Hilbert Space
A series exploring the frontier of AI, data, and growth with the operators and executives reshaping how consumer brands win long-term.

Inside a Mathematician’s AI Harness for Fortune 500
a16z just led a $28M Series A in Hilbert, a company that puts AI agents to work on growth. One of its first customers is a Fortune 500 company. Most people building with AI agents think more context is the fix. Nazli Tan, cofounder and CEO, who previously led growth at Getir ($12B), thinks the opposite. Context usually means someone writes down what a "good customer" is and the agent runs with it. But those definitions are mostly human guesses. Her answer is that the definition is already sitting in your data. Hilbert trains deep learning models on years of history, and those models decide who's a good customer. Same customer, same answer, every time. Their agents aren't even allowed to do math beyond rounding.

Hilbert Space EP.04: Building for Global Growth with Carles Reina, Baobab Ventures
In this episode, we sit down with Carles Reina, managing partner of Baobab Ventures and a key leader behind ElevenLabs’ global growth. We unpack what it actually takes to build and scale a company across markets, and how AI is changing the way teams think about GTM.

EP.03: The Growth Foundations
In this episode, we sit down with Alex Schultz, Chief Data Officer at Meta (and the person widely credited as the founder of the modern growth practice) to unpack what growth actually is, why most teams get measurement wrong, and how AI is rewriting the implementation of growth's timeless principles. Alex breaks down why growth has never really changed: it's about growing the active users of your product, full stop. We cover that the biggest failures don't come from picking the wrong metric, but from unexamined biases, accidental p-hacking, and top-down pressure to ship what the data says you shouldn't. The perfect metric matters far less than doing the analysis right.

EP.02: The Growth Infrastructure
In this episode, we sit down with Bryan Kim, Partner at a16z, to dig into what growth actually costs when it goes wrong, and what it takes to build the infrastructure to get it right. Bryan spent over five years at a16z backing some of the most ambitious consumer businesses of this era, including ElevenLabs, Function Health, Mirage, Partiful. Before that, he built and ran growth at Snap (from 100 people and zero revenue to 4,000 people and $2B in revenue) and developed firsthand what it means to think about growth as a systems problem, not a metrics problem.
