Hanging Context
Source context panel

berkshire-annual-letters 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: 2026-09-26 / JSON twin: /data/sources/berkshire-annual-letters.json

Activity 24h
0
aggregate signals
Activity 7d
0
aggregate signals
Activity 30d
273
aggregate signals
State
Quiet
quiet / active / surging
Source Channels
1
configured or observed
Streams
1
capped public panel

Top related topics and entities

Berkshire Hathaway (organization) 23
Corporate Earnings (topic) 17
Insurance Markets (topic) 17
Warren Buffett (person) 17
Charlie Munger (person) 14
Equity Markets (topic) 13
GEICO (organization) 12
Corporate Governance (topic) 10
See's Candies (organization) 9
Capital Cities ABC (organization) 7
Mergers & Acquisitions (topic) 7
Nebraska Furniture Mart (organization) 7

Related streams

Berkshire Annual Letters 23

Source-channel mix

No aggregate signal in the current window.

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.