
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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Tftactics.gg
Free browser extension that scouts your FACEIT CS2 opponents inside the match room, using their public demos and match history.

Website, pricing, platforms and company facts side by side.
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| Website | normalview.pro | prefirecs.com |
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| Company | Startup from the United States · 1 - 9 employees · 2026 | 2026 |
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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...
Prefire is a free browser extension that prepares you for a FACEIT Counter-Strike 2 match before it starts. When the match room opens, Prefire pulls each opponent's public match history and demos, then shows it where you actually need it: last-30 stats, recent form, account age, country, team...
What each product offers, as listed by its team.


Walkthroughs and reviews on video.
ViewForge: YMM Search & Filter
No FACEIT Prefire videos yet. You could help us improve this page by suggesting one.
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing ViewForge and FACEIT Prefire.
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.
FACEIT Prefire's answer:
Most FACEIT tools tell you how good your opponent is. Prefire tells you how they play.
When the match room loads, Prefire pulls each opponent's public demos and replays their past rounds on an interactive tactical map: the paths they actually walked, the grenades they actually threw with full trajectories, a timeline you can scrub, and CT/T heatmaps of where they hold and where they take opening duels.
Two things make that unusual:
It is free, it reads only finished public matches, and it never touches the game client.
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.
FACEIT Prefire's answer:
Prefire does a different job than most of the tools it sits next to:
The short version: if you want prematch scouting without a subscription and without a five step routine before every game, that is the gap Prefire fills.
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.
FACEIT Prefire's answer:
Competitive Counter-Strike 2 players on FACEIT who care about winning the match, not just tracking their rating.
In practice that means:
The interface is available in English and Russian. Demo based features currently cover Mirage, while stats, form, bans and team ELO work on every map.
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.
FACEIT Prefire's answer:
Prefire started as a tool I built for myself.
Professional teams prepare for opponents by watching their demos. Everyone else queues blind, loses to the same off-angle three times in a row, and calls it bad luck. The gap is not skill, it is preparation time.
So I wrote a parser that pulled public FACEIT demos and drew where players had actually been standing. It was a local script before it was anything else. The useful part turned out not to be the statistics but the picture: once you see five rounds of someone's movement on a map, the pattern is obvious in seconds.
That became a browser extension so the picture appears where the decision gets made, in the match room itself. It went public on the Chrome Web Store in August 2026 and is in open beta now: free, no paid tier, source on GitHub, map coverage expanding from Mirage outward.
Prefire is developed independently and is not officially endorsed by or affiliated with FACEIT.
ViewForge's answer
FACEIT Prefire's answer:
Extension (browser) - TypeScript 5.7 on Manifest V3 - Vite 6 with @crxjs/vite-plugin for the build - No UI framework. The only runtime dependency is @sentry/browser, so the extension injects a minimal bundle into faceit.com rather than a framework - Canvas based tactical replay player, embedded as a reusable iframe - Vitest with happy-dom for the test suite
Backend (API and analysis) - Python 3.12 with FastAPI and Uvicorn - PostgreSQL through SQLAlchemy 2.0 and psycopg3, migrations via Alembic - Pydantic v2 for validation, slowapi for rate limiting, cachetools for the hot public paths - awpy 2.x with zstandard for demo parsing, numpy for the positional maths - httpx and Playwright for data collection
Infrastructure - Docker multi stage builds on a VPS behind Caddy for TLS - PostgreSQL backups with pgBackRest, point in time recovery tested with a restore drill - Static landing page on Cloudflare Pages - Sentry on both sides, plus a separate telemetry service
Quality - ruff, black and mypy in the toolchain, pip-audit on dependencies
FACEIT Prefire's answer:
Prefire is in free open app and has no commercial customers yet. It is used by individual FACEIT Counter-Strike 2 players and by a few small teams and mixes preparing for their own matches.
Share your experience with using ViewForge and FACEIT Prefire. For example, how are they different and which one is better?