Orchestra
Community-Driven Artist Relationship Platform
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Overview
Orchestra is a community-driven platform for documenting band member relationships within the music industry. Built as an experimental standalone application, it enables music fans to search for artists and contribute band member information through a curated submission process. Orchestra operates on the Knokr database, extending primary artist data into secondary and tertiary relationship networks that inform music scene discovery and industry business intelligence.
The platform serves dual purposes: as a functional community tool for completing artist data and as an isolated testing environment for artist relationship building, search functionality, and feature experimentation before integration into the broader Knokr ecosystem.
Purpose
Artist Relationship Mapping
Collect band member data to establish secondary and tertiary artist connections that would otherwise remain undocumented. These relationships form the foundation for music scene discovery systems and recommendation engines based on shared members, festivals, genres, and geographic proximity.
Community Data Completion
Engage like-minded music fans in collaborative data curation, building familiarity with the Knokr platform while accumulating the relationship data necessary for advanced discovery features. User contributions undergo multi-layered admin review before database integration.
Experimental Platform
Provide an isolated environment for testing artist search algorithms, relationship building services, and feature development without impacting the main Knokr application. Orchestra functions as both working application and technology evaluation framework.
Business Intelligence Value
Band member relationship data enables Knokr to surface patterns and predict improvements across the live music industry logistics chain. By understanding who plays with whom, when, where, and how frequently, the platform delivers actionable business intelligence to industry decision makers—venue operators, promoters, booking agents, and artist management.
Core Features
Artist Discovery
- • Autocomplete Search: Debounced artist name queries returning up to 50 results
- • Random Artist: Discovery feature surfacing random artists from the database
- • Artist Profiles: Comprehensive pages displaying band members, related artists, festival appearances, and social links
Band Member Data
- • Current and Historical Members: Display of active and past band members with role information and active years
- • Member Contributions: Community submission of member details including name, role, tenure, images, and Wikipedia references
- • Automatic Linking: Members matched to existing artist profiles in the Knokr database
- • Social Integration: Artist profiles linked to Spotify, Instagram, Facebook, YouTube, TikTok, Apple Music, Bandcamp, SoundCloud, and official websites
Relationship Intelligence
- • Related Artists: Discovery based on shared band members, festival co-appearances, genre overlap, and geographic connections
- • Festival History: Display of upcoming and past festival appearances
- • Relationship Scoring: Backend logic for measuring artist connections through multiple relationship types
Curation and Security
- • Admin Review Process: Multi-layered review workflow for all submissions before database integration
- • Rate Limiting: 10 submissions per hour per IP address
- • Bot Prevention: Cloudflare Turnstile CAPTCHA and honeypot field implementation
- • Authentication: Optional Clerk sign-in for enhanced features
Relationship Tiers
Orchestra establishes three relationship tiers that enable sophisticated discovery algorithms and provide the data foundation for industry logistics prediction:
Primary
Direct artist-to-artist connections through band membership
Secondary
Artists connected through shared members
Tertiary
Extended network connections via festival co-appearances, genre, and geography
Target Users
Music Fans
Community members interested in documenting band lineups and artist relationships
Music Researchers
Individuals tracking band member changes and artist connections over time
Knokr Community
Early adopters providing feedback on platform features and data quality
Industry Professionals
Secondary audience benefiting from relationship intelligence and discovery features
Strategic Role
Orchestra serves as both community tool and research platform within the Knokr ecosystem, enabling:
- • Data Network Growth: Accumulation of relationship data for music scene discovery systems
- • Community Building: Engagement with users invested in music data curation
- • Feature Incubation: Safe environment for testing concepts before main platform integration
- • Business Intelligence Foundation: Collection of relationship data supporting industry logistics prediction
Technology Stack
- Next.js 16
- React 19
- TypeScript
- PostgreSQL
- Prisma
- Tailwind CSS
- HeroUI
- Framer Motion
- Zod
- Clerk
- Cloudflare Turnstile
- AWS CloudFront
- Railway