What failed startups don't have are enough customers.Founders and employees fail to spend time thinking about (and working on) traction in the same way they work on building a product. This shortsighted approach has startups trying random tactics - some ads, a blog post or two - in an unstructured way that's guaranteed to fail. This book changes that. Traction Book provides startup founders and employees with the framework successful companies have used to get traction. It allows you to think about which marketing channels make sense for you, given your industry and company stage. This framework has been used by founders like Jimmy Wales (Wikipedia), Alexis Ohanian (Reddit), Paul English (Kayak.com), and Alex Pachikov (Evernote) to build some of the biggest companies and organizations in the world. We interviewed each of the above founders - along with 35+ others - and pulled out the repeatable tactics and strategies they used to get traction. We then cover every possible marketing channel you can use to get traction, and show you which channels will be your key to growth. This book shows you how to grow at a time when getting traction is more important than ever. Below are the channels we cover in the book:Viral Marketing Public Relations (PR) Unconventional PR Search Engine Marketing (SEM) Social and Display Ads Offline Ads Search Engine Optimization (SEO) Content Marketing Email Marketing Engineering as Marketing Target Market Blogs Business Development (BD) Sales Affiliate Programs Existing Platforms Trade Shows Offline Events Speaking Engagements Community BuildingThis book draws on interviews with the following individuals: Jimmy Wales, Co-founder of Wikipedia Alexis Ohanian, Co-founder of reddit Eric Ries, Author of The Lean Startup Rand Fishkin, Founder of SEOmoz Noah Kagan, Founder of AppSumo Patrick McKenzie, CEO of Bingo Card Creator Sam Yagan, Co-founder of OkCupid Andrew Chen, Investor at 500 Startups Justin Kan, Founder of Justin.tv Mark Cramer, CEO of SurfCanyon Colin Nederkoorn, CEO of Customer.io Jason Cohen, Founder of WP Engine Chris Fralic, Partner at First Round Paul English, CEO of Kayak.com Rob Walling, Founder of MicroConf Brian Riley, Co-founder of SlidePad Steve Welch, Co-founder of DreamIt Jason Kincaid, Blogger at TechCrunch Nikhil Sethi, Founder of Adaptly Rick Perreault, CEO of Unbounce Alex Pachikov, Co-founder of Evernote David Skok, Partner at Matrix Ashish Kundra, CEO of myZamana David Hauser, Founder of Grasshopper Matt Monahan, CEO of Inflection Jeff Atwood, Co-founder of Discourse Dan Martell, CEO of Clarity.fm Chris McCann, Founder of StartupDigest Ryan Holiday, Exec at American Apparel Todd Vollmer, Enterprise Sales Veteran Sandi MacPherson, Founder of Quibb Andrew Warner, Founder of Mixergy Sean Murphy, Founder of SKMurphy Satish Dharmaraj, Partner at Redpoint Garry Tan, Partner at Y Combinator Steve Barsh, CEO of Packlate Michael Bodekaer, Co-founder of Smart Launch Zack Linford, Founder of Optimozo

    But it is much more than that, too. It is a public ledger to which everyone has access, but which no single person controls. It allows for companies and individuals to collaborate with an unprecedented degree of trust and transparency. It is cryptographically secure, but fundamentally open. And soon it will be everywhere.In Blockchain Revolution, Don and Alex Tapscott reveal how this game-changing technology will shape the future of the world economy, dramatically improving everything from healthcare records to online voting, and from insurance claims to artist royalty payments. Brilliantly researched and highly accessible, this is the essential text on the next major paradigm shift. Read it, or be left behind.

    Louis glassblowing artist and recovering computer scientist named Jim McKelvey lost a sale because he couldn't accept American Express cards. Frustrated by the high costs and difficulty of accepting credit card payments, McKelvey joined his friend Jack Dorsey (the cofounder of Twitter) to launch Square, a startup that would enable small merchants to accept credit card payments on their mobile phones. With no expertise or experience in the world of payments, they approached the problem of credit cards with a new perspective, questioning the industry's assumptions, experimenting and innovating their way through early challenges, and achieving widespread adoption from merchants small and large.But just as Square was taking off, Amazon launched a similar product, marketed it aggressively, and undercut Square on price. For most ordinary startups, this would have spelled the end. Instead, less than a year later, Amazon was in retreat and soon discontinued its service. How did Square beat the most dangerous company on the planet? Was it just luck? These questions motivated McKelvey to study what Square had done differently from all the other companies Amazon had killed. He eventually found the key: a strategy he calls the Innovation Stack.McKelvey's fascinating and humorous stories of Square's early days are blended with historical examples of other world-changing companies built on the Innovation Stack to reveal a pattern of ground-breaking, competition-proof entrepreneurship that is rare but repeatable.The Innovation Stack is a thrilling business narrative that's much bigger than the story of Square. It is an irreverent first-person look inside the world of entrepreneurship, and a call to action for all of us to find the entrepreneur within ourselves and identify and fix unsolved problems--one crazy idea at a time.

    But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In the face of such uncertainty, many analysts either cower in fear or predict an impossibly sunny future.But in Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this single, masterful stroke, they lift the curtain on the AI-is-magic hype and show how basic tools from economics provide clarity about the AI revolution and a basis for action by CEOs, managers, policy makers, investors, and entrepreneurs.When AI is framed as cheap prediction, its extraordinary potential becomes clear: Prediction is at the heart of making decisions under uncertainty. Our businesses and personal lives are riddled with such decisions. Prediction tools increase productivity--operating machines, handling documents, communicating with customers. Uncertainty constrains strategy. Better prediction creates opportunities for new business structures and strategies to compete. Penetrating, fun, and always insightful and practical, Prediction Machines follows its inescapable logic to explain how to navigate the changes on the horizon. The impact of AI will be profound, but the economic framework for understanding it is surprisingly simple.

    As the words "at work" suggest, Peter Seibel focuses on how his interviewees tackle the day–to–day work of programming, while revealing much more, like how they became great programmers, how they recognize programming talent in others, and what kinds of problems they find most interesting. Hundreds of people have suggested names of programmers to interview on the Coders at Work web site: http://www.codersatwork.com. The complete list was 284 names. Having digested everyone’s feedback, we selected 16 folks who’ve been kind enough to agree to be interviewed:- Frances Allen: Pioneer in optimizing compilers, first woman to win the Turing Award (2006) and first female IBM fellow- Joe Armstrong: Inventor of Erlang- Joshua Bloch: Author of the Java collections framework, now at Google- Bernie Cosell: One of the main software guys behind the original ARPANET IMPs and a master debugger- Douglas Crockford: JSON founder, JavaScript architect at Yahoo!- L. Peter Deutsch: Author of Ghostscript, implementer of Smalltalk-80 at Xerox PARC and Lisp 1.5 on PDP-1- Brendan Eich: Inventor of JavaScript, CTO of the Mozilla Corporation - Brad Fitzpatrick: Writer of LiveJournal, OpenID, memcached, and Perlbal - Dan Ingalls: Smalltalk implementor and designer- Simon Peyton Jones: Coinventor of Haskell and lead designer of Glasgow Haskell Compiler- Donald Knuth: Author of The Art of Computer Programming and creator of TeX- Peter Norvig: Director of Research at Google and author of the standard text on AI- Guy Steele: Coinventor of Scheme and part of the Common Lisp Gang of Five, currently working on Fortress- Ken Thompson: Inventor of UNIX- Jamie Zawinski: Author of XEmacs and early Netscape/Mozilla hackerWhat you’ll learn:How the best programmers in the world do their jobWho is this book for?Programmers interested in the point of view of leaders in the field. Programmers looking for approaches that work for some of these outstanding programmers.

    People don't listen to advertisements, they listen to their peers. But why do people talk about certain products and ideas more than others? Why are some stories and rumors more infectious? And what makes online content go viral? Wharton marketing professor Jonah Berger has spent the last decade answering these questions. He's studied why New York Times articles make the paper's own Most E-mailed List, why products get word of mouth, and how social influence shapes everything from the cars we buy to the clothes we wear to the names we give our children. In this book, Berger reveals the secret science behind word-of-mouth and social transmission. Discover how six basic principles drive all sorts of things to become contagious, from consumer products and policy initiatives to workplace rumors and YouTube videos.Contagious combines groundbreaking research with powerful stories. Learn how a luxury steakhouse found popularity through the lowly cheese-steak, why anti-drug commercials might have actually increased drug use, and why more than 200 million consumers shared a video about one of the seemingly most boring products there is: a blender. If you've wondered why certain stories get shared, e-mails get forwarded, or videos go viral, Contagious explains why, and shows how to leverage these concepts to craft contagious content. This book provides a set of specific, actionable techniques for helping information spread - for designing messages, advertisements, and information that people will share. Whether you're a manager at a big company, a small business owner trying to boost awareness, a politician running for office, or a health official trying to get the word out, Contagious will show you how to make your product or idea catch on.

    Bureau of Labor Statistics, one in nine Americans works in sales. Every day more than fifteen million people earn their keep by persuading someone else to make a purchase.But dig deeper and a startling truth emerges:Yes, one in nine Americans works in sales. But so do the other eight.Whether we’re employees pitching colleagues on a new idea, entrepreneurs enticing funders to invest, or parents and teachers cajoling children to study, we spend our days trying to move others. Like it or not, we’re all in sales now.To Sell Is Human offers a fresh look at the art and science of selling. As he did in Drive and A Whole New Mind, Daniel H. Pink draws on a rich trove of social science for his counterintuitive insights. He reveals the new ABCs of moving others (it's no longer "Always Be Closing"), explains why extraverts don't make the best salespeople, and shows how giving people an "off-ramp" for their actions can matter more than actually changing their minds.Along the way, Pink describes the six successors to the elevator pitch, the three rules for understanding another's perspective, the five frames that can make your message clearer and more persuasive, and much more. The result is a perceptive and practical book--one that will change how you see the world and transform what you do at work, at school, and at home.

    This guide also helps you understand the many data-mining techniques in use today.Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making.Understand how data science fits in your organization—and how you can use it for competitive advantageTreat data as a business asset that requires careful investment if you’re to gain real valueApproach business problems data-analytically, using the data-mining process to gather good data in the most appropriate wayLearn general concepts for actually extracting knowledge from dataApply data science principles when interviewing data science job candidates

    An enduring masterpiece of investigative journalism by Bryan Burrough and John Helyar, it includes a new afterword by the authors that brings this remarkable story of greed and double-dealings up to date twenty years after the famed deal. The Los Angeles Times calls Barbarians at the Gate, “Superlative.” The Chicago Tribune raves, “It’s hard to imagine a better story...and it’s hard to imagine a better account.” And in an era of spectacular business crashes and federal bailouts, it still stands as a valuable cautionary tale that must be heeded.

    C. R. Licklider, whose visionary dream of a human-computer symbiosis transformed the course of modern science and led to the development of the personal computer. Reprint.

    While other nerds were fumbling with password possibilities, this adept break-artist was penetrating the digital secrets of Sun Microsystems, Digital Equipment Corporation, Nokia, Motorola, Pacific Bell, and other mammoth enterprises. His Ghost in the Wires memoir paints an action portrait of a plucky loner motivated by a passion for trickery, not material game. (P.S. Mitnick's capers have already been the subject of two books and a movie. This first-person account is the most comprehensive to date.)

    In The Master Algorithm, Pedro Domingos lifts the veil to give us a peek inside the learning machines that power Google, Amazon, and your smartphone. He assembles a blueprint for the future universal learner--the Master Algorithm--and discusses what it will mean for business, science, and society. If data-ism is today's philosophy, this book is its bible.

    But when he took the helm in 2004, America was losing that war badly: despite vastly inferior resources and technology, Al Qaeda was outmaneuvering America’s most elite warriors. McChrystal came to realize that today’s faster, more interdependent world had overwhelmed the conventional, top-down hierarchy of the US military. Al Qaeda had seen the future: a decentralized network that could move quickly and strike ruthlessly. To defeat such an enemy, JSOC would have to discard a century of management wisdom, and pivot from a pursuit of mechanical efficiency to organic adaptability. Under McChrystal’s leadership, JSOC remade itself, in the midst of a grueling war, into something entirely new: a network that combined robust centralized communication with decentralized managerial authority. As a result, they beat back Al Qaeda. In this book, McChrystal shows not only how the military made that transition, but also how similar shifts are possible in all organizations, from large companies to startups to charities to governments. In a turbulent world, the best organizations think and act like a team of teams, embracing small groups that combine the freedom to experiment with a relentless drive to share what they’ve learned. Drawing on a wealth of evidence from his military career, the private sector, and sources as diverse as hospital emergency rooms and NASA’s space program, McChrystal frames the existential challenge facing today’s organizations, and presents a compelling, effective solution.

      Still in his early thirties, Chris is on the verge of completing a tour of every country on earth – he’s already visited more than 175 nations – and yet he’s never held a “real job” or earned a regular paycheck.  Rather, he has a special genius for turning ideas into income, and he uses what he earns both to support his life of adventure and to give back.    There are many others like Chris – those who’ve found ways to opt out of traditional employment and create the time and income to pursue what they find meaningful.  Sometimes, achieving that perfect blend of passion and income doesn’t depend on shelving what you currently do.  You can start small with your venture, committing little time or money, and wait to take the real plunge when you're sure it's successful.   In preparing to write this book, Chris identified 1,500 individuals who have built businesses earning $50,000 or more from a modest investment (in many cases, $100 or less), and from that group he’s chosen to focus on the 50 most intriguing case studies.  In nearly all cases, people with no special skills discovered aspects of their personal passions that could be monetized, and were able to restructure their lives in ways that gave them greater freedom and fulfillment.   Here, finally, distilled into one easy-to-use guide, are the most valuable lessons from those who’ve learned how to turn what they do into a gateway to self-fulfillment.  It’s all about finding the intersection between your “expertise” – even if you don’t consider it such -- and what other people will pay for.  You don’t need an MBA, a business plan or even employees.  All you need is a product or service that springs from what you love to do anyway, people willing to pay, and a way to get paid.   Not content to talk in generalities, Chris tells you exactly how many dollars his group of unexpected entrepreneurs required to get their projects up and running; what these individuals did in the first weeks and months to generate significant cash; some of the key mistakes they made along the way, and the crucial insights that made the business stick.  Among Chris’s key principles: if you’re good at one thing, you’re probably good at something else; never teach a man to fish – sell him the fish instead; and in the battle between planning and action, action wins.   In ancient times, people who were dissatisfied with their lives dreamed of finding magic lamps, buried treasure, or streets paved with gold.  Today, we know that it’s up to us to change our lives.  And the best part is, if we change our own life, we can help others change theirs.  This remarkable book will start you on your way.

    Cooper details many of these meta functions to explain his central thesis: programmers need to seriously re-evaluate the many user-hostile concepts deeply embedded within the software development process. Rather than provide users with a straightforward set of options, programmers often pile on the bells and whistles and ignore or de-prioritise lingering bugs. For the average user, increased functionality is a great burden, adding to the recurrent chorus that plays: "computers are hard, mysterious, unwieldy things." (An average user, Cooper asserts, who doesn't think that way or who has memorised all the esoteric commands and now lords it over others, has simply been desensitised by too many years of badly designed software.) Cooper's writing style is often overblown, with a pantheon of cutesy terminology (i.e. "dancing bearware") and insider back-patting. (When presenting software to Bill Gates, he reports that Gates replied: "How did you do that?" to which he writes: "I love stumping Bill!") More seriously, he is also unable to see beyond software development's importance--a sin he accuses programmers of throughout the book. Even with that in mind, the central questions Cooper asks are too important to ignore: Are we making users happier? Are we improving the process by which they get work done? Are we making their work hours more effective? Cooper looks to programmers, business managers and what he calls "interaction designers" to question current assumptions and mindsets. Plainly, he asserts that the goal of computer usage should be "not to make anyone feel stupid." Our distance from that goal reinforces the need to rethink entrenched priorities in software planning. -- Jennifer Buckendorff, Amazon.com