Proof of Usefulness Report

AI Security Exposure Detector

Analysis completed on 1/30/2026

+13
Proof of Usefulness Score
You're In Business

The project is an early-stage prototype hosted on a temporary Bolt.new preview domain, indicating it is likely a demonstration of AI code generation rather than a production-ready security tool. While the concept of detecting exposed files is useful, the submission lacks technical implementation details, verifiable traction, or a user base. Additionally, the 'Who's It For' section appears to be copy-pasted text related to the evaluation methodology itself rather than the specific project, significantly reducing the credibility of the response.

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Score Breakdown

Real World Utility+5.0
Audience Reach Impact+1.0
Technical Innovation+1.5
Evidence Of Traction+0.63
Market Timing Relevance+6.0
Functional Completeness+0.25
Subtotal+14.38
Usefulness Multiplierx0.9
Final Score+13

Project Details

Project URL
ai-security-exposure-zru7.bolt.host/
Description
AI Security Exposure Detector is a web-based tool that helps organizations identify publicly exposed cloud files and sensitive data leaks using AI-powered classification and risk scoring. It enables users to quickly scan links, assess exposure risks, and generate actionable security reports to prevent data breaches.
Audience Reach
The project is currently reaching early adopters including developers, security enthusiasts, and small teams who are testing the tool and providing real-world feedback. Audience reach is expected to grow through community sharing, social platforms, and targeted outreach to users who benefit from automated risk detection and AI-powered insights.
Target Users
This project is for indie developers, startup founders, and product teams who want to measure real user adoption, validate product impact, and prove that their product delivers real-world value beyond demos.
Technologies
Other, Built using a custom AI stack with optional Bright Data integration for web scraping and exposed data discovery.
Traction Evidence
The product is currently in beta with pilot users validating functionality, generating real usage data, and helping refine features based on practical real-world needs.

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