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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.
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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
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Gemini Code Assist
✓ verifiedFreemium
Google's AI coding assistant for code completion, generation, chat and review across IDEs and GitHub.
559K visits/mo
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Quadratic Multiplayer
✓ verifiedFreemium
AI-native spreadsheet connecting live databases and files, letting teams query and chart data with AI, Python, or SQL.
119K visits/mo
Pricing
No public pricing
No public pricing
No public pricing
No public pricing
Pro: $18/user/month billed annually ($20 AI credits/mo)
Business: $36/user/month billed annually (2x AI credits)
Core features
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- ✦Natural language to SQL conversion
- ✦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
- ✦AI code completion and suggestions
- ✦Natural-language code generation
- ✦In-IDE chat assistance
- ✦AI code review
- ✦IDE integrations (VS Code, JetBrains, etc.)
- ✦GitHub integration
- ✦Connects to Postgres, MySQL, Snowflake, BigQuery and other live databases
- ✦Imports CSV, Excel and PDF files alongside database connections
- ✦AI agent writes formulas, code and charts from plain-English prompts
- ✦Supports Python, SQL, formulas and JavaScript in the same sheet
- ✦Built-in connectors for QuickBooks, Google Analytics, Mixpanel and Plaid
- ✦MCP support so external AI agents can read/write spreadsheet cells
- ✦REST API for triggering AI runs and manipulating cells programmatically
- ✦Scheduled tasks and PDF data extraction
Use cases
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- →Generating SQL queries from text descriptions.
- →Build web apps without coding
- →Prototype product ideas quickly
- →Create landing pages and sites
- →Ship internal tools
- →Speeding up coding with AI completions
- →Generating code from plain-language prompts
- →Getting in-editor help and explanations
- →Reviewing pull requests with AI
- →Understanding unfamiliar codebases
- →Finance teams building recurring, auditable financial reports
- →Analysts combining multiple data sources into one live dashboard
- →Traders and investors tracking market and portfolio data
- →Product and sales teams generating forecasts and charts without formulas
- →Teams wanting an AI agent to verify and edit spreadsheet work directly
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