Latest Updates
What we've been building, improving, and experimenting with.
Organic traffic from Google keeps growing, and someone just bought an extremely rare Disney pin for $5,200 on eBay through a link on our site.
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Uploads got simpler on mobile and desktop, while the catalog picked up the SEO basics needed to make 155,000 plus pin pages discoverable.
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Our biggest model upgrade yet. We trained the v4 pin detection model on over 154,000 images using an NVIDIA RTX PRO 6000 Blackwell GPU with 96GB of VRAM, achieving a 95.3% detection accuracy.
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We've built and trained a custom machine learning model right here on our local hardware to automatically detect and identify Disney pins from photos of your boards and lanyards.
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A major architecture shift replaced cloud vision with local YOLO detection and CLIP search, making uploads faster and eliminating per-image API costs.
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Pin Portfolio now uses a local vision model to score how closely eBay listings match your pin, improving result quality without adding cloud costs.
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The pricing pipeline now uses image-aware eBay search, smarter filtering, and caching to return faster and more accurate results.
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A huge import brought more than 155,000 Disney pins into a searchable reference catalog, complete with dedicated pages and AI-assisted enrichment.
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Pin Portfolio made the jump from local project to live site with Docker deployment, async processing, and better support for iPhone uploads.
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Pin Portfolio grew from a solo tool into a community-friendly site with accounts, profile pages, public collections, and a discovery feed.
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The first version of Pin Portfolio could take a photo, identify a Disney pin with AI, and pull sold eBay prices to start building a collection.
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