Pitch & Run GTM Lab

Founder-led sales, turned into a system.

A practical GTM workspace for founders: ICP, sales story, target lists, call reports, pipeline stages, pilots, expansion, and the hires that make the motion repeatable.

01 Diagnose the leak 02 Open the operating modules 03 Model the pipeline 04 Use the source library

Microsite premise

This is a working room for GTM decisions.

The operating library covers 43 linked files, 6 bonus files, 44 transcribed sources, and 10 operating categories. The public version turns that work into a usable founder tool while private materials stay private.

Kevin Weatherman Operator pattern

Start with customer truth.

Find why current users buy, who uses the product, and what value they describe in their own words.

KW Angel founder help visual Sales system

Turn proof into repeatability.

Codify the story, target list, call reports, stage rules, trial success, QBRs, and hiring plan.

KW Angel network visual Founder path

Use it in the next conversation.

Bring the deck, pipeline assumptions, messy objections, and target accounts into a sharper working session.

Interactive diagnostic

Find the weakest GTM link.

Score the current motion. The playbook will point to the first system that needs attention.

Playbook map

Eight systems, one motion.

Click each module to see the question, the operating principle, the artifact family, and the next actions.

Stage planner

What to do next depends on how repeatable the sale is.

Pipeline math

Pressure-test the motion before hiring around it.

Change the assumptions and watch expected pipeline value move. This is deliberately simple; it forces a founder to understand the levers.

Expected new ARR from this batch

Motion choice

SMB vs. Enterprise is mostly a GTM decision.

Artifact library

The operating archive becomes a founder toolkit.

Distilled from Kevin's GTM source docs and operating transcripts. Raw founder and company artifacts stay private by default.

GTM working session

Bring the deck, the target list, and the messy truth.

Kevin is most useful when there is enough real customer signal to sharpen ICP, sales story, investor narrative, pipeline assumptions, and the next GTM hires.