Back to Basics with En Kanakku

Everyday I work on a megalith of a software called Open edX as a part of my work. It is built on top of Django. But here is the thing, it is very big piece of software and most of time I am tweaking something that is one among the many layers of abstraction and business logic.

This has created a deep desire to get down to the basics and build something. I tried learning Rust. A systems language. How more basic can I get than that? But what do I do with Rust? I don’t even know what kind of program I can write with that. A PDF Parser maybe? I downloaded the PDF 1.7 spec and started gathering 8 bits at a time. But Rust is not something that has the same velocity as Python or JavaScript. Understandably so. Compiled vs Interpreted.

In the meantime, something has also been really bothering me. My personal finance. Every year, I do a round up of my earnings and spends during the tax season and go over my savings. This year around, I have setup Firefly III to consume my bank statement and do it a little easier.

FireFly III is a fantastic software that made me realise a number of things I didn’t know about my finances


I needed more. I have tasted something sweet and I need more. Here are the things I wanted Firefly to have to make life easier for me

  1. Native support for importing my bank statement. The Firefly Importer does its job, but I needed run an extra service for that and had to create a template for mapping the fields.
  2. Native support for importing PDF Credit Card statements. A lot of the details are being missed because all the expenses for a month are reported as a single entry in the bank statement – CC Payment.
  3. Automatic Categorisation of transactions. Firefly let us to set up static rules that can help do this, but I found it a little complex and I was always afraid one rule might override another and my categorisation would go for a toss.


Why don’t I create a simple personal finance application in Python Django? I know the language and the framework. Creating something like this from scratch would allow me to get to the basics of Django. Get back to working with HTTP Responses, redirects, URL resolution, Middleware, Testing…etc., I use TDD and take help from ChatGPT to get the skeleton code.

I have also grown tired of the modern frontend development, the complexity is too much. This has helped me reset. Writing HTML in Django templates has been very cathartic. When I do need some interactivity, I plan on using HTMX. No Webpack, No bundling, None of the 1000 things that come with it.

I know, this doesn’t sound as sexy as “written in Rust”. But, working on this project has been very satisfying. It allows me to revisit things that I haven’t used in a long time. Build something I really want to use. And most importantly, takes me back to the basics – well at least to the basics of the abstraction layer Django provides.

The Project

The Project is named “En Kanakku” (என் கணக்கு) which is Tamil for “My Accounts”. Over the last couple of weeks, I have implemented:

  • Setup the dependencies and the basic skeleton for the app
  • Created a CSV Importer that can be subclassed to import transactions from any CSV file
  • Used it to create an importer for the Firefly III export
  • Added an admin action to merge account after the import

Now all of the transaction data I had in Firefly has been imported into En Kanakku, along with the accounts and categories. Baby steps…

Setting up my HomeServer – Part 3

I have so far written about:

and this post is about how I use Nomad to deploy software.

But before that…

I have some updates in the networking department. I had mentioned in Part 2 that, I use Nginx as a reverse proxy to route traffic from the internet into my public apps like Misskey.

By picking up the cues from Nemo’s setup, I experimented with Traefik and replace Nginx with Traefik. It was made easier by the fact that Traefik fully supports Nomad service discovery. That means, I don’t have to run something like Consul just to handle the service to Traefik Proxy mapping.

Running Traefik

I was running Nginx as a Systemd service in the OCI virtual machine and Nomad was limited to running services in my Intel NUC. While moving to Traefik, I configured the OCI VM as a Nomad client and attached it to the Nomad “Cluster”. Since Nomad is running on the Tailscale network, I didn’t have to fiddle with any of the networking/firewall stuff in the OCI VM, making the setup simple.

Traefik is run as a Docker container in the VM with the “host” network mode so that it listens to the VM ports 80/443, which are open to the outside internet. I have specifically mapped the Traefik dashboard to the “tailscale” network, allowing me to access the dashboard via SSH tunneling without have to have the 8080 port open to the rest of the world.

// Nomad configuration

    network {
      port  "http" {
        static = 80
      port "https" {
        static = 443

      port "admin" {
        static = 8080
        host_network = "tailscale"

    task "server" {
      driver = "docker"
      config {
        image = "traefik:2.9"
        ports = ["admin", "http", "https"]
        network_mode = "host"
        volumes = [

Deploying Applications

All the services are written as Nomad Job specifications, with a specific network config, and service definition. Then I deploy the software from my laptop to my homeserver by running Terraform.

Ideally, I should be creating the Oracle VM using Terraform as well. But the entire journey has been a series of trail and error experiments, that I haven’t done that. I think I will migrate to a Terrform defined/created VM once I figure out how to get Nomad installed and setup without manually SSHing into the VM.

Typical Setup Workflow

Since, most of what we are dealing with are web services, I haven’t run into a situation where I had to deal with a non-docker deployment yet. But I rest easy knowing that when the day comes, I can rely on the “exec” and “raw_exec” drivers of Nomad to run them using pretty much the same workflow.

Dealing with Secrets

One of the biggest concerns about all of this is dealing with secrets like, DB credentials, API Keys, ..etc., For example, how do I supply the DB Username and Password to the Nomad Job running my application without storing them in the Job configuration files which I have on version control?

There are many ways to do it, from defining them as Terraform variables and storing it as git-ignored file withing the repo to deploying Hashicorp Vault and using the Vault – Nomad integration (which I tried and found to be an overkill).

I have chosen the simpler solution of storing them as Nomad Variables. I create them by hand using the Nomad UI, and they are defined with specific task access.

An example set of secrets

These are then injected into the service’s container as environment variables using the template block with nomadVars.

// Nomad config for getting secrets from Nomad Variables

      template {
        data = <<EOH
{{ with nomadVar "nomad/jobs/owncloud/owncloud/owncloud" }}
{{ end }}

{{ range nomadService "db" }}
{{ end }}

{{ range nomadService "redis" }}
{{ end }}
        env = true
        destination = "local/env"

Accessing Private Services

While this entire project began with trying to self host a Misskey instance as my personal Mastodon alternate, I have started using the setup to run some private services as well – like Node RED, that runs automation like my RSS-to-ActivityPub bots.

I don’t expose these to the internet, or even the Tailscale network at the moment. They are run on my home local network on a dynamic port assigned to by Nomad. I just access it through the IP:PORT generated by Nomad.

Node-RED running at local IP and Dynamic (random) port

I will probably migrate these to the Tailscale Network, if I start traveling and would still want to have access to them. But for now, they are just restricted to my home network.


It has been a wonderful journey figuring all of this out over the last couple of weeks and running the home-server has been a great source of satisfaction . With Docker and Nomad, it has been really easy to try out new services, and set them up quickly.

I woke up on a Sunday and wanted to setup Pihole for blocking ads. I had the house running via Pi-hole in 30 mins. I have found a new kind freedom with this setup. I see this as a small digital balcony garden on the internet.


  1. Understanding Networking in Nomad by Karan Sharma
  2. Translating Docker Compose & Kubernetes to Nomad by Luiz Aoqui
  3. Nomad Past Present and Future by Luiz Aoqui

Setting up my HomeServer – Part 2

In part 1, I wrote about the hardware, operating system and the software deployment method and tools used in my home server. In this one, I am going to cover one topic that I am least experienced in – Networking

Problem: Exposing the server to the internet

At the heart of it, this the only thing in Networking I really wanted to achieve. Ideally the following is all I should have needed:

  1. Login to my router
  2. Make the IP of my Intel NUC static, so that DHCP doesn’t assign a different value every time it reboots
  3. Setup port forwarding for 80 (HTTP) and 443 (HTTPS) in the router to the NUC.
  4. Use something like DuckDNS to update my domain records to point to my public address.

I did the first 3 steps, and tried to hit my IP. Nothing. After some searching on the internet, I came to realize that my ISP doesn’t provide Public IPs for home connections anymore and my router is under some NAT (don’t know what it is).

Before I outline how everything is setup, I want to highlight 2 people and their self-hosting related blogs:

  1. Abhay Rana aka Nemo’s Setup
  2. Karan Sharma’s setup

Their blogs provided a huge amount of inspiration and a number of ideas.

Solution: Tailscale + OCI Free VM

After asking around, I settled on using Tailscale and a free VM on Oracle Cloud Infrastructure to route the traffic from the internet to the VM.

Here is how Tailscale helps:

  1. All the devices that I install Tailscale in and login becomes a part of my private network.
  2. I added my Intel NUC and the Oracle VM to the Tailscale network and added the public IP of the Oracle VM to the DNS records of my domain.
  3. Now requests to my domain go to the OCI VM, which then get forwarded to my NUC via the Tailscale network.

Some Tips

  1. Tailscale has something called MagicDNS which once turned on allows accessing the devices using their name instead of their IPs. This allows configuring things quite easy.
  2. Oracle VM’s by default have all of their Ports Blocked except for 22 (SSH). So after installing the webserver like Nginx or Apache, 2 things need to be done:
    • Add Ingress Rules allowing traffic to ports 80 and 443 for the Virtual Cloud network that the VM is configured with
    • Configure the firewall to open the ports 80 and 443 (ufw allow <port>)

I think there are many ways to forward the requests from one machine to another (OCI Instance to Homeserver in this case). I have currently settled for the most familiar one – using Nginx as Reverse Proxy.

There are 2 types of applications I plan to host:

  1. Public applications like Misskey which are going to be accessed by anyone who wants to.
  2. Private applications like Node-RED which I am going to access 99.99% from my laptop connected to my home-network.

I deploy my public applications to the Tailscale Network IP in my homer server and make them listed to a specific port. Then, in the Nginx reverse-proxy configuration on the OCI VM, I set the proxy_pass to something like http://intel-nuc:<app-port>. Since I am using Tailscale’s magic DNS, I don’t have to hard-code IP values here.

For Private applications, I simply run them on the Intel NUC’s default local network, which is my router and other things connected to it (including my laptop) and access it locally.

Up next…

Now that the connectivity is sorted out, the next part is deploying the actual application and related services. I use Nomad to do that. In the next post I will share my “architecture” and how I use Nomad and Terraform to do deployments and some tricks I learnt using them.

Setting up my HomeServer – Part 1


I had an old Intel NUC lying around that I always wanted to put it to good use. I had set it up as a home media server using Plex a couple years back, but streaming services and the newer content coupled with 100-300Mbps Fiber Internet connections have kind of made it redundant.

So, when finally a couple of weeks back when I wanted to switch from Twitter to Mastodon, I got the idea to just host an instance for myself. But Mastodon was in Ruby and I was at the time reading through the ActivityPub Protocol specifications to see if I can create an account using just a couple of scripts and a bunch of JSON files. I didn’t get far in the experiment, but someone ended up finding out Misskey. I setup a Misskey instance on Digital Ocean and set out to preparing the NUC for a home-server.


The NUC I have has a Intel i3 processor with 4 cores each running at 2.1 GHz and has 16 GB of RAM and a 128 GB SSD. That’s the equivalent of an AWS EC2 Compute optimized c7g.2xlarge instance which costs about 0.289 USD/hour which comes to $200/month (approx).

Sidenote: I know its not apple to apple comparison between a hardware device and a cloud instance, but for my intended purposes, it totally works.


I used to have this as an alternate desktop system, so it runs Ubuntu 22.04 Desktop Version with the default Gnome interface. I removed almost all the desktop software and left only the bare minimum necessary to run the OS and the desktop.

I thought about installing Ubuntu Server edition but couldn’t find a pendrive. So a stripped down desktop OS will have to do.

Software Deployment

Now this I am very particular about.

  1. I want to use Infrastructure as Code tools like Terraform as much as possible. This allows storing all the necessary configuration in a repo, so if and when my HDD fails, I can redeploy them again without having to do each and every one of them by hand again.
  2. I want to have some form of Web UI that can show the running services and resource consumption, if possible

First up is YUNOHost – It is an OS dedicated to self-hosting and supports a huge number of software and has a nice UI to manage them. But, the ones I want to host (Misskey) aren’t there and I don’t think storing config as code is an option here.

Next I looked at docker-compose – I am very familiar with it. The config can be stored as files and reused for redeployment. A lot of software are distributed with docker-compose files themselves. But, there is no web UI by default, and I also don’t want to run multiple copies of the same software.[1]

I have some experience with Kubernetes – There are lightweight alternatives like K3S, that might be suitable for a single node system. It fulfills the config-as-code and the Web UI requirements. But, the complexity is a bit daunting and the yaml can get a little unwieldy. And also everything needs to be in a container.

Finally I settled on Nomad – It seemed to have a fine balance.

  • It can handle docker containers, execute shell scripts, run Java programs..etc.,
  • The config is stored in JSON like HCL files, which feels better than the YAML
  • It has a web UI to see running services and resource utilization.


[1] – When software are distributed using docker-compose files, they tend to have all the necessary services defined in them. That usually means, along with the core software they also have other things like a database (Postgres/MariaDB), a web server (Nginx/Apache), a cache (Redis/Memcache)..etc., So, when multiple software are deployed with vendor supplied docker-compose files, it ends up running multiple copies of the same services using up unnecessary CPU and memory.

Personal Bookmarking using YACY & yacy-it

A recent post on HackerNews titled Ask HN: Does anybody still use bookmarking services? caught my attention. Specifically, the top response which mentioned a distributed Search Engine YACY.

The author of the post mentions how, he has configured it to be a standalone personal search engine. The workflow is something like this:

  1. Browse the web
  2. Come across an interesting link that you need to bookmark
  3. Add the URL to the YACY Crawler and crawl to the depth=0, which crawls just that page and indexes it.
  4. Next time you need it, just search for any word that might be present on the page.

This is brilliant, because, I don’t have to spend time putting it the right folder (like in browser bookmark) or tagging it with right keywords (as I do in Notion collections). The full text indexing takes care of this automatically.

But, I do have to spend time adding the URL to the YACY Crawler. The user actions are:

  • I have to open http://localhost:8090/CrawlStartSite.html
  • Copy the URL of the page I need to bookmark
  • Paste it in the Crawling page and start the crawler
  • Close the Tab.

Now, this is high friction. The mental load saved by not tagging a bookmark is easily eaten away by doing all of the above.


Since I like the YACY functionality so much, I decided I will reduce the friction by writing a Firefox Browser Extension –

This extension uses the YACY API to start crawling of the current tab’s URL which I click the extension’s icon next to the address bar.

Note: If you notice error messages when using the addon, you might have to configure YaCy for CORS headers as described here

Add pages to YaCy index directly from the address bar
Right-click on a Link and add it to YaCy Index
If you running YaCy on the cloud or in a different computer on the network, set it in the Extension Preferences

Tip – Search your bookmarks directly from the address bar

You can search through YaCy indexed links from your addressbar by added the YaCy as a search engine in Firefox as describe here =>

  1. Go to Setting/Preferences => Search and select “Add search bar in toolbar
  2. Now Go to the YaCy homepage at http://localhost:8090
  3. Click the “Lens” icon to open the list of search engines
  4. This should now show the YaCy icon with a tiny + icon. Click that to add it as a search engine.
  5. Go back to search settings and select “Use the address bar for search and navigation” to hide the search box
  6. Scroll down to Search shortcuts -> double click the Keyword column next to the Yacy and enter a keyword eg., @yacy or @bm
  7. Now you can search Yacy from the address bar like @yacy <keyword> or @bm <keyword> to look through your bookmarks.

Podcast Notes: Darren Palmer on the EV Revolution


I listen to podcasts while doing chores like cooking, travelling in public transport, doing dishes…etc., In most cases, I just absorb what I can with the partial attention I provide to the podcast. Recently I thought, I would listen to some of them with a bit more attention, like a lecture and take some notes. I learnt a lot in this one from how EV range anxiety is a non-problem to wineries hedge their quality of wine my mixing grapes from different fields.


This one is a conversation between Bloomberg Opinion columnist Barry Ritholtz speaks and Darren Palmer, Ford Motor Co.’s vice president for electric vehicle programs. They take about Darren Palmer’s professional journey in Ford and Ford’s electric vehicle lineup and the future of Ford and Electric vehicles.

Ford Electric Vehicles

  • 11 Billion starting investment
  • 50 billion in current investment
  • use lessons from startups for velocity of execution
  • travelled to EV rich countries like Norway to China to learn
  • Interesting case where an EV user declined 100% refund of the EV vehicle and a BMW car to get rid of the EV and switch to petrol car, because he was holding the future and he doesn’t want to go back
  • focus on millennial market + Mustang brand
  • lack of Operating System is what was the limiting factor once the design was completed
  • using web technologies for creating the interface provided the team with great velocity
  • UI was hosted by a developer sitting at home, which was live updated during a test run based on customer complaint
  • from the first day, social media is being watched and feedback followed up
  • Team Edison – has a very flat structure
  • Ask what they want and move out of their way
  • fast track approvals and let them do their jobs

Converting Petrol Heads

  • Mustang club wasn’t comfortable and said they won’t be endorsing the EV Mustang
  • end of the launch presidents of both the Mustang clubs had purchased multiple vehicles
  • realisation – EV provides complementary experience with Petrol vehicles
  • petrol heads are not petrol heads, but performance heads and electric vehicles can deliver better performance
  • EV Mustang has such a performance that the only thing needed to be done to convert a person into EV is just getting them into the EV vehicle
  • tests for the vehicles are no longer done with humans because the acceleration limits are too high
  • torture tests for Ford vehicles on YouTube

E Transit – Vans

  • Focus on commercial customers
  • Payback starts from day 1
  • running costs are about half
  • extra mileage is limited because of predictability of routes – so EV mileage anxiety is not an issue
  • trips are planned and executed with right charging window
  • only 10% of our market
  • everyday seeing new use-cases in the commercial sector

Use-case #1: French Winery

  • wineries collect grapes from different parcels of land and mix them to get an average better wine (if 1 of 3 is bad), they still get a decent wine because of the 2 good parcels
  • but they don’t know if they have had 2 of 3 bad until a year later when they pull samples from the vats
  • a winery wanted to get the best quality and decided to use 1 vat per parcel, so at t
  • vat sizes are big and restriction on building above ground, so winery built the vats under ground by a mountain side
  • used the diesel vehicles for transportation
  • converted entire fleet to the electrical after seeing electrical performance
  • talks to American group of wine makers
  • now there is a huge demand from the wineries for electrical vehicles

USE-CASE #2: Mobile kitchens

  • popup kitchens with electric equipment
  • uses the battery to drive to people’s homes, plug-in and start cooking
  • battery operated electrical vehicles can use the battery to power the kitchen

BlueOval Charging Network

  • have the resources to setup independent network
  • but poor value for customers with each manufacturer setting up their own networks – so created a coalition
  • there are regional networks
  • remote monitoring of all stations
  • payment systems, terminals, ..etc all have to play along
  • they have instrumented vehicles, roaming the network, just to test the charging stations
  • problems identified are communicates to the CEOs of the stations of the network
  • problematic stations can be removed from the network if the quality problems aren’t addressed

Long charge times

  • perception is very different
  • charge in iPhone is bad compared to a flip phone, still no-one wants to switch back to a flip phone after using an iphone
  • the process of going to get petrol is obsolete
  • it actually takes 30 seconds to charge the car – because all you do is just plugin
  • daily charge is almost never conscious – go home, plugin and walk away, its charged and ready to go when you come back to it again
  • tech to charge faster is still developing
  • but it makes less difference than we think because the human element plays a very big role in when/how we charge
  • with 300 mile cars (current range of Ford EVs), it’s not actually a requirement
  • users will take a break after driving for a couple of hours (~200 miles), pit stops are more than necessary to replenish the charge
  • large miles like 800-1000 miles

Recycling and reusablity

  • materials are really in demand
  • if they don’t have access to minerals for batteries now, they are going to be in trouble
  • Blue City (Blue Ocean City? Blue Oval City??) – vertical integrated city for battery integration
  • collection of leftover and recycling to be more efficient in production

Buttons in the Cars

  • hardware switches/buttons are difficult to modify once installed
  • software provides the ability to change and modify
  • context level buttons – adaptable interface based on the context
  • parking camera buttons are not needed at 60 miles/hr – UI can hide them
  • smart vehicles can remember the way you park, so it will auto launch camera when on parking mode and can remember which camera is more frequently used and launch it automatically
  • smart UI with sensible human overrides
  • we think we need a button until we are presented with a better experience
  • no cycling around the cameras pressing the same button again and again

Customer education

  • basic problems because customers completely ignore the instructions
  • they just buy the car and use it without any research
  • so gamification kind of notifications to teach customers about nuances of an EV

Clean Python compiled files (.pyc) using py3clean

Recently ran into some issues with Python compiled files __pycache__ and *.pyc files not getting deleted when doing git checkout. The files have been created when I mounted the folder as a volume in a docker container and had different rights than the current user. So, I needed to use sudo to remove them recursively in the project.

That’s when I learnt of this cool new tool called py3clean. Simply run py3clean <folder> and it will remove all the Python compiled files recursively.

Huawei – HarmonyOS & LiteOS combo system

I recently bought a smart watch that will let me go for a run without 350 grams of electronics (my phone) jiggling in my pocket at every step. It is a Honor Magic Watch 2. It’s probably the cheap & beast option (costs about 12K) which supports onboard music storage. Now, I can go for a run with just watch and Bluetooth earphones 🙂

The LiteOS

Now the watch doesn’t support 3rd party apps like the pricier WearOS ones like the Samsung Galaxy Watches. How to make this thing smarter? Google lookup revealed that this thing is basically a clone of Huawei Watch 2 and they both run an operating system called LiteOS – which is a low power IoT OS developed by Huawei for its smart devices. The cool thing is, the OS is actually Open Source – (BSD-3 Licensed).

While it might be OpenSource, it still doesn’t solve “making it smarter”.

  • The watch’s source code is not open source – just the OS
  • There is no SDK to develop apps, so there is no documented way to know it’s APIs


Unsurprisingly Huawei is aware of the problem and they have been developing more modern OS called HarmonyOS, which will allow them to overcome this. HarmonyOS is being positioned as an alternate to Android for cross device integration. It runs on everything from watches, phones, tablets, to TVs.

How did Huawei develop such an OS so fast? Turns out it is just a fork of Android that has been rebranded/code obfuscated… or whatever. Basically a copy.

The Battery

One of the good thing about the LiteOS watches is their battery life. They are rated for 7 – 4 days of usage. Having used it for a week now, I will say it is kind of true. Even with GPS + Bluetooth Music on for 40 mins a day, it can still go for 4 days.

Now if Google’s WearOS can only provide a battery life of 24 – 48 hours, how can HarmonyOS which is a clone be any better?

Enter the combo OS

Huawei has done what we Linux users have been doing for decades – dual booting OS. Well, not exactly, but close. So the newer watches like Huawei Watch 3, come with both LiteOS and HarmonyOS loaded onto them.

For “smarter” requirements, HarmonyOS takes over, and for essentials, the LiteOS subs in. It is kind of a smart solution. With this combo solution, Huawei seems to bringing the best of both worlds to their watches.


The Honor watch also has a Huawei designed custom chip called Kirin which runs the LiteOS. So they could be going Apple’s way in Chip + Kernel + OS level integration.

Goodbye! Brave

Final Update (moved old updates to bottom)

Brave supports Chrome extensions. The problem was with the author’s version of Brave; it was roughly a year old. Very old versions of Brave didn’t include service keys (necessary for interacting with Brave’s privacy-preserving proxy-service), whereas modern versions do (which is why you and I are able to install extensions without any issue)

Sampson from Brave

To explain – the place I have installed Brave hasn’t made available any newer versions of the browser since December 2020. So the keys it shipped with have become outdated. Since no-update was available, I didn’t see the usual orange “Update” button on the taskbar.

⚠️ NOTICE: Closing comments as they have moved from discussing the issue to attacking me for not being crypto friendly.

Original Post

I have been using the Brave Browser for almost 2 years I think. @logic introduced it to me at some point and it has been my primary browser both in Desktop and Mobile, home and office computers since then.

I got my first heads up when I came across a post on HackerNews about Brave misbehaving due to the “Brave backend servers” being unreachable. It struck me as strange when a comment on the Github ticket mentioned that Brave servers need to be up for Brave to function.

This is a big design NO-NO for something as essential as a web browser. But then, the inertia of it being a daily driver, its amazing ad-blocking and tracker protection, Chrome extension compatibility, and the fact I haven’t faced any such issues prevented me from doing any changes.

Today I was looking to install an extension to manage the browser tabs and I ran into this

Can’t install any extension

I thought maybe the extension was buggy and tried a couple more and the same result for everything. And searching for the error led me to this Github Ticket, which again describes that it is a “server-side” issue and it was fixed.

Well, it is not fixed for me. But that’s beside the point. This amount of dependency for a browser to have on “backend servers” is ridiculous. For software, as important as a browser, through which I have come to access almost everything digital for me is unacceptable. So with this post being the last thing I will do on Brave, I will bid goodbye.

Exploring options…

  1. An interesting alternate is Vivaldi – It is trying to do what Opera was doing pre-Chrome. It rolls email, calendar, RSS reader, browser all into one and also provides built-in ad-blocking.
  2. Open source Chrome aka Chromium – This used to be my primary dirver before. So I am thinking of going back to it with the usual extensions like Ghostery, AdBlock+..etc., Not sure how much things have changed there.


Not sure who posted this in HackerNews. Thanks for all the feedback.

  1. I will be trying Firefox. So many people have recommended it. It’s something I have forgotten over the last couple of years and before that it frequently caused issues and was only my secondary browser for testing.
  2. There is nothing sinister about the decision or PR at work. I tried installing extensions, it didn’t work, I uninstalled and made a note of why I am doing it. Interpretations are all yours.

Update 2:

This is for people suggesting I jumped the gun and probably didn’t take the time to understand the real problem. I am an Chrome extension author myself, I had just published a new version of it only 8 hours before and tested installation on Brave and Chrome. So, I understand the issue. And I have linked to GitHub issues where this has been discussed.

Learning Rust – Day 1

Dev notes from learning Rust.

Official Website:


  • Rust is a compiled language – different from my daily drivers Python and JavaScript both interpreted languages.
  • Compiled means re-learning the difference between passing by reference and passing by value
  • Rust has mutability at the core of data management – so being conscious about immutable and mutable data
  • Errors are handled as a part of the Result of functions. Doesn’t need an explicit try...except (at least at this point)
  • Packages are called crates and there are binary crates & library crates
  • is the package registry
  • Cargo.lock file acts as the record of dependencies for Reproducible builds
  • cargo update updates the packages to the most recent bugfix version
  • there is something called Traits which provide access to functions of a crate.