I mainly wanted to hop on here and congratulate everybody for the great music that has come out today! it makes me so happy to see—knowing you all (at least through the community) is just sooo fun :) great stuff from @Hvetter Hvetter, @Nathaniel Graham, @Simon Burkhardt, @Martin Eibisch, and a special shout out to @Rebecca Mardal & @Jacopo Ramonda—a little community collab no? 🥲🫶🏼🦦 and please tell me if there are more releases that I haven't noticed yet. the guitarwave playlist is happy about every new song :)

AI gets a lot of (justified) criticism in the music world right now, and watching what Suno and others are doing, I share those concerns. But I wanted to highlight a use case that's been genuinely helpful for me: data analytics. Over the course of one afternoon, I used Claude Code to build a set of dashboards with a tool called Streamlit, running locally on my machine and updated regularly with fresh data. No more wrestling with CSV exports (anyone who's dealt with DistroKid's royalty reports knows the pain 😅), just clean, visual overviews of everything that matters. And it goes beyond display. One question I'd always wondered about: how many songs should I actually put into Discovery Mode? Claude helped me work through that properly, with the data to back it up (see second screenshot). AI isn't replacing the music. But for the business side of things, the admin, the analysis, the stuff we'd rather not spend our creative energy on, it can be a serious time-saver. Happy to share more if anyone's curious. 🎸