jayjohnson

I know there's a bunch of SaaS options out there already, but I was wondering if anyone knew about a self-hosted, on-premise option that did not send any infra or account details/access out of my network?

Thanks for your time and help!

Hello all,

I was tired of chasing down datasets to test investing ideas, so I built https://github.com/AlgoTraders/stock-analysis-engine and was wondering how + if a kickstarter or patreon (or something else) is worth the time to try to get traction? I'm currently running this all from my house, and I would like these funds to pay for hosting fees on AWS S3 so anyone can get started quickly with ready-to-go AI datasets and pricing data without paying for something like quandl (https://www.quandl.com/).

I am very new to growth engineering and crowdfunding, so am I interested to hear what HN thinks about these options to raise money without a VC or angel.

Thanks for your time! Jay

I'm trying to teach AI how to defend against network exploits over ssh and telnet and make it all free open source. I wanted to know if anyone on here has any insights that I might be missing with the initial proposal to: use a test bed for recording a distributed malware simulation to generate some initial training datasets.

For background, I am hoping to reuse all of the v1 webapp process which yielded datasets where neural networks can hit >99.7% accuracy at predicting attacks (https://github.com/jay-johnson/antinex-core/blob/master/docker/notebooks/AntiNex-Using-Pre-Trained-Deep-Neural-Networks-For-Defense.ipynb). I really just want to hear if I am missing something obvious before I start testing and building the dataset and hacker news is where I have learned so much about so many different things I had never heard about.

Here's my proposal for the simulation and test bed: https://github.com/jay-johnson/antinex-datasets/tree/v2/v2/malware

Docs if you're curious: http://antinex.readthedocs.io/en/latest/