We don't believe in third party tracking and only focus on first party anti-fraud use cases. We publicly reveal any methods that we detect as being pure third party tracking privacy violations so that they get patched.
It is certainly a discussion we are having internally often. Overall we focus on identifiers that are not uniquely identifiable to a person on their own without taking them in aggregate, which makes them harder to share across unrelated domains. We also generally avoid anything personally identifiable (name, email, etc) that could be tied back to anyone in particular - we aim only to accurately identify a browser or app instance itself.
You are likely relatively unique because you only have Skype installed, whereas a lot of visitors will have more applications out of the list. Someone who has no applications on the list installed may be even more unique, for example.
Just riffing off some ideas for the 'coworkers and collaborators' section as well since I agree that I wouldn't find it useful as a sometimes-recruiter in its current state.
I think the section could do with some more structure or information given. E.g. instead of just loose association with other folks who work at the same company, break associations into 'reports to', 'close teammates', 'manages' (or make that information visible on hover or something). There's probably a pretty cool hierarchical way to show this information but maybe people would find that too invasive. As someone who conducts interviews pretty often, understanding a person's team structure would definitely be useful, and would still serve the 'social proof' function you've described.
The collaborator's title while they were involved with that specific project might also make it easier to parse what the working relationship was between the CV owner and the collaborator as well.
We are a VC-funded open-source first startup working on browser fingerprinting for preventing online fraud. Flexible hours, transparent culture, challenging work. It's good people!
We don't believe in third party tracking and only focus on first party anti-fraud use cases. We publicly reveal any methods that we detect as being pure third party tracking privacy violations so that they get patched.