TriDot
TriDot and RunDot are AI-powered training platforms under the Predictive Fitness umbrella. TriDot handles triathlon training, RunDot handles running. Both use data science to optimize training plans for athletes at every level, adapting in real time based on performance data. They're the kind of product where the tech is genuinely complex but the athlete-facing experience needs to feel simple and motivating.

The challeges we overcame
Predictive Fitness runs two distinct brands (TriDot and RunDot) that share DNA but need their own identities. The existing Webflow builds had inconsistencies in class naming, image optimization, and SEO. They needed a comprehensive audit, a scalable design system that works across both brands, a shared component library so new landing pages could be spun up quickly, and a media/resource hub to house their growing content library (videos, blogs, podcasts).
What we did to make it better
We started with a full technical audit using Ahrefs, GTMetrix, and Lighthouse, then delivered a prioritized action plan and implemented the fixes across both sites. From there, we built a shared design system and component library in Figma, translated it into a Webflow shared library usable across multiple projects, and developed landing pages using that system. We also designed and built a media/resource page with a backend database structure, search, and filtering by content type and topic. The team got a training video on how to build pages from the library themselves.
