Key Features

Context-aware knowledge surfacing to maintain user flow
One-click capture for content across any format
Relevant recall functionality to eliminate manual searching
Ability to connect disparate ideas and identify patterns
Recall capabilities from LLM chats, web pages, PDFs, and videos
Built specifically for synthesizing large volumes of information
Helps users manage and direct collected information actively
Surfaces insights from past projects relevant to current work

The platform is engineered for individuals who frequently encounter information overload, such as researchers, consultants, and knowledge workers, who must constantly synthesize disparate data points into coherent insights. It facilitates this by allowing for one-click capture of information across various formats—including web pages, PDFs, videos, and even interactions with large language model chats—ensuring nothing valuable is lost. Beyond simple storage, Liminary focuses on connectivity, actively helping users piece together related ideas and spot non-obvious patterns across previously segregated materials, moving beyond simple bookmarking or note-taking apps.


A key differentiator for Liminary is its ability to recall information based on the current work context, retrieving relevant data from past projects or readings when a user starts a new task. This proactive surfacing capability acts like a dedicated research assistant, recalling specific analyses or competitive data points from months prior that might otherwise be forgotten but are critical to the current project's success. Users maintain full control over their narrative and thinking process; the system provides the context and related evidence, but the final interpretation and argument construction remain firmly in the user's hands.

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