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GitHub - GitHubDaily/GitHubDaily: 坚持分享 GitHub 上高质量、有趣实用的开源技术教程、开发者工具、编程网站、技术资讯。A list cool, interesting projects of GitHub. · GitHub — 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 Technology And Computing →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
ftdj.io ↗	63 match 2 shared topics	GitHub - MicahLyle/ft: Django Free Threading Experiments · GitHub	en	technology-and-computing	robotsllmsaihumans	emailphone	none
mdstresslab.org ↗	63 match 2 shared topics	GitHub - nikhil-admal/mdstresslab: MDStressLab in C++ · GitHub	en	technology-and-computing	robotsllmsaihumans	emailphone	none
5faith.xyz ↗	63 match 2 shared topics	5faith分享栈	en	technology-and-computing	robotsllmsaihumans	emailphone	none
zrbuilds.com ↗	63 match 2 shared topics	ZR Builds — Projects by Zoheb Rahiman	en	programming-languages	robotsllmsaihumans	emailphone	none
abhishekkumar.xyz ↗	62 match 2 shared topics	Abhishek Kumar \| thoughts, projects and notes	en	technology-and-computing	robotsllmsaihumans	emailphone	partial · 8
williamwelna.dev ↗	62 match 2 shared topics	William Welna's Github Projects	en	programming-languages	robotsllmsaihumans	emailphone	none
cubiquity.net ↗	62 match 2 shared topics	GitHub - DavidWilliams81/cubiquity: Cubiquity is an experimental micro-voxel engine written in C++ and released into the public domain. · GitHub	en	programming-languages Drupal	robotsllmsaihumans	emailphone	none
dmeado12-nkgcs.com ↗	62 match 2 shared topics	Da'Mya' Meadows Portfolio (Welcome!) – This is a website for all of my coding/data projects :D	en	programming-languages WordPress WooCommerce	robotsllmsaihumans	emailphone	none
abash.space ↗	62 match 2 shared topics	abashurov (Aleksandr Bashurov) · GitHub	en	technology-and-computing	robotsllmsaihumans	emailphone	none
merlinlang.xyz ↗	62 match 2 shared topics	dissertation-dsl-grammar \| Lark grammar project for the DSL that I am building as part of my doctoral research	en	technology-and-computing	robotsllmsaihumans	emailphone	none
abuzzany.dev ↗	62 match 2 shared topics	Angel Buzany \| Welcome to my blog, where I share insights from my professional journey, my personal interests, and the simple joys of a life surrounded by code and tails wagging.	en	programming-languages	robotsllmsaihumans	emailphone	none
sschr15.com ↗	62 match 2 shared topics	sschr15 · GitHub	en	technology-and-computing	robotsllmsaihumans	emailphone	none
declan-spec.org ↗	62 match 2 shared topics	GitHub - philsquared/declan: A, data-only, DEClarative LANguage. Think statically typed JSON, with a nicer syntax, and algebraic data types. · GitHub	en	programming-languages	robotsllmsaihumans	emailphone	none
dl-thompson.com ↗	62 match 2 shared topics	DL-Thompson.com - My developer profile that contains information about me and some projects I've worked on.	en	programming-languages	robotsllmsaihumans	emailphone	none
getsetproject.com ↗	62 match 2 shared topics	A Gateway to Computer Science Projects	en	technology-and-computing	robotsllmsaihumans	emailphone	none
alexander-peterson.net ↗	62 match 2 shared topics	Projects of Alexander Peterson	en	programming-languages	robotsllmsaihumans	emailphone	none
abdullahslab.com ↗	62 match 2 shared topics	Abdullah’s Lab \| My explorations, experiments, and projects.	en	programming-languages	robotsllmsaihumans	emailphone	none
mygitwrap.com ↗	62 match 2 shared topics	My Git Wrap - Your GitHub Year Wrapped	en	technology-and-computing	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.