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Year/Make/Model fitment search for Shopify. 8 verticals, Smart Parse, and your data in Shopify metaobjects — not a vendor database. Free tier, Pro at $49.

Which is more popular?
Based on our record, Robomonkey seems to be more popular. It has been mentioned 1 time since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | robomonkey.io | normalview.pro |
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| Company | Startup from the United States · 1 - 9 employees · 2025 | Startup from the United States · 1 - 9 employees · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


Robomonkey is an AI-powered Extension Builder, capable of building any Chrome extension you need by chatting with AI. Under the hood, Robomonkey is the new generation of Userscripts managers, such as Tampermonkey and Violentmonkey (over 20 million installs worldwide). Robomonkey allows you to...
ViewForge is a Year Make Model (YMM) parts finder for Shopify. Shoppers pick their vehicle, machine or device from cascading dropdowns and see only the parts that fit. Fitment search works across eight verticals — auto, motorcycle, tractor, marine, power equipment, bicycle, printer and...
What each product offers, as listed by its team.


An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
No analysis of ViewForge yet.
Walkthroughs and reviews on video.
Building a grammarly extension in 2 minutes using AI | robmonkey.io
More videos
ViewForge: YMM Search & Filter
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Robomonkey and ViewForge.
Robomonkey's answer
It is the only AI extension builder out there
ViewForge's answer:
Three things. (1) Data ownership: ViewForge writes fitment as Shopify metaobjects native to your store — most competitors store fitment in their own database. (2) 8 verticals out of the box: auto, motorcycle, tractor, marine, power equipment, bicycle, printer, electronics — most competitors are automotive-only. (3) Smart Parse: extract fitment automatically from your existing product titles and descriptions instead of re-typing everything.
Robomonkey's answer
Robomonkey allows anyone to build browser extensions without programming knowledge
ViewForge's answer:
Data ownership. Fitment lives in your Shopify metaobjects, so uninstalling does not take your compatibility data with it. Convermax, EasySearch and PartFinder all keep it in their own databases, and getting it back depends on their export tooling on the day you cancel.
Cost at the low end. The search widget, the compatibility table on the product page and the saved-vehicle garage are all on the free tier, up to 50 products, with no expiry. EasySearch puts the table and the garage behind its $75/month Premium plan. Convermax starts at $250/month.
Automotive and non-automotive coverage. Eight built-in templates, and fully custom templates from $19/month, for catalogs that do not decompose into Year/Make/Model at all.
Robomonkey's answer
Our users are people who have used browser extensions in the past
ViewForge's answer:
Shopify merchants whose customers need to know whether a part fits before they will buy it — and who do not have an engineer on staff to build that themselves.
Concretely: auto and truck parts retailers, powersports and motorcycle dealers, tractor and agricultural parts sellers, marine and outboard suppliers, small-engine and power equipment stores, bicycle and e-bike component shops, printer supply merchants, and electronics accessory sellers.
Catalog sizes run from a few dozen products on the free tier up into the tens of thousands; it is running in production on a catalog of roughly 40,000 SKUs. The common thread is not the industry — it is that "does this fit my thing" is the question deciding the sale.
Robomonkey's answer
Both founders had a chance at building Chrome extensions in the past and were frustrated by the complexity of the whole process.
ViewForge's answer:
ViewForge came out of agency work. Normal View was building for a parts retailer running roughly 12,000 SKUs who needed fitment search, and every app we evaluated stored the merchant's compatibility data in the vendor's own database.
That is a strange trade when you look at it directly. Fitment data is genuinely expensive to produce — it is weeks of work — and the merchant would not own the result. It would belong to whichever app happened to be installed that year.
Shopify metaobjects made a different answer possible: write fitment as native structured data inside the merchant's own store. The theme reads it, the Storefront API queries it, Admin GraphQL exports it, and it is still there after an uninstall. That decision is what the rest of the app is built around.
Everything else came from real catalogs rather than a roadmap. Eight verticals exist because a tractor catalog is not Year/Make/Model. Smart Parse exists because that retailer had already written fitment into 12,000 product titles, and nobody was ever going to retype them.
Robomonkey's answer
We use the most recent AI models for the coding agent, the extension itself, and our server-side code are written in the latest Typescript standard.
ViewForge's answer:
Share your experience with using Robomonkey and ViewForge. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


I had basically this exact idea too a few months ago and at the time already found a few implementations attempting it. https://robomonkey.io/ being one example I found so didn't pursue it further. Also it turns out llm's are already... - Source: Hacker News / 11 months ago
Tracking ViewForge since Aug 2026.
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