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Free tool that auto-generates conversational, browsable documentation for any public GitHub repo, from the makers of Devin.
Open-source AI coding agent for VS Code, JetBrains, CLI and cloud, with 500+ models at zero inference markup and BYOK.
AI social-listening and customer-feedback platform that tracks brand mentions, creators, and sentiment across video-first social platforms.
Agentic coding platform (Cosmos) that runs software-dev agents at org scale, using a codebase context engine to cut token cost.
No public pricing
Free trial available
No public pricing
Free trial available
- ✦AI-generated documentation for GitHub repos
- ✦Conversational Q&A about a codebase
- ✦Browsable index of popular repositories
- ✦Deep code indexing via Devin
- ✦500+ AI models at zero inference markup
- ✦Bring-your-own-keys and local model support
- ✦MIT-licensed, fully open source
- ✦Works in VS Code, JetBrains, CLI and cloud
- ✦Agent modes (Code, Architect)
- ✦Parallel isolated worktrees
- ✦Slack code reviewer and gateway
- ✦Access to a verified and engaged participant pool
- ✦Self-serve platform for easy task setup and launch
- ✦Tools for AI training and evaluation
- ✦Fair compensation for participants
- ✦Audience checker
- ✦Cross-platform social listening including video (TikTok, Reels, Shorts)
- ✦Competitive analysis of rival brands' content and creators
- ✦Speech-to-text and AI vision analysis of video content
- ✦Plain-language query interface for filtering data
- ✦Creator discovery and campaign tracking
- ✦Centralized customer feedback intake with AI tagging and sentiment
- ✦MCP connector for using data inside Claude/ChatGPT workflows
- ✦Context Engine for codebase understanding
- ✦Agents across the full SDLC
- ✦Model routing / bring-your-own-keys
- ✦Automated code review and test coverage
- ✦CLI, MCP and native tool integrations
- ✦Enterprise security (SOC 2, ISO 42001, SSO)
- →Understanding an unfamiliar codebase quickly
- →Onboarding to open-source projects
- →Answering questions about repo internals
- →Writing and refactoring production code with AI
- →Planning features before implementation
- →Running agents across multiple IDEs and the CLI
- →Academic research
- →AI training and evaluation
- →Market research
- →User research & testing
- →Data annotation
- →Training & alignment
- →Evaluation & safety
- →Consumer brands monitoring sentiment and share of voice on social video
- →Marketing teams finding and vetting influencer partners
- →CX teams unifying feedback from tickets, chat, surveys and reviews
- →Automating PR code review
- →Raising test coverage
- →Incident investigation and remediation
- →Large-scale migrations and onboarding