Hyvmind
{"type": "project", "title": "Hyvmind", "logoImg": "bafkreiakn6x6q72llsqp4hdil4h6yfepix7nestwhdeiopxqrdtkuq7h6y", "website": "https://hyvmind.xyz", "bannerImg": "bafkreib6753r3ddvxazw2rwa6x6aqhkf3ofesqr3fqaff7psudsmx4eckm", "createdAt": 1743243892079, "userGithub": "anshuman-ecc-eth/", "credentials": {"twitter": {"type": ["VerifiableCredential"], "proof": {"type": "EthereumEip712Signature2021", "created": "2025-03-29T10:24:17.287Z", "@context": "https://w3id.org/security/suites/eip712sig-2021/v1", "proofValue": "0x6e81723892521f5b339f6e8eb672cdfe18685ebd6e4684f08eda39cdffcb1f8534d6d5318b0114df14edf90cb420521bbb4b5ec95a35a137666f2e84edd279021c", "eip712Domain": {"types": {"Proof": [{"name": "@context", "type": "string"}, {"name": "created", "type": "string"}, {"name": "proofPurpose", "type": "string"}, {"name": "type", "type": "string"}, {"name": "verificationMethod", "type": "string"}], "@context": [{"name": "nullifiers", "type": "NullifiersContext"}, {"name": "provider", "type": "string"}], "Document": [{"name": "@context", "type": "string[]"}, {"name": "credentialSubject", "type": "CredentialSubject"}, {"name": "expirationDate", "type": "string"}, {"name": "issuanceDate", "type": "string"}, {"name": "issuer", "type": "string"}, {"name": "proof", "type": "Proof"}, {"name": "type", "type": "string[]"}], "EIP712Domain": [{"name": "name", "type": "string"}], "CredentialSubject": [{"name": "@context", "type": "@context"}, {"name": "nullifiers", "type": "string[]"}, {"name": "id", "type": "string"}, {"name": "provider", "type": "string"}], "NullifiersContext": [{"name": "@container", "type": "string"}, {"name": "@type", "type": "string"}]}, "domain": {"name": "VerifiableCredential"}, "primaryType": "Document"}, "proofPurpose": "assertionMethod", "verificationMethod": "did:ethr:0xd6f8d6ca86aa01e551a311d670a0d1bd8577e5fb#controller"}, "issuer": "did:ethr:0xd6f8d6ca86aa01e551a311d670a0d1bd8577e5fb", "@context": ["https://www.w3.org/2018/credentials/v1", "https://w3id.org/vc/status-list/2021/v1"], "issuanceDate": "2025-03-29T10:24:17.285Z", "expirationDate": "2025-06-27T10:24:17.285Z", "credentialSubject": {"id": "did:pkh:eip155:1:0x19439fCdB55A5A16f44d9AdEEa68670414B3a5C6", "@context": {"provider": "https://schema.org/Text", "nullifiers": {"@type": "https://schema.org/Text", "@container": "@list"}}, "provider": "ClearTextTwitter#anshuman_ecc", "nullifiers": ["v0.0.0:/mcmPokKnb9BJ7C42mUd/ejBFaS5GdAIMmHZI73DsGk="]}}}, "description": "*What*\nHyvmind is a 'research to earn' app for lawyers. It rewards them for contributing to an open source semantic-data layer.\n\n*Why*\nHuman annotated datasets play a critical role in training language models. But sourcing them is considered expensive and time-consuming. The irony is that researchers invariably create such annotations for themselves, without being aware of their value. \n\n*How*\nImagine an app where legal researchers could (a) own each annotation that they made on a public document, (b) encrypt and preserve it as a private asset or deposit it in a common pool for rewards, (c) collect assets shared by others, (e) combine owned and collected assets to create private curations and knowledge subgraphs.", "logoImgData": {}, "bannerImgData": {}, "projectTwitter": "anshuman_ecc"}