A
Vibe-Code Security Auto-Scanner
4.20
Derivation Chain
Step 1
Mass security vulnerability exposure in vibe-coded apps
→
Step 2
Vibe-coded output security scanner
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Step 3
Automated security vulnerability scanning SaaS for non-developers
Problem
Non-developer founders building apps with vibe-coding platforms like Lovable and Bolt are deploying with basic authentication/authorization flaws, hardcoded API keys, SQL injection vulnerabilities, and other issues—without even realizing it—leading to mass exposure of user data. Recently, 18,000 individuals' personal information was leaked from a single app. Non-developers cannot afford security audits ($2,250–$3,750 per engagement) and typically leave vulnerabilities unaddressed.
Solution
Users simply enter the deployment URL from their vibe-coding platform (Lovable, Bolt, v0, etc.) and the service performs an automated scan based on the OWASP Top 10, generating an easy-to-understand report with traffic-light risk indicators and one-click remediation guides. Weekly automated rescans with Slack/KakaoTalk notifications provide continuous monitoring.
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 (67%)
Data Availability
17.5/25
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 (63/100)
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 [medium]