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An AI-powered learning platform that turns sources into concept maps, flashcards, quizzes and summaries with multi-model chat.
AI creation studio that gathers scattered notes and ideas, then helps shape them into articles, slides, videos, or webpages.
Real-time web search and content-extraction API that grounds AI agents with fresh, structured data for research and RAG.
AI web browser for macOS that reads your tabs and connected apps to brief you, synthesize info and answer questions across your work.
Free tool that auto-generates conversational, browsable documentation for any public GitHub repo, from the makers of Devin.
No public pricing
No public pricing
No public pricing
- ✦Concept map builder
- ✦Flashcards with spaced repetition
- ✦AI quiz and summary generation
- ✦Import from PDFs, YouTube, websites, PubMed and arXiv
- ✦Multi-model AI chat (GPT, Claude, Gemini, Qwen)
- ✦Cross-format conversion and sharing
- ✦Central capture space for saved articles, videos, and notes
- ✦AI prompts that surface connections and gaps in collected ideas
- ✦Generates articles, slide decks, videos, and webpages from source material
- ✦Prebuilt style templates for slides and pages
- ✦Available as desktop app, browser extension, and mobile app
- ✦Skill and prompt library for specific creation tasks
- ✦Real-time web search API
- ✦Page content extraction and crawling
- ✦LLM-optimized structured/chunked output
- ✦Built-in PII and prompt-injection filtering
- ✦High-throughput, low-latency infrastructure
- ✦Drop-in integrations with major LLM providers
- ✦AI that reasons across open tabs and connected apps
- ✦Morning Brief of calendar, inbox and links
- ✦Synthesis into reports and decks
- ✦Split view and organised tab groups
- ✦Work and personal profiles
- ✦Privacy controls with end-to-end encrypted Sync
- ✦AI-generated documentation for GitHub repos
- ✦Conversational Q&A about a codebase
- ✦Browsable index of popular repositories
- ✦Deep code indexing via Devin
- →Visualizing and studying complex topics
- →Turning research sources into study materials
- →Literature review and dissertation prep
- →Creators consolidating research into finished blog posts or scripts
- →Professionals turning meeting notes into structured reports
- →Teachers converting lesson ideas into slides and video lessons
- →Product managers organizing scattered feedback into insights
- →Grounding AI agents with live web data to reduce hallucination
- →Building research or retrieval-augmented generation (RAG) applications
- →Powering AI-driven search assistants
- →Enterprise-scale agents needing reliable web access
- →Summarising and synthesising work context
- →Starting the day with an agenda brief
- →Answering questions across tools and tabs
- →Separating work and personal browsing
- →Understanding an unfamiliar codebase quickly
- →Onboarding to open-source projects
- →Answering questions about repo internals