Hanging Context
Source context panel

macro-voices-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: 2026-05-14 / JSON twin: /data/sources/macro-voices-podcast.json

Activity 24h
0
aggregate signals
Activity 7d
88
aggregate signals
Activity 30d
328
aggregate signals
State
Active
quiet / active / surging
Source Channels
1
configured or observed
Streams
2
capped public panel

Top related topics and entities

China (place) 8
Donald Trump (person) 8
Erik Townsend (person) 8
Geopolitics (topic) 8
Iran (place) 8
macro-voices-podcast (organization) 8
Oil Prices (topic) 8
Patrick Ceresna (person) 8
Big Picture Trading (organization) 6
Equity Markets (topic) 6
Federal Reserve (organization) 6
Inflation (topic) 6

Related streams

Fourth Turning Capital Management 4
Macro Voices 4

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.