Heyday

Searches and surfaces relevant past conversations, emails, documents, and notes based on context without requiring manual tagging or keyword searches. Uses AI to understand semantic meaning and retrieve information that matches the user's current need.

Ingests and unifies data from multiple sources including email, notes, chat platforms, and documents into a single searchable knowledge layer. Creates a consolidated view across fragmented digital tools.

Automatically generates content ideas, drafts, and outlines based on user's digital footprint and past work. Leverages existing notes, emails, and documents to create new content with contextual awareness.

Automatically summarizes long emails, documents, conversations, and chat threads into concise overviews. Extracts key points and actionable information from verbose content.

Provides an AI chatbot interface that understands context from user's knowledge base and can answer questions, provide recommendations, and have contextual conversations about stored information.

Analyzes email threads to extract action items, summarize discussions, and provide context. Helps users manage email overload by surfacing important information and next steps.

Enables unified search across all connected data sources with a single query, returning results from emails, documents, notes, and chats simultaneously. Eliminates need to search each platform individually.

Provides writing suggestions and completions based on user's writing style and past documents. Offers contextual writing help that matches the user's voice and previous work patterns.

Analyzes documents to extract key insights, themes, patterns, and important information. Provides deeper understanding of document content beyond simple summarization.

Automatically organizes and categorizes ingested content into a structured knowledge base. Creates logical groupings and relationships between information without manual tagging.