Venue Booking Matching Platform

3.35

Derivation Chain

Step 1 Expansion of performance venue Infrastructure

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Step 2 Inefficiency in venue booking supply-demand matching

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Step 3 Real-time vacant slot matching service for venue bookings

Problem

As performance venues like Link the Space and Seoul Arts Center multiply, available booking slots are scattered across venues. Production companies must contact each venue individually by phone or email, taking an average of 5–7 days to confirm a single booking. From the venue side, utilization rates for empty time slots average only 40–60%, resulting in lost revenue opportunities.

Solution

A Platform that aggregates venue availability in real time and automatically matches production companies' requirements (genre, seating capacity, budget, schedule). Core features: (1) Unified calendar view of venue availability, (2) Criteria-based automatic matching and recommendations, (3) Online booking application and contract process.

Target: Small venue operators in Daehangno and Hongdae areas (10–200 seats), independent production companies and producers

Revenue Model: Matching success fee of 5% of booking price, venue Premium listing at ~$37.50/month (50,000 KRW/month) per venue, Free for production companies

Ecosystem Role: Infrastructure

MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty

2.0/5

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 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 (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	/ 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)

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	/ 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

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

Dashboard