1 project for "sandbox:/mnt/data/project_plan.pod" with 2 filters applied:

  • Self-hosted password manager Icon
    Self-hosted password manager

    Developed and headquartered in Europe (Barcelona, Spain), Passwork meets GDPR, NIS2, ENS and other European regulatory requirements by design.

    On-premise solution with double encryption and certified development processes for maximum protection of corporate data. Zero‑knowledge architecture ensures your passwords never leave your infrastructure.
    Learn More
  • The top-rated AI recruiting platform for faster, smarter hiring. Icon
    The top-rated AI recruiting platform for faster, smarter hiring.

    Humanly is an AI recruiting platform that automates candidate conversations, screening, and scheduling.

    Humanly is an AI-first recruiting platform that helps talent teams hire in days, not months—without adding headcount. Our intuitive CRM pairs with powerful agentic AI to engage and screen every candidate instantly, surfacing top talent fast. Built on insights from over 4 million candidate interactions, Humanly delivers speed, structure, and consistency at scale—engaging 100% of interested candidates and driving pipeline growth through targeted outreach and smart re-engagement. We integrate seamlessly with all major ATSs to reduce manual work, improve data flow, and enhance recruiter efficiency and candidate experience. Independent audits ensure our AI remains fair and bias-free, so you can hire confidently.
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  • 1
    ansvif

    ansvif

    An advanced cross platform fuzzing framework suited to find code bugs.

    ansvif, or A Not So Very Intelligent Fuzzer, suited to find bugs in code by throwing garbage arguments, files, and environment variables at the target program, that you may or may not have the source code to. It supports many features, such as buffer size, randomization of the buffer size, random data injection, templates, and much more. The purpose of this project is to identify bugs in software, specifically bugs that can induce a segmentation fault under various conditions. This aids security researchers in writing buffer overflows, input validation vulnerabilities, as well as helping one audit code for general logic mistakes.
    Downloads: 0 This Week
    Last Update:
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