Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to abhimvp.dev

Abhishek Reddy Boddu | Python Backend & Applied AI Engineer · ranked by shared content topics & relevance
71match
aadarshsonkamble.dev
Aadarsh Sonkamble | Backend & AI Systems Engineer
2 shared topicsartificial-intelligence
71match
ashishsinghal.dev
Ashish Singhal — AI & Backend Engineer
2 shared topicsartificial-intelligence
70match
alexlaguardia.dev
Alex LaGuardia | AI / Backend Engineer
2 shared topicsartificial-intelligence
70match
abhishekshekhar.com
Abhishek Shekhar — Systems Administrator & Applied AI Researcher
2 shared topicsartificial-intelligence
69match
fateless.dev
Aditya Singh | AI Engineer & Backend Architect
2 shared topicsartificial-intelligence
69match
bhargavkacharla.com
Bhargav Kacharla — Backend Engineer & AI Systems
2 shared topicsartificial-intelligence
69match
fedealmendra.com
Federico Almendra · Backend & Platform Engineer
2 shared topicsartificial-intelligence
68match
ankr.me
Ankit Kumar - Full Stack Engineer | AI Backend | LLM & Agentic Systems
2 shared topicsartificial-intelligence
68match
arjavjain.dev
Arjav Jain | AI Engineer & Full Stack Developer
2 shared topicsartificial-intelligence
68match
armandocode.com
Freddy Suarez | Senior QA Automation & AI Testing Engineer
2 shared topicstechnology-and-computing
68match
pimentadev.com
JFP | Architecture & AI Engineering
2 shared topicsartificial-intelligence
68match
alejandrok.me
Alejandro Krasovsky // Full-Stack & AI Engineer
2 shared topicsartificial-intelligence
68match
alejandrokrasovsky.com
Alejandro Krasovsky // Full-Stack & AI Engineer
2 shared topicsartificial-intelligence
68match
abdulmoiz.tech
Abdul Moiz — Full-Stack + AI Engineer
2 shared topicsartificial-intelligence
68match
berato.tech
Berato | Senior AI Engineer
2 shared topicsartificial-intelligence
68match
ariccamarata.com
Aric Camarata — Principal AI Engineer
2 shared topicsartificial-intelligence
68match
arpansethi.com
Arpan Sethi - AI Engineer
2 shared topicsartificial-intelligence
68match
ashpathak.dev
Ashutosh Pathak — AI Engineer
2 shared topicsartificial-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.