A money management platform for independent beauty professionals. I started with service-pricing calculators and expanded into a dashboard for expenses, income goals, quotes, and client activity.
Development journey & debuggingThe embedded video could not load. The direct HD link remains available.
A silent walkthrough of the dashboard in progress, including client activity, goals, price menus, and saved calculations.
I built Tune Hustle’s early audience without paid advertising. From May 24 to August 21, 2026, the calculators reached 2,190 active users. Google organic search was the leading source of traffic, followed by direct visits, with the largest audience in Latin America.
Google organic search was the largest source of active users and sessions, ahead of direct traffic. The source report below shows how people discovered the calculators.
Result events came predominantly from organic searchOrganic search generated 1,002 of the 1,296 recorded result events, or 77.31% of the core action in this window.
Result events show visitors reaching the calculator output rather than only viewing the landing page. They indicate use of the core interaction, not purchases or unique completed customers.
I added an install-app banner for Tune Hustle’s progressive web application (PWA) to encourage repeat use. It appears six seconds after the first completed calculation in each session, once the result is visible. This gives people time to experience the calculator’s value before deciding to install it for faster access.
Returning users recorded in GA4The report below also records 91 install_app_click key events, including 74 from organic search. I track this interest in faster access alongside return visits as early signals of repeat use.
What these signals tell me: an install_app_click records a click, not a confirmed installation. These reports show return visits and interest in installation; they do not isolate how much the banner contributed to those return visits.
Usage extended beyond one local market. Mexico led the country report, followed by the United States, Argentina, and Brazil, making Latin America the clearest early concentration.
Reading the evidence honestly: a result event is an event count, not a unique person, purchase, or retained customer. These figures show discovery and use of the calculator's core action; they do not yet prove revenue, long-term retention, or full product-market fit.
I started with a calculator that offered a quick answer to a pressing pricing problem: covering supplies, overhead, and working time while leaving a sustainable profit. It helped independent beauty professionals understand what to charge, what they would take home, and what they would earn per hour.
As people used the calculators, I tracked key events such as generating a result. Seeing visitors reach that answer gave me an early signal that the tool was addressing the pricing need, and encouraged me to build on it.
I decided to create an easy-to-use money management platform for independent beauty professionals, connecting their calculations with clients, income goals, expenses, quotes, and price menus. The aim is a lean solution to their everyday money management needs. The dashboard remains in active development, testing, and refinement.
The idea started from a recurring gap I noticed in service pricing: products and market rates are easy to discuss, while shared expenses, working time, and a sustainable margin are easier to miss. I created Tune Hustle to put the whole calculation in one clear, phone-friendly flow.
“What should I actually charge for this service?”
The first release begins with the answer someone needs today. It does not require a complete business system before it becomes useful.
The broader idea could have become a large business-management platform immediately. I deliberately narrowed the first audience, removed setup work, and made the result explain itself.
Nails, lashes, brows, PMU, waxing, and salon services share a repeatable cost structure: consumables, appointment time, and overhead. That made beauty a focused starting point rather than a limit on the longer-term idea.
Narrow the audienceSpreadsheets can model anything, but they also require formulas, custom tabs, and upkeep. Tune Hustle trades that flexibility for a clear sequence where every field connects to the pricing decision.
Reduce setupThe result separates total cost, take-home profit, labour, and estimated hourly earnings. The aim is to help someone understand the recommendation and make a decision—not simply accept a generated number.
Build trust through clarityThe shipped flow converts monthly overhead into a per-client cost, keeps labour and profit visible, and presents price, hourly earnings, and total cost together. Results can also be saved or shared from the interface.
I started Tune Hustle in Visual Studio Code with GPT-4 helping me work through implementation. The project has grown through repeated decisions, testing, and revisions as I learned what the product needed.
I worked with local files in Visual Studio Code and used GPT-4 for implementation help, reviewing the result and refining the visual design and behaviour.
The beauty calculators brought supplies, overhead, time, and pricing into a guided flow. Analytics then gave me evidence about discovery, calculator use, and the audience.
I expanded the scope into saved calculations, menus, quotes, goals, expenses, and clients. The workflow now includes GitHub review branches, Cloudflare previews, and checks before production releases.
The quote editor had to remain understandable through saving, publishing, and retrying. This example comes from the AI-assisted implementation and its recorded regression checks.
My role: I set the expected user experience and release priorities, review the behaviour and test evidence, and request corrections. AI-assisted code changes and automated checks support that review.
Tracking calculator use and result-generation events showed me that people were reaching the answer the tool was designed to provide. I took that as an early signal to extend its value into everyday money management.
How could the value of one calculation carry into the rest of a beauty professional’s working day?
That led me to connect saved calculations with clients, income goals, expenses, quotes, and price menus in one simple platform. The next question is whether this lean approach gives independent beauty professionals a useful reason to return.
Organic acquisition, result events, and 237 returning users provide early evidence that people are finding the calculators, using the core output, and coming back.
The data does not establish durable retention, paid demand, or product-market fit.
The dashboard tests whether saved work, goals, and progress are more valuable than another isolated calculation.
The dashboard brings saved calculations, clients, income goals, expenses, quotes, and price menus into one money management platform. I am refining how these tools connect so independent beauty professionals can carry a pricing calculation into their day-to-day business activity.
A persistent workspace that connects saved pricing decisions to financial goals and a practical pace of work.
Immediate help with service costs, overhead, time, earnings, pricing, and margin.
Saved work, menus, quotes, goals, expenses, and client activity, with ongoing testing and refinement.
Expansion beyond beauty remains deferred until the dashboard proves useful repeat behavior.
Status reviewed October 2026: the free calculators are public. The account-based dashboard is implemented and has been deployed, with sign-in and continued release testing. The walkthrough and goal screens above document that work; they are not evidence of dashboard adoption, revenue, or proven retention.