AutoSleep vs Vertical

AutoSleep is a sleep-tracking app for Apple Watch and iPhone that records sleep automatically in the background, without requiring the user to start or stop a session. It uses heart rate, motion, and (where available) blood oxygen and wrist temperature data to estimate sleep stages, sleep quality, and a running sleep debt total called the sleep bank. The app integrates with Apple Health and HomeKit, offers a smart alarm that wakes users during a lighter sleep phase, and includes an add-on companion app, AutoSnore, for snore detection. It is sold as a single one-time purchase on the App Store rather than a subscription, and processes data on-device rather than through a cloud account.

Vertical is a science-driven adaptive running coach that leverages AI and personal data to create customized training plans. It distinguishes itself from generic apps by integrating real-world coaching experience and a deep understanding of exercise science, including periodization, load management, and recovery protocols. By combining data from wearables with direct user input on feelings, goals, and life circumstances, Vertical ensures training plans are realistic and adaptable, aiming to reduce injuries and setbacks. The platform offers a conversational approach where users can discuss their goals, injury history, and preferences with the AI coach, leading to a collaborative plan-building process. It adapts dynamically to missed workouts, fatigue, or changes in schedule, ensuring the user never "fails" a plan, but rather has it intelligently reshuffled.

• One-time purchase price with no ongoing subscription fees
• Fully automatic tracking that does not require remembering to start or stop a sleep session
• Detailed metrics including sleep stages, SpO2, respiration rate, and wrist temperature on supported hardware
• On-device processing with no account or login required for basic use

• Personalized and adaptive training plans based on user data and scientific research.
• Integrates wearable data with subjective user feedback for holistic coaching.
• Conversational approach allows for plan customization and flexibility.
• Focuses on injury prevention and sustainable training.

• Requires an Apple Watch for automatic tracking; iPhone-only use is far more limited
• Advanced metrics like SpO2 and respiration depend on specific newer Apple Watch models
• Interface and terminology (sleep bank, sleep debt) have a learning curve for new users

• Subscription-based for full features after a trial period.
• Reliance on wearable data means users without devices may have a less optimized experience.
• The AI coach, while advanced, may not replicate the nuanced intuition of a human coach for all users.