Starship starts the engine

murchinroom

a magic shop where art meets AI.

Typically, with CDFMLR serving as a recurring developer and the rest of the members being not fixed, murchinroom fuses creativity with technology to explore the intersection between humans and machines by producing open-source projects and apps that are fun in nature. The AI VTuber and emotion-aware music recommendation are two of our most popular projects, showcasing our philosophy and technological prowess.

In addition to our innovations, murchinroom also offers various professional software solutions, including high-performance computing, on-premises cloud computing, and machine learning services for businesses and individuals.

What is murchinroom?

murchinroom develops software in various domains, including machine learning applications, cloud computing infrastructure, and more.

We treat computers as friends rather than tools. So, we are particularly interested in exploring AI technologies, researching the intersection of art and machine learning, and building simple, elegant, and fun applications with these technologies. Built on top of proven open-source technologies, most of our work in these fields is open-source and free to the public.

Another focus of ours is to build secure and reliable cloud infrastructure. We develop solutions for ourselves and are willing to share them with customers.

Philosophy

Growing up with "The Art of Unix Programming" in hand, murchinroom focuses on exploring new AI and cloud technologies and aims to integrate them into daily life in a way that is simple, elegant, and, most importantly, fun.

Keep it simple, stupid

software engineering

murchinroom builds software with the UNIX philosophy and a focus on complexity management. We believe in the power of small, modular, and composable components, such as microservices.

Containerization and cloud native

deployment & operations

murchinroom embraces containerization technology and cloud-native principles. We build, deploy, and scale our applications using Docker, Kubernetes, and other cloud services.

On-premises machine learning

cost-effective innovation

murchinroom rejects the idea of centralized large-scale machine learning models. Instead, we focus on developing models that are tailored to specific needs, deployed on-premises, and cost-effective.




Technology

murchinroom builds software using a broad range of modern open-source technologies and tools.

We implement backend services with Go, Python, etc, and deploying them with Docker and Kubernetes. Our preferred databases are Redis and PostgreSQL, but we also utilize MongoDB and MySQL for legacy projects and specific use cases. For frontend development, we create web applications with Vue.js, Apple platform applications with Swift, and cross-platform applications with Flutter.




Let's build something together.

Join us to build the next big thing. From ideas to applications, making the code complete.