PentestFlow
The operating system for penetration testing teams.
What it does
Plan with structured methodologies, run tools from one workspace, capture evidence as you go, and ship audit-ready reports. Built for solo testers and for pentesters collaborating on the same target. Open core, with commercial editions for teams and enterprises.
Plan with structured methodologies, run tools from one workspace, capture evidence as you go, and ship audit-ready reports. Built for solo testers and for pentesters collaborating on the same target. Open core, with commercial editions for teams and enterprises. Most teams stitch together notes apps, terminals, screenshot folders, and Word templates. The work is real. The system is not. Every tester works differently. Coverage drifts client to client. Screenshots, commands, and outputs forgotten in random folders. PentestFlow gives security teams a single place to plan, run, and document offensive work, mapped to the lifecycle they actually follow. Step-by-step methodologies turn ad-hoc…from pentestflow.ai
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The app store for voice native apps that lives in your notch
Work · 28d ago · voiceos.com

The New Calendly▲211Handle all of the work before, during, and after meetings
Work · 17d ago · calendly.com
Launched alongside, August 2026
the whole month →- TL
Life & fun · 9d 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