
Malrick Costantini
@malrick_c
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Solo Tech Founder. Analyze second-hand listings / find counterfeits with computer vision. Python / JS. Build in public.
Paris
Joined May 2025
I detected 2597 fake @JBLaudio speakers on second-hand marketplaces. On Vinted 75.5% of "Flip 6" speakers are counterfeit🤯. In this thread I'll share my method and key takeaways. 🧵
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Analysis: . A total of 2597 fakes were found in a month (~240 000€ worth of inventory). Here is the overall counterfeit percentage that I observed on different marketplaces:. - @vinted: 56.4%.- @avito: 45%.- Subito: 24.8%.- @facebook: 23.7%.- @leboncoin: 10.2%.- @eBay 6.7%.
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Third step: Learning to spot counterfeits. @JBLaudio provides us many advices to spot fake speakers on their website. One of the most visual indicators is the front logo. Fake speakers have a "sticker" logo that is very different from the original.
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Second step: Finding products of interest. I used image recognition to isolate listings selling either a "Flip 6", "Charge 5", or "Xtreme 3" from @JBLaudio. (This was a custom model trained with PyTorch). Here is the repartition of products / marketplaces:
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Insights after manually confirming all the identifications. Total: 240 000€ worth of fake speakers were found. Here is the percentage of fakes found on different marketplaces: .- @vinted: 56.4%.- @avito: 45%.- Subito: 24.8%.- @facebook: 23.7%.- @leboncoin: 10.2%.- @eBay: 7.2%.
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