Fuel.in syncs with training platforms to create customized nutrition recommendations based on your unique goals and activities. It uses a simple traffic light system to dictate optimal carbohydrate intake before, during and after workouts. This allows athletes to make the connection between training load and fuel needs.
By taking the science-backed approach of “fuel for the work required,” Fuel.in has helped athletes like Ironman CEOs improve body composition and achieve personal bests. The app also supports those recovering from injuries or conditions like RED-S, helping improve health beyond just performance.
Looking ahead, Fuel.in plans to leverage AI named “Scooter” to provide more personalized recommendations and simplify nutrition tracking. The future goal is to help not only elite athletes but the broader population improve their relationship with food and reach their health goals.
Team
- Scott Tyndall: Leading sports nutritionist working with elite athletes and teams, having worked with companies like Toronto Maple Leafs.
- Jonathan Lee: CEO and decade-long triathlete looking to improve his own nutrition, having experiences at Google and Accenture.
Topics
- Origins: Converting sports scientist Scott Tyndall's manual nutrition plans to an algorithmic app with Jonathan's software expertise
- Product: Traffic light system for carbohydrate periodization based on training load and goals
- Impact: Helping athletes optimize body composition, performance and overall health
- Vision: Using AI to provide personalized nutrition guidance at scale beyond just the sports world
Lessons
- Start with a small niche target market to refine product before going mass market
- Simplicity in design is key - make things as easy as possible for users
- Focus on genuinely helping customers improve their lives
Quotes
- On the origins: “From rolling pandas to Fuel.in”
- On adoption: “If it was easy, everyone would be doing it”
- On impact: “A healthy athlete is a high performing athlete”