Talks Discussions Hacking
120 people / 60 for Hackday
We would like to learn about how you use Nix and NixOS in your organization and what you are currently working on.
The growth of NixOS as a project brings its own challenges and we would like to know how you think the user experience can be improved and how NixOS can be scaled.
Call for Proposals
CfP is now closed! We will update the website soon with the program.
Program - 25-26 October (Thurs/Fri)
We are collecting talk propositions until the end of July 2018.
Details about the program will follow.
Hackday - 27 October (Saturday)
The Hackday is a self-organizing event after the conference. It's an opportunity to network, hack on projects and ideas that arose during the conference, and discuss plans for the rest of the year.
The location is the same as the conference but with a different table layout, limiting the number of attendees to 60 people.
Please contact the orga team if you are not able to attend because of fund restrictions. We would like everyone to be able to attend and have some funds available to sponsor tickets and travel.
Conference - Max 120 people
Hackday - Max 60 people
Diversity tickets are also available.
NumTide is a Nix and DevOps consulting company. We provide build, test and deployment expertise from the developer's machine to the cloud.
Serokell is a software development, consulting, and recruiting company. Prevalent in our practice is usage of functional programming and scientific methods.
Mayflower provides battle-tested software engineering teams as well as consulting concering infrastructure and agile methodologies. We love and embrace Open Source by contributing to the projects we use on a daily basis.
At relationalAI, we develop novel Artificial Intelligence technologies to solve complex business problems. Many of these problems do not lend themselves to consumer-oriented AI methods. Our technology exploits the rich interdependencies and structure inherent in every business to deliver results that are orders of magnitude better than traditional AI and machine learning.