Applying Algorithmic Optimization to Relationship Problems
Description
A meme featuring a stock photo of a couple in conflict. The woman, looking away with a dismissive hand gesture, says, 'All you talk about is Leetcode, it's a serious problem in our relationship.' The man, looking earnest and slightly confused, replies, 'Babe, just give me 45 minutes. I can find an optimal solution to this problem.' The humor arises from the programmer's quintessential mistake of applying rigid, logical, problem-solving frameworks to complex emotional issues. His response perfectly mirrors the language and constraints of a typical coding interview challenge (e.g., Leetcode), where finding an 'optimal solution' within a time limit is the goal. For senior developers, this meme is a relatable and humorous take on the tunnel vision that can occur during intense periods of job preparation or deep focus, where every problem starts to look like a nail for their algorithmic hammer, highlighting a common blind spot in engineer-to-human communication
Comments
15Comment deleted
He's still trying to figure out the time-space complexity of their arguments
The real back-tracking algorithm isn’t on LeetCode - it’s explaining to your partner why O(log n) cuddle time should satisfy SLA
He's about to discover that relationship problems have O(n!) complexity where n is the number of things you did wrong in the past five years, and memoization just makes it worse
When you've spent so long optimizing for O(log n) that you forget relationships require O(n²) emotional investment - and no amount of dynamic programming will memoize your way out of this one. The real edge case here is thinking you can binary search your way to relationship stability
Relationships: the one NP-hard problem where no dynamic programming memoization saves you from the timeout of endless Leetcode monologues
Optimizing for Big-O instead of SLOs - no DP in 45 minutes fixes a long-running, stateful relationship with changing requirements
Relationships are NP-hard with evolving requirements - skip the 45‑minute optimal search and run an iterative, feedback-driven heuristic with decent observability
Leetcode is a cancer of the hiring process, and it definitely doesn't show the problem solving skills of a software engineer. Change my mind Comment deleted
What does? Comment deleted
Showing your pet project, which solves some real-life business problem (or at least, imitation of it, if we are talking about some fintech apps). Reviewing, what technologies/frameworks were used, what if the reason of this choice. What could be improved, e.t.c Comment deleted
and then bro hits yuo with that O(n!) code 💀🙏🙏 Comment deleted
Yeah, could be. But it's not necessary to spend 24/7 on solving pointless tasks "in vaccum" in order to understand what is Big O notation, and acknowledge some of the common patterns on how not to write code (not to put triple nested loop, for example). Companies nowadays, especially tech giants, like Google, created a cult around stupidly memorising patterns from Leetecode just to pass an algorithmic interview. And what's even worse, that many companies, which are definitely NOT Google (or any other MAANG company) by any means, inherited that stupid algo brainfuck with livecoding. And then they will whine about how "cAnDiDaTeS NoWaDaYs aRe sO TeChNiCaLlY UnPrEpArEd.". Comment deleted
leetcode will at least indicate that your knowledge of complexities are not limited to only theories but that you also practiced a lot and more confident in solving problems Comment deleted
That's debatable. Some HR could assume if you have a big pet project you'll spend a lot of free time on it and will be less productive at work 🫣 Comment deleted
But should I really look for a job if I have a project that solves a real life business problem? Besides, most companies usually ask questions that you listed in addition to algorithmic ones Comment deleted