I’m currently comparing Brave and Vanadium for logging into my accounts on services where privacy is less of a concern (e.g. Instagram) because I know that logging in removes the user from the “unknown” state, and in that state, would stronger anti-fingerprint recognition be useful?
Fingerprinting is a tool to narrow down and identify users based on some of their identifying data bits taken from rendering a website against their browser.
This is akin to taking real fingerprints from a crime scene: you do not know who did it, but you saw their prints on the mug, the dog leash, door knob etc. You then run the collected fingerprints in a database to try to find a match.
Compare this if your Company/School ID was found in the crime scene itself (this is the analogy for logging in).
Strong anti-fingerprinting capability of a browser is useless for logged in accounts. You get the hassle with absolutely no benefits. This especially true for places with your real name and personal data, such as in your case, Instagram.
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It would be useful for preventing you being identified as the same user between websites, but as soon as you log in you’re linking your current session on that website to all previous ones. I’m working on an article now about the Privacy Pass protocol and how it can be used to authenticate with services anonymously, currently Kagi has implemented privacy pass so you can try that out if you want (they give you I believe 100 free searches). Unfortunately the benefits of an account like personalization etc aren’t really compatible with Privacy Pass.
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Thank you for your answers. 