No usable source links are available for this idea. Its signal notes and scores need independent verification.
Aspiring entrepreneurs preparing public data-driven startups (approximately 2,000 annual competition participants) spend an average of 3-4 weeks figuring out which combinations of data.go.kr's 20,000+ APIs can be assembled into viable services. The need to separately verify API specs, pre-validate data quality, and design revenue models causes a 60%+ dropout rate at the initial planning stage.
Enter industry and target customer keywords to auto-match relevant public data APIs, then generate 3-5 service ideas per data combination using LLM. For the selected idea, produce a draft business plan (PDF) within 30 minutes—including technical implementation difficulty, estimated costs, and revenue model.
| 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. |