TicketLounge
AI-Powered Ticket Resale Platform
Next-Generation Ticket Marketplace
About the App and the Company
TicketLounge is a modern ticket resale marketplace designed to simplify how users discover, buy, and sell event tickets. The platform provides a seamless web and mobile experience, allowing users to browse events, explore seating options, and securely purchase tickets.
A key feature of TicketLounge is its AI-powered concierge, which enables users to search for tickets using natural language. Instead of relying on traditional filters, users can simply describe what they are looking for and receive intelligent results powered by semantic search.
The platform also includes an admin portal for managing events, importing listings, configuring seat maps, and maintaining ticket inventory. With integrated Stripe payments and automated event synchronization, TicketLounge delivers a scalable and efficient marketplace for ticket resale.
The Ask
TicketLounge approached DivNotes to design and build a modern ticket resale marketplace capable of supporting both web and mobile users while delivering a fast, intuitive ticket discovery experience. The platform needed to allow users to easily browse events, explore seating options, and securely purchase tickets through a seamless digital interface.
One of the core goals was to introduce an AI-powered concierge that would allow users to search for tickets using natural language. Instead of relying on traditional filters and manual browsing, the platform needed to understand user intent and return relevant ticket listings quickly and accurately.
In addition to the consumer-facing applications, TicketLounge required a powerful administrative system for managing events, importing listings, configuring venue seat maps, and maintaining ticket inventory. The platform also needed to support secure payment processing through Stripe and handle real-time marketplace activity as new events and listings were added.
To meet these requirements, TicketLounge needed a scalable architecture capable of supporting cross-platform applications, complex event data, and intelligent search capabilities — all while ensuring performance, reliability, and a smooth user experience across devices.
The Approach
DivNotes focused on building a scalable marketplace platform capable of supporting web and mobile applications while delivering a fast and intuitive ticket discovery experience. The system architecture was designed to allow rapid product development while maintaining performance and scalability.
- To streamline development across platforms, we implemented a modern monorepo architecture that allowed the web application, mobile apps, and admin dashboard to share core components and business logic. This ensured a consistent user experience across devices while simplifying long-term maintenance.
Schema Conversion
- The platform was built using modern web and mobile frameworks, enabling users to browse events, explore seating options, and securely purchase tickets. On the backend, we implemented a scalable API layer supported by PostgreSQL and Supabase services, which provide authentication, database management, and serverless functions for background tasks and event synchronization.
AWS Database Migration Service (DMS) Implementation
- A key innovation of the platform is the AI-powered concierge search. Using semantic search with vector embeddings and intelligent query processing, users can describe the tickets they are looking for in natural language and instantly receive relevant results.
Data Validation
- To support marketplace operations, we also developed an admin portal for managing events, importing listings, configuring venue seat maps, and maintaining ticket inventory. Secure payments were integrated through Stripe, ensuring reliable and compliant transaction processing.
Production Deployment
- This architecture enables TicketLounge to support growing event listings, marketplace activity, and AI-driven discovery while maintaining a smooth and responsive user experience across web and mobile platforms.
Challenges & Solutions
Database nearing capacity with growing data volumes
Migrated to Amazon Aurora to provide elastic scaling and high-performance read/write throughput.
Legacy PostgreSQL engine required upgrade without interrupting production workloads
Designed a two-phase migration strategy (full copy → real-time sync) to enable a seamless cutover with zero downtime.
Schema differences between PostgreSQL and Aurora required precise conversion
Used AWS Schema Conversion Tool (SCT) to analyze, convert, and adapt schema objects for full compatibility.
Ensuring data integrity during and after migration
Implemented replication with AWS Database Migration Service (DMS), followed by manual and automated data validation checks.
Maintaining service availability during switchover
Executed final cutover after full sync and validation, ensuring no disruptions to live services.
The Results & Impact
The launch of TicketLounge delivered a modern, scalable ticket resale marketplace capable of supporting both web and mobile users while providing a faster and more intuitive ticket discovery experience.
Key outcomes included:
A fully integrated web and mobile platform, allowing users to discover and purchase tickets seamlessly across devices.
AI-powered concierge search, enabling users to find tickets using natural language rather than complex filters.
A scalable marketplace architecture capable of managing large numbers of events, listings, and transactions.
Secure and reliable payment processing through Stripe, ensuring safe and efficient ticket purchases.
A comprehensive admin portal for managing events, importing listings, configuring venue seat maps, and monitoring marketplace activity.
Automated event synchronization and streamlined event management workflows, reducing manual operational overhead.
Technology Stack
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