How to Create a Profile on Tapestry: A Developer's Guide
Build decentralized social applications on Solana faster with Tapestry's composable social protocol
Profiles on Tapestry provide a flexible identity management system for modern applications, built on Solana's high-performance blockchain. As a decentralized social protocol, Tapestry provides the foundational infrastructure for applications that prioritize user sovereignty and data portability, enabling developers to create social experiences where users truly own their data and social connections across the ecosystem.
This guide walks through profile setup, API integration, and implementation best practices.
How Do Profiles Work on Tapestry?
A profile on Tapestry serves as a composable identity primitive that developers can customize based on their application's needs. Each profile operates within its own application, but can interoperate with other apps on the protocol.
Core Components
Every profile on Tapestry includes customizable fields for storing user information:
Username and basic identification
User biography and personal details
Profile imagery and media assets
Application-specific preferences
Connected applications and services
Additionally, custom properties can be passed into a profile. For example, the user’s favorite color or position on waitlist.
Profile Architecture
Profiles are designed with two key architectural principles:
Sovereignty: Users own their profiles as assets that their wallet controls.
Namespaces: Each profile is assigned to a given namespace, but can interoperate with other apps on the protocol. In the same way tokens stay in your wallet, but can be accessed by many apps, so too can profiles.
Implementation Guide
Setting Up Your API Key
Watch this loom by our product lead to see how easy it is to make a profile. For more information and code samples, see the full documentation.
Key Features for Developers
Profile Customization
Define custom attributes specific to your application
Create flexible schema definitions
Support for complex data types
User Segmentation
Group users based on profile attributes
Enable targeted features and content
Build sophisticated user cohorts
API Integration
RESTful endpoints for profile management
Real-time update capabilities
Comprehensive query options
Development Best Practices
Below are some guidelines to ensure robust, scalable, and secure profile implementation in your applications:
Data Collection
Implement progressive profiling to gather data incrementally
Collect only essential information relevant to your application
Validate and sanitize all user-provided data
Profile Maintenance
Implement regular update mechanisms
Archive or remove outdated information
Maintain audit logs for profile changes
Performance Optimization
Cache frequently accessed profile data
Implement efficient query patterns
Use batch operations for bulk updates
Learn More
Head to our documentation to find:
Complete API reference
Code samples in multiple languages
Integration tutorials
Best practice guides