Hivemind

Hivemind consumes signals between entities at various resolutions and displays them in real-time through a unique time series visualization.

Setting Up

Prerequisites

• Docker
• Node.js and npm

Run TimescaleDB

Start TimescaleDB with the following command:

docker run -d --name timescaledb -p 5432:5432 -e POSTGRES_PASSWORD=password timescale/timescaledb-ha:pg14-latest

Database Setup

Once TimescaleDB is running, set up your database using server/db.sql. This will create the necessary tables, hypertables, materialized views, and functions.

Run the Server

Navigate to the server directory, install dependencies, and start the server:

cd server
npm install
npm run dev

Run the Client

Set up and start the client in a similar manner:

cd client
npm install
npm run dev

User Interaction

In this demo, users can generate incoming signals corresponding to various emotions or actions by pressing designated keys:

J - Joy

S - Sadness

L - Love

T - General Thought

While signals in the demo are generated via key inputs, the future plan is to connect this to a more meaningful source, such as user sentiment signals or even a brain-computer interface 🤯.

Demo

This demo features 5 users, demonstrating duplicated signals for a more comprehensive visualization. The client connects to the server via a basic WebSocket stream, allowing for real-time interaction and signal processing.