Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to sharpencode.com

ASP.NET MVC tutorial for beginners - sharpencode · ranked by shared content topics & relevance
69match
9xdev.com
Learn Technologies | 9xDev.com
2 shared topicsweb-development
66match
itechtuts.com
Indian's Technology Tutorials
2 shared topicsprogramming-languages
66match
itcodescanner.com
IT Tutorials
2 shared topicsprogramming-languages
66match
cambotutorial.com
CamboTutorial - Free Tutorial & Short Solution for All Programmers
2 shared topicsprogramming-languages
66match
moditech77.com
We provide free online tutorial for computer basics, dbms, internet, html - Moditech77
2 shared topicsweb-development
65match
itsolzone.com
Tutorials Home - ITSolZone
2 shared topicsweb-development
65match
ofajs.com
ofa.js Tutorial
2 shared topicsprogramming-languages
65match
anmarjarjees.com
Anmar Jarjees | .NET & Full-Stack Developer
2 shared topicsweb-development
64match
restapiexample.com
Rest Api Example | Rest api tutorials
2 shared topicsprogramming-languages
64match
1keydata.com
1Keydata - Free Online Programming Tutorials
2 shared topicsprogramming-languages
64match
itsolutionstuff.com
ItSolutionStuff.com | Web Development Tutorials & Solutions - ItSolutionstuff.com
2 shared topicsweb-development
64match
maahedev.com
Home Page | MaaheDev Tutorials
2 shared topicsprogramming-languages
64match
djangocode.com
DjangoCode | Learn build real projects with Python, Django, NextJS, free courses, tutorials & DevOps Guide
2 shared topicsprogramming-languages
63match
angularquiz.com
Angular Quiz and Tutorials – Angular Code Snippets Templates and Quiz
2 shared topicsprogramming-languages
63match
beanbacon.com
Home Page - My ASP.NET Application
2 shared topicsweb-development
63match
callicoder.com
Programming, Web development, System design & Devops Tutorials | CalliCoder
2 shared topicsprogramming-languages
63match
divrhino.com
Div Rhino | Project-based tutorials and articles
2 shared topicsprogramming-languages
63match
planetelixir.com
Planet Elixir | Tips and tutorials for Elixir, the Phoenix Framework, and front-end development.
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.