I made an AI language tutor that teaches through immersive video calls

Hacker News

Hi! I created a platform that lets you have real video call lessons with an AI teacher that's available 24/7. What do you think? What should I improve? www.kylian.ai What we offer: - Full video conferencing: see and speak with your AI tutor in a natural setting - Structured lessons with clear objectives and progression - Interactive whiteboard for visual explanations - Real-time translations and grammar feedback - Cultural insights integrated into conversations - Progress tracking to monitor your improvement - Practice exercises and scenarios - Customizable lesson content What makes us different: - Video call format feels more like a real classroom/tutoring session - Complete lesson structure (not just conversation practice) - Visual teaching tools (whiteboard, lesson overlays) - Track your learning journey - Practice real-world scenarios What we're working on: - More interactive scenario types - Additional cultural content - Expanded lesson library - More customization options - Enhanced progress analytics - Call recording I've been developing this to make language learning more engaging and structured than just chat interfaces. Would love your feedback, please! Thanks! Ernest

Visit product View on Hacker NewsJan 27, 2025

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

86%86% 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, ios · Missing: supports, reddit linkedin, podcasting

82%82% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

70%70% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Strong signals: platform, interface, calls · Missing: plus, intuitive, reviews

61%61% 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

31%31% 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 · Strong signals: active · 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 · 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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