
DracoChinese
Your AI Mandarin conversation partner
What it does
Learning Chinese is hard — especially actually speaking it. Most apps teach vocabulary, but never give you a safe space to practice real conversations. DracoChinese is different: 🤖 AI conversation practice in real-life scenarios (restaurants, hotels, taxis...) 🎧 Structured lessons from Pinyin basics to HSK levels 🗣️ Speaking practice with pronunciation feedback 📖 Articles, flashcards & vocabulary decks Solo indie dev here — honest feedback welcome! 🙏
Does the same job
all alternatives →- GCGet conversational practice in over 20 languages by talking to an AI2022 · talk.quazel.com · ▲787
Hi everyone, Let me introduce you to Quazel, where we want to enable people to talk their way to fluency. We have all tried various language learning apps and tools, however, one aspect of language learning current services are really bad at is conversational practice. You might get a chat-like interface, but in the end, the conversation partner will only respond with a predefined "if the users say X I say Y". With Quazel that's completely different. In completely dynamic and unscripted conversation you can talk about pretty much anything you want. For example, you can try ordering food at a…
- LALearn a language quickly by practising speaking with AI2023 · prettypolly.app · ▲325
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…



Lucas | Call your AI language teacher2024 · ▲204Learn English, Spanish, German, French & more by talking
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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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