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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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Explo
✓ verifiedPaid
Embedded analytics platform for building customer-facing dashboards, AI self-service reports and data sharing inside your own product.
58K visits/mo
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Supernova.io
✓ verifiedFreemium
Design-system platform that packages tokens, code components, and rules into scoped context for AI coding agents.
93K visits/mo
Pricing
No public pricing
No public pricing
No public pricing
Pro: $35/mo per full seat (up to 15 seats, billed monthly)
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
- ✦Embeddable customer-facing dashboards
- ✦AI self-service report builder
- ✦Data sharing and exports
- ✦Emailed reports
- ✦Global datasets modeling
- ✦Direct database connections
- ✦Scoped MCP context distribution to multiple AI coding tools
- ✦Design token and component API management
- ✦Collaborative documentation with analytics
- ✦Figma and Storybook data source integration
- ✦Feedback loop for improving AI context quality
- ✦Skill and exporter management for agent capabilities
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
- →Add analytics to a SaaS product
- →Give customers self-service reports
- →Share data securely with users
- →Ship dashboards without heavy dev work
- →Product teams giving AI coding agents accurate design-system context
- →Design system managers publishing a single source of truth
- →Engineering teams reducing token usage by scoping agent context per team
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