6 books, summarised simply.
Competing in the Age of AI
by Marco Iansiti & Karim R. Lakhani
"Competing in the Age of AI: Strategy and Leadership When Algorithms and Networks Run the World" by Marco Iansiti and Karim R. Lakhani offers entrepreneurs insights into leveraging AI-driven processes to scale businesses. It discusses the risks and opportunities of AI, making it a valuable resource for startups in the digital age.
Lean Analytics
by Alistair Croll & Benjamin Yoskovitz
Alistair Croll and Benjamin Yoskovitz provide a data-driven approach to building startups, emphasizing the importance of analytics in decision-making.
Super Founders: What Data Reveals About Billion-Dollar Startups
by Ali Tamaseb
Super Founders is a data-driven startup book by Ali Tamaseb that analyzes hundreds of billion-dollar startups to uncover what actually differentiates unicorn founders and companies from the rest. Using quantitative research rather than anecdotes, it challenges common myths about age, background, competition, timing, and funding, and distills practical patterns that early-stage and growth-stage founders can apply to increase their odds of building a breakout company. It is widely regarded as a must-read for startup founders seeking evidence-based insights rather than purely narrative case studies.
How to Measure Anything: Finding the Value of Intangibles in Business
by Douglas W. Hubbard
Douglas Hubbard's practical guide to measuring seemingly unmeasurable things in business, from customer satisfaction to innovation ROI.
Freakonomics: A Rogue Economist Explores the Hidden Side of Everything
by economist Steven D. Levitt and journalist Stephen J. Dubner
By economist Steven D. Levitt and journalist Stephen J. Dubner (2005, HarperCollins), this book uses data and economic reasoning to explain surprising real-world incentives, from cheating teachers to drug dealers' pay. It popularized applying rigorous data analysis to everyday business and life questions.
Accelerate: The Science of Lean Software and DevOps
by Nicole Forsgren
By Nicole Forsgren, Jez Humble, and Gene Kim (2018, IT Revolution Press), this book uses years of research (the DORA metrics) to show which engineering practices actually predict faster, more reliable software delivery and better business performance.