Complex datasets in drug discovery and chemo-informatics require new technologies. Asha, "the hope," is a web application that helps researchers design dual-inhibitors. Its descriptors analysis, distribution of physicochemical properties and ring systems, identification of shared fragments, similarity check, shape requirement analysis, PCA reduction, and Lipinski's rule of five oral bioavailability determination make it useful in drug discovery, particularly in identifying the shared chemical space by comparing two chemical spaces associated with a target. Asha can help design initial structures or novel drug-like components compatible with both targets without laborious deployment or programming.