@MissGayle I call my gum placement my circus and where the gum sits are my tent poles and eventually once the circus is ready it’ll be more like turning on the lights for a vaudeville show than

*points at silicon valley*

@MissGayle @briankrebs

I believe I’ve put more gum in more places than most and am continuing to do so

The sad reality is that most people don’t care because these types of systemic problems are invisible to them and they feel helpless against them and thinking about them takes their time away from their entertainment of choice

So I’m just putting gum where I can and hoping others are doing the same

@briankrebs all this to say— I do feel partially to blame for the mass proliferation of photo ID products since we proved it possible to automate

The company went in a different direction, I was fired along with the rest of my team

Sequoia was the primary investor of the company, so I assume the IP proliferated across their portfolio

In very short order stripe launched photo id verification that was roughly shot for shot what I built as the front end lead

Not a bad crash course in Silicon Valley economics and the hidden network effects

Venture firms definitely encourage successful startups to run startups in their startups that benefit their other startups and they’ll win no matter what

@briankrebs “first automated PHOTO verification”

Jumio was our primary competitor

They had people physically comparing pictures with a 60-90 second SLA

We had APIs and even figured out how to optimize image size so uploads could be as small as possible on mobile while still able to catch security details

Because of the sequencing of events, we basically had the results immediately at the end of the flow

@briankrebs

In 2018 I was at a company where we had the first automated identity verification system in market

I was one four engineers on the team at the end when we finally found PMF— verifying doctors in conjunction with Duo security to allow online prescriptions

It was Ruby on Rails

We had two products

Knowledge
Photo

Knowledge was really just a pretty oauth flow wrapping a transition api

Photo was Microsoft for facial recognition between the front of an ID and a selfie

Front and back was through a provider (confirm) that had exclusive partnership with morpho trust that does all the identity verification at customs that can effectively detect the security features on IDs

NIST LOA3 SOC2 HIPPA

With three external surfaces

All this to say: WTF is LinkedIn doing and if earth needs me to rebuild a product from a decade ago, we just need a few engineers— less engineers than persona has vendors