Goat Studio: a content label for data-rich brands

The problem

Brands sit on piles of data that would make great content, but turning data into short-form video that actually performs is slow, manual, and mostly guesswork. Most teams ship one take and hope. I wanted the opposite: generate many cuts, score them before anything goes live, and only release the greatest one.

What I built

Goat Studio is a content label. It signs a brand’s data, masters every cut, and ships short-form built to chart. The public site at goatstudio.io is the storefront; behind it lives the actual studio: a builder, an eval harness, and a render pipeline that runs the roster (Goat Music, Goat Gaming, Goat Auto, Goat Builds).

The pitch on the homepage is the product loop in three steps: built from your data, scored before it ships, only the greatest go live.

How it works

• Next.js 15 App Router with server components by default, TypeScript strict, and a custom design token system with Fraunces and JetBrains Mono.
• One repo, two faces: the public storefront and the working studio live together, so the site and the production tooling never drift apart.
• Quality gate before publish: every cut gets measured against what the data says performs before it ships. The specifics of that loop are the product, so they stay in the studio.
• Boring, reproducible deploys on Vercel, with database changes applied as part of the release rather than by hand.

What I’m learning

This is the project teaching me to productize a creative process. The hard part is not producing video, it is making “only the greatest go live” true rather than a slogan. That borrows a lot from how I think about SEO at Snap: define what “performs” means, measure it honestly, and let the measurement drive what ships.