Archivault: Automated Python IP suite quantifying Bus Factor & security risks.
Project Description: Archivault The Problem: Technical Debt & The "Bus Factor" Software maintenance costs enterprises billions annually, yet most tools only find syntax bugs. They fail to quantify Architectural Fragility—the risk that a codebase becomes unmaintainable if a key developer leaves (the "Bus Factor") or if technical debt accumulates unnoticed. The Solution: Automated Architectural Intelligence Archivault is an enterprise-grade Python static analysis suite designed for deep architectural audits. It doesn't just lint code; it applies Software Physics and Structural Logic to generate a "Level 20" health report of any codebase. What You Are Buying (The IP Assets): Proprietary Risk Logic: Implementation of Halstead Metrics (Mental Effort, Volume) and LCOM4 (Lack of Cohesion) to identify structural decay. The Bus Factor Engine: A unique algorithm that maps "Knowledge Silos" and quantifies the risk of project failure due to developer churn. Security Taint-Tracker: Advanced logic that tracks data flow from "Sources" (user input) to "Sinks" (databases) to pre-emptively identify SQL Injection and RCE vulnerabilities. Automated Prescription Engine: A built-in "Architect AI" that provides specific refactoring orders (e.g., Parameter Object patterns, Guard Clauses) to fix identified issues. The Dashboard: A professional GUI built with CustomTkinter, providing a visual "Report Card" (Grades A-F) and machine-readable SBOM (Software Bill of Materials). Commercial Opportunities for the Buyer: M&A Due Diligence: Use this as a proprietary tool to audit software assets before acquisition. DevSecOps Integration: Integrate the Taint-Tracker and Risk logic into an existing CI/CD platform. Consultancy Tooling: High-ticket "Architectural Audits" for enterprise clients. Technical Details: Stack: Python 3.12+, AST-based analysis, CustomTkinter UI. Status: Feature-complete standalone IP package. Handover: 100% IP buyout including private GitHub repository access and 30 days of technical handover support. Why I am selling: I have completed the core R&D and proof-of-concept for the diagnostic engine. I am now looking for a strategic buyer or organization to take this IP and integrate it into a larger enterprise-scale platform.
Next step: <p>Future Scalability: Archivault is architected for a seamless pivot into the $2B DevSecOps market. The logic is modular, allowing for easy integration into CI/CD pipelines, transformation into a Cloud SaaS, or use as a specialized M&A audit engine. This is a rare opportunity to acquire the core 'brain' for a next-generation software intelligence platform.</p>
For sale
Asking price: $18,995 USD
What's included
Proprietary Metric Engines: The complete logic and mathematical implementations for: Halstead Software Physics (Mental Effort, Volume, Difficulty). Bus Factor & Knowledge Silo Mapping. LCOM4 Structural Cohesion Analysis. Prescription Engine (Automated refactoring logic). Security Suite: The proprietary Taint-Tracker logic for mapping "Dirty Data" paths to secure sinks (SQLi/RCE prevention). User Interface: The modern CustomTkinter GUI codebase, pre-configured with a "Level 20" diagnostic dashboard. Technical Documentation: A "ReadMe" and developer guide explaining how to integrate the engine into existing pipelines. Compliance Tools: Built-in SBOM (Software Bill of Materials) generator (CycloneDX/JSON compatible).
Reason for selling
I am a software architect specialized in R&D and static analysis logic. I have successfully completed the development of the core diagnostic engine and the proprietary risk-scoring algorithms. My goal was to build a high-moat technical asset, but I do not have the marketing infrastructure or the desire to scale a SaaS business. I am looking to exit so a strategic buyer can integrate this IP into an existing platform or launch it with a dedicated sales team
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