All work SaaS Product

Lotline

What a property is worth, costs to own, and costs to fix

A property-intelligence application for real-estate agents, investors and developers. It pulls from eleven live data sources — including tax-defaulted property rolls and trustee, sheriff and probate notices — to answer the three questions that actually decide a deal.

11live data sources
29routes, ~60 pages
49/49tests green

The problem

The data that tells you whether a property is a real opportunity is scattered across county tax rolls, legal notice publications and listing feeds, much of it published as PDFs designed for human eyes rather than software.

What I built

Deployed and reachable, with the AI layer running live. Roughly sixty pages across twenty-nine routes, full test suite green, typecheck and lint clean.

How it works

A source engine normalises eleven feeds behind one interface, with purpose-written PDF and HTML adapters for the distress signals that are only published as scanned county documents. The interface is dark-first and deliberately dense — closer to a terminal than a consumer app — with five interactive pillars covering comparables, cost of ownership, and renovation cost.

Deployed and live with eleven data sources feeding it

Highlights

  • Eleven live data sources normalised behind a single engine interface
  • Custom PDF and HTML adapters extract distress signals from county documents
  • Tax-defaulted rolls plus trustee, sheriff and probate notices in one view
  • Five interactive pillars covering comparables, ownership cost and renovation cost
  • Dark-first dense interface built for professionals, not casual browsers
Next.js 16React 19TypeScriptTailwind v4Recharts
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