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✓ verifiedFreemium
Open-source AI coding assistant offering autocomplete and chat in IDEs; the company was acquired by Cursor.
👁 775K/mo
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SQLAI.ai
✓ verifiedPaid
AI SQL toolkit for analysts and developers to generate, optimize, validate, format and explain queries across 30+ database engines.
👁 26K/mo♥ 2.7K
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Line0
✓ verifiedFreemium
AI pair programmer that generates production-ready backend APIs from natural language and syncs code to GitHub.
👁 746/mo
Pricing
No public pricing
No public pricing
Hobby: $4/mo (50 queries/month)
Starter: $6/mo (200 queries/month)
Explorer: $10/mo (1,000 queries/month)
Pro: $20/mo (3,000 queries/month)
Free trial available
Free: $0/mo (daily limits, public projects)
Plus: $17/mo (150 messages/mo, private projects)
Pro: $85/mo (2000 messages/mo)
Core features
- ✦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)
- ✦Open-source AI code assistant
- ✦Customizable autocomplete
- ✦In-editor AI chat
- ✦Community-built coding agent
- ✦Natural-language to SQL/NoSQL query generation
- ✦AI-driven query optimization with rewrite suggestions
- ✦Syntax validation with automated error fixes
- ✦Query formatting and cross-engine conversion
- ✦Schema-aware data source connections with autosuggest
- ✦Rule-based guardrails per connected data source
- ✦Support for large schemas with 900+ tables
- ✦Natural-language backend and API generation
- ✦Tab-to-prompt autocomplete and Enhance
- ✦In-browser code editor
- ✦Feature-based project chats
- ✦2-way GitHub sync
- ✦Built-in API client with live DB preview (coming soon)
Use cases
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →Get AI code completions while coding
- →Ask questions about code in the editor
- →Build on an open-source coding-agent foundation
- →Analysts writing SQL without deep query-syntax knowledge
- →Developers debugging and optimizing slow queries
- →Teams standardizing SQL formatting across a codebase
- →Migrating queries between database engines
- →Learners wanting plain-language explanations of SQL statements
- →Spin up backend services quickly
- →Prototype and test APIs without local setup
- →Keep generated code synced with GitHub
- →Build backends without heavy boilerplate
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