
Relaunch - Competitor Monitoring
See every move your competitors make
What it does
Stay on top of your competitors - we monitor your competitors' entire websites and surface every change the moment it ships — pricing, headlines, design, and new pages, all in one feed.
Stay on top of your competitors with ScrapX, the website monitoring service that lets you monitor website changes and track website updates in real time – no coding required.
From a tiny price adjustment to a full redesign, stay up to date with our website monitoring service and monitor website changes and website updates in real time. Use our live playground below to configure your first monitor right now, and watch all your website updates in real time with our different website monitoring tools. Go beyond pixels. Track website updates and the words that sell with our website monitoring service, and see the numbers that drive their business. This tool was born out of the daily struggle of running my last startup. Our market was moving fast, and we needed to anticipate our competitors' next steps to survive. Tracking their site changes was our best source of…from scrapx.io
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Open-source GTM skills for technical founders
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OpenTrailPaper is open-source bike computer firmware for the LilyGO T5S3 4.7" E-Paper PRO. It supports offline maps, GPX routes, FIT recording and Bluetooth sensors.
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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