Given a set Z of n positive integers and a target value t, the SubsetSum problem asks whether any subset of Z sums to t. A textbook pseudopolynomial time algorithm by Bellman from 1957 solves SubsetSum in time O(nt). Here we present a simple and elegant randomized algorithm running in time soft-O(n+t). This improves upon a classic result and is likely to be near-optimal, since it matches conditional lower bounds from SetCover and k-Clique. We also present a new algorithm with pseudopolynomial time and polynomial space.