With Data Structures & Algorithms live, the question we hear most is simple: what's next? Two subjects are in active development, each chosen because it rewards the kind of structured, dependency-aware learning LMNTS is built for.

Operating Systems

Processes, threads, scheduling, virtual memory, and the file system — concepts that only click once you can see how they lean on one another. The OS map traces that dependency chain from the first context switch to the page fault, so the abstractions stack up in the right order.

Linear Algebra

Vectors, matrices, transformations, eigenvalues — the machinery underneath modern machine learning and graphics. We're mapping it so the geometric intuition and the algebra reinforce each other instead of being taught as two disconnected languages.

Both are being built to the same standard as DSA: ordered by dependency, scored by real recall, and kept current as memory fades. We'll post here the moment each map goes live.