Land Algorithmdemo
Start hereYour goalScored parcelsSimulate the portfolioCompare two goalsLet the system proposeGlossary
Mixed data — 250 real Maricopa AZ parcels (county ArcGIS + ATTOM) and ~405 synthetic seed parcels for FL / CO / TX coverage. Engine: Python at /src; UI re-runs the buy/look-again/skip decision in TypeScript for a parity test. Plain-language glossary at /glossary.

Same parcels, two goals — which one wins?

This page shows how the system’s recommendations shift when the goal changes. Pick a goal on the left, a goal on the right, and see how Buy / Look-again / Skip counts compare — plus the simulated profit, the chance of loss, and (when available) which goal wins under the same market dice rolls.

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