-
Many of the most consequential projects of the internet era — from Wikipedia to Facebook and bitcoin — have all been predicated on network effects, where the network becomes more valuable to users as more peo...
-
Data has long been lauded as a competitive moat for companies, and that narrative’s been further hyped with the recent wave of AI startups. Network effects have been similarly promoted as a defensible force in building...
-
Some of the most successful companies and products have been predicated on the concept of network effects, where the network becomes more valuable to users as more people use it… if managed well.
-
We’ve defined network effects — from what they are and aren’t to how to measure and manage them in practice — but network effects have still always been hotly debated: Where are they, are they rea...
-
Some of the most successful companies and products — from the phone era to the internet era — have all been predicated on the concept of network effects, where the network becomes more valuable to users as mo...
-
The most successful companies and products of the internet era have all been predicated on the concept of network effects, where the network becomes more valuable to users as more people use it. This is as true of compan...
-
Once you have users, how do you keep them engaged, retain them, and even "resurrect" or re-engage them? That's the focus of this episode of the a16z Podcast, which continues our series on the basics of growth from user acquisition to engagement and retention -- covering, as always, key metrics and how to think about them. Especially as many products and platforms evolve over time, so do the users, some of whom may even use the product in different ways... so what does that mean for engagement, and how can startups analyze their users? "Show me the cohorts!" may be the new "show me the money"... Featuring a16z general partners Andrew Chen and Jeff Jordan, in conversation with Sonal Chokshi, the discussion also covers everything from how network effects come in to play (is there really a magic number or "aha" moment for a product?) to who are the power users (and the power user curve for measuring, finding, and retaining them). Because at the end of the day, you don't want a leaky bucket that you're constantly trying to fill up. That doesn't work, and definitely won't scale.
-
“The rules of the game are different in tech,” argues — and has long argued, despite his views not being accepted at first — W. Brian Arthur, technologist-turned-economist who first truly described the phenomenon of “positive feedbacks” in the economy or “increasing returns” (vs. diminishing returns) in the new world of business… a.k.a. network effects. A longtime observer of Silicon Valley and the tech industry, he’s seen how a few early entrepreneurs first got it, fewer investors embrace it, entire companies be built around it, and still yet others miss it… even today. In this hour-long episode of the a16z Podcast, we (Sonal Chokshi with Marc Andreessen) explore many of these questions with Arthur. His answers take us from “the halls of production” to the “casino of technology”; from the “prehistory” to the history of tech; from the invisible underground autonomy economy to the “internet of conversations”; from externally available information to externalized intelligence; and finally, from Silicon Valley to Singapore to China to India and back to Silicon Valley again. Who’s going to win; what are the chances of winning? We don’t know, because it’s a very different game… Do you still want to play?
-
Is a network — whether a crowd or blockchain-based entity — going to replace the firm anytime soon? Not yet, argue Andrew McAfee and Erik Brynjolfsson in the new book Machine, Platform, Crowd. But that title is a bit misleading, because the real questions most companies and people wrestle with are more “machine vs. mind”, “platform vs. product”, and “crowd vs. core”. They’re really a set of dichotomies. We (Frank Chen and Sonal Chokshi) discuss all this and more with Brynjolfsson and McAfee, who also founded MIT’s Initiative on the Global Economy — and previously wrote the popular The Second Machine Age and Race Against the Machine. Maybe there’s a better way to stay ahead without having to run faster and faster just to stay in place like Alice in a tech Wonderland.