Autonomous GTM Hack with OpenAI and AGI House
We teamed up with AGI House, OpenAI, Vultr and Tavily on the Autonomous GTM Hack in San Francisco: a day of builders shipping GTM systems that run themselves.
In short
A day at AGI House in San Francisco with OpenAI, Vultr and Tavily. The goal: show what a go-to-market looks like when agents run it, from product to revenue. Workshops in the morning, then a hackathon with OpenAI Codex credits across three tracks.
We teamed up with AGI House, OpenAI, Vultr and Tavily on the Autonomous GTM Hack at AGI House in San Francisco. The brief on the poster was simple: build GTM systems that run themselves.
The goal
Most go-to-market is still stitched together by hand: a list here, a sequence there, posts and reports that someone has to remember to do. The goal of the day was to show what it looks like when agents run that loop instead, from a product all the way to revenue: find the market, choose the move, ship it and learn from the result.
We wanted builders to leave with something running, not a slide. That is why the day ended in a hackathon.
The workshops
The morning was talks from people working on AI research and GTM, including a virtual session from Stanford professor Hamza Farooq. My talk, Product → Revenue, walked through the steps between a product and its revenue, and which of them agents can already run.
The hackathon
In the afternoon, teams built with OpenAI Codex credits across three tracks. Each one is a piece of an autonomous GTM engine:
- GTM intelligence benchmarks: how well an agent understands a market, measured so you can compare one against another.
- Content engine agents: agents that research, write and publish, so buyers find you.
- Adaptive sales agents: agents that reach out and learn from every reply.
Why we did it
It is the same problem we work on every day: a go-to-market that runs as one system and gets better with every result. A room of builders shipping pieces of that in a single day is the best sign yet of where GTM engineering is going.
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Resources
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