Understanding structure activity relationship (SAR) is fundamental to early stage drug discovery. With limited resources, the fate of a therapeutics campaign often rests upon the project team's ability to rationalize the SAR of a few selected chemotypes during hit-to-lead and/or lead-optimization. Here R-group tables have predominately been used as communication devices throughout the decision making process. Although very effective, R-group tables can quickly become unwieldy to manage for even a reasonable sized dataset. Recently, a number of visualization tools (e.g., Scaffold Hunter and Scaffold Explorer just to name a couple) were introduced to complement the limitations of R-group tables. These are highly interactive tools that---using advanced visualization techniques to display activity data---allow the user to quickly navigate the SAR landscape. In similar spirit, we recently put together a quick prototype for scaffold visualization. Here we use graph layout instead of the typical tree hierarchy to organize the scaffolds. The prototype is flexible in that it will initially discover all "relevant" scaffolds for a dataset. Once the scaffold graph is generated, the user can edit (hide or add) the scaffolds at will. There is no restrictions on the user-defined scaffolds; Markush scaffolds are fully supported, though it's recommended that the scaffold be properly aromatized prior to defining the query atoms. Below are a few snapshots of the tool. It comes bundled with a number of example datasets, so feel free to give it a try.