I guess it’s not unexpected per se, but the peak hours are solidly Chinese daytime work hours with an extended lunch break, and hitting a bit of Europe’s morning. But no American peak hours, unless you count after-work hobby coding (6-9 pm Pacific?) which tells you indirectly a bit that American adoption is not a major driver of revenue for them. Or that the after-work ‘hobbyist’ is the main audience, which is also plausible.
Yeah, they onboarded A LOT of folks with that original pricing and quality. It was "good enough" for most use-cases, like many, I work in existing code-bases and do a lot of "multi-file" edits, that aren't hard to do technically, just take a lot of time and must be done precisely enough. For that, it was perfect.
I wonder how many people will stay, there's still a huge void in alternatives on that original pricing.
I guess it’s not unexpected per se, but the peak hours are solidly Chinese daytime work hours with an extended lunch break, and hitting a bit of Europe’s morning. But no American peak hours, unless you count after-work hobby coding (6-9 pm Pacific?) which tells you indirectly a bit that American adoption is not a major driver of revenue for them. Or that the after-work ‘hobbyist’ is the main audience, which is also plausible.
DeekSeek did a strategic b2c mistake. It is always easier to start with higher prices and give discounts than go opposite way (=raise).
But people get used to higher prices. Or they churn out.
For hobby projects there can be local or free models. There are also some caching techniques.
Yeah, they onboarded A LOT of folks with that original pricing and quality. It was "good enough" for most use-cases, like many, I work in existing code-bases and do a lot of "multi-file" edits, that aren't hard to do technically, just take a lot of time and must be done precisely enough. For that, it was perfect.
I wonder how many people will stay, there's still a huge void in alternatives on that original pricing.
Well I could have done without the improvement if it meant keeping the prices low, might have to find a better model for cheap inference
Thank you for old vs new comparison