The Ledger

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Insight
Hariharan: Point-to-point ride sharing relies on scale economies, not network effects
“So I would say the general ride sharing, we think it's more supply side economies of scale. And what that means is the more drivers you have on the platform, you know, you can make sure that you get a good quality driver within five minutes, but that's where i…”
Anu Hariharan Jan 2, 2019 ▶ 26:25 a16z Podcast | Getting Network Effects
Insight
Hariharan: Local execution gives Indian and Chinese startups an edge
“I do think there's a lot of elements in execution that's quite different and local to those markets. That's very different from The U.S. So it's not necessary that a U.S. Player going into those markets has all the advantages. I think there are local advantage…”
Anu Hariharan Jan 2, 2019 ▶ 1:27 a16z Podcast | The Tiger and the Dragon -- On Tech and Startups in India and China
Insight
Hariharan: Building Network Effects Is Easier on Mobile Than Web
“It was easier for platforms to build a network, I would argue, on mobile more than web.”
Anu Hariharan Jan 2, 2019 ▶ 5:51 a16z Podcast | Not all Network Effects Are Created Equal
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
Insight
Hariharan: Platforms Do Not Require Viral Growth for Network Effects
“Platforms or marketplaces don't need to have network, viral growth to have network effects.”
Anu Hariharan Jan 2, 2019 ▶ 21:12 a16z Podcast | Not all Network Effects Are Created Equal
Insight
Hariharan: Lyft Line and UberPool create true network effects
“However, if you look at lift line and Uber pool, I think those could have network effects because think of this, you're a rider, you want more riders using those because then you can share a ride to San Francisco from Palo Alto and therefore have a cheaper rid…”
Anu Hariharan Jan 2, 2019 ▶ 26:52 a16z Podcast | Getting Network Effects
Insight
Hariharan: Tech startup attrition in India matches Silicon Valley levels
“In India, I actually see the attrition problems to be as significant as in Silicon Valley. You do see that a lot of engineers move across startups. They switch every two years or every three years, and there's heavy competition in terms of compensation and pay…”
Anu Hariharan Jan 2, 2019 ▶ 44:45 a16z Podcast | The Tiger and the Dragon -- On Tech and Startups in India and China
Insight
Hariharan: Overlapping supply and demand gives marketplaces a distinct advantage
“The other advantage Airbnb had, has, is the supply and the demand actually overlap, right? So, for example, I was first a customer of Airbnb, but then I was open to listing the place as well. So, only some marketplaces have that overlap effect, where you could…”
Anu Hariharan Jan 2, 2019 ▶ 12:46 a16z Podcast | The Marketplace Rules
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
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