Build and test complete SaaS applications with AI assistance on $80 hardware
Democratizing AI-driven development for the global audience with limited budgets

The Old Way: Enterprise AI development required $50,000+ workstations, excluding 95% of global developers

The New Way: A $480 Raspberry Pi setup that gives you the same AI capabilities as Silicon Valley startups

Financial Barrier Removed: What cost $50K now costs $480 (99% reduction) Global Access: Affordable in every country, not just Silicon Valley No-Code Revolution: AI builds your SaaS while you focus on customers Complete Automation: From idea to deployed app without manual coding Instant Testing: AI tests every feature before your users see it

• International Entrepreneurs: Access Silicon Valley AI tools on local budgets
• Students & Educators: Learn modern AI development without debt
• Side Hustlers: Build SaaS products while keeping your day job
• Solo Founders: Complete development team in a $80 device
• Small Teams: Compete with venture-funded startups
• Remote Communities: AI development anywhere with internet

E-commerce Tools

• Price monitoring across thousands of competitors
• Product research and market analysis
• Automated inventory tracking
• Customer sentiment analysis from reviews

Business Intelligence

• Social media monitoring dashboards
• SEO rank tracking services
• Lead generation and qualification
• Competitor analysis platforms

Automation Services

• Website uptime monitoring
• Content verification and compliance
• Data entry and processing
• Form filling and submission services

Marketing Solutions

• A/B testing platforms
• Landing page optimization
• Email campaign monitoring
• Social proof collection

1. Describe Your Idea: "I want to monitor competitor prices"
2. AI Writes the Code: Claude builds the scraping logic
3. AI Tests Everything: Automated browser testing ensures it works
4. Deploy & Scale: Your SaaS is ready for customers
5. Profit: Focus on marketing while AI maintains the product

No-Code SaaS Development

• Describe your app idea in plain English
• AI writes, tests, and deploys your application
• Focus on customers, not coding
• Launch in days, not months

Massive Cost Reduction

• $480 vs $50,000+ for traditional AI development
• Same capabilities as Silicon Valley startups
• No recurring cloud bills or licensing fees
• Own your development infrastructure

Global Accessibility

• Works anywhere with internet connection
• Affordable in every country and currency
• No technical background required
• Complete tutorials and examples included

Instant Results

• See your SaaS working in real-time
• AI tests every feature automatically
• No debugging or technical troubleshooting
• Deploy to customers the same day

Never set up a Raspberry Pi before? COMPLETE SETUP GUIDE - Step-by-step from zero to SaaS builder in 30 minutes!

# Install system dependencies
sudo apt update
sudo apt install chromium-browser nodejs npm python3

# Verify Chromium works
chromium-browser --version

git clone https://github.com/nfodor/claude-arm64-browser
cd claude-arm64-browser
npm install
chmod +x *.py *.sh

# Verify it works immediately after install:
python3 -c "import sys; sys.path.append('.'); import arm64_browser; print('[OK] ARM64 Browser Works!' if 'error' not in arm64_browser.navigate('https://example.com').lower() else '[FAIL] Failed')"

Expected Result: [OK] ARM64 Browser Works!

# Quick demo with immediate visible results (30 seconds)
python3 instant_demo.py

# Or comprehensive demo showing all capabilities (2-3 minutes)
./run_demo.sh

# Test MCP server directly
echo '{"jsonrpc":"2.0","method":"tools/list","id":1}' | node index.js

# Test Python wrapper
python3 simple_browser.py

# Install Claude CLI if you haven't already
npm install -g @anthropic/claude-cli

# From the project directory after cloning
claude mcp add chromium-arm64 "$(pwd)/mcp-wrapper.sh" --scope user

claude mcp list
# Should show: chromium-arm64: /path/to/mcp-wrapper.sh - ✓ Connected

You MUST start a new Claude session after adding the MCP server:

# Exit current session if in one
exit
# Start fresh session
claude

Ask Claude to use the chromium-arm64 tools:

List available MCP servers and use chromium-arm64 to navigate to https://example.com

Take a screenshot using the chromium-arm64 tool

Use chromium-arm64 to click the button with selector #submit

Fill the email field using chromium-arm64 with [email protected]

Be explicit to avoid Playwright/Puppeteer:

• "Use chromium-arm64 to navigate..."
• "Using the chromium-arm64 tool, take a screenshot"
• "Open a browser" (might try broken Playwright)
• "Take a screenshot" (might try broken Puppeteer)

When working correctly, you'll see:

You: Use chromium-arm64 to navigate to https://httpbin.org/json and show me what you see

Claude: I'll navigate to https://httpbin.org/json using the chromium-arm64 tool.

[Uses chromium-arm64.navigate tool]

The page displays a JSON object with a slideshow structure containing:
- Author: "Yours Truly"
- Date: "date of publication"
- Title: "Sample Slide Show"
...

import simple_browser

# Navigate to any website
result = simple_browser.browser_navigate("https://example.com")
print(result)  # "Successfully navigated to https://example.com"

# Take a screenshot
screenshot = simple_browser.browser_screenshot("homepage.png")
print(screenshot)  # "Screenshot saved to /tmp/homepage.png"

# Execute JavaScript
title = simple_browser.browser_evaluate("document.title")
print(title)  # Website title

# Extract page content
content = simple_browser.browser_get_content("text")
print(content[:100])  # First 100 chars of page text

Once configured, use these tools directly in Claude Code:

• navigate - Go to URLs
• screenshot - Capture page images
• click - Click elements by CSS selector
• fill - Fill form fields
• evaluate - Execute JavaScript
• get_content - Extract page HTML/text
• close_browser - Clean shutdown

# Complete user journey testing - NO HUMAN DEBUGGING NEEDED
def test_saas_signup_flow():
    # Navigate to signup page
    simple_browser.browser_navigate("https://yourapp.com/signup")
    
    # Fill registration form
    simple_browser.browser_fill("#email", "[email protected]")
    simple_browser.browser_fill("#password", "securepass123")
    simple_browser.browser_click("#signup-btn")
    
    # Verify successful signup
    success_msg = simple_browser.browser_evaluate("document.querySelector('.success-message').textContent")
    
    # Test dashboard access
    simple_browser.browser_navigate("https://yourapp.com/dashboard")
    dashboard_loaded = simple_browser.browser_evaluate("document.querySelector('.dashboard').style.display !== 'none'")
    
    # Take screenshot for visual regression
    simple_browser.browser_screenshot("dashboard_post_signup.png")
    
    return "PASS" if success_msg and dashboard_loaded else "FAIL"

# Backend API validation through frontend
def validate_api_through_ui():
    # Test data creation via UI
    simple_browser.browser_navigate("https://yourapp.com/create-project")
    simple_browser.browser_fill("#project-name", "Test Project AI")
    simple_browser.browser_click("#create-btn")
    
    # Verify data appears in list view
    simple_browser.browser_navigate("https://yourapp.com/projects")
    project_exists = simple_browser.browser_evaluate("document.querySelector('[data-project=\"Test Project AI\"]') !== null")
    
    # Test data modification
    simple_browser.browser_click("[data-project=\"Test Project AI\"] .edit-btn")
    simple_browser.browser_fill("#project-name", "Modified by AI")
    simple_browser.browser_click("#save-btn")
    
    # Verify backend persistence
    simple_browser.browser_navigate("https://yourapp.com/projects")
    updated = simple_browser.browser_evaluate("document.querySelector('[data-project=\"Modified by AI\"]') !== null")
    
    return {"api_create": project_exists, "api_update": updated}

# Automated cross-platform testing
def test_responsive_design():
    test_results = {}
    
    # Mobile viewport
    simple_browser.browser_evaluate("window.resizeTo(375, 667)")  # iPhone size
    simple_browser.browser_navigate("https://yourapp.com")
    simple_browser.browser_screenshot("mobile_view.png")
    mobile_nav = simple_browser.browser_evaluate("document.querySelector('.mobile-nav').style.display !== 'none'")
    
    # Desktop viewport  
    simple_browser.browser_evaluate("window.resizeTo(1920, 1080)")
    simple_browser.browser_screenshot("desktop_view.png")
    desktop_nav = simple_browser.browser_evaluate("document.querySelector('.desktop-nav').style.display !== 'none'")
    
    return {"mobile_responsive": mobile_nav, "desktop_responsive": desktop_nav}

# Monitor competitor pricing
simple_browser.browser_navigate("https://competitor.com/pricing")
simple_browser.browser_screenshot("competitor_pricing.png")
prices = simple_browser.browser_evaluate("document.querySelectorAll('.price').length")

# Check search rankings
simple_browser.browser_navigate("https://google.com/search?q=your+keywords")
simple_browser.browser_screenshot("serp_results.png")
rankings = simple_browser.browser_evaluate("document.querySelector('.g').textContent")

Every SaaS startup MUST ensure their application works end-to-end before shipping. Traditional approaches fail because:

• ** Manual Testing**: Expensive, slow, error-prone, doesn't scale
• ** x86_64 Only Tools**: Puppeteer/Playwright fail on ARM64 with broken binaries
• ** Human Debugging**: QA teams spend days debugging test failures
• ** Limited Coverage**: Can't test every user journey without massive teams
• ** Regression Blind Spots**: Changes break existing features without detection

• Zero Human Debugging: AI agents test complete user flows autonomously
• 24/7 Continuous Testing: Always-on validation on budget hardware
• Full Stack Coverage: Frontend + Backend + API validation through real browser
• Visual Regression Detection: Screenshots catch UI breaking changes automatically
• Cross-Device Testing: Mobile/tablet/desktop viewport automation
• Native ARM64: Uses system Chromium instead of broken x86_64 binaries
• Cost Effective: $480 setup vs $50K+ traditional QA infrastructure

Before: Manual QA teams → Expensive → Slow → Human errors → Limited coverage

Deploy → Hope → Customer finds bugs → Emergency fixes → Reputation damage

After: AI agents → Autonomous → Fast → Comprehensive → 24/7 monitoring

Code → AI tests everything → Deploy with confidence → Happy customers

Standard browser automation fails on ARM64 because Puppeteer/Playwright download x86_64 binaries that don't run. Our solution:

• Uses system-installed Chromium (native ARM64)
• Proper launch flags for headless ARM64 operation
• MCP protocol compliance for Claude Code integration
• Zero dependency on pre-built browser binaries

graph TB
    A[Claude Code] --> B[MCP Protocol]
    B --> C[ARM64 Browser Server]
    C --> D[System Chromium]
    D --> E[Web Pages]
    
    F[Python Tools] --> C
    G[Direct CLI] --> C

• OS: Raspberry Pi OS (64-bit) or any ARM64 Linux
• RAM: 4GB minimum, 8GB recommended
• Storage: 32GB+ fast SD card (Class 10/A2)
• Browser: Chromium (installed via apt)
• Runtime: Node.js 18+, Python 3.8+

// Optimized for ARM64
{
  executablePath: '/usr/bin/chromium-browser',
  headless: true,
  args: [
    '--no-sandbox',
    '--disable-setuid-sandbox', 
    '--disable-dev-shm-usage',
    '--disable-gpu',
    '--disable-web-security',
    '--disable-features=VizDisplayCompositor'
  ]
}

chromium-arm64 shows "✗ Failed to connect"

# Check if the wrapper script exists and is executable
ls -la $(pwd)/mcp-wrapper.sh
chmod +x mcp-wrapper.sh

# Test the server directly
echo '{"jsonrpc":"2.0","method":"tools/list","id":1}' | node index.js

# Re-add with correct path
claude mcp remove chromium-arm64
claude mcp add chromium-arm64 "$(pwd)/mcp-wrapper.sh" --scope user

# IMPORTANT: Restart Claude
exit
claude

Claude tries to use Playwright/Puppeteer instead

• Be explicit: Always mention "chromium-arm64" in your prompts
• Check available servers: claude mcp list
• If chromium-arm64 isn't listed, restart Claude

"Server not found" in Claude session

• MCP servers are loaded at startup
• Always restart Claude after adding/modifying MCP servers
• Run claude mcp list to verify before starting

Browser won't start

# Check Chromium installation
which chromium-browser
chromium-browser --version

# Test headless mode
chromium-browser --headless --disable-gpu --dump-dom https://example.com

MCP connection fails

# Verify Claude Code MCP setup
claude mcp list

# Test server manually
echo '{"jsonrpc":"2.0","method":"tools/list","id":1}' | node index.js

Memory issues

# Monitor system resources
htop

# Optimize Chromium memory usage
# Add to browser args: '--memory-pressure-off', '--max_old_space_size=512'

Build a complete AI-powered development environment for less than a high-end graphics card:

• Portable AI Workstation: Desktop-class performance in a 4"×3" footprint
• Claude Sonnet 4 Access: Latest AI model with 200K context window
• Browser Automation: Web scraping, testing, monitoring capabilities
• 24/7 Operation: Always-on AI assistant and automation
• Low Power: 15W total system power (vs 500W+ traditional setup)
• Silent Operation: No fans, completely quiet
• Touch Interface: Direct interaction with built-in display

• ** Autonomous Testing**: AI agents test entire SaaS flows without human debugging - saves 40+ hours/week
• ** Continuous Validation**: 24/7 monitoring ensures your app works before customers find bugs
• ** QA Cost Savings**: Replace expensive manual testing teams with automated AI validation
• ** Faster Shipping**: Deploy with confidence knowing AI has tested all user journeys
• ** Zero Regression**: Automated visual and functional testing prevents breaking changes
• ** Market Research**: Automated competitor analysis saves 20+ hours/week
• ** Customer Support**: AI-powered response generation and testing
• ** Content Creation**: Automated social media monitoring and content ideas
• ** Product Development**: AI-assisted coding and rapid prototyping

We welcome contributions! This project democratizes AI access for startups and makers.

• Mobile browser support (Android/iOS testing)
• Additional MCP tools and integrations
• Performance optimizations for Pi Zero/smaller devices
• UI/UX improvements for touch interface
• Tutorial content and use-case examples

git clone https://github.com/nfodor/claude-arm64-browser
cd claude-arm64-browser
npm install
# No development server needed - ready to use!

MIT License - feel free to use in commercial projects!

• Anthropic for Claude Code and MCP protocol
• Raspberry Pi Foundation for democratizing computing
• Chromium Project for ARM64 browser support
• Open Source Community for making this possible

• Issues: GitHub Issues
• Discussions: GitHub Discussions
• Email: [email protected]
• Repository: github.com/nfodor/claude-arm64-browser

Star this repo if it helps your startup leverage AI on a budget!
Every star helps more developers discover affordable AI solutions

¹ Pricing as of 2025 (USD, approximate):

• Raspberry Pi 5 16GB: $180 (official MSRP)
• Pi Display 2 (11.9" Touch): $120 (official accessory)
• Official 27W USB-C PSU: $25 (recommended for Pi 5)
• SanDisk Extreme 128GB A2: $35 (high-speed micro SD)
• Claude Code Pro: $40/month (2-month startup period)
• Case & Cables: $40 (official case + HDMI/USB accessories)

Prices may vary by region and availability. Check official retailers for current pricing.

_{Built with ❤️ for the maker and startup community}