Count buyers, not dollars
TAM, SAM, SOM for AI Startups: A Bottom-Up Sizing Example
TAM, SAM and SOM explained with a worked bottom-up example for an AI startup, using a public government count, and every assumption written down.
Blog · page 5 of 5
Write-ups on validating an AI startup idea before building it: what the evidence says, what founders get wrong at go-to-market, and what we learn running the playbooks with them.
Count buyers, not dollars
TAM, SAM and SOM explained with a worked bottom-up example for an AI startup, using a public government count, and every assumption written down.
One buyer, named
How to build an ideal customer profile for B2B SaaS from evidence: the six fields to fill, a scoring sheet, and how narrow your first market should be.
The template, filled in
A go-to-market strategy template with every field filled in for a real B2B example: buyer, champion, alternatives, message, channel, price and 90-day targets.
Five decisions, first customers
A go-to-market strategy for an AI startup in five decisions: first buyer, positioning, channel, price and sales motion, built from evidence, not guesses.
Check the sources first
How to choose an idea validation tool: six things to check (sources, stated assumptions, a real no, next steps) and a 30-minute test before you pay.
Demand first, code later
Market validation before you code: the market signals worth checking, four demand tests that need no product, and how to read the results honestly.
Evidence before you build
A business idea validation checklist: the five pieces of evidence to collect before you build, what counts as proof, and what is only encouragement.