No usable source links are available for this idea. Its signal notes and scores need independent verification.
As new private data centers for public purposes such as the Daejeon Data Center are built, cloud/SaaS companies (10-50 employees) considering colocation spend 2-4 weeks directly inquiring and comparing power rates, cooling efficiency, SLA, security levels, etc. across centers. The varying levels of information disclosure make fair comparison difficult.
Compare colocation conditions (power rate, monthly cost per rack, SLA, security certification, network bandwidth) of major domestic data centers (including new Daejeon center) in a standardized format. When users input their requirements (number of racks, power capacity, security level), it recommends 3-5 optimal candidates and automatically generates a colocation inquiry template.
| 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. |