Attract an audience of people who make purchasing decisions, then attract sponsors who want to be put in front of those people. Quality of readers is more important than quantity.
You're saying that like it's straightforward hard work. But that strategy has been on the decline for years, with no sign of reversing. High-value technical audiences aren't Googling for educational articles, videos, and courses. They're just asking LLMs, and getting answers. Sometimes the LLMs are searching the web, but LLMs approximately never click on the ads.
I didn't say "easy" either, I said "straightforward hard work."
What you're doing is hard work, but it's way more straightforward than building out CSS Tricks.
You're a successful marathon runner. CSS Tricks will have to run a marathon with both legs tied together.
What makes your subject matter (LLMs) work is that it's a very fast moving topic, much faster moving than CSS, so people come to you for news.
Plus, it's difficult to test new models effectively, so people are looking for trusted names to do meta analysis, fast. Is the new OpenAI model better than Claude? Better how? Quality of output? Evaluated how? Even comparing prices can be difficult, as different models (at different settings) can generate different numbers of tokens (and different numbers of cached tokens) for the same tasks.
None of that applies to CSS Tricks.
CSS fundamentally can't move that fast, as long as changes in CSS require Apple, Google, and Mozilla to all agree on standards. Hardly anybody needs to know about the latest CSS news. Mostly you only need to know about Baseline Widely Available CSS features, which are at least 30 months old by definition. And when you do learn about new CSS features, it's usually pretty obvious (either to you or to an LLM) whether those new CSS features apply to something you're working on.
It's going to be very, very hard to keep CSS Tricks alive, even with a lot of hard work.
Something can be both simple to execute and extremely difficult to execute well. Simple and easy are not synonymous.
> High-value technical audiences aren't Googling for educational articles, videos, and courses. They're just asking LLMs, and getting answers.
You're right, but the high-value audiences are also looking at the sources the LLMs cite, guiding the LLMs to use specific source and exclude others (even if it's just "eschew blogspam and listicles" in the prompt). So being one of those sources is still valuable. Perhaps less so, but it's not without value.
Tech workers are a small subset of the population that have been able to live very privileged lives when compared to everyone else.
I think the average person lives a much harder life and has been doing so for a while. Should we really be surprised by the lack of empathy when folks in tech had little to show for the common man this whole time?
I find this hard to believe without seeing the data. I finished high school when the first iPhone was released. It was absolutely awful for me and many folks I grew up with.
I cannot imagine how much more difficult it would have been with social media and cameras everywhere like it is today.
> I don't buy the idea that young people specifically have some major crisis while everybody else is doing fine
You can't imagine the stress and anxiety that is fabricated by immature minds from being on the internet all of the time?
Yes, EV's solve one of the many negative impacts of cars. It's not some magic bullet.
They still depend on minerals that require destructive mining from equipment that runs on fossil fuels, still use rubber tires, still has tons of plastics that are made with petroleum, still dependent on a power grid mainly sustained by fossil fuels...
We should be thinking bigger than this, even. Walk, ride a bike, or take public transit whenever possible. If it's not possible, try to move somewhere where it is.
We must be willing to be slightly inconvenienced for the greater good instead of arguing about which type of car to drive. People don't want to have that conversation, though.
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