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Estimaly
AI radar for the best deals on the secondhand market
Estimaly is an AI-powered scanner for online listings and secondhand markets that tells resellers, in seconds, if a deal is truly profitable. It recognizes products from photos or screenshots, uses real local sales data instead of generic global prices, and calculates market value, net margin, ROI, demand, risk, and more. This means you can flip faster, avoid bad buys, and focus only on deals that are financially worth it.
I built this because many resellers I know (me included) struggle with secondhand deals: checking screenshots, mixing eBay sold items with random global prices, and only realizing a “bad buy” after it’s too late. In 2026 it felt crazy to still rely only on gut feeling, without a clear, local, data‑backed view of the deal.
What Estimaly does:
Turns a photo or screenshot (Vinted, Subito, Wallapop, eBay, etc.) into a full market analysis in seconds
Uses real local sold data instead of misleading global averages
Estimates market value, net margin, ROI, demand, competition, risk, and sell‑through time
Flags suspicious listings and unstable markets so you can avoid traps
Who it’s for:
Resellers and flippers who want to scale beyond “gut feeling”
Side hustlers who don’t have time to manually check every comp
Pros who care about margin, velocity, and risk on every single deal
Why it’s different:
100% focused on secondhand and local markets
Built around profitability (net margin, STR, daily profit), not vanity “price estimates”
Designed to be invisible in your workflow: scan → decision → move on
To celebrate the launch, you can start with 10 free analyses and a 50% discount on paid plans.
I’d love your feedback:
What data would you want to see before buying a used item?
Which marketplaces do you flip on the most?
I’ll be here all day replying to questions, ideas, and roast‑level critiques 🔍
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About Estimaly on Product Hunt
“AI radar for the best deals on the secondhand market”
Estimaly was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #66 on the daily leaderboard. Estimaly is an AI-powered scanner for online listings and secondhand markets that tells resellers, in seconds, if a deal is truly profitable. It recognizes products from photos or screenshots, uses real local sales data instead of generic global prices, and calculates market value, net margin, ROI, demand, risk, and more. This means you can flip faster, avoid bad buys, and focus only on deals that are financially worth it.
Estimaly was featured in Analytics (171.5k followers), SaaS (41.6k followers) and Artificial Intelligence (466.4k followers) on Product Hunt. Together, these topics include over 141.6k products, making this a competitive space to launch in.
Who hunted Estimaly?
Estimaly was hunted by Edoardo. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Estimaly stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Edoardo
Hey Product Hunt 🏴☠️
I’m Edoardo, solo maker of Estimaly from Italy.
I built this because many resellers I know (me included) struggle with secondhand deals: checking screenshots, mixing eBay sold items with random global prices, and only realizing a “bad buy” after it’s too late. In 2026 it felt crazy to still rely only on gut feeling, without a clear, local, data‑backed view of the deal.
What Estimaly does:
Turns a photo or screenshot (Vinted, Subito, Wallapop, eBay, etc.) into a full market analysis in seconds
Uses real local sold data instead of misleading global averages
Estimates market value, net margin, ROI, demand, competition, risk, and sell‑through time
Flags suspicious listings and unstable markets so you can avoid traps
Who it’s for:
Resellers and flippers who want to scale beyond “gut feeling”
Side hustlers who don’t have time to manually check every comp
Pros who care about margin, velocity, and risk on every single deal
Why it’s different:
100% focused on secondhand and local markets
Built around profitability (net margin, STR, daily profit), not vanity “price estimates”
Designed to be invisible in your workflow: scan → decision → move on
To celebrate the launch, you can start with 10 free analyses and a 50% discount on paid plans.
I’d love your feedback:
What data would you want to see before buying a used item?
Which marketplaces do you flip on the most?
I’ll be here all day replying to questions, ideas, and roast‑level critiques 🔍