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Omi Developer - Apps, Reviews and Tutorials by Ethan Kawough — 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
dontfollowpat.com ↗	65 match 3 shared topics	Patrick Francis \| DontFollowPat \| TrapPat - Entrepreneur, App Developer & Author	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
gitclear.com ↗	65 match 3 shared topics	Measure AI ROI with Research-Backed Developer Productivity Metrics - GitClear	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
buildcodemetrics.com ↗	64 match 3 shared topics	Git Analytics and Reporting Tools for Development Teams \| Codemetrics	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
247digitrend.com ↗	64 match 3 shared topics	Compare247 – Compare & Review Digital Tools \| Unbiased SaaS & AI Reviews	en	software-and-applications	robotsllmsaihumans	emailphone	none
mechanicaldrake.com ↗	63 match 3 shared topics	Mechanical Drake — Pentesting for Apps, APIs & AI Systems	en	technology-and-computing	robotsllmsaihumans	emailphone	none
daeda.tech ↗	63 match 3 shared topics	Daeda Tech - AI for HubSpot Revops	Singapore~ en	artificial-intelligence	robots llmsaihumans	emailphone	none
deckfactory.net ↗	63 match 3 shared topics	Deck \| Design and Deploy Computer Use Agents	Canada~ en	software-and-applications	robotsllmsaihumans	emailphone	none
deckworks.live ↗	63 match 3 shared topics	Deck \| Design and Deploy Computer Use Agents	en	software-and-applications	robotsllmsaihumans	emailphone	none
brubyte.com ↗	63 match 3 shared topics	Brubyte — Custom Software Development \| AI, Blockchain & Fintech Engineering	India~ en	software-and-applications	robotsllmsaihumans	email phone	none
heredeck.com ↗	63 match 3 shared topics	Deck \| Design and Deploy Computer Use Agents	Canada~ en	software-and-applications	robotsllmsaihumans	emailphone	none
heydeckai.com ↗	63 match 3 shared topics	Deck \| Design and Deploy Computer Use Agents	Canada~ en	software-and-applications	robots llmsaihumans	emailphone	none
ollyhq.com ↗	63 match 3 shared topics	Olly \| AI Native Observability Agent for Real Time Monitoring and Insights	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
bubbleapp.com ↗	62 match 3 shared topics	Build Your App Without Engineers — No-Code, AI Builders & Coding Agents Compared \| BubbleApp	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
reqase.com ↗	62 match 3 shared topics	Reqase \| AI-powered Requirements and Test Management for Jira	en	software-and-applications	robotsllmsaihumans	emailphone	none
buildautomaton.com ↗	62 match 3 shared topics	BuildAutomaton - Visibility and continuity for agent sessions	en	technology-and-computing	robotsllmsaihumans	emailphone	none
3codemonkeys.com ↗	62 match 3 shared topics	3 Code Monkeys \| Built for Humans, Native for AI Agents, Ready for Bots	en	technology-and-computing	robotsllmsaihumans	emailphone	partial · 8
heyoxygenagent.com ↗	62 match 3 shared topics	Oxygen — GTM CLI for Claude Code, Codex & MCP agents	en	technology-and-computing	robotsllmsaihumans	emailphone	none
srclogic.com ↗	62 match 3 shared topics	srcLogic \| Low-Code Experts	en	software-and-applications HubSpot	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.