Piperic
similar sites
‹ profileTools

Sites similar to sourceexploder.com

Source Exploder · ranked by shared content topics & relevance
68match
resourcesdatabase.com
resouRces
2 shared topicstechnology-and-computing
66match
compiler-explorer.com
Compiler Explorer
2 shared topicsprogramming-languages
63match
issuescout.dev
IssueScout - Find Your First Open Source Contribution
2 shared topicstechnology-and-computing
63match
sharafdin.com
Sharafdin Yusuf - Innovator & Open Source
2 shared topicstechnology-and-computing
62match
bberes.com
Botond Beres
2 shared topicstechnology-and-computing
62match
heysainty.com
Hey Sainty - Explore Tech, Creativity, and Innovation
2 shared topicstechnology-and-computing
62match
rgcoding.com
Rob's Data Dump - Exploring old and new digital worlds
2 shared topicstechnology-and-computing
62match
susmilch.com
Bit Twiddling – Exploring Code and Embedded Projects
2 shared topicsprogramming-languages
62match
campfirecoders.com
Campfire Coders
2 shared topicstechnology-and-computing
62match
andrewthecoder.com
Andrew the Coder
2 shared topicsprogramming-languages
62match
conscious-coder.com
The Conscious Coder
2 shared topicsprogramming-languages
62match
kooroshkz.com
Koorosh Komeilizadeh
2 shared topicstechnology-and-computing
62match
modern-developer.com
The Modern Developer
2 shared topicsprogramming-languages
62match
rgauss.com
Mostly Tech – Ray Gauss II – Enterprise Java, Open Source Integration, and the Occasional Rant
2 shared topicstechnology-and-computing
62match
itlessonslearn.com
IT Lessons Learn – Exploring the Digital World in an Easy to Understand Way.
2 shared topicstechnology-and-computing
62match
computechpoint.com
ComputechPoint | Solve Tech Problems, Learn Coding & Explore Emerging Tech - Computechpoint
2 shared topicstechnology-and-computing
61match
iteratedexpectations.com
Iterated Expectations – Damon Bayer
2 shared topicsprogramming-languages
61match
sharpdaddy.com
SharpDaddy | C# Products & How-To's
2 shared topicsprogramming-languages

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.