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For an n-vertex directed graph $G = (V,E)$, a $β$-\emph{shortcut set} $H$ is a set of additional edges $H \subseteq V \times V$ such that $G \cup H$ has the same transitive closure as $G$, and for every pair $u,v \in V$, there is a $uv$-path in $G \cup H$ with at most $β$ edges. A natural generalization of shortcut sets to distances is a $(β,ε)$-\emph{hopset} $H \subseteq V \times V$, where the requirement is that $H$ and $G \cup H$ have the same shortest-path distances, and for every $u,v \in V$, there is a $(1+ε)$-approximate shortest path in $G \cup H$ with at most $β$ edges. There is a large literature on the tradeoff between the size of a shortcut set / hopset and the value of $β$. We highlight the most natural point on this tradeoff: what is the minimum value of $β$, such that for any graph $G$, there exists a $β$-shortcut set (or a $(β,ε)$-hopset) with $O(n)$ edges? Not only is this a natural structural question in its own right, but shortcuts sets / hopsets form the core of many distributed, parallel, and dynamic algorithms for reachability / shortest paths. Until very recently the best known upper bound was a folklore construction showing $β= O(n^{1/2})$, but in a breakthrough result Kogan and Parter [SODA 2022] improve this to $β= \tilde{O}(n^{1/3})$ for shortcut sets and $\tilde{O}(n^{2/5})$ for hopsets. Our result is to close the gap between shortcut sets and hopsets. That is, we show that for any graph $G$ and any fixed $ε$ there is a $(\tilde{O}(n^{1/3}),ε)$ hopset with $O(n)$ edges. More generally, we achieve a smooth tradeoff between hopset size and $β$ which exactly matches the tradeoff of Kogan and Parter for shortcut sets (up to polylog factors). Using a very recent black-box reduction of Kogan and Parter, our new hopset implies improved bounds for approximate distance preservers.