Accelerators in Silicon Valley
A fast growing number of accelerators in Silicon Valley help startups by bringing their product to the market, refining their business idea, developing their product, strengthening their team, designing a marketing strategy, getting first customers and traction, raising funds, and coping with the hardships of startup life.
In Accelerators in Silicon Valley Peter Ester describes how these 'schools of startup entrepreneurship' operate and empower startups. What can we learn from how Silicon Valley accelerators help startups to become successful companies? This book gives the answer. Accelerators in Silicon Valley is a book for those who share a fascination for building the new startup economy.
Table of contents
- Silicon Valley
- Innovation and Startups in Silicon Valley
- Unique Selling Points
- Strong Teams Will Win
- Working on a Dream
- Accelerator Darlings, Challenges, and Future Plans
- What Can Europe Learn From Silicon Valley Accelerators?
| Pages : | 177 |
| Size : | 2.0 MB |
| File type : | |
| Downloads: | 43 |
| Created: | 2022-02-01 |
| License: | Open Publication License |
| Author(s): | Amsterdam University Press |
Warning: Trying to access array offset on false in /home/tutovnfz/public_html/article.php on line 233
Others Computer science Tutorials
Others related eBooks about Accelerators in Silicon Valley
How to Design Programs: An Introduction to Programming and ComputingThis second edition has been completely revised. While the book continues to teach a systematic approach to program design, the second edition introduces different design recipes for interactive programs with graphical interfaces and batch programs. It also enriches its design recipes for functions ...
Efficient Learning Machines: Theories, Concepts, and Applications for Engineers and System DesignersMachine learning techniques provide cost-effective alternatives to traditional methods for extracting underlying relationships between information and data and for predicting future events by processing existing information to train models. Efficient Learning Machines explores the major topics of ma...
Front-end Developer HandbookDownload free course Front-end Developer Handbook, pdf file on 145 pages by Cody Lindley....
Efficient Learning MachinesDownload free course Efficient Learning Machines, pdf file on 244 pages by Mariette Awad, Rahul Khanna....
Introduction to Computers and ProgrammingWelcome to the world of computer programming! In this book, you will learn the essential concepts of programming using Python language....
Blazor SuccinctlyDownload free course Blazor Succinctly, pdf file on 86 pages by by Michael Washington....
D3 Tips and Tricks v3.xDownload free course D3 Tips and Tricks v3.x, pdf file on 551 pages by Malcolm Maclean....
Learn Azure in a Month of LunchesDownload free course Learn Azure in a Month of Lunches, pdf file on 370 pages by Iain Foulds....
How to become an Ethical HackerThis is a series of lessons that's basic about the networking concepts, networking tools, security and countermeasures....
Introduction to Probability, Statistics, and Random ProcessesThis book introduces students to probability, statistics, and stochastic processes. It can be used by both students and practitioners in engineering, various sciences, finance, and other related fields. It provides a clear and intuitive approach to these topics while maintaining mathematical accur...