I quietly changed the weights and biases, if you will, the parameters in my content strategy over the last few weeks 🤪 The results have been remarkably satiating.
There's this part of me that's been obsessed with metabolic health for the last ten years. It started with my love for biology and chemistry, shifted into systems thinking, and became what I'd call a longitudinal side project. That's pretty much what became Sensibowl (a book that is on the way).
Recently, we finished up the sleep series on my Substack, and this time I wasn't being light or staying on the tip of the iceberg. I went really deep into the science. I was afraid that people would tune out when there's too much science to digest because it's hard on the brain (rightfully so). So I geared up courage and said, "OK, these are the things you have to know, and it's not as simple as it seems."
It's not like saying, "Oh, here's the input layer, the hidden layer, output layer of a neural net." But there's so much linear algebra and calculus and vector multiplications and matrices that happens inside. And it's important to know how complex and complicated these biological systems are. As a systems designer, I get very excited and fascinated by these complexities because only someone who understands the complexities will be able to simplify it in a very sophisticated way.
My Substack got completely dedicated to all the metabolic health related posts. LinkedIn stays focused on what's relevant for this community, this fraternity, and this audience. AI products and leadership related posts. The segregation of which post goes where has been a revelation, and I'm thoroughly enjoying this segregation.
There's no worry about "what am I posting where? Is it relevant? Is it making sense? Is it throwing people off?" It's just expressing what I think is useful to that set of audience. And beyond that, if there are churns, it's understandable. The locus of control I have is what I write and how deep I write, and that's about it.
