This week’s podcast is about network effects, as described by James Courrier and NFX.

You can listen to this podcast here, which has the slides and graphics mentioned. Also available at iTunes and Google Podcasts.

Here is the link to the TechMoat Consulting.

Here is the link to the China Tech Tour.

Here is the NFx Network Effects manual.

Here are NFX's 16 network effects, in order of strength:

1. Physical (e.g. landline telephones)
2. Protocol (e.g. Ethernet)
3. Personal Utility (e.g. iMessage, WhatsApp)
4. Personal (e.g. Facebook)
5. Market Network (e.g. HoneyBook, AngelList)
6. Marketplace (e.g. eBay, Craigslist)
7. Platform (e.g. Windows, iOS, Android)
8. Asymptotic Marketplace (e.g. Uber, Lyft)
9. Data (e.g. Waze, Yelp!)
10. Tech Performance (e.g. Bittorrent,Skype)
11. Language (e.g. Google, Xerox)
12. Belief (currencies, religions)
13. Bandwagon (e.g. Slack, Apple)
14. Expertise (Figma, Microsoft Excel)
15. Tribal (Apple, Harvard, NY Yankees…)
16. Hub-and-Spoke (TikTok, Medium, Craigslist)

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Related articles:

• 3 Types of Network Effects (Asia Tech Strategy – Daily Lesson / Update)
• Questions for Huawei’s CEO, JD & Jingxi, Metcalfe’s Law Is Dumb (Asia Tech Strategy)

From the Concept Library, concepts for this article are:

• Network Effects
• Data Advantages and Network Effects
• Embedding
• Bandwagon Effects

This content (articles, podcasts, website info) is not investment, legal or tax advice. The information and opinions from me and any guests may be incorrect. The numbers and information may be wrong. The views expressed

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