SayHI

Analyzes LinkedIn recipient profile data (headline, experience, recent activity, mutual connections) through Chrome extension DOM parsing to inject contextual details into generated messages. The system extracts structured profile information from the LinkedIn page context and passes it to an LLM backend that conditions message generation on these signals, ensuring references to specific roles, companies, or achievements rather than generic templates.

Provides a Chrome extension UI overlay or sidebar that allows users to draft, review, and edit AI-generated LinkedIn messages without leaving the LinkedIn compose interface. The extension intercepts the message composition flow, generates initial drafts via backend LLM, and surfaces them in an editable text area with accept/reject/regenerate controls, then syncs approved messages back to LinkedIn's native compose box.

Enables users to generate multiple personalized LinkedIn messages in sequence by iterating over a list of recipient profiles (either manually provided or extracted from LinkedIn search results). The system batches profile data, passes it to the LLM backend with a shared campaign context (e.g., 'recruiting for senior engineer'), and returns a set of personalized messages that can be reviewed and sent in bulk or individually.

Allows users to specify preferred tone (professional, casual, urgent, friendly) and writing style (concise, detailed, storytelling) that conditions the LLM's message generation. These preferences are stored in the extension's local settings or user account and applied as system-level instructions to the backend LLM, ensuring generated messages align with the user's brand voice and communication style.

Analyzes visible LinkedIn profile signals (recent job changes, endorsements, post engagement, mutual connection activity) through DOM parsing to identify engagement hooks that can be referenced in personalized messages. The extension extracts these signals and passes them to the LLM as context, enabling message generation that references recent profile updates or activity to increase relevance and response likelihood.

Maintains a library of previously generated or user-created message templates that can be reused, modified, or used as starting points for new messages. Templates are stored in the extension's local storage or cloud backend and can be filtered by campaign type, recipient role, or tone. Users can save successful messages as templates and apply them to similar recipients with automatic personalization.

Generates personalized messages specifically for LinkedIn connection requests, which have stricter character limits (300 characters) and different tone requirements than InMail or direct messages. The system detects when a user is composing a connection request (via Chrome extension DOM monitoring) and applies character-limit-aware generation that prioritizes brevity and clarity while maintaining personalization based on recipient profile.