NeuralSound
AI music source separation: remove vocals, instrumentals or background music from any track.
What is NeuralSound?
NeuralSound is an AI music source separation platform. You give it a song or a recording, and it separates the audio into parts so you can keep the one you need.
The vocal remover takes the vocals out of a song and leaves the music, which is handy for karaoke and practice:\
The instrumental remover does the opposite and leaves the vocals on their own:\
The background music remover takes the music out from behind a recording:\
The vocal isolator focuses on pulling a clean voice out of the mix:\
Music separation splits a track into stems so you can work with each part separately:\
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FounderPlaybooks.
What other founders did to grow.
2722 dispatches from hundreds of founders, pulled from the week's best podcasts.
there's this concept in eastern philosophy that's called woo way which is effortless action... yoga if you go into standing bow and you're like I am going to nail this standing bow you're going to break... pose breaks you writing right you're like I'm going to outwork writer block... sex right you're like I'm going to be the best performer in the bedroom yeah that good luck with that one
Use wu wei — some pursuits get worse the harder you push
Yoga poses, writer's block, presence in sex, creative breakthroughs, getting people to like you — these all degrade under force. The Western reflex says "work harder." Wu wei (effortless action) says relax into the activity and let it arrive. Identify which parts of your business respond to grind (sales calls, shipping iterations) and which don't (taste, voice, deep insight). Apply force only where force works.
There's kind of three main buckets of why people might turn from a consumer subscription: they hit a natural breaking point with your use case, something happened with their payment method, or they didn't see the value. Not all churn is literally bad — some of it is natural.
Not all churn is bad — three buckets (natural, billing, value-gap)
Caroline splits churned subscribers into three audiences — natural lifecycle exit (e.g. students graduating), involuntary/billing, and value-gap — because each needs a different lifecycle treatment. Treating all churn as failure leads to wrong win-back messaging; sizing each bucket changes where you spend effort.
There's a play for whatever you're stuck on.
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