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eugene

@ezn.code

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building apps
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🤖 @eeezeen
💼 @design.samsung

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AirPods track your mechanics. Smartwatches track your efficiency.

We’re bridging the gap between your fav devices to build the ultimate running ecosystem.

🎧 AirPods Motion Insights:
└ L/R Balance | Cadence | Force | Pitch

⌚️ Smartwatch Performance Metrics:
└ GCT | VO | Power | Length

All your data, unified.
The most intelligent running partner is on the way.

Stay tuned. 🚀

#swiftui #devlog #running #runner #runningapp taken in London, United Kingdom by @ezn.code

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3 months ago

A baseline built for your body. Not anyone else’s.

The algorithm works in 3 steps.

1. 120 spm → the app knows you’re actually running.
2. Outliers removed → keeps the data clean.
3. 100 stable samples → your personal baseline is set.

Your balance skews left? That’s your starting point.
Not a default. Yours😎

Next, turning all of this data into something actually useful. taken in London, United Kingdom by @ezn.code

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3 months ago

Took the app outside for the first time🏃🏃

GPS ✅ Force ✅ Cadence ✅
L/R Balance 🙂‍↔️ Pitch 😵‍💫

The gyroscope was moving way too fast. Every tiny head movement threw the data off completely.

Turns out raw sensor data is useless without a baseline.
Next mission: building the algorithm that fixes this.

#swiftui #appbuilding #iosdev #running #runningapp taken in Battersea Park by @ezn.code

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3 months ago

Weekly Recap🧑‍💻
1. Retrieving Information from AirPods
2. Building the Basics of a Running App
3. Adding Liquid Glass Interactions taken in London, United Kingdom by @ezn.code

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3 months ago

Now we’re cooking 🍳
Design first. Then the code💻

#swiftui #runningapp #figma #appbuilding #iosdev taken in London, United Kingdom by @ezn.code

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3 months ago

Building the app i need🏃
Left knee. AirPods. Swift.

#iosdev #swiftui #appbuilding #creativecoding #newmediaart taken in London, United Kingdom by @ezn.code

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3 months ago