How to build a Github repo for your revops and GTM system

Free Lesson

How to build a Github repo for your revops and GTM system

Hosted by Michael Slawson and Ben Holley

199 students

In this video

What you'll learn

What belongs in your repo, and what doesn't

Map the customer, team, process, and business context an agent needs, and leave out the noise that confuses it.

Structure your repo so it outlasts your tools

Organize by your GTM motion instead of by vendor/model, and route every change through review so nothing drifts

Set up your repo so agents work the way you want

Give agents memory, current state, and rules they can't ignore, so the repo gets better every time they use it.

Why this topic matters

Every GTM team wants agents doing real work, and most fail for the same reason: the agent doesn't know how the business works. The ICP is in someone's head, the messaging is in a Doc, the lead rules are in a settings screen. You can't prompt around missing context. A repo is where you put it.

You'll learn from

Michael Slawson

Built and sold a 7-figure agency, GTM @ Clipboard Health, Hum Capital, Deloitte

I build revenue engines for venture- and PE-backed B2B companies: diagnosis, systems, and execution. I built my agency from zero to $1M in revenue, completing 50 engagements in under two years with no employees and a few excellent GTM engineers. Then I sold it.

I have a wide range of B2B and finance experience, including:

Grew Clipboard Health's hospital and health systems vertical by 5x over 18 months, into the company's second-largest revenue line.
At Hum Capital, originated 40% of company revenue across ~2,000 direct conversations with founders and executives seeking non-dilutive capital.
At Deloitte Advisory, I underwrote $2.6B of debt financing across five major U.S. infrastructure projects.

Versed in a wide range of GTM tooling and systems.

Ben Holley

10+ GTM systems in production, GTM @ Apero, AirOps, Cyft, Clay, Lightyear

I build the systems that run go-to-market: signal automations, cold email infrastructure, attribution, and AI workflows. At AirOps I influenced $1.7M in pipeline in a single quarter and generated $700K from one lead magnet in a matter of weeks. I have 10+ systems in production, and all of them live in a repo.

I have a wide range of B2B GTM and engineering experience, including:

Employee #2 at Cyft, where I helped the team raise $5M from Base10 and built the outbound and channel partner program from scratch.
Booked meetings with 1% of the Fortune 500 at Lightyear, finishing #1 in outbound accepted meetings for H1 '24 on an enterprise motion I built from the ground up.
$1.6M in pipeline in one quarter as an SDR at PandaDoc, ranking #1 on a 10-person team and then #1 across a 50-person sales org.