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HeyGen Developers
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HeyGen Developers
@HeyGenDev
For developers building on @HeyGen and @Hyperframes_
developers.heygen.com
Joined April 2023
19
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27.9K
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  • Pinned
    user avatar
    HeyGen Developers
    @HeyGenDev
    Jul 25
    One-scene videos are good. Multi-scene videos in one API call? Deterministic output? Better. Happy with it? Turn it into a template and scale even further by just filling the variables. Studio API → developers.heygen.com/studio-videos Template API → developers.heygen.com/templates
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  • user avatar
    HeyGen Developers
    @HeyGenDev
    13h
    a sales agent ran 2,741 live calls solo for 8 weeks. The customer facing layer is open source, built on LiveAvatar. repo: github.com/heygen-com/liv…
    user avatar
    Wayne L.
    HeyGen
    @wayne_liang_
    13h
    Right before our baby arrived, I handed the sales front line to an AI version of me. Here's what happened.
    Article cover image
    Article
    I went on paternity leave. My agent built a $3M pipeline from 2,741 conversations. Here's the code.
    For eight weeks, a clone of me ran our sales front line: 300+ prospect calls a week, 132 new paying customers, 37 enterprise opportunities worth ~$3M. It also made up a price, emailed internal notes...
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  • user avatar
    HeyGen Developers
    @HeyGenDev
    13h
    Ship the take. Not the ums! Filler Word Removal API is live: one call takes a raw recording and returns it clean - fillers cut, dead air gone, no manual editing. API docs → developers.heygen.com/filler-word-re…
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  • user avatar
    HeyGen Developers
    @HeyGenDev
    Jul 27
    The take was perfect. The audio wasn't. Swap the audio, keep the take. Lipsync API re-syncs the lips to match. One call. Precision mode. Lipsync API → developers.heygen.com/lipsync-precis… Batch → developers.heygen.com/batch-lipsyncs
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  • user avatar
    HeyGen Developers
    @HeyGenDev
    Jul 27
    New from HeyGen research: context engineering looks very different when your agent's output is a finished video instead of text. Our team wrote up what we learned shipping video agents -- how we manage multi-modal context, cut VLM costs, and ground models in time and space. Full
    what context engineering looks like when your agent's output is video, not text. Lessons from our team on shipping video agents
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