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Google's open-source TypeScript framework for building scalable web apps, featuring signals, reactivity and first-party tooling.
An AI whiteboard for content creators that pulls in your channels and research to find ideas, write scripts and draft posts in your voice.
Topic and question research tool that aggregates search, social, and SEO data to generate blog and content ideas.
Low-code integration platform for connecting thousands of APIs into workflows and AI agents, including an MCP tool server.
No public pricing
No public pricing
No public pricing
Free trial available
No public pricing
- ✦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)
- ✦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
- ✦AI whiteboard workspace for content
- ✦Connects YouTube, Instagram, competitors and research
- ✦AI idea discovery from your channels
- ✦AI script and post generation in your voice
- ✦Consolidates multiple content tools
- ✦Topic Model for cross-web content research
- ✦Social Model covering Reddit, Twitter, TikTok, Instagram and more
- ✦Question Finder for audience-question discovery
- ✦Search volume, trends, sentiment and CPC data
- ✦Saved lists and shareable workspaces
- ✦Multi-language and multi-country reports
- ✦CSV export
- ✦Visual and code-based workflow builder
- ✦Prebuilt AI agent builder and deployment
- ✦Managed authentication across thousands of apps
- ✦MCP server exposing integrations as agent tools
- ✦Scheduled and event-triggered workflows
- ✦Connect SDK for embedding integrations into other products
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →Building scalable single-page apps
- →Enterprise web application development
- →Performance-critical front ends
- →Learning modern web development
- →Finding content ideas that perform
- →Writing video scripts faster
- →Drafting social posts in a consistent voice
- →Content marketers finding blog topic ideas
- →Social media managers tracking trending discussions
- →SEO teams researching keyword search volume and CPC
- →YouTube/podcast creators finding audience questions
- →Building AI agents that call external APIs and tools
- →Automating cross-app workflows such as Slack, Gmail, or Sheets notifications
- →Embedding third-party integrations into a SaaS product
- →Prototyping event-driven automations without heavy infrastructure