How We Got LLMs to Recommend Our Open Source Library (Without Paying or Plug-ins)
Over the past year, we’ve seen a new distribution channel emerge: AI assistants. Instead of SEO, ads, or integrations, developers are discovering tools through models like Claude. In this talk, I’ll break down how we got our open source library recommended organically by LLMs in under a year, without plugins, paid placements, or partnerships. We’ll cover what actually influences model outputs today, how developer-first products behave differently in this channel, and the practical steps we took to make our project show up when it matters. This is not theory. It’s a real case study of how distribution is changing, and how you can design your product and content to be picked up by AI systems directly.
About the AI in GTM Track
AI in GTM sessions at AI Engineer World's Fair 2026 in San Francisco.
When
Thursday, July 2, 2026
1:55 PM - 2:15 PM·20m
Where
Track 6 · Room 2014
Capacity: 250 attendees
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Speaker
Christopher Burns
Founder & CEO
Inth
@burnedchris
Christopher Burns is the founder of Inth, building developer-first privacy compliance infrastructure for modern software teams. Inth started with c15t, an open-source consent SDK with 2.6M npm downloads, used by teams including Vercel, Cal.com, Zed, Infisical, Sanity, and others. Inth helps companies move privacy compliance closer to the product itself, giving developers infrastructure for consent, data rights, policy enforcement, and evidence instead of slow dashboard-first tooling. Christopher is a second-time founder and first-time YC founder. His previous company, Everfund, built enterprise nonprofit donation infrastructure and exposed the compliance problems that led to Inth: the deepest privacy failures are usually not in policy docs, but in the product itself.