deepnote

Browser AI assistant for reading, analyzing, and generating text within web pages

A desktop work log tool that captures thoughts and decisions while maintaining a knowledge graph.

Road maintenance robot that automatically detects and seals asphalt cracks

PDF information processor that extracts content to generate summaries, tables of contents, and answer targeted questions.

An academic writing assistant platform supporting reading, writing, citation, and multilingual content generation.

Audio and video transcription tool that converts content into summaries, mind maps, and key Q&A.

TreeMind (Shutu.cn) is an advanced AI-powered mind mapping platform that automatically generates complete mind maps from user-input text notes or images, enabling efficient idea organization without the need to manually add nodes one by one. The platform supports real-time collaborative editing and review by multiple users, offers a rich library of industry-specific templates, and provides various presentation modes to enhance communication and team collaboration efficiency. With multi-platform compatibility, it ensures seamless access and editing anytime, anywhere.

Hyperbeam is a developer-focused API that enables the direct integration of virtual computer and browser environments into web applications. Built on streaming Chromium instances hosted on remote servers, Hyperbeam allows multiple participants to view, control, and collaborate on web applications and websites in real time through a single shared session. Instead of relying on traditional screen sharing, Hyperbeam streams from a browser hosted on the server via WebRTC, eliminating upload bandwidth bottlenecks and supporting up to 10,000 concurrent participants per session. The platform provides developers with fine-grained control through a REST API and NPM package, enabling programmatic navigation, custom authentication, session persistence, and flexible access permissions. With built-in features such as echo cancellation, WebGL support, and mobile touch compatibility, Hyperbeam transforms any website into a collaborative, multi-user experience.

Rayyan AI is a web-based platform specifically designed for researchers conducting systematic and literature reviews. Leveraging artificial intelligence, machine learning, and natural language processing technologies, Rayyan streamlines the processes of screening, deduplicating, and organizing research articles. The platform supports collaborative work among multiple reviewers and offers features such as customizable tags, keyboard shortcuts, relevance ranking, and PRISMA flowchart generation. With mobile accessibility enabling offline work, Rayyan emphasizes transparency and reproducibility in the research process.

Packback is an innovative online discussion platform that leverages artificial intelligence to promote inquiry-based learning. It encourages students to ask open-ended, thoughtful questions and enhances their questioning and reasoning skills through real-time AI feedback. The platform seamlessly integrates with existing LMS systems and provides instructors with tools for management, analytics, and academic integrity support. Packback is designed to foster a culture of curiosity, increase student engagement, and reduce instructor workload.

ProjectPro is a unique project-based learning and productivity platform focused on AI, machine learning, data science, big data, and cloud computing technologies. It offers over 250 enterprise-grade, real-world project templates for developers and data professionals, covering the entire workflow from data acquisition to deployment. Each project comes with verified downloadable code, detailed explanations, video demonstrations, and a cloud-based lab environment. Users also enjoy unlimited one-on-one expert mentoring to accelerate skill development and gain practical, hands-on experience.

GitHub Next is an advanced initiative by GitHub that brings together researchers and engineers to invent and prototype new tools and technologies aimed at transforming software development. The project focuses on enhancing collaboration, productivity, and developer experience through experimental efforts such as real-time collaborative coding, Git repository data management, and AI-driven micro-application creation. Continuously pushing the boundaries of existing development workflows, GitHub Next aims to shape the future of software engineering practices.