A

Box Office Prediction Report Subscription

3.85

Derivation Chain

Step 1 'The Tyrant' surpassing 7 million viewers, racing toward 10 million
→
Step 2 Demand for box office prediction
→
Step 3 Real-time box office prediction reports for investors and distributors

Problem

Small-to-mid-size film distributors (annual revenue $750K–3.75M / 10–50 billion KRW) and film investment fund managers spend 3–5 hours per title downloading raw data from the Korean Film Council (KOFIC) integrated ticketing system and processing it in Excel to determine whether a release will break even. The empirical formula for predicting final audience numbers from the first 3 days of ticket sales exists only in individual managers' heads, making knowledge transfer impossible.

Solution

Automatically collects KOFIC daily box office data and generates final audience count prediction ranges at day 3, 7, and 14 post-release based on a 10-year release pattern database. Provides scenario analysis incorporating genre, season, and simultaneous competing release variables, plus investment break-even alerts.

Target: Marketing directors at small-to-mid-size film distributors, film investment fund managers, film industry media journalists
Revenue Model: Report Subscription at $44/account/month (59,000 KRW, tracking up to 5 titles/month); additional titles at $9 Per Transaction (12,000 KRW). 15% discount for Annual Subscription.
Ecosystem Role: Supplier
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
3.0/5
U Urgency
4.0/5
M Market
4.0/5
R Realizability
4.0/5
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.
SaaS N=.15 U=.20 M=.15 R=.30 V=.20 Senior N=.25 U=.25 M=.05 R=.30 V=.15

Feasibility (68%)

Tech Complexity
29.3/40
Data Availability
18.8/25
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 (71/100)

Competition
10.0/20
Market Demand
19.4/20
Timing
14.0/20
Revenue Signals
10.5/15
Pick-Axe Fit
10.5/15
Solo Buildability
7.0/10
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

Backend [medium] AI/ML [medium] Frontend [low]
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