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Low-code platform that generates internal tools, admin panels and dashboards from a prompt, then lets teams edit visually.
Low-code backend builder giving teams a spreadsheet UI over Firebase/Google Cloud data plus scalable custom cloud functions.
Side-by-side arena to compare AI coding models and build multi-file apps, with a public leaderboard and battle mode.
Agentic terminal and cloud agent platform (Warp Terminal, Warp Agent, Oz) for developers orchestrating Claude Code, Codex, and other agents.
Google Labs experiment for building and sharing AI mini-apps from natural-language prompts, no coding required.
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No public pricing
No public pricing
- ✦Prompt-to-app generation for internal tools and admin panels
- ✦Visual drag-and-drop editor for post-generation refinement
- ✦Direct connections to real databases, REST APIs and third-party tools
- ✦80+ prebuilt UI components
- ✦Role-based access control and audit logging on paid tiers
- ✦Cloud or self-hosted deployment options
- ✦Spreadsheet-style UI over a Firestore database
- ✦Unlimited custom cloud functions written in-browser
- ✦30+ supported field types for structured data
- ✦Webhooks and extensions (Slack, SendGrid, WhatsApp, etc.)
- ✦Field-level access control and row auditing
- ✦Open-source codebase with self-hosting option
- ✦Head-to-head model comparison
- ✦Battle mode matchups
- ✦Public model leaderboard
- ✦Multi-file app generation
- ✦File uploads as input
- ✦Modern terminal rebuilt for agentic coding workflows
- ✦Warp Agent with multi-agent orchestration and model routing
- ✦Oz platform for launching agents into the cloud via SDK, CLI, or terminal
- ✦Codebase indexing and granular permission controls
- ✦Team-wide usage visibility and spend/credit caps
- ✦Open-source terminal core
- ✦Build AI mini-apps from natural-language prompts
- ✦Visual editor for prompt/tool workflows
- ✦Share created apps with others
- ✦No-code AI app prototyping
- →Building employee approval workflows or ops dashboards quickly
- →Generating admin panels with tables, filters and forms for a database
- →Creating CRUD interfaces on top of an existing data source
- →Teams needing self-hosted internal tools for compliance reasons
- →Startups building an app backend without heavy custom development
- →Non-developers collaborating on structured data alongside engineers
- →Automating workflows that trigger on data changes
- →Connecting external forms or APIs into a shared Firestore database
- →Choosing the best coding model
- →Benchmarking AI code quality
- →Prototyping small apps
- →Developers who want an AI-assisted terminal for daily coding
- →Teams orchestrating multiple coding agents (Claude Code, Codex) together
- →Engineering orgs needing governance over agent-driven development
- →Companies moving agent workflows from local machines to the cloud
- →Prototyping an AI workflow quickly
- →Sharing a custom AI mini-app
- →Automating a task with chained prompts
