Fort

What is Fort?

Fort is a strength-training wearable designed to support workout tracking without requiring manual logging. The device detects exercises, counts reps and sets, and captures training details to help present a structured view of workouts and how they fit into overall health.

Beyond strength training, Fort also tracks additional health and recovery indicators. These include cardio-related data and general recovery metrics such as sleep and stress, which are presented in the companion app.

Key Features

• Automatic exercise detection: Fort is designed to detect exercises as you train rather than relying on manual entry.
• Rep and set counting: It counts reps and sets to capture training volume and structure.
• Training analytics: Fort provides a training-focused view of workouts based on the captured strength-training details.
• Cardio-related tracking: In addition to strength training, it tracks cardio-related data.
• Recovery and wellness metrics: Fort includes general recovery indicators such as sleep and stress.
• Sleep-linked recovery scoring (in-app): Sleep-linked recovery scoring is presented through the companion app.

How to Use Fort

1. Wear Fort during strength training. Fort is intended for strength workouts and is designed to detect exercises while you move.
2. Train normally. You do not need to manually log every exercise, rep, or set—Fort is built to capture these details automatically.
3. Review your workout details in the companion app. After training, view training analytics that summarize what Fort detected and counted (including reps and sets).
4. Check additional health and recovery metrics. Use the companion app to review broader metrics such as sleep and stress, along with sleep-linked recovery scoring.

If you want a more structured routine, you can use the app’s summaries to compare workouts over time and understand how training may align with recovery metrics like sleep and stress.

Use Cases

• Tracking strength workouts without manual logging: Fort focuses on automatically detecting exercises and counting reps and sets.
• Getting training structure and analytics: Use the app to see a structured view of your workouts based on the captured training details.
• Monitoring recovery alongside training: Review sleep and stress metrics and sleep-linked recovery scoring in the companion app.
• Including cardio-related context: Use Fort’s cardio-related data alongside strength training tracking to round out your activity view.
• Balancing training with wellness indicators: Combine workout analytics with general recovery indicators to keep an eye on how you’re doing beyond performance metrics.

FAQ

Does Fort require manual logging of exercises, reps, or sets?

Fort is designed to detect exercises and count reps and sets automatically, aiming to reduce the need for manual logging of workout details.

What does Fort track besides strength training?

In addition to strength training metrics, Fort tracks cardio-related data and general recovery indicators such as sleep and stress.

Where can I see sleep and stress metrics?

Sleep and stress, along with sleep-linked recovery scoring, are presented in the companion app.

What kind of training information does Fort provide?

Fort captures training details and provides training analytics, including counts for reps and sets, to support a structured view of workouts.

Alternatives

• Other wearable fitness trackers with strength workout support: Look for wearables that offer automatic workout detection and rep/set tracking or strength-training analytics.
• Handheld or app-based workout trackers: Solutions that use manual logging (or semi-automated input) to count reps/sets and produce training analytics.
• Cardio and general health wearables with recovery features: Wearables that emphasize sleep and stress monitoring and may include cardio tracking, with varying levels of strength training support.
• Specialized strength training apps/devices: Apps or devices focused on exercise tracking and workout analytics, typically with user-driven logging compared to fully automatic detection.