Hypit

Hypit lets you take a reference video and clone its structure into a workflow you can edit and repeat. It’s aimed at creators and teams who want to scale video variants while keeping control over what changes in the edit, not just generate short clips.

• Full-video cloning: keeps face, lines, B-roll, captions, and effects as part of the cloned output
• Word-anchored editing: edits are tied to words or script selections instead of seconds, so changes stay consistent as the video structure shifts
• Editable, repeatable workflow: you can reuse the same “video plan” and generate variations from it
• AI-agent creation: agents plan, generate, and assemble the video from a description
• Batch scaling: supports running many variants in one go (the source lists “10, 50, or 100+ per run”)
• BYOK control: you can use your own model (BYOK) or use Hypit’s API
• Open-source: you can fork, modify, and self-host the core

If you’re trying to turn a proven viral format into repeatable production, Hypit’s biggest difference is that it’s not only about remixing a template or generating clip snippets. It rebuilds shots, pacing, captions, and effects from your content, then lets you edit the result at the level of dialogue and script segments.

The documentation-style example shows a script with segments and selections, plus B-roll items that get inserted during specific script selections (so the system can keep captions and visual inserts aligned to the spoken content). Compared to approaches that only generate short clips, it’s positioned as full-video cloning with batch generation and open-source control.