From sources to output, a system that keeps running
Layering means a failure in one layer does not stop the others.
Multi-perspective sources on a schedule. A single source failing does not affect the rest; every failure is logged.
Deduplicated and kept long-term. History is never rewritten by a later analysis.
Each item is tagged with domain, relevance, nature and continuity. Relevance decides whether it enters analysis at all.
Reconstructs an entity's history into a timeline, identifying turning points and cross-category spread.
Signals are selected by explicit, reproducible rules that are published on the page. Insufficient samples are marked “watching” rather than forced into a trend.
Multi-account, multi-platform output; the two voices stay independent and serve as controls for each other.
Performance data returns daily to the analysis layer, to test whether earlier judgements held.
Reading only crypto media guarantees a bubble — capital and attention move between assets.
All read from operational records.