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Startups (3–10 employees) developing voice AI services and Freelancer AI engineers need to select the optimal STT model (Whisper, Moonshine, etc.) for their domain (call centers/medical/education). Setting up a consistent benchmarking environment takes 2–3 weeks, acquiring Korean-language test sets takes an additional 1–2 weeks, and this process must be repeated with every model update.
Provides standardized Korean-language test sets by domain (call center/medical/everyday conversation/broadcast). Users simply enter their model endpoint (API URL or local model path), and the system automatically measures WER/CER/latency/cost and generates a comparison Report. Auto re-benchmark alerts are sent when new models are released.
| 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. |