unv3iled

Inspiration 🎯

Unv3iled started with a simple thought: What if your taste in music could reveal the books you'd love, the cities you should visit, the people you'd connect with before you ever said a word?

Something that doesn’t just ask what you like because it already knows.

What it does 💡

• 🎧 Connects to Spotify and uses your listen data to understand your taste in music
• 🧠 Uses Qloo to map your fingerprint across books, films, travel, fashion
• 💬 Chats to explain why you like what you like
• 🎙️ Voice-enabled -- talk to it, and it talks back
• 🧍‍♂️ Finds your “Taste Twin”-- someone with near-identical cultural patterns
• ✨ Serendipity button for random discoveries.
• 🎬 Media embeds-- Spotify, YouTube, books, movies, travel destination images etc

How we built it 🛠️

• 🔐 Supabase – Auth, DB, Edge Functions
• 🎵 Spotify API – Pulls top tracks, artists, playlists
• 🌍 Qloo Taste AI – Cross-domain taste analysis
• 🧠 Gemini 2.5 Flash – Explains recommendations, grounded with live search
• 🔊 ElevenLabs – Real-time voice input/output
• 🎨 Radix UI + Tailwind + Framer Motion – responsive UI

The magic 🧬

Every time you interact, your taste profile deepens. Unv3iled uses your chat history with each Qloo query to refine its understanding of you. The more you use it, the smarter and more accurate it becomes, unlocking better matches and deeper insights over time.

What’s next 🔮

• Unv3iled for Businesses — Discover what any demographic truly loves. Ask and get actionable insights, in natural language e.g "what is popular among gen z in berling?"

• Multi-platform integrations — Apple Music, Netflix, Letterboxd, YouTube Music, Goodreads etc

Built With

• elevenlabs
• groq
• qloo
• spotify
• supabase
• twitter
• typescript
• vercel
• youtube