B

Public Cloud Migration SME Beneficiary Finder

3.40

Derivation Chain

Step 1 Public data migration to private clouds gains momentum
→
Step 2 Identifying SME SI/security firms benefiting from cloud transition
→
Step 3 A helper for investors in their 50s to discover policy-beneficiary unlisted and small-cap stocks

Problem

Even when news breaks that the government will migrate 50 public systems to private clouds, individual investors around age 55 find it difficult to identify which companies will benefit and what contract sizes will emerge. They have to manually search the Public Procurement Service's bidding announcements, and unlisted SI companies or security-certified firms are not covered in securities firm reports, creating significant information asymmetry. As a result, investors often buy large-cap stocks only after prices have already risen following policy announcements, leading to losses.

Solution

It automatically collects bidding announcements related to 'cloud,' 'SaaS,' and 'security certification' from the Public Procurement Service's Nara Market, and provides on one screen: (1) a dashboard of winning companies, amounts, and durations, (2) whether the company is listed or unlisted and a financial summary, and (3) a timeline of related policy news. The differentiator is the 'public procurement → beneficiary company' connection information that existing securities apps lack.

Target: Individual investors aged 50-60, interested in small/mid-cap and theme stocks, who read IT policy news but lack time to track procurement bids—either working professionals or early retirees.
Revenue Model: Weekly free summary newsletter; real-time bid alerts + in-depth company analysis reports for 9,900 KRW per month (approx. $7.40) subscription.
Ecosystem Role: Infrastructure
MVP Estimate: 2_weeks

NUMR-V Scores

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

Feasibility (73%)

Tech Complexity
34.7/40
Data Availability
17.9/25
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 (69/100)

Competition
10.0/20
Market Demand
20.0/20
Timing
16.0/20
Revenue Signals
10.5/15
Pick-Axe Fit
7.5/15
Solo Buildability
5.0/10
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

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