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Touchdown Labs · AI Transformation, Backed by Full-Stack Infrastructure Optimization — 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 Artificial Intelligence →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
touchdown-ai.com ↗	100 match 2 shared topics	Touchdown Labs · AI Transformation, Backed by Full-Stack Infrastructure Optimization	en	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 8
cryptostack.ai ↗	69 match 2 shared topics	CryptoStack — Infrastructure for Crypto-Native AI Agents	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
topopool.com ↗	69 match 2 shared topics	TOPO Labs \| Cardano Infrastructure, Staking and AI Tooling	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
blackownership.com ↗	68 match 2 shared topics	Black Cultural Infrastructure \| Black Ecosystem	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
sangtra.com ↗	67 match 2 shared topics	Sangtra \| From MVP to AI Transformation	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
block-forest.org ↗	66 match 2 shared topics	Infrastructure for DeFi Intelligence	en	technology-and-computing	robotsllmsaihumans	emailphone	none
impresoft4ward.com ↗	66 match 2 shared topics	Impresoft 4ward: your partner for digital transformation	en	technology-and-computing HubSpot	robotsllmsaihumans	emailphone	none
3c-c-c.com ↗	66 match 2 shared topics	ParTec - Sovereign HPC, AI, and Quantum Infrastructures.	en	artificial-intelligence WordPress	robotsllmsaihumans	email phone	none
feranmiolawale.com ↗	66 match 2 shared topics	Feranmi Olawale — Senior Full-Stack Engineer & AI Architect	en	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 6
aidash.com ↗	66 match 2 shared topics	Together, let’s safeguard our critical infrastructure to secure the future of humanAIty™	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
fermellone.dev ↗	66 match 2 shared topics	Fernando Mellone — Senior Full-Stack Engineer & Applied AI	en	technology-and-computing	robotsllmsaihumans	emailphone	none
thisisroushan.com ↗	66 match 2 shared topics	Roushan - Full-Stack / AI SaaS Engineer	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
imrose.dev ↗	65 match 2 shared topics	Mohammad Taufique Imrose \| Full-stack + AI Engineer	United States~ en	artificial-intelligence	robotsllmsaihumans	emailphone	none
it-medes.eu ↗	65 match 2 shared topics	ITmedes — IT System House for Architecture, AI & Critical Infrastructure	European Union en	artificial-intelligence	robotsllmsaihumans	emailphone	none
coreyscodecave.com ↗	65 match 2 shared topics	Corey's Code Cave — Full-Stack Engineering Archive	en	technology-and-computing	robotsllmsaihumans	emailphone	none
felidev.com ↗	65 match 2 shared topics	Felipe Traina — CTO · Full Stack · AI Systems	Argentina~ en	artificial-intelligence	robotsllmsaihumans	emailphone	none
onpodia.ai ↗	65 match 2 shared topics	Onpodia – The world’s first Human Infrastructure Stack for the Intelligent Age	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
sanelo.dev ↗	65 match 2 shared topics	Sanel Osmanovic - Senior Full-Stack Engineer & AI Specialist	en	artificial-intelligence	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.