B
Gov Tech Fund Investor Matching Navigator
3.00
Derivation Chain
Step 1
763.2B KRW semiconductor/AI government tech fund launch
→
Step 2
Startup government fund investment attraction
→
Step 3
GP investment preference analysis and matching
Problem
Early-stage Startups in semiconductors and AI seeking investment from the 763.2B KRW (~$572M) government science & technology fund must navigate 20+ GPs (fund managers), each with different investment stages, sector preferences, and ticket sizes. Founders spend 2-3 months personally networking to find the right GP. Adapting IR materials to each GP's preferred format adds another 1-2 weeks per submission.
Solution
The platform databases the investment history, sector preferences, stage focus, and ticket sizes of all 20+ participating GPs. Startups input their business profile and receive GP matches ranked by fit. The system auto-adjusts pitch deck templates to each GP's preferred IR format and sends timing alerts based on fund vintage schedules.
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 (78%)
Data Availability
23.3/25
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 (50/100)
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 [low]
AI/ML [low]