Jolla phone 2026 experience after few months

Mehrad Mahmoudian published on October 28, 2026

9 min, 1942 words

Abstract

I previously wrote an extensive blog post about my initial experience with Jolla phone 2026. The experience from pre-ordering the phone until receiving it, and finally, using it for few days. In this blog post I'm writing a follow up after few months of using it as a secondary phone.

Categories: Jolla Phone Sailfish

Tags: post

My Jolla phone and SailfishOS experience

Mehrad Mahmoudian published on August 15, 2026

31 min, 7276 words

Abstract

I ordered Jolla Phone in early 2026. In this blog post, I'm going to write my experience in this journey, from ordering to first impression of the hardware. This is my experience, and as usual, your mileage may vary.

Categories: Jolla Phone Sailfish

Tags: post Journey story

Spice-up Guix setup

Mehrad Mahmoudian published on July 20, 2026

2 min, 303 words

Abstract

Here are my suggestions on how to improve the experience with Guix. This post will get updated every now and then when I have something to add.

Categories: Lovely Linux Guix

Tags: post CLI

Check if PDF is PDF/A

Mehrad Mahmoudian published on May 22, 2026

4 min, 741 words

Abstract

There is often the need to submit a PDF/A to an online form. Most office suites have a way to export to a PDF that cplies with the PDF/A standards (yes, plural!), but it is often hidden somewhere or the user may forget how the have created that. Also none of these office suites let the user to choose which standard they want to have. In this blog post I'm writing the ultimate solution I found after a lot of trial and error with various software, to validate if a given PDF file is complient or not, and if it is, which version of PDF/A.

Categories: Lovely Linux PDF

Tags: post

Reproducible R Environment Using Guix

Mehrad Mahmoudian published on November 06, 2025

6 min, 1338 words

Abstract

It is essential for a good analytical project to be 100% reproducible. Reproducibility issues in projects typically stem from three parts: 1) the data, 2) the software, and 3) random number generation. The reproducibility from software stack perspective can either come from the code that the analyst writes, or the packages, libraries, and software they use in their analysis. In this article I try to propose a simple solution for the latter without needing to change your Linux distro.

Categories: Lovely Linux Guix R

Tags: reproducibility R Guix development