B
Startup Relocation Subsidy Matcher
2.50
Derivation Chain
Step 1
Big tech headquarters relocation / tax optimization trend
→
Step 2
Intensifying municipal competition for corporate attraction
→
Step 3
Automated matching service for municipal relocation subsidies and incentives
Problem
Startups and SMEs (5-50 employees) considering regional relocation must individually check corporate attraction announcements across 17 metropolitan and 226 municipal governments to identify available subsidies and incentives. Subsidy types alone include relocation grants, employment subsidies, investment grants, and training subsidies, each with different eligibility criteria (industry, size, headcount), taking a single person 2-3 weeks to research.
Solution
Automatically collects and normalizes corporate attraction incentives from all municipalities nationwide. Input a company profile (industry, revenue, headcount, planned relocation date) to auto-match eligible subsidies and incentives. Compare estimated benefit amounts, application deadlines, and required documents on a single screen, with auto-fill functionality for application forms.
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 (68%)
Data Availability
18.8/25
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
Data Pipeline [medium]
Backend [medium]
Frontend [low]