network effects

also referred to as: network effect

14 statements across 8 episodes · 5 bullish · 0 bearish · 9 people on the record · first statement Jan 2, 2019 by Tren Griffin · across every show →

Everything said about network effects, oldest first

Jan 2, 2019
Insight
Griffin: Network effects scale better than other moats but are highly fragile
“Network effects are extremely powerful. And they scale better than anybody's ever been able to scale things before, but they're extremely fragile as well.”
Tren Griffin Jan 2, 2019 ▶ 21:59 a16z Podcast | The Best Way To Be Smart ... Is To Not Be Stupid
Jan 2, 2019 positive
Insight
Machine learning enables data network effects without raw data sharing
“I think with, especially with machine learning, you could learn features from data without having to share the data itself. And that's useful for IP or for HIPAA and so on. So I think there's a lot of ways that one could contribute to network effects without m…”
Vijay Pande Jan 2, 2019 ▶ 20:05 a16z Podcast | Data Network Effects
Jan 2, 2019 positive
Insight
Jeff Jordan: Network Effect Businesses Are Prone to Monopolies
“Businesses with network effects typically are very defensible and often are prone to monopoly”
Jeff Jordan Jan 2, 2019 ▶ 2:21 a16z Podcast | Getting Network Effects
Jan 2, 2019 bullish
Insight
Network Effects Are One of the Few Remaining Software Moats
“Network effects are One of the few ways we have left for software businesses to have a moat, to create a moat around their business so that competitors can't eat away at their margins.”
Sonal Chokshi Jan 2, 2019 ▶ 3:38 a16z Podcast | Not all Network Effects Are Created Equal
Jan 2, 2019 bullish
Insight
Currier: Network Effects Are the Only Software-Native Defensibility
“The way we look at it is the network effects is really the only one that's native to what we're doing, and therefore it's the most powerful.”
James Currier Jan 2, 2019 ▶ 4:47 a16z Podcast | Not all Network Effects Are Created Equal
Jan 2, 2019
Insight
Hariharan: Marketplaces Do Not Inherently Possess Network Effects
“So I don't think that all marketplaces have network effects by definition. They have the potential, but different marketplaces are different at different stages of development in their evolution.”
Anu Hariharan Jan 2, 2019 ▶ 10:16 a16z Podcast | Not all Network Effects Are Created Equal
Jan 2, 2019
Insight
Currier: Virality Drives Acquisition While Network Effects Drive Retention
“So the viral effect is about getting new users, and the network effect is about keeping those users, and they're very, very different things.”
James Currier Jan 2, 2019 ▶ 20:35 a16z Podcast | Not all Network Effects Are Created Equal
Jan 2, 2019 neutral
Assertion Partly supported
AT&T First Used the Term 'Network Effect' in 1907
“The first time it was used was in 19 oh seven in a annual report by AT&T.”
James Currier Jan 2, 2019 ▶ 0:50 a16z Podcast | Not all Network Effects Are Created Equal
Jan 2, 2019
Insight
Network Effects Originated in Hardware Before Evolving to Software
“Network effects began with hardware. It was first the telephone, then the Ethernet, and in today's world, we talk about it in the context of software companies like Facebook, right?”
Anu Hariharan Jan 2, 2019 ▶ 1:34 a16z Podcast | Not all Network Effects Are Created Equal
Jan 2, 2019 positive
Insight
Chokshi: Network effects, not patents, provide defensible moats in software
“In our business and software, obviously there is a complex matrix of patents in some cases where you really need it. But At the end of the day, a lot of the defensibility and moats, we're looking at our network effects.”
Sonal Chokshi Jan 2, 2019 ▶ 30:02 a16z Podcast | Of Presidents, Policies, and Tech
Jan 2, 2019 neutral
Assertion Not checkable as stated
Ehrsam: Tech value from 2002-2017 accrued to proprietary database networks
“If you look at all the value that's really accrued over the last 15 years, the vast majority of it has come from companies who have effectively built proprietary databases with strong network effects around them.”
Fred Ehrsam Jan 2, 2019 ▶ 6:37 a16z Podcast | Why Crypto Tokens Matter
Dec 27, 2023 neutral
Insight
Immerman: Traditional moats will drive long-term winners in consumer AI
“LLMs can be a source of differentiation. Today, they might provide a first-mover advantage, but old-fashioned modes like network effects, high switching costs, scale, and brand are still what will likely win long term.”
Alex Immerman Dec 27, 2023 ▶ 3:24 Big Ideas 2024: The Consumer AI Battleground Moves from Model to UX with Alex Immerman
Jun 28, 2024
Insight
Andreessen: Synchronous software struggles to build network effects versus asynchronous tools
“To get a real time collaborative system to work, people have to be online at the same time. Yeah. Right. And so you and I are, we're collaborating. We have to be online at the same time and we might be in totally different time zones. And you know, like it's j…”
Marc Andreessen Jun 28, 2024 ▶ 48:45 Marc Andreessen on Inventing The Internet Browser (How We all Access the Internet)
Jun 28, 2024
Insight
Andreessen: Most products with network effects fail the cold start problem
“Most things that Need to have that kind of network effect, never get past the cold start problem, right? They just, they strangle early because, you know, there's just not enough writers, which means there's not enough readers. There's not enough readers. Ther…”
Marc Andreessen Jun 28, 2024 ▶ 1:15:45 Marc Andreessen on Inventing The Internet Browser (How We all Access the Internet)
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