Vincent Lindeboom

A little about me

Well, since you’re here, I might as well tell you a little about myself.

I’m Vincent. I build things for a living, and I have a habit of getting curious about things.

Sometimes because something genuinely interests me. Sometimes because something doesn’t quite add up. And sometimes because I notice myself reacting to something without really understanding why.

I tend to follow those threads. Reading, researching, questioning assumptions (including my own), and writing things down.

Usually that means a few notes. But every now and then, different lines of thought start connecting. I keep exploring, revisiting what I’ve written, finding new angles, and before I know it, there are quite a few pages.

That’s more or less how the three longer pieces you’ll find here came about. I didn’t sit down with the ambition to write books. I was trying to understand something, and the writing kept growing.

Anyway, here they are.

Writing

Raising Children Who Become Themselves

How do you help children find their own way?

Over the years, I’ve collected quite a few mental tools that have helped me make sense of things.

Mental models, first-principles thinking, ways of examining my reactions and assumptions, and understanding why I do what I do.

Quite a few of those tools would have been useful much earlier in my life.

And then I became a father.

I started wondering whether I could take what I’d learned as an adult and turn it into something useful for my children. Not to tell them what to think, but to help them learn how to think, understand themselves, and find their own way.

So I began writing a practical parenting philosophy for my partner and me. Something we could discuss, agree on, challenge, and actually use while raising our three children.

It covers critical thinking, curiosity, emotional awareness, resilience, independence, and quite a few everyday parenting situations.

I also think the timing matters. Our children are growing up in a world where AI will make it easier than ever to find answers, adopt ideas and be influenced by other people’s thinking.

I’d like them to have the tools to recognise when they’re doing that, and to make up their own minds.

Including when it comes to what we, their parents, tell them.

That’s Raising Children Who Become Themselves.

We’re still figuring out how to put all of it into practice. Which, I suppose, is part of parenting anyway.

Explore Raising Children Who Become Themselves →

Miko · iOS app · coming soon

The tools from the book also live on in Miko: an animated AI friend for children aged 5 to 8. A cosy, mischievous companion for games, stories, questions and small experiments, where the child leads and Miko makes room for their own thinking.

Meet Miko →

Living a Borrowed Life

The Unauthored Self

How much of what we believe is actually ours?

I’ve always been a little suspicious of rules and beliefs people accept simply because that’s how things are done.

But at some point, I started turning that suspicion towards myself.

How much of what I think, believe, feel and do have I actually chosen? And how much have I just picked up along the way?

We absorb an enormous amount from our upbringing, our surroundings, the people we spend time with, and the experiences we have.

Some of it becomes so familiar that we stop noticing it altogether.

Take the ways we learn to protect ourselves as children. A response to criticism, rejection or insecurity might make perfect sense at the time. But it can stick around long after the circumstances that created it have disappeared.

And there we are, decades later, still running an old piece of software.

I wanted to understand how that works. How our conditioning shapes us, why certain patterns persist, and what happens when we begin examining them rather than automatically following them.

That’s how Living a Borrowed Life came about.

It’s an exploration of the beliefs and behaviours we’ve inherited, the parts of ourselves we may never have consciously chosen, and how we might become a little more the authors of our own lives.

I suspect there’s more of that going on than most of us realise. Myself included.

Explore Living a Borrowed Life →

The Equation Method

What if we looked at the whole problem?

I find it odd how easily complicated problems turn into simple arguments.

Take almost any difficult question. There are usually dozens of things influencing the outcome, often in ways that aren’t immediately obvious. Yet we tend to focus on one or two, pick a position, and start arguing.

I’ve wondered why we don’t spend more time understanding the whole system before deciding what to do about it.

So I started putting together a method for exactly that.

Break a problem down to its fundamentals. Map the variables and how they interact. Examine assumptions, incentives, dependencies and consequences. Then look at possible solutions, including what we’d need to measure to know whether they’re actually working.

It’s an attempt to move from debating positions to understanding problems.

I call it The Equation Method.

It doesn’t promise a perfect answer. But I think there’s quite a bit to gain from asking better questions before forming one.

Explore The Equation Method →

Oh, and something about sheep.

There’s one thing about me that took 41 years to discover.

Try this.

Empty picture frame. Caption: [ a sheep ]
fig. 1 — alt="a sheep". Rendering depends on your hardware.

Think of a sheep.

Close your eyes for a moment. Picture a sheep.

What do you see?

pick one first

My answer is the first one. Nothing.

I know what a sheep looks like. I just can’t see one in my head.

No sheep. No blurry outline. Nothing.

I discovered this when I came across something written by Blake Ross, one of the people behind Firefox, about discovering that he couldn’t visualise things.

I looked up at a designer sitting opposite me and asked, “Wait, if I tell you to imagine an apple, do you actually see an apple?”

“Yes.”

I had quite a few follow-up questions.

Apparently, when people say “picture this”, some of them actually do. And counting sheep can involve seeing actual sheep.

Who knew?

It’s called aphantasia.

In hindsight, I’ve wondered whether it might explain a few things about how I’ve always approached ideas.

When I was around ten or twelve, for example, I read about determinism. Something about it clicked immediately. I liked the abstract logic of it. Following cause and consequence, reasoning through an idea without needing to picture anything.

Whether those things are connected, I don’t know.

But discovering aphantasia made me realise how easily we assume that other people’s experiences are much like our own.

And that we can go an awfully long time without questioning those assumptions.

Work

The things I spend my working days on.

I spent a large part of my professional life at NextEmpire, a creative technology studio in Amsterdam.

We made interactive experiences, digital products, and quite a few things that were difficult to explain in a single sentence. It was a good place to combine technology, creativity and people who liked making things.

One thing has changed quite a bit since then.

For years, turning an idea into something real generally required a team, a client, a budget, and someone willing to go along with it.

With AI, I can now explore a lot of ideas myself. Build something, see if it works, change it, or abandon it, often before needing to involve anyone else.

I still enjoy building things with other people. But I rather like being able to follow my curiosity without first having to convince someone.

A few things I’ve worked on, or am working on now:

  1. NextEmpire

    AI product development · now

    The studio I spent many years building with a group of talented people. Technology and creativity, usually with a healthy dose of experimentation.

    From now on, this is what NextEmpire does:

    Build freely. Prove everything.

    A method for building at hyperspeed, getting the most out of what AI can actually do.

    It starts from the idea that AI isn’t just a faster tool, but a new kind of intelligence. One that doesn’t tire, can hold near-endless context and work on many things at once, and that needs to be treated differently because of it. The method was approached and built that way, and has since been tested the hard way.

    1. 1Spec. First we work out what the product should do, what it means and what it promises.
    2. 2Build. Then AI agents build it, in parallel. They don’t get to declare themselves done: every step is checked, and the decisions that matter stay with people.

    For founders and innovation teams with something new to try: working software in days, not quarters. Let’s talk.

    nextempire.net ↗

  2. F8

    Health technology · building

    Exploring how DNA, blood tests and other personal health data can help people understand themselves better and make more informed choices about their health.

    The interesting part isn’t just what the data can tell you. It’s what you can actually do with it.

  3. Smartfaster / Huub

    Financial technology · building

    Mortgage advice sounds like a rather unlikely subject to get excited about.

    But it’s a complicated process, full of important decisions, rules, exceptions and paperwork. We’re working on making the advice easier to understand and verify, and the process around it a lot less cumbersome.

  4. SaraSuma

    Dream interpretation · building

    Tell it a dream, typed or spoken, and it offers an interpretation. Not a dictionary of symbols, but a reflection method in which everything in the dream is treated as a part of you.

    The method is as close to deterministic as I could make it: the same dream leads to almost the same outcome, nearly every time. That makes it less of an oracle and more a new tool in the backpack for self-reflection.

    You can talk a dream through further with a voice coach, and everything stays in your own archive. Deliberately small and calm: no streaks, no badges, no feed.

  5. Stories From

    Life stories · live

    Your life story, in your own voice.

    A parent or grandparent simply calls Noah, a patient AI interviewer, by phone, on a computer or in the iPhone app. Noah asks the questions and remembers earlier conversations. Each conversation becomes a chapter, kept in their own voice for the family.

    storiesfrom.ai ↗

  6. Other things

    Various stages of figuring things out.

    There are usually a few experiments running. Some turn into something worth building further.

    Others don’t. That’s useful too.

Say hi

If you’ve read something here that made you think, have an interesting idea, or think I’ve got something completely wrong, feel free to get in touch.

I enjoy a good conversation.

Send me a note →