Find your next winning product & ad
Every winning store starts with the right product and the right ad. WinningHunter shows you the ones already selling, and how crowded each one is.

Find products with proven demand.
Proven products cut your testing costs. Find the products stores keep advertising, with presets like US Winners and Dropship Ads, or by niche, country, and days running
Find products that aren't crowded yet.
Less competition keeps your ad spend working. Upload a product photo or search by keyword to see every store selling it, and skip the products that are already crowded.


Find the stores making money with your product.
Real numbers cut your guesswork. Open the store behind any ad to see its estimated revenue, traffic, and best sellers, then decide if the product is worth testing.
Find products on TikTok Shop before they hit Meta.
Get in before the competition does. See the products whose sales are growing on TikTok Shop and the videos selling them, then bring both to your Meta ads.

What is WinningHunter?
WinningHunter brings Meta, TikTok and Pinterest ad libraries together with store, brand and TikTok Shop intelligence in one workspace.
Where does the data come from and how accurate is it?
Our data reflects what’s live in the market right now — ads currently running and stores currently selling. Because ecom moves fast, we update continuously instead of reporting all-time metrics, so what you see is what’s actually working today.
Can I start for free?
Yes. Start analysing for free, then choose the plan that fits your research depth and the number of brands, stores or ads you need to track.
Which channels and platforms do you cover?
WinningHunter covers ads from Meta, TikTok and Pinterest, plus the stores, landing pages and TikTok Shop products behind them.
Can I change my plan anytime?
Yes. You can upgrade, downgrade or cancel your plan at any time.
How does the Claude / AI integration work?
Connect WinningHunter to Claude through our MCP server. Every ad, store and competitor in your research stack becomes a conversation.























