Reverse engineering the fastest growing SaaS, one file at a time.

Evidence-based teardowns of how today's fastest growing AI and SaaS startups actually got built — every publicly knowable detail, organized into one research-backed playbook you can act on.

Case files: 4
Sources analyzed: 150+
Cadence: Weekly
Every file answers: "What would I copy?"

Latest teardowns

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CASE-004 AI / SEO

Outrank

A stalled $400/mo side project relaunched into a $300K/mo SEO machine in 15 months.

$300K+/mo MRR · est. 2024

CASE-003 SaaS / Dev Tools

Featurebase

A bootstrapped feedback platform out of Estonia, scaling on product led SEO.

$120K/mo MRR · est. 2021

CASE-002 AI / Consumer

Cal AI

How two teenagers turned a phone camera into a $30M/yr calorie tracker.

$2.5M+/mo MRR · est. 2024

CASE-001 AI / Creator Tools

Revid

Faceless video automation that rode the short form gold rush to seven figures.

$180K/mo MRR · est. 2023

Why this file exists

Startup content tells you what happened. This tells you what to do.

Public evidence only

Every claim traces to something anyone can verify — interviews, changelogs, pricing pages, rankings. No leaks, no whispers.

Known vs. inferred

Confirmed facts and reasoned estimates are labeled separately. You always know how much to trust a number.

Playbooks, not profiles

The goal is not to admire the founder. It is to extract the specific moves you could run yourself.

One structure, every file

The same rigorous sections every time, so you can compare companies, not just read stories.

The Archive

4 files down. Dozens to come.

Every teardown is built the same way — public evidence only, known kept apart from inferred.