rivva

@ladefalobi You have been awesome Lade!

@ladefalobi that’s good 👍🏻

@tereza_hurtova  thanks for asking.

We support both.

On iOS, Rivva connects to Apple Health, which allows us to read sleep data from wearables like Oura, WHOOP, Fitbit, and others that sync there. We start with sleep because it is a reliable signal for circadian rhythm, which has a strong influence on cognitive energy. That data is pulled in automatically.

On web, energy is currently based on manual sleep and wake inputs. We are adding direct wearable connections there as well, and releasing Android soon, so Android users can have the same experience.

The goal is to combine passive signals with light manual input, rather than asking people to track everything themselves.

@klara_minarikova 

This is such a good question.

How long does it take rivva to learn your rhythm? We start with wearable data from day one, rather than waiting to learn everything manually. During onboarding, if you connect Apple Health, we look at your sleep history over a couple of weeks to establish a baseline energy pattern. That gives Nia an initial view of when you are typically sharper versus when energy dips. From there, the baseline gradually adjusts as new data comes in and you make changes to your schedule.

Can it differentiate between temporary disruptions (bad sleep week) versus actual pattern changes? Yes. The system is designed to avoid overreacting to short-term changes. A few nights of poor sleep or a single disrupted week will not immediately shift your energy rhythm. We look for consistency over time before adjusting the baseline, so changes only happen when a new pattern has clearly emerged rather than reacting to one-off disruptions.

@adam_lab Great question, Adam.

We start with wearable data from day one, rather than waiting to learn everything manually. During onboarding, if you connect Apple Health, we look at your sleep history over a couple of weeks to establish a baseline energy pattern. That gives Nia an initial view of when you are typically sharper versus when energy dips. From there, the baseline gradually adjusts as new data comes in and you make changes to your schedule.

In terms of unpredictability, today we treat meetings as a hard constraint. If a meeting appears on your calendar and conflicts with a scheduled task, the task is automatically moved. Similarly, if you add a higher-priority task or something with a tighter deadline, lower-priority work is rescheduled to make space.

The goal right now is not to perfectly predict every bad afternoon, but to reduce the amount of manual replanning you have to do when the day inevitably changes.

@sasha_dikan Right now, rivva is mainly used for work. People use it to capture tasks from emails, view everything planned alongside the planner, and have Nia, the AI assistant, schedule your work into the week based on your availability and energy, rather than manually deciding when to do it.

A typical flow looks like this: tasks come in from email or are added in chat, rivva looks at your meetings and your energy patterns, and then suggests when to do focused work versus lighter admin and schedules it on your planner in one click.

You can also ask the chat to batch similar tasks into a time block, e.g., all work around "rivva launch into my Thursday afternoon" or move work around when the day changes.

Some people include personal tasks, but the core use case today is reducing planning effort and decision fatigue around work, not tracking habits or life admin.