Fitness analytics platform GetFast.ai has launched a Claude Connector in beta that pipes your Strava running data directly into Claude, turning the AI into a personalized running coach.
GetFast already analyzes run data to predict marathon finish times. The Claude Connector extends that by letting you have a conversation with Claude that has full context on your training history, pace trends, and race results pulled from Strava. Instead of copying stats into a chat window, Claude can see your actual workout data and respond accordingly.
The practical use case here is straightforward: ask Claude to build a training plan based on your real mileage and pace, get feedback on whether you're overtraining, or have it analyze why your last race went sideways. GetFast's Strava club has nearly 1.8 million members, so the potential user base is substantial.
This is one of the more tangible examples of connecting AI assistants to personal data sources. The pattern - take a domain-specific dataset, feed it to a general-purpose LLM, get personalized analysis - is showing up everywhere from finance to health. Running data is a particularly clean fit because it is structured, time-series, and has clear metrics that even a non-expert can act on.
The connector is currently in beta with no public pricing listed. GetFast also offers a RaceSPT beta tool and marathon dashboard alongside the Claude integration.