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Web novel and webtoon creators (solo creators) who receive OTT drama adaptation offers cannot identify toxic clauses in 30-50 page IP license agreements (e.g., exclusive derivative work rights, unlimited overseas rights transfer), resulting in long-term revenue losses of tens of thousands to hundreds of thousands of dollars. Individual consultations with entertainment lawyers cost $750-$2,250 (~1-3 million KRW) per contract.
Upload an IP license agreement PDF to automatically highlight toxic clauses, score deviation levels against industry standards, and generate suggested revisions. Features: (1) Automatic classification of 8 major toxic clause types, (2) Comparison table against industry-standard terms, (3) Auto-generated creator-favorable revision suggestions.
| N Novelty | 1-5 | How uncommon the service is in market context. |
| U Urgency | 1-5 | How urgently users need this problem solved now. |
| M Market | 1-5 | Market size and growth potential from proxy indicators. |
| R Realizability | 1-5 | Buildability for a small team with realistic constraints. |
| V Validation | 1-5 | Validation signal quality from competition and demand data. |
| Tech Complexity | / 40 | Difficulty of core implementation stack. |
| Data Availability | / 25 | Practical availability and cost of required data. |
| MVP Timeline | / 20 | Expected time to ship a usable MVP. |
| API Bonus | / 15 | Bonus for viable public API leverage. |
| Competition | / 20 | Signal quality from competitor landscape. |
| Market Demand | / 20 | Demand proxies from search and mention patterns. |
| Timing | / 20 | Fit with current shifts in tech, behavior, and regulation. |
| Revenue Signals | / 15 | Reference evidence for monetization viability. |
| Pick-Axe Fit | / 15 | How well the concept serves participants in a trend. |
| Solo Buildability | / 10 | Practicality for lean-team implementation. |