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El. knyga: Cold Start Problem: How to Start and Scale Network Effects

4.19/5 (6393 ratings by Goodreads)
  • Formatas: 400 pages
  • Išleidimo metai: 07-Dec-2021
  • Leidėjas: Harper Business
  • Kalba: eng
  • ISBN-13: 9780062969750
  • Formatas: 400 pages
  • Išleidimo metai: 07-Dec-2021
  • Leidėjas: Harper Business
  • Kalba: eng
  • ISBN-13: 9780062969750

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Drawing on expertise garnered at a premier venture capital firm, as well as interviews with the CEOs and founding teams of LinkedIn, Uber, Airbnb and Pinterest, the author reveals how tech’s most successful products have solved the dreaded “cold start problem.” 75,000 first printing.

"A startup executive and investor draws on expertise developed at the premier venture capital firm, Andreessen Horowitz, and as an executive at Uber to address how tech's most successful products have solved the dreaded "cold start problem"-by leveragingnetworks effects to launch and scale towards billions of users"--

A startup executive and investor draws on expertise developed at the premier venture capital firm Andreessen Horowitz and as an executive at Uber to address how tech’s most successful products have solved the dreaded "cold start problem”—by leveraging network effects to launch and scale toward billions of users.

Although software has become easier to build, launching and scaling new products and services remains difficult. Startups face daunting challenges entering the technology ecosystem, including stiff competition, copycats, and ineffective marketing channels. Teams launching new products must consider the advantages of “the network effect,” where a product or service’s value increases as more users engage with it. Apple, Google, Microsoft, and other tech giants utilize network effects, and most tech products incorporate them, whether they’re messaging apps, workplace collaboration tools, or marketplaces. Network effects provide a path for fledgling products to break through, attracting new users through viral growth and word of mouth.

Yet most entrepreneurs lack the vocabulary and context to describe them—much less understand the fundamental principles that drive the effect. What exactly are network effects? How do teams create and build them into their products? How do products compete in a market where every player has them? Andrew Chen draws on his experience and on interviews with the CEOs and founding teams of LinkedIn, Twitch, Zoom, Dropbox, Tinder, Uber, Airbnb, and Pinterest to offer unique insights in answering these questions. Chen also provides practical frameworks and principles that can be applied across products and industries. 

The Cold Start Problem reveals what makes winning networks thrive, why some startups fail to successfully scale, and, most crucially, why products that create and compete using the network effect are vitally important today.

Introduction 1(18)
PART I Network Effects
1 What's a Network Effect, Anyway?
19(10)
2 A Brief History
29(14)
3 Cold Start Theory
43(10)
PART II The Cold Start Problem
4 Tiny Speck
53(10)
5 Anti-Network Effects
63(8)
6 The Atomic Network---Credit Cards
71(10)
7 The Hard Side---Wikipedia
81(10)
8 Solve a Hard Problem---Tinder
91(10)
9 The Killer Product---Zoom
101(10)
10 Magic Moments---Clubhouse
111(12)
PART III The Tipping Point
11 Tinder
123(8)
12 Invite-Only---Linkedin
131(10)
13 Come for the Tool, Stay for the Network--- Instagram
141(10)
14 Paying Up for Launch---Coupons
151(12)
15 Flintstoning---Reddit
163(8)
16 Always Be Hustlin'---Uber
171(12)
PART IV Escape Velocity
17 Dropbox
183(10)
18 The Trio of Forces
193(6)
19 The Engagement Effect---Scurvy
199(10)
20 The Acquisition Effect---PayPal
209(12)
21 The Economic Effect---Credit Bureaus
221(12)
PART V The Ceiling
22 Twitch
233(10)
23 Rocketship Growth---T2D3
243(10)
24 Saturation---eBay
253(12)
25 The Law of Shitty Clickthroughs---Banner Ads
265(8)
26 When the Network Revolts---Uber
273(10)
27 Eternal September---Usenet
283(14)
28 Overcrowding---YouTube
297(14)
PART VI The Moat
29 Wimdu versus Airbnb
311(10)
30 Vicious Cycle, Virtuous Cycle
321(10)
31 Cherry Picking---Craigslist
331(8)
32 Big Bang Failures---Google+
339(10)
33 Competing over the Hard Side---Uber
349(10)
34 Bundling---Microsoft
359(12)
Conclusion The Future of Network Effects 371(4)
Acknowledgments 375(4)
Notes 379