For most of my life I tried to be someone else. I'd find someone I admired, decide they were better than me, and copy them. That mindset pushed me into a business I never enjoyed and only started because I looked up to one specific guy. It failed. I felt completely lost.

Around that time I was obsessively tracking my sleep with a Whoop, trying to optimize it. I kept getting good recovery scores. And I was still exhausted, yawning through entire afternoons, dead by 2pm. That's when it clicked: the score doesn't do anything. It just confirms you slept well or badly. Cool. Now what? Knowing isn't fixing.

So I built the thing I actually wanted. It takes the data your wearable already collects sleep, recovery, heart rate, and turns it into a daily protocol instead of another number. It tells you what supplements to take based on your metrics, predicts your most productive hours and gives you the exact time window when you should do deep focus tasks and light focus tasks, it tells you how much caffeine you have in your system left based on your first coffee taken and notifies you when you should take the next caffeinated drink for maximum productivity, it even tells you when to nap so your energy lasts the whole day instead of crashing and much more...

It's on the App Store as RizeAI https://apps.apple.com/us/app/rizeai-maximize-your-energy/id6762402079. i built by myself, it's early stage right now, and I want honest feedback, what's confusing, what's missing, what you'd never use. Tear it apart.

Hello,
I’ve been working on a driving app called Speedometer: Driving Tracker for a while, and it recently got approved for CarPlay in the Driving Task category.

That approval process is surprisingly strict - very limited UI, no custom buttons, and a strong focus on safety; so getting through it meant a lot.

The app originally started as a simple speedometer, but over time, I expanded it into something more like a driving companion. It tracks trips, shows analytics, and tries to make driving data more visual instead of just numbers.

Some things it currently supports:

• Trip tracking with detailed stats
• Route playback (including 3D-style views)
• Visual trip sharing
• Fuel, maintenance, and expense tracking
• Driving pattern insights and comparisons
• Video recording with speed + map overlays
• iCloud sync across devices and backup
• Privacy-focused (no ads or tracking)

The idea is to offer something beyond what most built-in dashboards show, while still working within CarPlay’s limitations.

Would love to hear any thoughts or feedback.

Built an iPhone + Apple Watch app that tells you what your body is trying to say

I've been working on an app called Auralis over the past few months.

The idea started because I realized my Apple Watch collects a ton of health data, but I never actually understood what any of it meant. Heart rate, HRV, respiratory rate, sleep stages, resting HR... it all felt like disconnected numbers.

So I built an app that tries to answer the question:

>

Some of the things it does:

• Turns sleep data into a Sleep Score with explanations.
• Calculates an Energy/Readiness Score using multiple HealthKit metrics.
• Explains HRV, resting heart rate, respiratory rate, and other health metrics in plain English.
• Syncs with Apple Watch and uses HealthKit data.
• Shows trends instead of just raw numbers.

The fun part wasn't the UI—it was figuring out how to combine all these different health signals into something that actually feels useful.

The project is built with:

• SwiftUI
• HealthKit
• WatchConnectivity
• Apple Watch integration
• Django backend for analytics and future AI features

This has probably been the biggest solo project I've built so far, and it's taught me way more than any tutorial ever could.

I'd genuinely love feedback from other builders:

• What would you add?
• What health insights do you wish your Apple Watch gave you?
• Any features you'd find genuinely useful?

Not trying to spam—I'm mostly interested in hearing what fellow builders think and what you'd improve.

Check the app link in bio.

Body Vitals:Health Widgets - Bloomberg Terminal For Your Body

I built Body Vitals - an iPhone health app where the widget IS the product and correlation is the killer feature.

What problem does it solve?

Cross-app health correlations that no single wearable can compute - Garmin + Oura + Strava + MyFitnessPal all feeding one readiness picture.

Here is the problem every health app ignores: Strava knows your run but not your sleep. Oura knows your HRV but not your caffeine. Garmin knows your VO2 Max but not your nutrition. Every app is a silo. Your body is not.
Body Vitals reads from Apple Health - the one place all your apps converge - and surfaces what none of them can individually.

Why use this instead of alternatives?

The correlation engine:

The Trends & Correlations screen runs 30-day Pearson-r scatter plots across your actual data:

Sleep hours vs HRV next morning
Mindfulness minutes vs resting HR
Caffeine intake (MyFitnessPal) vs overnight HRV
Training load vs recovery score
Daylight exposure vs sleep quality
One plain-English sentence per pair, computed on-device from YOUR numbers. Not a generic caption. Not a vibe. A real statistical relationship from your life.

And the AI Daily Coaching cross-references it all in plain language:

"HRV is 18% below baseline and you logged 240mg caffeine via MyFitnessPal. High caffeine suppresses HRV overnight."
"Your 7-day load is 3,400 kcal via Strava and HRV is trending below baseline. Ease off intensity today."
"VO2 Max of 46 and elevated HRV signal peak readiness. Today is ideal for threshold intervals."
No other app can say any of that because no other app reads from all those sources at the same time.

Everything else that makes it different:

Readiness Radar - five horizontal bars (HRV, Sleep, HR, SpO2, Training Load) showing exactly which dimension drags your score. Oura gives you one number. This shows WHERE the problem is.

Recovery Forecast - slide a sleep target AND planned training intensity to simulate tomorrow’s predicted readiness before you commit.

Five composite scores on the large home screen widget:
Longevity, Cardiovascular, Metabolic, Circadian, Mobility - each backed by named peer-reviewed research, each combining multiple HealthKit inputs into a 0-100 number.

Biological Age - computed from VO2 Max, mobility, HRV, sleep consistency.

Zone 2 Tracker - auto-detected from raw HR using San Millan & Brooks (2018). Ignores whatever zones Garmin or Strava assigned.

Acute:Chronic Workload Ratio - Gabbett (2016, BJSM) injury risk bands. Flags when A:C crosses 1.5. Flags undertraining below 0.8.

Allostatic Load - McEwen (1998). A stress-burden index no other consumer app computes.

Menstrual Cycle Phase Intelligence - suppresses false HRV anomaly alerts during luteal phase. That dip is expected. The app knows.

Daily Capacity and Focus Readiness - on-device blends of readiness, sleep debt, HRV, and circadian factors.

Anomaly Timeline - 7 anomaly types with coaching notes: HRV crashes, elevated HR, low SpO2, BP spikes, glucose spikes, low walking steadiness, low daylight.

Neural AI Health Coach - conversational, runs via Apple Foundation Models on your iPhone. Ask it anything. Nothing touches a server.

Widget stack (free + Pro) - small vitals gauges, medium sleep/activity/alert widgets, large Health Command Center and Weekly Pattern grid, Apple Watch complications (37 metrics, 2x2 grid, live HR), lock screen, StandBy.

Adaptive readiness weights - after 90 days, the algorithm recalibrates to YOUR signal variance. If sleep is your most volatile metric, it gets weighted higher. Population averages are the starting point, not the endpoint.

Available in 21 languages.

Cost:
Free - Many core features and widgets.
Weekly
Yearly
Lifetime

Appstore link:
https://apps.apple.com/us/app/body-vitals-health-widgets/id6760609127‬

Currently running:
Lifetime Deal @ 60% OFF - monthly offer.
https://apps.apple.com/redeem?ctx=offercodes&id=6760609127&code=OFF60

Visit - https://www.escapethematrix.app for more details.

Please let me know if this app helps you in any possible way to keep you informed with your health metrics.

hey everyone, just shipped punchwatch to the app store and looking for early users.

it turns ur apple watch into a boxing coach. tracks punch type, form quality, and speed in real time. no phone needed at the gym, zero setup.

giving lifetime subscriptions to the first 50 ppl who download it. would genuinely love feedback on the detection accuracy and the session summaries.

apple store: https://apps.apple.com/us/app/punchwatch/id6762735524

https://apps.apple.com/us/app/airspace-live-flight-radar/id6781411574

Im a student pilot and a programmer. Making this made my inner self happy

TLDR: VOROM is a privacy-first all-in-one strength & cardio gym tracker competing with Hevy and Strong. Other gym trackers only focus on one, VOROM combines both. And now you can import running history from Strava via Apple Fitness and gym history from Hevy/Strong. You don't need to start from zero using VOROM. Give it a try!

Why is your app better than the top names?

- You can create complicated Left and Right variations with Dropsets within Supersets, which I found no other gym trackers can do it well (I spent so many time on the logic to make it bullet-proof).

- One issue I’ve been struggling with other gym trackers is that none has the ability to convert KG/LBS per exercisein a live workout using Apple Watch. So I made this feature and it will remember your choice for the next workout. (Another nightmare for the code logic, spent so much time on perfecting it)

- Able to adjust the % of secondary muscles contributing to your weekly number of sets, and record 5 heart-rate zones duration for every workout.

- Plan your whole week in advance to know exactly how many sets per each muscle group you will hit, and how many cardio in each HR zone you will train.

- Show volume comparison vs last time for every exercise.

- There’s a feature called Training Mode, which the set weights are calculated from a pre-set % from your e1RM. So your next workout will auto update the weights to achieve progressive overloads. You don't need to be worried about how many weights to add! 
For example, your 1RM is 100kg, you set % as 75%. So the weight will be pre-filled @ 75kg, and you do 12reps, you bump your 1RM to 105kg. Next time you start that same workout, the weight would pre-fill @ 78.75kg. 
And you don't need to be worried about odd weight numbers. It will be round-up to your pre-set weight increment.

- Privacy-first. All data are stored on device.

- Supports importing workout history from Hevy/Strong, running history from Strava via Apple Fitness (Automatic after toggle on in Settings).

- Cares your Health. Supports Body Composition and Vitals Matrix import from Apple Health, including FFMI index (from Settings -> Body Composition History).

- Supports 17 languages.

- Cheaper life time / subscription price than peers.

Apple Watch navigation everyone may want to know

- Tap top-right area to open workout menu: add new exercises, rearrange exercises, custom timer.

- Tap exercise name to open exercise menu: create supersets, add pinned note, split into Left & Right unilateral, delete exercise.

- Tap exercise row to adjust weight & reps, hold "Update" button to undo the set, scroll down to open exercise widgets (rest time, weight increment, kg/lbs, training mode, etc).

Pricing

The free tier is meant to be usable on its own. Pro is mostly for training automation, deeper charts, and power-user planning features.

Pro features pricing (USD): $1.99 / month, $14.99 / year, $49.99 / life time
iOS & watchOS link: 
https://apps.apple.com/hk/app/vorom/id6773281995

Any feedback is welcome and I promise I will keep improving my app!

You can contact me in this post, or DM me, or reach me out via IG/Thread: voromapp, or email at support@vorom.app.

Website with a published Privacy Policy and Terms of Service:
https://vorom.app

Hey everyone, I built a small companion app called Tapd that lets you control Anki Desktop reviews from an Apple Watch. It is finally live on the App Store!

The idea is simple: Anki runs on your computer, the Tapd add-on runs inside Anki, and your Apple Watch sends review commands over your local Wi-Fi. The iPhone app is mainly there to help with pairing.

You can use Tapd to:

• Show answer
• Answer Again / Hard / Good / Easy
• Undo
• Bury or suspend cards
• Use different control modes, including buttons, Digital Crown, Double Tap, and gesture controls

I built this because I wanted a less keyboard-bound way to review cards, especially during longer sessions or when standing or walking around. I also didn’t want to buy a separate controller when I already had a capable device on my wrist.

New updates are coming soon too, including improved gesture controls and voice commands.

Links:

App Store: https://apps.apple.com/app/tapd/id6770032064
Anki add-on: https://ankiweb.net/shared/info/862977605
Website: https://ankiwatch.com/

Tapd is independent and not affiliated with Anki, Ankitects, AnkiMobile, or Apple.

I’d love feedback from Anki users, especially around the control modes and whether this fits into your review workflow. The app is paid to help recover development costs. I’m a student building this on the side, so please bear with me if support emails take a little while, but I’ll do my best to help. I look forward to hearing your feedback :)

20:40

Meet Valenta 💙

Your all-in-one health & fitness companion. Track workouts, nutrition, body metrics, habits, and Apple Health data in one clean and simple app.

• 📊 Health & Fitness Tracking
• 🏋️ Workout & Progress Logging
• 🍎 Nutrition & Daily Habits
• 📈 Insights & Analytics
• 🔒 Privacy-first with Apple Health integration

We're looking for early users who want to help shape the future of Valenta and provide honest feedback.

🎁 How to get it FREE

1. Download the app:: https://apps.apple.com/ie/app/valenta-health-tracker/id6760937182
2. ⬆️ Upvote this post
3. 💬 Comment "Valenta" below

That's it! 🚀

EDIT: Please make sure that u upvote this post! this helps a lot! If u want u can tag some friends that need this app too! Thank you!

Hi,

I've developed an app called Easy Wake that requires you to complete a challenge to turn off your alarm! The challenge can be physical (walk away from your bed), or mental (memory/letter scramble)

Another main function of this app is that it wakes you up in a light sleep stage to help prevent you from feeling tired and groggy in the mornings using your movement and heart rate!

I started to develop this app several months ago because I realised I struggled getting out of bed every day. So I decided I would make something that would pretty much force me out of bed, and it actually works!

I hope people find this as useful as I do, and there’s currently a 50% off lifetime pro for the next 48h!

I'm the creator of Type to Run, that has been Garmin-only for a while now with 4000+ runners and 4.3★ on Garmin's app store. After some initial testing with a limited group, I’m now opening the Apple Watch beta up!

The core feature is Weekly Coach.
It’s an AI coach you chat to, that plans and adjusts your training week by week. In the last few months it's helped me through an Achilles flare-up on the way to setting a new 10k PB, and before that got me my first trail race win. Each week ends with a check-in, where you and the coach agree on next week.

Just want to go for a run?
In the web app you can create single workouts just by typing (”I want a 8k easy run finishing with 6 x 30s strides”) or you can use Instant Run right on the watch. Select for how long you want to run and the type of run (e.g. Fartlek, Threshold, VO2 Max) while you lace up your shoes. In a few seconds you’ll have a custom workout on your watch and can head straight out.

Web app: https://typeto.run
Apple Watch app on TestFlight (WatchOS 11.6 and up): https://testflight.apple.com/join/wjzfyp7u

I'm looking for different types of runners with different Apple Watch models to test all aspects of the watch app. Road or trail. Running by pace, heart rate or power. Structured runners and those who wing it.

Around Christmas, I started building a workout app.

For the first time in a long time, I felt genuinely excited to work on something. AI-assisted coding helped me move incredibly fast. After about 2 weeks, I had a functional MVP. Barely functional, but functional. Two weeks later, I launched it.

Then reality hit.

There are already a million workout apps.

So I kept building.

Not because I thought I could beat all of them overnight, but because I wanted to make an app that I personally preferred over every alternative.

Six months later, I can finally say I’m proud of what I’ve built.

Not because it’s perfect. But because of the details.

A progression algorithm that actually helps you get stronger. During testing, it recommended a deload at exactly the right time. My first session afterward increased by almost 20%.

Recovery statistics that tell me whether I’m undertraining, overtraining, or accumulating productive volume for each muscle group.

Logging with almost zero friction. Tap the weight field and it clears instantly. Enter an RPE and it commits seamlessly. Tiny things, but they matter when you repeat them thousands of times.

Apple Watch integration that was an absolute nightmare to build. It now works whether the workout is started on the watch or the phone, streams live heart rate, and generates intensity graphs after every session.

160 exercises that I personally selected, each with images, instructions, common mistakes, and translations in 23 languages. The amount of time spent correcting exercise descriptions and images was honestly ridiculous.

Outdoor GPS tracking that required way more work than expected. I ended up building a heavily customized sliding-window smoothing algorithm just to get routes that looked reasonable.

The app runs on both Android and iPhone, with native Kotlin and Swift modules. I’ve crashed production more times than I’d like to admit while learning where the edge cases live.

The funny thing is that AI helped me build the first version in a few weeks.

But the parts I’m actually proud of weren’t generated in two weeks.

They were earned over six months of breaking my own neck over details that most users will never consciously notice.

And honestly, that’s probably what building a good product looks like.