Changelog

In this release, we focused on modernizing our tech stack and updating key dependencies to ensure Rthmn remains at the cutting edge of web development best practices. We made significant changes to our backend infrastructure, frontend frameworks, and data storage solutions.

Key updates include:

Switched to Bun and Elysia.js for our production server - We migrated our backend to the lightning-fast Bun runtime and adopted the Elysia.js framework for building high-performance, scalable APIs. This move allows us to leverage the latest advancements and deliver even faster response times to our users. Fun fact: Yes, we're building trading algorithms in TypeScript.
Upgraded to Next.js 14+ for our client app - To provide the best possible user experience, we upgraded our frontend to the latest version of Next.js. This update brings performance enhancements, improved developer experience, and access to the latest features and optimizations offered by the framework.
Embraced Supabase and moved off MongoDB - As part of our commitment to using the best tools for the job, we made the decision to migrate our database from MongoDB to Supabase. Supabase's PostgreSQL-based solution offers better scalability, more robust querying capabilities, and seamless integration with our existing tech stack. Also they have been releasing very cool realtime features we plan to use.
Implemented Tanstack Query for efficient data fetching - To optimize our data fetching layer, we adopted Tanstack Query (formerly known as React Query). This powerful library simplifies the management of asynchronous data, providing built-in caching, background updates, and error handling. The result is a more responsive and resilient application.
Progress on user authentication flow for paid access - In preparation for offering paid access to advanced Rthmn features, we began working on a secure and user-friendly authentication system. This will allow us to seamlessly onboard new users and provide a smooth experience for accessing premium functionality.

The initial idea for rthmn was originated in 2019. Since then, a ton of progress has been made towards systematizing it and applying it for more universal use cases.

Our first milestone was to build the core logic for translating market data and building a maintainable engine where we could understand the steps involved. This involved creating a custom rendering pipeline optimized for displaying complex financial data in an intuitive and interactive way.

We started by designing the data structures and algorithms needed to efficiently process large amounts of historical and real-time market data and always stay in sync. Throughout this process, we stumbled upon even more novel ideas that soon began to become stable methods we even rely upon today to plan features.

Scalability was another critical consideration. We knew that as rthmn grew in popularity, we would need to handle a rapidly increasing number of users and data points. To address this, we designed our backend infrastructure to be highly modular and horizontally scalable.

In addition to the database, Rthmn's architecture is designed for scalability across all components. The application is built using modern, efficient technologies and follows best practices for performance optimization. This includes techniques such as lazy loading, caching, and asynchronous processing to ensure a smooth user experience even under heavy load.

As the platform continues to grow, we're continuing to regularly monitor and optimizes the infrastructure to maintain optimal performance.

This is only just the beginning.