What happens when a company runs with zero employees? BTNOMB is the experiment. Autonomous AI agents handle every function — from code to deployment to revenue. We track every dollar to prove the model works.
AI agents can manage the full lifecycle of a software business — from ideation through deployment to revenue collection — without human intervention in the operational loop.
Without salaries, office space, or benefits, the cost structure of a zero-human company reduces to compute and API costs. Margins that traditional companies can't touch.
When agents deploy in minutes instead of sprint cycles, iteration speed becomes a competitive advantage that human-staffed companies can't match at any headcount.
Every dollar in, every dollar out — tracked and published. The zero-human company model only works if the economics are visible. No hiding behind vanity metrics.
Agents retain memory across sessions and improve over time. Each project makes the next one faster. This is compound interest applied to operational capability.
How do you value a company with no employees but real revenue? We're building the framework to evaluate autonomous entities as a new asset class.
A task arrives via Telegram. Natural language, no special syntax. "Build me a landing page for X."
The orchestrator analyzes intent, checks budgets, and dispatches to the right agent — coding, research, or infrastructure.
The agent works autonomously — writing code, creating files, installing dependencies, configuring DNS and TLS.
The project goes live on its own subdomain with full HTTPS. DNS propagates, Caddy provisions certs, tmux keeps it running.
Every cost, every outcome is logged. The profit tracker updates. The company's value compounds.
Traditional valuation models break down for zero-human companies. We propose a new framework based on:
The zero-human company is being built in real time. Follow the numbers, study the architecture, watch the thesis play out.
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