Texas Landman Engine

# Texas Landman Engine

AI-driven automation for Texas land brokerage

## Overview
An AI-driven automation platform that transforms manual land brokerage into intelligent, data-driven workflows. Automates the entire land acquisition, valuation, matching, and transaction lifecycle for brokers, investors, and sellers in the Texas real estate market.

## Vision
Texas land brokerage is manual and relationship-bound. The Landman Engine automates acquisition, valuation, and matching — turning a boutique operation into a data-driven land-trading powerhouse.

## Problem
### Manual land sourcing
Brokers manually find and evaluate land deals.
- Slow coverage
- Missed deals
- No scale
### Subjective valuation
Land priced by gut, not data.
- Inconsistent
- Missed value
- Slow transactions
### Weak buyer matching
Buyers and sellers matched by relationships, not data.
- Wrong matches
- Slow closes
- Lost deals

## Solution
### Automated acquisition
10,000+ properties/day from 15+ Texas data sources.
### AI valuation
Multi-model (CMA, Hedonic, ML ensemble) — 90%+ accuracy.
### 18-factor matching
Buyer-seller matching with confidence scoring.
### Spatial intelligence
PostGIS-powered geospatial analysis.

## Key Features
- **Data Acquisition**: 10K+ properties/day, 15+ sources
- **AI Valuation**: Multi-model, 90%+ accuracy
- **Smart Matching**: 18-factor buyer-seller
- **Spatial Intel**: PostGIS geospatial
- **4 Scoring Systems**: Valuation, Liquidity, Grade, Sellability
- **Risk Assessment**: Flood, environmental, regulatory

## Architecture
**Pattern:** 14 microservices, event-driven, Kafka, Kubernetes

- **Scrapers** (9 specialized scrapers): Data acquisition (15+ sources)
- **Processing** (Kafka event streaming): Real-time pipeline
- **Valuation** (CMA + Hedonic + ML ensemble): AI valuation (90%+)
- **Matching** (18-factor engine): Buyer-seller matching
- **Spatial** (PostGIS): Geospatial analysis
- **Orchestration** (Kubernetes, 14 microservices): Scalable deployment

## Tech Stack
### Backend
- Node.js 18+
- TypeScript 5
- PostgreSQL 15
- PostGIS
### Streaming
- Kafka
- Event-driven
### AI
- ML ensemble
- CMA
- Hedonic model
### Infra
- Docker
- Kubernetes
- Terraform

## Business Model
- **Broker SaaS**: Per-broker subscription
- **Transaction fee**: % on matched deals
- **Data API**: Valuation & comps API

## Target Audience
- Texas land brokers
- Land investors
- Land sellers
- Developer/builder land buyers

## Competitive Advantages
- 10K+/day acquisition scale
- 90%+ AI valuation
- 18-factor matching
- Spatial-native

## Market Potential
US land brokerage ~$10B, Texas largest market

## Pricing
$999–$9,999 / broker / month

### Pricing Tiers
- **Broker** ($999/mo) — Texas land brokers and solo investors
  - 1 broker seat
  - 10K+/day acquisition
  - 90%+ AI valuation
  - 18-factor matching
  - PostGIS map
- **Team** ($2,999/mo) — Land investor teams and small brokerages
  - 5 seats
  - Transaction fee discount
  - Risk assessment
  - Comps API
  - Priority support
- **Enterprise** ($9,999+/mo) — Developer/builder land buyers and large brokerages
  - Unlimited seats
  - Valuation data API
  - Custom scrapers
  - Legal/compliance review
  - Dedicated CSM

## Roadmap
### Phase 1: Core platform _(done)_
- 9 scrapers
- Valuation models
- Matching engine
- PostGIS
### Phase 2: Scale _(progress)_
- 14 microservices
- Kubernetes
- 4 scoring systems
- Risk assessment
### Phase 3: Production _(planned)_
- 99.9% uptime
- Auto-scaling
- Disaster recovery
### Phase 4: Growth _(planned)_
- Multi-state
- Mobile app
- Marketplace

## What We Need
- Funding for infra scale
- Texas broker partnerships
- DevOps engineer
- Legal/compliance review

## Looking For
- Strategic Investor
- Co-Founder
- Technical Partner

## Stage
Alpha (55% complete)

**Estimated MVP:** 4 months to production

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*This is an auto-generated overview from product configuration data.*