similar sites

Browse

Tools

🚀Submit Your Site to AIPush your URL to AI search engines 🤖AI Crawler CheckerSee which AI bots your site blocks 🎯AI Readiness CheckerScore your site 0–100 for AI 🔗Backlink CheckerWho links to any site — free All tools →

Sites similar to mosbench.com

Mosbench alternatives & similar sites

MOS言語仕様 — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Programming Languages →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
chefchezvous-nice.com ↗	63 match 1 shared topics	既に他の言語をマスターしている	ja	programming-languages WordPress	robotsllmsaihumans	emailphone	none
sestudylanguage.com ↗	62 match 1 shared topics	システムエンジニアが学ぶべき言語とは	ja	programming-languages WordPress	robotsllmsaihumans	emailphone	none
mindwarpchamber.net ↗	62 match 1 shared topics	プログラミング言語のJavaを学ぶメリット	ja	programming-languages WordPress	robotsllmsaihumans	emailphone	none
oceans14mtsieeestjohns.org ↗	62 match 1 shared topics	Go言語を習得するメリット - 活躍するエンジニアになる	ja	programming-languages WordPress	robotsllmsaihumans	emailphone	none
mirchetoshevski.net ↗	62 match 1 shared topics	Mirche Toshevski's Blog	en	programming-languages	robotsllmsaihumans	emailphone	none
gunlakemusic.com ↗	62 match 1 shared topics	人気上昇中のプログラミング言語 - アプリ開発はやっぱりこれ！	ja	programming-languages WordPress	robotsllmsaihumans	emailphone	none
9amcode.biz ↗	62 match 1 shared topics	需要が高いプログラミング言語 - 理想の働き方を叶えるエンジニア	ja	programming-languages WordPress	robotsllmsaihumans	emailphone	none
cyberbitsetc.org ↗	61 match 1 shared topics	プログラミング言語の人気と概要を探る - エンジニアとしてどう働くか？	ja	programming-languages WordPress	robotsllmsaihumans	emailphone	none
cgrabowski.dev ↗	61 match 1 shared topics	Christian Grabowski's Blog	en	programming-languages	robotsllmsaihumans	emailphone	none
howtojavascript.com ↗	61 match 1 shared topics	How to JavaScript · \| Because '5' === 5	en	programming-languages	robotsllmsaihumans	emailphone	none
miki-prosho.com ↗	61 match 1 shared topics	プログラミング初心者による試行錯誤記録 -プロショ - プログラミングの初心者がJavaを始めとするプログラミング言語について学びながら、理解できた範囲でそれぞれ説明してみました。	ja	programming-languages WordPress	robotsllmsaihumans	emailphone	none
phlrubyvip.com ↗	61 match 1 shared topics	phlruby - Discover the World of Ruby and Enhance Your Programming Skills Today	en	programming-languages	robotsllmsaihumans	emailphone	none
katsuide.com ↗	60 match 1 shared topics	へっぽこプログラマーの徒然日記 \| へっぽこプログラマーが日常やソフト開発など思った事を適当にダラダラと。	ja	programming-languages WordPress	robotsllmsaihumans	emailphone	none
assetslib.com ↗	60 match 1 shared topics	GitHub - farukalpay/Aster-Learning-Engine: A cross-platform, renderer-first educational graphics engine built with C++20 and Rust, featuring inspectable rendering pipelines and procedural mesh tooling. · GitHub	en	programming-languages	robotsllmsaihumans	emailphone	none
qlam.dev ↗	60 match 1 shared topics	Simply Delicious Code – Happy Coding	en	programming-languages WordPress WooCommerce	robotsllmsaihumans	emailphone	none
ql-blog.com ↗	60 match 1 shared topics	Quick Learning \| A blog about programming, tools, and ongoing technical learning.	en	programming-languages	robotsllmsaihumans	emailphone	none
qjk.net ↗	60 match 1 shared topics	Quinten Kent	en	programming-languages	robotsllmsaihumans	emailphone	none
qiaopan.tech ↗	60 match 1 shared topics	补漏砖匠	zh	programming-languages	robotsllmsaihumans	emailphone	none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.