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Findora

$5,000

About

Scaling privacy for the future of Web3. Findora builds privacy through advanced zero-knowledge proof cryptography. An innovative layer-1, it combines a native UTXO ledger optimized for privacy with an EVM extension for programmability and interoperability. Developers can leverage either model as they build dApps with auditable privacy. We appreciate our developers and would love to onboard you to the Findora ecosystem. Please reach out, and join our social channels for more. Discord | Twitter | Telegram | Medium | LinkedIn | Facebook | Reddit

Scaling privacy for the future of Web3.

Findora builds privacy through advanced zero-knowledge proof cryptography. An innovative layer-1, it combines a native UTXO ledger optimized for privacy with an EVM extension for programmability and interoperability. Developers can leverage either model as they build dApps with auditable privacy.

We appreciate our developers and would love to onboard you to the Findora ecosystem. Please reach out, and join our social channels for more.

Discord | Twitter | Telegram | Medium | LinkedIn | Facebook | Reddit

Prizes

Findora$5,000

🏆 Findora is offering:

$5,000 for single winner

Developers can pick from either two option below when building their Findora EVM Dapps.

  • Best use of Private Transfer (or Private Cross-chain Transfer) SDK
  • Best Use of zkDID SDK 

Getting Started

Findora Private Transactions

Findora’s Privacy Routing SDK will allow developers to mask certain attributes from on-chain transactions: sender/receiver address, asset type, and asset amount. Using the SDK, developers can send private transactions from one Findora EVM address to another Findora EVM address.

Learn more about the Privacy Routing SDK

Zero-Knowledge Decentralized ID (zkDID)

Findora’s zkdid-js SDK consists of a collection of APIs to create decentralized identifiers (DIDs), credentials and proofs to enable DID holders to prove credential data (i.e. private information) about themselves in a zero-knowledge (zk) manner.

Zero-knowledge refers to the ability to cryptographically verify data without disclosing the exact credential value (i.e. cryptographically enable the verification that a DID holder’s credential contains credit score is above 700 — without revealing the exact number to the verifier).

For a conceptual overview of DIDs, credentials and the stakeholders in the credentialing and verification processes, visit the zkDID and Credentials modules section of Findora’s documentation. Also, please see the official W3C DID specification.

Learn more about the zkDID SDK

Support & Resources

Findora developers will be attending the onsite event in San Francisco to help support the hackathon participants. Additionally, developers may use the Findora Discord channel to ask questions and speak to a specialist from the team.