We are an AI-powered platform for businesses and artists in the music industry, consolidating and organizing data from various sources into a single interface. We provide easily accessible info, actionable insights, and vetted connections for users.
AI-Powered Networking Platform (The LinkedIn for Musicians)
We are an AI-powered platform for businesses and artists in the music industry, consolidating and organizing data from various sources into a single interface. We provide easily accessible info, actionable insights, and vetted connections for users.
After 10+ years in the music industry, I decided it was time to make a real change. The industry remains too informal, fragmented, and inefficient. We've identified two key insights: While most companies focus on helping artists generate more views or streams, the real issue isn’t just access to capital—it's access to opportunity. Artists often don’t know how to spend the limited money they have. We're building a solution to help them make smarter, more efficient decisions. Having owned two smal
I understand that The Papaya will provide two functional points: 1. Musicians share daily, such as sending some small demos 2. A trading platform for musicians and businesses So my question is, how are you going to make sure that the intellectual property rights of musicians are not being compromised? For example, demo theft
Always loved and supported musicians! @gian_berselli @rafael_de_arruda_amado let's go!
Hey, Ya'll! Thank you SO SO much for the support. It means the world to us. We want to build this closely with the people who believe in our mission, so all feedback and questions are welcome! Keep sharing the platform with your musical peers, and let them know that we are super open to hearing their needs.
love the idea! is it based on geolocation? good luck with the launch!
A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.
Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.
Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.
The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.