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: 2026-10-12 / JSON twin: /data/sources/big-take-podcast.json

Activity 24h
18
aggregate signals
Activity 7d
303
aggregate signals
Activity 30d
646
aggregate signals
State
Surging
quiet / active / surging
Source Channels
1
configured or observed
Streams
1
capped public panel

Top related topics and entities

Bloomberg (organization) 26
Donald Trump (person) 14
United States (place) 13
Sarah Holder (person) 10
China (place) 9
David Gura (person) 6
Artificial Intelligence (topic) 5
Anthropic (organization) 4
David Gurra (person) 4
Goldman Sachs (organization) 4
Inflation (topic) 4
Iran (place) 4

Related streams

Bloomberg 26

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.