Show HN: GenimeLabs, vector-based AI videos built for clarity, not realism

Hacker News - AI
Aug 4, 2025 07:36
bansaltushar92
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Summary

GenimeLabs is developing a new approach to generative video that prioritizes clarity over realism by using vectors and code instead of pixel-based models. This method enables the creation of precise, modular, and reusable videos, making it especially useful for educational and technical content where semantic coherence is crucial. The project highlights a shift in AI video generation towards programmatic storytelling, addressing the limitations of current models in communicating complex ideas clearly.

We’ve been experimenting with generative video for a while, and ran into a core limitation: current models are great at realism, but often fail at clarity. Try asking them to generate a simple origami tutorial or an animated concept explainer - you usually get something visually stunning, but semantically incoherent. The reason: most generative video models operate at the pixel level. They're optimized to mimic reality, not to communicate ideas. At GenimeLabs, we're exploring a different path — Programmatic Storytelling, where generative media is built using vectors and code, not just pixels. Think modular, editable, consistent objects — more like Figma components than video frames. This approach has tradeoffs, but it unlocks something powerful: videos that are precise, structured, and reusable, better suited for explainer animations, educational content, technical walkthroughs, etc. Still early, but we’re opening up to early users. Curious to hear what this crowd thinks — especially a

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