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Lifestack

Lifestack is a calendar app that integrates your health data to create energy tips.

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What Is Lifestack?

Lifestack is the first daily planner app that connects wearables (e.g. Apple Watch, Oura Ring, WHOOP, etc), calendars, and task lists to help people optimize their day.

It recommends when users are likely to have high or low energy, and suggests when to work, eat, sleep, or rest based on circadian rhythm, sleep quality, stress, and users’ subjective feedback.

Who Is Lifestack for?

Lifestack is designed for people who care about both performance and wellbeing, from high-performing professionals managing busy schedules to neurodivergent individuals (especially ADHD) who struggle with focus, energy crashes, and burnout.

Our users are those who’ve tried traditional productivity tools but found them too rigid. They want a smarter planner that adapts to how their body actually feels each day.

Lifestack Main Features

Energy-Based Scheduling

Visualize your natural energy rhythm throughout the day and plan tasks that match your peaks and dips. Lifestack helps you schedule deep work when your focus is highest and rest when your energy is low, so you can get more done with less effort.

AI Planner

Instead of guessing what to do next, simply ask Lifestack’s AI. Whether you say, “I have 2 hours and low energy. What’s best now?” or “When should I do creative work?”, it gives you personalized, data-backed suggestions based on your current energy, sleep, and stress levels.

Smart Meal & Sleep Timing

Lifestack suggests the best times to eat, based on your energy patterns and recovery data, to keep your focus stable throughout the day. It also recommends optimal sleep and wake times using your circadian rhythm and sleep quality, helping you build consistency and wake up more refreshed.

Reflection & Feedback

Each day, log your mood, focus, and stress levels to help Lifestack understand your patterns more deeply. Over time, these reflections train the AI to adapt to your unique lifestyle and deliver smarter, more personalized recommendations.