As a music producer, I was tired of the guessing game. I'd spend hours tweaking a mix, upload it to Spotify, and wonder: "Is this loud enough? Will this connect with listeners? What platforms should I promote this on?" The tools out there were either expensive mastering services that took days, or basic analyzers that just gave me numbers without context. I wanted something that could instantly tell me not just what my track sounds like technically, but how it would perform in the real world. When I discovered Google's Gemini AI could analyze audio with incredible depth, I realized I could build the tool I always wished existed. What problem were you trying to solve? The core problem: Independent artists and producers lack access to the professional-grade analysis and market intelligence that major labels have. Specifically: Technical blind spots: You can't hear phase issues or know your LUFS value without proper tools Audience uncertainty: No way to know if your track will resonate on TikTok vs. Spotify without releasing it first Expensive feedback loops: Hiring a mastering engineer or A&R consultant costs hundreds per track Slow iteration: Traditional analysis tools require multiple apps and manual interpretation I wanted to democratize professional audio analysis - give bedroom producers the same insights that major label artists get from their teams of engineers and A&R reps.