Piperic
similar sites
‹ profileTools

Sites similar to solutionsmark.com

Mark Ferraz · Operator, founder, builder, thinker, architect, author · ranked by shared content topics & relevance
69match
riseos.com
Sean Grove - Founder, Builder, Hacker
2 shared topicstechnology-and-computing
67match
camthegeek.com
Cam Soper — Solutions Architect & AI Systems Builder
2 shared topicsartificial-intelligence
67match
koleenbp.com
Koleen Baes Paunon — Fullstack Engineer, AI Founder, Web3 Builder
2 shared topicsartificial-intelligence
66match
garybeane.com
Gary Beane - Scientist, Builder, Systems Thinker – Gary Beane
2 shared topicstechnology-and-computing
66match
1mirai.com
One Mirai | AI Intelligence Radar for Builders and Operators
2 shared topicsartificial-intelligence
66match
itskai.com
itskai — Builder, Creator, Maker
2 shared topicstechnology-and-computing
65match
anudeepsri.com
Anudeep Sri Bathina | AI Architect
2 shared topicsartificial-intelligence
65match
diogomartins.com
Diogo Martins | CTO, Builder, Mentor
2 shared topicstechnology-and-computing
65match
itsgg.com
GG | The Architect
2 shared topicsartificial-intelligence
65match
sharansalian.com
Sharan Salian — Engineer, Builder, Educator
2 shared topicstechnology-and-computing
65match
anantasaurabh.com
Ananta Saurabh - Writer, Coder, Thinker
2 shared topicsartificial-intelligence
65match
itsgathin.com
Gathin T | DevRel Lead at 0G - Speaker, Builder, Web3 Advocate
2 shared topicsartificial-intelligence
65match
piyushmakhija.com
Piyush Makhija – AI Architect
2 shared topicsartificial-intelligence
65match
riddhimanrana.com
Riddhiman Rana | Developer, Researcher & Founder
2 shared topicsartificial-intelligence
65match
eshwarkolla.com
Eshwar Kolla — Cofounder & CTO at Alvva | AI/ML Builder
2 shared topicsartificial-intelligence
65match
congfandi.com
Cong Fandi | Digital Architect
2 shared topicsartificial-intelligence
65match
anatoly.com
Anatoly Volkhover: AI Strategist, Tech Exec, Software Architect
2 shared topicsartificial-intelligence
64match
andrewjlavoie.com
Andrew Lavoie — Solutions Engineering Leader & GenAI Architect
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.