  Crowdfunding provides project founders with a convenient way to reach online
investors. However, it is challenging for founders to find the most potential
investors and successfully raise money for their projects on crowdfunding
platforms. A few machine learning based methods have been proposed to recommend
investors' interest in a specific crowdfunding project, but they fail to
provide project founders with explanations in detail for these recommendations,
thereby leading to an erosion of trust in predicted investors. To help
crowdfunding founders find truly interested investors, we conducted
semi-structured interviews with four crowdfunding experts and presents
inSearch, a visual analytic system. inSearch allows founders to search for
investors interactively on crowdfunding platforms. It supports an effective
overview of potential investors by leveraging a Graph Neural Network to model
investor preferences. Besides, it enables interactive exploration and
comparison of the temporal evolution of different investors' investment
details.
