u/CtotheRN

Hi all,
I’m looking for some advice. I’m not much of a fashion person, but I want to look clean and well put together. As a father of two, things can get dirty quickly, and while a slightly rugged look is fine, broken and worn‑out isn’t.

From fall to spring, I wear brown boots from Thursday Boot, and in summer I’ve been wearing Clarks. Those shoes just broke, so I’m in the market for new ones and need some advice.

Most of the time I wear blue jeans and a T‑shirt or a shirt. In the office, I always wear blue shirts tucked in. I don’t like wearing sneakers, so I’ve already ordered two pairs of shoes: one brown and one black.

So my first question would be: which pair do you prefer? Brown or Black? Which looks better in the pictures? Furthermore, I would like to know if you know any other shoes that would look good with my style. I don’t want to overdo it. The shoes should always look good in the office as well as at home or on a city walk.

Best regards

TL;DR
Solid app that makes Suunto data more useful through AI driven insights, with helpful extras like food and habit tracking.

Hi all,

Since the big AI hype started, I’ve been curious about whether AI can actually provide real benefits when combined with a Suunto watch. Because I don’t have much background in AI, I was happy when the developers of an app called Vitalstat asked for beta testers in this subreddit.

Here’s my experience after using it for about two weeks.

Vitalstat is a clean looking and feature rich app that tries to bridge the gap between Suunto data and AI based analysis. All data from the Suunto app is available in Vitalstat, including activities, sleep, recovery, and more. On its own that wouldn’t be very special, but the interesting part is how the data is analyzed.

The app looks at your data in context and gives feedback and recommendations. For example, if you do a long run, sleep only a few hours, and still try to squeeze in a strength workout, Vitalstat can suggest adjustments for the next night, the next workout, and ways to improve recovery. This is where the app really stands out for me.

Another feature I’ve found surprisingly useful is food tracking. You can log food directly in the app or import nutrition data from FDDB via Apple Health. This adds a whole new layer of insight. For example, after a long run with an unusually high heart rate, the app can analyze what might have caused it. If sleep and recovery look fine, it might point out that the day before I ate too much fat or not enough carbohydrates. I like this because I don’t have to manually connect all the dots myself.

There are also some additional features I haven’t used extensively yet but are worth mentioning. You can track habits like reading, chat with the AI, and get daily summaries. Overall, the app provides real value for me, and I plan to keep using it to see how it affects my training over time.

One thing I really appreciated during the beta phase was how quickly feedback was implemented. A short message or email was often enough to see ideas added or improved. I also spoke with the developer about upcoming plans, and it sounds like a larger update with even more AI focused features is already in the works.

Need shoe advice: office-friendly but still practical for dad life