Source context panel

big-take-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: 2026-05-19 / JSON twin: /data/sources/big-take-podcast.json

Activity 24h
0
aggregate signals
Activity 7d
188
aggregate signals
Activity 30d
1,267
aggregate signals
State
Active
quiet / active / surging
Source Channels
1
configured or observed
Streams
2
capped public panel

Top related topics and entities

Bloomberg (organization) 48
Big Take Podcast (organization) 38
Donald Trump (person) 32
Economic Outlook (topic) 32
IBM (organization) 32
Geopolitics (topic) 30
Adobe (organization) 28
The Hartford (organization) 28
Chase for Business (organization) 26
Sarah Holder (person) 26
Republic National Distributing Company Rndc (organization) 24
Artificial Intelligence (topic) 22

Related streams

The Big Take 24
Bloomberg 18

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.