Before co-founding Hivemapper, Ariel Seidman helped scale Yahoo Maps during a period when search and mapping were rapidly evolving. That experience gave him a front-row seat to how large-scale mapping systems are built — and how technical, capital, and organizational constraints shape the pace of innovation at scale.

In this episode of Fund/Build/Scale, he breaks down what it really takes to build a startup against giants: why data moats matter more than UI, how to layer products instead of attacking incumbents head-on, and how insider knowledge can become an unfair advantage — if you’re willing to unlearn Big Tech habits that don’t translate to startups.

We also dig into Hivemapper’s decentralized approach to mapping, the role of physical AI and real-world data, the tradeoffs behind crypto incentives, and why he says the future of maps looks more like a spatial intelligence platform than a navigation app.

(2:11) What is Hivemapper?

(6:34)  Scaling Yahoo Maps: Lessons from an Early Market Leader 

(9:04) Why Capital and Infrastructure Matter More Than Design

(11:49) From Insider to Founder: Deciding to Build Again

(15:00) Customer Discovery at Scale: Coverage, Accuracy, and the Long Tail

(19:10) Beyond Navigation: Maps as a Spatial Intelligence Platform

(22:46) Big Tech vs. Startups: Some Skills Transfer — and Some Don't

(27:31) Building Against Giants by Building One Layer at a Time

(31:39) Creating a Double Flywheel (and Making it Spin)

(45:10) The Final Question

I moved everything off Substack so I can centralize here.

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— Walter.