Hanging Context
Source context panel

odd-lots-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: 2026-07-10 / JSON twin: /data/sources/odd-lots-podcast.json

Activity 24h
16
aggregate signals
Activity 7d
68
aggregate signals
Activity 30d
631
aggregate signals
State
Active
quiet / active / surging
Source Channels
1
configured or observed
Streams
1
capped public panel

Top related topics and entities

Bloomberg (organization) 18
Artificial Intelligence (topic) 15
IBM (organization) 14
Joe Weisenthal (person) 13
Odd Lots Podcast (organization) 13
Tracy Alloway (person) 13
United States (place) 10
China (place) 9
Anthropic (organization) 8
OpenAI (organization) 8
The Hartford (organization) 8
Economic Outlook (topic) 7

Related streams

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.