Perplexity
Perplexity is an AI-powered search and answer engine designed to provide accurate, real-time information. It combines natural language processing with web search to deliver concise and reliable answers. Users can ask questions conversationally and receive responses backed by cited sources. The platform focuses on transparency by showing where information comes from. It supports research, learning, and decision-making across various topics. Perplexity also offers follow-up questions to deepen understanding. Overall, it is a modern alternative to traditional search engines.
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Artyfacts
Artyfacts is a persistent workspace platform designed for AI agents, enabling their outputs to exist beyond temporary chat interactions and become structured, reusable assets such as research, specifications, reports, and documentation. It addresses a core limitation of current AI workflows, where generated content is often lost or fragmented across chat logs, by providing a centralized environment where work produced by agents can be stored, organized, and iterated over time. It supports outputs from multiple AI systems, including tools like Claude, OpenClaw, or other agents, allowing teams to unify their workflows regardless of the underlying model. Rather than treating AI interactions as disposable conversations, Artyfacts turns them into durable artifacts that can be referenced, edited, and built upon, improving continuity and collaboration in complex projects. It functions as a workspace layer for agent-driven development and research.
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hiData
hiData is an AI-powered data workspace that unifies data collection, spreadsheets, documents, databases, and presentations into a single connected workflow, allowing users to transform scattered information into structured analysis and share-ready outputs. It is designed as a “one AI workflow for modern work,” where users can extract, analyze, organize, and present information across every stage without switching tools. At its core, hiData introduces features such as AI Table Creator, which converts unstructured content from PDFs, images, webpages, and documents into clean, usable tables, and AI Sheets, which reimagines spreadsheet work as a conversational process where users can describe tasks in natural language instead of using formulas or scripts. It can clean data, merge tables, normalize formats, and generate summaries or insights automatically, making complex data operations accessible without technical expertise.
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Hamster
Hamster is an AI-first workspace designed to help developers and teams plan, structure, and execute projects by providing persistent context to AI coding agents across tools and workflows. It allows users to define a clear plan, brief, and context that can be injected into multiple AI development tools such as Claude, Codex, Gemini, Copilot, and others, ensuring that every agent operates with the same understanding of the project. Instead of relying on isolated prompts, Hamster centralizes instructions and project knowledge so agents can generate more accurate, consistent, and goal-aligned outputs throughout the development process. It works as a coordination layer for AI-driven building, enabling users to move their plans seamlessly between tools while maintaining continuity and reducing context loss. By supporting a wide range of AI coding environments, Hamster acts as a universal interface that connects different models and systems into a cohesive workflow.
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