab questions you have. It has a translate button, a romanize button (converts any text into the Latin alphabet), and you can highlight words/phrases you don't know in AI responses to have them explained. I'd appreciate any feedback, thanks!

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Product HuntOn track for Day 1 leaderboard · Strong signals: plain · Missing: mac, agents, macos
80%80% 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: mistakes · Missing: supports, reddit linkedin, podcasting
71%71% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal
61%61% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
53%53% 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
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
25%25% 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
5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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