Source context panel

nasa-houston-we-have-a-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: 2026-05-15 / JSON twin: /data/sources/nasa-houston-we-have-a-podcast.json

Activity 24h
0
aggregate signals
Activity 7d
52
aggregate signals
Activity 30d
199
aggregate signals
State
Active
quiet / active / surging
Source Channels
1
configured or observed
Streams
1
capped public panel

Top related topics and entities

Dan Turner (person) 24
Gary Jordan (person) 24
NASA Johnson Space Center (organization) 24
Kelsey Howron (person) 22
Will Flato (person) 22
ATI (organization) 20
Daniel Tohill (person) 20
NASA (organization) 20
Mars (place) 16
Earth (place) 14
International Space Station (organization) 14
Leah Cheshire (person) 14

Related streams

NASA 4

Source-channel mix

organization / 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.