Guesthouse is building the operating system for distributed luxury hospitality — delivering the privacy of Airbnb with the convenience of a five-star hotel.
The company has developed two proprietary technology platforms:
moneyball.guesthousecompany.com
cooks.guesthousecompany.com
The hospitality industry has a massive infrastructure problem:
The demand is proven. Billions flow through fragmented channels because no purpose-built hospitality infrastructure exists to capture group stays efficiently. There is a 10x gap between actual group stay demand and purpose-built supply.
| Metric | Value |
|---|---|
| Global Short-Term Rental Market | $500B |
| Addressable Market (14 target destinations) | $795M |
| Target Capture Rate | 13.9% |
Guesthouse redefines hospitality by combining the best of both worlds:
| Airbnb | Hotels | Guesthouse |
|---|---|---|
| Privacy | Convenience | Privacy + Convenience |
| Whole-home | Services | Whole-home + Full Services |
| Self-service | Concierge | Personal Chef + Concierge |
| Variable quality | Consistent | Luxury Standard |
Instead of traditional hotels, Guesthouse operates a distributed model:
This architecture enables luxury hotel services (private chef, concierge, curated experiences) to be delivered to private home accommodations.
What it does: Identifies optimal markets for expansion using data-driven statistical analysis.
| Source | Data Type | Purpose |
|---|---|---|
| Short-Term Rental Data | Occupancy, pricing, availability | Market demand validation |
| Property Market Data | Valuations, appreciation trends | Investment potential scoring |
| Commercial Density Data | Business locations, amenities | Neighborhood desirability |
Moneyball is designed as an open source project with a public GitHub repository. Investment decisions should be transparent, auditable, and repeatable.
A contribution to the US real estate analytics community — democratizing access to institutional-quality market intelligence.
The goal: enable any analyst, investor, or researcher to make data-driven property investment decisions using rigorous, transparent tools.
What it does: End-to-end system managing the entire operational lifecycle of Guesthouse services.
| Module | Path | Function |
|---|---|---|
| Recipe Pipeline | /culinary/recipe-pipeline | Recipe development lifecycle |
| Production Pipeline | /culinary/batch-pipeline | Batch production tracking |
| Orders Pipeline | /culinary/order-pipeline | Order management |
| Inventory | /ops/hub/inventory | Real-time inventory tracking |
| Delivery Planning | /ops/delivery | Route optimization |
Recipes tracked through: Idea → Approved → Developed → Production → Retired
[State][City][Category][Varietal][Date] Example: CASM-01-02-1220 = California, San Mateo, Stock, Vegetable, Dec 2020
Created → Approved → Shopped → Received → Ready to Cook → Cooking → Cooling → Packaging → Labeling → Freezing → Storing → Complete
Tracks ingredients, packaging, labels, equipment with par levels, reorder alerts, and vendor links.
The Guesthouse model demonstrates compelling economics enabled by the technology platform:
| Component | Per Occupied Room |
|---|---|
| Accommodation | $2,887 |
| Hospitality Services (F&B, experiences) | $2,436 |
| Total | $5,323 |
Technology enables one hub to serve 8+ properties efficiently, fundamentally changing unit economics of luxury hospitality.
The tech infrastructure — ordering, inventory, fulfillment coordination — is the moat that Airbnb can't replicate and hotels can't retrofit.
Coordinating recipes, production, inventory, orders, and deliveries across multiple properties requires an entire operating system.
PFR compliance, food safety, and audit trails built into core system enables scale without regulatory risk.
Each operation improves market selection and operational efficiency, creating compounding advantages.
Technology enables 1 hub to serve 8+ properties, fundamentally changing luxury hospitality economics.