Ben Carr
@benatanam
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building realtime avatars @Anam
London, England
Joined November 2024
Introducing cara-3, the fastest real-time avatar model on the market. Cara model delivers unmatched realism with sub-180ms response times, setting a new industry standard. 70% of users prefer video over voice. Every pixel is generated in real time, unlocking natural eye
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Anam is part of the relaunched AI Startup Pack by Fin. We're in good company, alongside @ElevenLabs, @Cloudflare, @incident_io, @Attio, and more. Build with interactive avatars that respond in real time, look realistic, and deploy via API. No upfront cost for 7 months.
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pip install pipecat-anam Repo and working example: https://t.co/zaBqDobkuH Thanks @kwindla and team @pipecat_ai
github.com
Anam video avatar service for Pipecat. Contribute to anam-org/pipecat-anam development by creating an account on GitHub.
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Our pipecat contribution just got merged. Anam is now listed as an official community video integration in the pipecat ecosystem. In case you don't know, pipecat is Daily's open-source framework for building real-time voice agents. 10.5k GitHub stars, used by NVIDIA, Mercor,
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Today we're releasing cara-3, our latest face-generation model. In an independent blind study, participants preferred Anam's interactive avatars over other providers across every metric measured. But why do we care about avatars to begin with? https://t.co/e4RhlhIAN9
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We're open sourcing the backbone to our data pipeline. It's called Metaxy and it solves some of the hardest parts of a modern, scalable pipeline. At Anam, we’re building a platform for real-time avatars. One of the core components powering our product is our own video generation
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Anam now has a Python SDK https://t.co/X2hqHb0WmR What's in the box? - webrtc media handling; connect and get synced audio/video frames back - full pipeline (STT → LLM → TTS → Face) or bring your own components - live transcriptions from user and avatar, useful for captions
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https://t.co/8Dyxda6jhk is still the best primer on voice agents i know of. Was really useful for me when initially building out our platform. eg seeing the latency breakdown in this image is humbling. You have such a limited budget to get sub second responses once you factor in
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Don't quite get the clawdbot hype ngl. What can you do with it which you can't easily do with Claude Code + tailscale + mcps?
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If you know a Growth Marketer who can build our demand engine from 0 -> 1, we'll give you a $15k referral bonus.
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.@ManusAI has gotten real good. If you haven't tried in a while have another go. Like if claude code + loveable had a baby. - seems to be an emphasis on building useful rather than flashy: without asking for it each feature is tested, while also testing for regressions across
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New independent benchmarking from @mabyduck: "On average, participants significantly preferred interactions with Anam’s avatars over all other avatars (p < 0.001)." • Sample size: 178 participants • Competitors: Anam, HeyGen, Tavus, D-ID • Result: Anam preferred across all
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.@livekit x Anam is now production-ready. As an ex of what's possible @stukennedydev wired up Gemini Live tool-calling, screensharing, and our avatars to create a fully functional website assistant who can see your screen and take browser actions. Code:
github.com
Anam LiveKit Demo - AI Onboarding Assistant. Contribute to anam-org/anam-livekit-demo development by creating an account on GitHub.
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