Consumer productsFirst version in development

Miter

Real transaction-based property prices per neighborhood

Context

Real property transaction data is published as open government data, but in formats an ordinary buyer can't read — leaving the biggest financial decision of their life based on inflated listing prices.

Problem

Property buyers decide based on inflated listing prices while real transaction prices sit buried in hard-to-read open data.

Solution

A platform showing verified transaction prices for each neighborhood on an interactive map, using open government data and clear documentation that helps any developer continue the work.

Highlights

  • Real transaction data instead of listing prices
  • Nine files explaining product and development decisions
  • A first version focused on Riyadh apartments

Implementation

  1. 1

    Document the project before building

    Nine files explain the goal, design, data, roadmap, and decisions so any developer or supporting tool can continue from the same point.

  2. 2

    Collect and clean the data

    Fetching transaction data from open government sources, cleaning it, and processing it down to neighborhood level.

  3. 3

    The interactive map

    Real average prices for each neighborhood shown on a map, with a simple Arabic interface built for buyers rather than experts.

  4. 4

    A focused first version

    Start with Riyadh apartments on a 90-day plan, then measure the value before adding more cities and property types.

Stack

Next.jsSupabaseMapboxPython

Results & numbers

9
files documenting product and development decisions
90 days
a complete, documented stage-by-stage launch plan
SAR 5,000
estimated first-year budget using lightweight infrastructure