negrit

Buildzoom[YC W13] | Rails Developer | San Francisco, CA | Full Time | Visa OK | Onsite

BuildZoom simplifies remodeling and construction.

We're looking for someone that will jump at the opportunity to take ownership of product features that drive traction, which will be used by tens of thousands of users each day.

Here are some examples of problems you’ll help us solve: Build a clean and simple user interface that sifts through millions of transactional records, allows consumers to see the current remodeling activity in their neighborhood and engage with the contractors performing the work.

Implement payment processing by integrating with third party providers and implementing a scheduling and tracking system to maintain transaction records.

Enhance the accuracy of our machine learning classifier, which infers what types of work contractors specialize in based off their transactional histories.

Apply our pricing analysis to help consumers understand the cost and value associated with their home improvement investments.

Our ideal candidate will have:

* Extensive experience with medium-to-large scale RoR deployments

* Strong fundamentals: OOP and application architecture

* Experience with scaling for exponential user growth

* Appreciation for quality, maintainability, and performance

* Attention to detail and personal pride in your work

Apply here: http://www.jobsintech.io/jobs/full-stack-rails-developer-bui...

Google/Facebook knows my friends, my searches, the websites I visit, what pages/product I look at, ...

They sell this data(even if it's anonymized).

The issue with this kind of fine is that the profit is greater than the fine so they will continue to do shady things like this.

Also people in charge for approving this should be held accountable.

That's not true. TV, radio, printed newspapers, ... has done it for decades. It's content based. They are tracking because they can make more money out of the tracked data.

All my datasource where csv and mdb files. So, I directly imported them to PostgreSQL. Very little code was written to clean the data. 99% of the cleaning was done with SQL queries.

The code is mostly used to display the data. Cleaning the data with SQL queries is much faster than writing code.

PostgreSQL :)

My bad.

Fixing it ASAP

Spies?

This is awesome! I'm def considering it.

Yep, my bad, I forgot to update the FAQ. I do have 5.2 millions searchable LCAs as well as 1.1 millions perms

On which page?

Thanks, I'm planning on adding few charts

definitively

I haven't planned it but why not. I don't really know how to do it though.

Ah, I should have made it more clear. It's the decision date, note the application date. So probably those applicants applied when the USSR was still a thing.

Hello everyone. I quickly built this little tool based on public records provided by the government. I did the same a couple weeks ago with H-1Bs and I just added over 1.1million green cards records.

The data provided is not perfect so i'm still working on cleaning it but it should give you an idea of what is going on.

If you have any questions, feel free to ask.

Yeah, they are not the same class.

Thanks! Will fix asap.

Also LCAs are filled when a foreigner under H-1B visa moves from a company to another for example.

I have a lot more data(millions more) and a really clean&easy UI :)

Yes, work in progress!

I actually think it means they decide to no make go further with the LCA. Like they decided to finally not hire the employee or the employee decided to not work for this company anymore.

Definitively. I'm going to provide an API pretty soon. Too bad it wont be ready for this week end.

People who know me, worked with me, ... can find me easily in this database and checkout how much I was paid.

I'm currently coding both feature. :)

Yes, This is definitively something I'm going to provide.

I was thinking from the top salaries to the bottom.

It's in the pipeline :)

For a company and a given year, you can search by title.

Front End: twitter bootstrap. Back End: RoR+postgreSQL I roughly spent a week on it. At first I was cleaning and moving some data around with RoR but it didn't seemed right to me. Then I started poking around with postgreSQL and once you get a hold of it, it's super powerful and does most of the job. Use indexes... on fairly large datasets it really makes a difference.