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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.

Lovable logo
Lovable
✓ verifiedFreemium

AI app builder that turns chat prompts into working web apps and sites, with credit-based build and deploy.

35M visits/mo69K saves
Opera One Browser logo
Opera One Browser
✓ verifiedFree

Free Chromium-based desktop browser with tab grouping, built-in AI, free VPN, ad blocker and sidebar apps.

Thin 'Lingbot-map' agent listing on github.com with zero traffic; too thin to tell.

5.2K saves
CodeRabbit logo
CodeRabbit
✓ verifiedPaid

AI code review tool with huge adoption; ~870K visits and 1.4M saves.

870K visits/mo1.5M saves
Pricing

No public pricing

No public pricing

No public pricing

Free: $0
Lite: $12
Pro: $24
Enterprise: Talk to us
Core features
  • Chat-to-app and website generation
  • Real-time prototype building
  • One-click deploy and hosting
  • Templates to start projects
  • Credit-based building with shared workspaces
  • You own your code and data
  • Tab Islands for organizing tabs into groups
  • Built-in Opera AI assistant with page context
  • Free VPN and ad blocker
  • Modular sidebar with apps and messengers
  • Split-screen browsing and immersive themes
  • Fast tensor operations
  • Differentiable tensors for gradient-based optimization
  • Network connectivity
  • Integration with Bun and Flashlight
  • Support for GPU computation with CUDA (Linux) and CPU computation (macOS)
  • AI-powered code reviews
  • Contextual line-by-line feedback
  • Critical change flagging
  • Bot interaction
  • Direct commit from GitHub
  • Integration with Jira & Linear
  • Agentic Chat with CodeRabbit
  • Product analytics dashboards
  • Customizable reports
  • Docstrings generation
Use cases
  • Build web apps without coding
  • Prototype product ideas quickly
  • Create landing pages and sites
  • Ship internal tools
  • Browsing with organized tab groups
  • Using AI assistance while browsing
  • Protecting privacy with a free VPN
  • Multitasking with sidebar apps and split screen
  • Creating and manipulating datasets
  • Training small machine learning models
  • Implementing advanced training and inference logic
  • Building applications that require tensor computations
  • Automated code review for pull requests
  • Identifying potential bugs and vulnerabilities
  • Improving code quality and consistency
  • Onboarding new developers with AI-driven guidance
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