Show Me Your Stack
One GTM engineer per episode, 15 to 20 minutes, no theory, just the actual stack on screen, free video teardowns on YouTube and full architecture breakdowns for paid subscribers
Eight Foundational Laws. More than a dozen architecture breakdowns. All the structural theory behind why GTM systems break and how to rebuild them.
This series shows the build.
Show Me Your Stack is the teardown. One GTM engineer per episode. 15 to 20 minutes. No theory. No frameworks deck. 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, quantified: 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.
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, 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.
Where every team actually is
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.
How it works
Video episodes go live on YouTube, free. The structural breakdowns, mapping each build back to the Revenue Architecture layers and Foundational Laws they touch, publish here for paid subscribers.
One episode per week. Same structure every time. The guest changes. The rigor does not.
Start here
SMYS 1 | Review Intelligence as a GTM Signal Layer How Vinayak Mishra built a five-tool pipeline to extract buying signals from restaurant reviews for Slang AI.
SMYS 2 | MCPs vs APIs in a Production Enrichment Pipeline Alexander Shartsis walks through Skyp’s twelve-MCP Claude Code setup and why the production pipeline drops to direct APIs when volume and cost matter.
SMYS 3 | From Clay Tables to Intent HQ: Building the BDR Action Layer Why Garrett Wolfe stopped trying to fix BDR prospecting inside the CRM and built a Claude Code action layer on top of it, the system behind $15M in pipeline in 12 months.