I watch a lot of YouTube.
Photography. Networking. Homelabs. Home automation. Lately, AI.
Most of it falls into one of two categories. It either entertains me or teaches me something. Both are perfectly valid — entertainment is not a crime. After a busy workday, sometimes I just want to watch someone build an absurd workshop tool or explain why a GPS time server belongs in a home rack. Not everything has to become a project.
But there is a question that sits in the back of my head after a long workday or a quiet weekend morning: will this video make me do something, or just make me feel like I know something?
Every now and then a video answers it by quietly stealing my weekend.
Not because I binge-watch another ten episodes, but because by Saturday afternoon I’m sitting in front of a terminal, rearranging network cables, or sketching out an idea that wasn’t even on my mind a few hours earlier.
I’ve been wondering why that happens.
Activation energy
In chemistry there’s a concept called activation energy.
Before a reaction can happen, you first have to overcome an initial barrier. Once you do, the reaction often continues on its own.
I think building projects works exactly the same way.
The hardest part usually isn’t configuring Docker, writing code or setting up VLANs.
The hardest part is convincing yourself to begin.
The creators I keep coming back to aren’t necessarily the smartest, the funniest or the most technically advanced.
They’re the ones who lower that activation energy.
The obvious case
Sometimes it’s simple.
I have a problem. Someone has already solved it. I watch the tutorial, follow the steps and twenty minutes later everything works again. No magic required.
The more interesting case is when I didn’t have a problem at all.
I wasn’t looking for another project. I had no itch to scratch.
Yet somehow a twenty-minute video convinces me to spend my Saturday building something I wasn’t even thinking about over breakfast.
That’s the reaction I’m trying to understand.
Three ingredients
After years of watching this kind of content, I think I’ve reverse-engineered what lowers my activation energy.
1. It has to matter
Not “that’s impressive.” Not “that’s clever.”
It has to connect with something I genuinely care about. Photography. Servers. AI.
A lot of content fails exactly here: technically impressive, personally meaningless. If the topic doesn’t resonate, the video ends when YouTube serves the next recommendation.
2. It has to feel achievable
This is where the best creators stand apart.
They explain just enough that I stop thinking “experts can do this” and start thinking “I could probably do this.”
Confidence is surprisingly fragile.
One unexplained dependency. One giant leap hidden behind the words “just configure …”. One assumption that everyone already knows the next five steps.
Reaction over. Back on the couch.
3. It has to have an ending
This one matters more than I realised.
During the week I already have enough commitments. Enough meetings. Enough backlogs. A weekend project has to feel different.
It needs a finish line. An afternoon. A Saturday. Maybe an entire weekend.
If I can already see six months of maintenance stretching into the future, I probably won’t even start. I’m not at work. I should be allowed to finish something and walk away.
Entertainment, inspiration and activation
Not every great creator has the same effect on me.
Adam Savage is one of my favourites. I rarely watch one of his videos and think “I’m going to build that.” That’s not why I’m there. I enjoy watching someone who is endlessly curious and genuinely loves making things. It’s pure entertainment, and some of the best entertainment on YouTube. The German channel Spiel und Zeug works the same way for me — entertainment executed brilliantly. No action expected, none taken.
Jeff Geerling is different again. I love seeing his latest experiments — mini racks, GPS time servers, Raspberry Pi clusters or whatever interesting rabbit hole he’s exploring this month. His videos leave me thinking “that’s a really cool idea.” They don’t usually send me into my office.
Years ago, Lawrence Systems had a quieter, deeper effect. Tom’s tutorials on pfSense, VLANs and TrueNAS made enterprise infrastructure feel approachable. They weren’t trying to impress me. They quietly removed the fear of trying it myself.
Ironically, I don’t run pfSense or TrueNAS anymore. My network is built around UniFi. My storage lives on a QNAP.
The software changed. The confidence stayed.
Those videos taught me how to think about networking, storage and self-hosting. Once you’ve learned the principles, changing products is just another migration.
More recently, I’ve noticed the same feeling while watching creators like Peter Yang. His videos rarely leave me with a new opinion about AI. They leave me with a new project. The goal isn’t to convince me that AI is revolutionary. The goal is much simpler: here’s something useful, here’s roughly how it works — now go build your own version.
That’s a completely different mindset.
The weekend that changed my websites
Eventually one of those weekends turned into something much bigger.
I decided to rebuild all of my websites with AI. Not because the old ones were broken. Because for the first time it felt achievable.
Today they’re running on Payload CMS, self-hosted in Docker, inside my own homelab.
Could I have done all of that manually? Probably. I’ve spent years running Proxmox, Docker, reverse proxies and self-hosted services. The knowledge wasn’t the missing piece.
The activation energy was.
AI didn’t remove the work. It removed the moments where I would normally stop. Every time I reached something I didn’t understand, I could ask another question. Then another. Instead of spending an evening searching through documentation, I stayed in the flow.
It also changed my attitude toward uptime: if something goes down, fine — I can configure failover in IPv64. And if I don’t? Also fine. The hook was never the technology. It was building something real, on my own infrastructure, and genuinely not caring if it breaks.
The first working version appeared much faster than I expected.
Then I improved it. Then I rebuilt parts of it. Then I added games. Then Jette. Then a knowledge graph connecting everything together.
Each finished project quietly lowered the activation energy for the next one.
The best tutorials don’t just teach
Looking back, I don’t think this article is really about YouTube.
You could replace YouTube with a blog, a conference talk, a GitHub repository or a conversation with ChatGPT. The medium doesn’t matter.
What matters is whether someone lowers the activation energy enough that you stop consuming and start creating.
The best creators don’t just leave you better informed. They leave you believing that you can do it too.
And sometimes that’s all it takes.
A twenty-minute video. A quiet Saturday morning. And suddenly an entire weekend disappears into building something you never planned to create.