DepthScout VS ViewForge

DepthScout's answer

Most fishing apps hand you a map and a star rating. DepthScout gives you the depth chart, ranks the spots on that chart for the species you picked, and explains in plain English why each spot grades the way it does. 18,644 of the waters are built from real state and federal agency depth surveys rather than modeled contours, and every chart names its source. Charts that are approximated are labeled as approximated instead of being passed off as measured. The forecast works the same way: every bite score names its inputs, so you can see what the read weighted and disagree with it. Every depth map is free to browse before you pay, so you can inspect your own water first.

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.

DepthScout's answer

Three reasons. First, the bathymetry is honest: 18,644 waters are charted from real state and federal agency depth surveys, and anything modeled is labeled that way on the page, so you always know whether you are looking at measured depth. Second, the free tier is actually useful. Every depth chart, the top prime spot, all good and fair spots, the daily outlook for today and tomorrow, on-water GPS position, and offline maps are free, so you can judge the product on your own water before paying. Third, the reasoning is visible. Each spot and each bite window states why it grades the way it does, so you can argue with it instead of trusting a star rating. Pro is $29 a year with a 7-day trial and a 30-day money-back guarantee.

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.

DepthScout's answer

Anglers deciding where to fish before they make the drive. Mostly freshwater bass, walleye, panfish, pike and trout fishermen across the United States and Canada, with growing coverage in Northern Europe. It fits bank and small-boat anglers scouting an unfamiliar water, and boat and kayak anglers who want ranked spots, an hourly bite window, and GPX waypoints they can load into a chartplotter.

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.

DepthScout's answer

DepthScout started as a side project built around one question that paper lake maps and star-rating apps never answered: on this specific water, where should I fish today? The depth data already existed, scattered across state DNRs, USGS, NOAA and USACE in formats nobody wants to open. DepthScout pulls those surveys together into readable charts, then layers species behavior, structure and current conditions on top so every spot comes with a reason you can read. Two rules held from the start: label the data honestly, survey where it is survey and approximated where it is not, and keep every depth map free so anyone can check their home water before deciding whether the paid read is worth it.

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.

DepthScout's answer

DepthScout is a progressive web app, so it runs in any modern browser on phone, tablet and desktop and installs to the home screen without an app store download. The depth charts are built from public agency bathymetry, mainly state DNR survey soundings plus USGS, NOAA and USACE data. The forecast layer combines weather, water temperature trend, moon phase and solunar periods resolved to the hour. Subscriptions and payments run through Stripe.

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