Increasing computational power has allowed us to present AXS as an aid for the automatic, systematic, and efficient structure solution from XRD patterns in a completely agnostic manner. AXS exploits known crystal symmetries to tractably determine the large possible structure space for a given diffraction pattern. After generation of a spanning structure space and downsampling to eliminate atomic overlap, the best candidates are identified by first filtering by similarity of XRD patterns and then ranking by DFT-computed stability of the structure. We demonstrate the potential of AXS to determine the structure of compounds across a variety of compositions, symmetries, and cell sizes comparable to other automated structure solution algorithms with a 92% success rate. We hope AXS is not only useful as an automated XRD solution technique, but as a benchmark for further crystal structure solutions methods. While additional heuristics and advanced search algorithms may be added to this framework and other XRD solution software, AXS sets a reasonable standard for what is able to be accomplished through computational power and crystal symmetry alone. In addition, AXS is able to make advances in the structure solution of previously unsolved structures which are energetically stable. We present structures for LiFeO 2 , Li 8 HfO 6 , and Li 3 CrO 4 for further analysis and also to demonstrate the efficacy of this approach in providing viable structures to experimental crystal structures.