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KULG
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KULG simplifies how runners track and understand their training and recovery metrics, offering personalized AI-driven insights and tips to help them progress towards their goals. Whether they're training independently or with a coach, KULG empowers runners to focus on what works best for them.
The challenge KULG addresses:
Runners often find themselves overwhelmed by data but struggle to make sense of it in relation to their personal training. Many rely on apps that score performance without considering individual context, leading them to chase metrics instead of listening to their bodies. Balancing training and recovery becomes difficult, often resulting in illness, injury, or loss of motivation. Coaches, in turn, receive delayed feedbackโoften when itโs already too late to make adjustments.
Coaches need timely, continuous feedback to guide their athletes effectively. This includes both performance metrics and qualitative data, such as perceived effort, sleep quality, and overall wellbeing. Existing tools like TrainingPeaks cater to multi-sport athletes but offer limited value for running-specific coaching. Meanwhile, platforms like Strava and Garmin arenโt designed for effective athlete-coach collaboration. Many coaches still rely on manual systems like Google Sheets and email, which creates unnecessary admin work. Runners are often slow to provide feedback, seeing little immediate benefit, and this delay limits a coach's ability to offer timely guidance.
KULG bridges this gap by focusing solely on running. Itโs intuitive, enabling runners to clearly understand their progress without needing constant coach interpretation. For coaches, it automates feedback collection, streamlining collaboration and reducing manual work. The result is a smoother, more efficient coaching relationship where runners stay motivated and coaches stay informed.
LeadPlotter
KULGKULG's answer:
The idea for building KULG was born as its founder Maris started coaching runners and recognized the need for a better overview and faster feedback to provide personalized and effective guidance. As a runner herself, having tried various analytics tools for years without finding the right solution, she had resorted to maintaining her training data in a Google Sheet, which she had used for more than a decade to share the findings with her coach. The methodology she had developed provided profound insights into her training progress, leading to continual improvement and an Estonian masters marathon record.
After tailoring her training analytics approach for the runners she was coaching, Maris discovered that it worked for others as well. She witnessed the remarkable progress her athletes were achieving but, even more significantly, she observed that it instilled a sense of accountability and motivation in runners of all levels. Their progress, often not apparent on a day-to-day basis, became unequivocally clear on the graphs. Following discussions with Jevgeni and Henri, they decided to transform this approach into a more enhanced and automated experience that other runners could also benefit from.
KULG's answer:
Recreational runners who are serious about improving, staying healthy and achieving their goals.
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