Vectoros
D 53 completed
Ai Ml
monorepo / json · small
117
Files
31,771
LOC
4
Frameworks
10
Languages
Pipeline State
completedRun ID
#371847Phase
doneProgress
1%Started
Finished
2026-04-13 01:31:02LLM tokens
0Pipeline Metadata
Stage
CatalogedDecision
proceedNovelty
77.80Framework unique
—Isolation
—Last stage change
2026-05-10 03:35:17Deduplication group #49769
Member of a group with 1 similar repo(s) — this repo is canonical view group →
Top concepts (2)
Project DescriptionWeb Backend
All rows above produced by Repobility · https://repobility.com
🧪 Code Distillation
Browse all specs →AI Prompt
Create an AI-powered revenue intelligence platform called VectorOS. I need a full-stack application that includes a Next.js frontend, a Node.js/Express backend, and a Python/FastAPI core for AI processing. The system must feature autonomous monitoring that analyzes deals every 30 minutes to detect anomalies and generate proactive insights, integrating with Claude Sonnet 4.5. Please structure the setup to use Docker Compose for easy deployment, and ensure the project handles deal-first insights for large pipelines.
full-stack ai next.js fastapi node.js python revenue-intelligence monitoring typescript express docker
Generated by gemma4:latest
Catalog Information
The VectorOS project is an AI-powered operating system designed for businesses.
Description
VectorOS is an AI-powered business operating system that aims to streamline and automate various aspects of a company's operations. It leverages machine learning algorithms to provide insights and recommendations, enabling businesses to make data-driven decisions. The system integrates with existing databases, such as PostgreSQL, to collect and analyze data.
الوصف
هو نظام تشغيل مُقدم من الذكاء الاصطناعي للاستخدام في الأعمال، يهدف إلى تسهيل وتحسين مختلف جوانب العمليات الداخلية للشركة. يستخدم الخوارزميات المتعلقة بالتعلم الآلي لتقديم استنتاجات واقتراحات، مما يساعد الشركات على اتخاذ قرارات مدروسة من خلال البيانات.
Novelty
7/10Tags
business-process-automation data-insights machine-learning operating-system process-optimization
Claude Models
claude (unknown version)
Quality Score
D
53.4/100
Structure
48
Code Quality
60
Documentation
74
Testing
0
Practices
69
Security
75
Dependencies
60
Strengths
- Code linting configured (eslint, ruff (possible))
- Containerized deployment (Docker)
Weaknesses
- No LICENSE file \u2014 legal ambiguity for contributors
- No tests found \u2014 high risk of regressions
- No CI/CD configuration \u2014 manual testing and deployment
- 2 files with critical complexity need refactoring
- 4 bare except/catch blocks swallowing errors
- 2454 duplicate lines detected \u2014 consider DRY refactoring
- 4 'god files' with >500 LOC need decomposition
Recommendations
- Add a test suite \u2014 start with critical path integration tests
- Set up CI/CD (GitHub Actions recommended) to automate testing and deployment
- Add a LICENSE file (MIT recommended for open source)
- Replace bare except/catch blocks with specific exception types
Security & Health
16.3h
Tech Debt (B)
A
OWASP (100%)
PASS
Quality Gate
Open data scored by Repobility · https://repobility.com
A
Risk (1)
Unknown
License
5.0%
Duplication
Languages
Frameworks
FastAPI Next.js pytest SQLAlchemy
Concepts (2)
| Category | Name | Description | Confidence | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Citation: Repobility (2026). State of AI-Generated Code. https://repobility.com/research/ | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_description | Project Description | The AI that stops deals from dying - Autonomously monitors your pipeline, learns from every outcome, and prevents revenue loss before it happens. | 80% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_category | Web Backend | web-backend | 70% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
LLM Insights
AI‑powered operating system for business process automationstructured_summary
infopurpose: AI‑powered operating system for business process automation
primary_domain: web-backend
reference_quality70
reuse_potential: high
Repobility · code-quality intelligence platform · https://repobility.com
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