The Ex-Meta Engineer Building a Profitable Business Around Old Maps

Craig Campbell, a former Meta engineer, founded Past Maps in 2022 after stepping away from opportunities to chase AI investments. The business digitizes and sells access to historical maps—serving genealogy researchers looking for family history records and industrial users mapping out where oil wells used to be located.

What makes Campbell's move notable: while venture capital was flooding into AI startups, he deliberately chose to build what many would call an "analog" business instead. Past Maps operates profitably without external funding, a stark contrast to the venture-backed startups burning through cash to scale fast.

Why Historical Maps, Not AI

Campbell's previous company sold e-commerce tools to Shopify merchants. When he sold that in 2022, he faced a choice: join the rush toward artificial intelligence infrastructure, or pursue something different.

He picked the maps. Past Maps is a web-based platform where users can search for and access historical cartographic data—maps that predate satellite imagery and modern surveying. The customers are genealogy researchers tracing family trees and industrial companies in oil and gas looking for historical well locations and property boundaries.

These are straightforward use cases with clear demand. Ancestry.com and MyHeritage have built substantial public companies around genealogy. The oil and gas industry consistently needs accurate historical records that contemporary mapping tools simply do not provide.

How It Works and Why It Works

The technical details of how Past Maps stores and serves its maps haven't been publicly disclosed. But Campbell's background building systems at Meta—a company obsessed with serving billions of users—likely informed how he architected the platform for reliability and speed, even though his actual audience is far smaller and more specialized.

What matters more than the technical particulars is the business model. Campbell has achieved what most venture-backed startups chase for years: steady profitability with no external investors. This works because the customers are willing to pay for access to specialized historical data, and the service itself is lean.

That is a different calculation than, say, competing to build AI infrastructure, where you need to raise tens of millions of dollars to stay in the game.

What This Pattern Tells Us

The broader context here: we have seen this before. During the dot-com era, many niche business-to-business services that served specific industries survived, while flashy consumer platforms with unclear ways to make money fell apart. When smartphones became ubiquitous, focused utility apps built lasting businesses alongside the epic platform wars between iOS and Android.

Campbell's bet is that specialized vertical solutions—businesses that serve a narrow, underserved slice of the market—can be more durable than trying to build the next big platform. Historical maps are not glamorous, but they are valuable to a specific group of people who will pay for them.

In this author's view, there is something worth flagging here as well. Campbell walked away from the obvious path—following the capital, chasing the hype—and instead identified an unglamorous gap in the market. For many engineers coming up in the industry now, that kind of alternative thinking matters. The venture capital machine is powerful; it shapes what gets built and who gets celebrated. But it is not the only path to building something real and profitable.

The Broader Implication

For technical entrepreneurs with experience at large companies, Past Maps offers a case study in a different way to think about a career. You do not have to chase massive venture funding or compete in superheated markets to build a sustainable business. Campbell's move suggests there are pockets of demand—in genealogy, industrial mapping, historical research, and other specialized domains—where technical expertise can create real value without requiring a hundred-million-dollar fundraise.

The skills he developed at Meta around building scalable systems are transferable. They just get applied at a smaller, more focused scale. And the unit economics are better: if you have a customer base willing to pay directly for what you build, you do not need growth-at-all-costs.

That is not a trend. But it is a reminder that technology careers and business building have multiple viable shapes.