Floot is an app building platform for no-code development, with the core goal of turning users' ideas directly into real, shippable products. Its usage revolves around AI conversation: users connect Floot as a connector to AI tools such as Claude, ChatGPT, or Cursor, describe the project they want to build in natural language, and Floot handles the entire technical setup from backend and database to hosting, all without using git, a terminal, or consuming build credits.
In terms of main capabilities, Floot provides a complete path from chat to a live app. With a single conversation with the AI, users can get a real app with a database that is accessible via its own link. They can then continue iterating through conversation until the app fully meets expectations. The publishing step supports web and mobile, allowing the app to go live on the web and app stores with one click.
The platform has built-in infrastructure needed to run an app, including a backend, data storage, and user login. Apps can save information, let users create accounts, and automatically run periodic tasks, with Floot handling the technical setup on users' behalf. Email and notification capabilities allow apps to directly send emails, receipts, updates, and notifications without configuring additional tools. For SEO, Floot has built-in search engine optimization essentials, making apps easier for search engines such as Google to understand and discover. For integrations, it supports Stripe payments, Google login, Zapier, and thousands of other services, with step-by-step setup guidance.
The usage flow can be summarized in four steps: connect Floot as a connector to Claude, ChatGPT, or Cursor; prompt the AI to build the project; keep refining until satisfied; and finally publish to web and mobile. In the official example, an independent access link like orderbook.floot.app appears, indicating that apps go live under an independent domain or subdomain.
Regarding cost, the official text only mentions that credits apply to the optional Floot agent and AI image generation, and does not provide specific pricing, plans, or billing standards; no further pricing information is available at this time. The main use case is users who want to quickly build and launch web and mobile apps with databases through natural language. In terms of limitations, the material does not explain the upper limits of supported app types, technical stack details, concurrency scale, or custom code capabilities; these are not yet provided.
