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Startup Metrics Benchmarking Platform

Build Status Test Coverage Security Scan License: MIT Version

Enterprise-grade benchmarking platform providing comprehensive startup metrics analysis and comparison tools.

Project Overview

The Startup Metrics Benchmarking Platform is a web-based solution enabling founders and executives to access reliable benchmark data across key startup metrics. Built with modern web technologies and enterprise-grade security, the platform delivers:

  • Real-time metric comparisons across revenue ranges
  • Multi-source benchmark aggregation
  • Customizable data visualizations
  • Secure company data handling
  • Google OAuth integration

Architecture

flowchart TD
    A[Web Application] --> B[API Gateway]
    B --> C[Auth Service]
    B --> D[Metrics Service]
    B --> E[Export Service]
    D --> F[(PostgreSQL)]
    D --> G[(Redis Cache)]
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Key Features

  • Authentication & Authorization

    • Google OAuth 2.0 integration
    • Role-based access control
    • Secure session management

  • Benchmark Analysis

    • Multi-source data visualization
    • Revenue-based filtering
    • Metric comparisons

  • Company Metrics

    • Metric input and validation
    • Personalized analysis
    • Export capabilities

  • Administrative Tools

    • Metric management
    • Source control
    • User administration

Getting Started

Prerequisites

  • Node.js 18 LTS
  • Docker 20+
  • PostgreSQL 13+
  • Redis 6+

Development Environment Setup

  1. Clone the repository:
git clone https://github.com/org/startup-metrics-platform.git
cd startup-metrics-platform
  1. Install dependencies:
npm install
  1. Configure environment variables:
cp .env.example .env
# Edit .env with your configuration
  1. Start development services:
docker-compose up -d
  1. Run database migrations:
npm run migrate
  1. Start development server:
npm run dev

Environment Variables

# Application
NODE_ENV=development
PORT=3000
API_VERSION=v1

# Authentication
GOOGLE_CLIENT_ID=your_client_id
GOOGLE_CLIENT_SECRET=your_client_secret
JWT_SECRET=your_jwt_secret

# Database
POSTGRES_HOST=localhost
POSTGRES_PORT=5432
POSTGRES_DB=metrics_platform
POSTGRES_USER=postgres
POSTGRES_PASSWORD=password

# Redis
REDIS_HOST=localhost
REDIS_PORT=6379

Project Structure

.
├── src/
│   ├── api/           # API endpoints
│   ├── auth/          # Authentication services
│   ├── metrics/       # Metrics processing
│   ├── models/        # Database models
│   └── utils/         # Shared utilities
├── infrastructure/    # Infrastructure as code
│   ├── terraform/     # AWS infrastructure
│   └── kubernetes/    # K8s configurations
├── tests/            # Test suites
└── docs/             # Documentation

Development

Code Standards

  • TypeScript for type safety
  • ESLint for code linting
  • Prettier for code formatting
  • Jest for testing
  • Conventional Commits

Testing Requirements

# Run unit tests
npm run test

# Run integration tests
npm run test:integration

# Run e2e tests
npm run test:e2e

# Generate coverage report
npm run test:coverage

Infrastructure

AWS Architecture

  • ECS Fargate for container orchestration
  • RDS PostgreSQL for database
  • ElastiCache Redis for caching
  • S3 for static assets and backups
  • CloudFront for CDN
  • WAF for security

Container Orchestration

# Build containers
docker-compose build

# Start services
docker-compose up -d

# View logs
docker-compose logs -f

Deployment

Environments

  • Development: Feature testing
  • Staging: Pre-production validation
  • Production: Live environment

CI/CD Pipeline

flowchart LR
    A[Push] --> B[Build]
    B --> C[Test]
    C --> D[Security Scan]
    D --> E[Deploy]
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Security

Authentication Flow

sequenceDiagram
    participant U as User
    participant F as Frontend
    participant A as Auth Service
    participant G as Google OAuth
    
    U->>F: Access Platform
    F->>G: OAuth Request
    G->>F: Auth Code
    F->>A: Exchange Code
    A->>F: JWT Token
    F->>U: Access Granted
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Security Features

  • TLS 1.3 encryption
  • JWT token authentication
  • Role-based access control
  • Data encryption at rest
  • WAF protection
  • Regular security audits

Operations

Monitoring

  • Prometheus for metrics
  • ELK Stack for logs
  • Grafana for visualization
  • PagerDuty for alerts

Backup Procedures

  • Automated daily backups
  • Point-in-time recovery
  • Cross-region replication
  • 30-day retention

Support

For support and questions:

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contributing

Please read CONTRIBUTING.md for details on our code of conduct and the process for submitting pull requests.