π Introduction
Every chart tells a story.
But when multiple people work on that story, collaboration becomes the real challenge.
Thatβs the problem we wanted to solve with ChartStud, an AI-powered data visualization tool that lets teams create, edit, and share charts together β in real time.
In this post, Iβll walk you through how we built real-time chart collaboration from idea β design β implementation.
β‘οΈ The Problem
Before this feature, teams often shared screenshots or exported charts to review updates.
That process was slow, repetitive, and disconnected.
We wanted something like Figma for data visualization β where you could:
β
Edit charts live
β
Comment and co-create with teammates
β
See changes instantly
π‘ The Idea
The vision was simple:
"One shared workspace for charts where every change syncs instantly β no refresh, no confusion."
βοΈ The Tech Behind It
We built the collaboration feature using:
Socket.io β for real-time communication between users
React (frontend) β to render instant chart updates
Node.js + Express (backend) β to manage sessions and sync chart data
MongoDB β to store chart states and user sessions
When one user edits a chart, ChartStud broadcasts those changes to all connected users in milliseconds.
Hereβs the simplified logic:
socket.on("editChart", (data) => {
io.emit("updateChart", data);
});
Thatβs it β one event triggers a full live sync between all active users.
π₯ Collaboration in Action
Now, teams can:
Edit chart titles, colors, or data together
Add comments in real time
See live cursors for each user
Invite teammates via email or link
Itβs like Google Docs, but for charts π
π Whatβs Next
Weβre expanding this into Teams Workspaces β with shared folders, version control, and project analytics.
If you love data visualization, storytelling, and SaaS tools, join our early access here: π chartstud.com
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