PentestReportAI
Generate professional pentest reports from your raw findings
What it does
Paste your raw notes, Nmap output, Burp results, manual findings, screenshots. AI picks up each vulnerability, scores it and structures everything. Choose a template - Executive, Technical, OWASP, Compliance, or Vuln Assessment and download a clean PDF or DOCX. Screenshots get analyzed by vision AI, it reads your evidence, auto-generates captions, and embeds them right next to the relevant finding. There's a desktop app where your pentest data never leaves your machine. No cloud, no server.
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Astra Autonomous PentestJun 2026 · getastra.com · ▲406AI agents that find, validate, and fix every vulnerability



Kittysploit26d ago · kittysploit.com · ▲3Turn pentest scan data into client-ready reports in minutes

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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…
AI · 27d ago · cactuscompute.com


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Switch from ChatGPT to Claude with import memory feature
AI · Mar 2026 · claude.com


