B
Municipal Competition Management SaaS
3.05
Derivation Chain
Step 1
Public data utilization island expo
→
Step 2
Competition operations administration
→
Step 3
Integrated competition submission, judging, and announcement management Platform
Problem
When local governments run public data competitions, they handle submissions (email/mail), judging (Excel), and results announcements (manual website posting) through separate channels. Each competition requires 2-3 government staff members dedicated to administrative work for 4-6 weeks, with an average of 2-3 incidents per year involving missed submissions, duplicates, or scoring errors.
Solution
Handles the entire workflow — from competition announcement creation, online submission, judge assignment, blind evaluation, to automated results publication — within a single SaaS Platform. Features include automatic submission numbering, automated judge conflict-of-interest detection, and auto-generated results statistics.
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
20.6/25
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 (59/100)
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]
Infrastructure [low]