Piperic Business Intelligence
similar sites
‹ profile

Sites similar to itxusir.com

Huiyangxu's IT Blog - Learn IT skills · ranked by category · tech stack · backlink co-citation
42match
holmhq.com
Holm — sovereign compute in one binary and one database
1 co-citations1 shared tech1 shared categorysoftware-and-applications
40match
jamessyu.com
James's Blog
2 co-citations2 shared tech0 shared categoryprogramming-languages
39match
mangadb-ph.com
MangaDB - A lightweight NoSQL database
1 co-citations1 shared tech1 shared categorydatabases
39match
kennethnw.com
Kenneth Wu | Portfolio
1 co-citations1 shared tech1 shared categorydatabases
39match
brendondata.com
Brendon Phillips - Data Scientist
1 co-citations1 shared tech1 shared categorydatabases
38match
filedog.app
Filedog
2 co-citations2 shared tech0 shared categoryinformation-and-network-security
37match
banrai.com
Banrai :: Simple Graph Database and Document Store
1 co-citations1 shared tech1 shared categorydatabases
36match
manojkanturi.com
Manoj K | Data Engineer
1 co-citations1 shared tech1 shared categorydatabases
36match
jiliuke.com
Jiliuke
2 co-citations1 shared tech1 shared categorydatabases
35match
jiaxuanchen.com
Jiaxuan Chen
3 co-citations2 shared tech0 shared categoryartificial-intelligence
35match
hexograms.com
Hexograms • Manager v3d (Rectangular Hero + Legal)
0 co-citations1 shared tech1 shared categorydatabases
35match
4tops.com
4TOPS document creation
0 co-citations1 shared tech1 shared categorysoftware-and-applications
35match
brandgacor.com
Domain Index Checker
0 co-citations1 shared tech1 shared categorysearch
35match
coredatax.com
Core Data eXchange
0 co-citations1 shared tech1 shared categorydatabases
34match
maludb.com
MaluDB | Backend as a Service for Memory-Native AI Apps
1 co-citations1 shared tech1 shared categorydatabases
34match
baltodatatool.com
Balto
1 co-citations1 shared tech1 shared categorydatabases
34match
bpfquery.com
bpfquery
1 co-citations1 shared tech1 shared categorydatabases
33match
jiarui-li.com
Jiarui Li
2 co-citations1 shared tech0 shared categoryartificial-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.