The Deepest Moats Are Built in the Dirt

Most African engineers are looking for the cleanest possible problem to solve. Pure software, no regulators, no operational complexity, no messy partnerships. Ship fast, scale forever.

That's fine. But it also means you're competing with thousands of other engineers chasing the exact same opportunity.

Here is the truth most people avoid: many of the world's highest-value businesses don't start as software problems. They start as coordination, infrastructure, regulatory, manufacturing, distribution, and data-collection problems. The technology layer comes after.

The Moat Nobody Wants to Build

Take a fragmented industry where licenses and approvals are scattered across ten different institutions. Everyone complains about how inefficient it is. One company decides to do the painful work instead. Build relationships, handle compliance, sign partnerships, standardize the rails. Then they build a single API on top and sell access to everyone else who doesn't want to go through that complexity.

The moat was never the API. The moat was the two years of operational work nobody else was willing to do.

Data as a Compounding Asset

The same logic applies to data. There are industries where the highest-quality signal lies in expert judgment and institutional knowledge that was never digitized. Most people rush to build AI using whatever publicly available data is available. A smarter company spends years collecting the right data first, partnering with experts, embedding into workflows, and capturing feedback loops nobody else has access to.

Then they train models on top and sell intelligence back into the market. Every customer interaction improves the dataset, every transaction strengthens the model, and at some point, competitors cannot buy their way into that advantage, no matter how much they raise.

That is a technology company. Just built differently than most people imagine.

Distribution Completes the Picture

Once the system exists, distribution becomes the next thing that matters. A strong product with weak distribution struggles. A strong system with strong distribution compounds. Find someone exceptional at growth: a real operator, a strong marketing partner, someone with genuine skin in the game.

Most engineers avoid these problems because they're slower, messier, and less elegant than writing code. But that's usually where the deepest moats are hiding.

The question worth sitting with isn't just "what can I build?" It's "what difficult thing am I willing to do that most people will avoid, and what technology layer can I build on top that compounds over time?"

That's where enduring companies come from.