EDMONTON, AB — February 1, 2026 — Napkin Deals today released Chapter 2 of How I Built a Global AI Organization, the ongoing book by founder and CEO Matthew Liberto. Titled “The Schema,” this chapter chronicles the database architecture that underpins the company's entire deal pipeline — 15 tables spread across 6 data stores, running on Supabase and PostgreSQL at a total infrastructure cost of $25 per month.
The chapter opens with the central challenge every deal platform faces: how to store, classify, and retrieve tens of thousands of transactions in a way that supports both automated workflows and human decision-making. Liberto details the schema design process, from the initial single-table prototype to the mature relational model that now houses over 60,000 deal records with full referential integrity, audit logging, and role-based access control.
Architecture Decisions
The choice of Supabase — an open-source Firebase alternative built on PostgreSQL — was deliberate. Liberto describes evaluating proprietary database services from major cloud providers and concluding that the cost-to-capability ratio was unjustifiable for a lean startup. The Supabase stack provided real-time subscriptions, row-level security, edge functions, and a REST API out of the box, all for a fraction of the cost of managed alternatives.
The 15 tables are organized around core entities: deals, buyers, sellers, matches, communications, tasks, agents, departments, documents, valuations, sectors, geographies, pipeline stages, audit logs, and system configuration. Six distinct data stores handle different workloads — transactional data in PostgreSQL, file storage for deal room documents, vector embeddings for semantic search, key-value caches for agent state, message queues for inter-agent communication, and analytics warehousing for reporting.
The Personal Brand Department
Chapter 2 introduces a structural innovation that distinguished Napkin Deals from typical M&A operations: the creation of a dedicated Personal Brand department staffed by 8 AI bots. The department was conceived not as a marketing afterthought but as a core operational unit responsible for translating the company's deal activity, market intelligence, and organizational philosophy into a continuous stream of public content.
The 8-bot team includes writers, editors, a social media strategist, a press agent, a PR assistant, a designer, a brand strategist, and a content scheduler. Together they produce articles, press releases, social posts, market briefs, and educational content on a cadence that would be impossible for the 7-person human team to sustain alone.
Content Flywheel Encoded in Messaging
The chapter describes how the content flywheel is not managed through spreadsheets or editorial calendars but is encoded directly in the company's messaging infrastructure. When a deal reaches a milestone — a new listing, a qualified match, a closed transaction — the event triggers content workflows automatically. Market intelligence gathered by research agents is routed to the Brand department for synthesis and publication. The result is a self-feeding loop where operational activity generates content, and content generates inbound deal flow.
“Most companies treat their database as plumbing — something you set up once and try not to think about. We treat ours as the foundation of every decision, every workflow, every piece of content we produce. A $25-a-month database is not a limitation. It's a discipline.”
— Matthew Liberto, Founder & CEO, Napkin Deals
Chapter 2 is available now. For the founding story, read Chapter 1: The Napkin. The next instalment, Chapter 3: What I Didn't Know I Didn't Know, will examine the seven critical gaps discovered during the company's pre-launch audit.
About Napkin Deals
Napkin Deals is an AI-powered deal marketplace that connects business sellers with qualified buyers through intelligent deal matching, automated qualification, and institutional-grade execution. Headquartered in Edmonton, Alberta with operations in Miami, Florida, the company maintains a live pipeline of 3,600+ qualified deals representing over $4.9B in enterprise value across 72 countries and 11 GICS sectors. Napkin Deals operates with a hybrid workforce of 38 human professionals and 69 AI employees governed by its published AI Hiring Doctrine.
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