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Office workers in their 30s-50s interested in real estate investment see trending celebrity property news like Yang Sang-guk's Gangnam apartment and want to research the actual transaction prices and market trends for that complex or area. However, the Ministry of Land's actual transaction price disclosure system has a poor UI, and connecting the news to the data takes 30 minutes to 1 hour.
A newsletter SaaS that automatically detects trending celebrity real estate news, automatically analyzes the complex's actual transaction price trends, price per pyeong, return rate, and surrounding infrastructure, and generates a 'numbers behind the news' report. Reports are published within 2 hours of news breaking to capture timing, and include an investment attractiveness score for the area.
| 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. |