I'm an office experience consultant at a fast growing, venture-funded startup that you've more than likely heard of. Right now I am managing the Caffeine Portfolio and am using arduinos at each coffee pot (http://www.deferredprocrastination.co.uk/blog/2013/coffeebot...) in order to monitor the quantity. I wired these up to a node.js backend which will take the quantities of each pot and check them against a threshold. I track and visualize these changes using CoffeeScript, d3.js and HTML5 canvas. If the coffee pot quantity is below a certain threshold, I have the node.js call out to our Rails-backed RESTful API which sends messages through our RabbitMQ setup to asynchronously dispatch a TaskRabbit so someone can come and fill it up.

Edit: I also a bit of Perl to glue it all together and store the stats in an MS Access cloudstore.

That's cool! By "TaskRabbit" do you mean an internal tool - or do you mean the marketplace, and it just happens to be someone on your team?

TaskRabbit is a startup in which you can dispatch human agents to accomplish tasks. See https://www.taskrabbit.com/

> All answers will be analyzed and published

If you're planning to make a blog post of "which are the best technologies?", note that the answers here will be heavily biased and should not be used as an accurate indicator of popularity.

Actually, you can never use "popular" to find the "best" of something because they aren't related.

However, a "What technologies people on Hacker News use" can be a possible outcome.

This still hits selection bias unless you get a sufficiently large sample.

http://en.wikipedia.org/wiki/Selection_bias

Haskell and Postgres for my main project right now. Haskell and sqlite for a small auxilliary project.

Off topic:

Hello, just wondered if you've seen this that I released earlier this week:

https://github.com/tomjaguarpaw/haskell-opaleye

Feel free to send me an email (address linked in the README) if you have any questions about the project.

I did, and it looks really cool! Probably not going to migrate either of these projects, in the short term, though. The first, because it would be a large undertaking; the other, because it does almost nothing with the database - all of one table, only a couple trivial selects, so my focus there is elsewhere for now. At some point I definitely plan to dig deeper into OpalEye, and might wind up porting one or both medium-to-long term. Though actually, if you want to scope things out and see how hard you think migration might be, that first project is Snowdrift.coop

Day job? Sun 4 and Scientific Linux 4.5 (it's REAL painful).

Side project? LAMP + cPanel

Hobby projects? MEAN + Playing with docker & AWS. I'm pretty excited about Docker HUB as if I can get a firm grasp on it I might be able to convince my day job to abandon our current setup and go with a much faster AWS/EC2 setup.

Work: Java (with Struts, Spring), HTML, CSS, Javascript, XML, HTML, CSS, Eclipse, Oracle DB, PLSQL, Toad, Windows, IE, Firefox, Chrome

Not work: Python (with Django), Javascript (with Angular), HTML, CSS, Bootstrap, VIM, SQLite (probably Postgres soon), Ubuntu, Firefox, Chrome

We are mainly web developers creating Marvelogs (http://marvelogs.com) and we use

LAPP (PHP, Postgres) with Laravel, Backbone - also with Redis for caching.

Ubuntu, Apache HTTP Server and Nginx, Digital Ocean, Java, Freemarker, Firefox, WebKit, a slew of Apache Software Foundation projects, and numerous other open source projects.

Hostmonster, AWS (Java), Gurobi Optimizer, FrontApp, Sublime Text, Github, Grunt, Google Docs, Hangouts & Skype

Front End: Angular JS, Cordova, Ionic

Back End: Ruby, learning Clojure

Databases: Postgres, Redis, Memcached, ElasticSearch

Mobile dev: Java, Parse

Web dev: HTML5, CSS3, Javascript (JQuery and Angular), RoR

Miscellaneous: R, RinRuby,

End to end Javascript (front-end SPAs and backend APIs).

Java, AngularJS, NodeJS, Postgresql all running in Docker.

C#, ASP, Java, Javascript, IIS, HTML, JQuery, SQLServer

Frontend: Angular, JQuery, Bootstrap

Backend: PHP (Laravel)

DB: MySQL

Queing: AWS SQS

Configuration Management: Ansible

Logging: Splunk

Node.js, Go, Mongo, Influxdb, Kafka

Go, Python, running on Managed VM

OS: Fedora 20; DB: MariaDB; Python, PHP, Codeception/Selenium; Trac; Sublime Text; Hangouts & Skype :)

also: Windows 7, Chrome, Audacity

C, Node.js, angular, bash.

hhvm, node.js, angular, redis, elasticsearch, zeromq

OS: Fedora, CentOS

DB: Postgres, mainly

Server-side coding platform: Groovy & Grails

Messaging: HornetQ

Front-end: JQuery, Bootstrap

Semantic processing: Apache Jena, Apache Stanbol

C.

c#, Xamarin