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Development teams of 5–30 employees managing secrets across .env files, hardcoded API keys, and CI/CD variables fail to maintain visibility over secrets scattered across an average of 3–5 repositories, resulting in 1–2 key leak incidents per year. Post-leak response takes an average of 8–16 hours and is accompanied by service downtime.
Scans GitHub/GitLab repositories to detect secret exposure risks and provides a unified dashboard with key rotation cycle alerts and per-environment (.env, CI/CD, cloud) secret status. Core features: (1) Automated repo scanning — regex + entropy-based detection, (2) Secret rotation expiry alerts (Slack/Discord), (3) Per-environment secret inventory matrix.
| 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. |