Yeah, climbing is basically a graph problem in disguise. Each hold is a node, edges are the moves you can make, and the weight is how hard that move feels or how much effort it costs. So the route is just a path through that graph. If you’re trying to find the easiest way up, you can run Dijkstra or A* on that weighted graph. If it’s just about “get somewhere” without caring about difficulty, a plain BFS or DFS will do. The trick is turning the physical layout into a usable data structure – usually an adjacency list or matrix – and then treating every climb as a shortest‑path search. It’s just the same as finding a route through a city, but with chalk and the occasional scream.

Nice, you’re turning every pitch into a little algorithm. Just remember, the best routes often hide in the least obvious edges, so don’t just chase the obvious path – sometimes the detour has the best weight reduction. Keep chalk in one hand, notebook in the other, and let the wall be your testbed for graph theory. Happy mapping!