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reverse-engineer-higgsfield

Upload an AI video (Higgsfield & co), get the fal.ai flow that makes it. Rust CLI + web app + MCP. Built by DansUGC.

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GITHUB · launched Oct 18, 2026 · 25 upvotes (top 55%)

Similar launches

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Could you build this?

Partial The CLI, web app, and MCP wrapper are straightforward, but the core claim of recovering the exact generation flow and parameters from a finished AI video is an unsolved inference problem that vibe coding cannot produce reliably.

What it would actually take: The stack would be a Rust CLI and web front end with an MCP server, backed by a pipeline that extracts frames and audio and queries a multimodal model to guess the model, prompt, and fal.ai parameters. The hard part is accurate inference from output alone, which requires computer vision and ML research skills, plus a curated library of known model signatures and access to fal.ai's model catalog and APIs.

Competitors

Other products that read as similar to this one : 22 launches clear the similarity bar, closest 8 shown.

Attention rank: #13 of 23 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 257 days after the earliest competitor.

Other launches for this product