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yid

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yid
·11 năm trước·discuss
> Are you suggesting that WhatsApps business model was based on annual revenue?

Since WhatsApp was a revenue-generation corporation with a board of directors, like any other corporation, before their acquisition, and since I don't like to indulge in conspiracy theories, I'm going to assume that yes -- their business model was based on annual revenue.
yid
·11 năm trước·discuss
> They're nowhere near relevant.

This doesn't mean that there aren't teams of people trying to constantly make those ads more relevant. And since not everyone at a Twitter can statistically be incompetent, I'm going to assume that the problem is actually quite difficult, and perhaps requires a large team.
yid
·11 năm trước·discuss
In 2014, WhatsApp reportedly made $14 million in revenue. By comparison, Twitter made $479 in revenue in just Q4 2014. I think company size generally scales super-linearly with revenue, so a total staff in the thousands seems reasonable for a post-IPO company.

Are you suggesting that WhatsApp's model of organization is the norm for a sustainable organization? I think it's a clear outlier in many respects.
yid
·11 năm trước·discuss
> 4100 employees for a service dedicated to moving around 140 character messages? Yeah, there might be a little fat to trim there.

Absolutely! You could probably get a single rack to handle storage and broadcast of millions of tweets per minute, perhaps hook it up to a Teradata appliance to handle search and storage at that throughput. Throw it in a nice distributed database indexed by user. Then just another couple of indices for the hashtags and mentions, and the follows/follower graph. Throw in another few tables for handling API permissions, managing schema migrations while ensuring that data from day 1 is still as transparent as yesterday's logs, a highly replicated ad server hooked up to a realtime recommendation engine that analyzes an active user's current stream and recommends the most relevant ad (to maximize revenue of course), set up a few staffed policy teams to comply with the differences in global regulations, handle lawsuits and legal requests, and of course keep competing for more revenue with the likes of Facebook and Google.

It's pretty trivial.