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The Cold Start Problem: How to Start and Scale Network Effects by Andrew Chen
US $7.77
ApproximatelyS$ 9.96
Condition:
Good
A book that has been read but is in good condition. Very minimal damage to the cover including scuff marks, but no holes or tears. The dust jacket for hard covers may not be included. Binding has minimal wear. The majority of pages are undamaged with minimal creasing or tearing, minimal pencil underlining of text, no highlighting of text, no writing in margins. No missing pages.
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Located in: Sparks, Nevada, United States
Delivery:
Estimated between Sat, 27 Sep and Fri, 3 Oct to 94104
Returns:
30 days return. Buyer pays for return shipping. If you use an eBay shipping label, it will be deducted from your refund amount.
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eBay item number:403955676530
Item specifics
- Condition
- Publication Date
- 2021-12-07
- Pages
- 400
- ISBN
- 9780062969743
About this product
Product Identifiers
Publisher
HarperCollins
ISBN-10
0062969749
ISBN-13
9780062969743
eBay Product ID (ePID)
17050024615
Product Key Features
Book Title
Cold Start Problem : How to Start and Scale Network Effects
Number of Pages
400 Pages
Language
English
Topic
Industries / Computers & Information Technology, Knowledge Capital, Entrepreneurship, Product
Publication Year
2021
Illustrator
Yes
Genre
Design, Business & Economics
Format
Hardcover
Dimensions
Item Height
1.2 in
Item Weight
18.8 Oz
Item Length
9 in
Item Width
6 in
Additional Product Features
Intended Audience
Trade
LCCN
2021-045319
TitleLeading
The
Reviews
"A practical handbook for entrepreneurs struggling with how to effectively apply what can be a devilishly tricky concept." -- Business Insider, A practical handbook for entrepreneurs struggling with how to effectively apply what can be a devilishly tricky concept.
Synopsis
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.
LC Classification Number
HD62.5.C447 2021
Item description from the seller
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- eBay automated feedback- Feedback left by buyer.Past monthOrder completed successfully—tracked and on time
- g***e (41)- Feedback left by buyer.Past monthVerified purchaseQuality great, condition perfect, and the value was good. Appearance was just fine. The item came in great condition. I would order from them again. 🖤😈🖤
- eBay automated Feedback- Feedback left by buyer.Past monthOrder completed successfully – tracked and on time
- 3***c (97)- Feedback left by buyer.Past monthVerified purchaseGood seller