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✓ verifiedFreemium
Open-source AI coding assistant offering autocomplete and chat in IDEs; the company was acquired by Cursor.
775K visits/mo
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Text2SQL
✓ verifiedPaid
AI tool that converts natural-language questions into SQL queries, sold via a Lemon Squeezy storefront with tiered pricing.
20K visits/mo14K saves
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Refraction.dev
✓ verifiedFreemium
AI coding assistant for editors and IDEs that explains, refactors, documents, and generates code across 56 languages.
2.8K visits/mo
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Cursor
✓ verifiedFreemium
AI coding agent and editor that understands your codebase, runs autonomous agents and edits across your stack.
4.6M visits/mo102K saves
Pricing
No public pricing
No public pricing
Text2SQL.AI: $7.00-$48.00
Text2SQL.AI Pro: $29.00-$228.00
Free trial available
Hobby: Free (10 code generations, 1 user)
Pro: $8/mo (unlimited generations, editor extensions)
Team: $14/user/mo (multiple members, shared history)
Free trial available
Hobby: Free
Pro (Individual): $20/mo
Teams: $40/user/mo
Core features
- ✦Open-source AI code assistant
- ✦Customizable autocomplete
- ✦In-editor AI chat
- ✦Community-built coding agent
- ✦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)
- ✦Natural language to SQL query generation
- ✦Standard and Pro subscription tiers
- ✦Checkout and billing via Lemon Squeezy
- ✦Bug detection and fix suggestions
- ✦Code and CSS framework conversion
- ✦Unit test and documentation generation
- ✦Regex, SQL query, and CI/CD pipeline generation
- ✦Code explanation and style checking
- ✦Editor extensions for VS Code, Sublime, JetBrains, Visual Studio
- ✦Codebase-aware AI completions and edits
- ✦Autonomous and cloud agents
- ✦Access to frontier models (GPT, Claude, Gemini, Grok)
- ✦CLI, Slack and GitHub integration
- ✦Scheduled automations and triggers
- ✦Team marketplace and enterprise controls
Use cases
- →Get AI code completions while coding
- →Ask questions about code in the editor
- →Build on an open-source coding-agent foundation
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →Generating SQL queries without writing raw syntax
- →Helping non-technical users query databases
- →Speeding up ad hoc data lookups for analysts
- →Generating unit tests for existing functions
- →Refactoring legacy code to modern practices
- →Producing inline documentation automatically
- →Learning new programming languages or concepts via AI explanations
- →AI pair programming
- →Multi-file refactors
- →Autonomous feature building
- →Automated PR reviews and CI fixes
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