Recurrent Patterns

Recurrent Patterns is a venture exploring strategies and insights around leading-edge companies, technology and cultural trends. Vaclav engages with leaders, entrepreneurs, scientists, authors and others who can share their perspectives in long-form conversations.

For regular updates sign up here.

Vaclav Vincalek Vaclav Vincalek

Facebook: the new digital pimp

As Meta defends its monopoly in court, it rolls out chatbots to keep users engaged by sharing their intimate secrets. The product may change, but the strategy doesn’t. It wants to own you.

Read More
Vaclav Vincalek Vaclav Vincalek

AI vibes

The new dream: one person, one AI, and a one billion-dollar company. All you need is to send your vibes to AI and the rest is done for you.

Read More
Vaclav Vincalek Vaclav Vincalek

Goodnight, Skype

Skype brought us free long-distance calls, but after two decades, its time has come. It’s a reminder that tech evolves, and this chapter is coming to a close.

Read More
Vaclav Vincalek Vaclav Vincalek

222

This is an example of what happens when you start something and 222 weeks later, you realized what you have done.

Read More
Vaclav Vincalek Vaclav Vincalek

It always comes down to money

Everyone is telling you that you have to start using AI. But people lose sight of the most basic question when adopting new technology — how will this make me money?

Read More
Vaclav Vincalek Vaclav Vincalek

Who is a CTO?

Is a CTO only supposed to talk tech? Absolutely not. The less CTO talks tech and more talks business, the better it is for everyone.

Read More
Vaclav Vincalek Vaclav Vincalek

How do you measure AI’s real impact?

The question is not how AI works. The question is how well it works for your customers. Do they know? Do you? That's what we're discussing in the latest Recurrent Patterns.

Read More
Vaclav Vincalek Vaclav Vincalek

The bragging about foggy AI

Are we asking the right questions or tracking the most important metrics when discussing AI? Does it make sense to use non-deterministic models where accuracy is critically important?

Read More