Reproducible research is necessary to ensure that scientific work can be trusted. Funders and publishers are beginning to require that publications include access to the underlying data and the analysis code. The goal is to ensure that all results can be independently verified and built upon in future work. This is sometimes easier said than done! Sharing these research outputs means understanding data management, library sciences, software development, and continuous integration techniques: skills that are not widely taught or expected of academic researchers. A particularly steep barrier to working with codebases is setting up computational environments, and getting the combination of package versions just right can influence the reproducibility of code: from outright failures, to subtle changes in generated outputs. There are many tools available to manage your computational environment; but in this talk, we’ll explore Project Binder and its subproject repo2docker, which aims to automate reproducibility best practices across a number of ecosystems. Binder can build portable computational environments, when requested, with all the information encoded in a single, clickable URL, which greases the wheels of collaborative research while reducing the toil involved. We will discuss how these concepts can apply to the HPC community.