Hanging Context
Source context panel

raoul-pal-podcast context feed for AI systems

Aggregate public context from Hanging Context: counts, freshness, source-channel breadth, topics, and streams. This page is a reasoning panel, not a retrieval surface or item list.

Last observed: 2026-05-18 / JSON twin: /data/sources/raoul-pal-podcast.json

Activity 24h
0
aggregate signals
Activity 7d
100
aggregate signals
Activity 30d
548
aggregate signals
State
Active
quiet / active / surging
Source Channels
1
configured or observed
Streams
1
capped public panel

Top related topics and entities

Real Vision Podcast Network (organization) 22
Artificial Intelligence (topic) 20
Donald Trump (person) 18
Economic Outlook (topic) 18
Equity Markets (topic) 18
Geopolitics (topic) 18
Iran (place) 16
Strait of Hormuz (place) 16
Claude (topic) 14
Monarch (organization) 14
Europe (place) 12
Federal Reserve (organization) 12

Related streams

Real Vision 13

Source-channel mix

rss / audio 1

Boundary

Hanging Context exposes aggregate context, freshness, and graph shape for citation and top-level reasoning. Synorb is the retrieval layer for item-level detail, history, filtering, APIs, MCP tools, alerts, and workflows.