Hey API users should experience another 2% to 8% faster SDK generation speed. Lesson learned: microoptimizations do add up, if they are in very hot paths.

Everything you need to know about copy trading on Polymarket Polymarket works through hybrid CLOB The deal matches on off-chain servers, only the settlement gets into the blockchain. When you see "the same block", the leader bargained seconds ago. Real detection delay figures: > node mempool ~320 ms > Third-party RPC mempool ~1 120 ms (3.5× worse) > Wait for the confirmed block ~2,450 ms (7.5× worse) > 100 ms-2 sec takes only the path from the off-chain match to the appearance of the transaction in mempool. It's without your bot at all. But the main conclusion of the article is not about milliseconds. Uptime is more important than microoptimizations. In September 2025, Polygon went into a 12-hour incident, finality - 780 seconds. Ideal latence = 0 if the bot is lying. What to do: - join spottr - find traders - amylase their edges - monitoring with alerts Everything else is a game of marketing figures.

Python still wins for me 😂 productivity > microoptimizations

Remember that the US has busted at least 2 illegal labs that were doing things with the virus. So there is that. But at some point it was going to simply hit a plateau and do microoptimizations around that plateau. Will not go into your theory, just point out that what we are observing now (=performance degradation across the age span) is not compatible with the goal stated in your hypothesis. The effects on the (no longer vaccinated) kids are of medical interest and as @greg_travis has been consistently showing with data are not trivial.

In source code -1 is one byte more than '1'. In an x86-64 binary, -1 might be two bytes less than 1. Follow me for more codesize microoptimizations that nobody cares about.

yasuo teemo 1k hp tod, this is a couple microoptimizations from being a roundstart tod because this routing ALMOST builds an entire bar

So let's dive into some details about how this is architected and why it's so fast - Data oriented design - Brand prediction - Microoptimizations

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The JavaScript/node stuff is crazy. A browser engine trying to run a dynamically typed language as fast as possible on the backend. No type information so its hard to optimize for performance. When using any kind of typed language that is compiled to native you are in a different division when it comes to performance compared to node/js and python. However its IO that counts in the end usually. The more you can optimize IO or reduce the amount of IO the faster your crud app will be. A JS app that uses clever caching will be faster than your C web app without caching. Therefore it's not a good idea to deal with microoptimizations. Look at the IO first. This is for IO bound apps ofcourse. For CPU bound apps then its a different story. CPU bound apps are not so common.

Clearer code is better code. If your cute semantic trick results in the most miniscule of microoptimizations, yet renders the code harder to read and understand, it is worse code. Period.

The whole goal of designing for performance up front is to avoid large amounts of time spent on microoptimizations later on. Take the huge 100-1000x improvements in performance that come from a solid architecture. Know what’s required to optimize further for another 5-10x (rearranging data in structs to better reflect memory access patterns, bitpacking tighter), but defer that until later. The problem of people that complain about devs wasting time on microoptimizations is that they have architectures that prevent such massive optimization opportunities from being available in the first place. A codebase that has you dying from performance in little chunks all over the place will require vast amounts of efforts to get small 10-20% improvements. Getting a good bang for your buck is important and that requires the right architecture. Quite frankly, I don’t even focus on profiling and optimizing anything at all unless I’m pushing up against my tick deadline and need more room to add another feature.

Microoptimizations matter so little it's not logical to spend time on them But I did anyway, because TTFB is crucial when serving HTML ghtml p99 went from 2.47 ms to 2.25 ms in kitajs/html benchmarks

What are your elite morning wakeup microoptimizations Eg: - when you get up to pee, brush your teeth on the same visit so the morning routine is complete - set it up so the light shines on your face in the AM - have timed coffee machine that gets ur coffee ready as you rise

I Am Your Beast's demo has given me a high I haven't gotten since Bizarre's Club. Doing laps of time trial microoptimizations with headshots and caught weapons just feels *so* clean

indeed - but a Twitter that ever escaped the coarsening tunnel-vision microoptimizations of its past & present management could fix this! it could hint in UI a warm, long history of interactions between people who are being superficially prickly to each other. …

I tend to just use perf, if I'm looking go squeeze a bit more out of something. The above is more about re-thinking how we can do things smarter. Microoptimizations come later ;-)

I think I’ve reached a point where the only ways I can improve on pot is by microoptimizations or just guessing right

if python truly is the blocker on your hot path you know it. I've rewritten programs that took hours to take seconds and the "trick" was not parsing the same gigabyte file multiple times or not copying huge amounts of RAM repeatedly. It wasn't microoptimizations.

It's an in-language remove_reference_t, which makes for a neat shortcut in some implementations. It also means you can implement `std::move` entirely in the language without needing std::remove_reference_t. Both of these are microoptimizations, though.

Ya sure. I dont think anyone really knows how the microoptimizations work piled ontop of a good baseline