MoatRadar

MoatRadar is an experimental platform that applies artificial intelligence to identify high‑moat investment opportunities across public equities, early‑stage startups, and speculative crypto assets. Users select a legendary investor or a set of mental models—such as Warren Buffett’s quality‑business criteria, Peter Lynch’s growth‑at‑reasonable‑price approach, or Benjamin Graham’s margin‑of‑safety framework—and the system scans data from global exchanges, crowdfunding platforms, and crypto markets to generate a short list of candidates that match the chosen criteria. Results are produced within seconds, allowing investors to explore potential holdings through the lens of more than forty established value‑ and macro‑investing philosophies. The tool is aimed at individuals who want to emulate the analytical style of renowned investors without manually applying each framework, and it distinguishes itself by offering a unified, AI‑driven interface that can evaluate stocks, startups, and crypto assets using a shared set of quantitative and qualitative filters.