Programming Throwdown

133: Solving for the Marketplace Problem with Andrew Yates

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: LinkedIn: https://www.linkedin.com/in/andrew-yates-0217a985/ Twitter: https://mobile.twitter.com/ayates_promoted Promoted.ai: Website: https://www.promoted.ai/ LinkedIn: https://www.linkedin.com/company/promoted-ai/ If you’ve enjoyed this episode, you can listen to more on Programming Throwdown’s website: https://www.programmingthrowdown.com/ Reach out to us via email: programmingthrowdown@gmail.com You can also follow Programming Throwdown on Facebook | Apple Podcasts | Spotify | Player.FM Join the discussion on our Discord Help support Programming Throwdown through our Patreon ★ Support this podcast on Patreon ★