Malan Chat, a full immersion language learning app for 62 languages

Hacker News

With Malan Chat, you can learn over 60 languages through AI-powered conversations, grammar correction, and integrated FSRS flashcards. The chat allows users to practice speaking and listening, get instant corrections, and build your vocabulary with our intelligent language tutor. Users may import readings into the Reader, look up words and annotate the article, and discuss the reading with the chat. To practice longer form writing, you may go into the writing hub and see your text marked up with corrections. I built Malan to make speaking practice feel like a real conversation instead of a clunky exercise. It’s a chat-first language coach that listens, responds, and nudges you toward more natural phrasing without breaking your flow, so the learning process stays light and fast, it feels more like texting than studying. It’s strongest for people who already know some of the language and want to go from 1 → 100. There isn’t a true 0 → 1 path yet (onboarding for complete beginners is coming), so right now it’s best for learners who can form basic sentences and want consistent practice with real feedback. Coming soon: YouTube (and possibly Spotify) integration so you can get listening practice from real sources that you want to engage with. This is your journey, and you are a distinct individual with your own tastes. I want you to have fun while you're going through the arduous task of learning a new language! Also in the works are custom exercises based on your own needs. I've still had very limited user feedback, so please tell me what you like or don't like about the platform and I will do my best to remedy it!

Visit product View on Hacker NewsJan 26, 2026

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

76%76% 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 · Missing: supports, reddit linkedin, podcasting

61%61% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

60%60% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

42%42% predicted probability of success on AppSumo, 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

36%36% 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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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