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Open Property Deals

How it works

Every number shows where it came from

Four stages take you from an official record to a decision you can explain, and each stage keeps facts, estimates and assumptions apart.

  1. Stage 1

    Data pipeline

    We import official public records on a schedule and keep a record of every import.

    • Parcel characteristics and values come from the Florida Department of Revenue tax roll and county property appraiser and GIS open data for Miami-Dade, Broward and Palm Beach.
    • Rent benchmarks come from HUD Fair Market Rents by ZIP code and bedroom count.
    • Each record keeps its source, the date the data refers to and the date we retrieved it. Each import run logs how many rows were read, added, changed and rejected.
    • Fields a source does not provide are listed as missing. We do not fill them with guesses.
    Verified recordEstimateYour assumption

  2. Stage 2

    Screening score

    A 0–100 score that ranks records worth a closer look for a rental or a flip.

    • It combines factors such as an estimated gross rent yield, property type, age and size, and how complete the record is. Each factor and its weight is shown on the property page.
    • It is a first filter, not a valuation, an appraisal or a recommendation. A high score with low data completeness is flagged as such.
    • The methodology is versioned, and the version is stored with every score.

  3. Stage 3

    Your analysis

    Deterministic calculators for buy-to-rent and fix-and-flip, with every assumption in view.

    • Inputs start from sourced figures where they exist; everything else is your assumption and is labelled that way.
    • Conservative, base and optimistic cases are shown side by side, and stress tests cover rent, vacancy, interest rates, insurance, tax reassessment and renovation overruns.
    • The calculators are plain, unit-tested functions with a version number. No language model does the arithmetic.
    • The optional AI assistant explains the result in three labelled parts (verified facts, estimates and your assumptions) and runs on private infrastructure.

  4. Stage 4

    Pipeline

    Save a property as an opportunity and track it through to a decision.

    • Each opportunity keeps its analysis, notes, a due-diligence checklist and a timestamped history of every stage change.
    • Rejected is a real outcome with a reason, so you can see later why deals did not go ahead.
    1. Discovered
    2. Initial Analysis
    3. Under Review
    4. Due Diligence
    5. Offer Preparation
    6. Under Contract
    7. Acquired
    8. Renovation
    9. Rented
    10. Listed for Sale
    11. Sold
    12. Rejected

Data honesty rules

These apply across the website, the app and the AI assistant.

  • A parcel record is not a listing. Records are shown as research opportunities unless a listing has been legitimately provided to us.
  • Just value, assessed value, taxable value, last sale price and asking price are separate fields and are never substituted for one another.
  • Every figure is labelled as a verified record, an estimate or your assumption.
  • Illustrative examples are labelled “Illustrative”. We do not publish invented properties, prices, rents, testimonials or statistics.
  • No projection is presented as certain. We do not use guaranteed-return language.

Start with a real parcel.

Search official records across Miami-Dade, Broward and Palm Beach, then run your own numbers on any property.

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