#6 – Rasmus Andersson: Playbit, Software Quality, Data Models Tradeoffs

This podcast episode explores the concept of localfirst, which focuses on the importance of being able to work offline and reconciling changes when returning online. The commonality of a specific data model, consisting of an ordered map of data, is discussed, with examples including Spotify playlists. The tension between using existing solutions and building from scratch when it comes to data models is examined, emphasizing the need for thoughtful decision-making. The limitations of the web platform and the potential for a better future are also addressed, along with the challenges and possibilities of GUI development. The importance of performance optimization and the decline in software quality over time are discussed, and the concept of Playbit is introduced as an operating system that prioritizes joy and simplicity. Playbit's local-first approach, its archivist mindset, and the ability to build and run web apps are highlighted. The section concludes by discussing the future potential and impact of Playbit.