VibeSmith

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Inspiration

Music has always been a universal language for expressing emotions, but creating it has been limited to those with musical training or expensive equipment. We were inspired by the explosion of AI tools in creative spaces and saw an opportunity to democratize music creation. We wanted to build something that lets anyone—regardless of musical ability—turn their feelings and ideas into real, shareable songs. The rise of platforms like TikTok and Reels showed us that short-form, mood-driven content is what people crave, and we wanted to put that power in everyone's hands.

What it does

VibeSmith transforms your mood and creativity into fully original songs in seconds. Users can:

• Describe their vibe using text or voice (e.g., "dark phonk with chill jazz energy")
• Generate original lyrics written by AI based on themes, emotions, or stories
• Create custom melodies and beats across any genre or hybrid style
• Add unique AI vocals using ElevenLabs voices—no celebrity clones, completely original
• Mix genres creatively (phonk + jazz, lo-fi + rock, etc.)
• Create AI duets between different voice characters
• Generate optional video clips optimized for TikTok or Instagram Reels

Everything—music, lyrics, and vocals—is 100% AI-generated and copyright-safe, making it perfect for content creators, social media enthusiasts, and anyone who wants to express themselves through music.

How we built it

We leveraged cutting-edge AI and cloud infrastructure to make VibeSmith fast, scalable, and intelligent:

• Raindrop Smart Components: Used SmartMemory for user preference tracking, SmartInference for intelligent music generation decisions, and SmartSQL for efficient data management
• Vultr Cloud: Hosted our AI workloads with high-performance compute instances to handle real-time music generation
• ElevenLabs API: Integrated voice synthesis for original, expressive vocals across multiple voice profiles
• Raindrop MCP Server: Deployed our backend with secure API endpoints and workflow automation
• Custom AI Pipeline: Built a multi-stage generation system that processes mood inputs → lyric generation → melody composition → vocal synthesis → final mix
• Optional Stripe Integration: Set up payment infrastructure for premium features and subscriptions

Challenges we ran into

• Latency optimization: AI music generation can be slow. We had to architect smart caching and parallel processing to get generation times under 30 seconds
• Genre blending: Teaching the AI to meaningfully combine disparate genres (like phonk and jazz) required extensive prompt engineering and model fine-tuning
• Voice consistency: Ensuring AI vocals sounded natural and emotionally appropriate for different music styles took significant iteration with ElevenLabs parameters
• Copyright safety: Implementing safeguards to ensure all generated content is truly original and legally defensible
• User experience: Balancing creative control with simplicity—giving users enough options without overwhelming non-musicians

Accomplishments that we're proud of

• Successfully generated our first fully AI-composed song that genuinely sounded professional
• Achieved sub-30-second generation times for complete songs
• Created a genre-blending algorithm that produces surprisingly cohesive hybrid styles
• Built an intuitive interface that even non-technical users can navigate effortlessly
• Implemented a robust voice selection system with 10+ distinct AI character voices
• Deployed a scalable architecture that can handle concurrent users without performance degradation

What we learned

• AI orchestration is complex: Coordinating multiple AI models (language, music, voice) requires careful pipeline design
• User input matters: The quality of mood descriptions dramatically impacts output—we learned to guide users with examples and suggestions
• Performance trade-offs: Real-time generation requires compromises between quality and speed; we found the sweet spot
• Creative AI is unpredictable: Sometimes the AI produces surprising genre combinations that are actually brilliant
• Cloud infrastructure choices matter: Vultr's GPU instances gave us the performance we needed at a sustainable cost

What's next for VibeSmith

• Collaborative creation: Allow multiple users to co-create songs in real-time
• Extended song lengths: Move beyond 30-60 second clips to full 2-3 minute tracks
• Live performance mode: Generate background music that adapts to live streaming or gaming
• Voice cloning (opt-in): Let users create songs in their own voice (with explicit consent)
• Music library: Build a community where users can share, remix, and discover others' creations
• Advanced editing: Give users granular control over individual instruments, tempo, and arrangement
• Mobile app: Native iOS/Android apps for on-the-go music creation
• API access: Let developers integrate VibeSmith into their own applications

Built With

• elevenlabs-api
• elevenlabs-api-(voice-synthesis)
• ffmpeg
• frontend:-react
• node.js
• openai
• payments:
• pydub
• python
• raindrop-mcp-server
• raindrop-mcp-server-ai/ml:-openai-api-(gpt-4-for-lyrics)
• raindrop-smart-components-(smartmemory
• react
• smartinference
• smartsql)
• smartsql)-audio-processing:-ffmpeg
• stable-audio/musicgen-(music-generation)-infrastructure:-vultr-cloud-(gpu-compute)
• stripe
• tailwind-css-backend:-python
• vultr-cloud