133: Solving for the Marketplace Problem with Andrew Yates


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By Patrick Wheeler and Jason Gauci, Patrick Wheeler, and Jason Gauci. Discovered by Player FM and our community — copyright is owned by the publisher, not Player FM, and audio is streamed directly from their servers. Hit the Subscribe button to track updates in Player FM, or paste the feed URL into other podcast apps.

As anyone who listens to the show regularly knows, I've always been fascinated by marketplaces. How do we figure out what to charge for something, and how do we match buyers and sellers? How does a company like Uber match drivers to riders so quickly? Today we have Andrew Yates, Co-Founder & CEO at Promoted.ai, to talk about marketplaces and how to optimize for this two-sided problem.

00:00:15 Introduction

00:00:27 Introducing Andrew Yates

00:00:50 Andrew’s Programming Background

00:04:19 Andrew at Promoted.AI

00:08:17 What is a Marketplace?

00:17:45 Marketplace Rankings

00:22:50 Short-term vs Long-term Experience

00:24:43 Machine Learning and the Marketplace

00:34:57 Measurements

00:37:09 Promoted.AI Integration

00:38:31 How Promoted.AI Measures Success

00:41:14 Auction Theory

00:46:08 Experience with YCombinator

00:50:34 Promoted.AI as a Company

00:55:47 Farewells

Resources mentioned in this episode:

Andrew Yates, Co-Founder & CEO at Promoted.ai:


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174 episodes