Why I use it: The GitHub of ML — 500K+ models, 100K+ datasets. Essential for teams using open-source AI. Inference API for quick deployment.
Why I use it: AI code completion that runs locally or in the cloud. Privacy-focused with on-premise options.
Why I use it: AI pair programmer. Autocomplete, chat, and code generation right in your editor.
Why I use it: Anthropic's AI assistant. Excellent at code review, debugging, and explaining complex codebases.
Why I use it: OpenAI's conversational AI. Great for brainstorming, code generation, and rubber duck debugging.
Why I use it: Open-source vector database with built-in ML models. Hybrid search combining vectors and keywords.
Why I use it: Framework for building LLM-powered applications. Chains, agents, and retrieval augmented generation.
Why I use it: Managed vector database for AI applications. Store embeddings and power semantic search at scale.
Why I use it: The best TypeScript SDK for AI features. Streaming UI, multi-provider support (OpenAI, Anthropic, etc.), and structured outputs. Essential for AI-powered SaaS.
Why I use it: The default AI API. GPT-4o for text, DALL-E for images, Whisper for speech. Most SaaS AI features start here.