About Obaron

Built by Adam Kinney — co-creator of Microsoft Learn, Stripe Docs contributor.

• Co-creator of Microsoft Learn (the developer documentation platform that replaced MSDN, hosting millions of pages of technical content read by millions of developers every month). Led the move from a 25-year-old monolith to the structured, schema-first content model that powers learn.microsoft.com.
• Stripe Docs contributor — the documentation behind one of the most-integrated payment APIs on the web. Worked on the documentation tooling and authoring patterns behind docs.stripe.com.
• 25+ years building developer-platform content systems at scale — content modeling, authoring tooling, schema design, and the bridge between unstructured prose and structured retrieval.

Why Obaron exists

Most developer docs were written for humans. AI agents see about half of it. The patterns that make content discoverable, citable, and answerable by AI engines are different from the patterns that make it readable to a developer. I built Obaron because measuring that gap shouldn't take a week of consulting — it should take sixty seconds and a domain.

The Lightning Scan and the Docs Readiness Audit are both versions of the same question: when an AI assistant has to answer a question about your product, can it find your content, parse it, cite you, and act on what's there? Obaron measures that against a 100-point rubric, deterministically, and tells you what to fix. How AI Readiness is measured →

Get in touch

Email: hi@obaron.ai — I read everything.

I also write about AI strategy at adamkinney.com.