BUILD / MARKET INTELLIGENCE ENGINE
What if a market could tell you
it was changing before the headline did?
We are building the data layer to find out.
01 / START SMALL
One market.
Enough depth to matter.
Sioux Falls is the first test. Not because the system ends here. Because a market intelligence engine should prove it can understand one place unusually well before pretending it understands everywhere.
02 / KEEP THE EVIDENCE
Today’s number
isn’t enough.
Sources revise data. New records arrive. Definitions change. If yesterday quietly disappears, historical analysis becomes smarter than anyone actually was at the time.
Both stay.
THAT UNLOCKS A DIFFERENT QUESTION
“What could we actually have known then?”
Then compare that signal with what happened 3, 6, 12, or 24 months later — without look-ahead bias.
03 / DATA FIRST
The intelligence comes after the evidence.
Data first. Intelligence second. Interface last.
04 / OWN THE FOUNDATION
Use the public record
before renting an answer.
Paid APIs and MLS feeds come later — only where the free public record leaves a real gap.
05 / LOOK UNDER THE HEADLINE
Price can look calm
while demand is moving.
The useful signal may be hiding in inventory, pending activity, sale velocity, mix, permits, rent, employment, or the relationship between them.
06 / THEN GIVE AI THE EVIDENCE
Don’t ask a model
to invent the market.
Code calculates the facts. Rules surface the unusual relationships. The research agent gets the job of investigating why they matter.
THE GOAL
Not another dashboard.
“Median home prices rose 4.2%.”
“Demand is strengthening here before price has responded — and these are the signals that moved first.”
Back to all builds →