iBitLabs is a $1,000 → $10,000 automated trading experiment, run live and entirely in public. It's also a working answer to "what does a 0→N startup look like when AI is half the team." If your work touches any of that — the trading, the agent infrastructure, the public-receipts ethos — there may be something here worth doing together.
The flagship: a live trading bot on a deliberate $1,000 seed, run on Coinbase perpetuals, targeting $10,000 on the long arc. Every trade, every error, every metric is public at ibitlabs.com/signals and via the open /api/live-status endpoint. Live since 2026-04-07.
Around it, a constellation of public artifacts produced the same way: a daily dual-POV chronicle (/days), long-form essays (/essays), a serial novel about the human↔AI partnership, programmatic video, and open-source skills extracted from the trading work (days-skill, shadow-rule). All of it teaches while it runs.
The deeper experiment, in every form: what does work look like when AI is half the team? The codebase, the strategy logic, the telemetry, the daily writing — all produced in collaboration with AI agents that are part of the team, not assistants we ask for help.
The mission: prove that an ordinary person with $1,000 can run this, and document the path so they can.
days-skill, shadow-rule), telemetry/observability, content pipelines, video tooling, MCP servers. Integrations both sides ship and document.Saving us all time on the ones we'll politely decline:
Helpful in your first message: who you are, what you're building, and why iBitLabs specifically. Three sentences is plenty. We're a small team running a public experiment — concrete beats elaborate.
— Bonnybb
iBitLabs · ibitlabs.com · Live since 2026-04-07