The image of a superconductor (likely a YBaCuO ceramic) immersed in liquid nitrogen and levitating over an array of magnets is undoubtedly familiar to anyone who has ever witnessed a science demonstration. These ceramics still hold the record for the highest superconducting transition temperature (Tc) at ambient pressure (at around 133？K for HgBa2Ca2Cu3O1+x), but other materials with high-Tc have been found in the past decades, e.g., MgB2 (Tc？=？39？K), fullerides such as Cs3C60 (Tc？=？38？K), thin films of FeSe (Tc？>？100？K), etc. In spite of these remarkable advances, to this day, niobium-containing materials discovered in the 1950s and 1960s are still the go-to choice for commercial applications, e.g. niobium-titanium (Nb–Ti) alloys and Nb3Sn. Notably, this happens in spite of their maximum critical temperature of 9.8？K at 24 percent by weight of Ti, which pales in comparison with the previous examples, also lower than the Tc？ (18.5K) of Nb3Sn. However, Nb–Ti has not been entirely replaced by Nb3Sn (nor by any other high-Tc superconductor) as the industry standard, since a critical aspect for superconductors from an engineering point-of-view is the ability to draw material into continuous wire or tape several kilometers long with consistent fabrication quality. Several requirements should be met in the search for new superconductors that can replace Nb–Ti alloys in commercial applications—ductility, lower density to accommodate easier transportation, higher critical field, and no Nb. In this work, Noah Hoffmann et al. from the Institut f r Physik, Martin-Luther-Universit？t Halle-Wittenberg, Germany, performed an extensive study of the superconducting and elastic properties of the cubic (full-)Heusler family using a mixture of ab initio methods, as well as interpretable and predictive machine-learning models. By analyzing the statistical distributions of these properties and comparing them to anti-perovskites, the authors recognized universal behaviors that should be common to all conventional superconductors, while others turn out to be specific to the material family. In total, the authors discovered a total of eight hypothetical materials with critical temperatures above 10？K to be compared with the current record of Tc？=？4.7？K in this family. Furthermore, the authors expected most of these materials to be highly ductile, making them potential candidates for the manufacture of wires and tapes for superconducting magnets. This work shows the potential of machine-learning models in the interpretation and exploration of the data for superconducting materials.