Lumen
Ship your AI SaaS landing page today
What it does
Lumen is a production-ready landing page template for AI products and SaaS startups. Customize in 10 minutes, deploy to Vercel with one click, go live in hours. Includes 9 pages, 13 homepage sections, dark-first design, light/dark mode, SEO optimization, and accessibility. Perfect for founders who need a professional, conversion-focused site without hiring a designer. Zero backend, zero database, zero config. Built with Next.js, TypeScript, and Tailwind CSS.
Lumen turns your PDFs, Notion pages, and Drive files into a source-backed Q&A engine. Ask in plain English, cite every answer.
Lumen reads your PDFs, Notion pages, and Drive files, then answers questions with citations back to the exact paragraph. No more digging. No more guessing. EU customer data is retained for 30 days after account closure, then permanently deleted. Backups follow a 35-day rotation 1 and EU tenants are pinned to the Frankfurt region by default 2 . Companies generate knowledge faster than ever — then bury it in folders nobody can search. The cost isn't the storage. It's every decision made without the answer. The average knowledge worker spends almost a full workday a week just looking for information that already exists inside the company. Drafts live in Drive, Notion, email attachments, and…from celadon-longma-d9d6cd.netlify.app
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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.
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
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Launched alongside, August 2026
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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 · 17d ago · simedw.com