Lugsail

Context

(In the last few weeks, traffic to lugsail.app jumped up, so I thought I should write a quick post on why I’ve been putting it together. This is that.)

A couple of months ago, I was working on a biomedical research white paper and ran into a problem that’s been around for decades: most online charting tools are either too complex and ugly, or too simple to be useful.

I didn’t expect to get stuck on this. I spent years as a multimedia editor and data reporter at The Wall Street Journal, building charts in D3 almost daily for breaking news, investigations, and interactive stories worldwide. After that I worked at a satellite company collecting Earth observation data, where I saw the same thing from the other side: there’s an enormous distance between having a dataset and communicating it well. But once data is properly plotted, everyone gets it.

So when I went looking for a basic charting tool – something to handle a few custom, branded designs – I expected options. Instead, the ones I found started at hundreds of dollars a month. One quote neared $1,000/month and still didn’t have the basic features I wanted. That is absurd, especially considering how many of these tools are built on top of the same open-source foundations data journalists and developers have used for well over a decade.

The gap

Two things are true at once, and neither one serves the person who just needs a clear chart.

First, existing tools are expensive and overbuilt. Paying enterprise SaaS prices to plot a bubble chart, a Sankey diagram, or a custom export-ready visual is ridiculous.

Second, coding agents aren’t the answer either. Yes, an agent can generate a chart almost instantly. But it can also quietly reinterpret your dataset and make decisions about what doesn’t need to be shown – this is a real risk if you’re coming to the dataset fresh. And the moment you want to customize anything, you open the JS file and are met with a wall of spaghetti code. It’s hard to edit, hard to restyle, hard to fit to a brand guide, and hard to maintain. Even just changing a line width, adjusting an animation, or swapping in a custom shape could ruin your day.

This matters more than it every has. Data isn’t slowing down. More of our work, news, research, marketing, public policy, and daily decision-making is shaped by datasets that arrives so fast that we don’t have a second to step back and interpret it. If we can’t take a beat to turn that data into something we actually understand, it might as well stay hidden… or worse, get used to exploit what we believe.

A clear visualization shouldn’t require an enterprise contract, a specialist team, or a weekend of code. So I started building Lugsail.

What Lugsail is

Lugsail is a browser-based data visualization tool for quickly turning data into clean, export-ready charts. Import or paste your data, clean it up, drag variables onto chart fields, adjust the styling, and export results.

Your data never touches a server. It stays in your browser.

This matters if you’re a data journalist working with sensitive material, a scientist exploring unpublished research, a marketer using proprietary campaign data, or anyone who just wants to see how their numbers look as a Sankey, Sunburst, Point Map, or basic line chart without uploading data somewhere that might sell it elsewhere.

Lugsail is still an MVP. It isn’t trying to replace every enterprise dashboard, BI platform, or custom D3 project. It has a few simple goals:

1. Be a data tool that’s fast, affordable, accessible, and private – a way to explore your data visually so it actually makes sense to you.

2. Never force bloated software or disposable agent-generated code on you.

3. Handle the tedious parts of data viz with thoughtful agentic workflows that don’t touch your data – on-brand color schemes, style guides, finicky axis alignments.

4. Give you access to the data you need today.

Go check it out: lugsail.app