terrib1e
Joined 10 years ago
Joined 10 years ago
The biggest difference with hotels is that they operate more like businesses—you’re dealing with things like daily rates, fluctuating occupancy, and a lot more operational complexity. That makes the valuation process very performance-driven and dynamic.
With something like multi-family or storage, it’s more about stable leases, consistent rental income, and lower day-to-day volatility. The underwriting approach shifts accordingly—less focus on real-time performance, more on long-term cash flow and cap rates.
I’d love to hear more about what you’re working on or what you’d want to see in a tool like this. Sounds like we’re thinking in a similar direction.
I'm also available for other work/projects. I'm a full stack developer with a decade of experience working in government tech and real estate. Feel free to reach out!
Location: New York, USA (remote preferred, will relocate)
Seeking: Full-time / contract\
Accomplishments: -Built an AI-driven hotel valuation engine that processes P&L & STR data
-Migrated a government-program monolith to microservices, cutting deploys by 40%
-Tech: React, TypeScript, Tailwind, Node.js/Express, Spring Boot, PostgreSQL, Docker/K8s, AWS (Lambda, ECS), OpenAI/Gemini
Links: terrib1e.github.io/interactive-resume • github.com/terrib1e
Email: [email protected]
Happy to chat! Feel free to DM here or email me directly.
Also, he concedes Mythos-level capabilities will be cheap next year, then handwaves it with "you need the best AI, not good-enough AI." For most use cases, frontier minus six months is fine.