AI just made your ideas cheap(er)

Win by solving better problems.

You're not imagining it. Everyone's a founder now.

When anyone can spin up a landing page, prototype an app, or generate a business plan in minutes, execution is not the bottleneck it once was.

Now, more than ever, it's about your connection to the problem you're solving.

Where it came from.

How you noticed it.

How well you understand it.

Why you care about it enough to focus on it to the exclusion of all else.

Which is why this book exists.

Fundamentally, most startups fail because they solve problems that are too big, too small, or simply don't exist.

Sure, everyone knows they need to avoid the distraction of shiny ideas that don't solve real problems.

But even when looking for valid problems to solve, your brain defaults to two biases:

1. You chase problems that sound impressive to others (see: VCs).

2. You recall problems from memory, which means you're competing with everyone else who remembers the same obvious pain points.

The Great Problems Logbook gives you a third way.

A systematic protocol for discovering high-potential, non-obvious problems hidden in your own lived experience.

Problems you understand intuitively. Problems where you have organic empathy for users. Problems other people miss because they're not paying attention the way you will.

In the front of the book, you'll find a 16-page protocol that walks you through Problem Mining: a repeatable practice for extracting and qualifying startup-worthy problems from activities you'd do anyway.

It's an 'autoethnographic' method: the careful study of your own life.

After the protocol, there are 64 pages of work paper for you to execute the method in-field, away from feeds, pings, and the siren song of half-baked ideas.

Use it as a focused tool for deciding which problem deserves your next year.

£14.99. Pocket-sized. Shipping and taxes included.