An algorithm finds chains of exchange that connect your surplus to someone else's need, through businesses you'd never have thought of.
You have time on Friday afternoons. A theatre needs accounting help. They can offer rehearsal space. A design studio needs that space. They can do branding for a cafe. The cafe can cater your next event.
An algorithm finds these chains in seconds. Connections you'd never spot yourself. Everyone gives what they're not using. Everyone gets what they need. No cash changes hands.
This is a proof of concept: working code exploring how AI could solve the matching problem that money was invented for.
Interactive
Watch how the algorithm discovers exchange chains
Six businesses, each with something to offer. The arrows show what each could provide, but no two can trade directly.
Click the button to watch the algorithm find a chain that works.
Understand the mechanism →Go deeper
Scenarios showing what becomes possible when matching works without money.
Read the Scenarios →The principles guiding design decisions and the tensions we're navigating.
Read the Philosophy →WIR Bank has operated since 1934. 60,000 Swiss businesses still use it. The model works. AI just makes it scale.
Learn the history →Matching algorithms, trust calculations, exchange schemas. TypeScript, open source, ready to explore.
View on GitHub →We've analysed the hard questions (accountability, trust, governance, bad actors, transparency) in depth. Where we don't have answers, we say so.
See the questions →"Your spare Friday is someone else's missing piece."