• a marketplace of talents - for recruitment and project team development,

• commercial marketplace for different services and a direct means of meeting people within the network of a particular business to get feedbacks from them about the business’ product or service.

• discovery:
smart recommendation - with the support support of community feedbacks on comment, call or real life meetup.

• network exploration - for developers:
six degrees visualisation - Interactive network map showing connection paths, filter by relationship types (friends/customers), highlight shortest paths to target users.

• instant group creation and scheduling, round-robin feature for customer support,

• group suggestions (smart group matching)
based on existing memberships.
common interests from TC ID profile - connected accounts.
mutual connections analysis.

• business features/products:
customer relationship dashboard
referral program integration

• analytics dashboards:
network performance data
friends/customer count
customer acquisition rate
network growth velocity
engagement scores - for products/services
revenue per connection based on payment integrations

• Inconsistent user relationship management

• Poor scalability for growing user connections

• Difficulty in implementing new social features

• Lack of standardized APIs for social interactions

• Performance bottlenecks in relationship queries

1. Primary Goals
• Create a unified system for managing user/group relationships
• Support multiple relationship types (friends, collaborators, groups, customers, business)
• Provide scalable graph querying capabilities

2. Success Metrics
• Query response time < 100ms for 95th percentile
• Support for 10M+ users and 1B+ connections
• 99.99% system availability
• 50% reduction in social feature development time

• User relationship management system

• Graph database implementation

• RESTful and GraphQL APIs

• Real-time update system

• Basic analytics and metrics

• Privacy and permission controls

• Task management system

• User authentication/authorization - thirdweb/TC ID solution

• Message/chat systems

• Content recommendation engine

• Support for bidirectional relationships (friends, groups, businesses, collaborators).

• Group membership management

• Relationship metadata storage

• Relationship state management (inactive, active, blocked, deleted)

• Get user's direct connections

• Get extended network (friends of friends)

• Find common connections

• Calculate social distance

• Filter connections by type

• Query by relationship metadata

• Relationship visibility settings

• Custom privacy rules

• Blocked user management

• Group privacy settings

• WebSocket connections for live updates

• Event notifications for relationship changes

• Activity feed generation

• Connection state changes

• Microservices-based design

• Event-driven architecture

• Graph database (e.g., Neo4j, Amazon Neptune)

• Caching layer for frequent queries

• Message queue for async processing

• Maximum query latency: 100ms

• Support for 100K concurrent users

• 10K write operations per second

• 100K read operations per second

• Horizontal scaling capability

• Sharding strategy for large graphs

• Read replicas for query distribution

• Cache distribution

• Encryption at rest and in transit

• Rate limiting

• Request authentication

• Audit logging

POST /relationships
GET /relationships/{userId}
PUT /relationships/{relationshipId}
DELETE /relationships/{relationshipId}
GET /users/{userId}/mutual-connections

type User {
  id: ID!
  relationships: [Relationship!]!
  mutualConnections(with: ID!): [User!]!
  groups: [Group!]!
}

type Relationship {
  id: ID!
  type: RelationshipType!
  status: RelationshipStatus!
  metadata: JSON
}

1. Users

2. Relationships - friends, friend of friends, customer.

3. Groups - business,

4. Privacy Settings

5. Relationship Metadata

• Graph Database System

• Message Queue Service

• Caching Service

• Authentication Service

• Analytics Platform

• Core data model implementation

• Basic relationship management

• Initial API development

• Advanced query capabilities

• Privacy controls

• Real-time updates

• Performance optimization

• Scaling improvements

• Analytics integration

1. All functional requirements implemented and tested

2. Performance metrics met under load

3. Successful integration with existing systems

4. Documentation complete and reviewed

5. Security requirements met

1. Machine learning integration for relationship suggestions

2. Advanced analytics capabilities

3. Integration with external social networks

4. Enhanced privacy features

5. Advanced group management features