Perplexity Computer
Perplexity Computer is an AI-powered super agent designed to autonomously complete complex digital tasks from start to finish. Users simply describe the outcome they want, and the system breaks the request into structured subtasks executed by specialized AI models. It can build websites, generate reports, compile datasets, and create multimedia content with minimal manual input. The platform dynamically selects the most suitable AI models for each component of a project, optimizing for research, images, video, or quick searches. Designed for extended autonomous operation, it can run workflows for hours or longer without interruption. By abstracting away technical complexity, it transforms high-level intent into fully executed results. Perplexity Computer streamlines advanced AI capabilities into a single, outcome-focused interface.
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tldraw
tldraw is an infinite canvas SDK designed for React developers, enabling the integration of collaborative whiteboards and the creation of canvas-based experiences within web applications. The SDK offers a React-based canvas where each element is a React component, allowing developers to utilize standard web technologies within the canvas. It supports high performance, managing thousands of objects, including images and interactive components, optimized for desktops, tablets, and mobile devices. Real-time collaboration features are built-in, providing support for collaborative editing, live cursors, viewport following, and cursor chat, with the option to use tldraw sync or integrate a custom backend. The platform allows the incorporation of various media types, such as images, videos, and embedded websites, and facilitates the creation of interactive bookmarks by pasting URLs.
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MiniMax H3
MiniMax H3 is a general-purpose omni-modal generation model that jointly understands multimodal contexts spanning text, images, video, and audio. It generates videos with native stereo sound at up to 2K resolution and 15 seconds in length, delivering content for advertising, branding, ecommerce, product design, UI/UX, gaming, and creative workflows. Users can combine reference types in one instruction, for example, transferring camera movement from a video, placing a character from an image into the scene, and matching vocals from an audio clip, while describing the relationships in natural language. H3 supports text-to-image, text-to-video with jointly generated audio, multi-shot modeling, text-to-audio, and generalized reference and editing across images, videos, and audio. Voice, sound effects, and music are modeled together. The model excels at instruction following, accurate text and brand presentation, and video-to-video motion transfer.
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Motn
Motn is an AI-powered motion graphics platform designed to let users create production-ready animations through natural language instead of traditional timeline-based editing. It functions as a “motion graphics canvas” where users can describe what they want, and the system generates animations as real, editable code, eliminating the need for keyframes or manual animation workflows. It combines multiple AI capabilities into one environment, allowing users to generate images, video, text, and animation logic, then connect them together on an infinite canvas made up of modular AI nodes. Every animation is produced as a functional React component, meaning users can directly tweak, iterate, and integrate the output into real applications or export it across formats such as HTML, React (.tsx), Framer components, or high-quality 60fps video. It also includes features like animation presets, animated backgrounds, and AI-assisted storyboarding.
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