3 ms·

Yeah, this seemed more like a bunch of guys at Akamai padding out their resumes. Their use cases seemed pretty weak, and with all the other information browsers

• buro9 9y ago
  This approach is common and obvious, and importantly it isn't about privacy vs advertising. What it is about are things like click-fraud, content-scraping, and general classification of bots and other actors to allow customers to more confidently express their wishes. Header ordering, H/2 options, and even capabilities via headers and the values they hold... these are just signals. When combined with other signals they allow for better classification and better control. Is this really a Googlebot? Well ASNs aside, only if it has these traits. But Googlebot is the easiest, what about the SEO and SEM bots? What about the numerous bots that claim to be Baidu but really are not? What of the spam bots that claim to be Firefox and are little more than C# clients? Classification of traffic based on all available signals is what this is about. The more signals, and the more that cannot be controlled by a user of a client, the more confidence in the classification. About the only advertising use here is that it would be easier to spot click fraud when one knows the client is spoofed.