"It significantly outperforms existing models smaller or similar in size." is a statement that goes in that direction and would allow the comparison of a 1.7T param model with a 7b one
17 karma · joined January 20, 2021
"It significantly outperforms existing models smaller or similar in size." is a statement that goes in that direction and would allow the comparison of a 1.7T param model with a 7b one
- Interactive Training: With on device 2D Pose-Estimation each of your movements is analyzed in real time. This lets boost count your reps and give you feedback on your exercise execution - Personalized Training: The tracking gives boost the ability to adapt the Training to your goals, needs and personal fitness level. Every Workout is scaled in length and intensity according to your measured fitness level.
I’m currently looking for curious minds to test the app (iOS & Android) which is currently live on Product-Hunt! It's completely free.
The process to get the app live has taken some time and I've only dipped my feet in all the marketing necessary to get it out there. I'm more than happy to answer any questions you might have from my perspective as a solo-founder. Cheers Maximilian
> "Mexico's code is the most used, followed by India, then Europe. Mexico and India offer the steepest discount, though Europe's is not particularly steep, so I don't think anyone is gaming the system."
That is good to hear. Even more so since in your case gaming the system would be even easier than switching app stores etc. (AND your audience is tech savvy)
> Also, the alternative choices (in economic terms, “substitute products”) are often different across markets - not just different available apps, but completely different ways to accomplish the same task or spend time. There’s no reason to think that buyers in two markets receive the same amount of value from your product.
I agree! But is this not the case for an even more fine grained per country pricing than the PPP adjusted one including market/competitor research etc.?
> Pricing based on perceived fairness to buyers has some practical challenges for sellers, like that the seller’s expenses - particularly team compensation - are not adjusted based on buyers’ locations.
If we stick to the example of a digital product in the app-stores the overhead could be considered negligible if no country specific marketing, i18n, etc. is done, right?
All in all i agree, that it poses additional challenges but i still struggle to see, the advantages of the default pricing imposed by the app-stores. Even when optimizing for fairness becomes optimizing for revenue my gut would tell me that the best performing price/value-added from the US would perform better PPP-adjusted than the overpriced alternative. But that is where real world experience from someone around here would be perfect!