Independent practice by Fred Hazelton
We gather public records scattered across government sites and PDFs and turn them into tools you can search.
Each project is an independent data product with its own identity, audience, and mission.
ML-powered wait time predictions for Disney, Universal, and more. The Wait Time Index distills crowd levels into one number — so you can plan smarter.
Explore TPCR →A coast-to-coast network of sovereign AI compute nodes — locally owned, federally connected, nobody's monopoly. Open-weight models on Canadian soil.
Explore CDR →US school calendar dataset gathered from district sources. Start dates, spring break, winter break, summer schedules. Structured API access.
Explore SSD →A machine-readable API that encodes Canada's federal collective agreement rules — rates of pay, leave entitlements, acting pay — into a single, auditable source of truth.
Explore ACCORD →Property tax rates by taxing body, each linked to its official source. Florida pilot.
Explore OpenMillage →A leaderboard of agent web APIs for search, scraping and browsing, built from logged benchmark runs, with cited prices.
Explore AgentWebIndex →A sourced database of superintendent contract terms and teacher salary schedules, district by district.
A sourced tracker of the building, construction and environmental permits that theme parks file with local governments.
Fred Hazelton is an independent data scientist and former statistician at TouringPlans.com — where he spent years building the crowd prediction and wait time models that millions of Disney visitors rely on.
Now he's building a portfolio of data products under the HazeyData brand — from theme park crowd forecasting to sovereign AI infrastructure to national-scale data collection. Each project applies machine learning and data engineering to solve a specific, underserved problem.
Based in Canada. Independently operated. Data-driven everything.