Choosing the best instant indexing tool is not only about speed. Many tools claim to get pages discovered quickly, but website owners need to compare them based on actual usefulness, pricing, workflow, reliability, and SEO value.
In 2026, instant indexing tools are widely used by bloggers, agencies, affiliate marketers, publishers, and eCommerce websites that want faster URL discovery.
Table of Contents
Calculate the luminance (Y) of the given color, and flip the text either black or white based on a pre-determined middle contrast figure. For a typical sRGB display, flip to white when Y < 0.36 (i.e. 36%)
First I want to acknowledge the massive amount of misinformation on the internet on this particular subject. The fact this field is still a subject of active research and unsettled science adds to the fun. I came to this conclusion as the result of the last few years of research into a new contrast prediction method for readability.
The field of visual perception is dense and abstract, as well as developing, so it is common for misunderstandings to exist. For instance, HSV and HSL are not even close to perceptually accurate. For that you need a perceptually uniform model such as CIELAB or CIELUV or CIECAM02 etc
| { | |
| "name": "yifan 精选源列表 (2026-10-13 实测可用)", | |
| "version": 2, | |
| "sources": [ | |
| { "name": "暴风资源", "url": "https://bfzyapi.com/api.php/provide/vod", "isAdult": false }, | |
| { "name": "非凡资源", "url": "https://cj.ffzyapi.com/api.php/provide/vod", "isAdult": false }, | |
| { "name": "量子资源", "url": "https://cj.lziapi.com/api.php/provide/vod", "isAdult": false }, | |
| { "name": "无尽资源", "url": "https://api.wujinapi.me/api.php/provide/vod", "isAdult": false }, | |
| { "name": "优酷资源", "url": "https://api.ukuapi88.com/api.php/provide/vod", "isAdult": false }, | |
| { "name": "光速资源", "url": "https://api.guangsuapi.com/api.php/provide/vod", "isAdult": false }, |
| #!/bin/bash | |
| set -eo pipefail | |
| export STEAMROOT=~/.local/share/Steam | |
| # Based almost entirely off of https://www.reddit.com/r/AsahiLinux/comments/1tk6zoe/steam_native_arm_aarch64_on_asahi_linux_fedora/ | |
| LATEST_ZIPFILE=$(curl -s https://client-update.steamstatic.com/steam_client_publicbeta_linuxarm64 | grep -E '"file"\s+"bins_linuxarm64_linuxarm64.zip' | cut -d '"' -f4) | |
| echo Downloading latest Steam aarch64 version |
| #!/bin/bash | |
| # Display the duration between timer start and stop. | |
| # | |
| # Usage: timer {start|stop} [format] | |
| # | |
| # Example: | |
| # | |
| # timer start | |
| # <script_commands> |
A pattern for building personal knowledge bases using LLMs.
This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.
Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.
Traversal is a chess-like board game made by darkfireXXI meant to remove every memorization aspect from it.
These scripts were found on Traversal's website
They were then unobfuscated and converted to TypeScript using LLMs.
| javascript:(function() { | |
| let id = parseInt(location.pathname.match("([0-9]{1,5})")[0], 10); if (id === NaN) {return}; | |
| fetch("https://api.ageofempires.com/api/v1/mods/Download", {"credentials": "include", "headers": { "Content-Type": "application/json" }, "body": JSON.stringify({id, boolValue: true}), "method": "POST", "mode": "cors"}).then(r => r.json()).then(r => {location.href = r.value.downloadUrl}).catch(e => console.log(e)); | |
| })() |