In-browser Postgres environment
Runs in the browser, letting users work with a Postgres database without leaving the web app.
Postgres Sandbox is an in-browser Postgres environment with AI assistance for building databases. GitHub sign-in and bring-your-own-LLM workflow.
Postgres Sandbox is an in-browser Postgres environment with AI assistance. The site positions it as a place to build your database directly in the browser, rather than working in a separate local or desktop tool.
The homepage shows a sign-in step before database creation and mentions GitHub sign-in. It also states 'Bring your own LLM,' which indicates the AI-assisted workflow is intended to work with a user-supplied language model.
Runs in the browser, letting users work with a Postgres database without leaving the web app.
Includes AI assistance for building the database, according to the product description on the homepage.
Requires sign-in before creating a database, with GitHub sign-in shown on the homepage.
Lets users bring their own LLM, which suggests the AI layer is configurable rather than fixed to a single model.
Supports node and edge editing interactions in the database builder, including move, delete, cancel, and selection via keyboard controls.
Create and adjust a Postgres database in a browser-based environment when you want to avoid setting up a local database tool first.
Work with AI assistance while building database structure, using the product’s own editor rather than a separate assistant workflow.
Sign in with GitHub, create a database, and use the sandbox as an online workspace for database work.
Use the node-and-edge editor controls to move, delete, and cancel selections while shaping the database layout.
The site describes it as an in-browser Postgres sandbox with AI assistance. The homepage also includes a sign-in flow to create a database, using GitHub sign-in.
The homepage says you can build your database and use AI assistance, but it does not provide a detailed setup guide or workflow beyond signing in and creating a database.
The rendered page text explicitly mentions 'Bring your own LLM,' so AI assistance appears to depend on a user-provided language model rather than a fully specified built-in model stack.
The source does not provide pricing details. The pricing URL returned a 404, so there is no confirmed pricing information in the collected evidence.
The available source text does not describe collaboration features, team workspaces, or sharing controls.
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