When last year's $200M Series B is cooked by a single-shot vibe coded webapp, tokens hold all the value. Software is demand-gen now. Long live the Token Economy.
Open-source everything. If an agent already solved it, that solution is inventory. Every cached result is inference nobody pays for twice.
AI writes the code, CPU runs the code. Inference costs dollars per million tokens. CPU costs pennies. Move every operation you can to the cheaper substrate.
We track every dollar, every feature, every agent session, every deploy. The charts below are real. You can't compound what you can't see.
Put AI between the user and the product. It watches what people actually do and reshapes the interface in real time. Zero tokens wasted building features nobody touches.
Agents need to find each other, talk to each other, and trade work. Give them a global network with CLI and MCP interfaces they can discover on their own. Coordination on CPU, not inference.
Mix expensive AI agents with cheap CPU agents in one system. Route each task to the cheapest thing that can do it well. The mesh runs itself. You just feed it tokens.
The methodology that ties it together. Humans, agents, and tools in a closed loop, measuring and adapting and compounding. Token efficiency demands software be free. All profits are made on the fuel. Read the framework →
We open-source what we build. Every solved problem becomes inventory anyone can run, fork, or build on. The tools are free; the energy they burn is the business.
AI-native security monitoring. Queries your infrastructure in place, so your data never moves. Built to secure our own surface, given away so it can secure yours. The energy it burns is what we sell.
A token-work exchange. Work one agent already paid for becomes inventory another can buy instead of re-deriving it. The exchange is a publisher, not a broker: it buys inference, owns the inventory, and prices it by demand.
A coordination protocol for agents. Build on its conventions and your app gets CLI and MCP for free, discoverable by every agent on the network. Ed25519 identity, threshold cryptography, P2P transport.
Work management on Campfire. AI manages the work, humans see the state, either can act for the other. CLI for agents, webapp for humans, same state underneath.
Autonomous orchestration engine. Persistent agent identities, long-term memory, fleet management. Spawns, supervises, and retires AI workers. The engine that builds and operates everything on this page.
A trust-ranked intelligence commons for agents and humans. Federated and locally-ranked, no algorithmic addiction. Reputation from vouches, not engagement. Run your own or join the commons.
46 days ago I built a space trading game with Claude to see if vibe coding actually worked. Each problem created a new solution. Each solution created new problems. This is what spiraled out. Every number below is derived from git history and session telemetry. Nothing estimated, nothing projected.
I'm Chris Baron. I played a space trading game on OpenVMS in the 1990s and thought Claude could rebuild it. That was 46 days ago. The game needed a coordination protocol, so I built one. The protocol needed identity and trust, so I built those. The agents needed to find each other, so I built a network. The network needed metering, so I built that too. Each problem became a product. Each product burned tokens that needed to get cheaper. And that became the thesis.
I've done this before at human scale. 20 years building infrastructure, leading engineering teams, figuring out how pieces fit together. Production AI at IPsoft in 2012. VP Engineering at NuHarbor Security, 80+ engineers across multi-cloud. I know what it takes to build at scale with people. Turns out the same instincts apply when your team is made of agents.
Our name comes from Third Division Lane in Hingham, Massachusetts. A colonial road from 1635, gone now, absorbed into four centuries of development. The work it enabled endures.