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Outreach Magic | Stop stitching CSVs across sequencers — 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
trace-nest.com ↗	62 match 2 shared topics	Observability Platform for API Monitoring, DB Monitoring, and Distributed Tracing \| Trace Nest	en	technology-and-computing	robotsllmsaihumans	emailphone	none
towardecisionscience.com ↗	61 match 2 shared topics	Towards Decision Science	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
towards-ds.com ↗	61 match 2 shared topics	Towards Decision Science	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
acsa.page ↗	61 match 2 shared topics	Data Science Lab –	en	databases WordPress	robotsllmsaihumans	emailphone	none
laplab.me ↗	61 match 2 shared topics	About \| Nikita Lapkov	en	databases Reaction Commerce	robotsllmsaihumans	emailphone	full · 17
ontoic.com ↗	61 match 2 shared topics	IcebergDocs	en	technology-and-computing	robotsllmsaihumans	emailphone	none
lampyre.io ↗	61 match 2 shared topics	Lampyre: Data analysis & OSINT tool for everyone	en	databases	robotsllmsaihumans	emailphone	none
ontopic.ai ↗	61 match 2 shared topics	Ontopic, we make data actually usable	Italy~ en	databases	robotsllmsaihumans	emailphone	none
larry-henry-jr.net ↗	61 match 2 shared topics	Data Science Portfolio \| Larry Henry Jr.	en	technology-and-computing	robotsllmsaihumans	emailphone	none
thiagob.dev ↗	61 match 2 shared topics	Thiago Baptista \| Engineer. Builder. Problem Solver.	en	technology-and-computing Spree Commerce	robotsllmsaihumans	emailphone	none
sangthai.dev ↗	61 match 2 shared topics	Sang Thai — Data Engineer	en	databases Spree Commerce	robotsllmsaihumans	emailphone	none
mikkopallas.dev ↗	60 match 2 shared topics	Mikko Pallas	en	databases	robotsllmsaihumans	emailphone	none
samhburns.com ↗	60 match 2 shared topics	Sam Burns \| Data engineer Organizer Brooklyn-based	en	technology-and-computing	robotsllmsaihumans	emailphone	none
lamech.dev ↗	60 match 2 shared topics	Lamech Bob-Manuel \| Data Professional	en	technology-and-computing	robotsllmsaihumans	emailphone	none
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
0xfd.com ↗	60 match 2 shared topics	0xfd – …	en	technology-and-computing WordPress	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.