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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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Qoder
✓ verifiedFreemium
Agentic AI platform with a coding desktop app, CLI, and cloud agents for autonomous software development and office work.
2.7M visits/mo32K saves
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DeepWiki
✓ verifiedFree
Free tool that auto-generates conversational, browsable documentation for any public GitHub repo, from the makers of Devin.
1.2M visits/mo
Pricing
Foundation: $13 per user per month (annually)
Growth: $25 per user per month (annually)
Pro: $42 per user per month (annually)
Business: $59 per user per month (annually)
Enterprise: $79 per user per month (annually)
No public pricing
No public pricing
Free trial available
No public pricing
No public pricing
Core features
- ✦Sales automation
- ✦Email and calendar syncing
- ✦Pipeline management
- ✦Reporting and analytics
- ✦Marketing automation
- ✦Engagement tools
- ✦Open-source AI code assistant
- ✦Customizable autocomplete
- ✦In-editor AI chat
- ✦Community-built coding agent
- ✦Multi-agent collaboration for end-to-end tasks
- ✦Persistent memory and custom rules
- ✦Extensible skills and plugins
- ✦Rich context across code, images, and directories
- ✦Automatic codebase documentation generation
- ✦Terminal-native CLI and JetBrains IDE plugin
- ✦Cloud-hosted agents for enterprise use
- ✦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)
- ✦AI-generated documentation for GitHub repos
- ✦Conversational Q&A about a codebase
- ✦Browsable index of popular repositories
- ✦Deep code indexing via Devin
Use cases
- →Managing customer relationships and interactions
- →Automating sales tasks to improve efficiency
- →Tracking sales performance and forecasting revenue
- →Creating targeted email marketing campaigns
- →Engaging with leads and customers through web chat and SMS
- →Get AI code completions while coding
- →Ask questions about code in the editor
- →Build on an open-source coding-agent foundation
- →Autonomous feature development in large codebases
- →Terminal-based AI pair programming
- →Cross-department task automation for legal, finance, HR
- →Onboarding developers to unfamiliar codebases
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →Understanding an unfamiliar codebase quickly
- →Onboarding to open-source projects
- →Answering questions about repo internals
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