Ranken
AI-hosted blogs that turn your site into an authority engine
What it does
Ranken is the first AI blogging platform that does the full job, not just writing. Paste your website and get a live SEO blog on your domain in 60 seconds. AI agents research audience searches, draft articles, score them for SEO, and auto-submit to Search Engines. Unlike AI writers or blogs, Ranken handles research, writing, optimization, hosting and indexing in one place. You just review and publish. For businesses that want to rank on Google and get cited by ChatGPT without a content team.
Ranken gives your business a hosted blog, reviewable AI-assisted drafts, and indexing built into the publishing workflow.
Grow your blog with daily AI-assisted drafts ready for review. Ranken gives your business the complete content surface: a hosted blog on your domain, research-backed drafts you review before publishing, and indexing built into the workflow. Not another AI writing tab. Sign up, paste your website URL — AI reads your business and spins up a live blog domain in under 60 seconds. Keep the free Ranken subdomain or point your own domain. One DNS record and your branded blog is live on your domain. Ranken reads your website, understands your product and audience, then surfaces the best content opportunities for your niche. Generate SEO-optimized articles tailored to your business. Multiple drafts.…from ranken.io
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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.
AI · 16d ago · simedw.com
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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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Life & fun · 10d ago · louisabraham.github.io
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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