Tried the demo before launch — the lip sync is noticeably better than what I’ve seen with other generative avatars. But @sergei_sherman walked me through something deeper: active listening coupled with empathetic response . You know how you can kind of say anything to most AI avatars (e.g. “my mom died”, or "omg there's a murderer outside my window!") and they'll just blink, cycle their idle loop, nod and say something like “oh, that’s nice to hear.” These bots are just mouths on a timer with zero semantic read. AVTR-1 generates every pixel of the face in real time, frame by frame. When meaning shifts in what you’re saying, the expression shifts to match — e.g. brow lifting at word three because the content warranted it, not just because the sentence ended. For developers : there’s no Pipecat equivalent for video agents right now. @Avaturn Live is shipping the full stack — model weights, streamer, sync layer, reference avatars. Bring your own GPU, and you're ready in 15 minutes. Open weights is a big deal, and it's all free if your business is under $10M ARR.
Human Signal
创始人 / Maker 评论
优先展示 Product Hunt 上对理解条目有帮助的人类文本。
Topics
Video StreamingOpen SourceArtificial Intelligence
痛点分析发布于 2026/05/26
痛点为 AI 基于上游原始证据的初步提炼；未包含额外中国市场检索。
痛点
开发者在构建实时AI虚拟形象时，现有方案依赖预录制视频+唇形合成，导致虚拟形象在用户说话时只能循环播放固定动画，无法根据语义实时调整表情。用户评论指出，当前虚拟形象对“我妈妈去世了”这类情感内容只会机械回应“听起来不错”，缺乏主动倾听和共情反应。这种“嘴巴定时器”式的交互造成用户对话体验生硬、信任感低，尤其在销售、客服等需要情感连接的场景中，无法建立有效沟通。同时，开源社区缺乏类似Pipecat的视频智能体基础设施层，开发者需要自行整合模型、流媒体、同步层等组件，增加了集成复杂度和重复劳动。
Discussion
精选 Product Hunt 讨论
保留原始讨论语境，用来交叉验证上游条目的真实反馈。
Hey guys! We are so excited to show you our new model: avatars became even more realistic and reactive. The awesome thing is that active listening is now at another level: avatars are reacting to your speech like a real person. If you are not a technical person like me, you can simply go to our website and talk to our avatars to see how cool that is! If you are a developer yourself, check out our github: we opened our model!
Hey Product Hunt 👋 I'm Sergei Sherman, CEO of @Avaturn . Today we're releasing AVTR-1 — an open-weights real-time AI avatar model that sets a new state of the art on key benchmarks. If you're building anything with real-time AI avatars, AVTR-1 is for you. ✍️ Here's what makes AVTR-1 different: The whole face is generated. Not just the lips swapped onto a pre-recorded clip. Every pixel of the avatar's face, top of the head to the chin, is generated in real time, frame by frame. Native duplex — the avatar actively listens. The model is generating all the time, whether the avatar is speaking or listening. Just like a human on a call, the avatar's face responds to your words and your tone in real time. The brow lifts at word three because you sounded surprised at word three, not after the sentence ends. For three years, "real-time avatars" have meant pre-recorded video with a generated mouth pasted on top. We threw out the recording. 🎯 Why you want AVTR-1: Open weights. Free for personal, research, and any commercial use under $10M in annual revenue. Commercial licensing above that, through us. Sub-200ms end-to-end on one A100 or 4060. Runs on youd device in a data center, in the cloud. Avaturn Streamer included — the open infrastructure layer for real-time avatars. Accepts AVTR-1 or any other open-weight real-time video model as a drop-in. Plug in your video model on one side, your conversation backend on the other. Reference avatars out of the box. Model cards, license-cleared, deployable today. Launch-partner examples in the repo with Cartesia and Pipecat on day one. 🏗️ One thing we're explicitly NOT launching — and want the industry to build with us: A public, vendor-neutral leaderboard for real-time AI avatars. The category needs a transparent scoreboard, one the ecosystem runs together. Clear, public competition is the only way improvement happens fast. We're inviting every other vendor, every open-source contributor, every researcher to help us build it. 🎉 Everything is live today: Code, inference, evaluation: github.com/avaturn-live/avtr-1 Download Model Weights huggingface.co/avaturn-live/avtr-1 Technical report, full paper, reproducible benchmarks: avtr-1.avaturn.live Hosted demo: avaturn.live Real-time generated video is the next frontier. Every previous wave — text, then real-time audio — produced an open layer the category built on. We're shipping that layer today: model and orchestration both. Drop questions, feedback, or what you're building below — I'll be here all day 🚀 — Sergei
the 9x faster claim is interesting but faster than what exactly. the baseline matters a lot here. sub-300ms felt like magic two years ago and now it's table stakes for anything calling itself real-time. curious what the actual latency numbers look like end to end, not just the generation side
the active listening part is what separates this from every other avatar tool. current ones just talk at you with dead eyes while you wait. if the expression matching actually works in real time this changes how you build AI sales and onboarding flows
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"body": "<p>Hey Product Hunt 👋<br></p><p>I'm Sergei Sherman, CEO of <a href=\"https://www.producthunt.com/@Avaturn\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">@Avaturn</a>.<br></p><p>Today we're releasing <strong>AVTR-1</strong> — an open-weights real-time AI avatar model that sets a new state of the art on key benchmarks.<br></p><p>If you're building anything with real-time AI avatars, AVTR-1 is for you.<br></p><p>✍️ Here's what makes AVTR-1 different:</p><ol><li><p><strong>The whole face is generated.</strong> Not just the lips swapped onto a pre-recorded clip. Every pixel of the avatar's face, top of the head to the chin, is generated in real time, frame by frame.</p></li><li><p><strong>Native duplex — the avatar actively listens.</strong> The model is generating all the time, whether the avatar is speaking or listening. Just like a human on a call, the avatar's face responds to your words and your tone in real time. The brow lifts at word three because you sounded surprised at word three, not after the sentence ends.</p></li></ol><p>For three years, \"real-time avatars\" have meant pre-recorded video with a generated mouth pasted on top. We threw out the recording.<br></p><p>🎯 Why you want AVTR-1:</p><ul><li><p><strong>Open weights.</strong> Free for personal, research, and any commercial use under $10M in annual revenue. Commercial licensing above that, through us.</p></li><li><p><strong>Sub-200ms end-to-end on one A100 or 4060.</strong> Runs on youd device in a data center, in the cloud.</p></li><li><p><strong>Avaturn Streamer included</strong> — the open infrastructure layer for real-time avatars. Accepts AVTR-1 or any other open-weight real-time video model as a drop-in. Plug in your video model on one side, your conversation backend on the other.</p></li><li><p><strong>Reference avatars</strong> out of the box. Model cards, license-cleared, deployable today.</p></li><li><p><strong>Launch-partner examples in the repo</strong> with Cartesia and Pipecat on day one.</p></li></ul><p>🏗️ One thing we're explicitly NOT launching — and want the industry to build with us:<br></p><p>A public, vendor-neutral leaderboard for real-time AI avatars. The category needs a transparent scoreboard, one the ecosystem runs together. Clear, public competition is the only way improvement happens fast. <br>We're inviting every other vendor, every open-source contributor, every researcher to help us build it.<br></p><p>🎉 Everything is live today:</p><ul><li><p>Code, inference, evaluation: <a href=\"http://github.com/avaturn-live/avtr-1\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">github.com/avaturn-live/avtr-1</a></p></li><li><p>Download Model Weights <a href=\"http://huggingface.co/avaturn-live/avtr-1\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">huggingface.co/avaturn-live/avtr-1</a></p></li><li><p>Technical report, full paper, reproducible benchmarks: <a href=\"http://avtr-1.avaturn.live\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">avtr-1.avaturn.live</a></p></li><li><p>Hosted demo: <a href=\"http://avaturn.live\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">avaturn.live</a></p></li></ul><p>Real-time generated video is the next frontier. Every previous wave — text, then real-time audio — produced an open layer the category built on. We're shipping that layer today: model and orchestration both.<br></p><p>Drop questions, feedback, or what you're building below — I'll be here all day 🚀<br></p><p>— Sergei</p>",
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"body": "<p>the 9x faster claim is interesting but faster than what exactly. the baseline matters a lot here. sub-300ms felt like magic two years ago and now it's table stakes for anything calling itself real-time. curious what the actual latency numbers look like end to end, not just the generation side</p>",
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"body": "<p>the active listening part is what separates this from every other avatar tool. current ones just talk at you with dead eyes while you wait. if the expression matching actually works in real time this changes how you build AI sales and onboarding flows</p>",
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