Source context panel

nea-blog 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/nea-blog.json

Activity 24h
14
aggregate signals
Activity 7d
356
aggregate signals
Activity 30d
396
aggregate signals
State
Surging
quiet / active / surging
Source Channels
2
configured or observed
Streams
3
capped public panel

Top related topics and entities

New Enterprise Associates (organization) 42
NEA (organization) 41
Venture Capital Markets (topic) 36
Artificial Intelligence (topic) 18
Healthcare (topic) 8
AI Agents (topic) 7
Consumer Spending (topic) 7
Hilarie Koplow-McAdams (person) 7
AI Infrastructure (topic) 6
Hunter Worland (person) 6
Cloud Computing (topic) 5
Health Systems (topic) 5

Related streams

NEA 39
New Hampshire Legislature 2
Oregon Legislature 2

Source-channel mix

organization / text 2

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.