Source context panel

hbr-articles-rss 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: 2026-09-08 / JSON twin: /data/sources/hbr-articles-rss.json

Activity 24h
8
aggregate signals
Activity 7d
20
aggregate signals
Activity 30d
156
aggregate signals
State
Active
quiet / active / surging
Source Channels
1
configured or observed
Streams
1
capped public panel

Top related topics and entities

Harvard Business Review (organization) 31
Artificial Intelligence (topic) 12
Gretchen Gavett (person) 5
Corporate Governance (topic) 4
Adi Ignatius (person) 3
Benefits (topic) 2
Lynda Gratton (person) 2
Workforce Skills (topic) 2
Adam Peruta (person) 1
AI Agents (topic) 1
Amos Winter (person) 1
Anas Zaidani (person) 1

Related streams

Harvard Business Review 30

Source-channel mix

rss / text 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.