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Angular.dev
✓ verifiedFree
Google's open-source TypeScript framework for building scalable web apps, featuring signals, reactivity and first-party tooling.
1.1M visits/mo
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Copyleaks
✓ verifiedFreemium
Enterprise-grade platform for AI and plagiarism detection across text, images and video, used by schools and Fortune 500s.
3.8M visits/mo4.0K saves
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Pipedream
✓ verifiedFreemium
Low-code integration platform for connecting thousands of APIs into workflows and AI agents, including an MCP tool server.
498K visits/mo
Pricing
No public pricing
No public pricing
Personal: $13.99/mo billed annually (1,200 credits)
Personal: $16.99/mo billed monthly
Pro: $74.99/mo (25 seats, 12,000 credits)
No public pricing
Core features
- ✦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 text, image and video detection
- ✦Deepfake detection
- ✦Plagiarism checker across 100+ languages
- ✦Combined AI and plagiarism report (AI Logic)
- ✦Content and text moderation
- ✦API, LMS and browser integrations
- ✦Google Docs add-on
- ✦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
Use cases
- →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
- →Verifying academic integrity
- →Detecting AI-generated content
- →Checking plagiarism across languages
- →Governing enterprise GenAI use
- →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
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