We're solving the 18-minute problem
Every night, millions of people waste precious time scrolling endlessly through streaming apps. We believe there's a better way to discover what to watch.
The Problem We're Solving
Research shows the average person spends 18 minutes per viewing session just deciding what to watch. That's 6+ hours per month of wasted time.
Current solutions fail because they treat everyone the same. Generic "trending" lists and basic collaborative filtering miss the nuance of personal taste, mood, and viewing context.
We saw an opportunity to build something fundamentally different - an AI that actually understands you and delivers recommendations that feel curated by a friend with amazing taste.
Our Approach
Four key innovations that make Seen's recommendations feel like magic
Context-Aware AI
Our ML models consider time of day, mood, viewing history, and even what device you're using to deliver perfectly timed recommendations.
Instant Decisions
Smart pre-filtering reduces thousands of options to just 3-5 perfect matches, cutting decision time from 18 minutes to under 2.
Social Discovery
FOMO-driven features show what friends are watching without spoilers, creating organic discovery through social proof.
Cross-Platform Intelligence
Works across all streaming services with deep links, availability tracking, and smart resumption features.
Meet the Team
Experienced builders from Netflix, Spotify, and Hulu
Alex Johnson
CEO & Co-founder
Former Netflix PM who experienced the content discovery problem firsthand. 8 years in streaming tech.
Sarah Chen
CTO & Co-founder
Ex-Spotify ML engineer. Built recommendation systems for 100M+ users. Stanford CS PhD.
Mike Rodriguez
Head of Product
Former Hulu UX lead. Designed interfaces for 45M+ subscribers. Obsessed with user experience.
Our Journey
From problem discovery to changing how the world discovers content
Beta Launch
Launching with 10,000+ waitlist members. Focus on streaming enthusiasts.
Scale & Partnerships
Platform integrations and partnership deals with streaming services.
AI Enhancement
Advanced mood detection and social features. Expanding recommendation accuracy.
Global Expansion
International markets and multi-language support. 1M+ active users target.