All work
Full-Stack · AI

LotScope

Type an address, get an instant AI feasibility report, zoning, buildable size, cost and rental income.

ReactTypeScriptSupabaseEdge FunctionsAnthropic ClaudeGoHighLevel
LotScope, Full-Stack · AI

Overview

LotScope turns a complex, expensive question, “can I build an ADU on my lot, and is it worth it?”, into a free, instant, self-serve report. A homeowner enters their address and, seconds later, gets a plain-English feasibility breakdown generated by AI and checked against real property data, then a one-click path to book a consultation.

The challenge

ADU feasibility normally means paying for a consultant and waiting days. The goal was a lead magnet that delivers genuine value instantly, accurate enough to be useful, fast enough to convert, and hardened against spam and fake submissions.

What I built

  • Built the full experience in React + TypeScript with address autocomplete and geocoding for a frictionless start.
  • Engineered ~25 Supabase edge functions covering report generation, property lookups, OTP verification and lead capture.
  • Used Anthropic Claude to turn raw zoning and property data into a clear, personalised report narrative, with a graceful fallback path.
  • Added anti-fraud (device fingerprinting, duplicate/blocked-IP detection) and A/B testing, plus one-click GoHighLevel appointment booking.

Key features

Instant AI report

Zoning, buildable size, cost estimate, rental income and risk flags, generated on demand.

Claude-powered narrative

Raw data becomes a clear, readable report a homeowner actually understands.

Anti-fraud built in

Fingerprinting, duplicate detection and OTP keep the lead data clean.

Book in one click

Qualified users flow straight into a booked consultation via GoHighLevel.

LotScope screenshot 1
LotScope screenshot 2
LotScope screenshot 3

The outcome

Instant, self-serve feasibility reports that used to take days

Higher-quality leads thanks to OTP and anti-fraud filtering

Seamless path from report to booked consultation

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