ShopEyes.top's answer:

ShopEyes came from a simple frustration: researching Shopify stores was too scattered.

You could inspect the source code, use a few browser extensions, check app clues manually, search theme hints, open social links, and keep notes somewhere else. It worked, but it was slow and easy to overinterpret.

I wanted a cleaner first-pass research tool. Something that could take a storefront and turn public signals into a readable snapshot. Not a tool that claims to know private backend data, but one that helps you see the visible pattern faster.

That is why ShopEyes focuses on public storefront signals and organizes apps by business job. The goal is to help people move from “what tools are installed?” to “what does this store seem to be optimizing for?”

ShopEyes.top's answer:

The primary audience is people who research Shopify stores regularly.

That includes Shopify merchants looking at competitors, ecommerce agencies preparing audits or prospect research, Shopify app companies studying store adoption patterns, and growth or retention teams trying to understand how other stores are built.

The common thread is not job title. It is the workflow. These users see a Shopify store and want to quickly understand what is publicly visible: the theme, app signals, social presence, store context, and possible ecommerce workflows behind the storefront.

ShopEyes.top's answer:

ShopEyes is built as a lightweight web product plus a Chrome extension.

The website uses plain HTML, CSS, and JavaScript for the public pages and detector experience. The Chrome extension is built on Chrome Extension Manifest V3, including the side panel workflow, active tab access, scripting, local storage, and tab handling.

The stack is intentionally simple. The product needs to be fast, crawlable, and easy to maintain more than it needs a heavy frontend framework.

ShopEyes.top's answer:

ShopEyes is built around a very practical idea: Shopify research should be fast, structured, and honest about what can be known from public signals.

A lot of tools either give you a raw app list or make the result feel more certain than it really is. We try to do the opposite. ShopEyes reads public storefront signals, then organizes them into something a researcher can actually use: theme clues, visible apps, app categories, social profiles, store context, and examples from public Shopify data.

The Chrome extension is also a big part of the product. You can stay on the storefront you are researching and open ShopEyes in the side panel instead of copying URLs between tools. That sounds small, but for competitor research or agency prospecting it makes the workflow much smoother.

The main difference is that we do not position ShopEyes as a “complete private tech stack spy.” It is a structured signal layer. It helps you form better questions faster.

ShopEyes.top's answer:

I think someone should choose ShopEyes if they want a quick, practical first pass on a Shopify store without turning the research into a huge workflow.

The reason to choose ShopEyes is not that it magically knows everything. It does not. Some Shopify apps are server-side, custom-built, or leave no public fingerprint. But ShopEyes tries to make the visible evidence easier to understand and less messy.

For agencies, merchants, app teams, and ecommerce researchers, that usually matters more than a long unfiltered list.

ShopEyes.top's answer:

We do not publicly list customer names yet.

ShopEyes is still an early product, and many users are individual Shopify operators, agencies, researchers, or app teams who use it for competitor research rather than as a formal enterprise deployment. Until we have explicit permission, I would rather not attach customer names or logos.

The honest answer is that our “biggest customers” today are the people who repeatedly research Shopify storefronts and need a faster way to turn public signals into useful notes.