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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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Kiro AI
✓ verifiedFreemium
Kiro is a spec-driven agentic coding tool for IDE, CLI and web that turns prompts into specs and catches bugs with property-based tests.
3.8M visits/mo
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Airtable AI
✓ verifiedFreemium
No-code app-building platform with AI for data and workflow automation.
27M visits/mo
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Coda AI
✓ verifiedFreemium
Category-defining collaborative doc/app workspace with AI.
2.6M visits/mo3.7K saves
Pricing
No public pricing
No public pricing
Free: $0/mo (50 credits)
Pro: $20/user/mo (1,000 credits)
Pro+: $40/user/mo (2,000 credits)
Pro Max: $100/user/mo (5,000 credits)
Power: $200/user/mo (10,000 credits)
No public pricing
Free: Free
Pro: $10/month per Doc Maker
Team: $30/month per Doc Maker
Enterprise: Custom
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)
- ✦Spec-driven development (requirements, design, tasks)
- ✦Parallel agents, local or cloud
- ✦Property-based and correctness testing
- ✦Works in IDE, CLI, web and mobile
- ✦Multiple models (Claude, open-weight, Auto)
- ✦Headless CLI for CI/CD
- ✦Context from tools like Figma and Terraform
- ✦No-code app building
- ✦AI-powered data analysis and automation
- ✦Integration with popular tools
- ✦Customizable interfaces and views
- ✦Collaboration features
- ✦All-in-one document creation and collaboration
- ✦AI-powered assistance
- ✦Integration with 600+ tools
- ✦Customizable templates and solutions
- ✦Maker Billing pricing model
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
- →Turning prompts into maintainable, spec-matched code
- →Catching bugs unit tests miss
- →Reviewing PRs and fixing bugs in CI/CD
- →Product development cycle management
- →Marketing campaign creation and tracking
- →Operations data and process organization
- →Project management across departments
- →Human resources process streamlining
- →Sales workflow optimization
- →Financial request streamlining and budget management
- →Product team hub
- →Decision doc
- →Sales team hub
- →Engineering team hub
- →Hiring hub
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