Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to p9source.com

P9Source — Systems. Legacy. Source Code. | Greg Scott Kirk · ranked by shared content topics & relevance
68match
akro.me
Ahmed — Systems Engineer
2 shared topicstechnology-and-computing
67match
hmake.dev
Harsh Makwana — AI-Augmented Systems Engineer
2 shared topicsartificial-intelligence
67match
mr-holdem.com
Alexander Furmanov — Systems Engineer · Founder of Rhizome Lab
2 shared topicsartificial-intelligence
66match
agentengineering.io
AgentEngineering — The Authority on AI Agent Systems
2 shared topicsartificial-intelligence
66match
eitozx.com
Eito (/eitozx) | Backend & AI Systems Engineer
2 shared topicsartificial-intelligence
66match
abhishekshekhar.com
Abhishek Shekhar — Systems Administrator & Applied AI Researcher
2 shared topicsartificial-intelligence
66match
bryanadiaz.com
Bryan Diaz | Senior Full Stack Engineer · AI Systems
2 shared topicsartificial-intelligence
66match
lucholabs.dev
Luis Alberto Duarte Cortés — AI Systems & Automation Engineer | lucholabs.dev
2 shared topicsartificial-intelligence
66match
mssong.com
Minseok Song - Microsoft AI MVP and AI systems builder
2 shared topicsartificial-intelligence
66match
buildgrowthx.com
GrowthOS — A System of Growth | GrowthX
2 shared topicstechnology-and-computing
66match
juanmackie.com
Juan Mackie — Builder, Writer & Systems Thinker
2 shared topicsartificial-intelligence
66match
alexscott.io
Alex Scott
2 shared topicstechnology-and-computing
66match
ebgroup-ks.com
Pentza Labs | Intelligent Digital Systems
2 shared topicsartificial-intelligence
65match
juglu.com
KYFEX - AI Systems That Ship, Scale, and Last
2 shared topicsartificial-intelligence
65match
adamscottryals.com
A. Scott Ryals | Portfolio
2 shared topicsartificial-intelligence
65match
atere.dev
Emmanuel Atere — AI Systems Engineer
2 shared topicsartificial-intelligence
65match
juxhin.com
Juxhin Radhima — AI Tools, Models & Open-Source Resources
2 shared topicsartificial-intelligence
65match
recogni.com
Tensordyne — Official Site for Next-Generation AI Inference Systems
2 shared topicsartificial-intelligence

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:

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.