PageWisr
Find what’s costing you customers, and fix it fast.
What it does
Your website might look great and still lose customers. PageWisr finds what’s confusing, weak, or getting in the way across design, UX, copy, trust, SEO and more. Then it tells you exactly what to fix, why it matters, and gives you ready-to-use prompts to ship the changes. Your first website scan is completely free.
Know what your website is costing you. People decide in seconds and leave without saying why. PageWisr tells you what is costing you customers, and writes the fix.
PageWisr finds what’s making people leave your website and writes fixes you can ship tonight. Your friends will tell you it looks nice. PageWisr will tell you the headline says nothing, the button asks too much and there is no proof anyone else uses it — because those are the things quietly costing you customers. Every finding points at something real on your page, says why it is losing you people, and tells you what to change. If the part you are proudest of is the part doing the damage, it says so. Your headline names a category, not a result. Five seconds in, someone new still cannot say what they would get from this — so the decision moves to the second scroll, and most people never get…from pagewisr.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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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 · 16d ago · simedw.com