Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to phdiari.com

PhDiari — Academic Journal of Research & Code · ranked by shared content topics & relevance
69match
holmgrenlabs.com
Holmgren Labs — Research & Engineering
1 shared topicstechnology-and-computing
68match
corselloresearch.com
Corsello Research
1 shared topicstechnology-and-computing
68match
funsooje.dev
Funso — Build. Research. Impact.
1 shared topicstechnology-and-computing
67match
adamburkeware.net
Adam Burke’s Software Notes | Notes on software and research.
1 shared topicstechnology-and-computing
67match
fromusers.com
fromusers — The pragmatic research tool
1 shared topicstechnology-and-computing
66match
andrewrosenblum.com
Emerging technologies journalist, fact-checker, and researcher | Andrew Rosenblum
1 shared topicstechnology-and-computing
66match
reddeertechandcode.com
Red Deer Tech & Code
1 shared topicstechnology-and-computing
66match
mouslimcherkaoui.com
Mouslim Cherkaoui — UX Research Portfolio
1 shared topicstechnology-and-computing
66match
refineresearch.com
Home - ReFineResearch
1 shared topicstechnology-and-computing
66match
ecosystemaction.com
Ecosystem Action Research
1 shared topicstechnology-and-computing
66match
eddgent.com
Edd Gent | Journalist
1 shared topicstechnology-and-computing
66match
austinrward.com
Austin R. Ward | HCI Researcher
1 shared topicstechnology-and-computing
66match
mukenshi.com
Mukenshi - Engineer, researcher, builder — wherever the problem leads.
1 shared topicstechnology-and-computing
66match
adanewmedia.org
Ada: a Journal of Gender, New Media & Technology – Historic reference
1 shared topicstechnology-and-computing
66match
mpflynngroup.com
FLYNN RESEARCH GROUP - Home
1 shared topicstechnology-and-computing
66match
lorenzobaronio.com
Code & Cables By Lorenzo
1 shared topicstechnology-and-computing
66match
bullseyefoundation.org
Bullseye Foundation - The Open Research Framework
1 shared topicstechnology-and-computing
65match
acsij.org
Advances in Computer Science : an International Journal
1 shared topicstechnology-and-computing

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.