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Google's open-source TypeScript framework for building scalable web apps, featuring signals, reactivity and first-party tooling.
Connects Git repos to answer plain-English questions about your code with file references and dependency context.
Undetectable desktop AI assistant that feeds real-time answers during coding and technical interviews.
Local desktop app that assembles code-context prompts for LLMs, with API integrations, token tracking, and prompt saving.
Chrome extension acting as an AI SQL copilot inside Metabase—generating, editing, explaining and formatting queries.
No public pricing
No public pricing
Free trial available
- ✦Signals-based fine-grained reactivity
- ✦Built-in control flow and deferrable views
- ✦Server-side rendering and hydration
- ✦First-party routing, forms and dependency injection
- ✦AI-forward tooling and MCP resources
- ✦In-browser tutorials and playground
- ✦Natural-language search across a codebase
- ✦Architecture explanations and dependency graphs
- ✦Bug hunter that traces issues across files
- ✦AI code review before opening a PR
- ✦Automatic documentation generation
- ✦Multi-repo support via OAuth
- ✦Real-time AI answers during technical interviews
- ✦Invisible to screen sharing and recording
- ✦Hidden from dock, tray and activity monitor
- ✦Click-through overlay
- ✦Live audio capture and transcription
- ✦Lifetime unlimited access license
- ✦Source-code context and prompt management
- ✦Custom and formatting instructions
- ✦BYOK API integrations (OpenAI, Claude, Gemini, etc.)
- ✦Token-limit tracking
- ✦Code-edit feature with visual diffs and backups
- ✦Local, offline prompt generation
- ✦Natural-language SQL generation
- ✦AI editing of SQL queries
- ✦Plain-English explanations of complex queries
- ✦Automatic SQL formatting
- ✦Auto-generated chart titles
- ✦Auto-added query comments
- →Building scalable single-page apps
- →Enterprise web application development
- →Performance-critical front ends
- →Learning modern web development
- →Onboarding new engineers faster
- →Answering questions about a codebase
- →Understanding how components connect
- →Finding and diagnosing bugs
- →Generating documentation from code
- →Getting live help on coding interview problems
- →Answering technical questions in real time
- →Avoiding detection during screen-shared interviews
- →Building context-rich prompts for AI coding
- →Comparing model outputs on the same task
- →Reusing saved prompts across tech stacks
- →Keeping code private during prompt creation
- →Speed up SQL writing in Metabase
- →Understand inherited or complex queries
- →Document SQL with comments
- →Format messy queries