PROJECT CASE STUDY

Ghost SNKRS

Cross platform software leading the industry of sneaker reselling. Over 5,000 customers and achieved ARR of $2.5mm.

Ghost SNKRS

Project Details

Role

Founder & Lead Developer

Timeline

2018 - 2021

Technologies

Electron React Node.js MongoDB AWS

Key Achievements

  • 5,000+ paying customers
  • $2.5M Annual Recurring Revenue
  • Cross-platform implementation
  • Industry-leading success rates

Overview

Ghost SNKRS was a premier sneaker automation software designed to help sneaker enthusiasts and resellers secure limited-edition releases from Nike's SNKRS app and website. In a market where high-demand shoes sell out in seconds, Ghost SNKRS provided users with advanced tools to automate the purchasing process, giving them a competitive edge.

As the founder and lead developer, I built Ghost SNKRS from the ground up, transforming it from a simple automation script to a comprehensive, cross-platform solution used by thousands of customers worldwide. The software achieved remarkable success, growing to over 5,000 paying customers and generating $2.5 million in annual recurring revenue.

The Challenge

Nike's SNKRS platform is designed with sophisticated anti-bot measures that are regularly updated. Building a reliable automation tool required constant adaptation to overcome these challenges:

  • Rapidly changing security protocols
  • Complex CAPTCHA implementations
  • IP detection and blocking mechanisms
  • Account verification challenges
  • Need for cross-platform compatibility

Additionally, the software needed to be user-friendly enough for non-technical users while providing advanced features for power users.

The Solution

Ghost SNKRS was built using Electron, allowing for a single codebase to run natively on Windows, macOS, and Linux. The application was designed with a React frontend for a responsive user interface and Node.js for backend functionality.

Key Features

  • Multi-account management
  • Advanced product monitoring
  • Automated checkout processes
  • Proxy integration and rotation
  • CAPTCHA solving assistance
  • Custom notification system

Technical Innovation

  • Real-time request interception
  • Browser fingerprint randomization
  • Machine learning for pattern detection
  • Distributed network architecture
  • End-to-end encryption

The software utilized a microservices architecture, with separate services handling authentication, product monitoring, checkout automation, and analytics. This allowed for rapid iteration and updates without disrupting the entire system.

Outcome & Impact

Ghost SNKRS quickly became the industry standard for Nike SNKRS automation, boasting some impressive metrics:

5,000+
Active Users
$2.5M
Annual Revenue
80%+
Success Rate
3
Platforms

The project not only achieved significant commercial success but also established me as a leader in the sneaker automation space. The experience gained in developing Ghost SNKRS provided invaluable insights into building scalable, resilient software that could adapt to constantly changing environments.

Lessons Learned

Building and scaling Ghost SNKRS taught me several important lessons:

  • The importance of adaptability in software development, especially when facing adversarial systems
  • How to balance user experience with technical complexity
  • The value of a strong customer support system for retention
  • Techniques for rapid iteration and deployment without disrupting users
  • How to scale infrastructure to meet sudden demand spikes

Perhaps most importantly, this project demonstrated how technical innovation paired with deep understanding of a niche market can create substantial business opportunities.

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