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
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.
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
Author: Andrew Chen
Publisher: Century
ISBN: 9781847942784
Category :
Languages : en
Pages : 320
Book Description
Publisher: Century
ISBN: 9781847942784
Category :
Languages : en
Pages : 320
Book Description
Why Startups Fail
Author: Tom Eisenmann
Publisher: Currency
ISBN: 0593137027
Category : Business & Economics
Languages : en
Pages : 370
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.
Publisher: Currency
ISBN: 0593137027
Category : Business & Economics
Languages : en
Pages : 370
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.
Programming AWS Lambda
Author: John Chapin
Publisher: O'Reilly Media
ISBN: 1492041025
Category : Computers
Languages : en
Pages : 278
Book Description
Serverless revolutionizes the way organizations build and deploy software. With this hands-on guide, Java engineers will learn how to use their experience in the new world of serverless computing. You’ll discover how this cloud computing execution model can drastically decrease the complexity in developing and operating applications while reducing costs and time to market. Engineering leaders John Chapin and Mike Roberts guide you through the process of developing these applications using AWS Lambda, Amazon’s event-driven, serverless computing platform. You’ll learn how to prepare the development environment, program Lambda functions, and deploy and operate your serverless software. The chapters include exercises to help you through each aspect of the process. Get an introduction to serverless, functions as a service, and AWS Lambda Learn how to deploy working Lambda functions to the cloud Program Lambda functions and learn how the Lambda platform integrates with other AWS services Build and package Java-based Lambda code and dependencies Create serverless applications by building a serverless API and data pipeline Test your serverless applications using automated techniques Apply advanced techniques to build production-ready applications Understand both the gotchas and new opportunities of serverless architecture
Publisher: O'Reilly Media
ISBN: 1492041025
Category : Computers
Languages : en
Pages : 278
Book Description
Serverless revolutionizes the way organizations build and deploy software. With this hands-on guide, Java engineers will learn how to use their experience in the new world of serverless computing. You’ll discover how this cloud computing execution model can drastically decrease the complexity in developing and operating applications while reducing costs and time to market. Engineering leaders John Chapin and Mike Roberts guide you through the process of developing these applications using AWS Lambda, Amazon’s event-driven, serverless computing platform. You’ll learn how to prepare the development environment, program Lambda functions, and deploy and operate your serverless software. The chapters include exercises to help you through each aspect of the process. Get an introduction to serverless, functions as a service, and AWS Lambda Learn how to deploy working Lambda functions to the cloud Program Lambda functions and learn how the Lambda platform integrates with other AWS services Build and package Java-based Lambda code and dependencies Create serverless applications by building a serverless API and data pipeline Test your serverless applications using automated techniques Apply advanced techniques to build production-ready applications Understand both the gotchas and new opportunities of serverless architecture
Shouting Zeros and Ones
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.
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
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.
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.
Amp It Up
Author: Frank Slootman
Publisher: John Wiley & Sons
ISBN: 1119836417
Category : Business & Economics
Languages : en
Pages : 217
Book Description
Wall Street Journal, USA Today, and Publishers Weekly Bestseller The secret to leading growth is your mindset Snowflake CEO Frank Slootman is one of the tech world's most accomplished executives in enterprise growth, having led Snowflake to the largest software IPO ever after leading ServiceNow and Data Domain to exponential growth and the public market before that. In Amp It Up: Leading for Hypergrowth by Raising Expectations, Increasing Urgency, and Elevating Intensity, he shares his leadership approach for the first time. Amp It Up delivers an authoritative look at what it takes to transform an organization for maximum growth and scale. Slootman shows that most leaders have significant room to improve their organization's performance without making expensive changes to their talent, structure, or fundamental business model—and they don’t need to bring in an army of consultants to do it. What they do need is to align people around what matters and execute with urgency and intensity every day. Leading for unprecedented growth means declaring war on mediocrity, breaking the status quo, and making conflicted choices daily, all with a relentless focus on the mission. Amp It Up provides the first principles to guide that change, and the tactical advice for organizing a company around them. Perfect for executives, entrepreneurs, founders, managers, and leaders of all kinds, Amp It Up is a must-read resource for anyone who seeks to unleash the growth potential of a company and scale it to heights they never thought possible.
Publisher: John Wiley & Sons
ISBN: 1119836417
Category : Business & Economics
Languages : en
Pages : 217
Book Description
Wall Street Journal, USA Today, and Publishers Weekly Bestseller The secret to leading growth is your mindset Snowflake CEO Frank Slootman is one of the tech world's most accomplished executives in enterprise growth, having led Snowflake to the largest software IPO ever after leading ServiceNow and Data Domain to exponential growth and the public market before that. In Amp It Up: Leading for Hypergrowth by Raising Expectations, Increasing Urgency, and Elevating Intensity, he shares his leadership approach for the first time. Amp It Up delivers an authoritative look at what it takes to transform an organization for maximum growth and scale. Slootman shows that most leaders have significant room to improve their organization's performance without making expensive changes to their talent, structure, or fundamental business model—and they don’t need to bring in an army of consultants to do it. What they do need is to align people around what matters and execute with urgency and intensity every day. Leading for unprecedented growth means declaring war on mediocrity, breaking the status quo, and making conflicted choices daily, all with a relentless focus on the mission. Amp It Up provides the first principles to guide that change, and the tactical advice for organizing a company around them. Perfect for executives, entrepreneurs, founders, managers, and leaders of all kinds, Amp It Up is a must-read resource for anyone who seeks to unleash the growth potential of a company and scale it to heights they never thought possible.
Handbook of Research on Advancements of Swarm Intelligence Algorithms for Solving Real-World Problems
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.
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.
Masters of Scale
Author: Reid Hoffman
Publisher: Crown Currency
ISBN: 0593239083
Category : Business & Economics
Languages : en
Pages : 305
Book Description
What can you learn from a Silicon Valley legend and a pantheon of iconic leaders? The key to scaling a successful business isn’t talent, network, or strategy. It’s an entrepreneurial mindset—and that mindset can be cultivated. “If you’re scaling a company—or if you just love a well-told story—this is a book to savor.”—Robert Iger, #1 New York Times bestselling author of The Ride of a Lifetime Behind the scenes in Silicon Valley, Reid Hoffman (founder of LinkedIn, investor at Greylock) is a sought-after adviser to heads of companies and heads of state. On each episode of his podcast, Masters of Scale, he sits down with a guest from an all-star list of visionary founders and leaders, digging into the surprising strategies that power their company’s growth. In this book, he draws on their most riveting, revealing stories—as well as his own experience as a founder and investor—to distill the secrets behind the most extraordinary success stories of our times. Here, Hoffman teams up with Masters of Scale’s executive producers to offer a rare window into the entrepreneurial mind, sharing hard-won wisdom from leaders of iconic companies (including Apple, Nike, Netflix, Spotify, Starbucks, Google, Instagram, and Microsoft) as well as the bold, disruptive startups (such as 23andMe, TaskRabbit, Black List, and Walker & Co.) that are solving the problems of the twenty-first century. Through vivid storytelling and incisive analysis, Masters of Scale distills their collective insights into a set of counterintuitive principles that anyone can use. How do you find a winning idea and turn it into a scalable venture? What can you learn from a “squirmy no”? When should you stop listening to your customers? Which fires should you put out right away, and which should you let burn? And can you really make money while making the world a better place? (Answer: Yes. But you have to keep your profits and values aligned.) Based on more than a hundred interviews and including a wealth of new material never aired on the podcast, this unique insider’s guide will inspire you to reimagine how you do business today.
Publisher: Crown Currency
ISBN: 0593239083
Category : Business & Economics
Languages : en
Pages : 305
Book Description
What can you learn from a Silicon Valley legend and a pantheon of iconic leaders? The key to scaling a successful business isn’t talent, network, or strategy. It’s an entrepreneurial mindset—and that mindset can be cultivated. “If you’re scaling a company—or if you just love a well-told story—this is a book to savor.”—Robert Iger, #1 New York Times bestselling author of The Ride of a Lifetime Behind the scenes in Silicon Valley, Reid Hoffman (founder of LinkedIn, investor at Greylock) is a sought-after adviser to heads of companies and heads of state. On each episode of his podcast, Masters of Scale, he sits down with a guest from an all-star list of visionary founders and leaders, digging into the surprising strategies that power their company’s growth. In this book, he draws on their most riveting, revealing stories—as well as his own experience as a founder and investor—to distill the secrets behind the most extraordinary success stories of our times. Here, Hoffman teams up with Masters of Scale’s executive producers to offer a rare window into the entrepreneurial mind, sharing hard-won wisdom from leaders of iconic companies (including Apple, Nike, Netflix, Spotify, Starbucks, Google, Instagram, and Microsoft) as well as the bold, disruptive startups (such as 23andMe, TaskRabbit, Black List, and Walker & Co.) that are solving the problems of the twenty-first century. Through vivid storytelling and incisive analysis, Masters of Scale distills their collective insights into a set of counterintuitive principles that anyone can use. How do you find a winning idea and turn it into a scalable venture? What can you learn from a “squirmy no”? When should you stop listening to your customers? Which fires should you put out right away, and which should you let burn? And can you really make money while making the world a better place? (Answer: Yes. But you have to keep your profits and values aligned.) Based on more than a hundred interviews and including a wealth of new material never aired on the podcast, this unique insider’s guide will inspire you to reimagine how you do business today.
Super Founders
Author: Ali Tamaseb
Publisher: PublicAffairs
ISBN: 1541768418
Category : Business & Economics
Languages : en
Pages : 280
Book Description
Super Founders uses a data-driven approach to understand what really differentiates billion-dollar startups from the rest—revealing that nearly everything we thought was true about them is false! Ali Tamaseb has spent thousands of hours manually amassing what may be the largest dataset ever collected on startups, comparing billion-dollar startups with those that failed to become one—30,000 data points on nearly every factor: number of competitors, market size, the founder’s age, his or her university’s ranking, quality of investors, fundraising time, and many, many more. And what he found looked far different than expected. Just to mention a few: Most unicorn founders had no industry experience; There's no disadvantage to being a solo founder or to being a non-technical CEO; Less than 15% went through any kind of accelerator program; Over half had strong competitors when starting--being first to market with an idea does not actually matter. You will also hear the stories of the early days of billion-dollar startups first-hand. The book includes exclusive interviews with the founders/investors of Zoom, Instacart, PayPal, Nest, Github, Flatiron Health, Kite Pharma, Facebook, Stripe, Airbnb, YouTube, LinkedIn, Lyft, DoorDash, Coinbase, and Square, venture capital investors like Elad Gil, Peter Thiel, Alfred Lin from Sequoia Capital and Keith Rabois of Founders Fund, as well as previously untold stories about the early days of ByteDance (TikTok), WhatsApp, Dropbox, Discord, DiDi, Flipkart, Instagram, Careem, Peloton, and SpaceX. Packed with counterintuitive insights and inside stories from people who have built massively successful companies, Super Founders is a paradigm-shifting and actionable guide for entrepreneurs, investors, and anyone interested in what makes a startup successful.
Publisher: PublicAffairs
ISBN: 1541768418
Category : Business & Economics
Languages : en
Pages : 280
Book Description
Super Founders uses a data-driven approach to understand what really differentiates billion-dollar startups from the rest—revealing that nearly everything we thought was true about them is false! Ali Tamaseb has spent thousands of hours manually amassing what may be the largest dataset ever collected on startups, comparing billion-dollar startups with those that failed to become one—30,000 data points on nearly every factor: number of competitors, market size, the founder’s age, his or her university’s ranking, quality of investors, fundraising time, and many, many more. And what he found looked far different than expected. Just to mention a few: Most unicorn founders had no industry experience; There's no disadvantage to being a solo founder or to being a non-technical CEO; Less than 15% went through any kind of accelerator program; Over half had strong competitors when starting--being first to market with an idea does not actually matter. You will also hear the stories of the early days of billion-dollar startups first-hand. The book includes exclusive interviews with the founders/investors of Zoom, Instacart, PayPal, Nest, Github, Flatiron Health, Kite Pharma, Facebook, Stripe, Airbnb, YouTube, LinkedIn, Lyft, DoorDash, Coinbase, and Square, venture capital investors like Elad Gil, Peter Thiel, Alfred Lin from Sequoia Capital and Keith Rabois of Founders Fund, as well as previously untold stories about the early days of ByteDance (TikTok), WhatsApp, Dropbox, Discord, DiDi, Flipkart, Instagram, Careem, Peloton, and SpaceX. Packed with counterintuitive insights and inside stories from people who have built massively successful companies, Super Founders is a paradigm-shifting and actionable guide for entrepreneurs, investors, and anyone interested in what makes a startup successful.