Daejeon Data Center Colocation Comparator

2.50

Derivation Chain

Step 1 Sensitive public data private cloud migration policy

→

Step 2 Announcement of new Daejeon data center construction

→

Step 3 Demand from data center colocation companies for facility and cost comparison

Problem

As new private data centers for public purposes such as the Daejeon Data Center are built, cloud/SaaS companies (10-50 employees) considering colocation spend 2-4 weeks directly inquiring and comparing power rates, cooling efficiency, SLA, security levels, etc. across centers. The varying levels of information disclosure make fair comparison difficult.

Solution

Compare colocation conditions (power rate, monthly cost per rack, SLA, security certification, network bandwidth) of major domestic data centers (including new Daejeon center) in a standardized format. When users input their requirements (number of racks, power capacity, security level), it recommends 3-5 optimal candidates and automatically generates a colocation inquiry template.

Target: Infrastructure managers at cloud/SaaS companies with 10-50 employees, public institution cloud migration PMs, data center colocation consultants

Revenue Model: Premium subscription: 99,000 KRW/month (approx. $74.25) for unlimited comparisons + automated colocation inquiries; basic free (up to 3 comparisons). Lead generation fee from data centers: 500,000 KRW per lead (approx. $375)

Ecosystem Role: Consumer

MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty

2.0/5

U Urgency

2.0/5

M Market

2.0/5

R Realizability

3.0/5

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.

N=.15 U=.20 M=.15 R=.30 V=.20

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	/ 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

9.4/20

Timing

14.0/20

Revenue Signals

7.5/15

Pick-Axe Fit

7.5/15

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 [low] Data Pipeline [medium]

Dashboard