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MySharePad - Share Code, Text, Rich Text & JavaScript Playground — 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
flintable.com ↗	65 match 2 shared topics	Flintable - Fixable lint rules Playground	en	technology-and-computing	robotsllmsaihumans	emailphone	none
curlycat.dev ↗	64 match 2 shared topics	CurlyCat — We code, create, and open source.	en	programming-languages	robotsllmsaihumans	emailphone	none
lazycoderonline.com ↗	64 match 2 shared topics	LazyCoder Online \| Final Year Project Source Code with Reports (Java, Python, PHP, AI)	en	programming-languages	robotsllmsaihumans	emailphone	partial · 8
abuzzany.dev ↗	64 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
andrewthecoder.com ↗	63 match 2 shared topics	Andrew the Coder	en	programming-languages	robotsllmsaihumans	emailphone	none
sillycodeproject.com ↗	63 match 2 shared topics	Silly Code Projects - a place to put the code thoughts	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
anaykamat.com ↗	63 match 2 shared topics	Anay Kamat’s Weblog \| Blog to share my thoughts and ideas on Technology, Programming, and Career	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
cyclikal.dev ↗	63 match 2 shared topics	cyclikal.dev \| Source code for https://cyclikal.dev/	en	technology-and-computing	robotsllmsaihumans	emailphone	none
iborntocode.com ↗	63 match 2 shared topics	iBornToCode - Quality Code, Born Developers, Professional Programming Community	United States~ en	programming-languages	robotsllmsaihumans	emailphone	none
mcjug.org ↗	63 match 2 shared topics	Montgomery County (MD) Java User Group	en	programming-languages	robotsllmsaihumans	emailphone	none
trevorcroteau.com ↗	63 match 2 shared topics	Trevor-Croteau-Data-Portfolio \| This is a place for my journey through learning data science. I will include the code produced for each project of my mine as well as a brief description and the visualizations produced.	en	programming-languages	robotsllmsaihumans	emailphone	none
amyknowscode.com ↗	63 match 2 shared topics	Amy Knows Code	en	technology-and-computing	robotsllmsaihumans	emailphone	partial · 8
productivecoder.com ↗	63 match 2 shared topics	Productive Coder \| Substack	en	technology-and-computing	robotsllmsaihumans	emailphone	none
allurcode.com ↗	63 match 2 shared topics	All your code are belong to us	en	technology-and-computing Ghost	robotsllmsaihumans	emailphone	none
bryanlor.com ↗	63 match 2 shared topics	Bryan Lor - A place to scribble down everything tech and code from Bryan Lor.	en	programming-languages WordPress WooCommerce	robotsllmsaihumans	emailphone	none
deadem.com ↗	63 match 2 shared topics	Deadlock, Dota 2 & CS2 Demo Parser — Source 2 Replay Libraries	en	programming-languages	robotsllmsaihumans	emailphone	none
decodeerror.com ↗	63 match 2 shared topics	decodeerror — Paste the error. Get the fix.	en	technology-and-computing	robots llmsaihumans	emailphone	none
deepcodeonline.com ↗	63 match 2 shared topics	Deep Code Online - Digital And Binary Space Continuum Of Michael Blanco	en	technology-and-computing WordPress	robots llmsaihumans	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.