The Cold Start Problem

The Cold Start Problem PDF Author: Andrew Chen
Publisher: HarperCollins
ISBN: 0062969757
Category : Business & Economics
Languages : en
Pages : 368

Book Description
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.

The Cold Start Problem

The Cold Start Problem PDF Author: Andrew Chen
Publisher: Random House Business Books
ISBN: 9781847942791
Category : Business & Economics
Languages : en
Pages : 0

Book Description
'A true Silicon Valley insider' Wired Why do some products take off? And what can we learn from them? The hardest part of launching a product is getting started. When you have just an idea and a handful of customers, growth can feel impossible. This is the cold start problem. Now, one of Silicon Valley's most esteemed investors uncovers how any product can surmount the cold start problem - by harnessing the hidden power of network effects. Drawing on interviews with the founders of Uber, LinkedIn, Airbnb and Zoom, Andrew Chen reveals how any start-up can launch, scale and thrive. _ 'Chen walks readers through interviews with 30 world-class teams and founders, including from Twitch, Airbnb and Slack, to paint a picture of what it takes to turn a start-up into a massive brand' TechCrunch 'Articulates the stages that every product must go through to be successful . . . and illustrates what companies need to do to achieve them' Forbes

The Cold Start Problem

The Cold Start Problem PDF Author: Andrew Chen
Publisher: Random House
ISBN: 1473575605
Category : Computers
Languages : en
Pages : 337

Book Description
'A true Silicon Valley insider' Wired Why do some products take off? And what can we learn from them? The hardest part of launching a product is getting started. When you have just an idea and a handful of customers, growth can feel impossible. This is the cold start problem. Now, one of Silicon Valley's most esteemed investors uncovers how any product can surmount the cold start problem - by harnessing the hidden power of network effects. Drawing on interviews with the founders of Uber, LinkedIn, Airbnb and Zoom, Andrew Chen reveals how any start-up can launch, scale and thrive. _ 'Chen walks readers through interviews with 30 world-class teams and founders, including from Twitch, Airbnb and Slack, to paint a picture of what it takes to turn a start-up into a massive brand' TechCrunch 'Articulates the stages that every product must go through to be successful . . . and illustrates what companies need to do to achieve them' Forbes

Why Startups Fail

Why Startups Fail PDF Author: Tom Eisenmann
Publisher: Currency
ISBN: 0593137035
Category : Business & Economics
Languages : en
Pages : 368

Book Description
If you want your startup to succeed, you need to understand why startups fail. “Whether you’re a first-time founder or looking to bring innovation into a corporate environment, Why Startups Fail is essential reading.”—Eric Ries, founder and CEO, LTSE, and New York Times bestselling author of The Lean Startup and The Startup Way Why do startups fail? That question caught Harvard Business School professor Tom Eisenmann by surprise when he realized he couldn’t answer it. So he launched a multiyear research project to find out. In Why Startups Fail, Eisenmann reveals his findings: six distinct patterns that account for the vast majority of startup failures. • Bad Bedfellows. Startup success is thought to rest largely on the founder’s talents and instincts. But the wrong team, investors, or partners can sink a venture just as quickly. • False Starts. In following the oft-cited advice to “fail fast” and to “launch before you’re ready,” founders risk wasting time and capital on the wrong solutions. • False Promises. Success with early adopters can be misleading and give founders unwarranted confidence to expand. • Speed Traps. Despite the pressure to “get big fast,” hypergrowth can spell disaster for even the most promising ventures. • Help Wanted. Rapidly scaling startups need lots of capital and talent, but they can make mistakes that leave them suddenly in short supply of both. • Cascading Miracles. Silicon Valley exhorts entrepreneurs to dream big. But the bigger the vision, the more things that can go wrong. Drawing on fascinating stories of ventures that failed to fulfill their early promise—from a home-furnishings retailer to a concierge dog-walking service, from a dating app to the inventor of a sophisticated social robot, from a fashion brand to a startup deploying a vast network of charging stations for electric vehicles—Eisenmann offers frameworks for detecting when a venture is vulnerable to these patterns, along with a wealth of strategies and tactics for avoiding them. A must-read for founders at any stage of their entrepreneurial journey, Why Startups Fail is not merely a guide to preventing failure but also a roadmap charting the path to startup success.

Shouting Zeros and Ones

Shouting Zeros and Ones PDF Author: Kathy Errington
Publisher: Bridget Williams Books
ISBN: 1988587352
Category : Technology & Engineering
Languages : en
Pages : 127

Book Description
This vital book is a call to action: to reduce online harm, to protect the integrity of our digital lives and to uphold democratic participation and inclusion. A diverse group of contributors reveal the hidden impacts of technology on society and on individuals, exploring policy change and personal action to keep the internet a force for good. These voices arrive at a crucial juncture in our relationship to fast-evolving technologies.

Fashion Recommender Systems

Fashion Recommender Systems PDF Author: Nima Dokoohaki
Publisher: Springer Nature
ISBN: 3030552187
Category : Science
Languages : en
Pages : 144

Book Description
This book includes the proceedings of the first workshop on Recommender Systems in Fashion 2019. It presents a state of the art view of the advancements within the field of recommendation systems with focused application to e-commerce, retail and fashion. The volume covers contributions from academic as well as industrial researchers active within this emerging new field. Recommender Systems are often used to solve different complex problems in this scenario, such as social fashion-based recommendations (outfits inspired by influencers), product recommendations, or size and fit recommendations. The impact of social networks and the influence that fashion influencers have on the choices people make for shopping is undeniable. For instance, many people use Instagram to learn about fashion trends from top influencers, which helps them to buy similar or even exact outfits from the tagged brands in the post. When traced, customers’ social behavior can be a very useful guide for online shopping websites, providing insights on the styles the customers are really interested in, and hence aiding the online shops in offering better recommendations and facilitating customers quest for outfits. Another well known difficulty with recommendation of similar items is the large quantities of clothing items which can be considered similar, but belong to different brands. Relying only on implicit customer behavioral data will not be sufficient in the coming future to distinguish between for recommendation that will lead to an item being purchased and kept, vs. a recommendation that might result in either the customer not following it, or eventually return the item. Finding the right size and fit for clothes is one of the major factors not only impacting customers purchase decision, but also their satisfaction from e-commerce fashion platforms. Moreover, fashion articles have important sizing variations. Finally, customer preferences towards perceived article size and fit for their body remain highly personal and subjective which influences the definition of the right size for each customer. The combination of the above factors leaves the customers alone to face a highly challenging problem of determining the right size and fit during their purchase journey, which in turn has resulted in having more than one third of apparel returns to be caused by not ordering the right article size. This challenge presents a huge opportunity for research in intelligent size and fit recommendation systems and machine learning solutions with direct impact on both customer satisfaction and business profitability.

Handbook of Research on Advancements of Swarm Intelligence Algorithms for Solving Real-World Problems

Handbook of Research on Advancements of Swarm Intelligence Algorithms for Solving Real-World Problems PDF Author: Cheng, Shi
Publisher: IGI Global
ISBN: 1799832244
Category : Computers
Languages : en
Pages : 482

Book Description
The use of optimization algorithms has seen an emergence in various professional fields due to its ability to process data and information in an efficient and productive manner. Combining computational intelligence with these algorithms has created a trending subject of research on how much more beneficial intelligent-inspired algorithms can be within companies and organizations. As modern theories and applications are continually being developed in this area, professionals are in need of current research on how intelligent algorithms are advancing in the real world. TheHandbook of Research on Advancements of Swarm Intelligence Algorithms for Solving Real-World Problems is a pivotal reference source that provides vital research on the development of swarm intelligence algorithms and their implementation into current issues. While highlighting topics such as multi-agent systems, bio-inspired computing, and evolutionary programming, this publication explores various concepts and theories of swarm intelligence and outlines future directions of development. This book is ideally designed for IT specialists, researchers, academicians, engineers, developers, practitioners, and students seeking current research on the real-world applications of intelligent algorithms.

Research Anthology on Multi-Industry Uses of Genetic Programming and Algorithms

Research Anthology on Multi-Industry Uses of Genetic Programming and Algorithms PDF Author: Management Association, Information Resources
Publisher: IGI Global
ISBN: 1799880990
Category : Computers
Languages : en
Pages : 1534

Book Description
Genetic programming is a new and evolutionary method that has become a novel area of research within artificial intelligence known for automatically generating high-quality solutions to optimization and search problems. This automatic aspect of the algorithms and the mimicking of natural selection and genetics makes genetic programming an intelligent component of problem solving that is highly regarded for its efficiency and vast capabilities. With the ability to be modified and adapted, easily distributed, and effective in large-scale/wide variety of problems, genetic algorithms and programming can be utilized in many diverse industries. This multi-industry uses vary from finance and economics to business and management all the way to healthcare and the sciences. The use of genetic programming and algorithms goes beyond human capabilities, enhancing the business and processes of various essential industries and improving functionality along the way. The Research Anthology on Multi-Industry Uses of Genetic Programming and Algorithms covers the implementation, tools and technologies, and impact on society that genetic programming and algorithms have had throughout multiple industries. By taking a multi-industry approach, this book covers the fundamentals of genetic programming through its technological benefits and challenges along with the latest advancements and future outlooks for computer science. This book is ideal for academicians, biological engineers, computer programmers, scientists, researchers, and upper-level students seeking the latest research on genetic programming.

Hello, Startup

Hello, Startup PDF Author: Yevgeniy Brikman
Publisher: "O'Reilly Media, Inc."
ISBN: 1491910046
Category : Computers
Languages : en
Pages : 465

Book Description
This book is the "Hello, World" tutorial for building products, technologies, and teams in a startup environment. It's based on the experiences of the author, Yevgeniy (Jim) Brikman, as well as interviews with programmers from some of the most successful startups of the last decade, including Google, Facebook, LinkedIn, Twitter, GitHub, Stripe, Instagram, AdMob, Pinterest, and many others. Hello, Startup is a practical, how-to guide that consists of three parts: Products, Technologies, and Teams. Although at its core, this is a book for programmers, by programmers, only Part II (Technologies) is significantly technical, while the rest should be accessible to technical and non-technical audiences alike. If you’re at all interested in startups—whether you’re a programmer at the beginning of your career, a seasoned developer bored with large company politics, or a manager looking to motivate your engineers—this book is for you.
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