Development

Napster: Web Backend Development and R&D for a Music Streaming Pioneer

We contributed to Napster's web backend platform and conducted research and development for a new product initiative, supporting one of the most recognizable names in digital music.

Ruby On RailsPostgreSQLRedis
Napster: Web Backend Development and R&D for a Music Streaming Pioneer

Working with an iconic brand

Napster needs no introduction. From its origins as the platform that changed how the world thinks about digital music, to its evolution as a licensed streaming service, the brand carries decades of cultural weight. When the opportunity came to contribute to their engineering efforts, we were glad to be involved.

What we built

Our engagement with Napster covered two main areas. First, we worked on the web-facing backend — the systems that power pages and experiences millions of music fans interact with daily. This meant working within a large, established codebase alongside their in-house team, ensuring reliability at scale.

Second, we participated in early-stage research and development for a new product initiative. This involved prototyping, evaluating technical approaches, and helping the team assess feasibility for features that hadn't shipped yet. The R&D work was exploratory by nature — testing ideas quickly, discarding what didn't work, and refining what showed promise.

Collaborating at scale

Working with a team at Napster's scale required discipline around communication, code quality, and coordination. We integrated into their existing workflows, contributed to their codebase standards, and delivered work that met the expectations of a platform serving a global audience.

The engagement reinforced something we've always believed: the best way to earn trust with a large engineering organization is to ship reliable code and communicate clearly.

Up Next

Next project

Development

TwoMargins: Crowdsourcing Financial Document Analysis for Wall Street

We built TwoMargins — a financial document annotation platform featured in the Wall Street Journal — handling complex SEC document parsing with Nokogiri and supporting real-time collaborative analysis. Bloomberg used the platform to publish their annotated edition of Warren Buffett's 2015 shareholder letter.

See project
TwoMargins: Crowdsourcing Financial Document Analysis for Wall Street