• 2 Posts
  • 13 Comments
Joined 2 years ago
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Cake day: June 9th, 2023

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  • they simply hit the scale where they need to get smarter about optimization,

    Read again, because it seems you are refusing to understand.

    Optimizing the hardware/server part is completely irrelevant. The operational costs are less than 3 cents per user, it’s the labor of the people working there that is going unaccounted.

    your small-scale service

    You are going at this backwards. My service is “small scale” because most people are still expecting to have social media offered to them for free, or at best they think that the labor should be free and that the only thing “worth to be paid for” is the server. And because there are still so many people who are willing to run instances for fun/as a hobby, they are effectively pricing their own work at zero dollars, and then of course others will flock to those instances.

    So, yes, of course we can not compare my service with the larger instances, because these instances are effectively operating at a loss and they just don’t care about it.





  • In any case, what number do you think is reasonable? A quick search shows that Facebook employs about 65000 people to serve 3 billion users, 46k users per employee. Even if we were to ask the hachyderm team to be as productive as one of the largest corporations in the world, we would still need at least 2 FTEs.

    But given that we are asking them to be as productive as a FB employee, it should be fair to pay them as much as Facebook does, so the real cost per employee goes easily to something like $250k/year (Base salary + bonus + overhead).

    So, okay, let’s cut the number of people by 4 and multiply their cost by ~2. We are now talking about ~$50k/monthly cost. That’s still $0.91/user/month, $5.15/active user/month.

    The point is, even if “the math” is skewed to make things look “expensive”, even a more conservative estimate has (a) costs per user in the same order of magnitude and (b) cost of labor absolutely dominating over cost of hardware/hosting.