FyndRadar

Great second-hand deals disappear in minutes, and a listing's true value is buried across dozens of comparable sales. Checking several marketplaces by hand is slow and easy to miss.

One radar that continuously scans marketplaces and auctions, estimates a fair value for each item, and only surfaces the listings priced clearly below it.

I owned the product end to end, the concept, the value-check logic, the feed structure, and the AI prompts that classify and price each listing.

• Values come only from real final prices on Tradera and Auctionet, what things actually sold for, never what sellers hoped for. Asking prices are excluded on purpose.
• A valuation needs at least three real sold comparables behind it. Below that the product says the basis is missing instead of showing a number.
• A listing is only flagged as a find when it sits at least 40 percent under what comparable items actually sold for.
• When the comparables cover several variants, the result is shown as a range rather than an average that cannot be substantiated.
• Reference bars in the market view each rest on at least 100 sold items, so the baseline is a real distribution and not a handful of outliers.
• The rule the whole thing is built on: it does not guess. If the evidence is thin it says so, and shows the user the underlying listings to judge for themselves.

• Mapped what a 'real find' looks like and when an alert is actually worth sending.
• Designed the core surfaces: Radar, Auctions, Value-check and My finds.
• Built the valuation rules on real sold prices, with a minimum evidence bar before any number is shown.
• Built a clean feed where the strongest finds rise to the top.

• Rank by deal strength, not just keywords, quality over volume.
• A dedicated value-check so the price estimate is always one tap away.
• Keep the human in the loop: the radar recommends, the user decides.

• Trustworthy pricing is the whole product, one wrong estimate breaks confidence.
• Fewer, higher-confidence alerts beat a noisy firehose.

• Saved searches and category-specific value models.
• Push/email alerts with a confidence score.

Resellers and bargain hunters are a motivated, recurring audience. Clear path to freemium (limited alerts) and pro (more categories, faster refresh, analytics).