Become fluent in a language by practicing with an AI Tutor

Hacker News

Hi everyone! After recently moving from Toronto to Montreal, I was trying to become more fluent in French. I downloaded a couple language learning apps, but quickly realized that it wasn’t helping me hold a conversation in everyday situations. I then downloaded some language exchange apps, but it was difficult to keep the conversations going with different time zones, and my language partners weren’t always properly correcting all my mistakes. So finally, I got a real tutor but it quickly became expensive, and I couldn’t just practice anytime, like on the bus every morning. So I built Tutor Lily, a mobile app chatbot to help language learners like me become fluent by practicing real-life conversations with a friendly AI companion, who corrects and explains all your mistakes, making personalized tutoring both affordable and always available at your fingertips! But this is just the beginning, I have many interesting ideas that I hope to launch in the coming months to enhance Tutor Lily's capabilities. Excited to see what you guys think, and get all your most honest feedback!

Visit product View on Hacker NewsAug 31, 2023

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Product HuntOn track for Day 1 leaderboard · Strong signals: apps, plain · 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: mistakes · Missing: supports, reddit linkedin, podcasting

69%69% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

52%52% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

46%46% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: excited, ide, io · Missing: https docs, just released, exist

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.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency

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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