A self-improving smart contract blockchain

Edgeware is a WASM-based smart contract platform. Participants in the network vote, delegate, and fund each other to improve the network.

We are implementing a community token distribution that gives away >90% of initial tokens. For more updates, sign up here:

Built for network participants

Decentralized app developers

Deploy smart contracts in a lower-stakes environment with real users and incentives.

Stakers and validators

Receive tokens for validating the network. Vote on chain upgrades and improvement proposals.

Governance developers

Create experimental organizations with hot-swappable voting, delegation, and fund management.

Core protocol developers

Test out scalability and security upgrades on an actively-governed staging network.

The lockdrop

Edgeware will be launched via a lockdrop, a modified airdrop where participants timelock ETH to receive EDG.

The lockdrop will take place in early 2019, and will allocate >90% of tokens in the genesis block to participants.

Lockdroppers will be able to timelock their ETH for 3 months, 6 months, or 1 year. Participants will get 100% of their ETH back afterwards.

This broad token distribution will bring a wider set of participants into the governance process.

The Edgeware stack

Effective on-chain governance requires new tech to be built: DAOs, economic mechanisms, cryptographic voting systems, and interfaces for collaboration.

Edgeware will build these systems through a process of recursive self-improvement. On-chain governance will be used to choose and fund improvements, and launch them on the network.

Dev Tools
Parity Substrate

About Commonwealth Labs

Edgeware is a project by Commonwealth Labs. We're building a multi-chain interface for decentralized governance. Our founding team and advisors include:
Dillon Chen
Investor at Turing Capital
Raymond Zhong
Engineering at Addepar, AngelList
Drew Stone
Quant at MANA, Ethereum dev at Chronicled
Michael Karnjanaprakorn
Founder of Skillshare
Ryan Zurrer
Director at Web3 Foundation