ViewForge VS Vectora.one

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.

Vectora.one's answer:

Vectora is built around one principle: understanding through manipulation. Unlike traditional e-learning platforms that deliver content through video lectures or text, every resource on Vectora is an interactive simulation where students directly control variables and observe real-time results. We combine academic credibility with a modern software experience — the interface feels like a professional tool, not a children's app. We also offer full bilingual support (English and Chinese) across both UI and educational content, serving students globally with localized experiences rather than simple translations.

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.

Vectora.one's answer:

Most STEM learning tools fall into two camps: free but outdated (like PhET), or enterprise-priced and inaccessible to individual students (like Labster). Vectora sits in the middle — a modern, beautifully designed platform at an affordable price point ($10/mo). Our simulations are built with Three.js and React, delivering smooth 3D visualizations that run in any browser with no downloads or plugins. We cover Chemistry, Physics, Math, and Biology in a single platform, while competitors typically specialize in one subject. And our founding price lock means early adopters keep their rate forever, even as we add more resources.

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.

Vectora.one's answer:

Students aged 15–20 studying STEM subjects at the upper-secondary and early undergraduate level — think GCSE, A-Level, AP, and first-year university courses. They're comfortable with technology and want to genuinely understand concepts, not just memorize formulas. Our secondary audience is educators — high school teachers, tutors, and lecturers who use Vectora's simulations as interactive classroom demonstration tools during lessons.

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.

Vectora.one's answer:

Vectora started from a frustration with how STEM is taught. Too many students struggle with abstract concepts in Physics and Chemistry because they can only see static diagrams in textbooks. We believed that if students could actually touch and manipulate these concepts — rotate a molecule, adjust the wavelength of a wave, drag a vector — they would build real intuition. The name comes from "Vector," reflecting the precision and directionality of STEM thinking. We launched as a solo-developer project, focusing on depth and quality over quantity, and grew organically through YouTube and TikTok educational content that drives students to the platform.

ViewForge's answer

• TypeScript
• Shopify metaobjects, as the fitment data store
• Shopify theme app extensions for the storefront components: fitment search, saved-vehicle garage, compatibility table, product-page fit notice
• Shopify Storefront API, for querying fitment from the theme
• Shopify Admin GraphQL API, for writing and exporting fitment records
• NHTSA vehicle database, for VIN decoding
• ACES and PIES XML parsing, for automotive catalog import

Vectora.one's answer:

• Next.js 16 (App Router) with React 19
• Three.js with React Three Fiber for 3D visualizations
• TypeScript
• Tailwind CSS v4 with shadcn/ui components
• Cloudflare D1
• Stripe and Paddle for payments
• Framer Motion for animations
• KaTeX for mathematical notation rendering
• Cloudflare Workers for deployment and edge delivery
• next-intl for internationalization

Vectora.one's answer:

• Individual STEM students preparing for GCSE, A-Level, and AP exams
• High school science and math teachers using simulations for classroom demonstrations
• Private tutors supplementing their lessons with interactive visual aids
• University teaching assistants looking for supplementary lab resources
• Self-learners exploring STEM concepts independently