Marketplace lessons from Uber, Airbnb, Bumble, and more | Ramesh Johari (Stanford professor, startup advisor)

Ramesh Johari is a professor at Stanford University focusing on data science methods and practice, as well as the design and operation of online markets and platforms. Beyond academia, Ramesh has advised some incredible startups, including Airbnb, Uber, Bumble, and Stitch Fix. Today we discuss:• What exactly a marketplace is, if you boil it down• What you need to get right to build a successful marketplace• How to optimize any marketplace• An easy litmus test to see if there’s an opportunity to build a marketplace in the space• The role of data science in successful marketplaces• Ramesh’s philosophy on experimentation and AI• Advice on implementing rating systems• Why learning isn’t free—Brought to you by Sanity—The most customizable content layer to power your growth engine | Hex—Helping teams ask and answer data questions by working together | Eppo—Run reliable, impactful experiments—Find the full transcript at: https://www.lennyspodcast.com/marketplace-lessons-from-uber-airbnb-bumble-and-more-ramesh-johari-stanford-professor-startup/—Where to find Ramesh Johari:• LinkedIn: https://www.linkedin.com/in/rameshjohari/• Website: https://web.stanford.edu/~rjohari/• X: https://twitter.com/rameshjohari—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Ramesh’s background(04:31) A brief overview of what a marketplace is(08:10) The role of data science in marketplaces(11:21) Common flaws of marketplaces(16:43) Why every founder is a marketplace founder(20:26) How Substack increased value to creators by driving demand(20:58) An example of overcommitting at eBay(22:24) An easy litmus test for marketplaces (25:52) Thoughts on employees vs. contractors(28:02) How to leverage data scientists to improve your marketplace(34:10) Correlation vs. causation(35:27) Decisions that should be made using data(39:29) Ramesh’s philosophy on experimentati