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AI app builder that turns chat prompts into working web apps and sites, with credit-based build and deploy.
Online database-design tool with sample schemas and an AI generator to explore, modify or build database structures visually.
Google Labs experiment for building and sharing AI mini-apps from natural-language prompts, no coding required.
Low-code integration platform for connecting thousands of APIs into workflows and AI agents, including an MCP tool server.
AI copilot that turns text or references into editable, multi-screen UI prototypes exportable to Figma or code.
No public pricing
No public pricing
No public pricing
No public pricing
No public pricing
Free trial available
- ✦Chat-to-app and website generation
- ✦Real-time prototype building
- ✦One-click deploy and hosting
- ✦Templates to start projects
- ✦Credit-based building with shared workspaces
- ✦You own your code and data
- ✦Library of sample database designs
- ✦Visual database designer / diagram tool
- ✦AI database generator
- ✦Modify and optimize existing schemas
- ✦SQL script export
- ✦Dialect converters (MySQL/PostgreSQL/MSSQL)
- ✦Build AI mini-apps from natural-language prompts
- ✦Visual editor for prompt/tool workflows
- ✦Share created apps with others
- ✦No-code AI app prototyping
- ✦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
- ✦Text-to-UI prototype generation
- ✦Design from image or Figma references
- ✦Interactive multi-screen prototypes
- ✦Conversational AI editing
- ✦Export to Figma, HTML/CSS, images
- ✦MCP access for coding agents
- →Build web apps without coding
- →Prototype product ideas quickly
- →Create landing pages and sites
- →Ship internal tools
- →Finding a starting schema for a project
- →Designing a database visually
- →Generating a schema with AI
- →Converting between SQL dialects
- →Prototyping an AI workflow quickly
- →Sharing a custom AI mini-app
- →Automating a task with chained prompts
- →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
- →Rapid UI wireframing
- →Prototyping product screens
- →Recreating a reference UI
- →Handing designs to developers