
Linguavia
Finally a language app you won't delete again.
What it does
You did the lessons for months. Then you tried to speak, and the words weren't there. Linguavia fixes what most apps skip: making words stay. It runs on spaced repetition, a 5-level system with reviews at 1, 2, 4, 8 and 16 days. Each word returns right before you'd forget it. Inside: 5-level spaced-repetition system Speak mode (A1→C2) VerbTrainer for tricky conjugations 12+ languages, UI in DE/EN/TR/SQ (More coming) Free to start. Founder pricing: 5.99 CHF (~$7), one-time, lifetime. 200 spots.
Does the same job
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Hi guys, Hope everyone is well. This app was borne out of my own frustration. I thought that I was terrible at learning languages at school, since I didn't become conversational in French after 5 years of study. However, I later traveled with some French friends and, in just under 3 weeks, I was able to hold a reasonable conversation. I realized that there's no substitute for speaking to native speakers. I tried to adopt this approach for other languages, but it's much harder to find people to practise with when you aren't travelling. I started using iTalki to meet people from different…
- LHLexical - How I learned 3 languages in 3 yearsNov 2025 · lexical.app · ▲9
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- CLConversational Language Learning App2025 · apps.apple.com · ▲6
Hey HN, I've been building an iOS app, called Lingocat, over the last few months to help language learners become fluent faster through conversational practice. Most language learning apps are over-indexed on repetitive vocab and grammar practice. This approach helps you improve reading + writing proficiency but will leave you unable to hold a conversation in your target language. Lingocat teaches you how to speak a new language using an AI language tutor who you'll practice speaking with, in your target language to complete a variety of exercises. Each lesson is focused on improving your…

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- NW
Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
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