we are using neo4j for our tinder for shopping app - phresh - here in la.

the hypothesis is that we can do better product recommendations than standard machine learning thats commonly used. further, the native graph db allows you to connect seemingly disparate data sets - eg social network, language, interest & taste graphs - that create connections only humans would be able to normally generate.

always looking for people interested in native graphs dbs.

check out our job postings: https://angel.co/phresh/jobs

diction says a lot about frame of mind. the negativity wont let you think differently here, but its definitely possible.

one foot in front of the other. get rid of the fear, its pointless after the first time - you have a network and a net under you.

a generalized learning system.

there are best practices that are superior to a traditional education. they are free and totally accessible with an internet connection.

its cool if you believe in everyone being able to self-educate using the internet.

will start applying it in a group context, namely business organizations shortly.

looking for companies of 11+ people to participate.

hyperloop.

http://github.com/leonidkozhukh/hyperloop

weve been working on the starving artist problem (aka building distribution for your work). get in touch.

we use it at ligertail.com and dont see a reason to switch to aws so far :)

patience.

the process of finding things you like takes time. be aware of your state through the process and learn from it.

solve the problem correctly once, and you wont ever have the problem again.

get in touch with some details about your team. might have a project for you...

just read the apology

NYC

LigerTail is looking for Python hackers. Email in the profile.

No, it isn't :)

(The email field is not publicly visible - put it in 'about')