B

Data Center Power Contract Auction

2.55

Derivation Chain

Step 1 NVIDIA AI data center revenue up 75%
Step 2 Explosion in data center power demand
Step 3 Power purchase agreement brokerage and auction platform

Problem

As AI data center demand surges, small-to-mid-sized IDC operators in Korea (10-50MW scale) need to secure Power Purchase Agreements (PPAs), but no platform exists to compare renewable energy PPA options for RE100 compliance beyond direct contracts with KEPCO (Korea Electric Power Corporation). Using power brokers costs $15,000-$37,500 (~2,000-5,000만원) per deal in consulting fees, with no benchmarks to verify whether quoted prices are fair.

Solution

IDC operators enter their required power capacity, contract duration, and RE100 ratio, and the platform collects quotes from registered power suppliers (solar, wind, ESS) via reverse auction. It presents a fair-price band based on historical contract data and provides contract templates along with regulatory checklists (Electricity Business Act, Carbon Neutrality Act).

Target: CEOs and facilities managers at small-to-mid-sized IDC operators (10-50MW), colocation providers (ages 35-50)
Revenue Model: 1-2% brokerage commission on completed contracts. Monthly platform fee of ~$112/month for quote comparison and benchmark reports.
Ecosystem Role: Infrastructure
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
5.0/5
U Urgency
3.0/5
M Market
2.0/5
R Realizability
1.0/5
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.
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.

Market Validation (54/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
16.0/20
Revenue Signals
10.5/15
Pick-Axe Fit
10.5/15
Solo Buildability
3.0/10
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.

Technical Requirements

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