Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to ukrishn.com

Udaya Krishna Karanam | Iowa State University MSIS · ranked by shared content topics & relevance
65match
fardatalab.org
FDL - Far Data Lab at University of Toronto
1 shared topicsdatabases
64match
1bench.dev
1bench | Universal Database GUI Client
1 shared topicsdatabases
64match
kvatch.com
Kvatch - Universal Data Source Federation
1 shared topicsdatabases
63match
iovanic.com
Ivan García — Data Engineer
1 shared topicsdatabases
63match
bennit.dev
BENNIT Solutions | Data Engineering & Database Architecture
1 shared topicsdatabases
63match
arrowdatatech.com
Arrow Data Tech - Data Processing & Conversion Services | Puducherry, India
1 shared topicsdatabases
63match
alexspigler.dev
Alex Spigler — Statistics & Computer Science
1 shared topicsdatabases
63match
matosbi.dev
Manuel J. Matos Jr | Data & BI Portfolio
1 shared topicsdatabases
63match
ahmedelsaba.app
Ahmed Elsaba | Data Engineer Portfolio - Cairo, Egypt
1 shared topicsdatabases
63match
arjunloya.com
Arjun Loya | Data & BI
1 shared topicsdatabases
63match
kristinaaggas.com
Kristina Aggas – Data Analysis Portfolio | Kristina Aggas – Data Analysis Projects
1 shared topicsdatabases
63match
rohitlabs.dev
Rohit Kumar | Data Analyst Portfolio
1 shared topicsdatabases
63match
bigdatacompany.co.uk 🇬🇧
BigData Company | Enterprise Data Architecture & High-Performance Web Development
1 shared topicsdatabases
63match
thekangaroofactory.com
Philippe PERET | TheKangarooFactory
1 shared topicsdatabases
62match
fastflowtransform.com
FastFlowTransform – SQL & Python data transformation framework
1 shared topicsdatabases
62match
maxnwosu.com
Maximilian Nwosu | Data Scientist | Data Analyst | SQL, R, Python, Power BI, Shiny, Tableau
1 shared topicsdatabases
62match
dojotechnology.com
Dojo Technology: Computer and Database Forensic Services A Washington State Corporation.
1 shared topicsdatabases
62match
ipranjal-patel.com
Pranjal Patel - Business Data Analyst | Data Science Expert in Iselin, NJ
1 shared topicsdatabases

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.