Source context panel

mckinsey-company-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: 2026-10-12 / JSON twin: /data/sources/mckinsey-company-blog.json

Activity 24h
3
aggregate signals
Activity 7d
144
aggregate signals
Activity 30d
417
aggregate signals
State
Active
quiet / active / surging
Source Channels
1
configured or observed
Streams
1
capped public panel

Top related topics and entities

McKinsey (organization) 80
Artificial Intelligence (topic) 27
Corporate Governance (topic) 6
Supply Chain (topic) 6
AI Agents (topic) 5
Digital Transformation (topic) 4
Europe (place) 4
Economic Outlook (topic) 3
Cybersecurity (topic) 2
Drug Discovery (topic) 2
European OEMs (organization) 2
GDP Growth (topic) 2

Related streams

McKinsey 80

Source-channel mix

firecrawl / 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.