LiquidText
The infinite workspace for deep document analysis and multi-source synthesis.
The AI-powered memory assistant that turns your browser into a self-organizing knowledge base.
Heyday is a sophisticated AI memory assistant designed to solve the cognitive load issues associated with information overflow. Its technical architecture centers on a persistent browser-level integration that utilizes advanced natural language processing (NLP) and vector embeddings to index every page, document, and message a user interacts with. Unlike traditional bookmarking tools, Heyday operates as an ambient layer, automatically resurfacing relevant past research, Slack conversations, and Notion pages alongside active Google search results. By 2026, Heyday has positioned itself as the premier 'Context Engine' for knowledge workers, moving beyond simple retrieval into proactive synthesis. It constructs a dynamic knowledge graph from disparate data sources, enabling users to generate summaries and find connections across their digital footprint without manual tagging. The platform's ability to integrate with the professional tech stack—including Google Drive, Slack, and Zoom—allows it to function as a unified organizational memory, significantly reducing time-to-retrieval for critical project data and historical context.
Uses RAG (Retrieval-Augmented Generation) to inject relevant past documents into Google/Bing search results in real-time.
The infinite workspace for deep document analysis and multi-source synthesis.
Empower your teams to learn, practice, and perform with AI-driven sales enablement and microlearning.
Transform fragmented datasets into navigable, high-fidelity neural knowledge graphs for RAG orchestration.
The minimalist's gateway to focused reading and intelligent content archival.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Clustering algorithms group related content from different sources (emails, tabs, docs) into cohesive project folders.
Scans active page content and highlights keywords that match your previously viewed data.
Unified index across Slack, Gmail, and browser tabs using vectorized data storage.
Leverages LLMs to synthesize a multi-source summary of a specific topic based on your own data.
Client-side filtering that prevents sensitive domains (e.g., banking) from ever reaching the index.
A 'timeline' view of your digital research path using metadata timestamps.
Researchers often forget sources they found weeks ago when a new trend emerges.
Registry Updated:2/7/2026
Sales reps spend too much time digging through Slack and CRM for client context.
New team members lack the context of previous decisions made in fragmented docs.