performance Memes

Successfully Optimised The Startup Time By 30 Seconds

3 days ago 233.3K views 0 shares

You know you've reached peak engineering when your "optimization" is just removing the debug sleep() you forgot about. Nothing says "elite programming skills" quite like spending hours profiling your app, analyzing bottlenecks, checking database queries, only to discover the 30-second delay was literally just you telling the app to take a nap. We've all been there—adding a quick sleep() during debugging to test something, then shipping it to production because who actually reviews their own code? The best part is confidently announcing your "optimization" to the team like you just rewrote the entire codebase in assembly.

Pretty Fast Ehhh

Hardware Gamedev Programming

3 days ago 220.8K views 0 shares

Oh honey, you've got a 32-core CPU that could probably simulate the entire universe, 32GB of RAM that could hold the Library of Congress in its sleep, and a 2TB NVMe drive that reads data faster than you can say "bottleneck"... and yet the Epic Games Launcher still takes 2 MINUTES to open? The audacity! The betrayal! It's like buying a Ferrari and watching it get passed by a bicycle. Your poor computer is sitting there flexing all its muscles, ready to crunch numbers and render entire galaxies, but instead it's being held hostage by a launcher that apparently runs on hopes, dreams, and Electron bloat. Nothing quite captures the existential dread of watching your NASA-grade hardware struggle with basic software like a toddler trying to open a pickle jar.

Gonna Be A Tough Year Ahead

Hardware Gamedev

3 days ago 159.8K views 0 shares

Your girlfriend buys you a game, and suddenly your gaming rig becomes a tiny toy train trying to pull a full-sized locomotive. The absolute disrespect to your potato PC is palpable. She probably got you Cyberpunk 2077 or some Unreal Engine 5 masterpiece while you're sitting there with integrated graphics and 8GB of RAM. The construction workers watching this disaster unfold represent you and your girlfriend, both witnessing your poor machine attempt to render anything above 15 FPS on low settings. Time to either upgrade that rig or pretend the game "just isn't your style" while you go back to playing Stardew Valley.

My Lap Has Third-Degree Burns, But The Fps Is Worth It

Hardware Gamedev

3 days ago 159.2K views 0 shares

My Lap Has Third-Degree Burns, But The Fps Is Worth It

Desktop gamers with their RGB-infused space heaters running at a crispy 65°C: "NOOO this is unacceptable!" Meanwhile, laptop gamers casually accepting their device hitting 90°C like it's just another Tuesday. The duality here is beautiful—desktop users panic at temperatures that would make laptop users yawn. Gaming laptops are essentially portable grills that occasionally run code. You're not just playing games; you're simultaneously cooking dinner on your thighs while your laptop's fans scream like they're auditioning for a death metal band. But hey, at least you can game anywhere... as long as "anywhere" includes access to a fire extinguisher.

Platform Exclusivity

Gamedev Microsoft Windows Linux

5 days ago 281.7K views 1 shares

DirectX strutting around like it owns the gaming world because it's Microsoft's proprietary darling. OpenGL is sitting there knowing full well it can't quite match DirectX's performance and Windows integration. But then Vulkan rolls in like "hold my beer" and absolutely obliterates the competition with cross-platform dominance and near-metal performance. Vulkan is basically what happens when the industry got tired of DirectX's Windows-only shenanigans and decided to create something that actually works everywhere—Linux, Windows, Android, you name it. Lower overhead, better multi-threading, and it doesn't care what OS you're running. DirectX may have the throne on Windows, but Vulkan is the people's champion.

Max Autotune Prune Choices Based On Shared Mem Flag Wasn't As Groundbreaking As It Was Promised To Be

AI Programming Python Debugging Backend

8 days ago 254.6K views 0 shares

Max Autotune Prune Choices Based On Shared Mem Flag Wasn't As Groundbreaking As It Was Promised To Be

You've enabled every optimization flag known to humanity. CUDA kernels? Optimized. Batch sizes? Tuned. Mixed precision? Obviously. You've read the entire PyTorch performance guide twice, set torch.backends.cudnn.benchmark=True , and even sacrificed a USB drive to the machine learning gods. Your training loop still moves like it's running on a Pentium II from 1997. Turns out all those fancy optimization techniques that promised "up to 10x speedup" in the blog posts were tested on datasets that fit in a teacup and hardware that costs more than a small car. The real bottleneck? Your data loader was single-threaded the whole time. Classic.

Nobody Tell Him About Ss Ms

Programming Algorithms Backend

9 days ago 141.8K views 0 shares

God really said "fine, you want attention? Here's a whole new unit of time complexity" and dropped milliseconds, microseconds, and nanoseconds on humanity like divine punishment. The Tower of Babel reference is *chef's kiss* because just like that biblical disaster where everyone suddenly spoke different languages, we now have a fragmented mess of time units that nobody can agree on. Seconds seemed perfectly fine for centuries, but nooo, computers had to ruin everything by being too fast. Now we're measuring things in nanoseconds like we're racing photons. Wait until this guy finds out about picoseconds and femtoseconds—that's when the real existential crisis begins.

Only On Linkedin

Python Rust Golang Csharp C++

10 days ago 398.8K views 1 shares

LinkedIn influencers really woke up and chose violence by placing Python in the "high performance" category. That's like calling a minivan a sports car because it has wheels. JavaScript sitting comfortably in low performance is the only honest thing about this chart. The real comedy gold here is that this person is a "Compiler & Toolchain Engineer" who apparently doesn't understand that popularity and performance have zero correlation. It's giving "I made a chart in 5 minutes to farm engagement" energy. And judging by those 32 comments, the strategy worked—probably filled with C++ devs having aneurysms and Python devs writing essays about how "performance doesn't matter for most use cases." LinkedIn: where technical accuracy goes to die, but engagement metrics thrive.

Plane Old Fix

Networking Webdev Programming Backend Cloud

12 days ago 332.8K views 1 shares

When your "optimization" strategy is literally just moving your users closer to the server. Why bother with CDNs, caching, or code optimization when you can just relocate your entire user base? It's technically not wrong—latency IS mostly about physical distance and network hops. The speed of light ain't getting any faster, so might as well work with what we got. The interviewer probably expected answers like "implement a CDN," "optimize database queries," or "add regional servers." But nah, forced migration is clearly the most cost-effective solution. Who needs AWS edge locations when you have plane tickets?

Codea Toofast Forhumans Totrust

Frontend Webdev Javascript Programming Backend

13 days ago 286.9K views 0 shares

When your code is so optimized that it becomes a UX problem. The Carfax devs built a report generator that could crunch data in under 10ms, but users were convinced it was fake because "nothing that fast can be real." So the frontend team literally added a fake loading bar with random delays to make it feel more legitimate. This is peak software development: spending years optimizing performance, only to artificially slow it down because humans have been conditioned by decades of slow software to distrust anything that actually works well. We've trained users to equate "slow = working hard" and "fast = probably broken." The fact that this fake progress bar is allegedly still in production today is *chef's kiss*. Somewhere in that codebase is a setTimeout() that exists purely for psychological reasons. That's not technical debt—that's emotional support code.

So Optimized..

Gamedev Hardware Programming

15 days ago 276.7K views 0 shares

When someone brags about a game being "well optimized" because it ran on their ancient potato PC with a 4080 GPU. Yeah buddy, that's not optimization—that's just raw brute force overpowering terrible code. It's like saying your car is fuel-efficient because you installed a rocket engine. The 4080 could probably run Crysis on a toaster at this point.

Compile Time Over 9000 Min

C++ Programming Python Debugging

18 days ago 281.2K views 1 shares

First-year CS student discovers that C++ is faster than Python and suddenly thinks they're Linus Torvalds. Meanwhile, the rest of us are out here writing buffer overflows and memory leaks in both languages like true professionals. Sure, your C++ might be faster, but at what cost? Your sanity? Your weekends? The ability to remember where you allocated that pointer? Python devs know the truth: we trade a few milliseconds for not having to debug segfaults at 3 AM. But go ahead, young padawan, write your unsafe code. We'll be here when you realize that premature optimization is the root of all evil, and that "fast" doesn't mean much when your program crashes before it finishes.

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