Scribe SEO AI
AI SEO optimization for Shopify product pages
What it does
Scribe SEO AI helps Shopify and ecommerce stores rewrite product titles, meta descriptions, and product descriptions with AI. It is built for product-page SEO, not generic blog SEO. Use it to: - improve product titles - generate meta descriptions - rewrite product copy - find SEO gaps - prepare product pages for Google and AI search - review AI suggestions before publishing We do not guarantee rankings. The goal is to improve product-page SEO quality and workflow speed.
Scan your ecommerce store, rewrite product metadata, optimize descriptions, and improve SEO coverage with AI-powered Shopify SEO automation.
AI-powered organic growth for ecommerce. Scan your product catalog, rewrite SEO metadata, and improve descriptions at scale. Scribe SEO AI is an AI-powered platform that scans your Shopify product catalog, rewrites SEO metadata, and optimizes product descriptions at scale. It helps ecommerce stores improve search visibility without hiring an agency or spending hours on manual edits. Product titles, meta descriptions, product descriptions, image alt text, and schema markup. The AI analyzes each product and generates search-optimized content that matches your brand voice. It scans your product catalog, finds weak metadata, and rewrites everything in minutes. You review and approve before…from scribeseoai.com
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Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io


- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io


I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 16d ago · simedw.com