Growth Architect AI
Stop Reading SEO Data. Start Acting On It.
What it does
SEO doesn't have a data shortage. It has a clarity problem. Growth Architect AI connects Google Analytics 4, Google Search Console, & Screaming Frog data in one offline SEO intelligence engine — revealing opportunities, problems, and relationships hidden across separate platforms. No cloud. No data uploads. Your data never leaves your machine. Starter is free for 7 days. Don't just collect SEO data. Act on it. Don't believe the pitch? Put your SEO data through it and see if it saves you time.
Professional offline SEO software. Combine GA4, GSC, Screaming Frog data. Find traffic, indexing, SEO & revenue opportunities. No cloud. No logins. 100% private
Google Analytics. Google Search Console. Screaming Frog SEO Spider. Individually powerful. Growth Architect AI brings all three together into a single intelligence layer, helping you connect the dots between traffic, visibility, technical SEO, and business performance—uncovering opportunities that are often missed when each platform is viewed in isolation. Growth Architect AI runs entirely on your own computer using Microsoft Excel as its powerful local analysis engine. Your data never leaves your machine. No external servers. No APIs. No third-party processing. Just fast, transparent, offline SEO intelligence using the tools you already trust. Growth Architect AI saves you time and gives…from growtharchitectai.com
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Growth · 29d ago · astrapixels.com

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