tmulc

I totally see your point (many competitive runner never posts to Strava, anyway). I'm working on a Garmin integration now, so that should be available soon. It looks like runkeeper only has manual activity exports, so I'd have to provide a way to allow for manual activity uploads, too, which is doable!

My Garmin times are also a joke, which is why I created getfast! (To be clear though, Garmin makes incredible watches, and their predictions have gotten a lot better in the past year . . .)

Yes, a flat course on a cool day! There's a link to some details on the models here: https://getfast.ai/models

Good idea! Was thinking of adding two versions with different shareable screen shots: 1. Share what was 2. Share what could've been.

Welp, I just ordered $1500 worth of the Cisco ones, so I hope they are the right type.

Thanks! In my experience in these things, there are only handful of people with the right ML background implement the products well (it tends to be a blend of domain knowledge, researching ideas in the correct way, and engineering to make the iteration loop fast), and I think our team has that. Hitting the right audience like you mentioned is going to key, too.

The interactive component was just there so you didn't have to compute the buffer yourself, but I see your point--thanks!

I can't say to much because we are trying to keep our methods stealth, but I think it's better to be last than first in this race. Strava isn't the only company in this field: Garmin, Kaizen, and AI Endurance are just a few. For a while, our race predictions were a lot more accurate than the biggest of these (Garmin, which has a lot more data than Strava), which is probably telling of the difficulty. There isn't an obvious company you go to to tell you about your fitness, but if there was we would have never started our mission.