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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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Base44
✓ verifiedFreemium
No-code AI platform that builds full-stack apps, websites and agents from plain-language prompts with hosting built in.
18M visits/mo
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Artificial Analysis
✓ verifiedFreemium
Independent benchmarks comparing AI models and API providers on intelligence, speed, and cost across many leaderboards.
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DataRobot
✓ verifiedPaid
Enterprise platform to build, run and govern AI agents and ML models across cloud, on-prem and hybrid environments.
2.6K saves
Pricing
No public pricing
No public pricing
Free: $0
Starter: $16/mo
Builder: $40/mo
Pro: $80/mo
Elite: $160/mo
No public pricing
No public pricing
Free trial available
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)
- ✦Prompt-to-app full-stack generation
- ✦Built-in backend, database and auth
- ✦One-click integrations (Slack, Notion, HubSpot, etc.)
- ✦Instant hosting and custom domains
- ✦Superagents for automated workflows
- ✦GitHub sync and code export
- ✦Intelligence Index across many benchmarks
- ✦Model speed and cost comparisons
- ✦Coding, speech, image, and video leaderboards
- ✦Provider performance analysis
- ✦Personalized model recommender
- ✦Premium data and reports
- ✦Agent workforce build/run/govern platform
- ✦Generative and predictive AI
- ✦AI governance and observability
- ✦Deploy on-prem, hybrid or cross-cloud
- ✦Prebuilt agents and blueprints
- ✦NVIDIA and SAP integrations
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
- →Building internal tools and dashboards
- →Launching websites and landing pages
- →Creating customer portals and CRMs
- →Deploying AI agents that automate tasks
- →Choosing an AI model or provider
- →Tracking frontier model progress
- →Comparing price and performance
- →Build enterprise AI agents
- →Deploy and monitor ML models
- →Govern AI across the organization
- →Run AI in regulated/complex environments
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