Indie Music Social Network Development

Заказчик: AI | Опубликовано: 24.01.2026

Problem Overview Independent music creators face major challenges on existing platforms: Their music gets buried under popularity-driven algorithms They receive little to no constructive feedback Discovery is based on follower count, not musical quality or emotion There is no dedicated space focused only on music without video, reels, or unrelated content Current platforms prioritize consumption over artist growth, leaving emerging musicians without insights, collaboration opportunities, or meaningful engagement. Proposed Solution We aim to build a music-only social networking platform where users can upload, listen to, and share original music, supported by AI-driven analysis and discovery. The platform will focus on: Music discovery by emotion, mood, and genre AI-generated feedback to help artists improve Community engagement through audio-based interactions A clean, distraction-free experience dedicated purely to music Core Features Required User Authentication Artist and listener accounts Secure login and profiles Music Upload & Streaming Upload original audio tracks In-app audio player with waveform visualization AI-Powered Music Analysis Automatic genre and mood classification Tempo and energy detection Basic AI-generated feedback for artists (e.g., clarity, structure, engagement potential) Emotion-Based Music Feed Discover music by mood (e.g., chill, sad, energetic) Feed not based on popularity or followers Engagement Features Likes and reposts Timestamped comments on audio tracks Creator Collaboration (Basic MVP) Artist recommendations based on similarity in music style Copyright-Safe Design Upload confirmation for original content Platform intended only for original/independent music creators