B
Regional Settlement Talent Matching Board
2.70
Derivation Chain
Step 1
Glocal University regional settlement-oriented talent development
→
Step 2
Regional talent employment matching services
→
Step 3
Regional company-graduate settlement matching + settlement subsidy integration SaaS
Problem
Regional SMEs (10-50 employees) trying to recruit local university graduates find that national job platforms like JobKorea and Saramin have poor regional talent filters, taking 2-4 weeks per search to find suitable candidates. After hiring, companies often miss applying for municipal settlement subsidies (which vary by region), forfeiting up to $4,500 annually in available grants.
Solution
Automatically matches Glocal University graduate profiles with regional company hiring needs based on skills, and connects them with applicable municipal youth settlement grants and housing subsidies. Provides settlement grant application reminders and automated document assembly throughout the post-match settlement period.
NUMR-V Scores
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 (70%)
Data Availability
20.8/25
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)
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]