We are preparing TrendHub for launch and working on a difficult product-design question: an AI can rank products from a natural-language request, but a ranked list alone is not enough to earn trust.
Which evidence matters most before you act on a recommendation?
a clear explanation of why each item matches the request
transparent source and price information
Hi Product Hunt! We built TrendHub because product discovery is split across AI chat, social content, forums and storefronts. TrendHub brings those signals together: describe what you need in text, check community context and product trends, then continue to independent stores. Sellers can create a no-code storefront, start with a free Founding option, and TrendHub charges 0% sales commission. We also use ticket-based workflows for disputed situations. Wildberries is not a source for our public feed; it is used only to match already discovered products and check alternatives. We would value candid feedback on the discovery flow and the balance between AI recommendations and community evidence.