Create an intent
People search for plans, peers, collaborators, activities or help using plain language.
Intent-based networking
Meet the right people for what you want to do now.
LMGram turns live intentions into relevant matches, private chats and group rooms. It is built for events, hotels, conferences, venues and communities where many people are nearby, available and looking for compatible plans.
Semantic matching
Geolocation signal
Intent rooms
ChatGPT connector
Live nearby
Search intent
I want to organize a dinner with nearby people
4 matches
cluster detected
Dinner Circle
5 people matched around the same plan.
Michael I can bring drinks.
Emily Vegetarian option works for me.
James Let's close at 8 people.
Open to new matches
What LMGram does
A product for live intent, not static profiles.
Users express what they want in natural language. LMGram understands semantic overlap, applies location when useful, creates match requests and opens the right conversation surface: one-to-one chat or an intent room for a group.
Match by meaning
The engine compares sessions by semantic similarity, shared terms, complementarity and distance.
Coordinate in chat
Matches can become direct conversations with text, photos, video, audio and push notifications.
Form a room
Clusters of compatible matches can become a group room so participants coordinate together.
How it works
From a sentence to a real conversation.
- Intent capturedA user says what they want to do, find, learn or coordinate.
- Signals scoredLMGram evaluates meaning, overlap, complementary intent and optional location.
- Matches appearUsers see compatible people and existing rooms linked to the same intent.
- Conversation startsThey open a direct chat or create/join a room for the group opportunity.
Intent rooms
When the match is bigger than two people, LMGram creates the room.
Many real-world intentions are group-shaped: dinner, football, tours, workshops, side events, study groups or founders looking for the same discussion. Intent rooms turn match clusters into a shared place to coordinate.
Founder Dinner Hub
7 members · open
MMichael Johnsonblock · report · direct chat
AAmanda Thomasblock · report · direct chat
MMaria Lopezblock · report · direct chat
One room per open cluster
LMGram avoids duplicate group chats by recognizing when matched intentions belong to the same open cluster.
Transitive matching
New people can join if they match any member's intent in an open room, even after the room was created.
Close when complete
Members can close a room to new matches when the table, team, group or activity is full.
Best-fit markets
Built for high-density contexts with limited time.
Conferences
Help attendees find peers, investors, customers, founders and side-event groups before the opportunity is gone.
Hotels and venues
Activate guests around dinners, sports, tours, business networking and local plans in the same building.
Expos and fairs
Connect buyers, suppliers, sponsors and exhibitors by explicit commercial needs instead of static directories.
Coworkings
Surface founders, builders, operators and freelancers who are looking for feedback, talent or collaboration.
Campuses
Form study groups, hackathon teams, language practice sessions and activity groups from live student intent.
Travel experiences
Make spontaneous groups for tours, dinners, transport sharing and outdoor plans easier to create safely.
Trust and control
People can connect without giving up control.
LMGram now includes safety and conversation controls across individual and group chats. These are foundational for hotels, campuses, tourism and any venue-based deployment.
Bidirectional blockingIf one user blocks another, messages between both users are hidden both ways.
Reports with categoriesHarassment, inappropriate language, spam, hate speech, sexual content and other with details.
Collective room removalIf at least half of a room blocks one member, that member is expelled and cannot rejoin.
Chat actionsDelete, empty, search, mute, report conversation and abandon an intent room.
Mobile, ChatGPT and API