Member Registration - skenai/WILL GitHub Wiki
version: 2.1.0 date: 2025-03-15 type: research-doc status: public tags: [william, member, registration, research, theoretical] related: [Research-Disclaimer, Technical-Implementation, Community-Framework] changelog:
- version: 2.1.0
date: 2025-03-15
changes:
- "MAJOR: Enhanced research clarity"
- "MAJOR: Strengthened theoretical foundation"
- "MAJOR: Added research validation requirements" references:
- "Research-Disclaimer"
- version: 2.0.0
date: 2025-03-04
changes:
- "MAJOR: Switch to YAML frontmatter"
- "MAJOR: Enhanced metadata structure" references: []
- version: 1.0.0
date: 2025-03-03
changes:
- "MAJOR: Initial documentation" references: []
IMPORTANT RESEARCH NOTICE: This documentation describes a theoretical research project under active development. All features, systems, and capabilities discussed here are research objectives that require extensive testing and validation. All registration methods, tracking systems, and reward mechanisms are proposed models pending practical implementation.
SKENAI DAO Member Registration Research
Research Overview
The SKENAI DAO research project investigates theoretical approaches to member registration and engagement tracking, exploring authentication methods while maintaining privacy options. All components require thorough validation.
Registration Research Methods
1. Web3 Authentication Research
Research Integration:
- ERC20 Wallet Research
- Experimental Networks:
- Ethereum Mainnet (requires validation)
- Polygon (under testing)
- Arbitrum (experimental)
Initial XP Study: 500 XP (theoretical)
2. Social Authentication Research
Research Platforms:
Farcaster Research:
- Integration: Experimental
- XP Study: 300 XP (theoretical)
- Research Benefits: William interaction studies
Twitter Research:
- Integration: OAuth2 validation
- XP Study: 200 XP (theoretical)
- Research Benefits: Engagement analysis
Email Research (Optional):
- Purpose: Research communication
- XP Study: 100 XP (theoretical)
- Privacy: Research-based opt-in
Member Identity Research System
Research Identifiers
- 0x Address Research: Unique wallet validation
- DAO ID Research: Experimental identifier system
- Social Research: Connection validation studies
Privacy Research Options
Research Privacy Levels:
Anonymous Research:
- 0x address validation
- Pseudonymous research
Connected Research:
- Social handle validation
- Email research framework
Public Research:
- Profile validation studies
- Contribution research
Referral Research Program
Research Structure
<<<<<<< HEAD
Research Rewards:
Base Studies:
Referrer: 1000 XP (theoretical)
Referee: 500 XP (theoretical)
=======
Referral Rewards:
Base:
Referrer: 1,000,000 SHIBAKEN
Referee: 500,000 SHIBAKEN
>>>>>>> 5db85bfdbd578538fdb102ced96e10bcd467cf72
Research Multipliers:
Active_Research: 1.5x (experimental)
Core_Research: 2x (theoretical)
Council_Research: 3x (proposed)
<<<<<<< HEAD
Token Research:
SHIBAK: 40% (theoretical)
SBX: 30% (experimental)
EVS: 30% (proposed)
=======
Token Distribution:
[SHIBAKEN Token](/skenai/WILL/wiki/SHIBAKEN-Token): 40%
[SBX Token](/skenai/WILL/wiki/SBX-Token): 30%
[EVS Token](/skenai/WILL/wiki/EVS-Token): 30%
>>>>>>> 5db85bfdbd578538fdb102ced96e10bcd467cf72
Research Tracking
- Link validation studies
- Contract verification research
- Social proof analysis methods
Leaderboard Research System
Research Categories
-
Contribution Research
- XP validation studies
- Proposal analysis methods
- Engagement research metrics
-
Track Research
- Genesis research methods
- Research validation track
- Community research studies
- Evolution analysis framework
-
Social Research
- Farcaster validation studies
- Twitter analysis methods
- Blog contribution research
Research Rewards
<<<<<<< HEAD
Weekly Research:
Top_3 Studies:
First: 5000 XP + NFT (theoretical)
Second: 3000 XP (experimental)
Third: 2000 XP (proposed)
Track Research:
XP_Study: 1000 XP (theoretical)
Multiplier: 1.5x (experimental)
=======
Weekly_Rewards:
Top_3:
First: 5,000,000 SHIBAKEN + NFT Badge
Second: 3,000,000 SHIBAKEN
Third: 2,000,000 SHIBAKEN
Track_Leaders:
SHIBAKEN_Bonus: 1,000,000
Multiplier: 1.5x next week
>>>>>>> 5db85bfdbd578538fdb102ced96e10bcd467cf72
Monthly Research:
Consistency_Study: 2x (theoretical)
NFT_Research: Experimental edition
Governance_Study: +10% (proposed)
Research Integration Points
1. Smart Contract Research
// Research Notice: This interface represents a theoretical implementation
// that requires thorough validation and testing.
interface IMemberRegistryResearch {
function register(address wallet) external returns (uint256 daoId);
function linkSocial(uint256 daoId, string calldata platform, string calldata handle) external;
function updatePrivacy(uint256 daoId, uint8 privacyLevel) external;
function getReferralRewards(address referrer, address referee) external view returns (uint256);
}
2. API Research Endpoints
Registration Research:
- POST /api/v1/register (experimental)
- POST /api/v1/link-social (theoretical)
- PUT /api/v1/privacy-settings (proposed)
Leaderboard Research:
- GET /api/v1/leaderboard/global (experimental)
- GET /api/v1/leaderboard/track/{trackId} (theoretical)
- GET /api/v1/member/{daoId}/stats (proposed)
3. Event Research Tracking
Research Events:
Member Studies:
- Registration validation
- Social link research
- Privacy update analysis
- XP validation methods
Referral Research:
- Link generation studies
- Success rate analysis
- Reward distribution research
Engagement Studies:
- Proposal validation
- Vote analysis methods
- Social interaction research
Research Implementation Framework
1. Website Research Design
Research Components:
Hero Studies:
- Mission validation
- Registration research
- Statistics analysis
Feature Research:
- XP system validation
- Track analysis methods
- Implementation studies
2. Research Adoption Metrics
Research Targets:
Daily_Studies:
Registration_Goal: 100 (theoretical)
Referral_Rate: 30% (experimental)
Success_Metrics: Under validation
Monthly_Analysis:
Growth_Rate: 25% (theoretical)
Retention_Study: 70% (experimental)
Engagement_Research: Ongoing
3. Research Implementation Notes
- All registration methods require validation
- Reward systems need thorough testing
- Privacy features are experimental
- Integration points need verification
- Metrics require extensive testing
Contact Information
- Research Team: [research]
- Development: [dev]
- Documentation: [docs]
- Support: [support]
A Note to Our Family
While maintaining our rigorous research foundation, we recognize that William's strength comes from bringing people together. As a family-focused business, we:
- Value research integrity
- Share verified insights
- Support each other's growth
- Build trust through honesty
- Win through excellence
<<<<<<< HEAD Remember: While we operate as a family business, our foundation is built on rigorous research and validation. Every feature and capability represents ongoing research that requires thorough testing before practical implementation.
Phase 3: Engagement Features
- Leaderboard implementation
- Referral system
- Enhanced analytics
Phase 4: Advanced Features
- NFT badges
- Enhanced privacy options
- Cross-platform integration
Success Metrics
Adoption:
Target:
Daily_Registrations: 100
Referral_Rate: 30%
Social_Links: 50%
Engagement:
Metrics:
Active_Members: 70%
Weekly_Contributions: 5/member
Social_Interactions: 10/member/day
Retention:
Goals:
30_Day: 80%
90_Day: 60%
Annual: 40%
Token Allocation
```yaml
Distribution:
[SHIBAKEN Token](/skenai/WILL/wiki/SHIBAKEN-Token): 40% # Core governance and participation
[SBX Token](/skenai/WILL/wiki/SBX-Token): 30% # Network value measurement
[BSTBL Token](/skenai/WILL/wiki/BSTBL-Token): 20% # Stability mechanism
[SBV Token](/skenai/WILL/wiki/SBV-Token): 10% # Value flow tracking
Integration with NATURAL Framework
- Clean repository separation
- Natural pipeline flow
- Validator protection
- Interface standards
Pipeline API Integration
- /pipeline/submit - Entry point
- /pipeline/validate - Basic checks
- /pipeline/analyze - Efficiency (Q.1)
- /pipeline/patterns - Recognition (Q.2)
- /pipeline/status - State checks
- /pipeline/vote - Governance
Integration with Three-Graph Lattice
- Technical graph validation
- Economic resource optimization
- Quality metrics tracking
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