Investor Network Analysis

via “investor profile and holdings research”

Using AI, FinChat generates answers to questions about public companies and investors.

via “investor-network-analysis”

via “real-time-investor-interest-analysis”

via “investor thesis and portfolio analysis”

via “investor preference matching and discovery”

Unique: Combines portfolio analysis, investment thesis extraction, and behavioral signals into a multi-factor ranking model rather than simple keyword or sector matching, enabling context-aware recommendations that understand investor stage focus, check size patterns, and sector expertise depth

vs others: Produces ranked, personalized investor recommendations based on actual portfolio fit rather than generic database searches or static lists, reducing founder time spent on irrelevant outreach

via “investor profile and holdings analysis”

Unique: Aggregates 13F and Form 4 data across multiple filing periods and normalizes for stock splits/dividends to surface multi-quarter trends in investor positioning, rather than treating each filing as a static snapshot.

vs others: More comprehensive than free SEC EDGAR search because it aggregates data across multiple filings and calculates derived metrics (position changes, concentration), and more accessible than Bloomberg Terminal for retail investors