B

STT Model Benchmark Automator

3.50

Derivation Chain

Step 1 Open-source STT model competition (Moonshine vs Whisper)
→
Step 2 STT model selection guide
→
Step 3 Automated STT benchmark reproduction and comparison

Problem

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.

Solution

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.

Target: AI/ML engineers at Korean Startups (3–10 employees) developing voice AI features; Freelancer voice AI developers
Revenue Model: Premium SaaS at $37/month per account (50 benchmarks/month); Enterprise at $142/month (unlimited + custom test sets)
Ecosystem Role: Supplier
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
3.0/5
U Urgency
4.0/5
M Market
3.0/5
R Realizability
4.0/5
V Validation
3.0/5
NUMR-V Scoring System
N Novelty1-5How uncommon the service is in market context.
U Urgency1-5How urgently users need this problem solved now.
M Market1-5Market size and growth potential from proxy indicators.
R Realizability1-5Buildability for a small team with realistic constraints.
V Validation1-5Validation signal quality from competition and demand data.
Each dimension is scored 1-5 and weighted into grade S/A/B/C/D.
SaaS N=.15 U=.20 M=.15 R=.30 V=.20 Senior N=.25 U=.25 M=.05 R=.30 V=.15

Feasibility (69%)

Tech Complexity
29.3/40
Data Availability
20.0/25
MVP Timeline
20.0/20
API Bonus
0.0/15
Feasibility Breakdown
Tech Complexity/ 40Difficulty of core implementation stack.
Data Availability/ 25Practical availability and cost of required data.
MVP Timeline/ 20Expected time to ship a usable MVP.
API Bonus/ 15Bonus for viable public API leverage.
Total 100 points; below 50% is filtered out.

Market Validation (53/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
14.0/20
Revenue Signals
7.5/15
Pick-Axe Fit
10.5/15
Solo Buildability
7.0/10
Validation Breakdown
Competition/ 20Signal quality from competitor landscape.
Market Demand/ 20Demand proxies from search and mention patterns.
Timing/ 20Fit with current shifts in tech, behavior, and regulation.
Revenue Signals/ 15Reference evidence for monetization viability.
Pick-Axe Fit/ 15How well the concept serves participants in a trend.
Solo Buildability/ 10Practicality for lean-team implementation.
Total 100 points; below 50 is filtered out.

Technical Requirements

Backend [medium] Data Pipeline [medium] Frontend [low]
Dashboard