Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to amitesh-kumar.com

Amitesh Kumar — AI GTM OS · Fractional CMO · GTM Architect · ranked by shared content topics & relevance
70match
movo-soft.com
Movosoft — Architectural Intervention & Fractional CTO
2 shared topicsartificial-intelligence
70match
movosoft.com
Movosoft — Architectural Intervention & Fractional CTO
2 shared topicsartificial-intelligence
69match
buildwithnimbus.com
Nimbus — Fractional AI Product Studio
2 shared topicsartificial-intelligence
67match
buildspec.ai
BuildSpec - Professional architecture documents
2 shared topicsartificial-intelligence
67match
hoaplanreview.com
HOA Plan Review — AI-Powered Architectural Compliance Software
2 shared topicsartificial-intelligence
66match
avastec.com
Avastec — Software Architecture & AI Consultancy
2 shared topicsartificial-intelligence
66match
automationexperts.tech
Krishna Rana | Systems Architect
2 shared topicsartificial-intelligence
66match
adgeny.app
Adgeny — AI Social Media OS
2 shared topicsartificial-intelligence
66match
hoandrade.dev
Hugo Oliveira de Andrade — AI Engineer
2 shared topicsartificial-intelligence
66match
agentorientedarchitecture.dev
Agent Oriented Architecture
2 shared topicsartificial-intelligence
66match
simurghai.com
Simurgh AI - AI-Powered Architecture Decision Support
2 shared topicsartificial-intelligence
66match
pagebrooks.com
Page Brooks - Senior Software Architect
2 shared topicsartificial-intelligence
65match
autonestlabs.com
AutoNest Labs — AI Apps, Automations & Custom Systems
2 shared topicssoftware-and-applications
65match
skybringup.com
The Sky Bringup — AI Tools & Apps
2 shared topicsartificial-intelligence
65match
hmvsoft.com
HMVSoft AI Labs — AI-Powered SaaS Development
2 shared topicssoftware-and-applications
65match
rebotinex.com
Rebotinex | SaaS MVP Development & Custom SaaS Architecture
2 shared topicsartificial-intelligence
65match
slackbot.ai
SlackBot.ai — AI Bots & Automation for Slack
2 shared topicsartificial-intelligence
65match
tetracorehq.com
TetraCore — AI Software, Solutions, Systems & Security
2 shared topicssoftware-and-applications

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.