Finished reading: Offerdjuret by Henrik Fexeus 📚

First non-fiction book in a long time. I enjoyed the experience, even though the book is medium level.

Finished reading: The Gifts of Imperfection by Brené Brown 📚

Currently reading: I’ve Got Time by Paul Loomans 📚

Currently reading: The Gifts of Imperfection by Brené Brown 📚

Finished reading: El infinito en un junco by Irene Vallejo 📚

A fascinating trip through the history of books.

Currently reading: El infinito en un junco by Irene Vallejo 📚

Finished reading: The 3 Alarms by Eric Partaker 📚

This book should have been a micro-post…

Currently reading: Sell Like Crazy by Sabri Suby 📚

I’m not expecting much, most marketing books are pretty shallow and mostly written to sell the author’s services. But someone recommended this one to me, so I’ll at least skim through it.

Finished reading: Click by Jake Knapp 📚

How do you know if what you’re building is actually what people want? Most teams skip this question and jump straight into execution.

“Click” by Jake Knapp and John Zeratsky (the prequel to Sprint) offers a practical answer: the Foundation Sprint, a two-day process to develop your product hypothesis before you build anything. It focuses on understanding customer needs, leveraging your team’s strengths, and differentiating from competitors.

I’m planning to use some of their tools when we define our next product. Not following the method 100%, but cherry-picking what makes sense for us.

Have you read it? What’s your approach to validating ideas before building?

Finished reading: Piensa claro by Kiko Llaneras 📚

I thought interpreting data wasn’t that hard. I know the basic rule: correlation doesn’t imply causation. But Kiko Llaneras’s book has made it clear that my biases go way beyond what I thought.

The example that blew my mind: a graph showed a negative relationship between a football player’s value and their defensive actions. Until it was split by country. Suddenly, each country showed a positive relationship. The same data, two completely opposite stories depending on how you look at it. If this can happen with something as measurable as football, how many times do we misinterpret data in our daily lives without even realizing it?