SVGs, or Scalable Vector Graphics, offer a powerful way to present data visually within a simple XML framework. They work on nearly all devices, maintain clarity regardless of resolution, and can incorporate interactive elements. The author reflects on the untapped potential of SVGs, inspired by Anil's post about enhancing scientific publishing. Ideally, each research paper would come with an interactive environment allowing readers to manipulate data and rerun experiments, which is particularly feasible for many computer science papers. The author shares a personal experience from two decades ago when they created an SVG visualization tool for a study on fungal networks. This tool, surprisingly functional in modern browsers despite its age, allows users to explore raw data from a real experiment. The key benefit of SVGs is that they can either pull data from a versioned online repository or include it directly, enabling client-side processing without the need for server support. This ease of use encourages sharing and accessibility. Linking SVGs to Anil's "Four Ps" framework, the author highlights their permanence—SVGs can receive Digital Object Identifiers (DOIs) and remain functional over time. Provenance is also strong, as SVG's text-based format integrates well with version control systems like Git. Permissioning models apply similarly, given the clear separation between data and its processing in SVGs. Finally, SVGs' spatial nature makes them ideal for creating detailed visualizations, like maps. With advances in browser computing power, the author envisions integrating full data analysis pipelines into SVGs, enhancing their utility in scientific communication and collaboration.