Why we’re starting a blog
A lot of the most interesting work behind Podscribe isn’t visible from the outside. Building measurement products across audio, streaming, and video means dealing with complex data flows, attribution logic, performance constraints, automation, and plenty of edge cases. We want this blog to give a closer look at how our engineers approach those problems in practice.
What you’ll find here
We’ll focus on real engineering cases: what the challenge was, what made it difficult, the options we considered, the solution we chose, and what we learned from it. You’ll see different engineers contributing across the blog, reflecting the range of systems and problem areas we work on at Podscribe. Whenever possible, the people who built or changed those systems will tell the story directly.
We’re aiming to publish roughly once a month, starting with stories around our AI Chat and Transcription features. Welcome to Podscribe Engineering - more soon.