Distro Signal Engine

End-to-end content repurposing demo

Long-form market talk,
recut into distribution-ready assets.

Paste a public finance YouTube URL. Distro extracts the transcript, runs a structured OpenAI prompt, and returns a Twitter thread plus a LinkedIn carousel outline in one JSON payload.

01

Transcript

Pull caption text from a YouTube URL and normalize it into model-ready input.

02

Repurpose

Use OpenAI to transform the transcript into an 8 to 12 tweet thread and a 5 to 7 slide carousel.

03

Structure

Return strict JSON so the output can feed publishing, approvals, or downstream automation.

Demo console

Generate the assets

Seeded with a public finance explainer URL so the workflow is immediately runnable once the required server env vars are set.

Output lands as strict JSON and is also rendered into channel-specific panels below.

Twitter / X Thread

Awaiting generation

Paste a URL and run the server pipeline to populate the thread.

LinkedIn carousel

Awaiting generation

The LinkedIn outline will appear here as a slide-by-slide deck.

Structured output

JSON contract

Designed for downstream review and publishing workflows.

{
  "source": "waiting for generation"
}