B

API Key & Secret Exposure Scanner

3.25

Derivation Chain

Step 1 Gemini API key security issues come to the forefront
→
Step 2 Rising security incidents due to poor API key management in dev teams
→
Step 3 Real-time API key and secret exposure scanner for dev teams
→
Step 4 Auto-rotation orchestrator based on scanner results

Problem

As seen with Google Gemini's API key security policy changes, cloud API keys are increasingly being reclassified as sensitive credentials. Startups and agencies (5–20 employees) have API keys scattered across GitHub repos, Slack messages, and Notion docs, yet lack systematic tracking. The average recovery cost per key exposure incident runs 5–20 million KRW (~$3,750–$15,000).

Solution

Connects to GitHub repos, Slack, Notion, Confluence, and more to auto-detect API keys and secrets across 200+ patterns, displaying exposure locations and risk levels on a dashboard. Sends immediate Slack alerts upon detection and supports one-click rotation for AWS/GCP/Azure keys.

Target: CTOs and DevOps leads at IT Startups and agencies with 5–20 employees
Revenue Model: SaaS at 49,000 KRW/month per team (~$37/mo) for 5 repos + 1 Slack workspace; Pro at 99,000 KRW/month (~$74/mo) for unlimited repos + Notion/Confluence integration + auto-rotation
Ecosystem Role: Infrastructure
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
2.0/5
U Urgency
4.0/5
M Market
3.0/5
R Realizability
3.0/5
V Validation
4.0/5
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 (63%)

Tech Complexity
29.3/40
Data Availability
13.8/25
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 (60/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
20.0/20
Revenue Signals
10.5/15
Pick-Axe Fit
10.5/15
Solo Buildability
5.0/10
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] Frontend [low] Infrastructure [medium]
Dashboard