Awra is not another tracker. If you log meals, track sleep, or wear a fitness wearable — you already have the data. What you're missing is what it means *together*. Every morning, Awra reads your last 7 days — food, sleep, movement, hydration, habits — and generates one short paragraph that explains the pattern. It doesn't tell you what to do. It tells you what's happening.
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Maker
📌
Hey Product Hunt 👋 I’m Roman, and I built Awra solo.
The problem: I was tracking food, sleep, activity, hydration, habits, all of it. But I still couldn’t answer a simple question: “Why do I actually feel good or bad today?”
Every app gave me charts, scores, and trends. None of them explained how the pieces connected.
So I built Awra.
Awra looks at your last 7 days of health data and writes you one clear insight every morning. It focuses on patterns where multiple things overlap and actually mean something together.
Not:
“Sleep more.”
More like:
“Your energy drops most on days where both sleep and hydration decline together, even when activity stays consistent.”
Awra is not:
* A coaching app giving prescriptions
* Another dashboard full of metrics to decode yourself
* Generic AI advice based on population averages
The goal is simple: turn personal health data into explanations that actually make sense.
What I’d love from this community:
* Brutally honest feedback on whether the insights feel genuinely useful
* Ideas from people who’ve felt overwhelmed by health data but under-informed by it
Awra sends anonymized data recorded over the last 7 days, including nutrition, water intake, activity by category (runs, gym sessions, meditation, etc.), supplements (if logged), and sleep data. The AI analyzes patterns and correlations across all of these inputs together.
So to answer your question directly: the displayed datapoints represent everything the user has logged during the past 7 days.
Mailwarm
Does it ever show the specific data points it used for the paragraph so you can sanity check the pattern?
@karimbenkeroum Thanks for the question!
Awra sends anonymized data recorded over the last 7 days, including nutrition, water intake, activity by category (runs, gym sessions, meditation, etc.), supplements (if logged), and sleep data. The AI analyzes patterns and correlations across all of these inputs together.
So to answer your question directly: the displayed datapoints represent everything the user has logged during the past 7 days.