Entertainment & Music United States

SHOWX

Live Music Industry Platform

SHOWX tour routing dashboard showing optimized tour route on a map
01 Overview

About the Project

SHOWX is a groundbreaking platform for the live music industry that connects touring musicians directly with venues, streamlining the booking process and giving artists control over their ticketing and fan data. With an ML-powered tour routing system, integrated ticketing, and a network of over 300 venues and 1,000 touring musicians, SHOWX is reshaping how independent artists plan tours, sell tickets, and build direct relationships with their audiences.

Industry Entertainment & Music
Location United States
Team 2 Full-Stack Engineers, 1 Mobile Engineer, 1 ML Engineer, 1 Designer
Website showx.com

The Challenge

The live music industry has long been controlled by intermediaries who retain fan data and take significant cuts from ticket sales. Independent touring musicians had no viable way to own the first-party data of fans buying their tickets, plan efficient tour routes, or connect directly with suitable venues. The existing platform had accumulated significant technical debt — query performance had degraded as the user base grew, the codebase made feature development slow, and bug reports were climbing. The team needed to rebuild core systems while keeping the platform running for active users.

02 Solution

Our Approach

We executed a strategic rebuild of SHOWX's core systems, starting with the database layer where we redesigned queries and indexing strategies to achieve 10x performance improvements. The backend was refactored from a monolithic architecture to modular services, dramatically reducing cycle time for new features. We implemented an ML-powered tour routing algorithm that analyzes venue availability, geographic clustering, artist genre matching, and historical performance data to suggest optimal tour routes. The ticketing system was rebuilt to ensure artists retain first-party fan data with every transaction. A comprehensive testing strategy cut bug reports in half.

04 Technology

Tech Stack

The technologies and tools that powered this project.

Flutter
Go
Google Cloud Run
Firebase
PostgreSQL
Machine Learning
Stripe
05 Results
10x Query Performance
3x Faster Dev Cycles
50% Fewer Bug Reports

Project Timeline

Audit & Strategy

2 weeks

Codebase audit, performance profiling, database query analysis, and architectural roadmap for incremental migration.

Database & Backend Rebuild

8 weeks

Query optimization, indexing strategy overhaul, backend modularization, and API redesign with backward compatibility.

Feature Development

6 weeks

ML tour routing engine, ticketing system rebuild with fan data ownership, venue matching algorithm, and mobile app improvements.

Testing & Stabilization

3 weeks

Comprehensive test suite implementation, performance regression testing, gradual rollout, and monitoring setup.

Team Composition

2 Full-Stack Engineers, 1 Mobile Engineer, 1 ML Engineer, 1 Designer

Let's build something great together

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