Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to kubeworkz.io

Welcome | Legible Docs · ranked by shared content topics & relevance
71match
alaw.dev
Welcome | Adrian Law
2 shared topicstechnology-and-computing
70match
theprdcourse.com
Welcome | The PRD Show
2 shared topicsartificial-intelligence
70match
kunnic.com
Welcome — Kunnic
2 shared topicsartificial-intelligence
70match
arnoldkokoroko.com
Welcome | Arnold Kokoroko
2 shared topicstechnology-and-computing
69match
beyondshunya.com
Welcome
2 shared topicstechnology-and-computing
69match
ariful-haque.com
Welcome | Ariful Haque
2 shared topicsartificial-intelligence
69match
thevibecodefix.com
Welcome | The Vibe Code Fix
2 shared topicsartificial-intelligence
67match
djorgs.com
Home | Grav
2 shared topicsartificial-intelligence
67match
socialcast.ai
Welcome to socialcast.ai
2 shared topicsartificial-intelligence
67match
kusamaxi.com
Home | kusamaxi
2 shared topicsartificial-intelligence
66match
ferhatatagun.com
Home | Ferhat Atagün
2 shared topicstechnology-and-computing
66match
abrarsheikh.dev
Welcome to My Blog – blog
2 shared topicsartificial-intelligence
66match
intelligibberish.com
Home | Intelligibberish
2 shared topicsartificial-intelligence
66match
thesignalsai.com
Home | The Signals AI
2 shared topicsartificial-intelligence
66match
agentdiscuss.com
Home | AgentDiscuss
2 shared topicsartificial-intelligence
66match
agent-harness.tech
Home | Agent Harness
2 shared topicsartificial-intelligence
66match
agent-harness.org
Home | Agent Harness
2 shared topicsartificial-intelligence
66match
agent-harness.io
Home | Agent Harness
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.