the backstory

I spent seven years building dashboards that nobody looked at.

Enterprise reporting systems. Business intelligence platforms. The kind with more acronyms than features and more features than anyone could ever use. I've built dashboards that took six months to design and were forgotten six seconds after launch.

The pattern never changed. Executives would ask for "full visibility into their data," so we'd give them 47 charts, 12 filters, and a drill-down feature that made the engineering team proud. Then they'd call an analyst anyway and ask for the one number they actually needed.

The best dashboards were always simple enough to fit on a post-it.

Then I started talking to Shopify store owners.

Friends running e-commerce businesses on the side. People selling handmade candles, vintage watches, custom pet portraits. Some doing a few thousand a month, others pushing six figures.

They were all asking the exact same question I'd heard from Fortune 500 CEOs:

"How much did I actually make?"

Same question. Same frustration. They'd built their stores, run their ads, fulfilled their orders - and still couldn't tell you if last month was profitable without digging through spreadsheets for an hour.

The tools that existed weren't helping.

Spreadsheets that took four hours to update every week. Analytics apps with fifty charts and zero clarity. Profit calculators that required an accounting degree to configure. Accountants who'd get back to you in three weeks.

Every profit tracking app was built by developers who loved dashboards. They'd add cohort analysis, customer segmentation, year-over-year comparisons - features that enterprise clients expect and small store owners never use.

But someone doing $25k a month doesn't need cohort analysis. They need to know if they can afford to run that Meta ad next week.

So I built the opposite.

One number: your real profit, after everything. Updated with every order, not at the end of the month. Setup in minutes, not days. No onboarding calls, no training videos, no 14-day trials you forget to cancel.

If a feature doesn't help you understand your profit, it's not in Skim. That's the rule.

Data should make decisions easier, not harder. Every screen should answer a question you're actually asking. And if you need a tutorial to understand your own business, the tool has failed you.

"The best analytics tool is the one you actually look at."

That's it. That's the whole philosophy.

pg. 5