What was the need?

Accurate weather data combined with careful data science and easy to use design can help parents, teachers, and students predict a surprise day off from school. Snow Day Calculator answers the burning question of “Will I have a Snow Day?” and channels the excitement into a vibrant and loyal community.

What was built?

Snow Day Calculator generates wickedly accurate predictions for all zip codes in the United States & Canada by feeding real-time weather data to a proprietary algorithm. The service, which is offered through both a website and mobile apps, quickly garnered praise and a significant media attention and social media following.

Where are we now?

Snow Day Calculator receives over 6 million unique visitors and generates multiple revenue streams including non-standard streams like local advertising deals, licensing agreements, and app downloads.

What was the need?

Competitive swimming is all about gradually pushing athletic limits through training. For the young swimmer, frustration can set in quickly if progress is not measured. Can athletes use data-driven insights to train smarter and harder?

What was built?

Swim Warrior provides training tools for the modern swim team. Complete with stepwise progress testing, personalized feedback, and gamified goal setting, the service is nurturing a generation of finely-tuned swimmers.

Where are we now?

Today, Swim Warrior is completing iterative product testing cycles with one of the largest teams in Arizona. Swim Warrior will graduate from it’s pre-startup phase by launching a campaign through the largest industry media outlet.

What was the need?

In Winter 2018 – there was a gaping market void – no headphone jacks on flagship phones but only one premium bluetooth headphone on the market priced at over $180. We knew that headphones experience 75% of annual sales during the holiday shopping season because they make such great gifts and that there was a clear latent demand for a premium but cheaper alternative product that a wider audience could buy.

What was built?

We partnered with electronics supplier which imported and sold products to retailers for over 30 years but whose business took a hit from the Amazon-effect. We piggy-backed on an existing supply chain & manufacturing process to source premium products at a competitive price and gracefully recovered profits for our partner by beginning to market and sell directly to consumers, bypassing Amazon, and creating a brand for the latent demand we anticipated.

Where are we now?

Within 1.5 months of the initial launch, the original thesis of latent market demand centered around the holiday shopping season was clear. We achieved six-figures in monthly sales and a massive customer base which we could provide a premium product at a fraction of the price. Our launch, timed perfectly to holiday demand, beat products from established electronics manufacturers to market (who released in January/February) because were were able to predict demand and execute quickly.