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 Introduction00:00:27 Introducing Andrew Yates00:00:50 Andrew’s Programming Background00:04:19 Andrew at Promoted.AI00:08:17 What is a Marketplace?00:17:45 Marketplace Rankings00:22:50 Short-term vs Long-term Experience00:24:43 Machine Learning and the Marketplace00:34:57 Measurements00:37:09 Promoted.AI Integration00:38:31 How Promoted.AI Measures Success00:41:14 Auction Theory00:46:08 Experience with YCombinator00:50:34 Promoted.AI as a Company00:55:47 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: [email protected] You can also follow Programming Throwdown on Facebook | Apple Podcasts | Spotify | Player.FM  Join the discussion on our DiscordHelp support Programming Throwdown through our Patreon 

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