DECUR - A structured knowledge archive for UAP/NHI research

Hey PH - I'm the person who built this. DECUR is a structured documentation archive for UAP/NHI research. The goal was to build something that doesn't exist anywhere else: a platform where every entity — insider figure, government program, declassified document, historical case — is cross-referenced against every other entity, with an explicit evidence tier applied per entry and traceable sourcing on every claim. A few things that might be interesting to the Product Hunt audience specifically: The Explore section (decur.org/explore) has five separate data visualizations built with different stacks: - Force-directed relationship network (react-force-graph-2d) — every insider, organization, program, and technology as a node, click any node to navigate to its profile - Program lineage directed graph (xyflow/react + dagre layout engine) — left-to-right from Project Sign (1947) through AARO (2022) - Organizational oversight hierarchy (xyflow/react) — top-down authority structure from executive branch through DoD/CIA down to private contractors as contractual leaf nodes, five distinct edge types - Claims Corroboration network — cross-references which claims are backed by multiple independent sources - Geographic incident map (Leaflet.js) — 27 documented cases and 148 geocoded historical events, filterable by evidence tier The evidence tier system classifies every case: Tier 1 (official government documentation, declassified records, on-record military acknowledgment), Tier 2 (strong circumstantial, credible witnesses, partial corroboration), Tier 3 (reported, witness accounts with limited corroboration). The tier and the reasoning are shown on every entry. The static site is deployed on Vercel. The archive currently covers 78 insider profiles, 14 documented government programs, 10+ fully documented cases, 1,866 timeline events from 1561 to present, and primary source documents with provenance tracking and authenticity classifications. Happy to answer questions about the methodology, the tech stack, or the data.