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Python boilerplate for quickly building and monetizing AI-powered Telegram bots, with payments, DALL-E images and multi-model support.
Visual development platform with AI design-to-code, a visual editor and headless CMS so teams and agents ship UI in real code.
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 app builder that turns chat prompts into working web apps and sites, with credit-based build and deploy.
No public pricing
No public pricing
No public pricing
- ✦Python boilerplate for AI Telegram bots
- ✦Switch between 5 models including GPT-4o
- ✦Multimodal input (voice notes, images, text)
- ✦Telegram payments and subscription integration
- ✦MongoDB storage and access control
- ✦DALL-E 3 image generation and predefined agents
- ✦AI design-to-code (Figma to code)
- ✦Visual editor tied to your components
- ✦Headless/visual CMS
- ✦AI agents (Builder-Agent) that open PRs
- ✦Integrations: GitHub, GitLab, Bitbucket, Figma, VS Code
- ✦Roles, reviews and collaboration
- ✦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
- ✦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
- →Ship a monetized AI Telegram bot quickly
- →Build community-specific AI agents
- →Add paid subscriptions to a bot
- →Offer image generation inside Telegram
- →Convert designs to production code
- →Let non-developers edit pages visually
- →Manage content with a headless CMS
- →Collaborate across design, PM and engineering
- →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
- →Build web apps without coding
- →Prototype product ideas quickly
- →Create landing pages and sites
- →Ship internal tools