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Google Opal
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Google Opal builds AI mini-apps via natural language; official Google product.
👁 2.1M/mo
Pricing
Lite: Free
Basic: $5 /mo
Standard: $12 /mo
Plus: $25 /mo
Premium: $50 /mo
DEVELOPER: FREE
STARTER: $119 / month
GROWTH: $599 / month
ENTERPRISE: Starting at $1,800 / month
No public pricing
No public pricing
Core features
- ✦No-code survey setup
- ✦On-site, email, and SMS survey options
- ✦Integrated AI insights
- ✦Intuitive dashboard with charts and reporting
- ✦Advanced targeting rules and third-party integrations
- ✦Fully translatable surveys
- ✦Developer-first platform for AI-powered integrations
- ✦Secure, isolated sandboxes for running JavaScript/Python code
- ✦Automatic management of npm/PyPI dependencies
- ✦Built-in platform plumbing: secrets, webhooks, scheduling, logs, and audit
- ✦Yep Agent (prompt → runnable processes)
- ✦MCP Server/Tools (convert code into AI agent tools)
- ✦Serverless runtime (YepCode Run) and SDK access
- ✦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)
- ✦No-Code AI Mini-App Creation
- ✦Natural Language Building and Editing
- ✦Rapid Prototyping
- ✦Intuitive Visual Editor (Node-based workflow)
- ✦Instant Hosting and Sharing of Apps
- ✦Multi-step AI Workflow Creation
- ✦Gallery of Demo Opals for Remixing
- ✦Debugging with Console
- ✦Automatic Version History
Use cases
- →Collect zero-party data using post-purchase surveys
- →Run email capture campaigns
- →Create interactive polls and forms
- →Drive change in marketing spend and product line (Ecommerce)
- →Gather feedback for product while rewarding & engaging your users (SaaS)
- →Ask your audience what types of content they want to see (Blogs & Media)
- →Building complex API integrations that require custom code and logic beyond what no-code tools offer.
- →Safely running AI-generated scripts in isolated environments with secrets management.
- →Automating workflows that require large datasets, loops, branching, or custom dependencies.
- →Connecting AI agents to external databases, APIs, and services using MCP tools.
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →Generate full blog posts from a topic input.
- →Create Google Doodles that look up historical events and generate logos.
- →Develop apps that solve math problems from screenshots, provide explanations, and solutions.
- →Generate DJ tracks based on mood or preferences, including intros and YouTube links.
- →Build apps to find and present historical events related to a user's birthday.
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