Atlas Project

Yikun Peng


Atlas is a personal project I developed initially to secure limited sneaker drops. What started as a practical solution to beat checkout queues evolved into a deep exploration of product design, web development, and systems architecture—ultimately growing into a full-featured shopping automation platform.

Since 2018, Atlas has consistently helped users secure hard-to-buy items—from GPU drops and gaming console restocks to limited streetwear releases. The platform combines speed optimization, intelligent task management, and anti-bot countermeasures to achieve purchase success rates that match or exceed commercial solutions previously priced at $3,000+.

Product Suite

  • Atlas Dashboard: Web portal and Discord bot for authentication and license management

  • Atlas AIO: Desktop application for multi-site shopping automation

  • Atlas CLI: Command-line interface with optimized performance for power users

  • Blaze: Browser extension for automation and intelligent form autofill

  • Parcel Tracker: Shipment tracking web application

  • Captcha Manager: Intelligent captcha distribution across third-party solvers

Platform Architecture

Technical Highlights

Atlas achieves checkout completion in under 2 seconds on supported sites—from cart to payment confirmation. Core capabilities include intelligent proxy rotation, session persistence and cookie sharing, real-time inventory monitoring, captcha solving integration, and Akamai fingerprint generation.

This project was independently developed as a learning initiative, providing deep practical experience across full-stack development, reverse engineering, and distributed systems design.

Platform Architecture

User experience

Atlas prioritizes usability through intelligent task grouping, intuitive monitoring dashboards, and streamlined workflows—minimizing cognitive load while managing hundreds of concurrent tasks.