Proof of Usefulness Report
exposure-check
Analysis completed on 7/7/2026
+70
Proof of Usefulness Score
You're In Business
Exposure-check is a practical and highly relevant open-source security tool addressing real problems in secret scanning and CI/CD security. While technical execution, utility, and market timing are strong, the project currently demonstrates minimal traction and audience reach (2,000-3,000 monthly reach), aligning its score with early-stage open-source projects.
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Score Breakdown
Real World Utility+21.25
Audience Reach Impact+6.00
Technical Innovation+10.50
Evidence Of Traction+10.00
Market Timing Relevance+8.50
Functional Completeness+4.50
Subtotal+60.75
Usefulness Multiplierx1.15
Final Score+70
Project Details
Project URL
Description
Open-source exposure scanner that finds what attackers can see before you do. Scans GitHub organisations, repositories, and domains for leaked secrets, risky GitHub Actions workflows, exposed corporate emails, and domain exposure. Single binary, no agents, no SaaS — runs locally, inCI/CD, or through a built-in web dashboard.
Audience Reach
The project reaches security engineers, DevSecOps teams, and open-source maintainers through GitHub, HackerNoon (where I am ranked among the Top 10 Cybersecurity Writers), DEV.to, and LinkedIn. Combined monthly reach across these platforms is approximately 2,000-3,000 people through articles, repository visits, and social engagement.
Target Users
Security engineers who need to audit their GitHub organisations for leaked secrets and risky workflows. DevSecOps teams integrating exposure scanning into CI/CD pipelines. Open-source maintainers who want to check their repositories for accidentally committed credentials. Red teams and penetration testers performing external reconnaissance. Startups and small teams that cannot afford commercial secret scanning tools but need visibility into their public exposure.
Technologies
Other, Go, Docker, GitHub Actions, SARIF
Traction Evidence
GitHub: https://github.com/bariskececi/exposure-check
DEV.to article: https://dev.to/bariskececi/i-built-an-open-source-exposure-scanner-that finds-what-attackers-see-before-they-do-477m HackerNoon profile (Top 10 Cybersecurity Writer): https://hackernoon.com/u/gnsac LinkedIn post with engagement: https://www.linkedin.com/in/bariskececi Docker image available on GHCR, GitHub Action published at v0.3
Algorithm Insights
Market Position
Growing utility with room for optimization
User Engagement
Documented reach suggests active user community
Technical Stack
Modern tech stack aligned with sponsor technologies
Recommendations to Increase Usefulness Score
Document User Growth
Provide specific metrics on user acquisition and retention rates
Showcase Revenue Model
Detail sustainable monetization strategy and current revenue streams
Expand Evidence Base
Include testimonials, case studies, and third-party validation
Technical Roadmap
Share development milestones and feature completion timeline