What Is Lolo? A Privacy-First Location Social App for Finding Friends IRL

What is Lolo?

Lolo is a privacy-first location social app for turning online, professional, and onchain communities into real-world connections.

Instead of building another feed, Lolo helps people answer a more useful question: who from my world is actually around?

That might mean a friend from X/Twitter who happens to be in the same city. It might mean someone from an onchain community who is nearby during a conference. It might mean a professional contact, founder, creator, classmate, or someone you met once and want to reconnect with.

Lolo’s goal is to make those ambient connections visible enough to become real plans, without turning location sharing into exact live tracking.

How does Lolo work?

Lolo is built around pings.

A ping is a lightweight way to say “I’m around” in a place. It is not meant to be a constant GPS broadcast. Instead, Lolo uses controlled, granular, privacy-first location sharing so people can discover relevant nearby connections without exposing more than they want to.

From there, Lolo helps users find people through the networks they already care about:

• X/Twitter friends
• Real-world friends
• Professional contacts
• Circles and communities
• Onchain communities
• Events and nearby plans

Lolo is not trying to make users build a new social graph from scratch. It is trying to make the graph they already have more useful in the real world.

How does Lolo help people find X/Twitter friends IRL?

One of Lolo’s core use cases is helping people find their X/Twitter friends in real life.

Many people have built meaningful online networks, but those networks are usually trapped inside feeds. You might follow someone for years, be in the same city, attend the same event, or move through the same communities without realizing it.

Lolo connects to a user’s X account and helps surface relevant people from their existing X/Twitter graph who are already nearby on Lolo.

The point is not to replace X. The point is to make the social graph more physically useful.

If you already know someone online, Lolo should make it easier to know when you are both around the same city, event, neighborhood, or community.

What are Lolo Circles?

Lolo uses Circles to organize discovery around communities.

A Circle can represent a friend group, a professional network, an event, a local scene, or an onchain community. Circles make nearby discovery more contextual, because “who is around?” is more useful when you know why they are relevant.

For example, a token-community Circle can help people who share the same onchain community find, chat with, and meet each other IRL.

Velvet became Lolo’s first token-community Circle. $VELVET holders on Base can use Lolo to find other holders nearby, turning an onchain community into a real-world community layer.

This is the broader idea: Lolo can make digital communities physically useful.

How does Lolo handle location privacy?

Location sharing is powerful, but it has to be designed carefully.

Lolo is built around “I’m around,” not exact live tracking.

That means the product is focused on controlled pings, granular sharing, and safer defaults. Users should be able to participate in real-world discovery without feeling like they are broadcasting their exact movements.

The privacy model matters because Lolo is not just about showing a map. It is about creating enough trust for people to actually use location as a social layer.

How does Lolo support events and plans?

Lolo is also moving toward events and coordination.

Seeing who is nearby is useful, but the next step is helping people turn that context into plans. Event sharing, pins, RSVPs, group chats, and Circle-based invites are all ways to move from discovery into action.

The long-term version of Lolo is not just “who is around?”

It is “who is around, why are they relevant, and what can we do together?”

Why does Lolo matter?

Online networks are bigger than ever, but they often do not translate into real-world connection.

You can have thousands of followers, hundreds of mutuals, dozens of group chats, and multiple community memberships while still missing the people physically around you.

Lolo exists because social graphs should be more useful in real life.

• For friends, that means easier casual meetups.
• For professional networks, that means more ambient serendipity.
• For onchain communities, that means turning token ownership and online identity into real-world community.
• For events, that means better ways to find the people you care about before, during, and after the gathering.

What is Lolo building toward?

Lolo is building a location-social layer for the communities people already belong to.

That includes:

• Finding X/Twitter friends IRL
• Discovering nearby friends and professional contacts
• Making Circles useful for communities and events
• Helping token-gated communities meet in real life
• Supporting privacy-first pings instead of exact live tracking
• Turning nearby context into chats, plans, and meetups

The internet made it easy to find people online.

Lolo is trying to make it easier to find the right people offline.

FAQ

• What is Lolo? Lolo is a privacy-first location social app that helps people find friends, professional contacts, online communities, and onchain communities nearby in real life.
• How does Lolo help people find X/Twitter friends IRL? Lolo connects to a user’s X account and helps surface relevant people from their existing X/Twitter graph who are already nearby on Lolo.
• What is a Lolo Circle? A Lolo Circle is a community context for nearby discovery. Circles can represent friend groups, events, professional networks, local scenes, or onchain communities.
• What is a token-community Circle? A token-community Circle is a Lolo community where token holders can find, chat with, and meet other holders IRL.
• Does Lolo share exact live location? Lolo is designed around “I’m around,” not exact live tracking. It uses controlled pings, granular sharing, and privacy-first defaults.