Stream context panel

Uber 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: engineering-technology / JSON twin: /data/streams/uber.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

Uber (organization) 28

Consumer Spending (topic) 12

Artificial Intelligence (topic) 8

Uber Eats (organization) 7

Cloud Computing (topic) 6

Economic Outlook (topic) 6

Estados Unidos (place) 6

Los Angeles (place) 6

Supply Chain (topic) 6

United States (place) 6

Cybersecurity (topic) 4

Labor Market (topic) 4

San Francisco (place) 4

U.S. (place) 4

Autonomous Vehicles (topic) 3

Earth 911 (organization) 3

Source coverage

uber-engineering-blog 15

uber-blog 14

Adjacent streams

ARXIV 12.6k

Amazon 157

Marathon Petroleum 114

Snowflake 102

Databricks 72

Cisco 58

Nvidia 53

ServiceNow 51

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.