I build automation and public-data intelligence tools that turn fragmented online sources into clean, structured, decision-ready datasets.

My Actors focus on practical business use cases such as public records, construction activity, local market signals, lead research, and operational intelligence. The goal is not just to extract raw data, but to normalize messy sources, add useful context, expose clear limitations, and make outputs easy to use in workflows, spreadsheets, CRMs, research pipelines, and AI agent systems.

• Public-data extraction tools
• Business and market signal monitors
• Structured research datasets
• Normalized records from fragmented sources
• Source-health and run-summary reporting
• Automation tools designed for repeatable workflows

• Clear input and output schemas
• Honest documentation and limitations
• Public/permissioned data sources only
• No misleading “verified lead” claims
• No hidden outreach, email finding, or contact enrichment unless explicitly stated
• Maintainable tools with practical error reporting

Permit Signal Scout turns selected official public building permit datasets into normalized, ranked construction opportunity signals.

It supports Austin, Chicago, NYC, Cincinnati, and San Francisco in the MVP and returns structured permit records with matched trades, lead grades, score reasons, risk flags, and source-health reporting.

It provides public permit intelligence — not verified sales leads, email discovery, homeowner contact data, or outreach automation.