Land Algorithmdemo
OverviewObjective BuilderDeal ExplorerPortfolio SimulatorStrategy Compare
Demo data — synthetic mock parcels. Engine: Python at /src; UI re-runs Gate 4 in TypeScript.

Score parcels against your own goals.

The Land Algorithm runs every candidate parcel through a four-gate pipeline (Filters → Enrichment → Valuation → Decision) and outputs a BUY / REVIEW / PASS recommendation. Phase 1 of the versatility expansion routes the final gate through a user-defined Objective: capital, leverage, target return, risk tolerance, geographies, deal box. Two objectives → two different decisions on the same parcel. Try it below.

Parcels seeded
405
400 with valuations
States covered
4
AZ · CO · FL · TX
Engine
v0.1
Four-gate pipeline · objective-driven Gate 4

Demo path

  1. Open Objective Builder and tune the inputs (or accept a preset).
  2. Open Deal Explorer to see the seeded parcels on a map + table — decisions recomputed live against your Objective.
  3. Open Portfolio Simulator to stress-test the BUYs against an outcome distribution.
  4. Open Strategy Compare to see how the output changes when goals change.