dacc.fund maps the landscape, surfaces live funding demand, and gives builders and funders a common place to coordinate.
From open source infrastructure to privacy tools and decentralized energy grids—explore live funding campaigns, past results, and upcoming opportunities across the d/acc ecosystem.
A framework, by Vitalik Buterin, for accelerating technologies that preserve human flourishing and democracy. d/acc identifies and supports the technologies that expand human agency while resisting capture by centralized powers.
Developmental
Improves human capability and flourishing
Decentralized
Power flows from edges to center
Defensible
Resists capture by states or corporations
Democratizing
Expands access to powerful capabilities
An attractor to capital/builders
dacc.fund is the simplest possible entry point to the d/acc ecosystem. The URL itself carries the idea: d/acc + funding = dacc.fund
A reflexive growth engine
Every funding round strengthens the ecosystem. Projects create impact, impact attracts builders, builders attract capital — and the cycle compounds.
Ecosystem cartography
Track relationships, map projects, and build institutional memory. The ecosystem becomes increasingly legible with each round.
Coordination mechanism
A place where builders show up, funders show up, projects get mapped, capital gets deployed, and the ecosystem grows itself.
Two pathways to accelerate the d/acc ecosystem
Connect with aligned funders and support d/acc technologies through coalitions, grants, and quadratic funding mechanisms.
Open protocol for federated AI model training across personal devices without sharing raw data. Contributors earn stablecoin rewards; governance managed by DAO. Designed to democratize AI training while preserving user privacy.
AI-assisted governance system for emerging cities (DeepGov) combining community input, configurable AI representatives, and quadratic voting to support democratic decision-making in edge cities and charter cities.
Funding Announcement →Non-profit research organization developing Security Level 5 (SL5) model-weight security prototypes for AI labs, including hardware and software fixes to protect AI model weights from theft or misuse.
Funding Announcement →
