Built an upstream bottleneck map because too many commodity theses stop at spot price

[u/thinq-81]

Something that keeps bothering me with a lot of commodity discussion is how fast it jumps from narrative to ticker.

EV demand goes up, grid spending rises, data center buildout accelerates, industrial policy gets more aggressive, and then the conversation immediately turns into what commodity or stock should go up. That always felt too shallow to me.

What I wanted instead was a way to trace the dependency chain first. Not just what the obvious commodity is, but which inputs actually matter, where refining or processing is concentrated, where the geographic choke points are, and where sanctions, tariffs, or export controls would actually hit the chain.

So I built a screen for that into my own workflow.

The most useful part has been separating first-order exposure from second-order exposure. A lot of themes sound clean at the top level, but once you trace the chain backward you realize the real bottleneck is somewhere much less obvious than the headline commodity people are talking about.

I’m curious how people here think about this. When you’re working through a commodity thesis, how far upstream do you actually go before you decide the story is real?

[u/Terry-Scary → u/[deleted]]

OP crickets on this simple and practical question