PeekBits
Uptime, performance & attack surface monitoring
What it does
PeekBits gives you external visibility into your website’s uptime, performance, and attack surface. Monitor your services continuously and get instant alerts when something goes wrong—from downtime and slow responses to SSL, security headers, exposed ports, and other security issues. Know what’s happening before your customers do.
Enterprise-grade uptime, performance, and attack surface monitoring for modern engineering teams.
Continuous uptime, performance, and attack surface monitoring from outside your network—with instant alerts that pinpoint exactly what's wrong before your customers notice. For any business operating online, downtime is a direct loss of revenue, trust, and reputation. Every minute offline, customers cannot place orders, access services, or get support. Your website goes down. Your customers notice. You don't. By the time you find out, the damage is already done. Common vulnerabilities sit exposed on your public domain without your knowledge — open ports, expired SSL, misconfigured headers. Every unresolved incident erodes customer confidence. Downtime during peak hours is not just…from peekbits.com
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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