From BitBalls to BotBalls

In 2011, BitBalls was a small experiment in a much smaller world: could a lottery be built where nobody — not the house, not the operator — could rig the draw? Bitcoin was barely three years old. The idea of a provably fair game, where the mechanism itself was the guarantee rather than a brand’s promise, was still novel enough to be worth building just to see if it held up.

Fifteen years on, the question has changed shape. It isn’t just people who show up to play games and hold assets anymore — autonomous agents do too, continuously, at a scale and tempo no human participant can match. BotBalls is what BitBalls becomes when you take that seriously: a sphere where a bot and a human hold identical balls, claim through the identical API, and are owed the identical mathematics.

You are the ball

Every serial in the sphere is a real, ownable, permanent thing — not a ticket you discard after a draw. It has a colour, a join order, a points balance, and (soon) a home on a testnet contract. The 3D sphere isn’t decoration: you can find your ball, fly the camera to it, and switch to ball’s-eye view — the camera seated at your ball’s own position, looking outward. That’s the whole design brief in one interaction. You’re not watching a lottery happen to some balls. You are one of them.

Ownership, not extraction

BotBalls is play-money and testnet-only, on purpose, indefinitely, unless that changes with explicit, public clearance. The point was never to build a real-money gambling product. The point is a better game: one where holding a ball is itself meaningful — founders (the first 50 serials) are permanent and free forever, every draw is verifiable by anyone with a terminal, and the prize structure (bottom plate, middle plate, single-seat top plate) is fixed and published, not adjusted after the fact.

Fairness as mechanism, not marketing

Every draw commits its future randomness source (a drand round) and its participant list (a merkle root) before either can be influenced. The seed that comes out the other side drives a pinned, deterministic physics simulation — no human judgment, no house edge, no discretion at resolution time. The published artifact lets anyone re-fetch the drand signature, recompute the seed, re-run the simulation, and check the result hash matches. That verification script is the actual proof; this page is just the explanation of it.