linkedin-visualizer VS ghostpii_client

Try it out here: https://linkedin.streamlitapp.com/ Code: https://github.com/benthecoder/linkedin-visualizer Article: https://medium.com/bitgrit-data-science-publication/the-missing-feature-on-linkedin-160682a8ccc1

Streamlit app 🔗 https://share.streamlit.io/benthecoder/linkedin-visualizer/main/app.py Github 🔗https://github.com/benthecoder/linkedin-visualizer

I am an entrepreneur trying to get a movement going to really start using this tech at big corporations to keep them out of trouble. I am guessing the conversation in here is a little more abstract than my usual day-to-day (although I am a reformed mathematician) but I wanted to introduce myself nonetheless.

If anybody is interested we maintain a software library, implemented in Python, that is designed to let relatively everyday people (software engineers, data scientists, etc.) use these privacy-enhancing techniques in a familiar interface without a rocket science course. If you go to the GitHub page I link below there is a Binder server where you can play with it right now via a Jupyter notebook over the web with basically no work or commitment.

https://github.com/capnion/ghostpii_client

I also put a ton of content out on LinkedIn, mostly oriented towards why businesses should adopt these things, what to do with them, and how they relate to other trends.

https://www.linkedin.com/in/alexander-c-mueller-phd-0272a6108/

I would greatly appreciate engagement of any kind: test-drivers, early-adopters, complainers, design feedback, likes, reshares, stars, emails. I am a true believer trying to this tech out where it can do some good and I need to spread the word.