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David Vazquez — AI Engineer & Fullstack Developer | Guadalajara — 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
webthemez.com ↗	60 match shared topic	100+ Free Animated Website Prompts, Hero Sections & Source Code \| Webthemez	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
dessign.net ↗	60 match shared topic	Dessign - AI Tools & Software - Designers, Developers & Marketers	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
prompts.ai ↗	60 match shared topic	[prompts.ai] \| Generative AI Tools for Enterprise Prompt Engineering	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
kiro.dev ↗	60 match shared topic	Kiro: Move beyond AI coding to agentic engineering	en	artificial-intelligence	robots llmsaihumans	emailphone	none
wandb.ai ↗	60 match shared topic	Weights & Biases: The AI developer platform	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
wearedevelopers.com ↗	60 match shared topic	WeAreDevelopers \| Learn faster. Build smarter. Lead with AI.	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
evilmartians.com ↗	60 match shared topic	Evil Martians — product development consultancy for developer tools	en	artificial-intelligence Gatsby	robots llmsaihumans	emailphone	none
roboflow.com ↗	60 match shared topic	Roboflow: Computer vision tools for developers and enterprises	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
textprompt.ai ↗	60 match shared topic	The Leading Domain Collections for Text-to-AI Prompt Engineering	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	partial · 8
teamextension.ai ↗	60 match shared topic	AI Engineering Teams, Ready in 72 Hours \| Team Extension®	en	artificial-intelligence Contao	robotsllmsaihumans	emailphone	none
sebastianraschka.com ↗	60 match shared topic	Sebastian Raschka, LLM Research Engineer \| Sebastian Raschka, PhD	en	artificial-intelligence	robots llmsaihumans	emailphone	none
fulcrum.rocks ↗	60 match shared topic	Fulcrum Rocks — AI-Powered Product Engineering · MVP Development Company	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
indieai.directory ↗	60 match shared topic	IndieAI - Discover the Best AI Tools Built by Indie Developers \| IndieAI	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
mediatekpr.com ↗	60 match shared topic	AI Engineering & Data Analytics \| Mediatek Puerto Rico	en	artificial-intelligence WordPress WooCommerce	robotsllmsaihumans	email phone	none
allerin.com ↗	60 match shared topic	AI Engineering Services for Enterprise Teams \| Allerin	United States~ en	artificial-intelligence	robotsllmsaihumans	email phone	none
persistent.com ↗	60 match shared topic	Re(AI)magining the World: AI & Digital Engineering with Persistent	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
griddynamics.com ↗	60 match shared topic	AI Services Engineered for Enterprise \| Grid Dynamics	en	artificial-intelligence WordPress	robots llmsaihumans	emailphone	none
ciklum.com ↗	60 match shared topic	Ciklum \| AI-Powered Experience Engineering for the Digital Enterprise	en	artificial-intelligence 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.