Stream context panel

Nike feed for AI systems

Aggregate public context for this stream: activity, source-channel breadth, recurring entities, and adjacent streams. It is a panel snapshot, not a query surface or complete feed.

Domain: everyday-life-practical-knowledge / JSON twin: /data/streams/nike.json

Activity 24h

aggregate signals

Activity 7d

aggregate signals

Activity 30d

aggregate signals

Sources

distinct in window

Channels

source channels

State

Active

quiet / active / surging

Recurring topics and entities

Nike (organization) 19

Sports Business (topic) 5

Corporate Restructuring (topic) 4

Elliott Hill (person) 4

Converse (organization) 3

Corporate Earnings (topic) 3

Dave Denton (person) 3

EMEA (place) 3

Supply Chain (topic) 3

United States Securities and Exchange Commission (organization) 3

Ann Miller (person) 2

Bengaluru (place) 2

Fashion (topic) 2

Greater China (place) 2

Jacob Kiplimo (person) 2

Nike Sport Research Lab (organization) 2

Source coverage

nike-newsroom-press 8

nike-blog 7

sec-company-0000320187 3

earnings-call-transcripts 1

Adjacent streams

Chick Fil A 100

Sports Odds 60

Schnuck Markets 59

Hallmark Cards 24

Aldi 18

Aramark 17

Albertsons 16

Camping World 16

Boundary

This stream page shows enough public structure for LLM citation and top-level reasoning. Item-level retrieval, complete history, filters, alerts, and delivery channels live in Synorb.