eap_proxy VS zingg

The inspiration is the EAP Proxy that I used to bypass the AT&T router and connect my router to the AT&T fiber, before I learned about the vulnerability that allowed me to copy the 802.1x certificate from the AT&T router to my router. https://github.com/jaysoffian/eap_proxy

I use an EAP proxy to put my router in front of theirs and got a %20 speed improvement.

With my wife, I built two kids both in college now. That's definitely the most impactful.

In the online world, I've contributed bits and pieces to open-source here and there as far back as the late 90s. I think my first contribution was to the shadow package, but I've contributed here and there to Apache, Radius, random packages that I use that I discover bugs in, etc.

A python script I wrote to allow folks to bypass AT&T's residential gateway was used by more people than I ever expected:

https://github.com/jaysoffian/eap_proxy

There are forum threads about people rooting these routers to try and extract the certificate/private keys from their provided router, which worked for a limited time with certain router models. For now, the most popular way to do it is with a tool like this: https://github.com/jaysoffian/eap_proxy

If you use a Ubiquiti router, then another method to bypass your ATT router is called EAP Proxy.

WEEELLLLLL, there is a way to get into a true bridge mode on some ATT fiber plans/service by using something like EAP-Proxy: https://github.com/jaysoffian/eap_proxy

If you're up for a more complex setup, it is possible to put your home network on AT&T Fiber without going through their boarder gateway. I've had luck using https://github.com/jaysoffian/eap_proxy to bypass the boarder gateway for traffic flows.

As part of my data consulting, I struggled with identity resolution and started working on scalable no code identity resolution - https://github.com/zinggAI/zingg/ . It has pushed my limits as a software engineer and product builder, and I had to do a lot of learning to build it. Its cool to see people use Zingg in their workflows and save months of working on custom solutions. Big highlight has been North Carolina Open Campaign Data https://crossroads-cx.medium.com/building-open-access-to-nc-...

Check https://github.com/zinggAI/zingg/. We recently added Python to our stack and are looking for help with building dbt-zingg python models, databricks-zingg python notebooks, python api, building a python based front end etc.

If you are open to using a framework for this, check Zingg at https://github.com/zinggAI/zingg. It connects to Redshift, snowflake and other warehouses and can handle multiple columns

Thanks for your support. Yes we do ship with some examples and their models which can be run out of the box. We have 3 customer demographic datasets and an ecommerce items matching across Google and Amazon. You can check them here https://github.com/zinggAI/zingg/tree/main/examples

I have an open source project hosted at https://github.com/zinggAI/zingg/.

Check Zingg out at https://github.com/zinggAI/zingg and let me know if you would like to contribute

This is interesting, would love to get your feedback on Zingg(https://github.com/zinggAI/zingg) if you are upto it. Thanks!

I have released an open source entity resolution tool Zingg(https://github.com/zinggAI/zingg). Zingg uses Spark and ML to build single source of truth directly in the warehouse or the datalake. Would love to hear from the Reddit folks here what they think about it - do you find it useful? what can I do to make it better? any advice on the problem or the solution?