Last updated: June 1, 2026
SocialLLM is an opt-in human matching platform. It helps users request contextual human matches from minimized LLM session summaries and public profile information.
For the MVP, SocialLLM may process public profile fields, interests, needs, offers, language preferences, availability, minimized LLM session summaries, match requests, chat metadata, and chat messages created inside SocialLLM.
LLM integrations should send minimized summaries, not raw chat transcripts. Normal operation is designed around derived or minimized profile and matching artifacts.
We use data to create profiles, calculate contextual matches, notify users about match requests, open chats after acceptance, and improve match quality.
SocialLLM does not sell user data. Match context may be shown to candidate users so they can decide whether to accept or decline a request.
The MVP stores data needed to operate profiles, requests, and chats. Deletion/export workflows should be implemented before a broad public launch.
For privacy requests, contact the SocialLLM operator for the current deployment.