"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
Hey, i’m Maximilian, the solo funder of boost. Boost is your personal digital fitness coach providing you with personalized workout programs while giving you the interactive experience you would expect from a real coach.
- 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
That's nice! Maybe i'll hack together a simple(r) price calculator to just spit out the adjusted prices for all App-Store regions based on the US price (for my use case). But for self hosted websites this is sweet!
Thanks
Great to hear someone with real world experience on this!
Do you happen to have data to compare against? Most interesting of course would be orders from your PPP adjusted countries before and after the introduction of your honor system. This would help to see if there really is a reduction in revenue for theses countries since the alternative is no revenue due to overpriced products.
> "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)
Good points! But all in all if a value based pricing approach is taken accepting the default conversions will result in overpriced products, that only fit to the value provided in the baseline country (US).
> 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!
"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