Learn how to evaluate, build, scale and monetize network effects — the secret to building valuable companies.
According to a study by NFX, 70% of the value created in tech can be attributed to network effects. That said, network effects can also be complex and nuanced, leading to missed opportunities and wasted effort. This course will help you avoid these mistakes by identifying the strongest and weakest types of network effects. Whether you are a founder, operator or investor, this course will give you the tools to effectively scale, measure and monetize them.
This course is built on frameworks derived from case studies like Uber, Airbnb, Shpock, Opentable, Treatwell, Homejoy, Shyp, Moviepass, Spotify, Vestiaire Collective, Opendoor, Upwork, Poshmark, Autotrader, Classpass, Leaflink, Docplanner, Facebook, Snapchat, Discord, Slack, Zoom, Carta, Meerkat, Houseparty, Paypal, Linkedin, Venmo, XANT, Tripadvisor, Waze, Moovit, Grammarly, Transit, Xbox, iOS, Android, Roku, Salesforce and Shopify.
In addition, learning to apply these frameworks is a key component of the course. In half of the live sessions, you will be applying these frameworks in live, group exercises.
You are building an early-stage startup and are trying to develop network effects
You want to understand network effects to screen investment opportunities and support portfolio companies
Product & GTM Leaders
You work at a company that is built on network effects and want to leverage them better or enhance them
The four different types of network effects — marketplaces, interaction networks, data networks, and platforms — and frameworks to assess the efficacy of each type
For each type of network effect, understand factors that influence growth, unit economics and barriers to competition
Understand factors that can make it more difficult to overcome the cold start problem and strategies to achieve liquidity — and how they differ across different types of network effects
Identify monetization options available to network effect businesses and how they are influenced by the type of network effect
Understand the difference between virality and network effects — and how to combine them
How you can layer multiple forms of network effects — to strengthen defensibility and scalability even further
How you can maximize positive network effects and minimize negative ones
How you can identify the most important metrics for each network type, and how you can measure them
Applied Network Effects
Jan 16—Jan 21
Tue, Jan 16, 5:00 PM - 7:30 PM UTC
Thu, Jan 18, 5:00 PM - 7:30 PM UTC
We will first cover the definition of network effects, their properties and basic taxonomy. After this, we will dive deeper into marketplaces, leveraging case studies like Uber, Airbnb, Vestiaire Collective and many others.
Jan 22—Jan 28
Tue, Jan 23, 5:00 PM - 8:00 PM UTC
Thu, Jan 25, 5:00 PM - 7:30 PM UTC
We will start by diving deeper into interaction networks, leveraging case studies like Facebook, Snapchat, Discord, Slack, etc. Following this, we will explore data networks with the help of case studies like Waze, Moovit, XANT, and many others.
Jan 29—Feb 2
Tue, Jan 30, 5:00 PM - 7:30 PM UTC
Thu, Feb 1, 5:00 PM - 7:30 PM UTC
In the final module, we will unpack platforms, leveraging case studies like iOS, Salesforce, Roku, etc. Following this, we will explore how to layer, curate and measure network effects with the help of case studies like Poshmark, Twitter and many others.
Pedro Claveria Gonzalez
Henrik Wetter Sanchez
Creator of Breadcrumb.vc | Venture Partner at Speedinvest | Atomico Angel
Sameer is an early-stage investor focused on network effects. He is the creator of Breadcrumb.vc, a globally renowned resource on network effects. He is also a Venture Partner at Speedinvest and part of the Atomico Angel Program.
Previously, he was the global director of consulting at App Annie (now called Data.ai) — an app market data company that raised $160M from leading VC firms like Sequoia and Greycroft. In this role, he advised leading companies like Spotify, Shpock, and Trainline. Before moving to Europe with App Annie, he was an early-stage VC in India where he first began exploring network effects.
5:00 PM - 7:30 PM GMT
Sessions will be held on Tuesdays and Thursdays for the 3-week duration of the course.
Tuesdays: Theory and frameworks relevant to different forms of network effects.
Thursdays: Apply frameworks to real-world examples in live group exercises.
Every session will be recorded, so you can watch it again if you have to miss one, or just want a refresh on the material.
Active, not passive
This course focuses on live workshops and hands-on projects
Learn in public
You’ll be learning in public through breakout rooms and an engaged community
Learn with a cohort of peers
Surround yourself with like-minded people who want to grow alongside you
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