A
Auth Fallback Route Builder
3.95
Derivation Chain
Step 1
Denmark MitID prolonged outage incident
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Step 2
Need for single-point-of-failure response for digital ID
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Step 3
Fallback architecture design tool for authentication service outages
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Step 4
Automated fallback architecture code generation service
Problem
Over 90% of Korean fintech and E-commerce services depend on PASS/Kakao simplified authentication, but when authentication goes down there is no fallback path, causing complete service outages. Designing and implementing a fallback authentication architecture (SMS OTP, email verification, joint certificates, etc.) takes a single developer 2-4 weeks, and each service's tech stack differs, making reuse difficult.
Solution
Users select their current authentication methods and tech stack (Spring/Node/FastAPI, etc.), and the service generates a fallback authentication flow architecture with boilerplate code that auto-switches during outages. It includes outage detection per authentication method, automatic switchover, and restoration logic when the primary method recovers.
NUMR-V Scores
NUMR-V Scoring System
| 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. |
SaaS N=.15 U=.20 M=.15 R=.30 V=.20
Senior N=.25 U=.25 M=.05 R=.30 V=.15
Feasibility (78%)
Data Availability
23.3/25
Feasibility Breakdown
| 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. |
Market Validation (53/100)
Validation Breakdown
| 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. |
Technical Requirements
Backend [medium]
Frontend [low]
AI/ML [low]