Products related to Startups:
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Super Founders : What Data Reveals About Billion-Dollar Startups
Every VC wants to find the next billion dollar company to invest in, and every startup wants to become one.Ali Tamaseb set out to find patterns in the backgrounds, methods, and trajectories of these companies, gathering and analyzing 40,000 data points about the 200+ billion dollar companies and the people who founded them. And you'll be surprised by what he discovered:* Half of unicorn founders are over 35;* Most founders don't have any directly relevant work experience in the industry they're disrupting;* There's no disadvantage to being a solo founder;* Sixty percent of billion dollar companies are started by repeat entrepreneurs, many of whom already have at least one $50M+ exit under their belt; and* Over half of these companies were competing with multiple incumbents at the time of their founding. Super Founders gives readers an unprecedented look at what the data tells us about the world's most successful startups and the people who create them.A blend of data, analysis, stories based on exclusive interviews, this book is a paradigm-shifting guide for entrepreneurs and the investment community.You may look more like a Super Founder than you think!
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Startups and Crisis Management
Drawing on a mixture of theory, cases, and interviews, Startups and Crisis Management provides a valuable overview of how new ventures fared in the wake of the COVID-19 pandemic.It then considers the wider lessons for startups operating in times of crisis and adjusting to the ‘new normal’.The macroeconomic shocks of rising unemployment, lockdowns, and remote working have impacted the entrepreneurial ecosystem and raised questions about how startups can survive, adjust, and thrive once more.This book analyses the reciprocal relationship between startups and their ecosystems, using theoretical lenses such as push and pull factors, necessity entrepreneurship, networking, and embeddedness.Each chapter contains case studies based on interviews with individuals from startups around the world, exploring how real-life firms reacted to the coronavirus crisis.This illuminating text will be a useful resource for modules exploring startups during times of crisis, and courses on entrepreneurship and crisis management more broadly.
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UX for Lean Startups : Faster, Smarter User Experience Research and Design
Great user experiences (UX) are essential for products today, but designing one can be a lengthy and expensive process.With this practical, hands-on book, you’ll learn how to do it faster and smarter using Lean UX techniques.UX expert Laura Klein shows you what it takes to gather valuable input from customers, build something they’ll truly love, and reduce the time it takes to get your product to market.No prior experience in UX or design is necessary to get started.If you’re an entrepreneur or an innovator, this book puts you right to work with proven tips and tools for researching, identifying, and designing an intuitive, easy-to-use product.Determine whether people will buy your product before you build it Listen to your customers throughout the product’s lifecycle Understand why you should design a test before you design a product Get nine tools that are critical to designing your product Discern the difference between necessary features and nice-to-haves Learn how a Minimum Viable Product affects your UX decisions Use A/B testing in conjunction with good UX practices Speed up your product development process without sacrificing quality
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Reignition : Transforming Stuck Startups Into Breakout Winners
Dave Hersh's new book, Reignition Transforming Stuck Startups into Breakout Winners gives readers a valuable outline on how to transform a stuck startup into a lean, disciplined, focused organization that thoughtfully experiments with growth before making investments and that has the best chance of succeeding on a large scale.Drawing on stories of successes and failures, Hersh explains how companies that recover from near-death experiences can have profoundly successful second acts.This book will appeal to new or mature businesses, but the following will have special interest:1.Startups and growth companies from $1M to $100M in revenue that have gotten stuck and must transform to survive and grow. 2. Founders and leaders of bootstrapped, healthy, or earlier-stage startups who want to avoid common mistakes around premature scaling. 3. Acquirers (and hired leaders) of stuck companies. 4. Investors and stakeholders who support these companies and leaders. Hersh is a needed voice in a startup ecosystem intent on raising too much money, growing too quickly, and failing at a high rate.Instead, Hersh advises readers on how to streamline a business down to its core, adopt an appropriate leadership style, get profitable, and patiently seek the right growth path.This is the first book in a brand that stands for depth (working to understand the human truths behind our decisions), vulnerability, and accessibility, mixed with real-world experience, practical tools, and results from an experienced entrepreneur who cares about his readers.
Price: 23.75 £ | Shipping*: 3.99 £
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From when do app startups start investing?
App startups typically start investing from the early stages of development, which can include funding for product development, marketing, and hiring key team members. This initial investment is crucial for app startups to build and launch their product, as well as to attract users and gain traction in the market. As the startup grows, they may seek additional rounds of investment to scale their operations and expand their user base. Overall, investing in app startups begins from the early stages and continues as the company grows and evolves.
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Why are there only large space startups in the USA?
There are several reasons why there are only large space startups in the USA. Firstly, the USA has a long history of space exploration and a well-established space industry, which has provided a strong foundation for the growth of space startups. Additionally, the USA has a large pool of talent, resources, and investment capital, which has helped to support the development of large space startups. Furthermore, the USA has a supportive regulatory environment and government policies that have encouraged the growth of the space industry. These factors have contributed to the dominance of large space startups in the USA.
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Which promising AI startups were founded in 2022 or this year?
Some promising AI startups founded in 2022 or this year include: 1. Sama AI: Founded in 2022, Sama AI focuses on developing AI solutions for data labeling and annotation, catering to industries such as autonomous vehicles, healthcare, and e-commerce. 2. DeepHealth: Another AI startup founded in 2022, DeepHealth specializes in using AI for medical imaging analysis, with a focus on early disease detection and personalized treatment recommendations. 3. Synthetik Minds: This AI startup, also established in 2022, is working on creating AI-powered virtual assistants for businesses, aiming to streamline customer service and administrative tasks through natural language processing and machine learning.
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What exactly does a specialist in information technology for data and process analysis do?
A specialist in information technology for data and process analysis is responsible for analyzing and interpreting data to identify trends, patterns, and insights that can be used to improve business processes and decision-making. They use various tools and techniques to collect, clean, and analyze data, and then present their findings to stakeholders in a clear and understandable manner. They also work to identify areas for process improvement and develop strategies to optimize workflows and increase efficiency. Overall, their role is to leverage technology and data to drive informed decision-making and improve business operations.
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Investment In Startups And Small Business Financing
Successful startups and small businesses can play a significant role in economic growth and job creation.They also contribute to economic dynamism by spurring innovation and injecting competition.Startups are known to introduce new products and services that can create new value in the economy.It is notable that most startups exit within their first ten years, and most surviving young businesses do not grow but remain small.Startups and small businesses face several obstacles to their development.Accessing capital is a crucial constraint on their growth.Most startups and small businesses have difficulties getting the funds they need because of their lack of a performance track record and lack of collateral, making it difficult for lenders or investors to assess their risk.Besides, they are in the early stages of development and face a very high possibility of failure, which significantly raises financing and investment risk.Investment in Startups and Small Business Financing provides 12 thematic and case studies on new methods for bringing private investment (loans or equity) to startups and easing small businesses' access to finance (debt and capital).The contributors are senior-level policy experts and researchers from governments, think tanks, academia, and international organizations.The chapters are authored in a policy-oriented way to be understandable for the readers with a different background.This book is a precious source for the governments for adopting the right policies to develop small businesses and startups and valuable for the researchers in economics, business, and finance.
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Quantitative Longitudinal Data Analysis : Research Methods
First published Open Access under a Creative Commons license as What is Quantitative Longitudinal Data Analysis?, this title is now also available as part of the Bloomsbury Research Methods series. Across the social sciences, there is widespread agreement that quantitative longitudinal research designs offer analysts powerful scientific data resources.But, to date, many texts on analysing longitudinal social analysis surveys have been written from a statistical, rather than a social science data analysis perspective and they lack adequate coverage of common practical challenges associated with social science data analyses. This book provides a practical and up-to-date introduction to influential approaches to quantitative longitudinal data analysis in the social sciences.The book introduces definitions and terms, explains the relative attractions of such a longitudinal design, and offers an introduction to the main techniques of analysis, explaining their requirements, statistical properties and their substantive contribution.
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Founders at Work : Stories of Startups' Early Days
Now available in paperback—with a new preface and interview with Jessica Livingston about Y Combinator!Founders at Work: Stories of Startups' Early Days is a collection of interviews with founders of famous technology companies about what happened in the very earliest days.These people are celebrities now. What was it like when they were just a couple friends with an idea?Founders like Steve Wozniak (Apple), Caterina Fake (Flickr), Mitch Kapor (Lotus), Max Levchin (PayPal), and Sabeer Bhatia (Hotmail) tell you in their own words about their surprising and often very funny discoveries as they learned how to build a company. Where did they get the ideas that made them rich?How did they convince investors to back them? What went wrong, and how did they recover? Nearly all technical people have thought of one day starting or working for a startup.For them, this book is the closest you can come to being a fly on the wall at a successfulstartup, to learn how it's done. But ultimately these interviews are required reading for anyone who wants to understand business, because startups are business reduced to its essence.The reason their founders become rich is that startups do what businesses do—create value—more intensively than almost any other part of the economy.How? What are the secrets that make successful startups so insanely productive?Read this book, and let the founders themselves tell you.
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Data Analysis in Qualitative Research : Theorizing with Abductive Analysis
From two experts in the field comes an accessible, how-to guide that will help researchers think more productively about the relation between theory and data at every stage of their work. In Data Analysis in Qualitative Research, Iddo Tavory and Stefan Timmermans provide a how-to guide filled with tricks of the trade for researchers who hope to take excellent qualitative data and transform it into powerful scholarship.In their previous book, Abductive Analysis: Theorizing Qualitative Research, Timmermans and Tavory offered a toolkit for innovative theorizing in the social sciences.In this companion, they go one step further to show how to uncover the surprising revelations that lie waiting in qualitative data—in sociology and beyond. In this book, they lay out a series of tools designed to help both novice and expert scholars see and understand their data in surprising ways.Timmermans and Tavory show researchers how to “stack the deck” of qualitative research in favor of locating surprising findings that may lead to theoretical breakthroughs, whether by engaging with theory, discussing research strategies, or walking the reader through the process of coding data.From beginning to end of a research project, Data Analysis in Qualitative Research helps social scientists pinpoint the most promising paths to take in their approach.
Price: 16.00 £ | Shipping*: 3.99 £
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Why is the average IQ in Vanuatu so high, even though there are hardly any startups launched there?
The average IQ in Vanuatu may be high due to factors such as access to education, cultural emphasis on learning, and genetic diversity. The presence of startups is not necessarily a direct indicator of intelligence or IQ levels in a population. Additionally, the development of startups can be influenced by various factors such as economic conditions, infrastructure, and government policies, which may not be directly related to IQ levels. Therefore, the high average IQ in Vanuatu does not necessarily depend on the number of startups launched in the country.
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What prior knowledge does a specialist in information technology for system integration need?
A specialist in information technology for system integration needs a strong foundation in computer science, including knowledge of programming languages, operating systems, and network architecture. They also need to understand database management, cybersecurity, and cloud computing. Additionally, they should have expertise in integrating different software and hardware systems, as well as experience with project management and problem-solving skills. Finally, staying updated with the latest technological advancements and industry trends is crucial for a specialist in information technology for system integration.
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What knowledge is required for the training as a specialist in information technology?
To become a specialist in information technology, one needs to have a strong foundation in computer science, including knowledge of programming languages, algorithms, and data structures. Additionally, understanding of networking, cybersecurity, and database management is crucial. Knowledge of operating systems, software development, and IT project management is also essential for this role. Continuous learning and staying updated with the latest technological advancements is also important in this field.
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What prior knowledge is required for the training as a specialist in information technology?
Prior knowledge required for training as a specialist in information technology includes a strong understanding of computer systems and networks, programming languages, and database management. Additionally, familiarity with operating systems, cybersecurity principles, and hardware components is essential. A solid foundation in mathematics and problem-solving skills is also beneficial for success in this field. Finally, staying updated with the latest technological advancements and industry trends is crucial for continuous learning and growth in the IT field.
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