Gridset
Turn documents into on-brand content
What it does
Gridset turns drafts, notes and data into designed, on-brand documents and presentations. Set your brand up once — from a website URL or guidelines PDF — and every document after that holds the line. Content in, designed document out, under a minute. Real charts built from your numbers. Everything stays editable. Export to PDF, PowerPoint or images. Pull content from Notion, Google Drive, Word or PDF — or drive it from Claude and ChatGPT. You didn't take this job to argue with margins.
Create professional, consistent, on-brand reports, proposals, presentations and more in moments.
Turn your content into documents that match your brand voice, design system, and visual style every time. Upload your brand guidelines or just point Gridset at your website URL to get started. Bring in a Notion page, Google Doc, PDF, or Word file and Gridset designs it for you. No rewriting, no copy-paste, no starting from a blank page. Gridset keeps every document structurally sound, so margins, spacing, and typography stay consistent whether it's one page or fifty. Turn your content into documents that match your brand voice, design system, and visual style every time. Upload your brand guidelines or just point Gridset at your website URL to get started. Bring in a Notion page, Google…from gridset.app
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AstraPixels▲267A pixel-art solar system at its real current positions.
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