Now powered by Google Vertex AI with Gemini 2.5 Pro & Flash models!

An advanced AI-driven platform that automates the entire journey from idea discovery to multi-project management. Built for Google Cloud with scalable SaaS architecture in mind.

The IdeaGen App is a comprehensive automation platform that:

• Generates business ideas using Google's Gemini 2.5 Pro model
• Validates ideas through AI-powered multi-criteria analysis
• Selects viable projects automatically based on scoring
• Builds websites and launches social campaigns
• Tracks performance and scales successful projects
• Manages multiple projects simultaneously with AI insights

• Gemini 2.5 Pro: High-performance model for complex idea generation and validation
• Gemini 2.5 Flash-Nano-Banana: Ultra-fast model for quick content generation and analysis

• Idea Generation: Gemini 2.5 Pro (comprehensive analysis)
• Idea Validation: Gemini 2.5 Pro (detailed scoring)
• Content Creation: Gemini 2.5 Flash-Nano-Banana (fast generation)
• Quick Analysis: Gemini 2.5 Flash-Nano-Banana (real-time insights)

ideaGen-app/
├── integrations/           # Google Cloud integrations
│   └── vertex-ai-client.js # Vertex AI client
├── workflows/             # n8n workflow definitions
│   ├── 01-idea-generation/
│   ├── 02-validation/
│   ├── 03-selection/
│   └── ...
├── deploy/                # Google Cloud deployment
│   └── google-cloud-deploy.sh
├── config/               # Configuration files
│   ├── environment.json
│   └── google-cloud-deployment.json
├── database/             # PostgreSQL schema
├── server.js             # Main application server
├── Dockerfile            # Container deployment
└── package.json          # Dependencies

• Google Cloud Project with billing enabled
• Google Cloud SDK installed and configured
• Docker installed locally
• Node.js 18+

# 1. Clone and setup
git clone <repository>
cd ideaGen-app

# 2. Set environment variables
export GOOGLE_CLOUD_PROJECT_ID=your-project-id
export GOOGLE_CLOUD_LOCATION=us-central1
export GOOGLE_APPLICATION_CREDENTIALS=path/to/service-account.json

# 3. Run deployment script
./deploy/google-cloud-deploy.sh

# 1. Enable required APIs
gcloud services enable run.googleapis.com sql-component.googleapis.com aiplatform.googleapis.com

# 2. Build and deploy
gcloud builds submit --tag gcr.io/PROJECT_ID/idea-gen
gcloud run deploy idea-gen --image gcr.io/PROJECT_ID/idea-gen --platform managed

# 3. Configure secrets
gcloud secrets create idea-gen-db-password --replication-policy="automatic"

Create .env file:

# Google Cloud Configuration
GOOGLE_CLOUD_PROJECT_ID=your-project-id
GOOGLE_CLOUD_LOCATION=us-central1
GOOGLE_SERVICE_ACCOUNT_EMAIL=service-account@project.iam.gserviceaccount.com
GOOGLE_PRIVATE_KEY="-----BEGIN PRIVATE KEY-----\n..."
GOOGLE_APPLICATION_CREDENTIALS=path/to/credentials.json

# Database (for local development)
POSTGRES_HOST=localhost
POSTGRES_PORT=5432
POSTGRES_DB=idea_engine
POSTGRES_USER=postgres
POSTGRES_PASSWORD=your_password

# API Keys
PRODUCTHUNT_API_KEY=...
SERP_API_KEY=...
GITHUB_TOKEN=...
NETLIFY_TOKEN=...

# Install dependencies
npm install

# Start locally
npm run dev

# Test Vertex AI integration
npm run local:test

# Deploy to Google Cloud
npm run deploy

• POST /api/ideas/generate - Generate ideas using Gemini 2.5 Pro
• POST /api/ideas/validate - Validate ideas with AI analysis
• POST /api/content/generate - Generate content with Flash model
• POST /api/analysis/quick - Quick text analysis
• POST /api/test/vertex-ai - Test Vertex AI connection

// Generate business ideas
const response = await fetch('/api/ideas/generate', {
  method: 'POST',
  headers: { 'Content-Type': 'application/json' },
  body: JSON.stringify({
    sources: ['trends', 'reddit', 'producthunt'],
    count: 10,
    trends: [
      { title: 'AI Automation', description: 'Growing trend in AI tools' }
    ]
  })
});

// Validate an idea
const validation = await fetch('/api/ideas/validate', {
  method: 'POST',
  headers: { 'Content-Type': 'application/json' },
  body: JSON.stringify({
    idea: {
      title: 'AI-Powered Customer Service',
      description: 'Automated customer support platform'
    }
  })
});

• AI Model: Gemini 2.5 Pro
• Features:
  • Fetches trends from Reddit, Product Hunt, Google Trends
  • Generates 10-20 high-quality business ideas using AI
  • Stores ideas with AI-generated metadata
  • Intelligent categorization and tagging

• AI Model: Gemini 2.5 Pro
• Validation Metrics:
  • Market demand analysis (AI-powered)
  • Competition assessment with AI insights
  • Technical feasibility scoring
  • Revenue potential calculation
  • Time to market estimation
• Output: Comprehensive validation report (0-100 score)
• Auto-progression: Ideas scoring 70+ proceed automatically

• Selection System with AI recommendations
• Project Initializer with AI-generated documentation
• Website Builder with AI copywriting
• Social Automation with AI content generation
• Analytics Dashboard with AI insights
• Multi-Project Orchestrator with AI optimization

• AI-Powered: Google's most advanced Gemini models
• Cloud-Native: Built for Google Cloud scalability
• Secure: Secret Manager integration
• Scalable: Cloud Run with auto-scaling
• Reliable: Built-in retry logic and error handling
• Data-Driven: PostgreSQL with intelligent indexing
• Integration Ready: Supports Elastic + Fivetran challenges

• AI-powered search: Find ideas using semantic search
• Real-time analytics: Track idea performance metrics
• Advanced filtering: Filter by AI-generated scores and tags

• Multi-source connectors: Reddit, Product Hunt, Google Trends APIs
• Automated pipelines: Continuous data ingestion
• AI-enhanced transformation: Intelligent data processing

• Vertex AI: State-of-the-art AI models
• Cloud Run: Serverless deployment
• Cloud SQL: Managed database
• Secret Manager: Secure credential storage

• Idea Generation: ~3 seconds per 10 ideas (Gemini 2.5 Pro)
• Validation: ~2 seconds per idea (Gemini 2.5 Pro)
• Content Generation: ~1 second (Flash-Nano-Banana)
• Quick Analysis: ~500ms (Flash-Nano-Banana)
• Scalability: Handles 100+ concurrent requests

• Backend: Node.js, Express
• AI: Google Vertex AI (Gemini 2.5 Pro & Flash)
• Database: PostgreSQL on Cloud SQL
• Deployment: Google Cloud Run
• Secrets: Google Secret Manager
• Monitoring: Cloud Logging & Monitoring
• Automation: n8n workflows

• API Docs: /api/docs endpoint
• Architecture: config/google-cloud-deployment.json
• Database Schema: database/schema.sql
• Deployment Guide: deploy/google-cloud-deploy.sh

This project provides a foundation for:

1. AI integration with Google Vertex AI
2. Google Cloud deployment
3. API-first architecture
4. Elastic search integration opportunity
5. Fivetran connector development opportunity

MIT License - Open source implementation

Built with Google Cloud, Vertex AI, and cutting-edge AI technology

Optimized for Google Cloud x Elastic x Fivetran integration challenges.