
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.

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| Website | normalview.pro | gitstreak.com |
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| Platforms | — | |
| Company | Startup from the United States · 1 - 9 employees · 2026 | 2024 |
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In their own words, as submitted to SaaSHub.


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...
Gitstreak is an email reminder service designed to help developers maintain their code contribution streaks by sending daily reminders to sync their code on GitHub.
What each product offers, as listed by its team.


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ViewForge: YMM Search & Filter
GitStreak.com - Keep Your Github Streak Alive
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing ViewForge and GitStreak.
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.
GitStreak's answer:
We don't get in the way. We're only here to support you.
ViewForge's answer
GitStreak's answer:
PHP, TailwindCSS, Javascript
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.
GitStreak's answer:
You only receive an email reminder when you haven't committed for the day, so you can maintain your streak.
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.
GitStreak's answer:
Developers who want to improve their skills by coding daily.
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.
GitStreak's answer:
Ever have that gut-punch moment when you lose a streak?
Yeah, me too.
GitStreak was born from a moment of frustration when I lost my GitHub contribution streak.
Not because I didn’t code, but because I simply forgot to sync.
It was the weekend and without my trusty Deskhub displaying my contribution graph on my office desk, it completely slipped my mind.
While I wouldn’t say I was heartbroken (that’s a bit dramatic), it was definitely a facepalm moment.
As someone who thrives on daily challenges and building new habits, I’ve learned that sometimes we all need a friendly nudge.
That’s exactly what I love about Duolingo — it keeps me accountable with timely reminders.
So I thought, “Why not create the same for fellow developers?”
GitStreak is exactly that: a simple email reminder service that helps you maintain your GitHub streak.
No bells, no whistles — just a friendly ping when you need it.
And the best part?
If you’ve already committed that day, we’ll stay quiet and let you bask in your productivity, keeping your inbox clutter-free.
Share your experience with using ViewForge and GitStreak. For example, how are they different and which one is better?