Source context panel

dataiku-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: 2026-08-25 / JSON twin: /data/sources/dataiku-blog.json

Activity 24h
25
aggregate signals
Activity 7d
75
aggregate signals
Activity 30d
563
aggregate signals
State
Active
quiet / active / surging
Source Channels
1
configured or observed
Streams
2
capped public panel

Top related topics and entities

Dataiku (organization) 45
AI Agents (topic) 34
Workflow Automation (topic) 23
Artificial Intelligence (topic) 21
roche (organization) 16
AI Deployment (topic) 15
Johnson & Johnson (organization) 14
novartis (organization) 13
Aviva (organization) 12
Perdue Farms (organization) 12
AI Observability (topic) 11
Industrial AI (topic) 7

Related streams

Dataiku 44
Dataiku Blog 36

Source-channel mix

organization / 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.