
VeyoApp: Master Conversations
Think faster. Speak better with AI conversation practice.
What it does
VeyoApp helps you train thinking through real conversations with AI. Instead of memorizing answers, you practice speaking on unexpected topics, from ethics to abstract ideas. After each session you get feedback on clarity, depth, hesitation and structure, plus a conversation score. Tap responses to see better ways to reply. Build the ability to think and speak in real time for interviews, meetings and debates.
Does the same job
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- 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…
- IBI built an AI conversation partner to practice speaking languagesJan 2026 · apps.apple.com · ▲65
Hi, I built TalkBits because most language apps focus on vocabulary or exercises, but not actual conversation. The hard part of learning a language is speaking naturally under pressure. TalkBits lets you have real-time spoken conversations with an AI that acts like a native speaker. You can choose different scenarios (travel, daily life, work, etc.), speak naturally, and the AI responds with natural speech back. The goal is to make it feel like talking to a real person rather than doing lessons. Techwise, it uses realtime speech input, transcription, LLM responses, and tts streaming to keep…


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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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