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Crowdsourcing platform using 8M+ global workers to deliver AI training data, labeling, surveys, testing and store checks.
AI coding platform pairing a browser IDE, multi-model chat and an AI website/app builder with GitHub sync and instant deploy.
Google's open-source TypeScript framework for building scalable web apps, featuring signals, reactivity and first-party tooling.
Research participant marketplace that gives AI teams and academics fast access to verified, screened human data and feedback.
No public pricing
No public pricing
No public pricing
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)
- ✦8M+ verified global crowd
- ✦AI training data (image/video/audio/text) and annotation
- ✦Survey tools and respondents
- ✦Store checks and mystery shopping
- ✦Crowdtesting (web/app/games)
- ✦Tagging and categorization
- ✦Managed or self-service plus API
- ✦Built-in AI IDE and code generator
- ✦Access to 15+ AI models in one platform
- ✦AI website/app builder from prompts
- ✦GitHub repository sync
- ✦Runs Python, React, Next.js and Node apps
- ✦Instant deploy to Vercel
- ✦Bring-your-own API keys for higher limits
- ✦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
- ✦300,000+ verified, screened participants
- ✦300+ audience targeting filters
- ✦Representative and quota-based sampling
- ✦API and no-code survey tool integrations
- ✦AI-powered participant quality monitoring (Protocol)
- ✦Managed services with dedicated project teams
- ✦Access to vetted domain experts
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →Sourcing AI training and labeled datasets
- →Running surveys and market research
- →Point-of-sale store checks
- →Crowdtesting apps and websites
- →Building full-stack web apps with AI
- →Generating landing pages and WordPress plugins
- →Iterating on a synced GitHub codebase
- →Prototyping app clones quickly
- →Building scalable single-page apps
- →Enterprise web application development
- →Performance-critical front ends
- →Learning modern web development
- →Collecting human preference data for RLHF or model evaluation
- →Running academic behavioral or market research studies
- →Sourcing domain-expert data for specialized AI benchmarks