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A fast, keyboard-driven Mac/Windows launcher with an extension store and built-in AI commands for power users who live in shortcuts.
AI reading aid that explains highlighted passages of research papers in plain language to speed up dense academic reading.
AI-assisted user-research platform combining surveys, video interviews, and rapid participant recruiting for product teams.
Free tool that auto-generates conversational, browsable documentation for any public GitHub repo, from the makers of Devin.
Free trial available
Free trial available
No public pricing
No public pricing
- ✦Extendable command-bar launcher for macOS and beta Windows support
- ✦Thousands of third-party extensions from a public store
- ✦Built-in AI chat and custom AI command automation
- ✦Clipboard history, window management, and calculator utilities
- ✦Text snippets and quicklinks for repetitive actions
- ✦Hotkeys and aliases for common apps and commands
- ✦Team plan for sharing snippets, quicklinks, and extensions
- ✦Highlight-to-explain any text
- ✦Follow-up questions on a paper
- ✦Whole-paper summaries (Pro)
- ✦Math and figure explanations (Pro)
- ✦Zotero library import
- ✦Saved highlights and explanations
- ✦Multi-format feedback collection (voice, video, text, surveys)
- ✦AI-adaptive follow-up questioning during interviews
- ✦Built-in participant panel with unlimited screening filters
- ✦In-product intercepts and shareable recruiting links
- ✦AI-generated theme analysis with supporting quotes/clips
- ✦Chat-with-your-data interface and MCP/LLM integration
- ✦Enterprise controls: custom AI prompts, permissions, spending caps
- ✦AI-generated documentation for GitHub repos
- ✦Conversational Q&A about a codebase
- ✦Browsable index of popular repositories
- ✦Deep code indexing via Devin
- →Launching apps and running quick commands without leaving the keyboard
- →Automating repetitive text and file tasks with snippets and quicklinks
- →Getting AI answers or writing help without switching apps
- →Sharing productivity tooling and extensions across a team
- →Understand dense research papers
- →Decode academic jargon
- →Summarize papers quickly
- →Learn unfamiliar technical fields
- →Testing early product or AI prototypes with target users
- →Evaluating website, app, or creative/message concepts
- →Building golden sets and benchmarks for AI model evaluation
- →Mapping customer journeys and segmenting audiences
- →Replacing traditional research agencies for faster insights
- →Understanding an unfamiliar codebase quickly
- →Onboarding to open-source projects
- →Answering questions about repo internals