B

Netflix Original IP Analyzer

3.20

Derivation Chain

Step 1 Global hits from K-OTT content
→
Step 2 Expansion of OTT content IP licensing market
→
Step 3 IP valuation and licensing opportunity matching tool

Competitor references

No usable source links are available for this idea. Its signal notes and scores need independent verification.

Problem

As Netflix K-dramas like 'Lady Dua' (starring Shin Hye-sun) become global hits, demand for secondary licensing (merchandise, games, performances) of original web novel and webtoon IP is surging. However, small IP holders (web novel platforms, independent authors) lack the capability to identify which secondary markets their IP has value in or whom to approach. Outsourcing an IP valuation Report costs $2,250–$7,500 per engagement.

Solution

(1) Automatically scores each IP's secondary market potential based on OTT viewership data, social media buzz, and search trends, (2) matches licensing opportunities by category (merchandise, games, performances, overseas rights), (3) provides accessible buyer lists and proposal templates.

Target: Small content companies or independent author agencies holding web novel/webtoon IP (1–10 employees, $750K–$7.5M annual revenue)
Revenue Model: SaaS Monthly Subscription $74.25/account/month (includes 10 IP analyses), additional IP $3.75/month each. 2% success fee on licensing deal value upon completion
Ecosystem Role: Consumer
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
4.0/5
U Urgency
3.0/5
M Market
4.0/5
R Realizability
2.0/5
V Validation
4.0/5
NUMR-V Scoring System
N Novelty1-5How uncommon the service is in market context.
U Urgency1-5How urgently users need this problem solved now.
M Market1-5Market size and growth potential from proxy indicators.
R Realizability1-5Buildability for a small team with realistic constraints.
V Validation1-5Validation signal quality from competition and demand data.
Each dimension is scored 1-5 and weighted into grade S/A/B/C/D.
N=.15 U=.20 M=.15 R=.30 V=.20

Feasibility (72%)

Tech Complexity
29.3/40
Data Availability
23.1/25
MVP Timeline
20.0/20
API Bonus
0.0/15
Feasibility Breakdown
Tech Complexity/ 40Difficulty of core implementation stack.
Data Availability/ 25Practical availability and cost of required data.
MVP Timeline/ 20Expected time to ship a usable MVP.
API Bonus/ 15Bonus for viable public API leverage.
Total 100 points; below 50% is filtered out.

Market Validation (60/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
20.0/20
Revenue Signals
10.5/15
Pick-Axe Fit
10.5/15
Solo Buildability
5.0/10
Validation Breakdown
Competition/ 20Signal quality from competitor landscape.
Market Demand/ 20Demand proxies from search and mention patterns.
Timing/ 20Fit with current shifts in tech, behavior, and regulation.
Revenue Signals/ 15Reference evidence for monetization viability.
Pick-Axe Fit/ 15How well the concept serves participants in a trend.
Solo Buildability/ 10Practicality for lean-team implementation.
Total 100 points; below 50 is filtered out.

Technical Requirements

Data Pipeline [medium] Backend [medium] Frontend [low]
Dashboard