plym
Open source CMS for ridiculous speed, auto-SEO & GEO
What it does
plym is an open source CMS that serves content to both agents and humans, at ridiculous ⚡️ speed. Agents get raw markdown: <80% fewer tokens, cleaner context. Humans get, well, a human page. It's heavily optimised for speed, SEO and AI discoverability. You hit 100/100 on PageSpeed out of the box for blogs built using plym. It's highly customisable (everything including the entire template), but ships with pretty well-thought defaults. Neither a config maze nor an opaque wall.
plym is the WordPress alternative with 100/100 PageSpeed that gets your blog ranked in Google and cited in ChatGPT. Zero maintenance. Free 7-day trial.
plym is a WordPress alternative that does speed, SEO & GEO for you out of the box. They are AI crawlers, and plym serves them an AI-friendly version 4.2 KB of clean text against 92 KB of HTML for the same page, so a model reads more of what you wrote. . Same URL, same content. Your readers see your designed page, AI reads the clean version. # Introducing plym Today we're releasing plym as open source. It's a CMS built from the ground up for two audiences that used to be one: people reading your site in a browser, and the growing number of agents reading it on their behalf. ## Why another CMS? There are hundreds of them, from WordPress to Hugo, so this is a fair question to open with.…from plym.io
Does the same job
all alternatives →More ai this month
the category →
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
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com


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…
AI · 26d ago · cactuscompute.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