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Linkedopenactors alternatives & similar sites

Einleitung — 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 Databases →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
mbobin.me ↗	60 match 2 shared topics	mbobin’s blog	en	databases	robotsllmsaihumans	emailphone	none
mcleveland.dev ↗	60 match 2 shared topics	Matthew Cleveland — Data Engineer	en	technology-and-computing	robotsllmsaihumans	emailphone	none
meddebriefer.org ↗	60 match 2 shared topics	MedDBriefer Project Page	en	databases	robotsllmsaihumans	emailphone	none
mikkopallas.dev ↗	60 match 2 shared topics	Mikko Pallas	en	databases	robotsllmsaihumans	emailphone	none
crystord.com ↗	60 match 2 shared topics	Home \| Crystord	en	databases	robotsllmsaihumans	emailphone	none
culver.dev ↗	60 match 2 shared topics	anthony.culver.dev	en	technology-and-computing	robotsllmsaihumans	emailphone	none
jvalue.org ↗	60 match 2 shared topics	The JValue Project – Open data, easy and social	en	databases WordPress	robotsllmsaihumans	emailphone	none
kennanmasters.com ↗	60 match 2 shared topics	Kennan Masters — Data Engineer & Problem Solver	en	databases	robotsllmsaihumans	emailphone	none
dnahub.co.uk ↗	60 match 2 shared topics	DnA Data Profiling Solution - Instant Insight, Zero Effort	United Kingdom en	databases	robotsllmsaihumans	emailphone	none
gavindraper.co.uk ↗	60 match 2 shared topics	Gavin Draper – Blog	United Kingdom en	databases	robotsllmsaihumans	emailphone	none
0xfd.com ↗	60 match 2 shared topics	0xfd – …	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
carrotshandbagscheese.com ↗	60 match 2 shared topics	CarrotsHandbagsCheese	en	technology-and-computing	robotsllmsaihumans	emailphone	none
cathrinewilhelmsen.net ↗	60 match 2 shared topics	Cathrine Wilhelmsen \| Speaking and blogging about Fabric, Data Factory, Synapse and SQL!	en	databases	robotsllmsaihumans	emailphone	none
cathrinew.net ↗	60 match 2 shared topics	Cathrine Wilhelmsen \| Speaking and blogging about Fabric, Data Factory, Synapse and SQL!	en	databases	robotsllmsaihumans	emailphone	none
centrum.dev ↗	60 match 2 shared topics	Hieu's 🇸🇪 Tech Gossip	en	databases	robotsllmsaihumans	emailphone	none
travisgan.com ↗	60 match 2 shared topics	Travis Gan	en	databases	robotsllmsaihumans	emailphone	none
trigyan.com ↗	60 match 2 shared topics	Trigyan \| TRANSFORM “UNCURATED DATA” TO “ACTIONABLE DATA” WITH GLIDE	en	databases WordPress WooCommerce	robotsllmsaihumans	email phone	none
troyascher.com ↗	60 match 2 shared topics	Troy Ascher - Data Engineer \| Snowflake, dbt, Python	en	databases	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.