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Building a $1M+ Vertical SaaS Business

by @gregeisenberg

Business Business★★★★☆ principles

ABOUT THIS SKILL

Luke Sophinos shares a decade-long playbook for identifying, validating, and scaling vertical SaaS companies in "boring" but lucrative niches. The approach is presented as a science, not art, emphasizing market selection, wedge products, and ROI-based pricing.

TECHNIQUES

industry mappingwedge product designroi based pricingend to end workflow mappingp and l analysiscompetitive landscape analysisgo to market modelingtransaction capture strategy

KEY PRINCIPLES (13)

Market Selection

Pick an industry, not an idea.

Start by scoring industries on revenue size, number of companies, and healthy segmentation (mix of SMB, mid-market, enterprise). Example: machine shops ($240B revenue, 22k companies, fragmented).

Why: A well-segmented market lets you start small and climb up-market without massive upfront capital.

"I think vertical SaaS is much more of a science than an art... you have to focus on an industry... not an idea."

Market Selection

Avoid top-heavy industries dominated by a few large players.

Industries with only thousands of enterprises (e.g., 2,500 surgical hospitals) require heavy feature sets and long sales cycles.

Why: SMB-friendly segments allow faster entry with minimal features and lower CAC.

"I hate top heavy industries... Selling into the enterprise is incredibly difficult."

Discovery

Map the entire end-to-end workflow of the target business.

Visualize every operational step—e.g., Toast’s restaurant map or CourseKey’s trade-school journey (admissions → training → placement).

Why: Reveals paper processes, legacy software gaps, and horizontal-tool stitching that a vertical solution can replace.

"you have to map out the entire customer journey and the entire operations of the businesses within the industry"

Discovery

Follow the money via P&L deep dives.

Collect P&Ls from bankers, public filings, and owners to see where dollars go—people, software, compliance, etc.

Why: Identifies high-cost pain points that software can reduce or monetize.

"get your hands on as many P&Ls as possible... understand where are these companies spending money."

Discovery

Validate workflows in person with free shadowing.

Offer to buy lunch for shop owners in exchange for a day of observation; blue-collar owners are surprisingly open.

Why: Desk research ≠ reality; on-site validation confirms paper processes and user pain.

"I'll buy you guys lunch today if you just let me shadow the operation for today... you'd be shocked."

Product Strategy

Launch with a wedge product that solves one painful step.

Choose a high-value, poorly served workflow (e.g., Roofer.com’s instant roof-quote tool) that’s quick to deploy and proves credibility.

Why: Reduces time-to-value, lowers switching friction, and seeds upsell paths to the eventual all-in-one platform.

"nobody starts there, nobody ever starts there... find an area where it's on paper... it's your reputation prover."

Product Strategy

Design wedge products to capture the transaction.

If the wedge sits before or after payment flow, integrate payments later to unlock percentage-based revenue (e.g., Toast’s 1-2% take rate on $1T restaurant spend).

Why: Turns a $120 M SaaS TAM into a multi-billion-dollar payments TAM.

"if you can build a wedge product before or after the transaction, you can eventually own the transaction."

Go-to-Market

Model distribution before building.

Study how prior vertical SaaS winners acquired first 10, 100, 1k customers; many rely on outside sales, but product-led or marketing-led motions scale faster.

Why: Great product without distribution dies; GTM constraints determine ceiling.

"you have to be understanding of the distribution piece... a great product without users is a shitty product."

WHAT'S INSIDE

PRINCIPLES
8
TECHNIQUES
13
EXPERT QUOTES

This is a structured knowledge base — not a prompt file. Your AI retrieves principles semantically, understands the reasoning behind each technique, and connects to related skills via a knowledge graph.

Compatible with OpenClaw · Claude · ChatGPT

principles · semantic retrieval · knowledge graph

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