Thread by @jerome_wong99

Look forward to the application scenarios of #DID in the future, it can be simply divided into two categories: Reputation and Relationship.

Reputation can evaluate and classify users by simplifying digital identities into some explicit and trusty labels, so as to do rapid screening. Reputation includes the following application scenarios:

1)  #Web3 credit loan: User's address is given a "credit score" which is used to calculate the deductible staking quota in a credit loan.

The “credit score” can be assessed through off-chain identity/asset proof, and the assessment can also include the user's past on-chain transaction records.

2) #Web3 job recruitment: Users can create an on-chain resume to effectively prove their abilities to #Web3 projects/DAO/community, etc., reducing information friction in the process of #Web3 job hunting.

3) #Web3 social networking: Develop the description of user labels, which can depend on the hodling of a specific #NFT. For example, hodlers of @BoredApeYC can be labeled as "rich". Similarly, hodlers of other sorts of #NFT, can also be labeled with different descriptions.

Relationship refers to some more complex and comprehensive applications through the accumulation of user data in #Web3.

1) #Web3 recommendation system: By making use of the user data in #Web3, some platforms will make efforts to form user portraits, and then carry out personalized recommendations and targeted advertisement, etc.

2) #Web3 games: Game developers can build up a game account system (GameID) with the help of user data in the #Web3 game to display the user's interest and ability in the game.

3) #DAO governance: "one person, one vote" fair voting.