Entreveloper's EV-Puzzles
AI-Native Puzzles For WordPress Publishers
What it does
EV-Puzzles generates crossword and word search puzzles straight from your own WordPress articles with AI, builds the puzzle grid automatically, and drops a ready-to-play puzzle onto any page. Using AI is powerful, but optional. Users can also create their Puzzles manually, taking advantage of a visual editor in their admin interface. Apart from those puzzle types, it also includes, so far, our own Checkered Force logical puzzle, and our implementation of Dots and Boxes.
Entreveloper’s EV-Puzzles generates crossword and word search puzzles straight from your own articles with AI, builds the puzzle grid automatically, and drops a ready-to-play puzzle onto any page. No design skills, no separate app. Free & open source · Built for the WordPress block editor. A Pro version if you need more. A quick daily puzzle gives readers a reason to come back tomorrow — and until now, that mechanic has mostly been reserved for publishers big enough to build or license it. Entreveloper brings the same idea to any WordPress site. Generate a word list and hints from a manual prompt, or straight from the content of an article you’ve already published. Powered by…from entreveloper.com
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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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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.
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