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The K-Moonshot Project is dramatically expanding government R&D grants in AI, biotech, semiconductors, and quantum fields, but leaders at small research institutes and Startups spend 2–3 hours per week checking multiple portals (NTIS, IRIS, etc.) for scattered grant announcements. Over 50% of eligible grants are missed due to manual cross-referencing of qualification criteria (tech domain, company size, region).
Aggregates R&D grant announcements from NTIS, IRIS, the Ministry of SMEs, and other sources, then auto-matches them against company profiles (tech domain, size, location, existing Patents) with a relevance score. Sends KakaoTalk alerts when a matching grant is found, and uses LLM to auto-draft proposal outlines and key sections, cutting application writing time by 50%.
| 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. |