Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to codecrust.com

Codecrust - Get Your Engineering Skills Baked To Perfection · ranked by shared content topics & relevance
68match
cloudperformancetest.com
The Performance Engineering Blog
2 shared topicsprogramming-languages
68match
iosengineeringpro.com
iOS Engineering Pro
2 shared topicsprogramming-languages
68match
softwareengineeringstandard.com
SES - Software Engineering Standard
2 shared topicstechnology-and-computing
67match
nicedx.com
nicedx — engineering content lab
2 shared topicstechnology-and-computing
67match
softwareengineerings.com
Software Engineerings: Learn, Build, and Innovate | software engineerings
2 shared topicstechnology-and-computing
67match
mattiabandini.com
Mattia Bandini | CS & Engineering Student
2 shared topicstechnology-and-computing
67match
andreaskapsalis.tech
Andreas Kapsalis | Computer Engineering Student
2 shared topicsprogramming-languages
66match
1xengineer.dev
1xEngineer
2 shared topicstechnology-and-computing
66match
docsallover.com
DocsAllOver | Improve Your Skills | Browse Programming Docs
2 shared topicsprogramming-languages
66match
aniketray.me
Aniket Ray | Software Engineer
2 shared topicsprogramming-languages
66match
abhilashps.me
Abhilash PS — Engineering Thought & Software Architecture
2 shared topicstechnology-and-computing
66match
guicommits.com
Gui Commits | Software Engineering
2 shared topicsprogramming-languages
66match
iosifbulgaru.com
Iosif Bulgaru | Software Engineer
2 shared topicstechnology-and-computing
66match
maucoding.com
MauCoding - Tech From Engineer Perspective
2 shared topicsprogramming-languages
66match
aryanmht.com
Aryan Mehta — Software Engineer
2 shared topicstechnology-and-computing
65match
arunrshenoy.com
Arun R Shenoy | Senior Software Engineer
2 shared topicstechnology-and-computing
65match
bondaika.com
Bondaika Blog – Data Engineering, Python, Cloud & More
2 shared topicsprogramming-languages
65match
gregbak.com
Greg Bąk — Senior Software Engineer
2 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.