GTM Engineer Series: Show Me Your Stack

Real stacks. Real builds. Real systems.

👋 Hi, it’s Rick Koleta. Welcome to GTM Vault - a breakdown of how high-growth companies design, test, and scale revenue architecture. Join 25,000+ operators building GTM systems that compound.

Eight Foundational Laws. Dozens of architecture breakdowns. All the structural theory behind why GTM systems break and how to rebuild them.

Now I want to show the build.

GTM Vault is launching a new weekly series. One GTM engineer per episode. 15 to 20 minutes. No theory. No frameworks deck. Just the actual stack, on screen, in production.

Every episode follows the same structure.

The problem. A specific GTM bottleneck described in operational terms. Not “we needed more pipeline.” The actual broken state: how many manual steps, how many tools, how many hours burned per week on a process that should take minutes.

The build. The guest screen-shares their actual workflows. Orchestration logic. Data flows. Where AI operates. Where humans stay in the loop. Where it broke during the build, because it always breaks somewhere.

The results. Before and after numbers. Time saved, conversion lift, pipeline generated, cost reduced. And the honest version, not the case study version. What they would rebuild differently knowing what they know now.

These are the tools you will see on screen: Clay, Apollo, Instantly, Smartlead, n8n, Make, LangGraph, HubSpot, Salesforce, Outreach, Salesloft, Zapier, PhantomBuster, Apify, OpenAI, Claude, Relevance AI, RB2B, Common Room, and Slack. Not every guest uses the same stack. That is the point. The architecture decisions matter more than the vendor choices.

The Foundational Laws describe the architecture. This series shows what it looks like when someone actually builds against it.

Every GTM team is somewhere on the spectrum between fully manual execution and autonomous agents. Most are in the middle, running orchestrated workflows that partially automate what used to take a team of SDRs or ops people a full week. The interesting question is not whether to automate. It is how the architecture holds up when you do.

That is what this series gets into. Not the pitch deck version of AI in GTM. The production version. Real constraints. Real failure modes. Real economics.

Video episodes go live on YouTube. The structural breakdowns, mapping each build back to the Revenue Architecture layers and Foundational Laws it touches, publish here for paid subscribers.

One episode per week. Same structure every time. The guest changes. The rigor does not.

First episode is live.