How much more work does an algorithm do as your data grows? Big O answers that — before you run a single line.
Big O isn't measured in seconds on a clock. It measures how the work scales as the input grows. Finding one item among ten is trivial; among a million, it depends entirely on the method. Big O tells you which methods stay fast and which collapse — at a glance.
Each glowing curve is one complexity class. Drag n and watch which ones stay flat — and which explode upward.
From the best case you can hope for to the one you design around. The operation count updates live with the slider above.
Longer bar means more work for the same n. Shorter is faster.