
Situational Edge
Thesis Intelligence for the AGI Decade
An analytical intelligence dashboard for tech-industry professionals tracking Leopold Aschenbrenner's Situational Awareness Partners LP; a $13B AI-infrastructure hedge fund built on the thesis that the binding constraint of the AGI decade is not software, but physical bottlenecks: power, chips, cooling, and memory.
The Problem
Fragmented Intelligence: The fund's investment moves are legally public, buried across 45-day-delayed SEC 13F filings, opaque options data, and a 165-page foundational essay. No platform systematically aggregates and contextualizes these signals into a unified view.
Missing Translation Layer: Existing financial platforms surface raw data but fail to decode why the positions exist. Without mapping each trade to its underlying thesis, investors cannot distinguish a macro short from a long conviction; and risk misreading billion-dollar put books as top holdings.
Project Highlights & Creative Process
The Solution:
Situational Edge transforms fragmented regulatory data into a structured thesis intelligence layer through three analytical dimensions:
- Data Decoding: Direct SEC 13F XML parsing with full Put/Call instrument awareness; QoQ delta tracking, quarterly AUM timeline, and a hybrid Fund News Feed (SEC filings, holdings news, press).
- Thesis Mapping: Every position is mapped to one of six bottleneck layers from the SA paper (Power, Silicon, GPU Cloud, AI Infrastructure, Optical, Storage). An AI Insight engine (5-block structure, deterministic + LLM) decodes key moves, stacked conviction, and mixed expressions.
- Portfolio Intelligence: An instrument-aware chat interface lets users query the portfolio directly with deterministic fact-checks to prevent LLM misinterpretation of bearish put books as bullish holdings.
- Aesthetic & Tonality: Dark-only dashboard; monospace data display; direct, compliance-aware framing; no recommendations, no copy-trading signals.
The result is not a trading tool. It is the map sovereign investors need to form their own conviction about where AGI capex must flow next.








