Justin Erickson / Founder & builder

I build theinfrastructurebehind betterdecisions.

I’m the founder of PropTechUSA.ai and the builder behind PropData, PropSports and the systems powering PropBetEdge. I turn fragmented information into data infrastructure, intelligence products and software people can actually use.

Property · Sports · Data infrastructure · AI-native products

Justin Erickson, founder of PropTechUSA.ai
Independent by design.Built from the ground up.
Based in Minnesota. Building beyond borders.Current work
400M+property & parcel records
7B+normalized property data points
7country-native PropData products
245documented sports-data routes

01 / What I’m building

The work speaks.

Two infrastructure systems, property and sports, and the products built on top of them. Same approach every time: take fragmented information, establish provenance, build the infrastructure, then make something useful with it.

Property intelligence / Flagship01

PropData.

Property is local.
The infrastructure is global.

Independent property intelligence from PropTechUSA.ai. Connecting source-native parcels, addresses, titles, transactions, and context so developers and businesses can build on a foundation they understand.

Delivered through APIs, MCP, bulk data, and custom integrations—with provenance, explicit coverage, and truthful nulls instead of guesses.

infrastructure active
07Country-native

Seven markets, one contract.

Hover, tap or use the arrow keys to inspect a country. Each product keeps its own identifiers, sources and coverage rules.

US · GB · EE · FR · ES · AU · NZ

400M+
Property & parcel records
7B+
Normalized property data points
7
Country-native products

United StatesGreat BritainEstoniaFranceSpainAustraliaNew Zealand

PropData response explorer showing the Empire State Building record: 103 official fields, 82 populated, 10 intelligence layers, with source provenance from NYC MapPLUTO
PropData · response explorerFrom production · captured September 2026
Sports infrastructure02

PropSports.

Sports data became infrastructure too.

The same discipline, pointed at sports. Not a thin wrapper around scores: live state, play-by-play, Statcast, shot and event coordinates, player and team history, markets and DNA systems, documented route by route for developers.

245
Documented routes
8
Sports

Core API206 routesMLB · NFL · NBA · WNBA · NHL · Tennis · Soccer

UFC Intelligence API39 routesUFC

  • Live game state
  • Play-by-play
  • Statcast
  • Shot & event coordinates
  • Player & team history
  • Markets
  • DNA systems
  • Model intelligence where available

Raw data and model output are kept separate. Model intelligence is labelled as model output and never blended into source data.

PropSports live network board: eight sports online, live MLB, NFL and NHL events with clocks, venues and refresh age, each linked to its live PBEcast
PropSports · live networkFrom production · captured October 2026
Intelligence products03

PropBetEdge.

What happens when the data layer becomes a product.

A sports intelligence network built on that infrastructure: broadcast-style live casts, DNA profiles, prediction and model systems with permanent track records, a sports newsroom, and Predictions for real-world event markets.

  • PBEcast live casts
  • Player, Matchup & Fight DNA
  • Prediction & model systems
  • Permanent track records
  • Sports newsroom
  • Predictions

Each sport is built natively, so depth varies by sport. Not every sport carries every feature.

PropBetEdge NHL PBEcast Live Rink: live Utah Mammoth at New York Rangers game with shot and event locations plotted on the rink and a recent-events feed
PropBetEdge NHL · PBEcast live rinkFrom production · captured October 2026

04 / The company

PropTechUSA.ai

Data infrastructure · Property + sports

PropTechUSA.ai builds proprietary data infrastructure for software and AI — led by PropData for global property intelligence and PropSports for live sports intelligence.

Visit PropTechUSA.ai ↗

02 / How I build

The same rules,
on both sides.

Property or sports, the habits don’t change. They came from building systems I had to trust myself.

  1. 01

    Source-native

    Preserve what the underlying system actually means: its identifiers, its rules, its edge cases. Don’t flatten it into something that only looks consistent.

  2. 02

    Evidence before inference

    Know where a value came from, and when, before building anything clever on top of it. Intelligence is only as honest as the layer underneath.

  3. 03

    Fail closed

    Unknown stays unknown. A truthful null beats fake precision, and a model with nothing to say should say nothing.

  4. 04

    Ship the whole loop

    Data → infrastructure → product → customer feedback → better infrastructure. I stay close to every step, because that’s where the real problems show up.

03 / Latest

Build log.

Recent milestones, in the order they shipped.

  1. PropBetEdge Predictions goes live.

    Real-world event contracts with independent model probabilities, market prices, exact resolution rules and scored history, alongside sport-native products across ten sports.

    ↗
  2. PropSports reaches 245 documented routes across eight sports.

    206 core routes across MLB, NFL, NBA, WNBA, NHL, Tennis and Soccer on one key, plus 39 dedicated UFC Intelligence routes.

    ↗
  3. PropData reaches 400M+ records and 7B+ data points.

    Seven country-native products, 400M+ property and parcel records and 7B+ normalized data points, with coverage kept explicit per country.

    ↗
  4. France and Spain join the property network.

    France entered production launch and Spain launch certification, each behind its own coverage-governed country contract.

    ↗
  5. PropData goes international.

    Great Britain and New Zealand joined the United States as the first international country-native products. Australia followed on 25 August and Estonia on the 26th.

    ↗

04 / Now

What has my
attention now.

October 2026
01

Going deeper, not just wider.

Expanding U.S. property depth county by county while continuing source-native international coverage.

02

Turning sports data into a real developer platform.

Building PropSports across live feeds, advanced analytics, historical context, DNA systems and model intelligence.

03

Building evidence-first intelligence products.

PropBetEdge, Predictions and the newsroom are increasingly built around provenance, explicit uncertainty, model states and permanent records.

05 / The person behind it

An unconventional
path. A practical
way of building.

I came to technology through business, real estate, and a need to solve the problems in front of me. I learned technology by building systems I actually needed.

01

Sales

Learned how to listen, sell, negotiate, and move toward an outcome.

02

Local Home Buyers

It started with Local Home Buyers LLC. Operating publicly as Local Home Buyers USA, I was building a real estate business and constantly running into fragmented property data, disconnected systems and tools that weren’t designed for how we actually worked.

03

AI + code

Used AI to learn software development by building things I actually needed.

04

From operator to infrastructure

I started building the software and data infrastructure we needed ourselves. Those systems eventually became bigger than the original operating problem. That evolution became PropTechUSA.ai. Today the same company operates as Local Home Buyers LLC d/b/a PropTechUSA.ai.

05

PropData

Built a source-aware property data layer designed for software, AI, and enterprise systems.

06

Global property infrastructure

Expanded country by country without flattening away local property systems.

07

PropSports

Applied the same discipline to sports: live state, history and markets as infrastructure.

08

PropBetEdge

Built intelligence products on top of it: live casts, DNA, models and permanent records.

PropTechUSA didn’t start as a data company. It started as a real estate company trying to solve its own problems.

I’m a self-taught developer with a GED and a background in sales and real estate. AI helped me learn to code. Building and operating the systems taught me what it takes to make them useful.

Today that covers property and sports, and I still stay close to the entire loop: source data, code, infrastructure, product decisions and customer conversations. That proximity is a feature.

The principle is simple: know where the information comes from, be clear about what it can do, and keep building.

More of the journey on LinkedIn ↗

Also along the way

Writing & research.

Writing is how I think through what I’m building: AI-assisted software development, entrepreneurship, property and data infrastructure, and the harder questions about AI cognition and philosophy. Some of it became books, including The AI Blueprint and Coding with Claude. They’re part of the story, not the center of what I’m building today.

Find my books on Amazon ↗

06 / Start a conversation

Building something
ambitious?

I’m interested in data infrastructure, property intelligence, sports systems, partnerships and difficult problems worth solving. If there’s a practical reason to work together, I want to hear it.

Email Justin Book a call ↗