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Data-annotation platform with AI-assisted labeling tools and team workflows for building ML training datasets.
Open-source AI coding assistant offering autocomplete and chat in IDEs; the company was acquired by Cursor.
AI Pine Script generator for TradingView strategies and indicators.
Google's open-source TypeScript framework for building scalable web apps, featuring signals, reactivity and first-party tooling.
Open-source RAG infrastructure with SDKs and an API for developers to build accurate, cited AI chat and search on their own data.
No public pricing
No public pricing
No public pricing
- ✦AI-assisted data annotation tools
- ✦Training-data platform (BasicAI Cloud)
- ✦Team and project management
- ✦Annotation services
- ✦Open-source AI code assistant
- ✦Customizable autocomplete
- ✦In-editor AI chat
- ✦Community-built coding agent
- ✦AI-powered Pine Script code generation
- ✦Custom strategy and indicator creation
- ✦Error correction and code optimization
- ✦TradingView integration
- ✦Signals-based fine-grained reactivity
- ✦Built-in control flow and deferrable views
- ✦Server-side rendering and hydration
- ✦First-party routing, forms and dependency injection
- ✦AI-forward tooling and MCP resources
- ✦In-browser tutorials and playground
- ✦Managed RAG pipeline (extraction, chunking, retrieval)
- ✦Automatic source citations
- ✦Multimodal support (images, tables, graphs)
- ✦Model-agnostic: choose vector DB, embeddings, LLM
- ✦Metadata filtering
- ✦MCP server and AI SDK integration
- ✦22+ file-format ingestion
- →Labeling images and data for ML models
- →Managing annotation teams and projects
- →Producing training datasets at scale
- →Get AI code completions while coding
- →Ask questions about code in the editor
- →Build on an open-source coding-agent foundation
- →Generating custom trading strategies for backtesting on TradingView
- →Creating custom indicators for technical analysis
- →Automating the process of writing Pine Script code
- →Building scalable single-page apps
- →Enterprise web application development
- →Performance-critical front ends
- →Learning modern web development
- →Build a chatbot over private documents
- →Add semantic or deep search to an app
- →Ground answers in a large corpus with citations
- →Ship production RAG without building it in-house