video1.0<iframe src="https://www.loom.com/embed/7c75394e045c4030b2a111eff574b683" frameborder="0" width="1662" height="1246" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>12461662Loomhttps://www.loom.com12461662https://cdn.loom.com/sessions/thumbnails/7c75394e045c4030b2a111eff574b683-44f6b9f8f4abea78.gif441.947This Loom provides an overview of ForecastOS HiveMind and how it measures market narratives and portfolio exposure over time. It covers six components: trending and persistently trending narratives, company exposures and customizable pipelines, point in time context for narrative drift, and portfolio visualization based on uploaded positions. For AI and GenAI, the discussion level is about 20x higher than at ChatGPT’s public launch and shows further doubling as agentic AI picked up and impacted productivity, with narrative persistence ranked by days relevant over recent windows. It also notes that a portfolio example in the white paper leans into AI GenAI and inflation as these narratives gain and lose momentum, and the white paper reports a narrative factor backtest with an industry neutral orthogonalized factor statistic of 2.65.