๐ No-Code AI SaaS Builder for Everyone
Build and test complete SaaS applications with AI assistance on $80 hardware. Democratizing AI-driven development for the global audience with limited budgets.
๐ Quick Start
Complete Beginner Guide
Never set up a Raspberry Pi before? COMPLETE SETUP GUIDE - Step-by-step from zero to SaaS builder in 30 minutes!
Prerequisites
# Install system dependencies
sudo apt update
sudo apt install chromium-browser nodejs npm python3
# Verify Chromium works
chromium-browser --version
Installation
git clone https://github.com/nfodor/claude-arm64-browser
cd claude-arm64-browser
npm install
chmod +x *.py *.sh
Quick Test (One-Liner)
# 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!
>>> Run the Kick-Ass Demo
# 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 the Setup
# Test MCP server directly
echo '{"jsonrpc":"2.0","method":"tools/list","id":1}' | node index.js
# Test Python wrapper
python3 simple_browser.py
โจ Features
The Revolution: AI Development for Everyone
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.
Why This Changes Everything
- 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.
Perfect For the Global Maker Movement
- 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.
What You Can Build (No Coding Required!)
AI-Driven SaaS Ideas That Actually Work
- 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.
The Magic: AI Does the Heavy Lifting
- Describe Your Idea: "I want to monitor competitor prices".
- AI Writes the Code: Claude builds the scraping logic.
- AI Tests Everything: Automated browser testing ensures it works.
- Deploy & Scale: Your SaaS is ready for customers.
- Profit: Focus on marketing while AI maintains the product.
What Makes This Special
- 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.
๐ป Usage Examples
Basic Usage
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
Advanced Usage
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.
Real-World Use Cases
1. End-to-End SaaS Testing (The Game Changer)
# 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", "test@example.com")
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"
2. Autonomous API + Frontend Testing
# 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}
3. Cross-Browser Compatibility (Zero Human Intervention)
# 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}
4. Competitive Analysis Automation
# 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")
5. SEO Monitoring
# 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")
๐ง Technical Details
Why ARM64 + Browser Automation = SaaS Gold
The Critical Gap in SaaS Development
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.
Our Breakthrough: Autonomous AI Testing on ARM64
- 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.
Why This Changes SaaS Development Forever
Before: Manual QA teams โ Expensive โ Slow โ Human errors โ Limited coverage
Deploy โ Hope โ Customer finds bugs โ Emergency fixes โ Reputation damage
After: AI agents โ Autonomous โ Fast โ Comprehensive โ 24/7 monitoring
Code โ AI tests everything โ Deploy with confidence โ Happy customers
The ARM64 Advantage
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.
Architecture
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
System Requirements
- 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+.
Browser Configuration
// 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'
]
}
๐ Documentation
Troubleshooting
MCP Connection Issues
- chromium-arm64 shows "โ 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.
Common Issues
- 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'
Complete Startup AI Setup - Under $500
Build a complete AI-powered development environment for less than a high-end graphics card:
Property | Details |
---|---|
Component | Purpose |
Raspberry Pi 5 16GB | Main compute unit |
Official Pi Display 2 | Touch interface |
Official Pi Power Supply | Reliable 27W power |
SanDisk Extreme 128GB A2 | Fast storage |
Claude Code Pro (2 months) | AI development platform |
Case + Cables | Protection & connectivity |
Total | Complete AI Workstation |
What You Get:
- Portable AI Workstation: Desktop-class performance in a 4"ร3" 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.
ROI for Startups:
- 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.
๐ค Contributing
We welcome contributions! This project democratizes AI access for startups and makers.
Areas for Contribution:
- 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.
Development Setup:
git clone https://github.com/nfodor/claude-arm64-browser
cd claude-arm64-browser
npm install
# No development server needed - ready to use!
๐ License
MIT License - feel free to use in commercial projects!
Footnotes
ยน 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.







