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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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GitFluence
✓ verifiedFree
Free AI helper that turns a plain-English description of a task into the matching Git command to copy and run.
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forms app
✓ verifiedPaid
Established online form/survey/quiz builder with automation; very high traffic.
1.1M visits/mo4.2K saves
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Ai2sql
✓ verifiedFreemium
Text-to-SQL tool that writes dialect-aware queries and gives AI agents governed, read-only database access.
9.0K saves
Pricing
No public pricing
No public pricing
Basic: 15 USD /month
Pro: 25 USD /month
Premium: 59 USD /month
No public pricing
Start: $5/mo
Pro: $11/mo (unlimited queries)
Team: $23/mo (5 users)
Free trial available
Core features
- ✦Open-source AI code assistant
- ✦Customizable autocomplete
- ✦In-editor AI chat
- ✦Community-built coding agent
- ✦Natural-language to Git command suggestions
- ✦AI-driven command matching
- ✦Copy-ready command output
- ✦Git guides and reference
- ✦Form Builder
- ✦Survey Maker
- ✦Quiz Maker
- ✦Store Builder
- ✦AI Form Generator
- ✦500+ Integrations
- ✦Template Library
- ✦Data Analysis Tools
- ✦Workflow Automation
- ✦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
- ✦Semantic schema layer
- ✦Governed MCP/REST gateway
- ✦Read-only query enforcement
- ✦7 database connectors
- ✦SQL explain, optimize and format
Use cases
- →Get AI code completions while coding
- →Ask questions about code in the editor
- →Build on an open-source coding-agent foundation
- →Find the correct Git command quickly
- →Learn Git syntax by describing a goal
- →Avoid memorizing Git flags
- →Collecting customer feedback
- →Conducting market research
- →Creating online quizzes for education or entertainment
- →Selling products through online forms
- →Automating business processes
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →Generating SQL without coding
- →Giving agents safe DB access
- →Explaining and fixing queries
- →Querying live databases
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