I’ve been building ORBIS, an AI intelligence engine for reading the economy as a connected system instead of a pile of disconnected headlines.
The core idea is simple:
Most market tools tell you what moved.
ORBIS tries to answer:
What caused it? What does it affect next? What are the second-order consequences?
For example, if there’s an AI demand shock, ORBIS doesn’t just say “tech bullish.” It traces the dependency chain:
AI → data centers → power demand → natural gas → copper → utilities → credit markets → rates → capex
That matters because the real trade often isn’t the obvious one. Sometimes the constraint is power. Sometimes it’s credit. Sometimes it’s permitting, labour, insurance, grid interconnects, or commodity supply.
The product is still early, but the direction is clear:
a macro intelligence layer that turns public information into structured, causal briefings.
Current ORBIS lenses include:
Markets — macro shocks, sector impact, capital flow
Oil — crude, energy infrastructure, royalties, resource economics
Dwell — real estate truth reports and property intelligence
Price Truth — quote/bid/price analysis
Capitalist Daily — daily briefing format for operators and investors
This is not financial advice and it is not trying to be a magic stock picker. The goal is better situational awareness: fewer blind spots, cleaner reasoning, and a clearer map of how capital actually moves.
I’m looking for blunt feedback from people who follow markets, commodities, infrastructure, real estate, or economic systems.
What would make this useful enough that you’d actually check it every morning?
orbis.aurochthryx.com
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