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Outsmart Internet Hate – Join our grassroots effort to take back the internet from the haters and fakers. Publishing posts here that fight stereotypes with positive, verifiable facts about real people. — 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 Social Networking →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
jampple.com ↗	66 match 1 shared topics	Jampple \| A Blog About Ideas, Culture and the Internet	en	social-networking WordPress	robots llmsaihumans	emailphone	none
digitalmagic.media ↗	65 match 1 shared topics	Wholesome Post – Positive news and wholesome content. Spread wholesome messages online and in the real world. Get inspired to help make the world a better place. Be wholesome.	en	social-networking WordPress	robotsllmsaihumans	emailphone	none
1v1chat.one ↗	65 match 1 shared topics	1v1Chat – One-on-One Video Chat with Real People	en	social-networking WordPress	robotsllmsaihumans	emailphone	none
2ceu.com ↗	65 match 1 shared topics	2CEU \| Good to See You — Connection and Community – 2CEU is about connection — catching up, staying close, and celebrating the people in your life.	en	social-networking WordPress	robotsllmsaihumans	emailphone	none
bookinoapp.com ↗	65 match 1 shared topics	Narramate — Meet people through the stories that shaped you	en	social-networking	robotsllmsaihumans	emailphone	none
thuksa.com ↗	64 match 1 shared topics	Thuksa – Chat with Strangers Who Share Your Interests \| Video, Audio & Text	en	social-networking	robotsllmsaihumans	emailphone	none
bowaystradelimited.com ↗	64 match 1 shared topics	Boways - Connect Real People	en	social-networking	robotsllmsaihumans	emailphone	none
oviov.com ↗	64 match 1 shared topics	Oviov - The Internet of People	en	social-networking	robotsllmsaihumans	emailphone	none
wegowhere.com ↗	64 match 1 shared topics	WeGoWhere - Discover things to do with your favorite people	en	social-networking	robotsllmsaihumans	emailphone	none
weeclicked.com ↗	64 match 1 shared topics	WeeClicked \| Meet people going to the same events	en	social-networking	robotsllmsaihumans	emailphone	none
boredblast.com ↗	64 match 1 shared topics	FriendZone — Find Your People. Build Real Friendships.	en	social-networking	robotsllmsaihumans	emailphone	none
simplybreashlee.com ↗	64 match 1 shared topics	S i m p l y B r e A s h l e e – Ramblings about this and that.	en	social-networking WordPress	robotsllmsaihumans	emailphone	none
jayratkowski.com ↗	64 match 1 shared topics	So You're Stalking Jay Ratkowski - Jay Ratkowski On the Internet	en	social-networking WordPress	robotsllmsaihumans	emailphone	none
thezune.com ↗	64 match 1 shared topics	Create, Learn, and Succeed – Build Teams and Manage Projects with Zune	en	social-networking	robotsllmsaihumans	emailphone	none
siteapp.me ↗	64 match 1 shared topics	!site – Where Fans Meet Creators	en	social-networking	robotsllmsaihumans	emailphone	none
smiletrack.org ↗	64 match 1 shared topics	SmileTrack — Real Joy Moments from the Community	en	social-networking	robotsllmsaihumans	emailphone	none
9jlsss.com ↗	64 match 1 shared topics	jlsss - Explore Myriad Interests and Discover New Passions with JLSSS Online Platform	en	social-networking	robotsllmsaihumans	emailphone	none
bornbytheinternet.com ↗	64 match 1 shared topics	born by the internet	en	social-networking Ghost	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.