In large quadratic funding (QF) rounds, projects with strong marketing often outshine equally deserving initiatives, leading to uneven resource allocation. GrantsScope applies AI, machine learning, and data visualizations to empower donors to make more informed decisions through personalized recommendations. By tapping into collective intelligence from historical donor behavior and LLM-assisted recommendations, GrantsScope reduces information asymmetry and creates self-discovery tools that highlight projects aligned with donor values. This approach democratizes access to funding, ensuring that innovation in public goods is driven by merit rather than visibility.