No usable source links are available for this idea. Its signal notes and scores need independent verification.
Casting directors at small-to-mid-sized K-drama production companies ($375K-$2.25M annual revenue) manually collect each actor's schedule, market rate, recent project reputation, and social media reception across portals, news sites, and online communities. Casting research averages 2-3 weeks and $1,500-$3,000 in labor costs per project.
An automated casting decision dashboard that aggregates actor profiles, filmographies, real-time social media reactions, and news sentiment. Key features: (1) Auto-calculated buzz index and recent project performance per actor, (2) Schedule conflict simulation, (3) Market rate range estimation based on comparable profiles.
| 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. |