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Siddhi Secure Skill Streaming Social Token Network

  • Self Organized and Self Stablized Skill Streaming Protocol on Matic Network

Introduction

SiddhiNet is a Secure Streaming Network for Social Token Distribution for Skilled Professionals within Self Organized Networks. Skills are defined as Self Soverign Social Tokens. Privacy Preserving Proofs are constructed using Zokrates Toolkit for Skill Self Verification, Sequence Verification and Summary Verification. Skill Social Tokens are generated as ERC 721. Skill Session Tokens are generated from Chainlink VRF. Skill Selection Oracles are also constructed from ChainLink VRF. Skill Streams are constructed from ERC 1620 Specifications. Skill Social Tokens are anonymized on Zether Framework.

MATIC TestNet

BSC TestNet

Features

  • Skill Self Verification through Privcy Preserving Zokrates Contracts
  • Skill Summary Verification through Privacy Preserving Zokrates Contracts
  • Skill Sequence Verification through Privacy Preserving Zokrates Contracts
  • Skill Social Verification through Minimal Anti Collusion Framework
  • Skill Streaming with Time Locked Pause and Freeze Facilities
  • Skill Token Distribution over Money Streaming Protocol
  • Skill Token Supply Expansion and Contraction on Bonding Curves
  • Skill Streaming based on Multi Dimensional Time Locks
  • Skill Token Integration with Anonymous Zether Framework
  • Multi Dimensional Time Locks using Verifiable Delay Functions
  • Privacy Preserving Confidential Skill Share and Yield Tokens

Roadmap

  • Optimistic Rollup based Dispute and Fraud Control
  • Stationary Time Average Functions using Verifible Delay Functions
  • Zero Knowldge Rollups for Skill Exchange on the Layer 2 DEXs
  • Zero Knowldge Proofs for Minimal Anti Collusion in Skill Selection