Software engineers have been in demand for a while, but we're now in unexplored territory. With the decline of international sudents and CS graduates during the pandemic-era, and closing bootcamps and universities, software engineering compensation is going to climb to new heights.

Here's a comment from a Hacker News thread a few weeks ago:

"Stripe recently offered $550k to a generalist backend developer who is a dear friend of mine, with about 7 years of experience.

Another close friend joined Google recently as a generalist UI developer for $490k. 6 years of experience.

Last FAANG offer I personally got was from Facebook a couple years ago, for an SRE role at $450k (believe it was top of E5 band).

My current comp at a hedge fund is > $1M/y, as a tech lead working in infra SWE."

Yes, this sounds absurd-- but the reality is that the big tech companies are making millions PER employee, justifying these wages. Software engineering is perhaps the greatest wealth creator in our lifetimes-- so how do you take advantage of this quickly?

I've found interviewing.io to be the answer, and a perfect compliment to AlgoDaily. Not only do you get anonymous mock interview practice, which is itself one of the fastest ways to get better-- every interviewer is from a top company that's at the forefront of these huge wages.

I've used interviewing.io several times in the past-- at companies as the interviewer, and also for my own training. It'll help you in multiple ways:

• First, the technical competence of interviewers is at the same level of folks you'll encounter in actual scenarios. You'll see they are no smarter than you are, and that they want you to succeed. That's half the psychological battle.

• You'll practice under pressure. It's one thing to write questions in a text editor with unlimited time, and another to have someone evaluating you (even if it's nicely!)

• If you absolutely kill it during the interview, the interviewer has the option to move you further along in their actual applicant pipeline, so you may just land a job from it.

Practice with a FAANG engineer today. As always, thanks for reading, and happy coding! I'm available for questions and feedback at this email, just reply directly.

There's so much content on AlgoDaily now-- this is great for longer term study, but what if you need something short and quick? Or what if you've gotten the fundamentals down, but just need a quick refresher?

I'm excited to launch a new, much asked-for feature: Technical Interview Flash Cards.

These flash cards provide a broad overview of software engineering interview concepts, let you filter by topic, and are 100% free to use and practice on.

Start reviewing the flash cards now

Since 2018, AlgoDaily has been one of the most sought after resources online for technical interview prep. All told, over 20,000 of you have used the site to prepare for interviews, and hundreds have written to us about the jobs you've landed as a result.

Since inception, we've added hundreds of tutorials, videos, and visuals on must-know topics like big O-notation, data structures, and algorithms. But you may have noticed a few interesting additions in the past year: lessons on systems design, OOP, and even machine learning?

One of the most important aspects of our operations is to stay on top of industry trends. We regularly track what types of assessments companies are using to gauge skills, talent, and fit. And we've determine that it's official-- there's a move away from whiteboard, leetcode-style interviews.

Apart from the elite FAANG companies, most tech companies have seen the backlash against self-contained algorithmic challenges and are trying different things during coding interviews:

• The intervewers may take a real world function or class they've had to implement at work, and tell you to code it up-- given certain constraints.
• You may be given a feature to implement, and a pre-existing environment, and asked to build out an MVP.
• They could give you a code sample with a bug or two, and ask you to identify or fix them.
• They may want to have you pair program through any combination of the above.

So does this mean practicing algorithms and data structures is now useless? Nope, not quite.

Note that in the above list of alternatives, you'll still be tasked to exercise your problem solving skills-- only on more practical examples.

You're less likely to be asked to implement a trie, but more likely to have to know how to use a tree class's APIs to model a folder hierarchy. These fundamentals are still necessary, but may not be sufficient. While you may not need to go deep on advanced data structures, interviewers will want to see a combination of good OOP design, UI considerations, clean fundamentals, and much more practical skills.

We want to make sure your bases are covered, and as such, we're expanding our vision. We've split up our curriculum into 10 self-contained courses, all geared towards bolstering your career and helping you land your dream job. Systems Design and Architecture will walk you through the fundamentals and architectures of data-intensive applications. Our OOP course gets you familiar with how to design better programs.

Over the next few months, we'll be filling up these courses with new tutorials, videos, and visuals weekly. As with the algorithmic challenges, we'll shortly support having a lesson from each course emailed to you daily, for easy consumption. Eventually, we'll be adding more courses as well-- all fundamentally helping you achieve three sets of career goals:

1. Learn to code and get interviews
2. Crush interviews and break into the industry
3. Level up, get promoted, and build wealth

Once they're more fleshed out, our courses will be sold separately to help folks zone in on one area of focus. Current lifetime members have access to all existing courses. And for now, all courses remain bundled in the AlgoDaily Premium Package, now heavily discounted-- 10 courses for the price of one.

We've added three incredibly useful new features to help you land your dream job! With the help of feedback from our wonderful community, we continue to make AlgoDaily the world's best one-stop shop solution for coding interview prep.

We hope you like what you find, and that it helps you feel more confident in tackling technical interviews. Here's what we've landed:

Want To Save Your Solutions? Export Them in Bulk

Many students create GitHub repositories for their AlgoDaily solutions. This could be for reference down the line, or to create a portfolio of code samples. Regardless, we'd like to make it easier for you. You now have the option to easily export all your solutions on the settings page.

Selection Menu to Share, Lookup, and Read Via Speech to Text

AlgoDaily has text content-- LOTS of it. The students who derive the most out of the course tend to be active readers; that is, they like to play with the materials by highlighting, writing it down, sharing quotes, etc.

Now, any text selection on the site will trigger a helpful menu that let's you share the quote on social, look it up in a small window on Google, translate the text, or even have it read to you!

Clip and Save Screens as Notes

Finally, we're thrilled to announce we're building out a flash cards feature. Eventually, you'll be able to review concepts with spaced repetition. As the first iteration, you can now clip and save chunks of content in each tutorial to Notes in the right hand side. To do so, hover over any floating note icon to the upper right of a content blob, and click "Add to Notes". In the future, you'll be able to save all your notes in one place, and render it as a PDF.

Some of these features are exclusive to premium members.

We continue to aggressively add more lessons -- huge haul this time. We are committed to getting you your dream software engineering job by teaching you what you need to know to crush interviews. I've seen this barrier be broken and move thousands of people from poverty to upper middle class. It's insane the level of leverage mastering this material has.

You spend 1/3 of your life at your job. Shouldn't it be one of the best in the world? Do the work, get prepared, and let's take over tech.

Longest Substring With No Duplicate Characters - Given a string of characters, can you find the longest substring of the string that has no repeating characters?

Examining the YouTube Architecture (premium) - This lesson aims to uncover how a large-scale application such as YouTube operates. More specifically, we will examine the entire system architecture, and understand the different components involved in the process. We will also have a look at the algorithms that internally work within YouTube that are responsible for personalized user content.

Classical N-Queen Problem - Suppose you're asked in an interview to design an N-Queen problem solver. This is a generalization of the world famous 8-Queen Problem. The given board will always be a square. It is proven that for n > 3, there is always at least one solution.

Potential Bottlenecks in Software Performance Testing (premium) - In this lesson, we will consider the five most common bottlenecks that occur in applications during the performance testing phase. Rather than focus on small programs, we will consider an example of an application or software and understand the performance tests in this context.

From Byte to Gigabyte to Petabyte: Understanding Data Size - To effectively store data on computers, it is important to know how the storage mechanism of computing systems takes place. To utilize computing resources effectively, data sizes are an important understanding.

Shortest Path Distance in Matrix (premium) - You are given a 2D matrix with several characters contained in its cells. You will also have two distinct characters which are guaranteed to be in the given matrix. Your job will be to find the minimum manhattan distance between the two characters in the matrix.

Not a premium member? If want to earn more, work with brilliant coworkers, and impact the lives of millions-- consider getting lifetime access today at our discounted rate-- as stated previously, all lifetime AlgoDaily members will have access to SystemsDesignDaily (our 90-day drip systems design course) at the time of its launch in 2-3 months..