CinemaMatch Studio
MediaFilm / Talent MatchingGrowth
CinemaMatch Studio
Intelligent talent discovery & matching for the film industry with heterogeneous graph + AI
A film-industry talent matching platform built on a heterogeneous graph (16 node types) with 10 complete modules — talent discovery, network graph, project matching, success prediction, market analysis, investor analysis, and an LLM consultant.
Heterogeneous graph (16 node types)10 complete modules4 detail dialog types3 PDF exports + 3 share typesCrawler panel + activity dashboardLLM consultant with data context
cinema-match.app.demo
Vision
"Film casting & crew assembly is relationship-based and slow. CinemaMatch Studio turns it into a graph-AI problem — matching talent, projects, and investors with predicted success."
Development progress90%
StageGrowth
Est. to MVPProduction-ready now
Suggested pricing$299–$2,999 / studio / month
The problem
Why this matters
Relationship-based casting
Casting relies on personal networks, not data.
- Slow assembly
- Missed talent
- No fit scoring
No success prediction
Producers greenlight without outcome models.
- High risk
- Subjective bets
- No benchmark
Fragmented industry data
Talent, films, companies, investors scattered.
- No unified graph
- Manual research
- Blind matching
The solution
How it works
Heterogeneous graph
16 node types (talent, film, company, investor, etc.) in one model.
4-factor matching
Algorithm scores talent-project fit on 4 dimensions.
Success prediction
cine-v1 model predicts project success probability.
LLM consultant
Chat with AI that has full graph context.
Capabilities
Key features
The core capabilities that make this product distinctive.
Talent Discovery
43 talents, searchable
Network Graph
Force-directed interactive
Project Matching
4-factor algorithm
Success Prediction
cine-v1 model
Talent Compare
Radar + winners
Market Analysis
Scatter, heatmap, treemap
Investor Analysis
Risk profiles + budgets
LLM Consultant
Chat with graph context
Under the hood
Architecture
Heterogeneous graph + 10 modules + LLM consultant
1
FrontendNext.js + Tailwind
10-module studio UI
2
Graph Model16 node types, 43 talents
Industry knowledge graph
3
Matching4-factor algorithm
Talent-project fit scoring
4
Predictioncine-v1 model
Success probability
5
AILLM with graph context
Consultant chat
Built with
Tech stack
Frontend
Next.jsTailwindRechartsForce-directed graph
Data
Heterogeneous graph16 node types
AI
cine-v1 prediction modelLLM consultant
Exports
PDF export (3 types)Share links (3 types)
The path
Roadmap
Where each product stands and where it's going.
Phase 1–9Done
Core platform
- 10 modules
- Heterogeneous graph
- 4-factor matching
- cine-v1 prediction
- LLM consultant
- Crawler panel
- Activity dashboard
Phase 10Done
Sharing
- Prediction share
- Matching share
- Dynamic share pages
Phase 11Planned
Scale
- Multi-region
- Real-time crawler
- Investor marketplace
For partners
Investment & partnership
An honest look at what's done, what's missing, and what I'm looking for.
What's done
- 10 complete modules
- 16-node heterogeneous graph
- 4-factor matching
- cine-v1 success prediction
- Talent compare (radar)
- Market analysis (scatter/heatmap/treemap)
- Investor analysis
- LLM consultant
- Command palette
- Notification center
- Crawler panel
- Activity dashboard
- 3 PDF exports
- 3 share types
What's missing
- Real-time multi-region crawler
- Investor marketplace
- Mobile app
- Multi-language localization
- Payment integration
Looking for
Strategic InvestorCo-Founder
Needs
- Film industry data partnerships
- Investor network
- Funding for graph infra
- Multi-language localization
Market potential
Film production software ~$3B
Competitive advantages
- Heterogeneous graph (unique)
- Success prediction
- 10-module completeness
Target audience
- Film producers
- Casting directors
- Production companies
- Film investors
Business model
- Studio SaaS — Per-seat studio platform
- Match fees — % on matched productions
- Investor intel — Investor analysis subscriptions
Investor Intelligence
Valuation & Documentation
Estimated Valuation
AI-powered$5.5M$4.5M - $6.5M
Berkus + Scorecard + Risk Factor SummationUpdated 8/1/2026Confidence: 55%
Valuation Factors
Market Size (TAM)
520%
Team & Execution
415%
Product Completion
815%
Competitive Moat
715%
Revenue Potential
615%
Scalability
610%
Timing & Market Readiness
710%
⚠️ This is an AI-generated estimate for reference only. Actual valuation depends on due diligence, market conditions, and negotiation.
READMEproject documentation
Sensitive data (tokens, API keys, passwords) has been redacted
Watch the CinemaMatch Studio promo
A 30-second overview of the product vision and value proposition
Try the CinemaMatch Studio demo
An interactive mock demo with realistic data, dashboards, and an AI assistant. No real backend — just the experience of using the product.
Mock data only · No source code exposed · Safe to explore
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