tomfrew

Yeah, the schema driven approach does really lend it to the world of LLMs. We've found that with minimal guidance LLMs can generate schemas, validate them and iterate if necessary.

What's great about this is that once you've got a valid schema you can then guarantee the correctness of the code downstream as well as it being very testable. This text-based abstraction makes it possible to generate a complete production-ready backend with AI rather than trying to get a LLM to write complete applications from scratch.

Thanks! I've had it running in the background for a few days and it's REALLY motivating to hear peaks in app useage.

Interesting... I'll have to play around with way to manipulate the sounds based on the data. Thanks for the feedback!

Thanks!

I really like the idea of connecting the sounds to the data. Need to get playing with the web audio api!!

Thanks! Glad you like it.

Yeah been thinking about a paid tier with more customisability. Do you think it's something you would pay (a small monthly amount) for?

A weekend project I created to monitor activity of an app we just launched. Chirpy generates audio melody from your realtime analytics data. You an quite literally listen to your users!

Chirpy is still in the early stages (especially the tracking modules) but really interested to see what you guys think!