Enthusiast buyers, precise filters
Rugged phones, RC cars, projectors, power stations, and gaming consoles have almost nothing in common as products, but the buyers share a pattern: they already know roughly what they want and expect to filter down to it fast, by brand and by spec, rather than browse a generic catalog hoping to stumble on the right listing.
Six categories, one consistent filtering experience
Rather than build category-specific filter logic five separate times, filtering was built as one system driven by each category's own attribute set - brand, price band, and category-specific specs - so every section of the store behaves the same way even though the underlying products don't overlap at all. Keeping that fast at real catalog size is its own problem, covered in the linked guide.
Mobile-first because that's where the buyers are
Enthusiast shoppers research and compare specs heavily on mobile, often mid-comparison across multiple browser tabs or apps - filter state, scroll position, and selected comparisons needed to survive that kind of fragmented, interrupted session rather than assuming one continuous desktop visit.
- Multi-facet filtering by category, brand, and spec, sharing one system across all six categories.
- Mobile-first layout tuned for quick comparison rather than long-form browsing.
- Fast filter response even when several facets are stacked at once.
Generic storefronts treat filtering as a convenience. For a niche-gadget buyer who already knows what they want, it's the entire product.
The result is a focused storefront where discovery stays effortless across five very different product categories, turning specific intent into a confident purchase instead of an abandoned search.
