README.md

🚀 Nexjob - Modern Job Portal Platform

A modern, full-featured job portal platform built with Next.js, Supabase, and WordPress as a headless CMS. Features advanced job search, user management, and comprehensive admin controls.

🌟 Features

Core Features

• 🔍 Advanced Job Search - Filter by location, category, salary, experience level
• 📝 Job Management - Complete CRUD operations with rich content editor
• 👤 User Authentication - Secure signup/login with email verification
• 📚 Article System - Career tips and guides with categories
• 🔖 Bookmark System - Save favorite jobs for later
• 📱 Responsive Design - Mobile-first approach with Tailwind CSS

Admin Features

• 🎛️ Comprehensive Admin Panel - Full control over site settings
• 🔧 SEO Management - Dynamic meta tags, sitemaps, and schema markup
• 📊 Analytics Integration - Google Analytics and Tag Manager support
• 💰 Advertisement Management - Popup and sidebar ad configurations
• 🔄 WordPress Integration - Headless CMS for content management
• 👥 User Management - Role-based access control

Technical Features

• ⚡ SSG/ISR - Static generation with incremental regeneration
• 🔄 Auto Sitemap Generation - Dynamic XML sitemaps for SEO
• 🖼️ Image Optimization - Next.js Image component with Supabase storage
• 📈 Performance Optimized - Lazy loading, skeleton screens, infinite scroll
• 🚀 Production Ready - PM2 cluster mode, Nginx configuration included

🏗️ Architecture

┌─────────────────┐    ┌─────────────────┐    ┌─────────────────┐
│   Next.js App   │◄──►│   Supabase DB   │◄──►│  WordPress CMS  │
│                 │    │                 │    │                 │
│ • SSG/ISR Pages │    │ • User Auth     │    │ • Job Content   │
│ • API Routes    │    │ • Job Storage   │    │ • Article Mgmt  │
│ • Admin Panel   │    │ • File Storage  │    │ • Meta Fields   │
└─────────────────┘    └─────────────────┘    └─────────────────┘

🚀 Quick Start

Prerequisites

• Node.js 18+
• npm 8+
• Supabase account
• WordPress installation (optional)

Installation

1. Clone the repository

git clone https://github.com/yourusername/nexjob-portal.git
cd nexjob-portal

2. Install dependencies

npm install

3. Environment Setup

cp .env.example .env.local

Update .env.local with your credentials:

NEXT_PUBLIC_SUPABASE_URL=your_supabase_url
NEXT_PUBLIC_SUPABASE_ANON_KEY=your_supabase_anon_key
SUPABASE_SERVICE_ROLE_KEY=your_service_role_key
NEXT_PUBLIC_SITE_URL=http://localhost:3000
WP_API_BASE_URL=your_wordpress_api_url

4. Database Setup

# Run Supabase migrations
# Upload the migration files to your Supabase project

5. Start Development Server

npm run dev

Visit http://localhost:3000 to see your application.

📁 Project Structure

nexjob-portal/
├── pages/                    # Next.js pages and API routes
│   ├── api/                 # API endpoints
│   ├── admin/               # Admin panel pages
│   ├── lowongan-kerja/      # Job listing pages
│   ├── artikel/             # Article pages
│   └── ...
├── src/
│   ├── components/          # React components
│   │   ├── admin/          # Admin-specific components
│   │   ├── pages/          # Page-level components
│   │   └── ui/             # Reusable UI components
│   ├── services/           # API and business logic
│   ├── types/              # TypeScript definitions
│   └── utils/              # Helper functions
├── supabase/
│   └── migrations/         # Database migrations
└── styles/                 # Global styles

🔧 Configuration

Admin Panel Access

Access the admin panel at /admin with appropriate user permissions.

WordPress Integration

Configure WordPress API endpoints in the admin panel under Integration Settings.

SEO Configuration

Manage meta tags, sitemaps, and schema markup through the admin panel's SEO settings.

🚀 Deployment

Replit Deployment

This project is optimized for Replit deployment with automated scaling:

1. Fork the repository in Replit
2. Set up environment variables in Replit Secrets
3. Deploy using Autoscale for production traffic
4. Configure custom domain in deployment settings

Alternative Production Deployment (Ubuntu Server)

1. Use the deployment script

chmod +x deploy.sh
./deploy.sh

2. Configure Nginx (example config included in nginx-production-config.conf)
3. Set up SSL with Let's Encrypt or your preferred provider

📊 Comprehensive Development Roadmap

🎯 P0 - Critical Foundation & Stability (Weeks 1-3)

Priority: CRITICAL | Timeline: 3 weeks | Resources: 2-3 Full-time Developers

Phase 1A: TypeScript & Build System Fixes (Week 1)

Developer Hours: 40-50 hours | Complexity: Medium

Current Issues Analysis:

• Type mismatches in advertisementService.ts boolean returns
• Profile interface incompatibility with null/undefined values
• Duplicate property definitions in admin settings
• Missing type guards for async operations

Detailed Implementation:

1. TypeScript Strict Mode Implementation

   • Enable strictNullChecks and noImplicitAny in tsconfig.json
   • Add comprehensive null checking for all service methods
   • Implement proper error boundaries with typed error responses
   • Create utility types for common patterns (ApiResponse, AsyncResult)

2. Service Layer Type Safety

   • Refactor SupabaseAdminService to use proper generic types
   • Implement type-safe API response handlers
   • Add runtime type validation using Zod schema validation
   • Create type-safe query builders for database operations

3. Build Optimization

   • Implement bundle analyzer to identify large dependencies
   • Configure tree-shaking for unused code elimination
   • Optimize chunk splitting for better caching strategies
   • Add pre-commit hooks for TypeScript checking

Technical Specifications:

// Example of improved type safety implementation
interface ApiResponse<T> {
  success: boolean;
  data?: T;
  error?: string;
  timestamp: number;
}

class TypeSafeService<T> {
  async get(id: string): Promise<ApiResponse<T>> {
    // Implementation with proper error handling
  }
}

Phase 1B: Authentication & Security Hardening (Week 2)

Developer Hours: 50-60 hours | Complexity: High

Security Vulnerabilities Assessment:

• Session token exposure in client-side logging
• Missing CSRF protection on state-changing operations
• Insufficient rate limiting on authentication endpoints
• Weak password reset flow

Detailed Implementation:

1. Advanced Authentication System

   • Implement JWT refresh token rotation
   • Add device fingerprinting for suspicious login detection
   • Create session management with Redis for scalability
   • Implement multi-factor authentication (TOTP/SMS)

2. Security Middleware Layer

   • Rate limiting with sliding window algorithm
   • Request sanitization and XSS prevention
   • SQL injection protection with parameterized queries
   • Content Security Policy (CSP) headers

3. Authorization System Overhaul

   • Role-based access control (RBAC) with hierarchical permissions
   • Resource-level permissions for fine-grained control
   • API key management for external integrations
   • Audit logging for security events

Technical Implementation:

// Enhanced security middleware
interface SecurityConfig {
  rateLimit: {
    windowMs: number;
    maxRequests: number;
    blockDuration: number;
  };
  csrf: {
    secret: string;
    cookieName: string;
  };
  session: {
    maxAge: number;
    refreshThreshold: number;
  };
}

class SecurityManager {
  private rateLimiter: Map<string, RateLimitState>;
  private csrfTokens: Map<string, string>;
  
  async validateRequest(req: Request): Promise<ValidationResult> {
    // Comprehensive security validation
  }
}

Phase 1C: Database Performance & Reliability (Week 3)

Developer Hours: 35-45 hours | Complexity: Medium-High

Database Issues Analysis:

• Inefficient N+1 queries in job listing pages
• Missing database indexes on frequently queried columns
• Poor connection pooling configuration
• Lack of database backup and recovery procedures

Detailed Implementation:

1. Query Optimization

   • Implement database query analysis and slow query logging
   • Add proper indexes on foreign keys and search columns
   • Create materialized views for complex aggregations
   • Implement pagination with cursor-based navigation

2. Connection Management

   • Configure optimal connection pooling parameters
   • Implement connection retry logic with exponential backoff
   • Add database health checks and monitoring
   • Create read replicas for improved read performance

3. Data Integrity & Backup

   • Implement automated daily backups with retention policy
   • Add database migration version control
   • Create data validation triggers for critical tables
   • Implement soft deletes for important records

Technical Specifications:

-- Example of optimized database schema
CREATE INDEX CONCURRENTLY idx_jobs_location_category 
ON jobs(location, category) 
WHERE status = 'published';

CREATE INDEX CONCURRENTLY idx_jobs_salary_range 
ON jobs(salary_min, salary_max) 
WHERE salary_min IS NOT NULL;

-- Materialized view for job statistics
CREATE MATERIALIZED VIEW job_stats AS
SELECT 
  category,
  location,
  COUNT(*) as job_count,
  AVG(salary_min) as avg_salary_min,
  AVG(salary_max) as avg_salary_max
FROM jobs 
WHERE status = 'published'
GROUP BY category, location;

🎯 P1 - Enhanced User Experience & Core Features (Weeks 4-8)

Priority: HIGH | Timeline: 5 weeks | Resources: 3-4 Full-time Developers

Phase 2A: Advanced Search & Filtering System (Week 4-5)

Developer Hours: 80-100 hours | Complexity: High

Current Limitations:

• Basic text-based search without ranking
• Limited filter options and poor UX
• No search result personalization
• Missing autocomplete and suggestions

Detailed Implementation:

1. Full-Text Search Engine

   • Implement Elasticsearch integration for advanced search
   • Create search result ranking algorithm based on relevance
   • Add fuzzy matching for typos and misspellings
   • Implement search analytics and query optimization

2. Intelligent Filtering System

   • Multi-faceted search with dynamic filter options
   • Geolocation-based job recommendations
   • Salary range sliders with market data integration
   • Company size, industry, and experience level filters

3. Search Personalization

   • User behavior tracking for personalized results
   • Machine learning-based job recommendations
   • Search history and saved searches functionality
   • Real-time search suggestions and autocomplete

Technical Implementation:

interface SearchEngine {
  // Advanced search configuration
  indexConfig: {
    fields: SearchField[];
    weights: Record<string, number>;
    analyzers: Record<string, AnalyzerConfig>;
  };
  
  // Search with faceted results
  async search(query: SearchQuery): Promise<SearchResult> {
    // Implementation with Elasticsearch
  }
  
  // Personalization engine
  async getPersonalizedResults(
    userId: string, 
    baseQuery: SearchQuery
  ): Promise<PersonalizedSearchResult> {
    // ML-based recommendation implementation
  }
}

interface SearchQuery {
  text?: string;
  filters: {
    location?: GeoLocation | string[];
    category?: string[];
    salaryRange?: [number, number];
    experienceLevel?: ExperienceLevel[];
    companySize?: CompanySize[];
    workType?: WorkType[];
  };
  sort: SortOption[];
  pagination: PaginationConfig;
  personalization?: PersonalizationConfig;
}

Phase 2B: Real-time User Dashboard & Notifications (Week 6)

Developer Hours: 60-70 hours | Complexity: Medium-High

Feature Requirements:

• Real-time job alerts and notifications
• Application tracking with status updates
• Advanced profile management
• Social features and networking

Detailed Implementation:

1. Real-time Notification System

   • WebSocket integration for instant notifications
   • Push notification support for mobile devices
   • Email notification templates with personalization
   • SMS alerts for critical updates

2. Application Tracking System

   • Complete application lifecycle management
   • Status tracking with employer integration
   • Interview scheduling and calendar integration
   • Document management (resume, cover letters)

3. Enhanced Profile Management

   • Skills assessment and verification
   • Portfolio integration with GitHub/LinkedIn
   • Professional achievements and certifications
   • Networking and referral system

Technical Architecture:

// Real-time notification system
class NotificationService {
  private wsConnections: Map<string, WebSocket>;
  private notificationQueue: Queue<Notification>;
  
  async sendRealTimeNotification(
    userId: string, 
    notification: Notification
  ): Promise<void> {
    // Multi-channel notification delivery
  }
  
  async scheduleNotification(
    notification: ScheduledNotification
  ): Promise<void> {
    // Scheduled notification with Redis/Bull queue
  }
}

interface UserDashboard {
  applications: Application[];
  savedJobs: Job[];
  recommendations: JobRecommendation[];
  alerts: JobAlert[];
  notifications: Notification[];
  analytics: UserAnalytics;
}

Phase 2C: Content Management System Enhancement (Week 7-8)

Developer Hours: 90-110 hours | Complexity: High

CMS Requirements:

• Advanced rich text editor with media management
• Version control and content workflow
• Multi-language support
• SEO optimization tools

Detailed Implementation:

1. Advanced Content Editor

   • Rich text editor with custom blocks and components
   • Inline media insertion with drag-and-drop
   • Collaborative editing with real-time synchronization
   • Content templates and reusable components

2. Content Workflow Management

   • Editorial workflow with approval processes
   • Content scheduling and publication automation
   • Version control with diff visualization
   • Content analytics and performance tracking

3. SEO & Performance Tools

   • Automated SEO analysis and suggestions
   • Image optimization and lazy loading
   • Content delivery network (CDN) integration
   • Schema markup generation

Technical Implementation:

// Advanced CMS architecture
interface ContentManagementSystem {
  editor: RichTextEditor;
  workflow: ContentWorkflow;
  seo: SEOAnalyzer;
  media: MediaManager;
  versioning: VersionControl;
}

class ContentWorkflow {
  private states: WorkflowState[];
  private transitions: WorkflowTransition[];
  
  async submitForReview(
    contentId: string, 
    reviewerId: string
  ): Promise<WorkflowResult> {
    // Content review workflow implementation
  }
  
  async publishContent(contentId: string): Promise<PublishResult> {
    // Automated publishing with SEO validation
  }
}

🎯 P2 - Business Intelligence & Employer Features (Weeks 9-14)

Priority: MEDIUM-HIGH | Timeline: 6 weeks | Resources: 4-5 Full-time Developers

Phase 3A: Employer Portal & Recruitment Tools (Week 9-11)

Developer Hours: 150-180 hours | Complexity: High

Employer Platform Requirements:

• Company profile management and verification
• Advanced job posting with AI assistance
• Applicant tracking system (ATS)
• Recruitment analytics and reporting

Detailed Implementation:

1. Company Verification & Profile System

   • Multi-step company verification process
   • Company branding and profile customization
   • Team member management with role-based access
   • Company culture and benefits showcase

2. AI-Powered Job Posting Assistant

   • Job description optimization using NLP
   • Salary benchmarking with market data
   • Skills requirement suggestions
   • Job posting performance prediction

3. Comprehensive Applicant Tracking System

   • Resume parsing and candidate scoring
   • Interview scheduling with calendar integration
   • Collaborative hiring with team feedback
   • Automated reference checking

Technical Architecture:

// Employer platform architecture
interface EmployerPlatform {
  companyManagement: CompanyService;
  jobPosting: JobPostingService;
  applicantTracking: ATSService;
  analytics: EmployerAnalytics;
  billing: SubscriptionService;
}

class JobPostingAssistant {
  private nlpService: NLPService;
  private marketDataService: MarketDataService;
  
  async optimizeJobDescription(
    description: string
  ): Promise<OptimizationSuggestions> {
    // AI-powered job description optimization
  }
  
  async suggestSalaryRange(
    jobTitle: string,
    location: string,
    experience: string
  ): Promise<SalaryBenchmark> {
    // Market data analysis for salary suggestions
  }
}

Phase 3B: Advanced Analytics & Business Intelligence (Week 12-13)

Developer Hours: 100-120 hours | Complexity: Medium-High

Analytics Requirements:

• Real-time platform analytics dashboard
• User behavior analysis and conversion tracking
• Market intelligence and trend analysis
• Predictive analytics for hiring trends

Detailed Implementation:

1. Real-time Analytics Dashboard

   • Live metrics visualization with charts and graphs
   • Custom dashboard creation for different user roles
   • Alert system for critical metrics
   • Data export and reporting tools

2. User Behavior Analytics

   • Heat mapping and user journey analysis
   • A/B testing framework for feature optimization
   • Conversion funnel analysis
   • Cohort analysis for user retention

3. Market Intelligence System

   • Industry trend analysis and reporting
   • Competitor analysis and benchmarking
   • Skill demand forecasting
   • Salary trend analysis

Technical Implementation:

// Analytics and BI system
interface AnalyticsEngine {
  collector: DataCollector;
  processor: DataProcessor;
  visualizer: DataVisualizer;
  alerting: AlertSystem;
}

class MarketIntelligence {
  private dataWarehouse: DataWarehouse;
  private mlModels: MLModelRegistry;
  
  async analyzeTrends(
    timeRange: TimeRange,
    filters: AnalyticsFilters
  ): Promise<TrendAnalysis> {
    // Market trend analysis implementation
  }
  
  async predictHiringDemand(
    industry: string,
    location: string,
    timeframe: string
  ): Promise<DemandForecast> {
    // Machine learning-based demand prediction
  }
}

Phase 3C: Payment & Subscription Management (Week 14)

Developer Hours: 60-80 hours | Complexity: Medium

Payment System Requirements:

• Multi-tier subscription plans
• Flexible pricing models
• International payment support
• Revenue analytics and reporting

Detailed Implementation:

1. Subscription Management System

   • Flexible subscription plans with feature gating
   • Automatic billing and invoice generation
   • Usage-based pricing models
   • Subscription upgrade/downgrade workflows

2. Payment Processing Integration

   • Multiple payment gateway support (Stripe, PayPal)
   • International currency support
   • PCI compliance and security
   • Payment failure handling and retry logic

3. Revenue Analytics

   • Monthly recurring revenue (MRR) tracking
   • Customer lifetime value (CLV) analysis
   • Churn analysis and prevention
   • Revenue forecasting

🎯 P3 - AI/ML Integration & Advanced Features (Weeks 15-20)

Priority: MEDIUM | Timeline: 6 weeks | Resources: 3-4 Full-time Developers + 1 ML Engineer

Phase 4A: Machine Learning Integration (Week 15-17)

Developer Hours: 180-220 hours | Complexity: Very High

AI/ML Requirements:

• Job-candidate matching algorithm
• Resume analysis and skill extraction
• Predictive analytics for job success
• Chatbot for automated customer support

Detailed Implementation:

1. Job Recommendation Engine

   • Collaborative filtering for job recommendations
   • Content-based filtering using job descriptions
   • Hybrid recommendation system
   • Real-time model updates and learning

2. Resume Intelligence System

   • Automated resume parsing and structuring
   • Skill extraction and verification
   • Experience relevance scoring
   • Career progression analysis

3. Predictive Analytics Platform

   • Job application success prediction
   • Time-to-hire forecasting
   • Candidate retention probability
   • Market trend prediction

Technical Architecture:

// ML and AI system architecture
interface MLPlatform {
  recommendationEngine: RecommendationEngine;
  resumeAnalyzer: ResumeAnalyzer;
  predictiveAnalytics: PredictiveAnalytics;
  chatbot: ConversationalAI;
}

class RecommendationEngine {
  private collaborativeFilter: CollaborativeFilter;
  private contentFilter: ContentBasedFilter;
  private hybridModel: HybridRecommender;
  
  async getJobRecommendations(
    userId: string,
    limit: number
  ): Promise<JobRecommendation[]> {
    // Advanced ML-based job recommendations
  }
  
  async updateUserProfile(
    userId: string,
    interactions: UserInteraction[]
  ): Promise<void> {
    // Real-time learning from user behavior
  }
}

Phase 4B: Conversational AI & Automation (Week 18-19)

Developer Hours: 120-140 hours | Complexity: High

AI Automation Requirements:

• Intelligent chatbot for user support
• Automated job matching and alerts
• Smart content generation
• Voice-based job search interface

Detailed Implementation:

1. Conversational AI Chatbot

   • Natural language understanding (NLU)
   • Multi-turn conversation management
   • Integration with knowledge base
   • Escalation to human support

2. Content Generation AI

   • Automated job description generation
   • Personalized email content
   • SEO-optimized article creation
   • Social media content automation

3. Voice Interface Integration

   • Voice-powered job search
   • Audio resume submission
   • Interview practice with AI
   • Accessibility improvements

Phase 4C: Advanced Integration & API Platform (Week 20)

Developer Hours: 80-100 hours | Complexity: Medium-High

Integration Requirements:

• Third-party service integrations
• Public API for developers
• Webhook system for real-time updates
• Data synchronization with external systems

Detailed Implementation:

1. API Platform Development

   • RESTful API with OpenAPI documentation
   • GraphQL endpoint for flexible queries
   • Rate limiting and authentication
   • SDK development for popular languages

2. External Integrations

   • LinkedIn profile import
   • Google for Jobs integration
   • Slack/Teams notifications
   • Calendar system integration

3. Data Synchronization

   • Real-time data sync with external systems
   • Conflict resolution algorithms
   • Data transformation pipelines
   • Audit logging for compliance

🎯 P4 - Scale, Performance & Global Expansion (Weeks 21-24)

Priority: LOW-MEDIUM | Timeline: 4 weeks | Resources: 2-3 Full-time Developers + DevOps Engineer

Phase 5A: Infrastructure Scaling & Performance (Week 21-22)

Developer Hours: 120-150 hours | Complexity: High

Scaling Requirements:

• Horizontal scaling architecture
• Global content delivery network
• Database sharding and replication
• Microservices architecture transition

Detailed Implementation:

1. Infrastructure Scaling

   • Kubernetes deployment with auto-scaling
   • Load balancing with health checks
   • Database read replicas and sharding
   • Redis cluster for caching and sessions

2. Performance Optimization

   • CDN implementation for global reach
   • Image optimization and compression
   • Code splitting and lazy loading
   • Database query optimization

3. Monitoring and Observability

   • Application performance monitoring (APM)
   • Error tracking and alerting
   • Log aggregation and analysis
   • Business metrics dashboard

Phase 5B: Internationalization & Localization (Week 23-24)

Developer Hours: 100-120 hours | Complexity: Medium

Global Expansion Requirements:

• Multi-language support
• Currency and payment localization
• Regional compliance and data privacy
• Local job market integration

Detailed Implementation:

1. Internationalization Framework

   • React i18n implementation
   • Dynamic language switching
   • RTL language support
   • Cultural adaptation of UI/UX

2. Localization Management

   • Translation management system
   • Crowdsource translation platform
   • Quality assurance for translations
   • Regional content customization

3. Compliance and Privacy

   • GDPR compliance implementation
   • Regional data privacy laws
   • Cookie consent management
   • Data residency requirements

📈 Performance Metrics & Success Criteria

Technical Performance Targets

• Page Load Time: < 1.5 seconds (95th percentile)
• API Response Time: < 200ms (average)
• Database Query Time: < 50ms (95th percentile)
• Uptime: 99.9% availability
• Error Rate: < 0.1% of all requests

Business KPIs

• User Engagement: 70% monthly active users
• Job Application Rate: 15% of job views result in applications
• Employer Satisfaction: 4.5/5 average rating
• Revenue Growth: 25% month-over-month growth
• Customer Acquisition Cost: < $50 per user

Development Quality Metrics

• Code Coverage: > 80% test coverage
• Bug Density: < 1 bug per 1000 lines of code
• Security Vulnerabilities: Zero critical vulnerabilities
• Performance Regression: Zero performance degradation releases

🛠️ Technical Stack & Tools

Core Technologies

• Frontend: Next.js 14, React 18, TypeScript 5.8
• Backend: Next.js API Routes, Supabase Functions
• Database: PostgreSQL with Supabase
• Authentication: Supabase Auth with JWT
• Storage: Supabase Storage, AWS S3
• Caching: Redis, Vercel Edge Cache

Development Tools

• Testing: Jest, React Testing Library, Playwright
• Code Quality: ESLint, Prettier, Husky
• Monitoring: Sentry, DataDog, New Relic
• CI/CD: GitHub Actions, Vercel, Docker
• Documentation: Storybook, OpenAPI, JSDoc

Third-party Integrations

• Analytics: Google Analytics 4, Mixpanel
• Payment: Stripe, PayPal
• Communication: SendGrid, Twilio
• Search: Elasticsearch, Algolia
• ML/AI: OpenAI GPT, TensorFlow.js

🤝 Contributing

Development Workflow

1. Create feature branch from develop
2. Implement features with comprehensive tests
3. Submit pull request with detailed description
4. Code review and quality checks
5. Merge to develop after approval
6. Deploy to staging for testing
7. Release to production via main branch

Code Standards

• TypeScript: Strict mode enabled
• Testing: Minimum 80% code coverage
• Documentation: JSDoc for all public APIs
• Performance: Bundle size limits enforced
• Security: Security audit on all dependencies

📞 Support & Documentation

Resources

• 📧 Technical Support: dev@nexjob.tech
• 🐛 Bug Reports: GitHub Issues
• 📖 API Documentation: API Docs
• 💬 Community: Discord Server
• 📚 Knowledge Base: Wiki

Service Level Agreements

• Response Time: < 4 hours for critical issues
• Resolution Time: < 24 hours for critical bugs
• Uptime Guarantee: 99.9% monthly uptime
• Data Backup: Daily automated backups with 30-day retention

📄 License

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

🙏 Acknowledgments

• Next.js for the amazing React framework
• Supabase for the backend infrastructure
• Tailwind CSS for the utility-first CSS framework
• Lucide React for the beautiful icons
• TypeScript for type safety

---

Development Timeline Summary:

• P0 (Weeks 1-3): Foundation & Critical Fixes - 125-155 hours
• P1 (Weeks 4-8): Core Features & UX - 230-280 hours
• P2 (Weeks 9-14): Business Features - 310-380 hours
• P3 (Weeks 15-20): AI/ML & Advanced Features - 380-460 hours
• P4 (Weeks 21-24): Scale & Global Expansion - 220-270 hours

Total Estimated Development Time: 1,265-1,545 hours (approximately 8-10 developer months)

Made with ❤️ by the Nexjob Team