B
OTT Original IP Fandom Thermometer
2.70
Derivation Chain
Step 1
K-OTT content hits (e.g., The Man Living with the King, Weak Hero)
→
Step 2
OTT content planning and investment decision-making
→
Step 3
Real-time source IP fandom size and temperature tracking dashboard
Problem
Small OTT content production companies (5 or fewer staff) rely on gut feeling when selecting source material (web novels/webtoons) for drama adaptation because they cannot quantitatively assess fandom size and engagement. With fan communities scattered across platforms (Naver Series, KakaoPage, Ridi, DC Inside, Twitter/X), manual research takes 8-16 hours per title.
Solution
Enter a source title to automatically collect multi-Platform fandom data and calculate a Fandom Temperature Index (size × activity × growth rate). Features: (1) Automated aggregation of comments, reviews, and fan works across platforms, (2) Fandom growth trend graphs, (3) Benchmarking against comparable hit titles.
NUMR-V Scores
NUMR-V Scoring System
| 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. |
SaaS N=.15 U=.20 M=.15 R=.30 V=.20
Senior N=.25 U=.25 M=.05 R=.30 V=.15
Feasibility (71%)
Data Availability
21.2/25
Feasibility Breakdown
| 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. |
Market Validation (53/100)
Validation Breakdown
| 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. |
Technical Requirements
Data Pipeline [medium]
Backend [medium]
Frontend [low]