Enroll now to join this live cohort based course led by Andrei Hagiu and Julian Wright
Building and investing in
Learn how to rigorously evaluate the upside potential of network effects and how to make design choices that enhance their defensibility.
4 x 2 hr sessions
4pm PST; Aug 30; Sep 1, 6, 8
Join a live AMA with the instructors
and get your questions answered
Andrei Hagiu and Julian Wright are leading experts on platform businesses and network effects, on which they have done research, consulting and investment work for over twenty years.
Together, they have published dozens of professional economics articles, nine Harvard Business Review articles, and a Substack newsletter, all focused on various aspects of platform strategy. They are also active angel investors in platform businesses, having invested in hundreds of startups (including Dapper Labs, Grin, OpenSea, Papa and Turing) and provided advice to many.
Andrei has taught MBA and executive education courses on platform strategy at HBS, MIT and Boston University for over 15 years. He has also consulted with ADP, Equifax, Hearst and Intuit – all on the topic of how to transform products into platforms.
Julian has taught executive courses on platform strategy and on winning with data at NUS and has consulted with Facebook, MasterCard and Visa, as well as competition authorities and regulators interested in digital platforms.
About Andrei & Julian’s
Platform businesses leveraging network effects have become the most powerful businesses in the world. Indeed, today they include many of the world’s most valuable companies. Not surprisingly, there are thousands of early-stage startups attempting to leverage network effects in order to become the next Airbnb, Alibaba, Facebook, Google or Uber. Meanwhile, many established companies are attempting to transform their products or services into platforms with network effects, or to expand their existing network effects. A few of these projects will succeed and most will fail. Partly because of poor execution, and partly because of unrealistic claims and expectations about the defensibility that network effects can create for their specific businesses.
Participants in this course will learn how to rigorously evaluate the upside potential and defensibility of business opportunities with network effects:
To answer these questions, we will leverage economics concepts and frameworks that we have developed during our over 20 years of research on platform businesses, and that we use extensively in our own consulting and angel investing activities. We will apply these frameworks to discuss a wide range of startups and mature tech firms.
What are the different types of data-enabled learning and what factors determine the extent of compounding competitive advantage businesses can obtain from data?
Under what conditions does data-enabled learning lead to network effects and how do data network effects compare with regular network effects?
What are the most promising business applications of data and AI?
What are the key metrics to focus on when growing network effect businesses, and how do they differ based on the stage of the business?
How to achieve minimum critical liquidity?
What are the common pitfalls to avoid when scaling businesses with network effects?