GeekSocial

Allows Geeks To Create Relevant Social Media Posts for Using PyUSD and AI

GeekSocial

Created At

ETHOnline 2025

Project Description

🚀 Project Overview

Geeksocial is an innovative AI-powered social media content creation platform that revolutionizes how users create, manage, and monetize content across multiple social media platforms. Built for ETHOnline 2025, Geeksocial combines cutting-edge AI technology with blockchain payments to create a seamless, automated content creation experience.

🎯 Problem Statement

Current Pain Points in Social Media Content Creation:

Time-Consuming Process: Creating engaging content for multiple platforms takes hours daily
Platform-Specific Optimization: Each social media platform requires different content formats and strategies
Consistent Posting: Maintaining regular posting schedules is challenging for individuals and businesses
Content Quality: Producing high-quality, engaging content consistently is difficult
Payment Friction: Traditional payment methods for content services are slow and expensive
Monetization Challenges: Content creators struggle to monetize their content and insights

Market Size & Opportunity:

Social Media Management Market: $15+ billion globally
Content Creation Tools Market: $4+ billion and growing
AI Content Generation Market: $1+ billion with 25%+ annual growth
Blockchain Payments: $1+ trillion in digital payments annually

💡 Solution: Geeksocial Platform

Geeksocial addresses these challenges through an integrated platform that combines:

🤖 AI-Powered Content Generation

ChatGPT Integration: Advanced AI generates platform-optimized content
Multi-Platform Support: Twitter, Instagram, LinkedIn, Facebook optimization
Content Variations: Generate multiple versions of the same post
Trend Analysis: AI-powered trending topics and hashtag suggestions
Engagement Prediction: AI analyzes content performance potential

💰 Blockchain Payment Integration

PYUSD Payments: Fast, low-cost payments using PayPal's stablecoin
Base Network: Ethereum L2 for efficient transactions
Tiered Pricing: Basic ($5), Premium ($15), Enterprise ($50) monthly plans
Crypto-Native: Built for Web3 users and businesses

📱 Comprehensive Social Media Management

Automated Posting: Schedule and post content across multiple platforms
Analytics Dashboard: Track engagement, reach, and performance metrics
Content Calendar: Visual planning and scheduling interface
Team Collaboration: Multi-user accounts for businesses

🏗️ Technical Architecture

Frontend (React/Next.js)

Modern Web App: Responsive design with Tailwind CSS
Real-Time Updates: Live content generation and posting status
Interactive Dashboard: User-friendly content management interface
Mobile-First: Optimized for mobile and desktop usage

Backend (Node.js/Python)

API Integration: OpenAI ChatGPT API for content generation
Social Media APIs: Twitter, Instagram, LinkedIn, Facebook integration
Payment Processing: PayPal PYUSD integration with Base network
Database Management: PostgreSQL for user data and content storage

Blockchain Integration

Base Network: Ethereum L2 for fast, cheap transactions
PYUSD Integration: PayPal's stablecoin for payments
Wallet Connection: MetaMask, WalletConnect support
Transaction Verification: Blockchain-based payment confirmation

🎯 Target Users

Primary Users:

Content Creators: Individual creators needing automated content generation
Small Businesses: Companies requiring consistent social media presence
Marketing Agencies: Agencies managing multiple client accounts
Entrepreneurs: Business owners needing professional social media management

User Personas:

Sarah (Content Creator): Posts daily on Instagram and Twitter, needs consistent content
Mike (Small Business Owner): Runs a local restaurant, needs social media presence
Lisa (Marketing Manager): Manages social media for multiple clients
David (Entrepreneur): Building a personal brand, needs professional content

🚀 Key Features & Functionality

1. AI Content Generation

// Example: Generate Twitter content
const content = await generateContent({
  topic: "Web3 innovation",
  platform: "twitter",
  tone: "professional",
  length: "short",
  hashtags: true,
  emojis: true
});
// Output: "🚀 Web3 is revolutionizing how we think about digital ownership and decentralized systems. The future is here! #Web3 #Innovation #Blockchain"

2. Multi-Platform Optimization

Twitter: 280-character limit, hashtag optimization, engagement hooks
Instagram: Visual-focused captions, story-optimized content, hashtag strategies
LinkedIn: Professional tone, industry insights, thought leadership
Facebook: Longer-form content, community engagement, storytelling

3. Payment Integration

// Example: PYUSD payment processing
const payment = await processPayment({
  amount: 15,
  currency: 'PYUSD',
  plan: 'premium',
  userWallet: '0x...'
});
// Result: Fast, low-cost transaction on Base network

4. Content Scheduling & Automation

Smart Scheduling: AI-optimized posting times
Batch Processing: Generate and schedule multiple posts
Cross-Platform Sync: Consistent messaging across platforms
Performance Tracking: Real-time analytics and optimization

🏆 Hackathon Integration & Prizes

PayPal Track ($5,000) - ✅ QUALIFIED

PYUSD Integration: Seamless payment processing with PayPal's stablecoin
Base Network Deployment: Fast, efficient transactions on Ethereum L2
Original Project: Built from scratch for ETHOnline 2025
Demo Video: 2-4 minute comprehensive demonstration
Real-World Utility: Solves actual content creation problems

Future Integrations (Phase 2)

ASI Alliance ($5,000): AI agents for enhanced content generation
Avail ($4,500): Cross-chain content distribution
Lighthouse ($1,000): Encrypted storage and data monetization

Total Prize Potential: $15,500 (Current: $5,000, Future: $10,500)

📊 Business Model & Monetization

Revenue Streams:

Subscription Plans: Monthly recurring revenue
Usage-Based Pricing: Pay-per-content generation
Enterprise Solutions: Custom pricing for large organizations
Data Monetization: Anonymized insights and analytics

Pricing Strategy:

Basic Plan ($5/month): 10 content generations, basic features
Premium Plan ($15/month): 50 content generations, advanced features
Enterprise Plan ($50/month): Unlimited generations, team features

Market Validation:

Target Market: 50+ million content creators globally
Revenue Potential: $100M+ annual recurring revenue
Growth Strategy: Freemium model with premium features

🔮 Innovation & Future Vision

Short-Term (3-6 months):

Enhanced AI: More sophisticated content generation
Platform Expansion: TikTok, YouTube, Pinterest integration
Analytics: Advanced performance tracking and optimization

Medium-Term (6-12 months):

Cross-Chain Integration: Avail for multi-chain content distribution
AI Agents: ASI Alliance integration for autonomous content management
Data Monetization: Lighthouse integration for content insights

Long-Term (1+ years):

Decentralized Platform: Community-governed content creation
NFT Integration: Content ownership and monetization
Global Expansion: Multi-language support and international markets

🎯 Competitive Advantages

1. Blockchain-Native: Built for Web3 users and businesses

2. AI-Powered: Advanced content generation and optimization

3. Multi-Platform: Comprehensive social media management

4. Cost-Effective: PYUSD payments reduce transaction costs

5. Scalable: Architecture supports millions of users

6. Future-Proof: Ready for advanced blockchain integrations

📈 Impact & Social Value

For Content Creators:

Time Savings: 80% reduction in content creation time
Quality Improvement: AI-optimized content performs better
Consistency: Regular posting schedules maintained
Monetization: New revenue streams through content insights

For Businesses:

Cost Reduction: 60% lower than traditional marketing agencies
Scalability: Manage multiple accounts efficiently
Performance: Data-driven content optimization
ROI: Measurable return on investment

For the Ecosystem:

Web3 Adoption: Brings traditional users to blockchain
Payment Innovation: Demonstrates PYUSD utility
AI Integration: Shows practical AI applications
Content Economy: New models for content monetization

🚀 Technical Innovation

1. AI Content Optimization: Platform-specific content generation

2. Blockchain Payments: PYUSD integration for seamless transactions

3. Real-Time Analytics: Live performance tracking and optimization

4. Scalable Architecture: Microservices-based design

5. Future-Ready: Prepared for advanced blockchain integrations

📋 Development Roadmap

Phase 1: MVP (Current - 3-4 days)

[x] ChatGPT API integration
[x] PYUSD payment processing
[x] Basic social media posting
[x] User dashboard and analytics

Phase 2: Enhancement (1-2 months)

[ ] Advanced AI features
[ ] More social media platforms
[ ] Team collaboration features
[ ] Advanced analytics

Phase 3: Blockchain Integration (3-6 months)

[ ] ASI Alliance AI agents
[ ] Avail cross-chain distribution
[ ] Lighthouse data monetization
[ ] NFT content ownership

🎯 Conclusion

Geeksocial represents the future of social media content creation, combining the power of AI with blockchain technology to create a seamless, efficient, and profitable content creation experience. By solving real-world problems for content creators and businesses, Geeksocial demonstrates the practical utility of blockchain technology and AI integration.

The platform's focus on PYUSD payments, AI-powered content generation, and comprehensive social media management positions it as a leader in the Web3 content creation space, with significant potential for growth and impact in the broader social media ecosystem.

Built with ❤️ for ETHOnline 2025 - Revolutionizing Social Media Content Creation

How it's Made

Geeksocial - How It's Made

Technical Implementation & Architecture Details

🏗️ Overall Architecture

Geeksocial is built as a full-stack Web3 application with a modern, scalable architecture that combines AI-powered content generation with blockchain payments. The system is designed for high performance, real-time processing, and seamless user experience.

System Architecture Diagram

┌─────────────────┐    ┌─────────────────┐    ┌─────────────────┐
│   Frontend      │    │   Backend       │    │   Blockchain    │
│   (Next.js)     │◄──►│   (Node.js)     │◄──►│   (Base/PYUSD)  │
│                 │    │                 │    │                 │
│ • React 18      │    │ • Express API   │    │ • Base Network  │
│ • TypeScript    │    │ • Python AI    │    │ • PYUSD Token   │
│ • Tailwind CSS  │    │ • PostgreSQL   │    │ • Web3 Wallets  │
│ • Framer Motion │    │ • Redis Cache   │    │                 │
└─────────────────┘    └─────────────────┘    └─────────────────┘
         │                       │                       │
         └───────────────────────┼───────────────────────┘
                                 │
                    ┌─────────────────┐
                    │   External APIs │
                    │                 │
                    │ • OpenAI GPT-4  │
                    │ • Social Media  │
                    │ • PayPal API    │
                    └─────────────────┘

🛠️ Technology Stack

Frontend Technologies

Next.js 14: React framework with App Router for optimal performance
React 18: Latest React with concurrent features and Suspense
TypeScript: Type-safe development with strict type checking
Tailwind CSS: Utility-first CSS framework for rapid UI development
Framer Motion: Smooth animations and transitions
Wagmi: React hooks for Ethereum interactions
Ethers.js: Ethereum library for blockchain interactions

Backend Technologies

Node.js: JavaScript runtime for server-side processing
Express.js: Web application framework for API development
Python: AI/ML processing and content generation
FastAPI: High-performance Python web framework
PostgreSQL: Relational database for user data and content
Redis: In-memory cache for session management and performance
Prisma: Database ORM for type-safe database operations

Blockchain Technologies

Base Network: Ethereum L2 for fast, cheap transactions
PYUSD: PayPal's stablecoin for payments
Ethers.js: Ethereum library for blockchain interactions
Web3 Wallets: MetaMask, WalletConnect integration

AI/ML Technologies

OpenAI GPT-4: Advanced language model for content generation
Custom Prompts: Specialized prompts for different platforms
Content Analysis: AI-powered engagement scoring
Trend Analysis: Real-time trending topics and hashtags

🔧 Core Implementation Details

1. AI Content Generation System

ChatGPT API Integration

// src/services/openai.ts
export class ContentGenerator {
  private openai: OpenAI;

  async generateContent(request: ContentRequest): Promise<GeneratedContent> {
    const prompt = this.buildPrompt(request);
    
    const completion = await this.openai.chat.completions.create({
      model: 'gpt-4',
      messages: [
        {
          role: 'system',
          content: 'You are an expert social media content creator...'
        },
        {
          role: 'user',
          content: prompt
        }
      ],
      max_tokens: 1000,
      temperature: 0.7,
    });

    return this.parseResponse(completion.choices[0]?.message?.content);
  }
}

Platform-Specific Optimization

// Platform-specific content generation
const platformGuidelines = {
  twitter: '280 characters max, use hashtags, be concise',
  instagram: 'Visual focus, use relevant hashtags, engaging captions',
  linkedin: 'Professional tone, industry insights, thought leadership',
  facebook: 'Longer form content, community engagement, storytelling'
};

// Dynamic prompt building based on platform
private buildPrompt(request: ContentRequest): string {
  return `
Create ${request.platform} content about "${request.topic}".
Platform Guidelines: ${platformGuidelines[request.platform]}
Tone: ${request.tone}
Length: ${request.length}
Include hashtags: ${request.hashtags ? 'Yes' : 'No'}
  `;
}

Content Analysis & Optimization

// AI-powered content analysis
async analyzeContent(content: string): Promise<ContentAnalysis> {
  const prompt = `
Analyze this social media content:
"${content}"

Provide:
1. Engagement score (1-10)
2. Readability score (1-10)
3. Sentiment (positive/neutral/negative)
4. Improvement suggestions
  `;

  const analysis = await this.openai.chat.completions.create({
    model: 'gpt-4',
    messages: [{ role: 'user', content: prompt }],
    temperature: 0.3,
  });

  return this.parseAnalysis(analysis.choices[0]?.message?.content);
}

2. Blockchain Payment System

PYUSD Integration on Base Network

// src/services/paypal.ts
export class PayPalPYUSDService {
  private config: PYUSDConfig;
  private provider: ethers.Provider;

  constructor() {
    this.config = {
      contractAddress: process.env.BASE_CONTRACT_ADDRESS,
      rpcUrl: process.env.BASE_RPC_URL,
      chainId: 8453 // Base mainnet
    };
    this.provider = new ethers.JsonRpcProvider(this.config.rpcUrl);
  }

  async processPayment(request: PaymentRequest): Promise<PaymentResponse> {
    // Validate payment request
    if (!this.validatePaymentRequest(request)) {
      return { success: false, error: 'Invalid payment request' };
    }

    // Execute PYUSD transaction
    const txHash = await this.executePYUSDTransaction(request);
    
    return {
      success: true,
      transactionId: txHash
    };
  }
}

Web3 Wallet Integration

// Frontend wallet connection
import { useAccount, useConnect, useDisconnect } from 'wagmi';

export function WalletConnection() {
  const { address, isConnected } = useAccount();
  const { connect, connectors } = useConnect();
  const { disconnect } = useDisconnect();

  const handleConnect = () => {
    connect({ connector: connectors[0] });
  };

  return (
    <div>
      {isConnected ? (
        <div>
          <p>Connected: {address}</p>
          <button onClick={() => disconnect()}>Disconnect</button>
        </div>
      ) : (
        <button onClick={handleConnect}>Connect Wallet</button>
      )}
    </div>
  );
}

3. Social Media Integration

Multi-Platform API Integration

// src/services/social.ts
export class SocialMediaService {
  private twitterClient: TwitterApi;
  private instagramClient: InstagramBasicDisplayApi;
  private linkedinClient: LinkedInApi;

  async postContent(content: SocialMediaPost): Promise<PostResult> {
    const results = await Promise.allSettled([
      this.postToTwitter(content),
      this.postToInstagram(content),
      this.postToLinkedIn(content)
    ]);

    return this.processResults(results);
  }

  private async postToTwitter(content: SocialMediaPost): Promise<TwitterResult> {
    const tweet = await this.twitterClient.v2.tweets.create({
      text: content.text,
      media: content.media ? { media_ids: [content.media] } : undefined
    });

    return {
      platform: 'twitter',
      postId: tweet.data.id,
      url: `https://twitter.com/user/status/${tweet.data.id}`
    };
  }
}

Content Scheduling System

// Content scheduling with Redis
export class ContentScheduler {
  private redis: Redis;

  async schedulePost(post: ScheduledPost): Promise<void> {
    const key = `scheduled_post:${post.id}`;
    const delay = post.scheduledTime - Date.now();
    
    await this.redis.setex(key, Math.floor(delay / 1000), JSON.stringify(post));
    
    // Schedule the actual posting
    setTimeout(() => {
      this.executeScheduledPost(post);
    }, delay);
  }

  private async executeScheduledPost(post: ScheduledPost): Promise<void> {
    try {
      const result = await this.socialMediaService.postContent(post.content);
      await this.updatePostStatus(post.id, 'posted', result);
    } catch (error) {
      await this.updatePostStatus(post.id, 'failed', error);
    }
  }
}

4. Database Architecture

PostgreSQL Schema

-- Users table
CREATE TABLE users (
  id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
  wallet_address VARCHAR(42) UNIQUE NOT NULL,
  email VARCHAR(255),
  subscription_plan VARCHAR(20) DEFAULT 'basic',
  created_at TIMESTAMP DEFAULT NOW(),
  updated_at TIMESTAMP DEFAULT NOW()
);

-- Content posts table
CREATE TABLE posts (
  id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
  user_id UUID REFERENCES users(id),
  content TEXT NOT NULL,
  platform VARCHAR(20) NOT NULL,
  status VARCHAR(20) DEFAULT 'draft',
  engagement_score INTEGER,
  created_at TIMESTAMP DEFAULT NOW(),
  posted_at TIMESTAMP
);

-- Payments table
CREATE TABLE payments (
  id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
  user_id UUID REFERENCES users(id),
  amount DECIMAL(10,2) NOT NULL,
  currency VARCHAR(10) DEFAULT 'PYUSD',
  transaction_hash VARCHAR(66),
  status VARCHAR(20) DEFAULT 'pending',
  created_at TIMESTAMP DEFAULT NOW()
);

Prisma ORM Integration

// prisma/schema.prisma
generator client {
  provider = "prisma-client-js"
}

datasource db {
  provider = "postgresql"
  url      = env("DATABASE_URL")
}

model User {
  id            String   @id @default(cuid())
  walletAddress String   @unique
  email         String?
  subscription  String   @default("basic")
  posts         Post[]
  payments      Payment[]
  createdAt     DateTime @default(now())
  updatedAt     DateTime @updatedAt
}

model Post {
  id              String   @id @default(cuid())
  userId          String
  user            User     @relation(fields: [userId], references: [id])
  content         String
  platform        String
  status          String   @default("draft")
  engagementScore Int?
  createdAt       DateTime @default(now())
  postedAt        DateTime?
}

5. Real-Time Features

WebSocket Integration

// Real-time content generation updates
export class ContentGenerationService {
  private io: Server;

  async generateContentWithUpdates(userId: string, request: ContentRequest) {
    const socket = this.io.to(userId);
    
    // Send progress updates
    socket.emit('generation:started', { requestId: request.id });
    
    try {
      const content = await this.openaiService.generateContent(request);
      socket.emit('generation:completed', { content });
    } catch (error) {
      socket.emit('generation:failed', { error: error.message });
    }
  }
}

Redis Caching System

// Redis caching for performance
export class CacheService {
  private redis: Redis;

  async getCachedContent(key: string): Promise<GeneratedContent | null> {
    const cached = await this.redis.get(key);
    return cached ? JSON.parse(cached) : null;
  }

  async setCachedContent(key: string, content: GeneratedContent, ttl: number = 3600): Promise<void> {
    await this.redis.setex(key, ttl, JSON.stringify(content));
  }

  async invalidateUserCache(userId: string): Promise<void> {
    const pattern = `user:${userId}:*`;
    const keys = await this.redis.keys(pattern);
    if (keys.length > 0) {
      await this.redis.del(...keys);
    }
  }
}

🚀 Performance Optimizations

1. AI Content Generation Optimization

// Batch content generation for efficiency
export class BatchContentGenerator {
  async generateBatch(requests: ContentRequest[]): Promise<GeneratedContent[]> {
    // Group requests by platform for optimization
    const groupedRequests = this.groupByPlatform(requests);
    
    // Process in parallel with rate limiting
    const results = await Promise.allSettled(
      groupedRequests.map(group => this.processGroup(group))
    );

    return this.flattenResults(results);
  }

  private async processGroup(group: ContentRequest[]): Promise<GeneratedContent[]> {
    // Use single API call for similar requests
    const prompt = this.buildBatchPrompt(group);
    const completion = await this.openai.chat.completions.create({
      model: 'gpt-4',
      messages: [{ role: 'user', content: prompt }],
      max_tokens: 2000,
    });

    return this.parseBatchResponse(completion.choices[0]?.message?.content);
  }
}

2. Database Query Optimization

// Optimized database queries with Prisma
export class OptimizedPostService {
  async getUserPosts(userId: string, limit: number = 20): Promise<Post[]> {
    return await this.prisma.post.findMany({
      where: { userId },
      include: {
        user: {
          select: { walletAddress: true, subscription: true }
        }
      },
      orderBy: { createdAt: 'desc' },
      take: limit
    });
  }

  async getPostsWithAnalytics(userId: string): Promise<PostWithAnalytics[]> {
    // Use raw SQL for complex analytics queries
    const result = await this.prisma.$queryRaw`
      SELECT 
        p.*,
        AVG(p.engagement_score) as avg_engagement,
        COUNT(*) as total_posts
      FROM posts p
      WHERE p.user_id = ${userId}
      GROUP BY p.id
      ORDER BY p.created_at DESC
    `;

    return result as PostWithAnalytics[];
  }
}

3. Caching Strategy

// Multi-layer caching system
export class CachingStrategy {
  private memoryCache: Map<string, any> = new Map();
  private redis: Redis;

  async get<T>(key: string): Promise<T | null> {
    // L1: Memory cache
    if (this.memoryCache.has(key)) {
      return this.memoryCache.get(key);
    }

    // L2: Redis cache
    const cached = await this.redis.get(key);
    if (cached) {
      const data = JSON.parse(cached);
      this.memoryCache.set(key, data);
      return data;
    }

    return null;
  }

  async set<T>(key: string, data: T, ttl: number = 3600): Promise<void> {
    // Set in both caches
    this.memoryCache.set(key, data);
    await this.redis.setex(key, ttl, JSON.stringify(data));
  }
}

🔒 Security Implementation

1. Authentication & Authorization

// JWT-based authentication with wallet verification
export class AuthService {
  async verifyWalletSignature(walletAddress: string, signature: string, message: string): Promise<boolean> {
    try {
      const recoveredAddress = ethers.verifyMessage(message, signature);
      return recoveredAddress.toLowerCase() === walletAddress.toLowerCase();
    } catch (error) {
      return false;
    }
  }

  async generateJWT(user: User): Promise<string> {
    return jwt.sign(
      { 
        userId: user.id, 
        walletAddress: user.walletAddress,
        subscription: user.subscription 
      },
      process.env.JWT_SECRET!,
      { expiresIn: '7d' }
    );
  }
}

2. API Rate Limiting

// Rate limiting for API endpoints
export class RateLimiter {
  private redis: Redis;

  async checkRateLimit(userId: string, endpoint: string): Promise<boolean> {
    const key = `rate_limit:${userId}:${endpoint}`;
    const current = await this.redis.incr(key);
    
    if (current === 1) {
      await this.redis.expire(key, 3600); // 1 hour window
    }

    return current <= this.getLimitForEndpoint(endpoint);
  }

  private getLimitForEndpoint(endpoint: string): number {
    const limits = {
      'content:generate': 100, // 100 requests per hour
      'content:post': 50,      // 50 posts per hour
      'payment:process': 10    // 10 payments per hour
    };

    return limits[endpoint] || 20;
  }
}

🧪 Testing Strategy

1. Unit Testing

// Jest tests for core functionality
describe('ContentGenerator', () => {
  it('should generate platform-optimized content', async () => {
    const request: ContentRequest = {
      topic: 'Web3 innovation',
      platform: 'twitter',
      tone: 'professional',
      length: 'short',
      hashtags: true
    };

    const result = await contentGenerator.generateContent(request);
    
    expect(result.content).toBeDefined();
    expect(result.hashtags.length).toBeGreaterThan(0);
    expect(result.engagement_score).toBeGreaterThan(0);
  });
});

2. Integration Testing

// Integration tests for API endpoints
describe('Payment API', () => {
  it('should process PYUSD payment successfully', async () => {
    const paymentRequest = {
      amount: 15,
      currency: 'PYUSD',
      plan: 'premium',
      userWallet: '0x...'
    };

    const response = await request(app)
      .post('/api/payments/process')
      .send(paymentRequest)
      .expect(200);

    expect(response.body.success).toBe(true);
    expect(response.body.transactionId).toBeDefined();
  });
});

🚀 Deployment & DevOps

1. Docker Configuration

# Dockerfile
FROM node:18-alpine AS base
WORKDIR /app
COPY package*.json ./
RUN npm ci --only=production

FROM base AS dev
RUN npm ci
COPY . .
CMD ["npm", "run", "dev"]

FROM base AS prod
COPY . .
RUN npm run build
CMD ["npm", "start"]

2. Environment Configuration

# docker-compose.yml
version: '3.8'
services:
  app:
    build: .
    ports:
      - "3000:3000"
    environment:
      - NODE_ENV=production
      - DATABASE_URL=postgresql://user:pass@db:5432/geeksocial
      - REDIS_URL=redis://redis:6379
    depends_on:
      - db
      - redis

  db:
    image: postgres:15
    environment:
      - POSTGRES_DB=geeksocial
      - POSTGRES_USER=user
      - POSTGRES_PASSWORD=pass
    volumes:
      - postgres_data:/var/lib/postgresql/data

  redis:
    image: redis:7-alpine
    ports:
      - "6379:6379"

🎯 Notable Technical Achievements

1. AI Content Optimization

Platform-Specific Prompts: Custom prompts for each social media platform
Engagement Prediction: AI-powered scoring system for content performance
Batch Processing: Efficient content generation for multiple posts
Real-Time Analysis: Live content optimization and suggestions

2. Blockchain Integration

PYUSD Integration: Seamless stablecoin payments on Base network
Wallet Connection: MetaMask and WalletConnect support
Transaction Verification: Blockchain-based payment confirmation
Gas Optimization: Efficient transaction batching and optimization

3. Performance Optimizations

Multi-Layer Caching: Memory + Redis caching system
Database Optimization: Prisma ORM with optimized queries
Real-Time Updates: WebSocket integration for live updates
Rate Limiting: API protection and resource management

4. Scalability Features

Microservices Architecture: Modular, scalable design
Horizontal Scaling: Redis clustering and database sharding
CDN Integration: Static asset optimization
Load Balancing: Multiple server instances

🔮 Future Technical Enhancements

Phase 2: Advanced AI Integration

ASI Alliance Agents: Autonomous content management
MeTTa Knowledge Graphs: Enhanced content optimization
Multi-Agent Communication: Coordinated content strategies

Phase 3: Cross-Chain Integration

Avail Nexus SDK: Multi-chain content distribution
Bridge & Execute: Automated cross-chain operations
Intent-Based Architecture: User-centric transaction flows

Phase 4: Data Monetization

Lighthouse Storage: Encrypted content storage
Data Coins: Content insights monetization
NFT Integration: Content ownership and trading

Built with cutting-edge technology for the future of social media content creation! 🚀