Visualizing Financial Markets with Main Street Data

Main Street Data is a research platform startup for financial data that makes it easy for investors and analysts to access clean and affordable market data and insights.

In addition to traditional company financial data (like earnings releases), Main Street Data also provides 1000+ company-specific KPIs (key performance indicators) to help analysts better understand businesses.

We were lucky enough to talk to Cofounder Julian Matos about Main Street and some of the things they’ve been working on.

Let’s get into it!

Main Street Data is a subscription service that provides financial data visualization and KPI tracking for analysts and investors

Railway: Help us set the scene a little bit. What’s the founding premise or “big insight” that led to Main Street Data as a company?

Julian: The insight came from realizing that visual data is the most efficient medium to display and digest financial information and that company-specific operating metrics are truly powerful.

So when you use Main Street Data, you’re able to search for a company and within seconds have a solid overview of each financial statement with KPIs as well.

That’s the magic part of it.

Here we took a look at $NVDA to see what we could learn about cashflow, revenue by geography, and more

Railway: We noticed some testimonials on your site in particular calling out the useful earnings datasets that you provide. Why are earnings in particular difficult to get right from a data perspective?

Julian: Standardized data itself is easy to find, but many data providers tend to take multiple days — sometimes over a week — to update earnings data.

We update our data within minutes of a company reporting earnings.

This allows users to get the information and make sense of it in a visual form as soon as possible so they can make informed decisions — almost no other platform can offer this.

Railway: How do you make that work so quickly? Curious if you can tell us anything about that.

Julian: During earnings season, our data team is working around the clock to ingest KPI data as soon as it is released. Our system can ingest, error-check, and visualize data within seconds.

Railway: We’d love to hear about the proprietary KPI datasets mentioned earlier. What kinds of insights have you been able to help your customers unlock or understand with this data?

Julian: Company-specific operating metrics are just as, if not more, useful than standardized metrics.

For example, as an investor in $META, it’s as important for me to see the quarterly numbers on user growth as it is to see revenue or free cash flow growth. Otherwise, I’m simply looking at financial data without any context of the underlying business and the metrics that matter most.

We have over a thousand of these KPI datasets on the site and continue to add to the list daily.

Here we compared a few companies: $NVDA, $AMD, and $SMCI

Railway: How does Railway fit into the picture? We’d love to hear a bit about how Railway is helping to make Main Street Data successful.

Julian: As a startup, we are hyper-focused on our product and delivering the best financial information to our users.

Railway makes it incredibly simple for us to iterate and deploy new features without having to spend hours setting up infrastructure.

As Main Street Data has grown, we’ve never had to worry about scaling to thousands of DAUs because everything is handled seamlessly in Railway — it’s been a great experience so far and we’ll be using railway for a long time.

Railway: If our readers want to find out more about Main Street Data, where should they go? What’s the best place to start?

Julian: Readers can visit mainstreetdata.com where they can learn more and create a free account!

For specific questions or inquiries you can email our CEO at [email protected].