The Startup Store

A guide to scaling quickly and strategically, with insights from companies like LinkedIn and Airbnb.

Covers a variety of "traction channels" to help founders acquire customers, including case studies from successful startups.

Focuses on marketing and selling technology products to mainstream customers, providing a blueprint for moving from early adopters to the broader market.

This book is valuable for tech startups focused on growth hacking and also includes sections on maintaining user trust and security during rapid growth.

An accessible guide to the complex world of venture capital and startup financing, with practical advice on negotiations and term sheets.

While geared toward investors, this book provides insights into what angel investors look for in startups, which can help founders understand how to position themselves.

A step-by-step guide to building a scalable business, with in-depth sections on fundraising, customer development, and more.

Written by Intel’s former CEO, this book provides practical management advice, focusing on productivity, performance, and company culture.

Introduces the OKR (Objectives and Key Results) framework, a goal-setting system used by companies like Google to drive growth and alignment.

Provides a framework for building a positive, open culture, emphasizing the importance of honest communication and feedback.

Covers the journey from developer to CTO, with insights on managing technical teams, mentorship, and leadership for scaling startups.

A must-read for engineering leaders in tech startups, covering performance metrics, continuous delivery, and engineering best practices.

Focuses on collaboration, communication, and culture within engineering teams, essential for tech startup founders.

A candid look at the challenges of running a company, covering everything from firing friends to dealing with difficult decisions under pressure.

Explores the "growth mindset," which is essential for founders who need resilience and adaptability to overcome inevitable setbacks.

While not specifically for founders, this book is invaluable for developing consistent, productive habits that contribute to personal and professional growth.

Offers a practical approach to identifying and executing good strategies, avoiding common pitfalls.

Discusses disruptive innovation and how successful companies can miss out on new waves of opportunity.

Provides a visual and strategic framework to design and rethink business models.

Teaches how to find and create new markets instead of competing in crowded ones.

Applies game theory to strategic decision-making for startups.

Offers insights on data-driven decision-making for tech startups, teaching how to track the right metrics at each stage of growth.

This is essential for founders looking to understand the tech product management side, covering everything from technical skills to product design.

A practical guide on how to talk to customers and get genuine feedback, helping validate tech products and avoid assumptions.

Provides a comprehensive guide to building reliable, scalable, and maintainable systems, essential for tech startups working with data-heavy applications.

Focuses on writing quality, maintainable code, a critical skill for tech startup founders and early engineers.

A practical guide for tech startups considering a microservices architecture, with insights on the challenges and best practices for scaling.

Authored by Google’s engineers, this book covers best practices for reliability and operational efficiency, a must-read for tech founders with scaling ambitions.

Presented as a novel, this book explains the importance of DevOps and offers insights on managing IT within a fast-paced startup.

The book focuses on building systems that perform under real-world conditions and providing stability, scalability, and deployment strategies.

Ideal for tech founders with limited security background, covering foundational concepts and risks that early-stage startups often face.

Written by Google engineers, this book offers advanced insights into securing and maintaining reliable systems, from encryption to incident response.

A practical guide for startups wanting to build machine learning capabilities, covering key algorithms, frameworks, and implementation practices.

A more technical resource, this is an in-depth look into deep learning for tech founders interested in leveraging AI and complex algorithms.

Explains data science concepts and strategies for applying machine learning and predictive models in tech startups.

A forward-looking exploration of AI's potential and risks, a fascinating read for tech founders considering AI in their products.

Provides an overview of machine learning approaches, useful for founders who want to understand the fundamentals of AI algorithms.

An accessible and thought-provoking guide to the current state of AI, ideal for tech founders looking to understand AI’s limitations and capabilities.

Practical insights on how to manage a tech-based business without being a technical expert.