project screenshot 1
project screenshot 2
project screenshot 3
project screenshot 4
project screenshot 5
project screenshot 6

Confide.id

Decentralising community trust. Aiming to solve the problem of digital trust and identification by relying on the most reliable metric: human relationships. Users can validate people they know, creating a web of trust that can be queried to form new networks and test legitimacy.

Confide.id

Created At

ETHGlobal Tokyo

Winner of

trophy

🌱 NETH — Ecosystem Impact

Project Description

This project aims to create a web of trust on chain, where instead of validators or other parties creating universal verification (e.g. verifying to anyone that a given user has a given credential), the trust is personal between people and based on human relationships. A given user is able to say that they trust another in different ways. They can trust the authenticity of another user, that is to declare they are a real person (Proof of Personhood). This may be because they have met them in real life at an event such as a hackathon. They can also trust whether the user is truthful and reliable in their judgement. This may be because they are colleagues or friends and know them to be trustworthy. Trusting a user doesn't create any sort of "reputation" or "vouch", only posting on chain the fact that I, User A, trust User B to some extent. Once a user has a direct network, they can expand their network of trusted users by looking at the connections of their own connections. For example, if User A trusts User B to be real and trustworthy, and User B does the same for User C, User A can trust that User C is almost definitely real, and can make a judgement about whether they fully or partially trust them (or maybe not at all). The project also facilitates making judgements from combining partial trust - if 3 parties User A believes are real but potentially aren't trustworthy agree that User B is real and completely trustworthy, User A can be sure that User B is almost definitely real, and can again make a judgement about how trustworthy they are. The onchain implementation stores trusted parties for each user in a contract, allowing them to look up and update their trusts. A webapp allows users to determine whether other users are within a certain degree of trust of their network. For the scope of this hackathon all networks are public, although it could be possible to implement a ZK approach in the future.

How it's Made

The frontend uses React/Typescript on Next.js with a bespoke UI component and interaction system. The interface is designed for mobile first. The trust system is stored on chain in a Solidity contract and uses an offchain computation to find paths between users, which are validated on chain before being accepted.

background image mobile

Join the mailing list

Get the latest news and updates