B

Performance Producer Revenue Forecaster

3.50

Derivation Chain

Step 1 Expansion of performance venue infrastructure
→
Step 2 Increase in performance production companies
→
Step 3 Pre-production profitability forecasting service for producers

Problem

With new venues like Link the Space opening in Daehak-ro (Seoul's theater district), small production companies (1–5 people) are planning shows but spend 2–3 days manually building break-even analyses in spreadsheets, factoring in seat count, venue rental, talent fees, and marketing costs. Inexperienced new producers who lack knowledge of market rates for venue rental and talent fees frequently plan money-losing productions, incurring losses of ₩5–20 million (~$3,750–$15,000) per show.

Solution

A SaaS that auto-simulates projected revenue when users input venue, genre, and cast size. Core features: (1) Venue database with rental rates, seat counts, and auxiliary facilities, (2) Benchmarks for talent fees and marketing costs by genre × scale, (3) Scenario simulation by ticket price and sell-through rate.

Target: Small production companies (1–5 people) based in Daehak-ro and Hongdae, independent producers, theater and musical production company founders aged 30–40
Revenue Model: SaaS monthly flat rate ₩39,000/account (~$29/mo) with unlimited simulations, Premium Plan with benchmark data ₩79,000/mo (~$59/mo)
Ecosystem Role: Supplier
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
3.0/5
U Urgency
4.0/5
M Market
3.0/5
R Realizability
4.0/5
V Validation
3.0/5
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 (70%)

Tech Complexity
29.3/40
Data Availability
20.8/25
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 (53/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
14.0/20
Revenue Signals
7.5/15
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] Frontend [medium] Data Pipeline [low]
Dashboard