Executive Summary
The Core Problem
"What should we watch?" is a source of friction in households globally. Current incumbents focus on tracking or niche formats, leaving a gap for a comprehensive, cross-media, AI-driven discovery engine. MediaCircle leverages agentic AI to move beyond static lists to proactive, context-aware recommendations.
Agentic AI
Proactive & chat-based discovery based on mood, history, and social context.
Social Circles
Shared watchlists and trusted recommendations from friends & family.
Cross-Media
Unified discovery for TV, Movies, Podcasts, Books, and Theater.
Mission Statement
"To eliminate decision paralysis in entertainment by combining the intimacy of trusted social circles with the intelligence of agentic AI."
Target User Scenario
Husband & Wife, 30s-40s. Multiple subscriptions (Netflix, Max, Hulu). Struggle to recall friend recommendations. Need a "Lean Back" experience for cable/trending and a "Lean In" agent for specific mood-based discovery.
Total Addressable Market
The market analysis focuses on the intersection of the Global Streaming Market and the Recommendation Engine sector. While the global OTT market is over $200B, the serviceable market for a third-party discovery tool operates on a subscription/affiliate capture of that audience.
Market Size (Billions USD)
*Projected 2026 figures based on OTT & Digital Ad spend growth rates.
Competitive Landscape
Feature Ecosystem
MediaCircle differentiates through a tripartite structure: The Circle (Social), The Agent (AI), and The Platform (Utility).
Agentic Recommendation Engine
Core DifferentiatorUnlike static filters, the AI agent engages in natural language dialogue ("Find me something uplifting like Ted Lasso but a movie").
- ✓ Context-aware (Time, Mood, Company)
- ✓ Cross-references friend ratings
- ✓ Proactive suggestions ("New episode dropped")
Dynamic "Circles"
Viral LoopCollaborative, live-updating lists shared between specific groups (e.g., "Family Movie Night", "Horror with Steve").
- ✓ Real-time sync
- ✓ Swipe-to-vote mechanisms
- ✓ Activity feeds ("Dad just rated Dune 5 stars")
Cross-Media Player
RetentionDirect integration for podcasts and trailers. "Lean back" mode mimics cable TV with curated trending channels.
- ✓ In-app Podcast Player
- ✓ "Trending Now" Video Feed
- ✓ Local Theater Showtimes
Universal Watchlist
UtilityOne list to rule them all. Import from Netflix, Hulu, IMDb. Track what you've seen and where it is streaming.
- ✓ Auto-availability updates
- ✓ Price drop alerts (Rentals)
- ✓ Calendar sync for premieres
Financial Projections & Economics
The monetization strategy relies on a hybrid model: High-margin affiliate revenue from ticket/rental referrals, recurring subscription revenue for "Pro" AI features, and in-app native advertising for the free tier.
5-Year Revenue Projection
Note: AI Costs scale with users, but Affiliate revenue scales with activity.
Unit Economics (LTV vs CAC)
Freemium
Ad-supported basic discovery & standard lists.
$0/mo
Subscription
Unlimited AI Agent, Advanced Analytics, No Ads.
$4.99/mo
Affiliate
Commission on movie rentals, theater tickets, books.
5-10% Cut
Data/B2B
Aggregated trend reports for studios/marketers.
High Margin