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As US export controls on AI chips to China continue to tighten, Korean IT distributors (10-30 employees) handling AMD and NVIDIA chips must manually review end-user verification, EAR compliance, and export license requirements on a per-transaction basis. Each review takes 2-4 hours, and with violation risks including trade restrictions and fines, legal costs reach ~$15,000-$37,000 annually.
A SaaS that cross-references per-transaction inputs (end-user, end-use, destination country) against the BIS Entity List, EAR regulations, and Korea's Strategic Materials Control List to instantly determine export eligibility and required licenses. Provides automatic alerts on regulation updates and re-screening of existing transactions.
| 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. |
| 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. |
| 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. |