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        "equity_range": "0.10% - 0.20%",
        "experience": "1+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 95169,
        "title": "Head of US",
        "url": "https://www.ycombinator.com/companies/riot/jobs/YLl7jQn-head-of-us",
        "location": "New-York",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "Riot raises $30 million for its cybersecurity product suite focused on employees | TechCrunch",
        "url": "https://techcrunch.com/2025/02/03/riot-raises-30-million-for-its-cybersecurity-product-suite-focused-on-employees/",
        "date": "Feb 03, 2025"
      },
      {
        "title": "Riot prepares your team against highly sophisticated cyberattacks • TechCrunch",
        "url": "https://techcrunch.com/2023/02/07/riot-prepares-your-team-against-highly-sophisticated-cyberattacks/",
        "date": "Feb 07, 2023"
      }
    ],
    "launches": []
  },
  {
    "id": 21885,
    "name": "Swif.ai",
    "slug": "swif-ai",
    "former_names": [
      "BlaBla EdTech",
      "BlaBla Live",
      "Swifteam",
      "Inc.",
      "Swifteam",
      "Swif"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3f00f6931229f64701cd737b9839f92f72e20005.png",
    "website": "https://www.swif.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Swif.ai is the Unified Agent & Endpoint Management (UAEM)\r\n\r\nManage every device. Govern every AI agent.\r\n\r\nOne control plane for device management, AI-agent governance, continuous enforcement, and autonomous remediation.",
    "one_liner": "Manage every device. Govern every AI agent.",
    "team_size": 20,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
    "launched_at": 1597360094,
    "tags": [
      "SaaS",
      "B2B",
      "Compliance",
      "Security",
      "Enterprise"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2020",
    "status": "Active",
    "industries": [
      "B2B",
      "Security"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": [
      {
        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "We have 10 people on the team. I was the co-founder of LeadIQ, the leading sales intelligence platform. I managed a fast-growing team of 50 remote employees and onboarded everyone while creating a platform that handled millions of dollars every year. Mert is the CTO and he has over 10 years of experience building device security. Mert and I have both experienced issues of device security and Mert has been building a similar solution for the past 5 years. Jeremy is our sales. He was a former YC founder and recently joined us to drive our sales. He used to host virtual YC demo days."
      },
      {
        "question": "How did you decide to apply to Y Combinator? What was your experience applying, going through the batch, and fundraising at demo day?",
        "answer": "Our batch mentor guided us on product iteration and helped us with pitch practices. We genuinely appreciate Tim, Aaron, and Kevin’s mentorship to help us grow!"
      },
      {
        "question": "How have you kept in touch with the YC community and continued to use YC resources & programs since the batch ended?",
        "answer": "We worked with many YC companies to help with their device management and compliance needs. We also launched our own YC deal to help new YC batch companies can quickly ramp up their remote device management."
      },
      {
        "question": "What's the history of your company from getting started until the present day? What were the big inflection points?",
        "answer": "In 2022, we discovered the power of ChatGPT and realized that we can leverage its platform to simplify device management and remote employee management. This was the pivot point of our product."
      },
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "Swif is revolutionizing device security with AI,  we are the first to eliminate the Shadow IT problem—empowering businesses with complete control, visibility, and security."
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "Revolutionizing device security with AI, we are the first to eliminate the Shadow IT problem—empowering businesses with complete control, visibility, and security."
      }
    ],
    "url": "https://www.ycombinator.com/companies/swif-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2020/swif-ai.json",
    "year_founded": 2022,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://linkedin.com/company/swifai",
    "x_url": "https://twitter.com/swif_ai",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3f00f6931229f64701cd737b9839f92f72e20005.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [
      "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/3839e1d62757afb3dd90cb7cf0063aa8fa3b4023.png"
    ],
    "primary_partner": null,
    "founders": [
      {
        "user_id": 28055,
        "full_name": "Angelo (KC) Huang",
        "title": "Founder",
        "founder_bio": "Swif.ai is the Security & Compliance UEM.\n\nEvery other MDM is great if you have basic requirements, but if you have security concerns and real compliance requirements, you need something more sophisticated that can handle that.\n\nSwif UEM for when you have real security and compliance concerns.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/angelokh",
        "x_url": "https://twitter.com/angeloh",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ec27dd6866a09d79b48f7388daef8f230c28296f.jpg"
      }
    ],
    "jobs": [
      {
        "id": 45031,
        "title": "Backend Developer (Scala/Java)",
        "url": "https://www.ycombinator.com/companies/swif-ai/jobs/VoDI7UY-backend-developer-scala-java",
        "location": "Taiwan / United States / Canada / Singapore / VN / ID / Remote (Taiwan; United States; Canada; Singapore; VN; ID)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$40K - $70K",
        "equity_range": "0.10% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
          "Java",
          "MongoDB",
          "Python",
          "Redis",
          "Scala",
          "Docker"
        ]
      },
      {
        "id": 49868,
        "title": "DevOps Engineer",
        "url": "https://www.ycombinator.com/companies/swif-ai/jobs/094hpfh-devops-engineer",
        "location": "Taiwan / VN / ID / TR / Remote (Taiwan; VN; ID; TR)",
        "type": "Contract",
        "role": "Engineering",
        "role_type": "Devops",
        "salary_range": "$30K - $50K",
        "equity_range": "0.10% - 0.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Amazon Web Services (AWS)",
          "Git",
          "Google Cloud",
          "Kubernetes",
          "Docker"
        ]
      },
      {
        "id": 50579,
        "title": "Frontend Engineer (Vue, Browser Extensions, AI Agent)",
        "url": "https://www.ycombinator.com/companies/swif-ai/jobs/aDnRu3L-frontend-engineer-vue-browser-extensions-ai-agent",
        "location": "TW / CA / VN / JP / KR / ID / Remote (TW; CA; VN; JP; KR; ID)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Frontend",
        "salary_range": "$40K - $60K",
        "equity_range": "0.10% - 0.50%",
        "experience": "1+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
          "CSS",
          "HTML",
          "JavaScript",
          "React",
          "Vue.js"
        ]
      },
      {
        "id": 53124,
        "title": "Backend Engineer (Golang)",
        "url": "https://www.ycombinator.com/companies/swif-ai/jobs/bAPaF28-backend-engineer-golang",
        "location": "TW / US / CA / SG / ID / VN / MY / TR / Remote (TW; US; CA; SG; ID; VN; MY; TR)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$40K - $70K",
        "equity_range": "0.10% - 0.25%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
          "Go",
          "Distributed Systems"
        ]
      },
      {
        "id": 55001,
        "title": "Software Testing Engineer (QA)",
        "url": "https://www.ycombinator.com/companies/swif-ai/jobs/rm6wwJu-software-testing-engineer-qa",
        "location": "TW / VN / Remote (TW; VN)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "QA engineer",
        "salary_range": "$30K - $50K",
        "equity_range": "0.10% - 0.50%",
        "experience": "1+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
          "GraphQL",
          "Linux",
          "Windows",
          "MacOS"
        ]
      },
      {
        "id": 55966,
        "title": "Full-Cycle Sales AE",
        "url": "https://www.ycombinator.com/companies/swif-ai/jobs/9H1KM0B-full-cycle-sales-ae",
        "location": "Sunnyvale, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$30K - $60K",
        "equity_range": "0.50% - 1.00%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 61955,
        "title": "Sales Intern [Summer 2026]",
        "url": "https://www.ycombinator.com/companies/swif-ai/jobs/iz7AKOn-sales-intern-summer-2026",
        "location": "US / Remote (US)",
        "type": "Internship",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$300 - $1K",
        "equity_range": "0.01%",
        "experience": null,
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 62132,
        "title": "Full Stack Software Engineer Intern [Summer 2026]",
        "url": "https://www.ycombinator.com/companies/swif-ai/jobs/dcyipuS-full-stack-software-engineer-intern-summer-2026",
        "location": "US / TW / Remote (US; TW)",
        "type": "Internship",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$500 - $2K / monthly",
        "equity_range": "0.01%",
        "experience": null,
        "visa": "US citizen/visa only",
        "skills": [
          "Linux",
          "Windows",
          "MacOS"
        ]
      },
      {
        "id": 77904,
        "title": "Sales Development Representative (SDR)",
        "url": "https://www.ycombinator.com/companies/swif-ai/jobs/lbbQXJj-sales-development-representative-sdr",
        "location": "US / CA / Remote (US; CA)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$40K - $80K",
        "equity_range": "0.01%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "What's New: TrustClaw Consumer Onboarding",
        "url": "https://feedback.swif.ai/changelog/whats-new-trustclaw-consumer-onboarding",
        "date": "Jun 23, 2026"
      },
      {
        "title": "TrustClaw Enterprise Onboarding",
        "url": "https://feedback.swif.ai/changelog/trustclaw-enterprise-onboarding",
        "date": "Jun 23, 2026"
      },
      {
        "title": "Founder Note: Swif.ai Statement on Stryker's Microsoft Intune MDM Attacks Wiping 200,000 devices",
        "url": "https://news.swif.ai/p/founder-note-swif-statement-on-the-stryker-intune-attacks-wiping-200-000-devices",
        "date": "Mar 22, 2026"
      },
      {
        "title": "Swif.ai Is Now Live in the EU 🇪🇺 — EU Data Residency Is Here",
        "url": "https://news.swif.ai/p/swif-ai-is-now-live-in-the-eu-eu-data-residency-is-here",
        "date": "Mar 16, 2026"
      },
      {
        "title": "The Stryker Wipe: What 200,000 Lost Devices Teach Us About MDM Blast Radius Protection | Swif",
        "url": "https://www.swif.ai/blog/stryker-wipe-lessons-about-mdm-blast-radius-protection",
        "date": "Mar 13, 2026"
      }
    ],
    "launches": [
      {
        "id": 84069,
        "title": "Swif: Solve Shadow IT with our Chrome extension",
        "tagline": "Gain full control over Shadow IT—track, secure, and manage unauthorized apps with ease using Swif's Chrome Extension.",
        "body": "![uploaded image](/media/?type=post&id=84069&key=user_uploads/28055/554bc23e-0c52-44e5-b8e5-d956361fc467)\n\nHey, YC community! We’re the team at [Swif](https://www.swif.ai?utm_source=yclaunch), and we're excited to introduce our **Swif Chrome Extension**, designed to solve the growing issue of Shadow IT in organizations. As businesses scale, it's easy for employees to start using unauthorized SaaS apps, creating security and compliance risks that IT teams struggle to monitor.\n\n**What’s the problem?** Shadow IT refers to apps and services used by employees without IT’s knowledge or approval. This often leads to unmonitored data access, increasing the risk of breaches, non-compliance, and lost productivity. Even well-managed IT teams find it hard to track all software being used across departments.\n\n**How does Swif’s Chrome Extension fix this?** Our Chrome Extension helps you automatically identify and monitor employee access to unauthorized SaaS apps. With **real-time visibility**, Swif detects email and password sign-ups to unapproved apps, enabling IT teams to track usage, ensure compliance, and take action quickly—before a security risk escalates. The extension fits seamlessly into your existing IT workflow, providing a single dashboard for comprehensive oversight.\n\nSwif’s strength lies in its automation. Instead of manually hunting down unapproved apps, our extension monitors usage, generates compliance reports, and offers automated solutions for securing access. This gives you control without adding complexity, saving both time and resources.\n\n![uploaded image](/media/?type=post&id=84069&key=user_uploads/28055/13b44543-ebbc-4d61-ad14-5dd5150a1dd1)\n\n**Why did we build it?** The idea came from our experience working with companies overwhelmed by Shadow IT problems. We saw firsthand how much of a challenge it is to maintain visibility over what employees are using, especially in remote and hybrid work environments. Our mission was to create a tool that does the heavy lifting for IT departments, making it easier to manage without sacrificing security or efficiency.\n\n**What’s next?** We’re excited to offer early access to the Swif Chrome Extension! If you’re managing a fleet of devices or overseeing IT security, sign up to be among the first to try our solution and take control of Shadow IT.\n\n**Call to Action**: Ready to tackle Shadow IT? [Create a Swif account](https://app.swif.ai/chromeextension?utm_source=yclaunch), download the extension, and start managing your apps with ease!",
        "url": "https://www.ycombinator.com/launches/Lrx-swif-solve-shadow-it-with-our-chrome-extension",
        "votes": 6,
        "created_at": "2024-09-17T02:14:17.061Z"
      },
      {
        "id": 70930,
        "title": "Swif.ai - Compliance-First Device Security",
        "tagline": "The YC's Get Start Package for MDM & Compliance Automation",
        "body": "### **⛔️The problem**\n\n1. Fragmented device management across multiple operating systems and locations.\n2. Time-consuming manual compliance checks and reporting for various regulatory standards.\n3. Inefficient onboarding and offboarding processes for remote and global teams.\n4. Lack of visibility into shadow IT and unauthorized SaaS application usage.\n\n### **🚀The solution**\n\n[Swif.ai](http://Swif.ai) offers a comprehensive solution for device security, compliance management, and IT administration across Linux, Windows, and macOS. It automates patch management for various compliance frameworks, provides real-time compliance status reports, and enables remote device control. Swif's all-in-one platform integrates with HR systems, simplifying employee onboarding and offboarding processes while offering cost-effective access management compared to traditional SSO solutions.\n\n**Customer Benefits**\n\n1. Unified visibility and control over all organizational devices, regardless of operating system or location.\n2. Significant time savings through automated compliance readiness checks and real-time reporting.\n3. Enhanced security posture with the ability to instantly lock or wipe compromised devices remotely.\n4. Reduced IT overhead by consolidating device management, access control, and compliance tools into a single platform.\n\n### **🛠️How it works**\n\nThe setup is extremely easy. Here is 1 min get started video.\n\n![uploaded image](/media/?type=post&id=70930&key=user_uploads/28055/12d9aeea-cdbe-4734-a6d9-441a31135956)\n\n### **✅Our asks**\n\n* Check out our [**website**](https://www.swif.ai) – play around with our **interactive demo**\n* [**Sign up**](https://app.swif.ai/) and use Swif — it’s free.\n* [**Reach out**](https://www.swif.ai/) if you’re interested in a live demo",
        "url": "https://www.ycombinator.com/launches/IS2-swif-ai-compliance-first-device-security",
        "votes": 17,
        "created_at": "2023-04-13T00:24:25.556Z"
      },
      {
        "id": 66625,
        "title": "Swif - One-stop device management and security",
        "tagline": "Order, equip, manage your devices for your distributed teams",
        "body": "Hello, everyone! This is [Angelo](https://www.linkedin.com/in/angelokh/) here to introduce [Swif](https://www.swif.ai?utm_source=yc&utm_medium=launch&utm_campaign=yc_launch)!\n\n❌ **The Problem**\n\nIn my last startup LeadIQ, I managed 2 remote teams in the US and Singapore. It was really painful to manage devices and cloud app access for employees in different locations. We wanted a better understanding of company devices and employee’s cloud app access, and we used a giant Excel sheet to solve this problem, only to find that the solution can not scale. We took time to find solutions to set up, configure, and then discover that the capabilities of each solution were incomplete or buggy. Companies were wasting money and time. The challenges were real, painful and increased company risks. Employee onboarding and offboarding were a nightmare.\n\n✨ **Our Solution**\n\nSwif helps distributed teams manage their devices, purchase new ones, and retrieve them when employees leave the company. \n\n![uploaded image](/media/?type=post&id=66625&key=user_uploads/28055/4b87f21a-cf0d-4381-b7ba-286c4c293b40)\n\nWhy do we need a new solution for device management?\n\nYou might work in California but have team members distributed in Texas, New York, Paris, and Singapore. Things like these might occur to you:\n\n1. Sending, retrieving, and storing devices for remote teams is painful. \n2. Losing data for security risks could keep you up at night.\n3. Employee data is across multiple platforms, eg. Gusto and Deel, and have no audit trails of who owns which devices.\n\n👉 **Next steps**\n\n1. Sign up for [Swif](https://www.swif.ai?utm_source=yc&utm_medium=launch&utm_campaign=yc_launch) and subscribe with promo code ‘ycdeal’ to enjoy one-year free premium features.\n2. Import your employees from your HRIS. We currently support 30 HRIS connections!\n3. Follow the Quick Start to set up your system to enroll devices and link us to your Apple business manager.\n\nWant to start taking control of your remote fleet? \n\nVisit us at <https://www.swif.ai> or reach out to us at [support@swif.ai](https://mailto:support@swif.ai).",
        "url": "https://www.ycombinator.com/launches/HKb-swif-one-stop-device-management-and-security",
        "votes": 32,
        "created_at": "2022-10-11T17:09:59.715Z"
      }
    ]
  },
  {
    "id": 21917,
    "name": "Vectrix",
    "slug": "vectrix",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9315542ed06d8a722e5739c5365aceb689b1d937.png",
    "website": "https://www.vectrix.io",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "As organizations around the world continue to rapidly adopt SaaS applications as the way they run their businesses, many are left without a way to manage the security of those same applications.\r\n\r\nCorporate IT and security teams are left asking questions like:\r\n- How will I know if someone shares a sensitive Google Doc publicly?\r\n- What if one of our employees doesn't have two-factor authentication enabled in Zoom?\r\n- Will I know when a new user is added to Slack?\r\n- What happens if our Salesforce minimum password setting isn't strong enough?\r\n\r\nWith Vectrix's easy-to-use SaaS security scanning, organizations everywhere can quickly identify security issues and risks like these across their entire suite of SaaS apps, including Google Workspace, Microsoft 365, Slack, Zoom, GitHub, and more.\r\n\r\nWhen new issues arise, IT and security teams can be alerted in real-time so that further action can be taken right away.\r\n\r\nFounded by former security professionals from Autodesk, Vimeo, and PlanGrid, Vectrix is committed to providing teams of all sizes an efficient and reliable way to stay secure in the public cloud.\r\n\r\nGet started at https://www.vectrix.io",
    "one_liner": "Scan your SaaS apps and instantly identify security issues",
    "team_size": 7,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
    "launched_at": 1597513135,
    "tags": [
      "SaaS",
      "Security"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2020",
    "status": "Acquired",
    "industries": [
      "B2B",
      "Security"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": true,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/vectrix",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2020/vectrix.json",
    "year_founded": 2020,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/vectrixsecurity",
    "x_url": "",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/vectrix-d281",
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        "title": "CTO- Cyber Security ",
        "url": "https://www.ycombinator.com/companies/cyble/jobs/nd6SoAb-cto-cyber-security",
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        "title": "Senior Engineer - ML & AI",
        "url": "https://www.ycombinator.com/companies/cyble/jobs/kdQ44Xs-senior-engineer-ml-ai",
        "location": "Bengaluru, KA, IN / Remote (Bengaluru, KA, IN)",
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        "title": "Windows Agent Developer",
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        "location": "Bengaluru, KA, IN / Bengaluru, Karnataka, IN",
        "type": "Full-time",
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        "role_type": "Embedded systems",
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        "url": "https://www.ycombinator.com/companies/cyble/jobs/oMpfMAl-senior-software-engineer-ai",
        "location": "Bengaluru, KA, IN / Bengaluru, Karnataka, IN",
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        "location": "Bengaluru, KA, IN / Bengaluru, Karnataka, IN",
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        "title": "Sales Engineer - Philippines",
        "url": "https://www.ycombinator.com/companies/cyble/jobs/4G67k4K-sales-engineer-philippines",
        "location": "PH / Remote (PH)",
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        "equity_range": "",
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        "url": "https://www.ycombinator.com/companies/cyble/jobs/idYynR5-senior-researcher-dark-web-threat-intelligence",
        "location": "Bengaluru, KA, IN / Bengaluru, Karnataka, IN",
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        "visa": "US citizen/visa only",
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      },
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        "id": 97114,
        "title": "Bug Hunter - Dark Web & Threat Intelligence",
        "url": "https://www.ycombinator.com/companies/cyble/jobs/BZMt0u5-bug-hunter-dark-web-threat-intelligence",
        "location": "Bengaluru, KA, IN / Bengaluru, Karnataka, IN",
        "type": "Full-time",
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        "experience": "3+ years",
        "visa": "US citizen/visa only",
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        "id": 97760,
        "title": "Regional Sales Manager - US Central",
        "url": "https://www.ycombinator.com/companies/cyble/jobs/uIMRS0E-regional-sales-manager-us-central",
        "location": "Chicago, IL, US / TX, US / IL, US / LA, US / KS, US / Remote (Chicago, IL, US; TX, US; IL, US; LA, US; KS, US)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$120K - $150K",
        "equity_range": "",
        "experience": "11+ years",
        "visa": "US citizenship/visa not required",
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        "id": 98490,
        "title": "Brand Monitoring Specialist - Bangalore (Hybrid)",
        "url": "https://www.ycombinator.com/companies/cyble/jobs/niyJoHX-brand-monitoring-specialist-bangalore-hybrid",
        "location": "Bengaluru, KA, IN / Bengaluru, Karnataka, IN",
        "type": "Full-time",
        "role": "Support",
        "role_type": null,
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        "title": "Account Executive - Big 4, Strategic Advisory & Consulting",
        "url": "https://www.ycombinator.com/companies/cyble/jobs/pfbIcW0-account-executive-big-4-strategic-advisory-consulting",
        "location": "US / Remote (US)",
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        "id": 99707,
        "title": "Forward-Deployed Engineer (FDE) - Bangalore/Delhi",
        "url": "https://www.ycombinator.com/companies/cyble/jobs/XloGjT2-forward-deployed-engineer-fde-bangalore-delhi",
        "location": "Bengaluru, KA, IN / Bengaluru, Karnataka, IN / Remote (DL, IN; Delhi, IN)",
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        "title": "Technical Support Lead",
        "url": "https://www.ycombinator.com/companies/cyble/jobs/88jXu8s-technical-support-lead",
        "location": "Bengaluru, KA, IN / Bengaluru, Karnataka, IN",
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        "location": "Bengaluru, KA, IN / Bengaluru, Karnataka, IN",
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        "title": "Customer Success Manager (Associate)",
        "url": "https://www.ycombinator.com/companies/cyble/jobs/PIjWfjW-customer-success-manager-associate",
        "location": "AU / Remote (AU)",
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        "title": "Threat intelligence startup Cyble lands $24M investment | TechCrunch",
        "url": "https://techcrunch.com/2023/07/31/threat-intelligence-startup-cyble-lands-24m-investment/",
        "date": "Jul 31, 2023"
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        "title": "Darkweb And Cybercrime Monitoring Startup Cyble Announces US $10 Million in Series A Funding | Business Wire",
        "url": "https://www.businesswire.com/news/home/20220215006151/en/Darkweb-And-Cybercrime-Monitoring-Startup-Cyble-Announces-US-10-Million-in-Series-A-Funding",
        "date": "Feb 22, 2022"
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      {
        "id": 112785,
        "title": "MalwareAnalyzer: Static scanning, real detonation, an interactive live VM, and a threat graph you can pivot through",
        "tagline": "We just crossed 500K samples analyzed - free for anyone here.",
        "body": "Hey all - Cyble (YC W21) here. We've been heads-down on MalwareAnalyzer (<https://malwareanalyzer.com>): a public malware analysis and threat intelligence platform. Submit a file, a URL, or a hash and get a verdict backed by real evidence. Public analysis is free and unlimited, and no account is required.\n\nWe just crossed 500,000 samples analyzed, which felt like a reasonable excuse to finally post here.\n\n**What's actually in it**\n\n**Multi-engine static scanning.** Free and open engines (ClamAV, YARA, hash feeds, static tooling) run locally; third-party AV engines run on an isolated in-VPC Windows scanner. The report shows only the engines that actually ran — no padded vendor list.\n\n**Real sandbox detonation.** We execute the sample, not just scan it. Full behavior capture across process, file, registry and network activity.\n\n**Interactive live-VM analysis.** Take the wheel mid-detonation: click through installers, dismiss dialogs, trigger the behavior that only fires on user interaction. Choose your guest OS, network mode and engine — and diff two builds side by side.\n\n**URL and phishing analysis.** Paste a link and get the redirect chain, hosting and verdict without touching it yourself.\n\n**Queryable threat-intelligence graph.** Pivot from a sample out to infrastructure, families and related samples. Search the whole corpus by content, indicator, MITRE technique or family — then save it as a standing hunt and get notified when something new matches.\n\n**ATT&amp;CK mapping with receipts.** Every technique is attributed to its source (static capa rule vs. observed at runtime) with confidence weights, plus rule-set hashes so a report is reproducible.\n\n**Reports that admit what they don't know.** If an analysis tier fails to complete, the report is marked degraded and queued for re-analysis rather than presented as clean coverage. A report with no findings _and_ no degradation notice is a real negative result.\n\n**An API with no key required.**\n\n\\`\\`\\`\n\ncurl -X POST <https://malwareanalyzer.com/v1/submit> \\\\\n\n  -H 'content-type: application/json' \\\\\n\n  -d \"{\\\\\"fileName\\\\\":\\\\\"sample.bin\\\\\",\\\\\"fileBase64\\\\\":\\\\\"$(base64 &lt; sample.bin | tr -d '\\\\n')\\\\\"}\"\n\n\\`\\`\\`\n\nReturns a task id and a report URL. Submissions are unlimited; lookups are capped at 1,000/day per IP.\n\n**Why this might matter even if you're not a security company**\n\nSomeone on your team is eventually going to get a strange attachment, an unsigned installer from a vendor, or a \"recruiter\" link that smells wrong. Drop it in and get an answer in about a minute - better than a Slack thread of guesses.\n\nFree covers submissions and full reports. Premium compute (private analysis, deep URL scans, the AI assistant) runs on credits, and every account starts with a free grant.\n\nHappy to go deep on any of this - the interactive sandbox was by far the hardest part to get right. Feedback, bug reports and \"your report was wrong about my file\" all very welcome.",
        "url": "https://www.ycombinator.com/launches/TL7-malwareanalyzer-static-scanning-real-detonation-an-interactive-live-vm-and-a-threat-graph-you-can-pivot-through",
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        "created_at": "2026-08-31T15:04:07.208Z"
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      {
        "id": 80316,
        "title": "AmIBreached.com by Cyble: The ultimate data breach monitoring solution 🔒",
        "tagline": "Your AI-powered sentinel against data breaches.",
        "body": "👋 We're thrilled to announce the launch of AmIBreached.com, the most advanced and comprehensive data breach detection and monitoring platform on the market.\n\nAs data breaches continue to rise, we've been working tirelessly to develop a solution that empowers individuals and businesses to safeguard their sensitive information. With AmIBreached.com, you can now have peace of mind knowing that your data is secure.\n\n🔍 Key Features of AmIBreached.com:\n\n* Advanced breach detection algorithms that continuously scan the web for compromised data 🚨\n* Intuitive dashboard for easy monitoring and management of your data security 📊\n* Real-time alerts to keep you informed of any potential breaches 📩⚡\n* Seamless integration with popular tools and platforms for a streamlined workflow 🔧🤝\n* Customizable security settings to fit your unique needs 🎚️🔐\n\n👨‍💻👩‍💻 Whether you're an individual looking to protect your personal information or a business aiming to secure your organization's data, AmIBreached has got you covered.\n\n🌍 Join the thousands of satisfied users who trust AmIBreached to keep their data safe and secure. Our cutting-edge technology and dedicated support team are here to ensure your peace of mind in the digital world.\n\n[**Try it out today**](http://amibreached.com/)**. We'd love to hear your thoughts and feedback! Don't hesitate to reach out to our team with any questions or suggestions.**",
        "url": "https://www.ycombinator.com/launches/KtQ-amibreached-com-by-cyble-the-ultimate-data-breach-monitoring-solution",
        "votes": 92,
        "created_at": "2024-04-22T15:23:29.341Z"
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        "title": "Odin - Attack surface monitoring and internet scanning for everyone",
        "tagline": "Proactively uncover security risks in your public-facing infrastructure before cybercriminals can exploit them.",
        "body": "We're excited to share that we launched [Odin](https://getodin.com), our new attack surface monitoring capability!🎉 It's available to try out now at [**getodin.com**](http://getodin.com).\n\n**About**: With its ability to scan the entire IPv4 space, Odin delivers unprecedented visibility into your external attack surface. 🕵️‍♂️\n\n**Key benefits:**\n\n✔️ Catalogs over 100+ internet-facing services to reveal your complete digital footprint\n\n✔️ Builds a comprehensive inventory of hosts, domains, subdomains, certificates, images and more\n\n✔️ Enables easy discovery of unknown assets, misconfigurations, risks\n\n✔️ Provides continuous monitoring for any changes\n\n✔️ Identifies vulnerabilities before attackers can exploit them ⚠️\n\nBy leveraging Odin's unmatched coverage, organizations gain total visibility and control over their attack surface. 💪\n\nOdin represents a significant breakthrough in empowering teams to proactively secure external assets before threats emerge. 🔒\n\nBy signing up, you can:\n\n✅ Test drive the capabilities\n\n✅ Provide key insights to improve the product\n\n✅ Help shape Odin's future\n\n✅ Access SDK: [**https://github.com/cybledev/odin-sdk-go**](https://github.com/cybledev/odin-sdk-go)\\\n[**https://github.com/cybledev/odin-sdk-python**](https://github.com/cybledev/odin-sdk-python)\n\nWe can't wait for you to be among the first to kick the tires on Odin, and let us know your thoughts. Please sign up and play around with the product. 🙏\n\nAnd if you find Odin useful, we'd really appreciate you sharing it with your network as we gear up for the official launch.🚀\n\nLet us know if you have any questions! Excited to hear what you think.\n\nThank you!\n\nCyble Team ([www.cyble.com](http://www.cyble.com))",
        "url": "https://www.ycombinator.com/launches/JCM-odin-attack-surface-monitoring-and-internet-scanning-for-everyone",
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        "founder_bio": "Ivan is the CEO and Co-Founder of Feroot Security. An Intelligent and automated security testing and run-time protection of the client-side of web applications. It provides an early warning, detection and management of data assets and risks. Feroot Security was awarded a number the NextAI Top Venture Award by NextCanada, 2019 Comet TOP 5 Cybersecurity Startups in Canada by Ingram Micro and Microsoft.\n",
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        "body": "## **TL;DR**\n\nRootly is the AI-native on-call and incident management platform that helps teams detect, manage, learn from, and resolve incidents faster—without leaving Slack or MS Teams. It brings Incident Response, On-Call, AI SRE agents, Status Pages, and Retrospectives into one purpose-built, end-to-end platform.\n\n![uploaded image](/media/?type=post&id=66512&key=user_uploads/642689/d1b534a4-b1f0-444d-b767-aab1d221e1cb)\n\n## **Problem**\n\nWe met at Instacart 🥕—where Quentin was the first SRE and JJ was leading product management efforts. As Instacart grew from a $1B to a $40B company, everything had to scale with it: infrastructure, teams, and the processes that keep the business running when things go wrong. With millions of orders flowing through the platform, incidents weren’t rare edge cases—they were an inevitable part of operating at that level. 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        "id": 88031,
        "title": "Senior Full Stack Software Engineer",
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        "location": "Austin, TX, US / Seattle, WA, US / Remote (US)",
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        "title": "Seattle-area cybersecurity startup led by former Amazon principal engineer lands $3.5M – GeekWire",
        "url": "https://www.geekwire.com/2022/seattle-area-cybersecurity-startup-led-by-former-principal-engineer-lands-3-5m/",
        "date": "Jul 21, 2022"
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      {
        "title": "Strac plugs into Slack, OneDrive and more to automatically redact sensitive info – TechCrunch",
        "url": "https://techcrunch.com/2022/07/19/strac-plugs-into-slack-onedrive-and-more-to-automatically-redact-sensitive-info/",
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        "id": 65668,
        "title": "🔒 Strac Zendesk Redactor",
        "tagline": "Protect Your Zendesk Account & Comply with Privacy Laws!",
        "body": "Hi YC!\n\nI'm [**Aatish**](https://www.linkedin.com/in/aatishmandelecha/) and today we're excited to launch **Strac’s Zendesk Redactor!**\n\n## **Problem 😠**\n\nCustomers post sensitive personal information (PII or PHI) on zendesk tickets for a given business function. Some of the burning reasons on why your Zendesk account needs to be protected:\n\n* **Data Leaks:** All organizations are subject to security attacks. Zendesk is also not immune. In 2016 Zendesk was subject to a [data breach exposing 10,000 Zendesk accounts](https://support.zendesk.com/hc/en-us/articles/4408824583578-Updated-FAQ-regarding-2016-Security-Incident-) where sensitive PII (Personally Identifiable Information) was accessed.\n* **Insider Attacks:** Between 2018 and 2020, there was a [47% increase in insider threat incidents](https://www.tessian.com/blog/insider-threat-statistics/). This includes malicious data exfiltration and accidental data loss.‍\n* **Compliance:** Every day government legislation is passing Consumer Privacy laws geared to protect consumer data from malicious entities. California and Illinois have been the latest to introduce these laws, including a Biometric Information Privacy Act. For many organizations, data can be spread across a wide range of systems, which can be challenging to keep up with Privacy law enactments. It is a nightmare for companies to do manual cleanup of those sensitive messages sitting within your employee's zendesk account as deep inspection is time consuming and error-prone. At the same time, you need to stay compliant and prevent exfiltration of sensitive data.\n\n## **Solution** 🚀\n\nStrac Zendesk App is a Data Loss Prevention (DLP) software. It masks (aka redacts) sensitive comments and attachments while still giving the opportunity to authorized users to view those zendesk tickets in Strac UI Vault. A business can configure a list of sensitive data elements (SSN, DoB, DL, Passport, CC#, Debit Card, API Keys, etc.) to redact. Compliance, Risk and Security officers will get audit reports of who accessed what messages.\n\nBelow is a sample list of sensitive data elements that will be detected & redacted:\n\n* PII: Name, Address, Email, Phone, DoB, Age, Gender, Ethnicity, etc.\n* Identification: Drivers License, Passport, SSN (Social Security Number), etc.\n* Payments: Credit Card, Debit Card, Bank Account, Routing Numbers, etc.\n* Credentials: API Keys, Passwords, Passphrases etc.\n* Crypto Secrets: Bitcoin, Ethereum, Litecoin Addresses, etc.\n* PHI: PII data, Medical Record Number (MRN), Medical Notes, etc.\n* Physical Network: IP Addresses, MAC Address, etc.\n* Custom: Create your own rules or use regex\n\nPlease checkout our demo: <https://youtu.be/pto-VdAsCTs>\n\n### **YC Offer 🎉**\n\n1. FREE Redaction for your entire Zendesk account\n2. Book a Demo on our website: <https://strac.io> ",
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        "date": "Mar 13, 2022"
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        "full_name": "Amir Tarighat",
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        "full_name": "Tyler Carbone",
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        "founder_bio": "Co-Founder at Agency, where we provide personal cybersecurity + coverage. Previous founder Terbium Labs (sold to Deloitte), Evenspring (sold to Timmons Group) and SRRN Games.",
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        "url": "https://techcrunch.com/2023/10/17/reality-defender-raises-15m-to-detect-text-video-and-image-deepfakes/",
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        "body": "It’s been a few years since our[ 2022 YC HackerNews launch](https://news.ycombinator.com/item?id=30766050). We’ve since deployed realtime deepfake detection for tier-one banks, media and governments.\n\nAnd one request kept coming: a **public API** to build deepfake detection into any stack.\n\n# 🙌 **We heard you!**\n\nWe’re psyched to announce our that enterprise-grade deepfake detection **API + SDKs** are now exclusively available to **every YC developer** ahead of our public launch. And we’re **including 50 free scans per month**!\n\n# **🎁 YC Early Access: [https://www.realitydefender.com/api](https://www.realitydefender.com/api)**\n\n![uploaded image](/media/?type=post&id=92611&key=user_uploads/868173/759df5fe-4e52-4f41-b197-7e87a97ca248)\n\n**If your product touches voice or image, our API + SDKs gives it instant protection against:**\n\n* 🎙️ AI-generated voice fraud\n* 👤 Fake identities in IDV/KYC \n* 🗣️ Synthetic identities and media across consumer platforms\n* 🚨 AI-manipulated images fueling disinformation\n\nWe **update and improve our models constantly** to stay ahead of emerging threats and built these API and SDKs with simplicity and transparency in mind.\n\n# **🔥 YC Launch Offer**\n\n* 50 free scans/month for YC Launch devs\n* First 5 devs who integrate get get $250 + RD swag\n* Email us at [hello@realitydefender.com](mailto:hello@realitydefender.com) for high volume access, or to connect with our infra/security leads\n\n# **🔥🔥 Free Access for All Devs:[ ](http://app.realitydefender.ai)[Link To Sign Up](https://www.realitydefender.com/api)**\n\n**API**\n\n* [GitHub](https://github.com/Reality-Defender/sample_scripts) /[ Quick Start Guide](https://docs.realitydefender.com/api-reference/quickstart)\n\n**SDKs**\n\n* Python:[ GitHub](https://github.com/Reality-Defender/realitydefender-sdk-python) /[ PyPI](https://pypi.org/project/realitydefender/)\n* Rust:[ GitHub](https://github.com/Reality-Defender/realitydefender-sdk-rust) /[ Crates](https://crates.io/crates/realitydefender)\n* Java:[ GitHub](https://github.com/Reality-Defender/realitydefender-sdk-java) /[ Maven](https://central.sonatype.com/artifact/ai.realitydefender/realitydefender-sdk)\n* Typescript:[ GitHub](https://github.com/Reality-Defender/realitydefender-sdk-typescript) /[ NPM](https://www.npmjs.com/package/@realitydefender/realitydefender)\n* Go:[ GitHub](https://github.com/Reality-Defender/realitydefender-sdk-go)",
        "url": "https://www.ycombinator.com/launches/O5j-reality-defender-deepfake-detection-with-two-lines-of-code",
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        "created_at": "2025-07-31T17:38:03.899Z"
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        "url": "https://techcrunch.com/2025/10/02/oneleet-raises-33m-to-shake-up-the-world-of-security-compliance/",
        "date": "Oct 02, 2025"
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        "id": 84326,
        "title": "Oneleet - Compliance without Security Theater",
        "tagline": "The all-in-one Security and Compliance platform for SOC 2, ISO, HIPAA, and more.",
        "body": "![uploaded image](/media/?type=post&id=84326&key=user_uploads/233375/6e14f2e5-0ed9-4b12-98f8-e194071f08d4)\n\n# **What is Oneleet in a nutshell?**\n\n[Oneleet](https://www.oneleet.com/) helps companies build genuine security and achieve compliance without the usual security theater BS.\n\nWe provide a comprehensive all-in-one solution for SOC 2, ISO 27001, HIPAA, GDPR, & PCI compliance, including automation, penetration testing, audit support, and continuous monitoring.\n\nOur hands-on approach and in-house security expertise have quickly made us the #1 choice for compliance in the YC community.\n\n[Book a call with us if you’re in the market for compliance](https://calendly.com/d/cwr7-ztb-xxq/oneleet-introduction?preview_source=et_card)\n\nㅤ\n\n# **Why We Built Oneleet**\n\nHey! I’m Bryan Onel, the CEO of Oneleet. I co-founded Oneleet with my wife, Ora Onel, and my best friend, Erik Vogelzang, with one mission: to help startups build genuine security without the nonsense.\n\nAfter spending a decade as a penetration tester and security program manager, I grew frustrated with platforms that claimed to help with compliance but were really just about ticking boxes. They weren't helping businesses _become_ secure—they were just pretending.\n\nThat’s why we built Oneleet: to be the solution that truly focuses on security, not just compliance theater.\n\nㅤ\n\n# **The Problem**\n\nLet's be honest… most compliance platforms are all about security theater:\n\n* Ticking boxes instead of building actual security, making you waste time on useless things that are irrelevant to security\n* Dumping checklists on you and wishing you good luck\n* Making you juggle countless tools and vendors\n* Leaving you to deal with external auditors who don't understand real security\n* Hitting you with unpredictable pricing that keeps changing\n\nㅤ\n\n# **Our Solution**\n\n![uploaded image](/media/?type=post&id=84326&key=user_uploads/233375/e8d1a05a-7731-463b-97f6-6dad7407b58e)\n\nOneleet is here to change the game:\n\n* We build real-world security controls that actually protect your business\n* We take ownership of the entire process, from start to finish\n* We provide everything you need in one place, no vendor juggling required. Even code scanning and attack surface management are built in\n* We deal with external auditors, so you don't have to, speaking their language when needed\n* We act as an extension of your team, providing ongoing expert security help\n\nㅤ\n\n# **How It Works**\n\n1. **Scoping** – We assess your infrastructure, security concerns, and compliance needs\n2. **Custom Program** – We craft security that fits your size and needs\n3. **Expert Setup** – Our team of security and compliance experts guides you through implementation minus the jargon\n4. **Penetration Testing** – OSCE-certified experts find your weak spots\n5. **Compliance Automation** – We streamline SOC 2, ISO 27001, HIPAA, and more\n6. **Auditor Wrangling** – We battle incompetent external auditors so you don't have to\n7. **24/7 Protection** – Continuous monitoring keeps you secure, always\n\nㅤ\n\n# **What We Offer**\n\n![uploaded image](/media/?type=post&id=84326&key=user_uploads/233375/ddd8e80c-171f-45c2-a7bb-ce6baba122f5)\n\n* Compliance automation that actually works (SOC 2, ISO 27001, HIPAA, GDPR, & PCI)\n* OSCE-certified penetration testing\n* Third-party auditing with external auditors who get security\n* vCISO services\n* Employee Portal\n* Code security scanning\n* Attack surface monitoring\n* Mobile Device Management (MDM)\n\nㅤ\n\n## **Ready to Ditch Security Theater?**\n\nIf you're tired of pretending to be secure and want the real deal:\n\n* Book a call: https://calendly.com/d/cwr7-ztb-xxq/oneleet-introduction\n* Email us: [founders@oneleet.com](mailto:founders@oneleet.com)\n\nStuck with another platform? We can often help you get out of a contract and migrate everything to Oneleet. [Book a call with us to explore your options.](https://calendly.com/d/cwr7-ztb-xxq/oneleet-introduction)",
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        "full_name": "Mathias Nestler",
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        "title": "AccessOwl - SaaS Spend Management",
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        "body": "**tl;dr** AccessOwl SaaS Spend management is your single pane of glass across all your SaaS apps, allowing you to keep track, manage, and reduce your SaaS costs.\n\n![uploaded image](/media/?type=post&id=85154&key=user_uploads/165231/fc45f909-ef8a-4412-bf4f-35dbf1c1b8a5)\n\n**The Problem**\n\nWith SaaS apps multiplying across teams, budgets spiral due to overlooked renewals and unused licenses. Manual tracking via spreadsheets is inefficient, leading to hidden costs and wasted resources for finance and IT teams.\n\n**The Solution**\n\n**AccessOwl SaaS Spend Management** offers real-time cost visibility and centralized tracking to streamline SaaS management. By automating renewal alerts and usage insights, it empowers companies to cut waste and control SaaS spend efficiently.\n\n![uploaded image](/media/?type=post&id=85154&key=user_uploads/165231/594c73b0-0c58-4484-874e-c06f9d5f5f81)\n\n**Key Features**\n\n• **Cost Transparency on Access Requests**: Employees can now see the price tag on every seat and license before adding new software, keeping budgets on track from the start.\n\n• **Centralized Cost Tracking**: Filter SaaS costs by department, team, or individual employee. Get clear insights without the usual hassle of piecing together spreadsheets.\n\n• **Renewal Calendar**: Never miss a renewal or an opportunity to negotiate. The renewal calendar and usage insights help teams optimize spend, avoiding the waste of unused or forgotten subscriptions.\n\n• **Automatic Usage Tracking**: AccessOwl automatically tracks usage and flags unused accounts so you can cut out the fat and make every dollar count.\n\n![uploaded image](/media/?type=post&id=85154&key=user_uploads/165231/5203a6b2-3e37-4441-9a66-726230261a02)\n\n**Uncover all of your SaaS apps first**\n\nThe [free Shadow IT scan](https://www.accessowl.com/scan) gives you a quick and easy overview of every SaaS app that’s used within your organization.\n\n**🚀 Getting started with tracking, managing, and reducing SaaS spend**\n\nVisit [AccessOwl.com](http://AccessOwl.com) to learn more, or book a demo [here](https://calendly.com/d/dyj-q7w-qmb/accessowl-demo).",
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        "created_at": "2024-10-30T18:56:16.804Z"
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        "title": "AccessOwl: Discover every hidden SaaS app and their users",
        "tagline": "🔍 Losing track of your SaaS apps? Uncover your Shadow IT with a single-click",
        "body": "Losing track of who has access to which apps is a nightmare. In [**Mathias Nestler**](https://www.linkedin.com/in/mathias-nestler-a8436044/) and my previous roles as CTO, COO, and CEO, the problem usually came up in one of three ways:\n\n1. **Missed Employee Offboardings:** If I don’t know which apps the employee used, it’s impossible to fully offboard them. There’s nothing worse than finding out an employee who left for your competition still has access to company data.\n2. **Failing Compliance:** The first question an auditor will ask is what systems you use. Knowing where your company data lives is at the core of any audit.\n3. **Unwanted Costs:** It sucks to find out that you pay for multiple apps that essentially do the same. You can only keep your team accountable if you know what they use.\n\nIn the world of IT administration this challenge is called ‘Shadow IT' - apps you are not aware being used by your team.\n\nHistorically, the only options have been to repeatedly ask employees to fill out a Gsheet with any apps they remember using or to manually search through Google Workspace OAuth logs.\n\n**Here’s a better option:** [**Uncover all SaaS apps and their users in a single click!**](https://www.accessowl.io/scan)\n\n![](https://bookface.ycombinator.com/media/?type=post&id=81875&key=user_uploads/165231/04941cdd-2f76-4b0c-b7f4-e44d0b1a41d1)\n\n[**Scan now!**](https://www.accessowl.io/scan)\n\n_The Shadow IT scanner will find any SaaS app your employees use in combination with Google or Microsoft sign-in._\n\n### FAQ\n\n> **Why do you offer this for free?**\n\nKnowing who has access to what should be the standard for all of us. We want to bring attention to the need to manage your access proactively, which is why we decided to offer a part of our product for free.\n\n> **How does it work?**\n\nAccessOwl reads your organization’s OAuth logs and matches them with our SaaS database. As a result, you’ll see which apps have been used and by whom.\n\n> **What if a user signed up with email/password and didn’t use ‘Sign in with Google/Microsoft’?**\n\nThis feature is not currently part of the free scan. However, our core product offers advanced Shadow IT detection, which includes checking for invitation emails.\n\n> **Is this safe to use?**\n\nYes, reading OAuth logs is common practice for SaaS management vendors. The data is only extracted when you actively request a scan. AccessOwl is SOC 2 Type II audited and GDPR compliant.\n\n[**Start your Shadow IT scan now!**](https://www.accessowl.io/scan)\n\nSurprised by the results? [_Book a free 1:1 consultation_](https://calendly.com/accessowl/30m) _with one of the AccessOwl founders to learn about best practices for keeping track of user access!_",
        "url": "https://www.ycombinator.com/launches/LIZ-accessowl-discover-every-hidden-saas-app-and-their-users",
        "votes": 19,
        "created_at": "2024-07-03T15:20:28.896Z"
      },
      {
        "id": 64758,
        "title": "AccessOwl: Automate SaaS access for your employees",
        "tagline": "SaaS account provisioning and permissioning for your workforce. Save 30 minutes on every access request.",
        "body": "**tl;dr AccessOwl automates how your employees receive access to SaaS tools. Provision any tool, no matter what API is available. IT teams from companies like Zeplin save 30 minutes on every access request.**\n\n## **📜 The Story**\n\nManually creating software accounts, documenting it in Gsheets and rushing through dozens of tools with every offboarding. Those are struggles we faced time over time when building prior startups. Available solutions only cover a fraction of the tools and require expensive upgrades to enterprise-subscriptions ([SSO.Tax](http://SSO.Tax)). That’s why we built an easy-to-use tool with a Slack-UI that every employee knows how to work with and bundled it with unmatched provisioning capabilities (hundreds of apps!).\n\n![uploaded image](/media/?type=post&id=64758&key=user_uploads/165231/b1769bda-60e3-4cf9-9085-59489077abd7)\n\n## **❌ The Problem**\n\n1. **30 minutes wasted for every Access Request**: Your workforce needs to request, approve, provision, communicate & document for every single access request\n2. **Enterprise subscriptions needed**: Other solutions only work with specific APIs (SCIM/SAML) for which the highest enterprise subscription is needed (”SSO Tax”).\n3. **Compliance & Security**: Documenting who has access to what is a manual and tedious process that never is 100% accurate\n\n## **✨ The Solution**\n\n1. **Automated workflows in Slack**: On- & Offboardings, Access Requests and Approvals all handled directly in Slack. Stop the JIRA ticket-flood - saving your workforce time and nerves.\n2. **Provisioning & Permissioning**: AccessOwl is the future of Access Management. It handles all account changes (creation, deletion, updates) for all SaaS applications. The best: It works no matter what API is available.\n3. **Stay SOX, SOC2, HiPAA, ISO27001 compliant:** Full Audit-trail about who has access to what and ability to schedule recurring Access Reviews.\n\n![uploaded image](/media/?type=post&id=64758&key=user_uploads/165231/22da2853-f0c9-4beb-afd3-0d940596e675)\n\n## ⚡ **How it Works**\n\n1. **Install it in Slack:** Give your employees access in one single click\n2. **App Discovery & Sync**: Let AccessOwl discover all applications used by your team by connecting to your Google Workspace\n3. **Start (De)Provisioning**: Have AccessOwl automate all of your provisioning and deprovisioning tasks\n\n## 🌐 **Integrations**\n\nAccessOwl already works with over 100+ applications. Let us know which are the most relevant to you!\n\n![uploaded image](/media/?type=post&id=64758&key=user_uploads/165231/f9b7f249-5d53-42db-b35e-672c9f09eacc)\n\n### **Try out AccessOwl 7-days for free** or [book a demo with us](https://calendly.com/accessowl/accessowl-demo)",
        "url": "https://www.ycombinator.com/launches/GqU-accessowl-automate-saas-access-for-your-employees",
        "votes": 38,
        "created_at": "2022-07-20T13:07:22.390Z"
      }
    ]
  },
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    "id": 27664,
    "name": "Infisical",
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    "website": "https://infisical.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Infisical is the all-in-one security infrastructure platform for secrets, certificates, and privileged access management.\r\n\r\nInfisical stores your secrets and injects them back into your development workflow, CI/CD pipelines, and cloud infrastructure. It comes with secrets versioning, point-in-time recovery, audit logging, automatic secret rotation capabilities, and more.",
    "one_liner": "Security infrastructure for developers and agents",
    "team_size": 70,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
    "launched_at": 1674066953,
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      "name": "Diana Hu",
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        "full_name": "Vlad Matsiiako",
        "title": "Founder",
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        "linkedin_url": "https://www.linkedin.com/in/vmatsiiako/",
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      {
        "user_id": 1017557,
        "full_name": "Tony Dang",
        "title": "Founder",
        "founder_bio": "Co-founder of Infisical",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/tuan-d-a104a6125/",
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      },
      {
        "user_id": 1191187,
        "full_name": "Maidul Islam",
        "title": "Founder",
        "founder_bio": "",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/maidul98/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8aa9292f4de23b8453f0af5a125d55f417ec23e0.jpg"
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        "id": 77875,
        "title": "Full Stack Engineer",
        "url": "https://www.ycombinator.com/companies/infisical/jobs/Bf7eGmW-full-stack-engineer",
        "location": "San Francisco, CA, US / Remote (US; CA; PA; AR; BR; BO; UY; CL; EC; CO; HN; VE; PY; MX; NI; PE; CR; SV; GT; DO; CU; PR; HT; GF; AG; LC; GY; SR; MQ; GP; BL)",
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        "salary_range": "$100K - $180K",
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        "title": "Senior Full Stack Engineer ",
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        "location": "San Francisco, CA, US / Remote (US; CA)",
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        "location": "San Francisco, CA, US / Remote (US; CA)",
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        "role_type": "Brand/graphic design",
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        "title": "Enterprise Account Executive ",
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        "location": "New York, NY, US / Seattle, WA, US / Chicago, IL, US / Boston, MA, US / San Francisco, CA, US / Remote (New York, NY, US; Seattle, WA, US; Chicago, IL, US; Boston, MA, US; San Francisco, CA, US)",
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        "title": "Solutions Engineer",
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        "location": "New York, NY, US / Austin, TX, US / Atlanta, GA, US / Raleigh, NC, US / Washington, DC, US / Boston, MA, US / Remote (New York, NY, US; Austin, TX, US; Atlanta, GA, US; Raleigh, NC, US; Washington, DC, US; Boston, MA, US)",
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    "news": [
      {
        "title": "Infisical: The Open Source Security Stack",
        "url": "https://www.youtube.com/watch?v=qDumDlXcMkg",
        "date": "Jun 06, 2025"
      },
      {
        "title": "Infisical raises $16 million Series A led by Elad Gil to safeguard secrets | Fortune",
        "url": "https://fortune.com/2025/06/06/infisical-raises-16-million-series-a-led-by-elad-gil-to-safeguard-secrets/",
        "date": "Jun 06, 2025"
      },
      {
        "title": "Google's Gradient backs YC alum Infisical to solve secret sprawl | TechCrunch",
        "url": "https://techcrunch.com/2023/07/03/googles-gradient-backs-yc-alum-infisical-to-solve-secret-sprawl/",
        "date": "Jul 03, 2023"
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    ],
    "launches": [
      {
        "id": 69599,
        "title": "💚 Infisical - The open source secrets manager for developers",
        "tagline": "Open source, end-to-end encrypted tool that lets you securely sync secrets and configs across your team, devices, and infrastructure",
        "body": "Hey there, this is team Infisical 🏂\n\n[Infisical](https://infisical.com/) is an open-source, end-to-end encrypted platform for developers to centralize their application secrets and configs, and sync them across their whole development life cycle.\n\nWe launched 3 months ago, and already have 4.2K+ stars on GitHub, 50 contributors, and 220+ community members 🚀\n\n![uploaded image](/media/?type=post&id=69599&key=user_uploads/942802/00941739-4c42-44c8-92e8-e8fc55f7cb1b)\n\n\n**Imagine this**: You add a new environment variable to your team’s codebase, push it up to GitHub, and head out for dinner. Shortly after, your teammate pulls the latest changes and everything crashes because they're missing that variable.\n\nYou come back to angry messages from your teammate and quickly send them the variable over text, risking a security vulnerability. Everything seems to be working until the next day when you deploy to production, and once again, everything crashes because you forgot to add the environment variable to the production environment.\n\nSounds relatable?\n\n![uploaded image](/media/?type=post&id=69599&key=user_uploads/942802/d8e6a881-8412-4baf-8f54-b8defb0ecd46)\n\n\n## **Problem**\n\nSecrets play a critical role in every stage of the software development lifecycle, from local development to staging, testing, and production. Even so, teams routinely run into challenges dealing with secret management:\n\n* **Missing secrets across infrastructure**: Having secrets sprawled across infrastructure with no central visibility and control often leads to missing secrets. In turn, applications crash in production and developers lose precious time debugging what’s missing.\n* **Leaking secrets to source control**: Even the biggest companies accidentally expose hardcoded secrets and .env files. When it happens, the consequences are grave.\n* **Lacking self-hosted alternatives**: Many great solutions are not self-hostable or end-to-end encrypted, a challenge for companies requiring it. In a world where security and privacy are increasingly paramount, having these options are essential.\n\n## **Solution**\n\nInfisical provides an open-source, end-to-end encrypted platform for developers to manage their application secrets and sync them across their team and software development lifecycle.\n\nWith Infisical, you can:\n\n* **Securely store and deliver** application secrets to your infrastructure with integrations available for Docker, Kubernetes, AWS, Vercel, GitHub Actions, etc.\n* **Inject secrets** into applications instead of using .env files that often get leaked.\n* **Self-host** Infisical on your own infrastructure.\n* **Enhance observability** of secrets and teammates with secret versioning, rollbacks, and audit logs for every action taken.\n\n![uploaded image](/media/?type=post&id=69599&key=user_uploads/942802/afe74cca-1292-4f25-b0d5-03ae9fc21327)\n\n\n## **Asks**\n\n* Check out Infisical at <https://infisical.com>\n* Contact [tony@infisical.com](mailto:tony@infisical.com) if your company needs help with secret management\n* Intros to companies that in your experience may benefit from Infisical",
        "url": "https://www.ycombinator.com/launches/I6Z-infisical-the-open-source-secrets-manager-for-developers",
        "votes": 58,
        "created_at": "2023-02-23T15:39:57.107Z"
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    "id": 27672,
    "name": "Blyss",
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    "website": "https://blyss.dev/",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "Blyss is an AI model provider built on strong security guarantees. We run AI workloads in GPU-based secure enclaves, which keep data encrypted even while it's being processed. Our customers get a privacy model similar to on-premises deployment, without ever having to think about AI infrastructure or GPU supply.  \r\n\r\nThe Blyss team has strong experience in cryptography and AI from Stanford, Apple, Nvidia, and more. We think data privacy is fundamental to safe, trustworthy AI, so it's our job to make end-to-end encrypted AI a no-compromise option - just like Signal and WhatsApp did for messaging.",
    "one_liner": "End-to-end encrypted AI.",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
    "launched_at": 1677026433,
    "tags": [
      "Security",
      "Privacy",
      "AI"
    ],
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    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Inactive",
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    ],
    "regions": [
      "United States of America",
      "America / Canada",
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      "Fully Remote"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/blyss",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/blyss.json",
    "year_founded": 2022,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/blyssprivacy/",
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    "github_url": "https://github.com/blyssprivacy",
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    "primary_partner": {
      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
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    "founders": [
      {
        "user_id": 175680,
        "full_name": "Samir Menon",
        "title": "Founder",
        "founder_bio": "Worked at Yubico. Wrote ia.cr/2022/368. Stanford CS '19 BS + MS.",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/samir-menon-27954214b/",
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      },
      {
        "user_id": 75138,
        "full_name": "Neil Movva",
        "title": "Founder",
        "founder_bio": "I've spent my whole career making computers go fast, especially for deep learning. I love large scale compute and care deeply about democratizing this power.\n\nPreviously, I worked on the Apple Neural Engine, and NVIDIA's cuDNN. Stanford '19, BS and MS in EE.",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/nmovva/",
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    "launches": [
      {
        "id": 69550,
        "title": "Blyss - the SDK for privacy.",
        "tagline": "We make it easy to use and deploy homomorphic encryption.",
        "body": "## **TLDR:** Homomorphic encryption offers much stronger privacy guarantees than anyone thought possible. Blyss is the future of privacy, available today as a [developer-focused API](https://blyss.dev/).\n\nWe are Samir and Neil, the founders of Blyss.\n\n![uploaded image](/media/?type=post&id=69550&key=user_uploads/75138/64e460e5-9627-4f23-b3ec-57be1d24ac9e)\n\n## 😧 Problem: outside of FAANG, privacy is stuck in the ‘90s🕺\n\nPrivacy is a competitive advantage. There’s a billboard on the 101 explaining how WhatsApp can’t read your messages, millions of consumers use VPNs to secure their everyday browsing, and Apple doesn’t finish a keynote without touting new, frontier-pushing privacy practices. \n\nBut unless you’re at big tech, the most powerful new privacy tools are almost completely inaccessible. Chrome and Edge use homomorphic encryption to scan unsafe URLs and check passwords, but a startup wanting to offer similar features would need a team of PhDs to build them in-house.\n\n## 🛠️ Our solution: cutting-edge privacy, as a service\n\nThe [Blyss SDK](https://blyss.dev/) offers developers a key-value store with unusually strong privacy guarantees. Create S3-like buckets, fill them with data, and then make cryptographically secure retrievals. No entity, not even the Blyss service itself, can learn which items are retrieved from a Blyss bucket.\n\nPrivate retrieval is a simple but powerful new primitive. Using it,\n\n* Password managers can check if you’ve been exposed in a data breach, without learning anything about your passwords\n* Browsers can resolve domain names privately, without revealing every website you visit to DNS servers\n* Code scanners can safely check repos for vulnerabilities, without ever seeing customer codebases or the scan results\n\nPeople are building lots of new web apps with Blyss - try some of the best ones at the [Blyss playground](https://playground.blyss.dev)!\n\n# 🙇 The ask\n\n## 🧑‍💻 Developers:\n\nTry [our SDK](https://blyss.dev/) - it’s a self-serve, cloud storage service (feels just like S3), that transparently handles encryption and privacy for you. And if it isn’t quite clear how to fit privacy into your app, we’ll help you!\n\n## 🕵️ Privacy-conscious users:\n\nTell us about apps/services that feel icky because they collect too much data. It may not be obvious how to fix them, but your gut feelings on privacy are super valuable to us.\n\n## 🕴️ Bonus:\n\nIf you know companies that are trying to make privacy their competitive advantage (password managers, VPNs, etc), introduce us ([founders@blyss.dev](mailto:founders@blyss.dev))!\n\n## 👯 About us\n\nWe met eight years ago on Day 1 of freshman year at Stanford; we’ve been best friends since. Neil was previously at Apple working on ML; Samir worked at Yubico on applied security, and before that did research on homomorphic encryption with Dan Boneh. We [published](https://eprint.iacr.org/2022/368) the fastest-ever scheme for private retrieval at a top cryptography conference (Oakland). Now, we’re working to make advanced privacy technology available to everyone.",
        "url": "https://www.ycombinator.com/launches/I5m-blyss-the-sdk-for-privacy",
        "votes": 31,
        "created_at": "2023-02-22T17:37:27.725Z"
      }
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    "id": 27809,
    "name": "EdgeBit",
    "slug": "edgebit",
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    "website": "https://edgebit.io",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "EdgeBit was acquired by FOSSA in July 2025: https://fossa.com/blog/fossa-acquires-edgebit/\r\n\r\nEdgeBit enables engineering teams to ship security updates 10x faster with confidence by automating dependency update analysis. Our platform turns weeks of manual review into minutes, helping teams find and fix security vulnerabilities while maintaining a secure, up-to-date software supply chain without compromising productivity.",
    "one_liner": "Autofix your software dependencies",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
    "launched_at": 1672965227,
    "tags": [
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Acquired",
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    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/edgebit",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/edgebit.json",
    "year_founded": 2022,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/edgebit/",
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    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
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    "founders": [
      {
        "user_id": 230598,
        "full_name": "Rob Szumski",
        "title": "Founder",
        "founder_bio": "Rob Szumski is CEO and co-founder of EdgeBit, the security platform that secures your software supply chain by focusing on code that is actually running. EdgeBit simplifies vulnerability management as it cuts through noise that distracts engineers merging code.\n\nRob was an early employee of CoreOS (YC S13) which popularized the immutable operating system and propelled Kubernetes/container tech into the mainstream. CoreOS was acquired by Red Hat in 2018, where Rob was a Director of Product.",
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        "linkedin_url": "https://www.linkedin.com/in/robszumski/",
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      },
      {
        "user_id": 5721,
        "full_name": "Eugene Yakubovich",
        "title": "Founder",
        "founder_bio": "Eugene is a long time hacker who likes to work at the application / operating systems boundary. In the past, he designed the foundational layers for high-frequency trading, contributed to the container runtimes, and implemented graph algorithms for continent size road networks.\n\nLately he has been on a mission to secure workloads and in 2022 he teamed up with Rob and Russell to tackle the problem, starting with fixing the vulnerability fire hose.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/eugene-yakubovich-4640604/",
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    "jobs": [],
    "news": [
      {
        "title": "FOSSA Acquires EdgeBit: From Scanning to Updating",
        "url": "https://fossa.com/blog/fossa-acquires-edgebit/",
        "date": "Sep 28, 2025"
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    "launches": [
      {
        "id": 69144,
        "title": "EdgeBit - Secure your software supply chain",
        "tagline": "Supply chain analysis that eliminates noise in vulnerability response",
        "body": "tl;dr: [EdgeBit](https://edgebit.io) automatically inventories software dependencies, ensures they are trusted, and monitors vulnerabilities – securing your software supply chain. For security teams, we help you meet new compliance requirements about the libraries and packages in your products. For engineers, we make vulnerability investigation/patching streamlined, so you can get back to writing code.\n\nHi everyone, we are Rob, Russell and Eugene, the team behind [EdgeBit](https://edgebit.io).\n\nWe’re on a mission to make software secure by default. EdgeBit deeply understands how your app is built, what makes it up and how it’s running. That knowledge builds up trust to make developers lives easier, and your entire server fleet more secure.\n\n![uploaded image](/media/?type=post&id=69144&key=user_uploads/230598/b3341e0d-c53a-49b4-a31a-c5d9a5fa6c8c)\n\nLeft - [Eugene](https://www.linkedin.com/in/eugene-yakubovich-4640604/) - Chief Architect and low level hacker. He worked on pathfinding algorithms at Lyft, container networking at CoreOS and performance optimization in his high frequency trading days.\n\nCenter - [Rob](https://www.linkedin.com/in/robszumski/) - CEO and product leader. He was a Director of Product at Red Hat working on the OpenShift/Kubernetes platform after their acquisition of CoreOS (YC S13).\n\nRight - [Russell](https://www.linkedin.com/in/russellhaering/) - CTO and master of backend systems. He ran security engineering at Okta after their acquisition of ScaleFT, the zero trust access management startup he cofounded.\n\n## The Problem: securing software still feels like throwing problems over a wall\n\nSecurity teams have important work to do – meeting a maze of compliance rules against a constantly moving target of dependencies, frameworks and deployment platforms. Automation is key, but security teams aren’t experts in each app, so “open a ticket for any vulnerability found” is a typical workflow. This is a firehose for app teams, and tickets don’t contain the context needed for a speedy investigation.\n\n![uploaded image](/media/?type=post&id=69144&key=user_uploads/230598/201aef87-ad12-4842-9b9d-f423f8ccd315)\n\nLooking beyond compliance, real attacks are happening via software dependencies. For a single library, it’s tricky to securely download, integrate, sign and verify it…and very hard for 100s of dependencies across multiple apps. An enterprise can use [40,000 open-source software packages](https://www.theregister.com/2023/02/05/supply_chain_security_efforts/) each bringing another 77 dependencies.\n\nAn end-to-end system across the build→scan→run→monitor is required to stop these attacks. Dependencies are fragmented across OS packages, standalone binaries and containers, but a single view across all is required to understand the full attack surface.\n\n## EdgeBit: Map your supply chain from build to production in real time\n\n![uploaded image](/media/?type=post&id=69144&key=user_uploads/230598/9872f16b-3980-4c64-bf6f-fe47a5f82262)\n\nEdgeBit builds up context and trust by observing your software from build until deployment to your server fleet. How does it work? Install EdgeBit into your build pipeline and your server fleet/Kubernetes cluster via a tiny agent to immediately enable teams to bring vulnerabilities under control:\n\n* Security: track workload signatures, provenance and prevent malicious modification\n* Compliance: build a real time inventory tracked back to the software’s bill of materials (SBOM)\n* Engineering: prioritize vulnerability investigation based on deep context\n* Enterprises: track patching across teams. The next log4j will come, and it’s a huge endeavor without real time inventory across all tech stacks and packaging formats.\n\n## Try out EdgeBit\n\nSecurity teams can [install EdgeBit](https://edgebit.io) to track their supply chain and even help compliance managers do their job without getting engineering involved. Remove frustration from your vulnerability response program by connecting your teams together and take control back from noisy scanners.\n\nSecuring supply chains is just a step in our journey. Using trust profiles between systems is key to a zero trust security posture. We’d love to chat with you about acute compliance needs or long term security goals of your organization.",
        "url": "https://www.ycombinator.com/launches/HzE-edgebit-secure-your-software-supply-chain",
        "votes": 23,
        "created_at": "2023-02-08T20:44:58.421Z"
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    "id": 28216,
    "name": "Escape",
    "slug": "escape",
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      "Escape",
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    "website": "https://escape.tech",
    "all_locations": "Paris, Île-de-France, France",
    "long_description": "Replace legacy scanners and manual offensive security processes with AI agents that discover, test, and remediate directly in your engineering workflows.",
    "one_liner": "Offensive security for the teams that are 100x outnumbered",
    "team_size": 29,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
    "launched_at": 1674779031,
    "tags": [
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      "Security",
      "API",
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
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    "regions": [
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    "stage": "Growth",
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    "url": "https://www.ycombinator.com/companies/escape",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/escape.json",
    "year_founded": 2020,
    "city": "Paris",
    "country": "FR",
    "linkedin_url": "https://www.linkedin.com/company/escapetech",
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    "github_url": "https://github.com/Escape-Technologies/",
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      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
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        "full_name": "Tristan Kalos",
        "title": "Founder",
        "founder_bio": "Building Escape (YC W23) to help AppSec and Engineering teams secure their Single Page Apps, APIs, and Microservices. Previously ML engineer at source{d} and researcher at UC Berkeley. Passionate about solving complex business problems with creative technology or user experiences. ",
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        "linkedin_url": "https://linkedin.com/in/tkalos",
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      {
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        "full_name": "Antoine Carossio",
        "title": "Founder",
        "founder_bio": "🇫🇷 • Engineer • UC Berkeley • Apple",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/acarossio",
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        "title": "Head of Sales ",
        "url": "https://www.ycombinator.com/companies/escape/jobs/yfEXoM2-head-of-sales",
        "location": "New York, NY, US / Remote (US)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$200K - $400K",
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        "experience": "6+ years",
        "visa": "US citizen/visa only",
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    ],
    "news": [
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        "title": "Escape raises $18M Series A to replace legacy scanners with AI agent-driven discovery, pentesting, and remediation",
        "url": "https://escape.tech/blog/escape-raises-18m-series-a/",
        "date": "Mar 09, 2026"
      },
      {
        "title": "New Security Research: We discovered over 2k high-impact vulnerabilities and PII in apps built with vibe coding platforms",
        "url": "https://escape.tech/blog/methodology-how-we-discovered-vulnerabilities-apps-built-with-vibe-coding/",
        "date": "Oct 29, 2025"
      },
      {
        "title": "Meet Escape Copilot: Automate App and Scan Management via MCP",
        "url": "https://escape.tech/blog/meet-escape-copilot-automate-app-and-scan-management-via-mcp/",
        "date": "Jun 05, 2025"
      },
      {
        "title": "Escape DAST Now in Beta: Front-End & SPA Testing Made Easy",
        "url": "https://escape.tech/blog/front-end-dast-beta/",
        "date": "Dec 10, 2024"
      },
      {
        "title": "Fortune 1000 at risk: How we discovered 100k vulnerabilities",
        "url": "https://escape.tech/blog/fortune-1000-at-risk-30k-exposed-apis-100k-vulnerabilities/",
        "date": "Nov 20, 2024"
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    "launches": [
      {
        "id": 69497,
        "title": "🛡 Escape - Secure your GraphQL APIs",
        "tagline": "We help companies create Fast, Secure, and Reliable GraphQL APIs",
        "body": "### **tl;dr:** **Securing GraphQL is hard.** Escape makes it easy for developers to build secure and reliable GraphQL APIs. **You can test it for free and get your results in seconds** using this link: <https://app.escape.tech/ycw23>\n\nHello everyone, we are Antoine and Tristan, the founding team behind Escape.\n\n![uploaded image](/media/?type=post&id=69497&key=user_uploads/1231138/4111cf07-557b-4da5-ad36-d2336aa3913a)\n\n🧠 **Tristan** (left) previously worked as a **GraphQL Developer** and experienced himself the need for better tooling in this ecosystem. 💪 **Antoine** (right) previously worked as a security engineer for the French Government and **Apple** 🍎 which led him to the journey of helping developers secure their code.\n\n### 🛡 Why are we building Escape?\n\nGraphQL has seen exponential growth in the past years and is now used by 20% of all developers. Companies like **Paypal**, **Walmart**, **Twitter**, and **Airbnb** are now all relying on GraphQL APIs for **their** **core businesses**.\n\nYet, we observed that most - as in like **95%** - of GraphQL APIs that exist today are insanely vulnerable to cyberattacks.\n\nThe reason is simple: GraphQL has an entirely different structure than traditional APIs like REST.\n\nExisting security tools do not support it, leaving GraphQL developers and organizations completely blind to the security of what they release and **putting their business at risk**.\n\n### 🎯 Our solution\n\nWe aimed to build the GraphQL Security Testing tool that devs would love. As developers ourselves, we think such a tool would\n\n*  _be_ **fast to run in CI/CD**\n*  _be super_ **easy to set up** and maintain\n*  _give_ **relevant results**\n\nExisting tools fail at achieving the latter because they rely on brute-forcing API requests. Thus, most requests are blocked at the validation layer, failing to test the actual code.\n\nAt Escape, **we developed a new approach called _feedback-driven API exploration_**. We crafted a graph traversal algorithm that learns from the API's responses how to generate requests that actually make sense from a business standpoint.\n\n![uploaded image](/media/?type=post&id=69497&key=user_uploads/1231138/4d4ffbf4-e5af-46b9-927d-904530700300)\n\n_Requests generated by bruteforce (left) vs. **Escape’s feedback-driven exploration** (right)_\n\nUsing this technique, we are able to pass the validation layer and test the code of the application at a deeper level than previous solutions. So far, we have achieved **more than 80% coverage** in most applications without fine-tuning.\n\n### 🚀 let us assess the security of your GraphQL API for free in seconds\n\nIn only 6 months, we partnered with **Snyk** and **Postman**, got into the GraphQL foundation, and worked with companies like **Neo4j** and **ArangoDB**.\n\n👉 If you are using GraphQL yourself, you are welcome to try our platform and **get your application's security report for free**, as **we unlocked all the features for the YC community**: <https://app.escape.tech/ycw23>!",
        "url": "https://www.ycombinator.com/launches/I4v-escape-secure-your-graphql-apis",
        "votes": 1096,
        "created_at": "2023-02-21T19:45:54.930Z"
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    "id": 28778,
    "name": "Xeol",
    "slug": "xeol",
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    "website": "https://www.xeol.io/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Pronounced Zee-O-L. \r\n\r\nEnd-of-life (EOL) and outdated software are a black box of vulnerabilities with very limited remediation paths. These 2 factors combine to make managing them a necessary proactive practice. Xeol enables enterprises and Fortune 500s to create a proactive EOL management program that directly contributes to better vulnerability management and lower cyber insurance. ",
    "one_liner": "Close your outdated dependency attack vector",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
    "launched_at": 1689618282,
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      "Cybersecurity",
      "AI"
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Acquired",
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    "regions": [
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      "America / Canada"
    ],
    "stage": "Early",
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    "year_founded": 2023,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/xeol",
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      {
        "user_id": 1279127,
        "full_name": "ShiHan Wan",
        "title": "Founder",
        "founder_bio": "CEO @ Xeol. Backend Engineer.\n\nPreviously helped build 2 startups from early to 🦄, now doing that for Xeol.\n\n",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/shihanwan",
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    "news": [
      {
        "title": "🎉 Announcing our $3.2M Seed Round!",
        "url": "https://www.xeol.io/post/announcing-our-3-2m-seed-round",
        "date": "Dec 12, 2023"
      }
    ],
    "launches": [
      {
        "id": 80578,
        "title": "bumpgen - keep your code up-to-date with AI",
        "tagline": "Open source tool to generate code fixes for breaking changes",
        "body": "![uploaded image](/media/?type=post&id=80578&key=user_uploads/89898/e210f386-2345-4c2e-ba0a-6133d756141a)\n\n[**bumpgen**](https://github.com/xeol-io/bumpgen) generates fixes for breaking changes in version upgrades with AI\n\n* 🧑🏼‍💻 `bumpgen <package> <new-version>` to get fixes to your version bump breaking changes\n* 🔑 Bring your own **OpenAI API key**\n* 🌐 Supports **Typescript** codebases\n\n### Why build bumpgen?\n\nKeeping your dependencies updated is a good security and engineering practice (just not too up-to-date, thanks xz 🙏🏼). But they can be a pain to actual perform because:\n\n* **Major version bumps** have breaking changes and no one wants to fix them.\n* **25% minor version bumps** have breaking changes as well (semver isn’t perfect)\n* There can be a lot of version bumps from small packages to large frameworks\n\n### How Does bumpgen work?\n\n![uploaded image](/media/?type=post&id=80578&key=user_uploads/1279127/f06347b9-da03-4f95-aa1b-8f850576b262)\n\n**bumpgen** is pretty straight forward:\n\n* **BUMP** your dependency version then **GEN**erate the fixes for the breaking changes\n* Quick to get started with `npm install -g bumpgen`\n* Works on top of your Dependabot or Renovate to take care of those gnarly breaking changes\n\nIf you are curious how bumpgen identifies, fixes, then propagates the breaking change fix, we added bumpgen’s architecture and design decisions [**here**](https://github.com/xeol-io/bumpgen) 👈\n\n### How to start?\n\n* 🧑🏼‍💻 [**Try it out**](https://github.com/xeol-io/bumpgen), it’s 100% open source\n* ⭐ [**Support**](https://github.com/xeol-io/bumpgen) the project with a star\n* 📩 [**Get updated**](https://www.xeol.io/beta) on the GitHub app release",
        "url": "https://www.ycombinator.com/launches/Kxe-bumpgen-keep-your-code-up-to-date-with-ai",
        "votes": 43,
        "created_at": "2024-05-02T15:07:15.215Z"
      },
      {
        "id": 73333,
        "title": "🌌 Xeol - Modern platform for software supply chain security",
        "tagline": "Cut through the noise, identify and remediate risks, then enforce security policies",
        "body": "![uploaded image](/media/?type=post&id=73333&key=user_uploads/1279127/210f8a5b-d0c2-4f78-a504-dea9eb6669ca)\n\n### TLDR\n\n> Fortune 500 companies use Xeol to connect all their software dependencies into a contextual graph to ask questions like “am I affected by vulnerability X?” and enforce policies like “ensure all my docker images were signed by me?”\n\n![uploaded image](/media/?type=post&id=73333&key=user_uploads/1279127/040b5865-0ba9-42f6-a893-bbf3f0eb3222)\n\nWe first met 6 years ago as early engineers at **Ada** leading backend, cloud infrastructure, and security. Right before founding Xeol:\n\n* **Benji** was a Sr DevOps Engineer at **Datadog** leading its service catalog project with a near decade career in DevOps\n* **ShiHan** was the Director of Engineering helping build 2 startups from early stage to 🦄\n\nWe have been in the startup world for many years and are now on our own journey to help AppSec engineers quickly identify, remediate, and enforce security risks.\n\n### Problem. A New Attack Vector\n\nAsk anyone on the street to plug in a random USB drive and they will scoff. They know it’s unsafe! But developers do this every day when they use open-source packages as part of their software supply chain. The typical npm package has **86 dependencies** and with supply chain attacks up **600%** over the past year alone, this attack vector is widening.\n\nWhat’s not working?\n\n* **Too much noise:** tools that show all possible CVEs without contextual runtime information make prioritization near impossible leading to alert fatigue\n* **Attacks are more common:** generative AI enables malicious actors to easily launch attacks\n* **Huge attack surface:** many actors involved including OSS maintainers and their code, CI/CD systems, container orchestrators, and in-house developers\n\n### Solution. Complete Ontological Visibility\n\n![uploaded image](/media/?type=post&id=73333&key=user_uploads/1279127/a7017029-25ff-45a2-b114-6386d949057d)\n\nXeol is an **agentless** solution that scans your software artifacts at **build** and **runtime** then creates a **contextual graph** of your software supply chain. This contextual graph allows AppSec engineers to:\n\n**answer** questions like\n\n* Where am I using package X?\n* Which software are end-of-life?\n* Which packages are missing SLSA attestations?\n* Which software artifacts are produced from repo X?\n\n**enforce** policies like\n\n* Ensure all Docker images were built by my org from our CI pipeline\n* Prevent software X, which is end-of-life, from being packaged in our Docker images\n* Ensure sure all packages meet a minimum [OSSF](https://openssf.org/) score\n* Prevent any dependencies using a GPL license\n\n### Our Ask\n\n**See** Xeol’s graph capabilities in action [here](https://dashboard.xeol.io/demo)\n\n**Try** our open-source CLI [tool](https://github.com/xeol-io/xeol) to scan for end-of-life software\n\n**Follow** us on [LinkedIn](https://www.linkedin.com/company/xeol), [GitHub](https://github.com/xeol-io), or [Twitter](https://twitter.com/xeol_io) to get the latest updates",
        "url": "https://www.ycombinator.com/launches/J4n-xeol-modern-platform-for-software-supply-chain-security",
        "votes": 45,
        "created_at": "2023-07-24T02:01:24.497Z"
      }
    ]
  },
  {
    "id": 28862,
    "name": "Corgea",
    "slug": "corgea",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4f659e1a5051b790e28f097f1c858880dc797b7f.png",
    "website": "https://www.corgea.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Corgea is an autonomous application security platform that finds and validates vulnerabilities, then generates safe code fixes developers can apply in their existing workflow. In production customers like Zapier and Yageo, see ~20% more true positives and ~90% fewer false positives (vs their prior tooling), reducing triage and speeding remediation without adding headcount.\r\n",
    "one_liner": "Corgea finds, and fixes insecure code and packages autonomously. ",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
    "launched_at": 1686005960,
    "tags": [
      "Developer Tools",
      "SaaS",
      "Security",
      "Cybersecurity",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
      "B2B",
      "Security"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/corgea",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/corgea.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/corgea/",
    "x_url": "https://twitter.com/CorgeaInc",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/corgea",
    "github_url": "https://github.com/Corgea",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4f659e1a5051b790e28f097f1c858880dc797b7f.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
    },
    "founders": [
      {
        "user_id": 65616,
        "full_name": "Ahmad Sadeddin",
        "title": "Founder",
        "founder_bio": "Ahmad is the founder and CEO of Corgea, which is his 3rd startup. His last one was acquired by Coupa. He spent the last 3 years of his tenure there leading the payments product where he worked on making sure their products were secure.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/asadeddin",
        "x_url": "https://twitter.com/asadeddin",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2faba562e39bcac6bfbe892753fd27713da6b74d.jpg"
      }
    ],
    "jobs": [
      {
        "id": 69626,
        "title": "Senior software engineer - California",
        "url": "https://www.ycombinator.com/companies/corgea/jobs/BkQzEJ1-senior-software-engineer-california",
        "location": "San Francisco, CA, US / San Mateo, CA, US / Remote (CA, US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $200K",
        "equity_range": "0.50% - 2.00%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 69628,
        "title": "Senior software engineer - Jordan",
        "url": "https://www.ycombinator.com/companies/corgea/jobs/28hnjyF-senior-software-engineer-jordan",
        "location": "JO / Remote (JO)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$20K - $65K",
        "equity_range": "0.10% - 2.00%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 81750,
        "title": "Software engineer - Jordan",
        "url": "https://www.ycombinator.com/companies/corgea/jobs/4ikDBbl-software-engineer-jordan",
        "location": "JO / Remote (JO)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$17K - $40K",
        "equity_range": "0.10% - 2.00%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 81751,
        "title": "Software engineer - California",
        "url": "https://www.ycombinator.com/companies/corgea/jobs/Fj7nVVP-software-engineer-california",
        "location": "San Francisco, CA, US / San Mateo, CA, US / Remote (CA, US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $180K",
        "equity_range": "0.25% - 2.00%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 83239,
        "title": "Security Researcher",
        "url": "https://www.ycombinator.com/companies/corgea/jobs/flq0ShW-security-researcher",
        "location": "San Francisco, CA, US / San Mateo, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $220K",
        "equity_range": "0.25% - 0.75%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "JavaScript",
          "Python",
          "Information Security",
          "Software Security"
        ]
      },
      {
        "id": 91598,
        "title": "Founding DevOps Engineer - California",
        "url": "https://www.ycombinator.com/companies/corgea/jobs/5adGCih-founding-devops-engineer-california",
        "location": "San Francisco, CA, US / Remote (US; CA, US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Devops",
        "salary_range": "$100K - $210K",
        "equity_range": "0.05% - 0.50%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 91601,
        "title": "Founding DevOps Engineer - Jordan",
        "url": "https://www.ycombinator.com/companies/corgea/jobs/AxEYjCf-founding-devops-engineer-jordan",
        "location": "JO / Remote (JO)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Devops",
        "salary_range": "$25K - $42K",
        "equity_range": "0.05% - 0.20%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": " Introducing PolicyIQ: Contextual Security Analysis for Smarter, More Accurate Results - Corgea - Home",
        "url": "https://corgea.com/blog/introducing-policyiq-contextual-security-analysis-for-smarter-more-accurate-results",
        "date": "Jan 15, 2025"
      },
      {
        "title": "Corgea’s raises $2.6 Million Seed Round",
        "url": "https://en.incarabia.com/shorooq-partners-leads-corgea%E2%80%99s-us26-million-seed-round-694875.html",
        "date": "Nov 06, 2024"
      },
      {
        "title": "Corgea Recognized as an IDC Innovator for DevSecOps Automated Remediation",
        "url": "https://corgea.com/blog/corgea-recognized-as-an-idc-innovator-for-devsecops-automated-remediation",
        "date": "Sep 18, 2024"
      }
    ],
    "launches": [
      {
        "id": 103899,
        "title": "Corgea: Agentic Pentesting",
        "tagline": "An autonomous penetration testing engine that runs in hours and not weeks",
        "body": "[**Corgea AI Pentesting**](https://corgea.com/products/ai-pentest): an autonomous penetration testing engine that uses AI agents to plan, execute, validate, and report security tests. It doesn’t run a checklist. It reasons about your application.\n\n<https://www.youtube.com/watch?v=wzvUiEr8I2c>\n\n## The numbers\n\nIn a recent pentest:\n\n* **Corgea found 25 findings.** The human pentester found 6.\n* **Delivery time: 4-8 hours.** The human pentest took 2 weeks.\n\n![Corgea AI Pentesting findings overview](https://corgea.com/cms/blog/introducing-ai-pentesting/image-3.png)\n\n## How it works\n\nMost autonomous pentesting tools are black-box scanners with better marketing. They probe endpoints against a generic vulnerability checklist and produce a PDF full of theoretical findings that security teams have to triage manually.\n\nCorgea takes a fundamentally different approach. The engine operates like a real pentesting team.\n\n**Multi-agent architecture.** Not a single scanner. Corgea spawns a coordinator agent that assigns specialized sub-agents (an authentication discovery agent, an API exploration agent, a SQL injection expert agent) based on what it discovers. These agents collaborate, share findings, and build on each other’s discoveries. For complex targets, Corgea can spawn hundreds of agents.\n\n![Corgea AI Pentesting multi-agent execution view](https://corgea.com/cms/blog/introducing-ai-pentesting/image-1.png)\n\n**Code-aware, not black-box.** The engine ingests code context, dependency data, infrastructure configuration, and business logic. It uses your existing [AI SAST](https://corgea.com/products/ai-sast) findings for white-box pentesting, exploiting vulnerabilities at runtime that static analysis already identified. This combination of static insight and dynamic testing dramatically amplifies what the engine can find.\n\n**Dynamic adaptation.** Corgea’s agentic architecture is not fixed. The system continuously adapts its strategy based on what it learns about the target, dynamically scaling the number of agents, their responsibilities, and their specialization. It doesn’t follow a one-size-fits-all workflow.\n\n**Exploitability validation built in.** Corgea doesn’t report theoretical vulnerabilities. Agents validate exploitability during the test itself, confirming a finding can be triggered, capturing evidence, and explaining business impact. This eliminates the triage burden that makes traditional pentest reports a firehose of unverified findings.\n\n![Corgea AI Pentesting exploit reproduction script](https://corgea.com/cms/blog/introducing-ai-pentesting/image-2.png)\n\n## The pipeline\n\n1. **Environment setup.** Corgea provisions a Linux-based sandbox with a full suite of security tools for crawling, discovery, reconnaissance, and exploit validation.\n2. **Scope and context ingestion.** Target scope, endpoints, API documentation, auth flows, user roles, business logic context, and optional code/repo context. Both authenticated and unauthenticated.\n3. **Attack surface discovery.** Maps reachable routes, APIs, parameters, forms, auth boundaries, authorization-sensitive workflows, and exposed services.\n4. **Autonomous test planning.** AI agents reason about application structure and generate test plans for broken access control, IDOR, authentication bypass, injection, SSRF, insecure file handling, sensitive data exposure, and business logic abuse.\n5. **Safe execution and validation.** Hundreds of sub-agents execute probes, observe responses, adapt based on application behavior, and validate exploitability.\n6. **Evidence generation.** For confirmed issues: affected endpoint, payload or request sequence, response evidence, exploitability reasoning, severity, business impact, and remediation recommendation.\n7. **Developer-native remediation.** Findings go directly into developer workflows (PR comments, Jira tickets, Slack notifications, CI/CD pipelines) with reproduction steps, code context, and suggested fixes.\n8. **Reporting.** Findings converted into reports for management, auditors, and customers.\n\n## Supervised autonomy\n\nAutonomous doesn’t mean uncontrolled. Humans remain in control of:\n\n* Defining and approving test scope\n* Setting rules of engagement\n* Approving aggressive or potentially disruptive testing\n* Reviewing sensitive findings\n* Accepting final pentest reports\n* Making risk decisions for production environments\n\nCorgea automates the repetitive and technically complex parts. Humans own the risk decisions.\n\n## Continuous, not point-in-time\n\nTraditional pentesting delivers a PDF report weeks after testing begins. By the time you read it, your application has changed.\n\nCorgea supports both one-time and continuous autonomous pentesting. Retesting is automatic after remediation. Findings close the loop between discovery, fix, and verification in hours, not waiting for the next quarterly cycle.\n\n## Ready to Ditch Security Theater?\n\nIf you're tired of checkbox pentests:\n\nBook a call: <https://corgea.com/demo> \n\nEmail us: sales@corgea.com",
        "url": "https://www.ycombinator.com/launches/R1n-corgea-agentic-pentesting",
        "votes": 18,
        "created_at": "2026-06-24T15:40:00.793Z"
      },
      {
        "id": 77558,
        "title": "🐕 Corgea - Easily and quickly fix vulnerable code using AI",
        "tagline": "We make it easy for companies fix vulnerable code by automating away 80% of the engineering work needed. ",
        "body": "**TL;DR**: Corgea helps companies fix vulnerable source code. It is an AI-powered security platform that writes security patches for engineer approval, saving 80% of the engineering effort needing and $$$. Having Corgea is like having a security engineer on staff constantly focused on making your code more secure. \n\nHi YC! This is Ahmad, and along with Adam, Pratik and Tamara we’re building [Corgea](https://corgea.com/).\n\n![uploaded image](/media/?type=post&id=77558&key=user_uploads/65616/fd08a653-a912-4b81-8d59-cfb4c56e0d95)\n\n### 🕳️ Unresolved holes in software\n\nCompanies scan their code for security vulnerabilities, and are often met with a big pile of findings. On average, companies take 3 months to fix a vulnerability, and 60% of breach victims were aware of the unpatched vulnerability that was exploited.\n\nWhy? This is because engineers prioritize revenue-generating work, often leaving security fixes lower in priority. It is also really expensive for companies to fix vulnerabilities, costing them between $400 - $4,000 per fix. Unacceptable in today’s environment of more frequent security breaches and increasingly sophisticated attacks.\n\nSecurity teams kept complaining to us that all of their hundreds (yes hundreds) of security tools alert them about issues without giving them a way to actually resolve the issues automatically. This leaves security teams hanging high and dry.\n\n### 🐕 What does Corgea do?\n\nWe’re approaching one of the hardest problems in security with an entirely new approach. Unlike other tools that have been vehemently obsessed with just reporting on vulnerabilities, Corgea fixes them.\n\nCorgea connects to your existing SAST (Static application security testing) tools, like Snyk and Semgrep, and automatically writes code fixes for the reported vulnerabilities. Security teams can issue a pull request for the fix with a single click without disrupting any workflows. Engineers get the code fix for review, and well written descriptions helping them understand the changes.\n\nFor example, Corgea can rewrite code and issue PRs to fix SQL injection, path traversal, SSRF, or hundreds of other vulnerabilities. Here’s a brief demo to show Corgea’s capabilities.\n\n[Fixing Issues using Corgea - Watch Video](https://www.loom.com/share/318f06b97dac48628971bb52db372fb8)\n\n![](https://cdn.loom.com/sessions/thumbnails/318f06b97dac48628971bb52db372fb8-1702061376925-with-play.gif)\n\n### ✅ Empowering Security and Freeing up Engineering\n\nSecurity is often perceived as a blocker to engineering, and vice versa. With Corgea, we’re empowering security teams to be able to take action while also accelerating engineering velocity. This fundamentally changes the dynamic between teams.\n\n* **💪 Stronger code:** companies can now secure their products and reduce their fix times to hours without taxing engineering. Many prospects we spoke to have tens of thousands of vulnerabilities that now has a fighting chance in reducing them.\n* **🚀 Increase engineering velocity:** since Corgea is issuing the code fix, we see up to an 80% savings in time engineers spend fixing security issues. Security can now be an enabler to engineering rather than a blocker.\n* **💰 Slash Costs:** Research shows that a single vulnerability takes about $400 - $4,000 to fix. Corgea reduces these costs by up to 80%. Many enterprises can expect to save at least $10m in direct development costs. This doesn’t account for breach cost savings.\n\nOften, security software lacks a clear return on investment or value proposition. They are frequently bought due to fear, uncertainty, and doubt. At Corgea, our belief is that security software needs to lead first with real value and a clear ROI.\n\n### 🌟 How is Corgea different than existing solutions?\n\nThe current market is flooded with tools that overwhelm security teams with alerts and are not effective at fixing what they’re reporting.\n\n* General code-gen tools do not specialize in security and we’ve seen them inadvertently introduce security issues unbeknownst to the engineer. Additionally, they often do not integrate into a wider ecosystem of tools, preferring to focus solely on their own findings.\n* Most SAST & SCA vulnerability scanners do not remediate issues. Many tout this but it’s mostly limited to upgrading packages from one version to another to reduce a CVSS. This often introduces downstream challenges. If they do offer CWE remediation capabilities their success rates are very low because they’re often based on traditional AI methodologies. Finally, they do not integrate into a wider ecosystem of tools because they want to only serve their own findings.\n\nEnterprises often use multiple scanners like Snyk, Semgrep, Checkmarx, and may have multiple repository tools like Github, Gitlab and Bitbucket for their code. They need a solution that consolidates across their existing tools.\n\n### 👩🏽‍💻 Who is building Corgea?\n\nEach member of the Corgea team has experienced the challenges of addressing vulnerabilities in both security and engineering. We first hand witnessed the frustration of teams in wanting to deliver on high quality feature-rich secure software. Our goal is to shatter the silos between the teams and empower both of them rather than empower one at the expense of the other.\n\nIn our prior roles, we designed, secured and built mission-critical software products at companies like of Coupa, Autodesk, and PlanGrid.\n\n### 🎉 Want to try it?\n\nWe’re really excited to help companies in automating the security of their source code. [Use Corgea today](https://www.corgea.app/registration/) for free and without a credit card. Setup takes less than a few minutes. Feel free to [reach out to us](https://calendly.com/asadeddin/30min?month=2024-01) to chat and get a more in-depth demo.",
        "url": "https://www.ycombinator.com/launches/KAw-corgea-easily-and-quickly-fix-vulnerable-code-using-ai",
        "votes": 24,
        "created_at": "2024-01-16T16:32:31.262Z"
      },
      {
        "id": 73406,
        "title": "🐕 Corgea - Enterprise data security and privacy",
        "tagline": "Empowering enterprises to secure sensitive data",
        "body": "Hi everyone!\n\nWe’re building [Corgea](https://corgea.com?utm_source=yc&utm_medium=cpc&utm_campaign=yc_launch&utm_id=yc_launch) - a data security and privacy platform that automates sensitive data protection and compliance in the products companies make.\n\n### [**🚩**](https://emojipedia.org/triangular-flag/) **The Problem**\n\nCompanies process sensitive data, but don't know what it is, and who they share it with. They can’t protect and make private what they don’t know they have and what it is. Additionally data protection requires a lot of different stakeholders to come together, and they lack the proper tools to collaborate around it.\n\n### [**⚡**](https://emojipedia.org/high-voltage/) **How does it work?**\n\nCorgea monitors data traffic, classifies sensitive data (e.g., PII, PHI, payment data), and maps where it came from and who it's being shared with. It then tells you which data protection and privacy policies you need to comply with.\n\nCorgea is unique because you can set it up using 300+ out-of-the-box connectors in hours with no IT integration work.\n\n![uploaded image](/media/?type=post&id=73406&key=user_uploads/65616/f206fe9c-e12f-4749-9946-5567453cecb7)\n\n### [**🧰**](https://emojipedia.org/toolbox/) **What can you do with Corgea?**\n\nHaving this information at your fingertips gives you super powers to be able to:\n\n* Unlock revenue by making data protection your competitive advantage\n* Reduce your attack surface vector of your infrastructure\n* Accelerate breach response\n* Know which 3rd parties receive sensitive data\n* Understand your data compliance requirements\n* Receive alerts for out-of-policy data events\n* Perform data minimization\n\n![uploaded image](/media/?type=post&id=73406&key=user_uploads/65616/dad1dd93-4e77-4560-95b3-cda61b090fc6)\n\n### [**📖**](https://emojipedia.org/open-book/) **The Story**\n\nOne day, Ahmad received a massive excel sheet to fill out for a data privacy initiative. By the end of it, he had curated hundreds of data fields manually, and identified where they came from and where they were sent to. Feeling how inefficient this was for the company, he decided to automate it by building Corgea.\n\nAhmad previously led the payments product at Coupa and founded 2 other companies before Corgea. His last company was acquired by Coupa.\n\n![uploaded image](/media/?type=post&id=73406&key=user_uploads/65616/437a87ab-4bc7-47d8-b8a8-9c81c8f0d034)\n\n### **🚀 Team**\n\nAhmad is joined by an amazing team all with experience in working and building software in regulated data environments such as HIPAA, FedRamp, PCI, ITAR, and data privacy.\n\n![uploaded image](/media/?type=post&id=73406&key=user_uploads/65616/c345a149-ae43-472e-a09c-ff7895239bf9)\n\n### [**❤️**](https://emojipedia.org/red-heart/)**Interested?**\n\nIf you are a company processing sensitive data, and want to unlock revenue while being compliant then [**schedule a call with us**](https://l.linklyhq.com/l/1rIbH)!\n\nCompanies that sign up before Aug 30th are eligible for **50% off**!",
        "url": "https://www.ycombinator.com/launches/J5y-corgea-enterprise-data-security-and-privacy",
        "votes": 43,
        "created_at": "2023-07-25T14:47:43.101Z"
      }
    ]
  },
  {
    "id": 28958,
    "name": "Rimward",
    "slug": "rimward",
    "former_names": [
      "Quack AI",
      "Sourcepulse"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bd215af97ab581709a04ff6284c6091f29c2058e.png",
    "website": "https://rimward.ai/",
    "all_locations": "Paris, Île-de-France, France",
    "long_description": "Rimward helps solar asset managers detect intrusions using the cameras already installed across their sites. It flags camera failures and coverage gaps, and gathers video evidence from multiple cameras to help their team or monitoring provider filter out false alarms and decide when to act.",
    "one_liner": "Solar farm security software for existing cameras",
    "team_size": 1,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
    "launched_at": 1691807496,
    "tags": [
      "Machine Learning",
      "Computer Vision",
      "B2B",
      "Security",
      "Enterprise"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
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        "full_name": "F-G Fernandez",
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        "role_type": "Embedded systems",
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        "experience": "3+ years",
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        "id": 74260,
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        "body": "Hello there! I'm FG (short for François-Guillaume 🇫🇷), the founder of [Quack AI](https://www.ycombinator.com/companies/quack-ai).\n\n**tl;dr:** _We help large software companies run like the most efficient open-source projects. In the future, top-tier developers in those organizations will be able to contribute to pivotal projects, regardless of what teams they're from._\n\n### **💬** The Problem\n\nSuccessful OSS projects are well-organized communities where information is shared and valued. Recognizing this gold standard, corporate giants like Microsoft and IBM are shifting towards 'innersource' - a strategy that fosters ownership, augments communication, and bolsters productivity. However, like many cluttered OSS projects, the vast array of solicitations and varying expertise easily gets overwhelming.\n\n### 💻 Our Solution\n\nOur Dual-Fold Approach:\n\n![uploaded image](/media/?type=post&id=74260&key=user_uploads/1390247/195e8fa1-3b7d-4327-9507-c05a168f1531)\n\n* **Clarity for maintainers** (Web interface): we empower maintainers with a framework to streamline contribution processes. Through our intuitive interface, maintainers can design, curate, and sequence the optimal steps for smooth project contributions.\n\n![uploaded image](/media/?type=post&id=74260&key=user_uploads/1390247/94e7fe10-fc64-4df9-893a-8f20fd16e2ea)\n\n* **Guidance for developers** (VSCode extension): with our IDE extension, developers aren't just compliant; they're efficient. It aids in identifying the right issues, ensures alignment with contribution flows, and keeps a pulse on project priorities.\n\nWhile maintaining popular OSS projects and being an active contributor to PyTorch, I’ve often faced the frustration of seeing Pull Requests from newcomers and thinking “If only that person had the reflex to do XYZ.” Those unwritten norms, which often evade CI restrictions, only sink in after repeated code reviews and numerous trials and errors. This uneasy feeling that “it would be so easy if they were to do ABC” highlights the absence of a solid framework for collaborative development.\n\n### 🦆 The Team\n\n![uploaded image](/media/?type=post&id=74260&key=user_uploads/1390247/153b4727-f3fd-4ba1-9020-45fbc7e19d2b)\n\nI tend to describe myself as a _\"Deep learning engineer by day, open source contributor by night 🦇\"_ which is fairly accurate! On top of being among the top contributors of PyTorch, I’ve led the development of the open-source OCR library of devtool company Mindee (YC W21). I experienced first-hand how some open-source communities are structured to achieve high engagement & productivity, which now appeals to software behemoths.\n\n### 🙏 How you can help\n\n* **🤝 Refer**: know someone in a major corporation looming over innersource or part of a substantial OSS project? Please connect us.\n* **⭐ Engage**: star us on [GitHub](https://github.com/quack-ai/companion) & hop into our [Discord](https://discord.gg/E9rY3bVCWd) for the latest updates!\n* **👍👎 Experiment & feedback**: mold your unique coding insights and take our [VSCode extension](https://marketplace.visualstudio.com/items?itemName=quackai.quack-companion) for a whirl.\n* **📣 Share**: share this post with your network, you can find us on [Twitter](https://twitter.com/quack_ai) or [LinkedIn](https://www.linkedin.com/company/quackai)\n\nUp to revolutionize developer collaboration? Let’s get quacking then!",
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        "title": "Tesseral: the open source auth infrastructure for B2B SaaS",
        "tagline": "Everything you need to manage users in business software, from a login page to session management to SSO and RBAC!",
        "body": "Tesseral is open source auth infrastructure for business software. You can use it to authenticate your users, and manage their access to resources.\n\nIt’s similar to products like Auth0, but it’s open source and built specifically for B2B apps.\n\nIt comes with enterprise features like single sign-on, directory provisioning, user impersonation, and multi-factor authentication, as well as beautiful login pages and self-service settings for customers.\n\nYou can experiment with Tesseral using our hosted service for free at [console.tesseral.com](http://console.tesseral.com) or learn more by reading the docs at tesseral.com/docs!\n\nhttps://www.youtube.com/watch?v=hawD-4PWy4Y\n\n![uploaded image](/media/?type=post&id=90141&key=user_uploads/1519710/328d4d9e-4a18-4dbe-ae6e-231ae3002b1c)\n\n",
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        "title": "SSOReady: Open source developer tools for enterprise single sign-on",
        "tagline": "SSOReady makes it safe and easy for developers to offer SAML SSO and SCIM directory sync in their software.",
        "body": "**TLDR: set up SAML and SCIM in less than a day:** <https://www.youtube.com/watch?v=_HVtFkW8xCI>.\n\n# Context: customers want SAML\n\nThere are lots of different ways to authenticate (i.e. log in) users in software.\n\nCompanies often require their employees to use single sign-on (SSO) to access business software, both for convenience and security.\n\nFor the most part, especially in large companies, SSO relies on an old, complicated protocol called SAML. (If you’ve used a service like Okta before, you’ve likely used SAML without realizing it!)\n\nIf you make business software, you probably will need to support SAML at some point.\n\n# Problem: SAML is hard\n\nBut SAML is really hard, even for experienced developers. It just doesn’t work like most modern software, making implementations slow and risky. Companies as sophisticated as GitLab can make [very costly mistakes](https://ssoready.com/blog/engineering/ruby-saml-pwned-by-xml-signature-wrapping-attacks/).\n\n# What we do: we make SAML easy\n\nSSOReady makes SAML safe and easy enough that developers can often finish an implementation in [less than a day](https://blog.runreveal.com/we-shipped-sso-support-in-a-day-how/).\n\nSSOReady is an open-source (MIT) service that helps developers implement SAML single sign-on without ever touching SAML directly. Devs just need to implement two API endpoints: one to initiate SAML logins and another to receive incoming SAML messages. And then they’re pretty much done.\n\nSSOReady also offers a similar tool for SCIM, a protocol often used alongside SAML to provision and de-provision users. Developers can use SCIM to establish a live sync between their database of users and their customers’ central IT systems.\n\n# Get in touch\n\n* Our website: <https://ssoready.com>\n* Our github: <https://github.com/ssoready>\n\n![uploaded image](/media/?type=post&id=84774&key=user_uploads/89898/5ad4c15a-246b-4e47-86ba-96e87cabf198)\n\n",
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        "full_name": "Shankar Krishnan",
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        "full_name": "Vikram Jayanthi",
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        "title": "IBM's AI agent Bob easily duped to run malware: Researchers • The Register",
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        "full_name": "Zvonimir Sabljić",
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        "founder_bio": "I am an engineer and a technology entrepreneur. I cofounded AWW (A Web Whiteboard), which became a major player in the online whiteboard market. AWW had 1.5M MAU, with Apple as our largest customer. In 2021, it was acquired by Miro.\n\nI created two successful open source repositories - automated testing repo that got 1.4k Github stars and now, GPT Pilot, which has over 22k stars.\n\nCurrently, I'm working on bringing software development into the AI age.",
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      {
        "user_id": 1047121,
        "full_name": "Leon Ostrež",
        "title": "Founder/CTO",
        "founder_bio": "Software engineer, computer scientist (M.Sc.) and entrepreneur. Problem solving and attention to details with big persistence is my passion.\nI led the tech team at Faze Clan before they went public at $1B valuation and was a key contributor of Plex at Ericsson - the core language that handles 25% of the world's 2G and 3G network communication.\nI created two successful open source repositories - automated testing repo that got 1.4k Github stars and now, GPT Pilot, which has over 22k stars.",
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    "news": [
      {
        "title": "Y-Combinator-backed Pythagora AI secures $4M for open source app development with AI - Tech.eu",
        "url": "https://tech.eu/2024/05/14/y-combinator-backed-pythagora-secures-4m-funding-revolutionizing-app-development-with-ai/",
        "date": "May 14, 2024"
      }
    ],
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      {
        "id": 91577,
        "title": "Pythagora: All-in-one AI development platform",
        "tagline": "Try Pythagora and transform your ideas into production ready apps!",
        "body": "### **TLDR**\n\nPythagora is an all-in-one AI dev platform that is focused on building production-ready apps that you can deploy, use, and share.\n\n[Video](https://www.youtube.com/watch?v=o1nEvwjKziw)\n\n### **Problem**\n\nWe built Pythagora after seeing too many AI-generated projects either abandoned at the first sign of trouble or trapped in endless \"fix it\" loops with no visibility into what's actually happening. Without proper logs, breakpoints, or debugging tools, users were left guessing and rebuilding repeatedly.\n\n![uploaded image](/media/?type=post&id=91577&key=user_uploads/1047121/e2ca5b1e-9f0d-40ae-b6fc-30a24cf4abfe)\n\n### **Another codegen tool?**\n\nWhile other platforms focus on the initial \"wow\" of code generation, we've designed for the complete reality of software development. Every application will face challenges when it meets real users with real data.\n\nOur key differences:\n\n1. Overview: Clear overview of the project roadmap and your current progress.\n2. End-to-end development: From project planning to deployment (our cloud backed by AWS or your own infra - take your code wherever)\n3. Tools access - Easy access to app preview, logs, and knowledge base.\n4. Real debugging tools: Breakpoints, logs, and database inspection when something inevitably breaks\n5. Full-stack architecture: Proper backend, frontend, and database relationships, not just UI demos\n\n### **Final thoughts**\n\nWe're most proud that Pythagora treats your applications as living projects, not disposable demos. The platform shines exactly where others fall short: when you need to fix, improve, and deploy what you've built.\n\nStop treating AI-generated apps as disposable. Start building applications worth maintaining, fixing, and deploying.\n\n* **Explore apps built with Pythagora:** [pythagora.ai/examples](http://pythagora.ai/examples)\n* Read case studies of users creating meaningful apps: [pythagora.ai/case-study](https://www.pythagora.ai/case-study)\n\n### [**🙏**](https://www.pythagora.ai/case-study-medical-research) Ask\n\nIf you know a company that’s looking to build internal tools, please connect us. I’d be happy to give them a demo.",
        "url": "https://www.ycombinator.com/launches/Np3-pythagora-all-in-one-ai-development-platform",
        "votes": 14,
        "created_at": "2025-06-24T14:25:35.556Z"
      },
      {
        "id": 84468,
        "title": "🧮 Pythagora - Build tools completely in natural language",
        "tagline": "Pythagora is an AI dev tool that enables humans to build production ready apps using only natural language.",
        "body": "TLDR; Pythagora is a VS Code Extension that writes all the code for the app you want to build and talks to you whenever it needs a creative decision or feedback. It is focused on building production-ready apps that you can deploy and use, so to achieve that, it keeps you, the human, in the loop throughout the entire development process. Pythagora manages the entire codebase and talks to you in natural language.\n\n### **🤨 Problem**\n\nToday, new AI dev tools come out almost weekly. While many showcase impressive demos, very few prove their worth in building real-world, production-level applications. We think that this is because they don’t put the human in the loop enough. There is a notion that apps can be built just by writing 2 sentences of what kind of an app you want, and then you just wait until AI comes back with a fully built application.\n\nWe believe that humans have to be involved in the entire process of app development to give timely feedback so that AI can make changes as it works on specific features.\n\n### **💡 solution**\n\n![](https://www.ycombinator.com/media/?type=post&id=79066&key=user_uploads/170713/2c530744-eaf9-4870-9e87-d4bfd806082d)\n\nPythagora talks to the user throughout the entire development process. First, it creates a plan for building the entire application. Then, it goes task by task, implementing each one, but before going on to the next one, it asks the user to test whether it’s working as intended. We noticed that very often, Pythagora implements a feature correctly, but users, once they see how a feature works, decide they want it to work differently.\n\n* Watch the full crash course on how to use Pythagora here: [https://youtu.be/HIIHx0kErPc](https://www.youtube.com/watch?v=4g-1cPGK0GA)\n* **Explore apps built with Pythagora:** [pythagora.ai/examples](http://pythagora.ai/examples)\n* Read case studies of users creating meaningful apps: [pythagora.ai/case-study-medical-research](http://pythagora.ai/case-study-medical-research)\n\n### [**🙏**](https://www.pythagora.ai/case-study-medical-research) **Ask**\n\nIf you know a company that’s looking to build internal tools, please connect us. I’d be happy to give them access to Pythagora v1 and do a demo.",
        "url": "https://www.ycombinator.com/launches/LyO-pythagora-build-tools-completely-in-natural-language",
        "votes": 9,
        "created_at": "2024-10-02T18:00:05.786Z"
      },
      {
        "id": 79066,
        "title": "Pythagora - First complete AI developer that builds apps by talking to you",
        "tagline": "Open source VS Code extension that enables you to build production-ready apps from scratch in 1/20th of time",
        "body": "**TL;DR** [Pythagora](https://pythagora.ai/) is not a coding assistant or an autocomplete. It’s a true AI developer that takes your requirements, asks you questions, considers what technologies to use, and creates the development plan. Then, it breaks the plan into tasks, writes code, reads the CLI, fixes bugs, iterates, reviews the code, and asks you questions to make sure it’s on the right track.\n\n### 🛤 **OUR JOURNEY**\n\n![uploaded image](/media/?type=post&id=79066&key=user_uploads/170713/273e17b6-e99a-464a-9faf-c5a223e81bb6)\n\n[Senko](https://linkedin.com/in/senkorasic) and [Zvonimir](https://linkedin.com/in/zvonimirsabljic) met at a startup event in 2016. when Senko was looking for someone who would lead a side project that he started. Zvonimir accepted the challenge, we turned that project into a company, and 5 years later, in 2021, we sold the company to Miro.\n\n[Leon](https://linkedin.com/in/leon-ostrez-b55494178) and Zvonimir have been best friends since starting college in 2009. After the Miro acquisition, we started learning ML together and playing with different ideas. In 2023, we created our first open-source project for generating automated tests, and it quickly gained 1.4k Github stars. After talking to users and observing how AI is evolving, we decided to pivot to GPT Pilot, which became one of the fastest-growing open-source projects, now with more than **22k Github stars**.\n\nWhile we worked on the GPT Pilot, Senko explored a similar idea, so finally, in October 2023, we decided to join forces and build Pythagora together.\n\n### **❌ The Problem**\n\nOk, let’s state the obvious - there’s still a huge demand for software development, which is still expensive. On the other hand, we have LLMs that are extremely good at writing code. They can write code snippets like a senior developer but if you ask them to build the full app, it will do a worse job than a junior developer. This is because building production-ready apps is not only writing code. It’s writing code, running it, debugging, iterating, changing requirements, refactoring, and many other mechanisms that developers do every day.\n\nWhile LLMs are getting smarter every single day, they will always be answering machines—they won’t have the mechanics that allow humans to iteratively progress on building an app.\n\nThe good thing is that all these mechanisms are deterministic and repetitive.\n\n### **🌟 Our Solution**\n\n![uploaded image](/media/?type=post&id=79066&key=user_uploads/170713/2c530744-eaf9-4870-9e87-d4bfd806082d)\n\nPythagora is a blueprint of what app development looks like. First, it takes your requirements and asks you questions to clarify how you want your app to look. Then, it thinks about what technologies should be used for your specific app and creates the development plan. Then, it breaks the plan into tasks, writes code, reads the CLI, fixes bugs, iterates, reviews the code, and refactors it. Before making each commit, it asks you questions to make sure that the app works exactly as you want. Finally, it proceeds this way to the next task until the entire app is finished.\n\nMany AI copilots help developers write code faster, but Pythagora goes beyond the current developer experience — we’re reimagining how software development is done.\n\n### **🙏 Asks**\n\nIf you know any company that’s looking to build internal tools, it would be amazing if you could connect us. I’d be happy to demo Pythagora to them.\n\nAlso, it would be amazing if you could share this launch on Linkedin or Twitter.\n\nFinally, join us on [Discord](https://discord.gg/HaqXugmxr9)!",
        "url": "https://www.ycombinator.com/launches/KZG-pythagora-first-complete-ai-developer-that-builds-apps-by-talking-to-you",
        "votes": 36,
        "created_at": "2024-03-05T15:19:41.894Z"
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Superagent helps AI-native developers trust what they merge, control what their agents do, and show users it's safe.\r\n\r\nWe work in your coding agent and on GitHub:\r\n\r\n- Trust the change: checks on every pull request, before merge\r\n- Control it where it runs: boundaries around what your agents can see, say, and do\r\n- Break it before it ships: red teaming against what you actually run\r\n\r\nFree for open source.",
    "one_liner": "Security for AI-native developers",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
    "launched_at": 1701445003,
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      "AI"
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
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    "stage": "Early",
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    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/superagent.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/superagent-sh/",
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    "github_url": "https://github.com/superagent-ai/",
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    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
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    "founders": [
      {
        "user_id": 1367556,
        "full_name": "Alan Zabihi",
        "title": "Founder/CEO",
        "founder_bio": "CEO & Co-founder of Superagent",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/alanzabihi",
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      },
      {
        "user_id": 80364,
        "full_name": "Ismail Pelaseyed",
        "title": "Founder",
        "founder_bio": "CTO & Co-founder of Superagent.",
        "is_active": true,
        "linkedin_url": "http://se.linkedin.com/in/pelaseyed/en",
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      {
        "id": 94188,
        "title": "Superagent — Defender of AI agents 🥷",
        "tagline": "Superagent protects AI agents from attacks and data leaks",
        "body": "Hi YC 👋 We’re Alan and Ismail, founders of **Superagent (YC W24)**.\n\nWe’re building open-source **defense for AI agents**. Our product protects agents from prompt injections, malicious tool calls, and customer data leaks — in production, in CI/CD, and wherever they run.\n\n# The Problem\n\nAI agents introduce new attack surfaces that traditional security practices don’t cover:\n\n* **At runtime**: users can inject adversarial prompts that hijack an agent or force it to run harmful commands.\n* **At the model** layer: unsafe or poisoned outputs can embed backdoors into your stack.\n* **In CI/CD**: AI-generated code can contain harmful logic that slips through review and ships to production.\n\nWithout protection, agents can leak customer data or trigger destructive actions that impact your product and your users.\n\n# How Superagent Works\n\nAt the core is **SuperagentLM**, our small language model trained specifically for agentic security. Unlike static rules or regex filters, it reasons about inputs and outputs to catch subtle and novel attacks.\n\nSuperagent integrates at three key points:\n\n1. **Inference providers** — filter requests and responses at the API layer\n2. **Agent frameworks** — run runtime checks on every input, output, and tool call\n3. **CI/CD pipelines** — fail risky builds before unsafe code ships\n\nHere’s a quick example of how to use it with Exa (YC S21):\n\n![uploaded image](/media/?type=post&id=94188&key=user_uploads/1367556/35562a1a-829f-4fc0-bcc2-03952e3f58f6)\n\nEvery request is inspected in real time. Unsafe ones are blocked. Safe ones go through — with reasoning logs you can audit later.\n\n# Why We’re Building This\n\nWe’ve been working closely with builders of AI agents for the last couple of years, building tools for them. What we noticed is that many teams are basically trying to system-prompt their way to security. Vibe security (VibeSec) obviously doesn’t work.\n\nSome of the most popular agentic apps today are surprisingly unsafe in this way. So we decided to see if we could fix it. That’s the motivation behind Superagent: giving teams a real way to ship fast **and** ship safe.\n\n# Get Involved\n\n📖 [Read the docs](https://docs.superagent.sh/)\n\n📅 [Book a call](https://www.superagent.sh/)\n\nWe’d love your feedback: what’s your biggest concern about running agents in production? Book a call or drop a comment!\n\nAlan & Ismail 🥷🥷\\\n[Superagent](https://www.superagent.sh/) (YC W24)\n\n![uploaded image](/media/?type=post&id=94188&key=user_uploads/1367556/22c8addf-151e-4bf5-ade5-18f253df2bc4)\n\n",
        "url": "https://www.ycombinator.com/launches/OVA-superagent-defender-of-ai-agents",
        "votes": 14,
        "created_at": "2025-09-29T14:01:06.539Z"
      },
      {
        "id": 93541,
        "title": "Superagent — the AI Firewall 🥷🔥",
        "tagline": "Stops prompt injections, backdoors, and data leaks.",
        "body": "Hi everyone, we’re Alan and Ismail, founders of **Superagent** (YC W24).\n\nWe built the world’s first **AI Firewall** — powered by a model that sits between you and your models, protecting every request and response in real time.\n\n---\n\n## The Problem\n\nAI is quickly becoming the foundation of how software is built and used. But every time you send a prompt or receive a response, you take a risk:\n\n* Models can be tricked with prompt injections or jailbreaks\n* Sensitive data like API keys and PII can leak out\n* Malicious code or backdoors can slip through responses\n\nIf you’re building with AI or adopting third-party AI tools, you’re exposed.\n\n---\n\n## Our Solution\n\nSuperagent introduces **NinjaLM** — a small language model fine-tuned for security and safety. It runs in runtime (tens of milliseconds) and reasons about every prompt and response before it reaches your system.\n\n✅ Stops prompt injections and jailbreaks\\\n✅ Prevents secret leaks (API keys, credentials, PII)\\\n✅ Blocks malicious code before it reaches your system\\\n✅ Full audit logs, traces, and observability for compliance\n\nFrom internal apps to tools like Claude Code or ChatGPT, Superagent protects your AI without slowing you down.\n\n## https://youtu.be/GBTAs9yZiPM\n\n## Backstory\n\nBefore Superagent, we built plenty of AI apps ourselves. Each time, we ran into the same problem: adding even the most basic kind of protection was incredibly hard.\n\nTraditional firewalls are built for static rules — not reasoning. But AI isn’t static. It thinks, it adapts, and that creates a completely new class of security challenges.\n\nWe realized the only way forward was to fight fire with fire: build a model that could reason about other models, catching attacks, leaks, and malicious behavior in real time. That’s how the AI Firewall was born.\n\n---\n\n## Try It\n\nWe just launched our hosted service, and the open-source repo is live. Engineers can get started in minutes, and executives get the auditability and compliance they need.\n\n👉 [superagent.sh](http://www.superagent.sh)\\\n👉 [github.com/superagent-ai/superagent](https://github.com/superagent-ai/superagent)\n\n---\n\n## Call to Action\n\nIf you’re building or adopting AI:\n\n* Engineers — run your apps through Superagent today\n* Security teams — add prevention and compliance controls\n* Partners — we’re exploring integrations and distribution\n\nWe’d love your feedback. Links in comments.\n\n![uploaded image](/media/?type=post&id=93541&key=user_uploads/1367556/b76c2ef1-9036-484d-9564-73cecff2c9ff)\n\n---",
        "url": "https://www.ycombinator.com/launches/OKj-superagent-the-ai-firewall",
        "votes": 10,
        "created_at": "2025-09-03T14:51:00.274Z"
      },
      {
        "id": 92929,
        "title": "VibeKit 🖖 The Safety Layer for Your Coding Agent",
        "tagline": "Open-source sandboxing and observability for Claude Code, Gemini CLI, et al.",
        "body": "Hey YC! 👋\\\nWe’re building **VibeKit**, an open-source safety layer for Claude Code, Gemini CLI, and other coding agents.\n\n![uploaded image](/media/?type=post&id=92929&key=user_uploads/1367556/58ed677f-4f55-4d10-a0ef-b32fb2508117)\n\n## ❌ The Problem\n\nWe love coding with AI agents — until the day Anthropic emailed us to say they had found our API keys in a public GitHub repo and revoked them.\n\nThe leak came from our own coding agent. That’s when we realized most developers have no way to see — let alone control — what their AI agents are doing:\n\n* Which files they read or write\n* What shell commands they run\n* What data leaves their machine\n* Whether secrets get exposed in API calls\n\n## 🖖 The VibeKit Solution\n\nVibeKit is a **universal CLI wrapper** that runs any coding agent in a **local, isolated Docker sandbox**,\n\n![uploaded image](/media/?type=post&id=92929&key=user_uploads/1367556/76cf29ec-d566-42e9-861b-fad1a9bd4889)\n\nIt comes with:\n\n* **Secret redaction** before anything leaves your machine\n* **Full observability** into file changes, commands, API calls, and outbound data\n* **Offline-first**, open-source (MIT), and works with any agent — Claude, GPT-4o, Gemini, etc.\n\n![uploaded image](/media/?type=post&id=92929&key=user_uploads/1367556/20caa134-7f4a-434d-acac-6e5405eeb82b)\n\n## 💻 Try it out\n\n```\n# Install globally\nnpm install -g vibekit\n\n# Run Claude Code with VibeKit\nvibekit claude\n```\n\nThen watch _everything_ your AI is doing — safely.\n\n🎥 **Demo video:** [https://youtu.be/vDwJ4xcdRBM\\\\](https://youtu.be/vDwJ4xcdRBM%5C)\n\n📂 GitHub: [https://github.com/superagent-ai/vibekit\\\\](https://github.com/superagent-ai/vibekit%5C)\n\n📖 Docs: [https://docs.vibekit.sh](https://docs.vibekit.sh/)\n\n## 🙏 Our Ask\n\nIf you use coding agents day-to-day:\n\n* **Run them through VibeKit** — see what they’re _really_ doing.\n* Share your weirdest or most alarming finds with us — we’re building a public library of “agent fails.”\n\n💌 Contact: [founders@vibekit.sh](mailto:founders@vibekit.sh)\n\n---",
        "url": "https://www.ycombinator.com/launches/OAr-vibekit-the-safety-layer-for-your-coding-agent",
        "votes": 11,
        "created_at": "2025-08-12T19:06:49.796Z"
      },
      {
        "id": 91137,
        "title": "VibeKit 🖖 Run coding agents in a secure sandbox",
        "tagline": "Embed OpenAI Codex or Claude Code directly into your app.",
        "body": "## **Launch YC: VibeKit – Run coding agents in a secure sandbox**\n\n**Hi YC** 👋 We’re Alan and Ismail, the founders of Superagent (YC W24). We build tools for developers working with agents — especially **coding agents**.\n\nToday, we’re launching **VibeKit**, our open-source SDK that lets you run coding agents like OpenAI Codex or Claude Code safely in secure sandboxes.\n\nLocal setups work great for developing with coding agents — we’ve used them ourselves. But as soon as you want to **embed agents into your app**, **automate GitHub workflows**, or **run tasks in isolated environments**, you need something more flexible and secure.\n\n**VibeKit makes this possible.** It supports multiple sandbox providers (E2B today; Daytona, Modal, and [Fly.io](http://Fly.io) coming soon) and gives you:\n\n* ✅ Safe, isolated code execution\n* ✅ Live output streaming\n* ✅ Async run handling\n* ✅ Full prompt + code history\n* ✅ Telemetry and tracing\n* ✅ GitHub-safe automations\n\nWith VibeKit, coding agents can install packages, modify files, or create PRs — all without touching your local or production systems.\n\nhttps://youtu.be/GQaOSEbvOxM\n\nWe originally built VibeKit for internal use while developing Superagent. Since then we’ve used it to:\n\n* Embed coding agents inside apps\n* Build GitHub bots that open issues and PRs\n* Automate internal workflows (e.g. adding PostHog)\n\nNow it’s fully open source (MIT licensed) and available for anyone to use.\n\n🌐 [vibekit.sh](http://vibekit.sh) \n\n💻 [github.com/superagent-ai/vibekit](http://github.com/superagent-ai/vibekit) \n\n### 🙏 **Our Ask**\n\n* ⭐️ Star the repo\n* 🧪 Try embedding a coding agent in your app\n* 💬 Tell us what use cases it unlocked for you — email [founders@superagent.sh](mailto:founders@superagent.sh)\n\n![uploaded image](/media/?type=post&id=91137&key=user_uploads/1367556/d5bc1c0b-6a66-42b4-b75d-b28d6237e1a6)\n\n",
        "url": "https://www.ycombinator.com/launches/Nhx-vibekit-run-coding-agents-in-a-secure-sandbox",
        "votes": 18,
        "created_at": "2025-06-09T13:57:54.068Z"
      },
      {
        "id": 79352,
        "title": "🥷 Superagent - Run any workflow using AI",
        "tagline": "Open-source platform that allows anyone to build AI-agent workflows",
        "body": "_**Tl;dr:** [_Superagent_](https://superagent.sh/) makes it easy for anyone to use AI to do complex tasks. Enterprises and startups already use it for things like managing R&D projects, customer support, and market research. It's open-source, and it's designed for everyone - not just AI experts. With Superagent, businesses can save money and work smarter. [_Learn more about Superagent_](https://superagent.sh/?utm_source=yc&utm_medium=blog&utm_campaign=launch-yc)._\n\n![uploaded image](/media/?type=post&id=79352&key=user_uploads/89898/db78152a-35a4-497e-acac-55556a095c07)\n\n👋 Hello, we're [Alan](https://linkedin.com/in/alanzabihi) and [Ismail](http://se.linkedin.com/in/pelaseyed/en). Our path to Superagent started while working on an AI app, where we faced the reality of needing to build the entire tech stack and become AI experts just to perform one basic workflow. This experience led us to create Superagent, aiming to simplify AI use for everyone.\n\n## 🚨 The Problem: AI integration is complex\n\nThe reality is, integrating AI into business processes is a complex task. It usually demands teams of machine learning engineers, which is a significant barrier for many companies. Consider a business executive who sees AI as an almost unachievable goal; this perspective can lead them to miss out on the benefits AI could bring to their operations.\n\n## 🚀 Our Solution: Easy-to-build AI-agents\n\nWith Superagent, companies can build their own AI agents to perform whatever workflow they have in their business operations:\n\n* **No coding or infrastructure needed**: Configure AI agents using simple markup.\n* **Integration with Airtable**: Ideal for managing data-heavy tasks like market research.\n* **API and SDKs**: Allows embedding AI agents into any app or third-party system, including task management tools like Jira.\n\nBy choosing Superagent, companies can:\n\n* Automate complex tasks that would typically require manual effort or sophisticated programming.\n* Reduce operational costs by spending less time and fewer resources on routine tasks.\n* Gain a competitive edge by doing better work internally, but also by creating new customer experiences.\n\n## 💡 Opportunity in Enterprise\n\nTechnology, healthcare, and banking are massive sectors with data-heavy operations. Superagent's open-source model has led to bottom-up adoption from these sectors, showing validation of our approach. Join us as we tap into this massive opportunity.\n\n## 👋 How you can join in\n\n\\- Fork us on [GitHub](https://github.com/homanp/superagent)\n\n\\- Join our community on [Discord](https://discord.com/invite/mhmJUTjW4b) \n\n\\- Create your first AI workflow on our [cloud service](https://superagent.sh/?utm_source=yc&utm_medium=blog&utm_campaign=launch-yc)\n\n\\- [Contact us](mailto:alan@superagent.sh) for custom advice on your workflows",
        "url": "https://www.ycombinator.com/launches/Kds-superagent-run-any-workflow-using-ai",
        "votes": 89,
        "created_at": "2024-03-13T14:25:14.679Z"
      }
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    "id": 29405,
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    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "Want to apply AI to your IT Helpdesk queue? Risotto helps you grant software access, limit access/permission grants by time, serve knowledge, and get approvals from people like managers. All using natural language directly in chat (AKA \"ChatOps\")\r\n\r\nIT teams spend too much time manually provisioning software and answering the same question repeatedly. We help them improve resolution times, reduce SaaS spend, and enhance security with 24/7 automated software access and IT support. Check us out at: https://www.tryrisotto.com",
    "one_liner": "Risotto auto-solves IT support requests using AI",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1709248167,
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    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/risotto.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/tryrisotto/",
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        "full_name": "Aron Solberg",
        "title": "Founder",
        "founder_bio": "Aron is the founder and CEO of Risotto. When not working on his company he enjoys getting outdoors at every opportunity including hiking, skiing, and sailing. ",
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        "full_name": "Alex Confer",
        "title": "Founder",
        "founder_bio": "Co-founder of Risotto! Formerly Hellosign, Dropbox, Gusto. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/aconfer",
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        "full_name": "Chris Paul",
        "title": "Founder",
        "founder_bio": "CTO and co-founder of Risotto. Formerly engineer and lead at HelloSign (YC11), interviewing.io, and Square.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/cmpaul/",
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        "id": 78931,
        "title": "Risotto: The new AI-enabled IT help desk in Slack",
        "tagline": "Turn any Slack Channel into an automated IT help desk in 60 seconds ",
        "body": "# **🏆** Tl;dr:\n\n[Risotto](https://www.tryrisotto.com) automatically solves IT support tickets using AI. We help IT teams improve their resolution times, reduce SaaS spend, and enhance security with 24/7 automated software access and IT support, all directly in Slack.\n\n![uploaded image](/media/?type=post&id=78931&key=user_uploads/607082/1932cf98-d844-41b5-83f3-210c96b453a6)\n\n# Meet the Team\n\n![uploaded image](/media/?type=post&id=78931&key=user_uploads/607082/e5b07a88-94f0-402e-bb58-8330605a7cec)\n\n[Aron](https://www.linkedin.com/in/aronsolberg/), [Alex](https://www.linkedin.com/in/aconfer/), and [Chris](https://www.linkedin.com/in/cmpaul/) met almost 10 years ago at HelloSign (YC11) as early employees.\n\n* Alex led the HelloSign IT team through the acquisition by Dropbox and later led IT engineering at Gusto.\n* Chris has a 25-year history as a software engineer and leader, most recently at Square.\n* Aron was also an early engineer at HelloSign before he shifted into Product Management, and later served as a Director of PM at Dropbox, and a PM lead in ML at Grammarly\n\nCollectively they have over 30 years of experience in enterprise B2B SaaS software. The team says they’re “excited to be building the IT product Alex always wanted, but has never been able to find.”\n\nCheck out automated 24/7 IT support with Risotto! ⬇️ ⬇️ ⬇️\n\n![uploaded image](/media/?type=post&id=78931&key=user_uploads/607082/8345b5cd-5e3e-4cf5-acd9-0054766f9de5)\n\n_Risotto learns the answers to common questions for automated 24/7 resolutions_\n\n# **❌** The Problem\n\n🕒 IT teams spend too much time manually provisioning software and answering the same question repeatedly\n\n💸 Manually provisioning SaaS accounts inflates license costs because there’s a tendency to over-provision\n\n🦹 Security suffers as software accounts proliferate\n\n😫 Quarterly user access reviews for SOC 2 compliance add additional overhead for IT to manage\n\nThese types of problems are a waste of time for people to solve but are perfect for automation. One of our co-founders [Alex](https://www.linkedin.com/in/aconfer/) saw this play out constantly while running IT at Gusto and Dropbox which inspired us to do something about it!\n\n# **📈** The Solution\n\n<https://youtu.be/yOiDQEExDVE>\n\n_Turn any Slack Channel into an automated IT help desk in 60 seconds_\n\nOut-of-the-box Risotto integrates with Slack, and IDPs like Okta to manage software groups and provide three major feature pillars to make IT teams awesome\n\n### “ChatOps” Helpdesk in Slack\n\nRisotto turns any Slack channel into a 24/7 automated help desk in 60 seconds. Embrace “ChatOps” to minimize context switching for employees and IT. All chat threads are backed by a digital ticket with control handled through natural language and emojis.\n\n![uploaded image](/media/?type=post&id=78931&key=user_uploads/607082/eaba27d2-ab79-4029-9592-b13b31df8ffc)\n\n_You’ll love seeing the green check marks pile up as Risotto solves tickets right in front of your eyes_\n\n### Automated Software Access Management\n\nGain the benefits of software **approvals** and **time-based access** with our powerful access rules engine. All these rules can be configured per department to ensure everyone gets the right level of access.\n\n![uploaded image](/media/?type=post&id=78931&key=user_uploads/607082/24a9a446-eba6-40ba-855e-6edb25d1fab7)\n\n_Time-based access is a piece of cake with Risotto_\n\n![uploaded image](/media/?type=post&id=78931&key=user_uploads/607082/3664b78b-717a-4b99-9b4b-a910579eb3fc)\n\n_Get important and expensive software approved to ensure it’s really needed_\n\n### Streamlined User Access Reviews\n\nYour SOC 2 quarterly access reviews will fly by with Risotto. We offer easy tracking and review of software to ensure you always keep tabs on who has access and why\n\n![uploaded image](/media/?type=post&id=78931&key=user_uploads/607082/dd5f3249-8166-4c99-80ba-87e6065a6c3e)\n\n### Risotto’s benefits\n\n📈 Risotto improves the key metrics that IT teams care about, such as time-to-resolution (TTR), time-to-first-response (TTFR), and employee satisfaction ratings\n\n![uploaded image](/media/?type=post&id=78931&key=user_uploads/607082/eb256bc0-2e46-4265-bb61-4370cca79cf2)\n\nRisotto also provides numerous other benefits including:\n\n1️⃣ A unified IT support funnel to reduce context-switching\n\n⏩ Faster resolutions\n\n💰 Lower SaaS costs with on-demand provisioning\n\n🔐 Better security with timed access, and swift compliance reviews\n\n# Learn More and Try out Risotto\n\nWork in IT and want to try our Risotto? Reach out we’d love to talk! We think the future of IT support is conversational, and AI can help.\n\n* Email us at [founders@tryrisotto.com](mailto:founders@tryrisotto.com)\n* Schedule time directly via [Calendly](https://calendly.com/d/32r-55q-4d7)\n* Visit our [website](https://www.tryrisotto.com) and use our contact form\n\nWe love talking about modern IT challenges and we can often provide advice and best practices for navigating sticky problems!",
        "url": "https://www.ycombinator.com/launches/KX5-risotto-the-new-ai-enabled-it-help-desk-in-slack",
        "votes": 152,
        "created_at": "2024-03-01T01:03:31.109Z"
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      "name": "Nicolas Dessaigne",
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        "user_id": 1848263,
        "full_name": "Emily Choi-Greene",
        "title": "Founder/CEO",
        "founder_bio": "Founder/CEO at Clearly AI.  Previously, Emily owned data security and privacy at Moveworks. Before that, she spent 5 years at Amazon, where she led Alexa AI Security. Emily performed hundreds of security and privacy reviews, from Moveworks' AI data lifecycle to Alexa's machine learning compute platform (used by 5000+ ML scientists). Emily graduated with High Honors in Computer Science from Dartmouth College.",
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        "linkedin_url": "https://www.linkedin.com/in/emilycgreene/",
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        "full_name": "Joe Choi-Greene",
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        "id": 90826,
        "title": "Forward Deployed Security Engineer",
        "url": "https://www.ycombinator.com/companies/clearly-ai/jobs/zdixMrj-forward-deployed-security-engineer",
        "location": "Seattle, WA, US / Remote (US; CA)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$125K - $175K",
        "equity_range": "0.10% - 0.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
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    ],
    "news": [
      {
        "title": "Seattle security startup led by husband-wife duo raises $8.4M – GeekWire",
        "url": "https://www.geekwire.com/2026/seattle-security-startup-led-by-husband-wife-duo-raises-8-4m/",
        "date": "Feb 10, 2026"
      },
      {
        "title": "Okta Announces Finalists for Startup Challenge",
        "url": "https://www.businesswire.com/news/home/20250918072554/en/Okta-Announces-Finalists-for-Startup-Challenge-to-Build-Identity-Security-Applications",
        "date": "Sep 18, 2025"
      },
      {
        "title": "Meet the Winners of the Amazon Bedrock Builders’ Challenge",
        "url": "https://aws.amazon.com/startups/learn/amazon-bedrock-builders-challenge#overview",
        "date": "Mar 11, 2025"
      }
    ],
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      {
        "id": 82990,
        "title": "Clearly AI - Your AI Trust Team",
        "tagline": "Automate security and privacy with AI that understands your software.",
        "body": "**TL;DR:** [Clearly AI](https://clearly-ai.com) continuously reviews your software for security and privacy risks. We keep your compliance paperwork up to date and escalate issues that need attention so that your engineers can focus on more critical work.\n\n### The Problem\n\n* **Burn-out:** Many companies struggle to complete in-depth security reviews due to understaffed teams. The industry average is 1 security engineer per 200 software engineers. There is an overwhelming volume of software and policies to monitor and cross-check.\n* **Fragmentation:** Today, a typical enterprise security review takes 3-4 months to complete. Most of that time is spent gathering information and filling out paperwork. Trust teams operate in silos, leading to redundant questions or delayed risk identification.\n\n### Our Solution\n\n* **Triage:** Review all designs and code for security best practices and regulatory compliance.\n  * **Raise the Ceiling:** Prioritize which applications need deeper review by security & privacy engineers.\n  * **Raise the Floor:** For the rest, perform baseline security & privacy reviews to ensure compliance.\n* **Shift Left:** Bring the collective knowledge of legal, privacy, compliance, and security teams directly to developers from the inception of their work.\n* **Continuous Monitoring:** Real-time, automated checks instead of point-in-time reviews.\n\n![uploaded image](/media/?type=post&id=82990&key=user_uploads/1848263/d98720b6-83d2-42ed-bc4b-5dae8d938410)\n\n### Our Ask\n\nReach out to us if:\n\n* Your security/privacy teams are understaffed and overwhelmed.\n* Security/privacy is critical to your customers (beyond SOC2 certification).\n* You operate across regions with varying privacy regulations, and you need to evaluate and comply.\n\n### Our Offer\n\nGive us your gnarliest security & privacy problems — we’re happy to do a [free consultation](https://calendly.com/emily-cg/security-privacy-consult) and lend our expertise back to the YC community.\n\n### Our Team\n\nEmily & Joe met five years ago while working on an Alexa security review.\n\n* [**Emily**](https://www.linkedin.com/in/emilycgreene/)**:** Senior engineer at Amazon and Moveworks, speaker at USENIX PEPR, expert in privacy-preserving machine learning, featured in the New York Times.\n* [**Joe**](https://www.linkedin.com/in/joseph-choi-cmu)**:** Senior engineer at Amazon, designed and secured spacecraft command software that now orbits Earth, automated data compliance with global regulations like GDPR and HIPAA.\n\n![uploaded image](/media/?type=post&id=82990&key=user_uploads/1848263/d75fc960-831c-41bb-b51a-2a2dc7d0015c)\n\n",
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        "votes": 221,
        "created_at": "2024-08-13T18:05:13.368Z"
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Winfunc (winfunc.com) is an AI Hacker that autonomously finds, verifies, and patches security vulnerabilities in codebases, just like a human security engineer would. \r\n\r\nWinfunc can find business logic errors with context-aware scanning and automate the full auditing cycle to generate reports with zero false positives.\r\n\r\nWinfunc's agent has found vulnerabilities in Google, Supabase, Sentry, Cal, Gumroad, Bun, Hoppscotch, etc.",
    "one_liner": "ai-native security engineering for mission critical codebases",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
    "launched_at": 1723094847,
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        "body": "**TL;DR**: [Asterisk](https://asterisk.so/) is an AI “hacker” with the ability to find, exploit, and patch security loopholes across your digital assets. It does all of this with no user intervention and generates a report with zero false positives. ([example](https://demo.asterisk.so/?report_id=776e01e4-22a2-44bd-afc5-229ec115e1b1))\n\n![uploaded image](/media/?type=post&id=82844&key=user_uploads/629782/0cd6877d-6d46-4428-ae29-236edb91393e)\n\n# **The Problem**\n\n* Almost 95% of potential vulnerabilities raised by static security tools (SAST) are **false positives**, and security engineers spend a lot of time filtering them out.\n* Current security tech **cannot detect business logic bugs** - think of vulnerabilities like unauthorized access, privilege escalation, and bugs that would rack up your AWS/API bills.\n\n# **Solution**\n\n* **Verification:** Asterisk verifies a vulnerability by spinning up a sandbox, running the software being scanned, and attempts to exploit the bug. If Asterisk flags a vulnerability, you can be sure it's real.\n* **Context-aware Threat Modeling:** Asterisk understands your codebase and can thus emulate a malicious hacker by coming up with attack scenarios, like the recent CrowdStrike incident.\n\n# **Our Team**\n\nWe are [Mufeed](https://www.linkedin.com/in/mufeed-vh/), [Asjid](https://www.linkedin.com/in/asjidkalam/) and [Vivek](https://www.linkedin.com/in/123vivekr/). All of us have a background in security research and systems engineering.\n\n![uploaded image](/media/?type=post&id=82844&key=user_uploads/629782/4120e7a5-43bf-4fa1-9352-699f902b32c9)\n\n**Mufeed**: represented 🇮🇳 at WorldSkills CTF, 🥇 medalist - IndiaSkills CTF, 🥉 medalist - BRICS Skills CTF\n\n**Asjid**: 🥈 medalist - IndiaSkills, ex-security research engineer at Emirates National Bank (UAE)\n\n**Vivek**: ex-distributed systems/platforms engineer at Chorus One (one of the biggest POS validators)\n\nOur team has helped secure Google, Mastercard, Okta, Nvidia, Microsoft, etc. We are also the team behind [Devika,](https://github.com/stitionai/devika) the open-source alternative to Devin with over 18K stars on GitHub.\n\n# **Our Ask**\n\nIf you're looking for a **complete security audit** of your digital assets or want to talk about anything security, email us ([hello@asterisk.so](mailto:hello@asterisk.so)) or book a demo ([asterisk.so/demo](http://asterisk.so/demo)).",
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        "title": "🛡️ ZeroPath - Autonomous vulnerability patching",
        "tagline": "Detect and fix your web application's exploitable security issues without config.",
        "body": "📝 TL;DR: [ZeroPath](https://zeropath.com/) is a GitHub app that detects, verifies, and issues pull requests for security vulnerabilities in your code.\n\n![uploaded image](/media/?type=post&id=82258&key=user_uploads/2021206/183871ce-a1b3-4db9-a320-ce73defc63c3)\n\n### 💡 Why We Built This:\n\nAs security engineers and developers, we've seen firsthand how challenging it is for businesses to secure their products. Existing Static Application Security Testing (SAST) tools overwhelm teams with false positives and fail to remediate the real vulnerabilities they do find. We built ZeroPath to allow fast-moving teams to write secure code without having to configure or review a scan dashboard.\n\n![uploaded image](/media/?type=post&id=82258&key=user_uploads/2021206/9f2ff51d-2c6b-4ad5-b7c3-4c48e26fc0e9)\n\n### 🛠 How It Works:\n\n1. Executes regular vulnerability scans of your source code\n2. Integrates with GitHub to scan pull requests for vulnerabilities\n3. Uses advanced LLMs to significantly reduce false positives\n4. Generates patches for vulnerabilities identified\n5. Automatically issues pull requests to patch them\n\n### 💪 Why ZeroPath:\n\n* Integrates with your existing SAST - **removes** **85% of false positives**\n* Reduces vulnerability remediation time by up to **90%**\n* Enables natural language modification of patches, just tag @zeropath-ai in PRs (including your own!)\n* Supports complex, multi-file changes seamlessly\n* Prevents SAST vendor lock-in\n\n### 👥 Our Team:\n\n* [Nathan](https://linkedin.com/in/nathan-hrncirik): Ex-Tesla Red Team Engineer, $100k+ in bug bounties\n* [Raphael](https://linkedin.com/in/raphael-karger): Ex-Google Security Engineer, 12 security researcher hall of fames\n* [Dean](https://www.linkedin.com/in/dean-valentine-3b7583313/) & [Etienne](https://www.linkedin.com/in/etienne-lunetta-574065313/): Founders of Mevlink (acquired by Bloxroute in 2023)\n\n## 💰 YC Launch Deal: 50% off for 12 months\n\n* $20/month per contributing developer (reg. $40)\n* Use code LAUNCHYC at checkout, **valid until 8/15**\n\n### 🙏 How You Can Help:\n\nWe're eager for your insights on our product, feature ideas, and security needs - whether through trying our GitHub app, scheduling a meeting, or sharing feedback.\n\n* [Install our GitHub app](https://zeropath.com/)\n* [Schedule a meeting to discuss your application security needs](https://cal.com/zeropath/30min)\n* [Share your feedback](mailto:hello@zeropath.com)\n\n### 🚀 Get started in 30 seconds: <https://github.com/apps/zeropath-ai/installations/new>\n\n📅 Want to learn more? Schedule a demo: <https://cal.com/zeropath/30min>\n\n![uploaded image](/media/?type=post&id=82258&key=user_uploads/2021206/c947eed7-8cdb-43e0-b330-0c5e36c86ef5)\n\n",
        "url": "https://www.ycombinator.com/launches/LOk-zeropath-autonomous-vulnerability-patching",
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    "long_description": "We built Gecko for teams that want to build secure code quickly without wasting time on security tools that don’t deliver results, or relying on one-time human pentests that quickly become outdated. Gecko uses AI to understand how your application should work, simulates relevant attacks to find critical vulnerabilities, and then verifies these vulnerabilities by exploiting them. It also helps you understand the risk of these vulnerabilities and applies a working fix to keep your code secure.",
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    "industry": "B2B",
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    "country": "GB",
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        "full_name": "Jeevan Jutla",
        "title": "Founder/CEO",
        "founder_bio": "Jeevan, Co-Founder and CEO of Gecko Security, has previously worked as a security researcher for UK Intelligence, where he built automated security tools. He’s ranked in the top 500 globally for competitive hacking and has co-developed machine learning tools for vulnerability research, 3 years ahead of public research.",
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      {
        "user_id": 1969797,
        "full_name": "Artemiy Malyshau",
        "title": "Founder/CTO",
        "founder_bio": "Artemiy is the CTO and Co-Founder at Gecko Security. He holds an MSc from Imperial College London, where he was a scholar. He contributed to research in multi-agent systems and reinforcement learning. Prior, he developed threat intelligence software for Interpol and national governments.",
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      {
        "id": 92703,
        "title": "Gecko Security: AI SAST for finding Vulnerabilities in Code",
        "tagline": "30+ 0-Days found using Gecko",
        "body": "**TL;DR:** Static analysis tools flood teams with false positives and miss the vulnerabilities that matter. We use LLMs to find the complex business logic flaws that traditional scanners can't detect.\n\n![uploaded image](/media/?type=post&id=92703&key=user_uploads/1969797/42239d23-2918-4c49-bc6d-38a1955fc1c7)\n\n# **The Problem**\n\nCompanies scan their code for security vulnerabilities and are often met with a big pile of findings. 80% of these findings are false positives and not exploitable vulnerabilities. Even among the true positives, these scanners still miss issues like privilege escalation and authentication bypasses. These are the most important issues that only surface later during manual code review or penetration testing.\n\nSecurity teams have to deal with this by spending hours tuning scanners and rules or hiring headcount to triage through the false positives. This translates into delayed releases, overtime costs, and compliance risks when critical flaws slip through undetected.\n\n# **The Solution**\n\nTraditional SAST (Static Application Security Testing) tools have two fundamental limitations. First, they parse code into simplistic models like ASTs or call graphs, which lose context and can't resolve complex call chains. Second, they rely on pattern matching against predefined rules, which works for basic vulnerabilities like XSS and SQLi but fails completely for custom business logic flaws.\n\nGecko solves both problems. We built a custom, compiler-accurate indexer that preserves semantic information and allows us to precisely navigate code like an IDE. This gives us the ground truth of how your code actually works.\n\nWith that foundation, we use LLMs to perform threat modeling. The LLM analyzes your code's business logic, data flows, and trust boundaries to generate targeted attack scenarios. We then systematically validate each potential attack path, using the indexer to reconstruct full call chains from source to sink and determine real-world exploitability before flagging it as a vulnerability.\n\nThis approach finds the complex, multi-step business logic vulnerabilities that have been invisible to traditional tools.\n\n# **Ask**\n\nWe've got a handful of Fortune 500 companies and startups alike excited about this, because it addresses key pain points they couldn’t address with traditional scanners. Customers are seeing 50% fewer false positives on the same codebases, and are finding issues using the scanner that would only appear in pentests and manual code reviews.\n\nWe’ve used it to find 30+ CVEs in projects like Ollama, Gradio, and Ragflow (<https://www.gecko.security/research>). You can [try it on any OSS repo](https://app.gecko.security) at or [get a demo](https://cal.com/geckosec/30min).\n\n# **Team**\n\nJJ and Artemiy met four years ago while studying in London. Since then, they have traveled the world competing in CTFs and hackathons, earning over $100,000 in prizes.\n\nJJ, CEO and Co-founder, previously worked for the UK Intelligence Service, as a teenager building automated tooling to defend critical infrastructure. He also worked at Binance in China leading security tool development for the Red Team. \n\nArtemiy, CTO and Co-founder, served in the Austrian Cyberforces and built threat intelligence platforms used by Interpol and national governments. A scholar of Imperial College London, he’s spent his career developing systems that detect and respond to complex cyber threats",
        "url": "https://www.ycombinator.com/launches/O7D-gecko-security-ai-sast-for-finding-vulnerabilities-in-code",
        "votes": 22,
        "created_at": "2025-08-04T18:13:52.289Z"
      },
      {
        "id": 84816,
        "title": "Gecko Security: Your AI Security Engineer",
        "tagline": "Gecko is an AI SAST for finding and fixes security vulnerabilities in your codebase. It's just like having a security engineer making your code secure.",
        "body": "**TL;DR:** We built [Gecko](https://gecko.security/) for teams that want to build secure code quickly without wasting time on tools that don’t deliver results, or relying on one-time human pentests that quickly become outdated.\n\n![uploaded image](/media/?type=post&id=84816&key=user_uploads/1969797/81233561-38af-49a4-b7ed-03f61aa03ae0)\n\n### **The Problem**\n\nMost developers tell us they think of security as an afterthought, added out of fear rather than part of the development process at the start. This is because current security tools **can’t find critical business logic vulnerabilities**, which are the ones attackers actually exploit, and instead flag low-priority issues with many **false positives**. This makes fixing these issues slow and costly, **pulling engineers away from building** features that grow revenue.\n\n### **The Solution**\n\nGecko uses AI to understand how your application should work, simulates relevant attacks to find critical vulnerabilities, and then verifies these vulnerabilities by exploiting them. It also helps you understand the risk of these vulnerabilities and applies a working fix to **continuously** **keep your code secure**. [Watch our demo here!](https://www.youtube.com/watch?v=ObuItEP3rZk)\n\n### **Technical Details**\n\nAt a high level, Gecko mimics the approach of skilled security experts by using LLM agents combined with program analysis tools like static analyzers, fuzzers, and symbolic executors, which were previously **only used in intelligence agencies**. For fixing vulnerabilities, Gecko uses multiple agents to iteratively refine the patches - ensuring the vulnerability is remediated, and your code isn’t broken. All testing is done in parallel with certified human pentesters, as we continue to benchmark Gecko’s performance to ensure no vulnerabilities are overlooked.\n\n### **Ask**\n\n**Do you have code that needs to be secured?** Email us at [**gecko@gecko.security**](mailto:gecko@gecko.security) or book a demo at [**https://cal.com/geckosec/15min**](https://cal.com/geckosec/15min).\n\n### **Team**\n\n[JJ](https://www.linkedin.com/in/jeevan-jutla/) and [Artemiy](https://www.linkedin.com/in/artemiy-malyshau/) met four years ago while studying in London. Since then, they have traveled the world competing in CTFs and hackathons, earning over $100,000 in prizes. \n\nJJ previously worked for the UK Intelligence Service (GCHQ), as a teenager building automated tooling to defend critical infrastructure. He also worked at Binance in China leading security tool development for the Red Team.\n\nArtemiy holds an MSc from Imperial College London, where he was a scholar. He has contributed to research in multi-agent systems and reinforcement learning. As the first employee and only non-PhD member at his previous company, he developed threat intelligence software for Interpol and national governments. \n\nBoth are deeply committed to cybersecurity and AI, and are focused on solving one of the industry's most challenging problems.",
        "url": "https://www.ycombinator.com/launches/M40-gecko-security-your-ai-security-engineer",
        "votes": 81,
        "created_at": "2024-10-16T21:47:06.425Z"
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    "id": 30407,
    "name": "Golf",
    "slug": "golf",
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    "website": "https://golf.dev/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Golf gives enterprises visibility into shadow AI and control over AI agents and MCP. See what's connected, enforce policies, and generate audit trails - all from one place.",
    "one_liner": "Agentic AI Security and Governance",
    "team_size": 1,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
    "launched_at": 1745255607,
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      "Infrastructure",
      "AI"
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    "batch": "Spring 2025",
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      "America / Canada"
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        "full_name": "Wojciech Błaszak",
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        "founder_bio": "Wojciech is the cofounder & CEO @ Golf.\n\nWojciech started building first company at 14, scaling it to $200k rev. He dropped out of university after one semester to keep building full-time. He has previously worked on multiple AI products, including an AI SDR and infrastructure for AI agents. Wojciech also started a community for young Polish hackers and scientists.",
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        "founder_bio": "Antoni is the cofounder & CTO @ Golf.\n\nAntoni started building at 15 by creating a fully automated 3D printer. He dropped out of university after one semester to keep building full-time. He has previously worked on multiple AI products, including an AI SDR and infrastructure for AI agents. Antoni also started a community for young Polish hackers and scientists.",
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        "tagline": "We provide the tooling to build and operate MCP servers in production - auth, tracing, and a deployment pipeline included.",
        "body": "Hi YC,\n\nWe’re Wojciech and Antoni -  high school friends who’ve been building together since we were 14. We're incredibly bullish on a future where AI agents have their own internet through which they access our services - so much so that we dropped out of university to build Golf.\n\n**Golf lets you ship a production-ready MCP server without worrying about the plumbing.** You just write the tools, prompts, and resources you want agents to call. Golf handles everything else - routing, auth, telemetry, error reporting, and deployment. Then you can observe and manage it through our gateway.\n\nhttps://youtu.be/u9ar4w2uE7E\n\n# **The problem**\n\nOver the past few weeks, we spoke with over 40 teams building MCP servers. Everyone hit the same walls: wiring up authentication, figuring out how to trace agent calls, setting up working transports, and debugging behavior in production. The MCP spec doesn’t cover these parts. Teams told us it takes **2-4 weeks** to get that to production.\n\n# **What we built**\n\n**GolfMCP** is an open-source framework that gives you a clear, file-based structure to define what your agent can call. No decorators, no spec knowledge, no boilerplate - just write your logic.\n\n**Golf Gateway** is the hosted layer that runs and observes your server. golf deploy gives you a live server in under 60 seconds, with real-time traces, tool usage, and error monitoring built in.\n\n![uploaded image](/media/?type=post&id=90569&key=user_uploads/1366358/b035bdc4-02c2-42d5-a230-ad38be34dfa9)\n\n# **Early traction**\n\nWe’re already running Golf in production with companies, and we’ve got more landing this week. \n\n**CTAs**\\\nIf you are looking to ship server for your company, schedule a demo of our platform here: https://golf.dev\\\nAlso we’d love to get your feedback, and we’re happy to help teams get to production faster. Reach us at [founders@golf.dev](mailto:founders@golf.dev)",
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        "full_name": "Bereket Engida",
        "title": "Founder/CEO",
        "founder_bio": "I’ve spent the past few years building developer tools and contributing to open source projects, mostly in TypeScript - including libraries like Better Call, Better Fetch, Loglib and Better Auth. Before that, I worked across several products, which is where I first got obsessed with making dev infra more usable. I care a lot about good DX, clean APIs, and building things that actually ship.",
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        "title": "Better Auth - The Authentication Framework for TypeScript",
        "tagline": "The fastest growing Auth framework for TypeScript: 13K stars + 100K weekly downloads!",
        "body": "Hey! 👋 We’re building Better Auth - a comprehensive, framework-agnostic authentication framework for TypeScript. It lets you roll your own auth directly on your backend and database, without relying on 3rd party services. From basic sign-ins to complex enterprise systems all with great DX.\n\nhttps://www.youtube.com/watch?v=j_HjHmprVOs\n\nAuth has been a pain point for many developers in the TypeScript ecosystem for a while. Other open-source libraries require a lot of additional code for anything beyond basic authentication. So, we set out to build a comprehensive auth library - framework-agnostic, with a robust set of features out of the box, a plugin ecosystem for everything else you might need, and great documentation.\n\n![uploaded image](/media/?type=post&id=90320&key=user_uploads/1184116/dec3dc74-8395-4d83-b062-c2f3271b8164)\n\nSince launching v1 just 5 months ago:\n\n* **13K+ GitHub stars** and **350K+ monthly npm downloads**\n* We've grown into one of the **most influential** and **well-loved** open source projects in the TypeScript ecosystem.\n* Used in production by great teams including YC companies and major OSS projects including [folo](https://github.com/RSSNext/Folo), [same](https://same.new/), [dokploy](https://github.com/Dokploy/dokploy), [zero](https://github.com/Mail-0/Zero), [onejs](https://github.com/onejs/one) and many more.\n* We’re the recommended auth library by **Next.js, Nuxt, Astro**, and other top JS frameworks.\n* A thriving community with **5K+ members on Discord,** **7K+ followers on X**, and a growing ecosystem of adjacent libraries built by community members.\n* Featured by creators like Theo, Dev Ed and more\n\nTo take it further, and after seeing the pain points of our current users, we're building an **infrastructure layer** on top of the framework to extend the library with functionality we can't offer through the framework alone:\n\n* A comprehensive admin dashboard with user management & analytics\n* Bot/fraud/abuse detection\n* Global session storage\n* and more…\n\nTo be clear – we’re not building a third-party auth service. Our goal is to make rolling your own auth so ridiculously easy that you’ll never need one.\n\nGet started with the library here: [better-auth.com/docs/installation](http://better-auth.com/docs/installation)\n\nJoin the waitlist for infra: http://better-auth.build/\n\nStar the repo: https://github.com/better-auth/better-auth",
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    "name": "Tinfoil",
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    "long_description": "Tinfoil makes it easy to make your AI workloads secure and provably private. You get the privacy of on-prem deployments, while running on the cloud. It's like end-to-end encrypted messaging but for your AI applications. \r\n\r\nWe’ve built a full-stack platform on top of the latest NVIDIA GPUs offering confidential computing capabilities, meaning that you don’t have to trade off performance for privacy. We integrate a suite of recent advances in secure hardware technologies, in particular NVIDIA’s confidential compute mode available on Hopper and Blackwell. When combined with Tinfoil’s software stack, companies can prove their security claims like \"we can't see and don’t log your queries.” Tinfoil guarantees that all data always stays private and cannot be accessed by anyone other than the end user -- not even by Tinfoil or the cloud provider it’s processed on. Everything can be made end-to-end encrypted and private with Tinfoil. \r\n\r\nThe founding team combines deep academic and industry experience in security and Internet protocols. Tanya was previously a systems engineer at Cloudflare, where she built Internet security protocols used by billions, and contributed to the Workers AI platform. Jules and Sacha hold PhDs from MIT, where they worked on secure hardware, cryptography, and privacy technologies. Jules has also worked at NVIDIA on their confidential computing team. Tinfoil was born from our personal frustration with the false choice between access to powerful AI and the massive data privacy implications of deeply integrated AI.\r\n\r\nAI is a universal tool that becomes part of our personal lives and business workflows. In the process, it needs access to all personal, private, and proprietary data. Right now, the only solutions are data processing agreements (i.e., \"pinky promises\"), band-aids like PII redaction that don't work in practice, or AI locally/on-prem, which doesn't scale. Tinfoil promises to unlock significantly deeper AI adoption and integrations by making it easy to obtain true privacy, just as TLS on the Internet enabled e-commerce to flourish by securing credit cards on the network.\r\n\r\nToday we offer several self-serve products: \r\n\r\n- A consumer-facing chatbot that keeps your chats end-to-end encrypted and provides zero-access inference with powerful open-source models like Kimi, Gemma, and GLM. You can try it out for free: https://chat.tinfoil.sh\r\n\r\n- A developer-friendly API that allows you to build AI applications where all user data is kept private and we as the inference provider cannot see any of the prompts. Our SDKs make sure that all relevant security measures are checked for you before even sending a single byte of data. Learn more:https://docs.tinfoil.sh \r\n\r\n- An advanced confidential computing platform we call Tinfoil Containers that allows you to secure any Docker application. We make it easy to deploy your own logic and applications inside secure enclaves and prove to the world what code is running inside. This enables attested workloads and publicly verifiable privacy policies for sensitive applications. Learn more: https://tinfoil.sh/containers ",
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        "full_name": "Tanya Verma",
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        "full_name": "Jules Drean",
        "title": "Founder",
        "founder_bio": "Jules has an MIT PhD in secure hardware and confidential computing. He has industry experience working at Microsoft Research and NVIDIA on the technologies underlying Tinfoil. During his PhD, Jules has built secure enclaves from the ground up and studied how to attack and defend these systems against advance microarchitectural attacks. His work also looked at using trusted hardware to securely deploy advanced cryptographic primitives such as FHE and MPC.",
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        "full_name": "Sacha Servan-Schreiber",
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        "founder_bio": "Co-founder of Tinfoil | PhD at MIT in cryptography\n\nPersonal website: sachaservanschreiber.com ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sacha-servan-schreiber-308341305",
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      {
        "id": 90590,
        "title": "Tinfoil: Verifiable Privacy for Cloud AI",
        "tagline": "We host models and AI workloads on the cloud while guaranteeing zero data access and retention",
        "body": "Sending your most sensitive or proprietary data to OpenAI et al?\n\nSick of deals getting stalled during enterprise or government security reviews?\n\nHate deploying on various configurations of on-prem infrastructure environments?\n\nSay less ✋\n\nWe’re [Tanya](https://www.linkedin.com/in/tanya-verma-130a23124/), [Jules](https://www.linkedin.com/in/jdrean/), [Sacha](https://www.linkedin.com/in/sacha-servan-schreiber-308341305/) and [Nate](https://www.linkedin.com/in/nate-sales/) from[ Tinfoil](https://tinfoil.sh/). What we’re building at Tinfoil sidesteps these concerns because we can host models while guaranteeing zero data access and retention.\n\nWe let you run powerful models like Llama, Deepseek R1 on cloud GPUs without you having to trust us – or the cloud provider – with your private data.\n\nSince AI performs better the more context you give it, we think solving AI privacy will unlock more valuable AI applications, just how TLS on the Internet enabled e-commerce to flourish knowing that your credit card info wouldn't be stolen by someone sniffing internet packets.\n\nhttps://youtu.be/wnwI22qT-QQ\n\n**Who we are**\n\nWe come from backgrounds in cryptography, security, and infrastructure. Jules did his PhD in trusted hardware and confidential computing at MIT, and worked with NVIDIA and Microsoft Research on the same, Sacha did his PhD in privacy-preserving cryptography at MIT, Nate worked on privacy tech like Tor, and I (Tanya) was on Cloudflare's cryptography team.\n\n We were unsatisfied with band-aid techniques like PII redaction (which is actually undesirable in some cases like AI personal assistants) or “pinky promise” security through legal contracts like DPAs. We wanted a real solution that replaced trust with provable security, and addressed our personal frustration with the false choice between exploring cutting-edge AI capabilities and personal privacy.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcicUJrVGkJrvHFqW2CaNEpGzvSfbjySaAR3k-Q8fbf56JtXg8xAJa5MJrYn-RIdJjFirmZ4khWay_UpV6WhnZKZEE9ApI5HX97jRKGw4mJOTblXrujRY_9xcCvGPL139p2QaKd1g?key=xi6EV3GMAYXvlmorGP948w)\n\n**The magic sauce**\n\nRunning models locally or on-prem is an option, but can be expensive and inconvenient. Fully Homomorphic Encryption (FHE) is not practical for LLM inference for the foreseeable future. The next best option is using secure enclaves: a secure environment on the chip that no other software running on the host machine can access. This lets us perform LLM inference in the cloud while being able to prove that no one, not even Tinfoil or the cloud provider, can access the data. And because these security mechanisms are implemented in hardware, there is minimal performance overhead.\n\nUp until recently, secure enclaves were only available on CPUs. But NVIDIA confidential computing recently added these hardware-based capabilities to their latest GPUs, making it possible to run GPU-based workloads in a secure enclave.\n\nBelieve it when you see it, but Tinfoil has negligible performance overhead despite the strong security & privacy guarantees.\n\n**Getting Started**\n\n**The best part is you can start using confidential AI chat and inference with Tinfoil today!**\n\n**Try our private chat: [tinfoil.sh/chat](http://tinfoil.sh/chat).**\n\n[**https://www.youtube.com/watch?v=FuFszT0_vXk**](https://www.youtube.com/watch?v=FuFszT0_vXk)\n\n**Build with our API:** Drop-in replacement for the OpenAI chat-completions API with Tinfoil\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfBq_bx4bvZAzdB9BTzMg9KSE8UB2bKQO5uqfF5eoZkEWZFUtlbFnZpeD-m_PwaCVgUWftTt3QDLTW-r84u2dvUEGQ0ddbbQuq082ClI48l2cY4jWX-kWG1G6ZfwjNh8GN-EdAVJg?key=xi6EV3GMAYXvlmorGP948w)\n\nWe support several popular open source models like Deepseek R1 70B, Llama3.3 70B, Mistral 3.1 24B. Missing your favorite model? Just ask us to add it!\n\nTry out our free version running Llama3.3 70B in [Colab](https://colab.research.google.com/drive/1DhpUSmSWjxERnEo3U0qyAyApfcdIhvMv?usp=sharing).\n\nSee how Nate psychoanalyzes himself by sending all his iMessage chats to Tinfoil!\n\nhttps://www.loom.com/share/2381c02ba51043528c6d3bdf61270bc0?sid=9ea0e955-ae68-4ce4-9c86-d06cab18d25c\n\n**Deploy your AI Application**: Make your AI application enterprise-ready in a matter of minutes. Here's a demo of how you can use Tinfoil to run a deepfake detection service that could run securely on people's private videos:\n\nhttps://www.youtube.com/watch?v=_8hLmqoutyk\n\nWe encourage you to be skeptical of our privacy claims. Verifiability is our answer. It’s not just us _saying_ it’s private; the hardware and cryptography let _you_ check. Here’s a guide that walks you through the verification process:[ ](https://docs.tinfoil.sh/verify)https://docs.tinfoil.sh/verification/attestation-architecture.\n\n**The Ask**\n\nIf you think this sounds interesting, or too good to be true, contact us at [**founders@tinfoil.sh**](mailto:founders@tinfoil.sh)**!**\n\nWe’d love to hear from you, whether you’re a:\n\n* startup looking to sell into regulated industries\n* government agency that does everything on-prem but doesn’t trust your AI team to handle sensitive data\n* neocloud trying to secure enterprise customers in regulated industries that don’t migrate from the big clouds to you\n* company providing your employees dead-simple confidential LLM chat app\n\nYou can also learn more on our [**blog**](https://tinfoil.sh/blog), and subscribe to our [**LinkedIn**](https://www.linkedin.com/company/tinfoil/) and [**Twitter**](https://x.com/TinfoilAI) to follow updates!",
        "url": "https://www.ycombinator.com/launches/NZ8-tinfoil-verifiable-privacy-for-cloud-ai",
        "votes": 44,
        "created_at": "2025-05-21T14:22:18.121Z"
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    "id": 30535,
    "name": "Cotool",
    "slug": "cotool",
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    "website": "https://cotool.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Cotool builds AI agents and the infrastructure around them to help security teams detect threats, investigate alerts, hunt for attacks, and respond.\r\n\r\nOur agents work across a team's security tools and data. They investigate alerts, write and tune Python detections, and turn threat intelligence into hunts and new coverage. Teams can customize agents around their workflows, inspect the evidence, edit detection logic, and bring humans in when judgment or approval matters.\r\n\r\nUnderneath the agents, Cotool provides log storage and search built for their workloads, with access to data where it already lives. The goal is to give security teams more capacity to defend their companies as their environments and workloads grow.\r\n\r\nTeams at Ramp, EliseAI, ClickHouse, Legora, and many more use Cotool.",
    "one_liner": "Security operations optimized for agents.",
    "team_size": 8,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
    "launched_at": 1747110142,
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        "body": "Hey everyone 👋\n\nWe're [Eddie](https://www.linkedin.com/in/eddieconk/), [Logan](https://www.linkedin.com/in/logan-carmody/), and [Max](https://www.linkedin.com/in/mmpollard/) – co-founders of [Cotool](https://cotool.ai).\n\n### TL;DR\n\nCotool uses AI to automate repetitive security workflows so teams can focus on threat hunting instead of manual tasks. Our early users have used the copilot and agents to cut investigation time by 90% and increase detection quality & coverage. Book a demo to learn how you can do the same!\\\nhttps://www.youtube.com/watch?v=GnyZuJGQ5C0\n\n### ❌ The Problem\n\nSecurity is complex, but the problems facing most teams are not:\n\n1. Alert Fatigue: Hours lost to false positives, while genuine threats slip by unnoticed.\n2. Context Switching: Investigations requiring constant toggling across 5-10 disconnected tools just to assemble basic context.\n3. Documentation Overhead: Teams spend more time as technical writers than security practitioners, bogged down in endless reporting.\n\nBefore founding Cotool, we collaborated with cutting-edge security teams including OpenAI, Coinbase, Figma, and DoorDash, experiencing these universal challenges firsthand.\n\nAdvancements in AI now offer an opportunity to truly reimagine this model; by building intuitive, collaborative tools that complement, not replace, security professionals.\n\n### 👷 Our Solution\n\nCotool provides a suite of Agents and an AI co-pilot designed specifically for security teams, streamlining workflows and reducing frustration through:\n\n* Seamless Investigations 🔍: A true AI co-pilot that works alongside security engineers during alert triage, investigations, and detection engineering; automatically gathering relevant context from across tools so they can focus on reasoning, not tool-hopping.\n* No-code Agents 🤖: Turn successful debugging flows into reusable agents, then refine their behavior with natural language prompts and connect them to any tools Cotool has access to, with granular permission controls.\n* Automated Documentation 📊: Generating thorough, accurate reports in seconds, freeing up valuable security practitioner time.\n\n![uploaded image](/media/?type=post&id=90398&key=user_uploads/2254937/d59dd9d1-e396-4f77-8dce-283a5e31c4ee)\n\n### 👨‍💻 The Team\n\nWe have worked together for years and co-founded Cotool in 2025.\n\n[Max Pollard](https://www.linkedin.com/in/mmpollard/) (CEO) led the forward deployed engineering team at Material, working directly with security teams to understand their workflows and pain points. He built the team up from one to 8 engineers and embedded himself with the world's best security programs. Previously he worked as a SE at Okta. He holds a BA in Business and Computer Science from UC Berkeley.\n\n[Eddie Conk](https://www.linkedin.com/in/eddieconk/) (CPO + Head of AI) spent the last 3 years at Material Security, leading the ML Engineering function. He developed and trained AI models for detecting Phishing emails at scale for some of the largest and most secure companies in the world. Previously he was an ML Engineer at Apple, and holds a BA in Computer Science from UC Berkeley.\n\n[Logan Carmody](https://www.linkedin.com/in/logan-carmody/) (CTO) was an early engineer and the technical lead for the Phishing Protection product at Material Security. He helped develop the proprietary language and compiler which Material’s threat researchers used to detect Phishing messages and Workspace breaches. He previously was a Staff SWE at LinkedIn working in infrastructure, and holds a BS in Computer Science and Philosophy from Duke University.\n\nTogether, we've spent years embedded with some of the world's best security teams. We're passionate about helping security teams focus on what they do best – hunting threats, not handling workflows.",
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        "body": "### **TL;DR**\n\nAlter sits in the middle of every AI agent interaction, verifying identity and applying fine-grained RBAC & ABAC to check every parameter against policy. It instantly rejects dangerous actions and provides clear audit trails logging every request/response and decision.\\\n\\\nInterested? Learn more and request beta access at [alterai.dev](http://alterai.dev)\n\nDon’t want to read? Here is a video explaining what we do in a nutshell\n\n[Identity And Access Control Platform To Secure Agents | Alter (YC S25)](https://www.youtube.com/watch?v=UX0ACmMXpMg)\n\n**The Problem**\n\n**Dangerous:** Long-lived credentials and over-scoped service accounts mean a single leak can give an agent the keys to production letting it run destructive commands, exfiltrate sensitive data, or trigger costly transactions.\\\n**Opaque:** Scattered logs and siloed security make it impossible to trace “which agent did what, with which parameters” when something goes wrong, leaving teams blind in audits or incident response.\\\n**Slow:** Security reviews drag on for weeks because least-privilege and policy checks are hard to implement at scale, delaying projects and eroding velocity.\\\n**Overexposed:** Agents often get blanket root access, with no guardrails to stop prompt-injection or malicious payload swaps, so one bad input can become a catastrophic action.\\\n**The result:** enterprises face agents that _can_ and _do_ take unsafe actions in production, forcing teams to choose between unacceptable risk or shelving AI initiatives entirely.\\\n**\\\nOur Solution**\n\nAlter is the safest way to run AI agents in production without giving them blanket credentials or risking compliance breaches. From one central control layer, organizations can:\n\n* Host or connect to all their tools. We support MCP and Native tools (A2A coming soon)\n* Approve or deny any agent request in real time, with identity verification baked into every call.\n* Apply parameter-level RBAC & ABAC so dangerous actions like drop table commands in prod, during a freeze never reach production.\n* Instantly grant seconds-lived, scope-narrowed tokens so agents get only the access they need, only for that task.\n* Remove the need for long-lived API keys entirely, eliminating one of the biggest security liabilities.\n* See exactly what every agent did, when, and with what parameters, all in one CISO-ready dashboard.\n* Pass SOC 2, HIPAA, and GDPR audits without slowing down because compliance controls run automatically in the background.\n* Scale to any number of agents and tools without creating security silos or over-permissive access.\n\n### **The Team**\n\nWe are Srikar and Kevan.\\\n\\\nWe previously built enterprise-grade infrastructure at ComputeAI and Goldman Sachs, powering mission-critical systems for the London Stock Exchange and the Apple Card launch. Now we’re using that experience to make AI agents safe for production by giving them only the access they need and only for as long as they need it.\\\n**\\\nOur Ask**\n\nWe’re looking to connect with:\n\n* Engineering and security leaders running AI agents in production\n* Enterprises in regulated industries (finance, healthcare, government) with strict compliance requirements\n* Startups building AI-first products that need zero-trust access controls\n* Infosec teams looking to eliminate long-lived credentials and enforce least-privilege by default\n\nAs a bonus, we have also partnered with former OpenAI cybersecurity experts to provide you with ongoing red teaming, catching prompt-injection, data exfiltration, and other exploits before attackers can.\n\nIf you or someone you know is interested, please reach out to us at [**founders@alterai.dev**](mailto:founders@alterai.dev) or book a time to chat.",
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        "title": "Pangolin – Open-source secure gateway to private networks",
        "tagline": "Pangolin tunnels your services to the internet so you can access anything from anywhere.",
        "body": "**TL;DR: [Pangolin](https://digpangolin.com) is an [open-source](https://github.com/fosrl/pangolin) cloud and self-hostable alternative to Cloudflare Tunnels, Zscaler ZPA, and Ngrok. Pangolin provides a simple way to securely expose applications on private networks with identity-aware access control and high availability.**\n\nWe’ve seen incredible early traction since we launched 5 months ago: **12,600+ GitHub stars, 140,000+ installs, 2,700+ Discord members**. \n\nhttps://youtu.be/0nv91PgCm9M\n\n\"Pangolin isn't just a fantastically easy-to-configure VPN and reverse proxy; it's a revelation in self-hosting simplicity.\" XDA Developers\n\n**The problem:**\n\nProviding users with secure access to internal tools and infrastructure is cumbersome for both end users and administrators. They're forced to manage complex VPN clients, servers, and network configurations that create friction and operational overhead. Traditional and mesh VPN approaches require layered ACL management to control which users can access specific resources, turning simple access requests into complex network engineering problems.\n\n**Our solution:**\n\nDrop in the Pangolin connector in your network, and:\n\n* **Expose anything to the internet:** Instantly create a secure tunnel with your domain and SSL to internal dashboards like Grafana, or any other services on your private network and access via web browsers.\n* **Manage access control with ease:** Grant access to your resources with user and role-based permissions, PIN codes, temporary share links, or email OTPs. Bring your existing users by integrating an external identity provider.\n* **Own your infrastructure:** Self-host your own Pangolin Nodes, so data flows through your servers, and our cloud will handle coordination and failover for out-of-the-box high availability.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfMGfOAnChfvZ2vFva0IbL-s3dj1O50IP8cfgGf7h9IDz3ViH_tHbtHEwr_bdecGPerQPY-HSRMtoRLmJew9IlaQqpQQY_1JJBluOAEKCqsWjvusZMgy_9Y5FPVvjo68nGNaZ0Uig?key=2GXukewhPJ8smnttAaub3w)\n\n\"A self-hosted version of Cloudflare Tunnels on your terms. By your terms, I mean on the infrastructure of your choice.\" Lawrence Systems\n\n**Deployment options:**\n\n* **Enterprise:** Self-host the entire system on-premises with complete control over all system components.\n* **Hybrid:** Self-host Pangolin Nodes on internal infrastructure while leveraging our cloud service for automatic failover coordination.\n* **Cloud:** Fully managed service where organizations only run network connectors to expose resources.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXc8cH83Sxqj5M57XuqQm_sofqW-Qn1sfTvTEsaTg4xYVAfRh_33XNMI8QDJrqibWqIQNVLLFHBob1vASk5ZnaX8KF5nZfY2eXYOwMp-n9UzOzyEHQUiocK89KT8izCeFG1CaEJ5xA?key=2GXukewhPJ8smnttAaub3w)\n\n**Get started:**\n\n* Website:[ https://digpangolin.com](https://digpangolin.com)\n* GitHub: https://github.com/fosrl/pangolin\n\n\"Its streamlined deployment has left janky WireGuard configurations and Cloudflare tunnels in its dust.\" [selfh.st](http://selfh.st)\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdXJ0wOsKzIrKFRWntnI4mgQRM3dcsgCMe7-t3poZP4A56J7SxiqqTdPU85bzNvvTXCO5Nuu7hRM2fXyvHrAbn55MzAd2N0J374OuDMoY8PdFgfa9jg9f2eRBgYzQqfCl-Srx3t?key=2GXukewhPJ8smnttAaub3w)\n\nWe are Owen and Milo Schwartz (brothers) who previously worked together as founding engineers at a successful smart mobility startup, working on connectivity and automation solutions for public infrastructure. We are passionate about building the next generation of simple networking tools.\n\n“I’m addicted to Pangolin” [u/ParadoxHollow](https://www.reddit.com/r/selfhosted/comments/1kqrwev/im_addicted_to_pangolin/?utm_source=share&utm_medium=web3x&utm_name=web3xcss&utm_term=1&utm_content=share_button)\n\n**The ask:**\n\nWe’d love for the YC community to try out [Pangolin Cloud](https://pangolin.fossorial.io/auth/signup) and give us your feedback!\n\nWe are also looking for any warm intros to people who might be interested in the product - particularly businesses with on prem applications or field equipment in the IoT space.\n\n**Contact:**\n\n[founders@fossorial.io](mailto:founders@fossorial.io)",
        "url": "https://www.ycombinator.com/launches/O0B-pangolin-open-source-secure-gateway-to-private-networks",
        "votes": 85,
        "created_at": "2025-07-18T07:08:50.979Z"
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  {
    "id": 30702,
    "name": "TwentyTwo",
    "slug": "twentytwo",
    "former_names": [
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      "Mohi"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5be6b2304553a4bca9bfa1f2953ae02638a8d430.png",
    "website": "https://twentytwo.bio/",
    "all_locations": "New York City, NY, USA",
    "long_description": "AI is making biology easy to engineer. Life-saving drugs and therapies are accelerating, but so is the ability for bad actors to create a pandemic. TwentyTwo is working on the defensive stack to prevent the next pandemic.",
    "one_liner": "AI infrastructure for biosecurity",
    "team_size": 3,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Industrial Bio",
    "launched_at": 1753262535,
    "tags": [
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      "Biotech",
      "Compliance",
      "Security",
      "AI"
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2025",
    "status": "Active",
    "industries": [
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/twentytwo",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/twentytwo.json",
    "year_founded": 2025,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/mohi-inc",
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      "name": "Tyler Bosmeny",
      "url": "https://www.ycombinator.com/people/tyler-bosmeny"
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      {
        "user_id": 1970485,
        "full_name": "Evan Seeyave",
        "title": "Founder/CEO",
        "founder_bio": "kurzgesagt and mango enjoyer",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/evanseeyave",
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      {
        "id": 92831,
        "title": "Mohi: Debugging assistant for AI agents",
        "tagline": "Don’t know why your agent messed up? Neither do we. But Mohi will show you exactly where your agents went wrong - and why.",
        "body": "Hey folks! 👋\n\nWe’re building Mohi, a debugging assistant for AI agents. If you've ever spent hours scrolling through 500+ LLM calls asking “what the hell happened?” — this is for you.\n\nhttps://youtu.be/UzQZlUdZ59s\n\n### The Problem\n\nAgents are complicated — tools, memory, web search, nested loops, and hallucinations. And when something breaks, it’s like untangling spaghetti. You’re stuck scrolling through flat logs, guessing which of the _35_ steps silently failed.\n\nIt's slow, brittle, and makes you second-guess your whole stack.\n\n### **The Fix**\n\nMohi makes debugging agents **_fast_**, and **_actually usable_**.\n\nJust tag key steps in your agent with our lightweight SDK (think: tool calls, memory access, context switches, decision logics), and we build a clean visual graph of what happened under the hood. Then we go a step further and show you:\n\n* where your agent last succeeded\n* where it went off the rails (hallucinated, failed tool, wrong branch)\n* and how to re-run broken steps with new inputs\n\nIt’s not just observability. It's a diagnosis.\n\n### **Who We Are**\n\nPreviously, Hao worked on AI and distributed systems observability at AWS, and Evan worked on automated testing at Google and AI evaluations at SecureBio. We met at MIT and worked on a bunch of projects together, eventually building agents ourselves and seeing firsthand how painful debugging can be — so we built Mohi to fix it.\n\n![uploaded image](/media/?type=post&id=92831&key=user_uploads/1675765/aa1f6344-8ce0-4ad5-a5ba-0e203412791a)\n\n### **Our Ask**\n\nIf you’re building complex agents — we’d love to chat!\n\n→[ https://trymohi.com/](https://trymohi.com/)\n\n→ [founders@trymohi.com](mailto:founders@trymohi.com)",
        "url": "https://www.ycombinator.com/launches/O9H-mohi-debugging-assistant-for-ai-agents",
        "votes": 4,
        "created_at": "2026-02-07T00:21:30.007Z"
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    "id": 30875,
    "name": "Veria Labs",
    "slug": "veria-labs",
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    "website": "https://verialabs.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Veria Labs is developing AI agents that hack better than the best human hackers. Founded by members of the #1 US competitive hacking team, we've already found critical bugs in AI tools, operating systems, fintech and billion dollar crypto exchanges. \r\n\r\nNow we're scaling that expertise through AI-native security tooling that operates faster than human researchers while finding deeper, more complex vulnerabilities that traditional tools miss.",
    "one_liner": "Continuous AI pentesting that finds and fixes vulnerabilities",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
    "launched_at": 1758644249,
    "tags": [
      "Security",
      "Cybersecurity",
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Fall 2025",
    "status": "Active",
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      "America / Canada"
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    "stage": "Early",
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    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/veria-labs",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/veria-labs.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/verialabs/",
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    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
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    "founders": [
      {
        "user_id": 2964558,
        "full_name": "Cayden Liao",
        "title": "Founder",
        "founder_bio": "I've previously done work in the Web3 security space writing fuzzers for crypto and zero knowledge protocols. NCAA varsity swimmer and part of the #1 CTF (competitive hacking) team in the US. Prevented the largest hack in crypto history $94B.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/cayden-liao-6b018a272/",
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      },
      {
        "user_id": 948094,
        "full_name": "Jayden Sarveshkumar",
        "title": "Founder",
        "founder_bio": "working on the future of security @ Veria Labs. web hacking @ .;,;. (#1 US competitive hacking team). ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jayden-s/",
        "x_url": "https://x.com/0jayden_",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f58ac057077848126e2af32cae2e0ade1d46e13c.jpg"
      },
      {
        "user_id": 2411026,
        "full_name": "Stephen Xu",
        "title": "Founder",
        "founder_bio": "CEO & Co-Founder @ Veria Labs\n\nPreviously doing Offensive Security @ TikTok, and play on the #1 CTF (competitive hacking) team in the US. Also used to do computational physics research at some point.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/stuxf",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0250381cdafcf8e7303136fa3900d8298e020161.jpg"
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    "launches": [
      {
        "id": 94260,
        "title": "Veria Labs: AI agents that pentest your code continuously",
        "tagline": "Automated penetration testing for modern development teams",
        "body": "👋Hi all, we’re Stephen, Cayden and Jayden from [Veria Labs](https://verialabs.com)!\n\n## TL;DR\n\n* Most companies pentest only 1-2x per year, but high-performing teams deploy multiple times per day \n* We're building AI agents that continuously find vulnerabilities in your application\n* **Our ask:** If you're at a fintech, healthcare, or crypto company that wants to be secure while moving fast, let’s talk: <https://verialabs.com/contact>\n\n---\n\n## The Problem\n\nYou ship code constantly. You test for security once a year, if at all.\n\nThis isn't a startup problem. It's structural. PCI DSS mandates annual pentests. HIPAA requires regular security assessments. Crypto projects get audited before launch. But after that initial test, your codebase evolves, you add features, you refactor, and there's no continuous security validation.\n\nTraditional pentesting is **fundamentally broken** for modern development:\n\n**It's too slow.** Results take weeks to deliver. By the time you get the report, your codebase has changed 50+ times.\n\n**It's too expensive.** $15,000-$30,000+ per engagement. You can't afford to test continuously at these prices, but you also can't afford _not_ to be secure.\n\n**It has terrible coverage.** Pentesters scope to 5-10 application features because that's all they can audit in two weeks. The rest of your codebase gets ignored. Your background jobs, admin panels, internal APIs are all potential attack vectors that never get looked at.\n\n**It's too shallow.** Even within their limited scope, human pentesters are constrained by time. They get 5-10 days, bill $250-300/hour, and move on to the next client. They find the obvious vulnerabilities: SQL injection, XSS, broken auth. But complex, multi-step exploits that require deep exploration of your business logic get missed because there's simply not enough time.\n\nMeanwhile, 1 in 5 companies don't test their software for security vulnerabilities at all.\n\n## Our Solution\n\nWe're building AI agents that run continuously on your codebase and send you actionable results every Monday morning.\n\n**Why we're different from traditional pentesting:**\n\nOur agents aren't constrained by human hours or budgets. We can test exhaustively: every code path, every edge case, every possible attack chain. We're not just faster and cheaper. We find more bugs.\n\n**Why we're different from SAST tools (Semgrep, Snyk):**\n\nStatic analysis tools flag potential issues but can't exploit them. Our LLM-based agents:\n\n* Actually exploit vulnerabilities to prove they're real (no false positives)\n* Understand and adapts to your business logic and data flows\n* Learn your codebase architecture and conventions, which means dramatically fewer false positives\n* Chain together low-severity findings into high-impact exploits\n\n## About Us\n\nWe're members of the [#1 competitive hacking (CTF) team](https://ctf.gg/contests) in the United States.\n\nBetween us, we've found critical vulnerabilities in AI tools, operating systems, fintech apps, and billion-dollar crypto exchanges. The future of security testing is automated, and we're building it.\n\n## What We’re Looking For\n\nIf you:\n\n* Deploy code daily but test for security sporadically (or never)\n* Are spending $30K+ per year on pentests that are outdated within weeks\n* Need continuous security without hiring an entire red team\n* Want to find complex vulnerabilities before attackers do\n\nLet's talk: <https://verialabs.com/contact>\n\nWe're especially interested in working with **fintech, healthcare, and crypto companies** (where the stakes are highest), but if you're facing similar challenges in other industries, we'd love to hear from you too.\n\n![uploaded image](/media/?type=post&id=94260&key=user_uploads/2411026/8021be6a-59f2-4d9c-9c43-ec32d957299e)\n\n",
        "url": "https://www.ycombinator.com/launches/OWK-veria-labs-ai-agents-that-pentest-your-code-continuously",
        "votes": 16,
        "created_at": "2025-10-01T13:55:13.126Z"
      }
    ]
  },
  {
    "id": 30900,
    "name": "LogosGuard",
    "slug": "logosguard",
    "former_names": [
      "Logos AI"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/028016b5518081901c8e2d5a5483ea0f04a88946.png",
    "website": "https://logosguard.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Use AI tools like ChatGPT, Claude, and Gemini safely without leaking sensitive data. LogosGuard redacts your private information before the prompt ever leaves your device.",
    "one_liner": "The sensitive data redaction layer for AI",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1762810607,
    "tags": [
      "B2B",
      "Compliance",
      "Security",
      "Cybersecurity",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Fall 2025",
    "status": "Active",
    "industries": [
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    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/logosguard",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/logosguard.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/logosguard/",
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      "name": "David Lieb",
      "url": "https://www.ycombinator.com/people/david-lieb"
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    "founders": [
      {
        "user_id": 1360462,
        "full_name": "Abel John",
        "title": "Founder/CTO",
        "founder_bio": "Cofounder at Logos Guard",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/abel-john-85a7551b6",
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      {
        "user_id": 1963504,
        "full_name": "Sukrut Oak",
        "title": "Founder/CPO",
        "founder_bio": "Cofounder at LogosGuard",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sukrut-oak/",
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    "launches": [
      {
        "id": 95396,
        "title": "LogosGuard: The risk management software for enterprises adopting AI",
        "tagline": "Evaluate your AI risk, responsibly.",
        "body": "Hey everyone! We’re[ Sukrut Oak](https://www.linkedin.com/in/sukrut-oak/) and [Abel John](https://linkedin.com/in/abel-john-85a7551b6) from[ LogosGuard](https://logosguard.com/).\n\n**TL;DR**\n\nEnterprises are racing to adopt AI, but often don't have the right controls in place or know how to verify vendors are compliant. LogosGuard turns AI policies into executable controls, stress-tests your AI products, and continuously monitors changes, giving enterprises the confidence to scale AI responsibly.\n\n**The Problem**\n\nSOC-2 wasn’t designed for AI. Without the right controls in place, enterprises are having to rely on outdated standards or navigate a fragmented landscape of nascent AI frameworks (think NIST AI RMF, ISO 42001, and CSA AICM). The result: slow approvals for new projects and vendors, inconsistent and insufficient reviews, and no reliable way to prove an AI product still meets policy after it changes.\n\n**The Solution**\n\n**LogosGuard** is an AI governance and assessment platform that fits into your existing procurement and compliance systems, and produces reports your teams can act on:\n\n* **Build your AI Controls baseline.** We translate leading controls frameworks, including NIST AI RMF and ISO/IEC 42001, and your internal policy, into a clear set of AI controls. We help you understand and choose controls tailored to your industry, and keep up to date with the continuously changing state and federal regulations.\n* **Stress test the AI features.** We run targeted evaluations for prompt-injection, harmful guidance, PII mishandling, access-control gaps, transparency failures, robustness, and more.\n* **Continuous monitoring.** When vendors update models and features, we re-run the key tests continuously and alert you if risk rises over time.\n* **Painless reporting.** We provide executive summaries, auditor-ready evidence, and a searchable record of decisions so compliance, information security, and leadership see the same truth.\n\n**Impact**\n\n* Vendor risk reviews in days, not months\n* Maintain a robust set of AI controls, with regulatory compliance informing policy updates\n* Catch drift before incidents occur with continuous monitoring\n\n**Why us**\n\n* **Sukrut Oak** — Stanford BS/MS (CS, AI); 3+ years AI safety and benchmarking research; ex-AI engineering at Apple’s Health team; ex-SpaceX.\n* **Abel John** — Stanford BS/MS (CS, AI); ex-AI engineering at Apple; ex-MTS at Accordance (AI for tax accounting - backed by Khosla, Sequoia, and more)\n\n**Our Ask**\n\n* Warm intros to CISOs, CIOs, or anyone who signs off on new AI deployments.\n\nWe’d love to chat. Reach out to us at [founders@logosguard.com](mailto:founders@logosguard.com) or find a time on[ our calendar](https://calendly.com/d/cw55-rnb-3w8/logos-guard-demo)! If you’re in SF, coffee is on us:)\n\n[Launch Video](https://www.youtube.com/watch?v=UZL54wns8nI)",
        "url": "https://www.ycombinator.com/launches/Ooe-logosguard-the-risk-management-software-for-enterprises-adopting-ai",
        "votes": 231,
        "created_at": "2025-11-11T00:36:13.063Z"
      }
    ]
  },
  {
    "id": 31506,
    "name": "Tolmo",
    "slug": "tolmo",
    "former_names": [
      "Droid Factory"
    ],
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    "all_locations": "San Francisco, CA, USA",
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        "title": "Nebula Security: Bringing beyond Mythos protection to your product",
        "tagline": "#enterprise #cybersecurity #security #pentest #b2b",
        "body": "**TL;DR:** AI has changed cybersecurity. Don't let the next HuggingFace incident happen to your product. Hire VEGA, your best security engineer — a cybersecurity agent built by the world's best hacking team. It brings the same capabilities used to uncover critical vulnerabilities in browsers, operating systems, and internet infrastructure to protect your product. [Book a demo](https://nebula-security.cal.com/etenz/30min?overlayCalendar=true) today or find us at <http://nebusec.ai>\n\n**The Problem:** Cybersecurity has changed. When the attackers have AI, how do you prevent the next HuggingFace incident from happening to your product?\n\nWe are here at Nebula Security for one reason, we are building the **world’s best cybersecurity agent**, bringing beyond Mythos protection to your product. \n\n### AI makes you fast. We make you secure\n\nIntroducing **VEGA**, the best cybersecurity agent that is built by the world's best hackers. An agent that has discovered critical vulnerabilities in major infrastructure and earned over **$400K** in rewards from Google.\n\nWatch our [launch video](https://youtu.be/gOzg5M5DhXI)\n\nWith VEGA, you can:\n\n* Autonomously find bugs in your codebase\n* Monitor code changes 24/7\n* Analyze root causes and generate Proofs of Concept\n* Provide ready-to-use patches\n* Understand the overall code health\n\nYou focus on bringing your product to the world. We manage the security.\n\n# The world saw the proof\n\nWhile ~~other companies~~ create hypes, we show you the proof.\n\nVEGA discovered\n\n* [IonStack](https://x.com/nebusecurity/status/2069707520160227688?s=20): the world's first fullchain exploit to root Android 17.\n* [GhostLock](https://thehackernews.com/2026/07/15-year-old-ghostlock-flaw-enables-root.html): a 15-year-old Linux kernel vulnerability capable of compromising nearly all the Linux devices in the world.\n* [nginx-poolslip](https://x.com/nebusecurity/status/2057071579876753643?s=20) and nginx-quicburst: the world's first and second vulnerabilities capable of remotely control your Nginx servers\n* And 91 more CVEs from Linux, Windows, Chrome Browser, Firefox, Nginx, Wordpress, and the other software you use every day.\n\nWe found vulnerabilities in the world's most complex software. Let us protect your product too.\n\n# The epic hacker team\n\n* Eten (CEO): PhD in Cybersecurity; Pwn2Own winner; speaker at Linux Security Summit, Off-by-One, IEEE S&amp;P, USENIX Security, and NDSS. Previously worked at Microsoft.\n* Yuan (CTO): Previous cybersecurity PhD; Black hat speaker; Bringing VEGA to secure Linux Kernel.\n* Xiaochuan (Research Lead): From the world's #1 hacking team; three-time DEFCON participant; Jailbreak iPhone; Black Hat speaker; Previously worked at Zellic.\n* Frank (Research Lead): From the world’s #1 hacking team; DEFCON participant; Black hat speaker. Built the world’s first Android 17 root exploit.\n\nWe have won over **$400,000** from Google by breaking into their safest system.\n\nLet us show you what we can find in your system. [Book a demo](https://nebula-security.cal.com/etenz/30min?overlayCalendar=true) today.\n\nFind us at <http://nebusec.ai> | Email to [founders@nebusec.ai](mailto:founders@nebusec.ai)\n\n![uploaded image](/media/?type=post&id=106602&key=user_uploads/1626290/4c0c365e-7cc4-469f-9c1c-c04a82c4f1b7)\n\n",
        "url": "https://www.ycombinator.com/launches/RjO-nebula-security-bringing-beyond-mythos-protection-to-your-product",
        "votes": 12,
        "created_at": "2026-07-23T21:25:03.912Z"
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    "id": 32418,
    "name": "Traceforce",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "AI apps such as ChatGPT and Claude have become part of everyone's daily workflow, but they introduce new security risks that traditional security tools weren't built to handle. Security teams at companies from startups to Fortune 500s, are struggling to keep up.\r\n\r\nTraceforce gives a company’s security team visibility of how AI apps are being used across company’s devices, and the ability to detect and prevent security breaches and unsafe actions as early as possible.",
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      {
        "user_id": 2775802,
        "full_name": "Xia Hua",
        "title": "Founder/CEO",
        "founder_bio": "Founder at Traceforce. Previously Director of Engineering at Clumio, managing all flagship ransomware protection products. PhD in Applied Math from MIT.",
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      {
        "user_id": 3675843,
        "full_name": "Varun Wadhwa",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder & CTO at TraceForce. Previously Senior Software Engineer at LinkedIn, leading high-performance database systems for RAG. Before that, Staff Software Engineer at Clumio, leading distributed data infrastructure and backup. Earlier built distributed payments systems at Microsoft. BS in EECS, UC Berkeley.",
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    "launches": [
      {
        "id": 117100,
        "title": "Traceforce TraceGraph – Ask anything about your company's AI usage",
        "tagline": "Know where every AI token goes",
        "body": "**TL;DR:** TraceGraph turns every AI interaction in your company into a fully queryable graph linking users, apps, models, MCPs, and tokens. You can ask questions in plain English, slice the data any way you want, and build agentic workflows on top of it out of the box. Try it free at [traceforce.ai](http://www.traceforce.ai).\n\n**👋 Hi YC, we're Xia and Varun**\n\nWe're the founders of Traceforce (S26), and we're building security and visibility for AI agents running on company devices. We previously built one of the world’s most scalable cyber-resillience systems at Clumio.\n\n**🔥 The problem**\n\nAI usage is exploding, but the data about it is stuck in billing totals and static dashboards. When you want to know which team's agents are burning tokens, which MCPs get called most, or who is using AI in ways that don't fit policy, you end up exporting CSVs or waiting on someone to build a report.\n\n**🕸️ How TraceGraph works**\n\nTraceforce runs on the endpoint, so it captures AI activity across every app and agent. TraceGraph connects that activity into one graph, and that graph lets you do three things:\n\n* **Query anything.** Every user, team, app, model, MCP, and token is a connected node, so you can slice the data in any combination with no predefined dashboards.\n* **Ask in natural language.** For example: _\"Which teams' token usage doubled this month?\"_ or _\"Show Claude Code sessions that called the Supabase MCP.\"_\n* **Build agentic workflows out of the box.** Put agents on top of the graph to flag spend spikes, send weekly usage reports, or escalate risky patterns automatically.\n\n🎥 **Demo:**\n\n<https://www.youtube.com/watch?v=y5FcQI_NggA>\n\n**🙏 Our asks**\n\n* **Try it:** Install in under 5 minutes and see your team's token usage today.\n* **Intros:** Heads of engineering, IT, finance, or security leaders managing AI rollouts and spend.\n* **Feedback:** What would you ask your AI usage data? We'll show you the answer.\n\n📩  xia@traceforce.ai\n\nBook a time <https://calendly.com/d/cm7p-342-xb2/30-minute-meeting-with-xia>",
        "url": "https://www.ycombinator.com/launches/USi-traceforce-tracegraph-ask-anything-about-your-company-s-ai-usage",
        "votes": 7,
        "created_at": "2026-09-28T14:55:58.682Z"
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      {
        "id": 107460,
        "title": "Traceforce — Catch risky agent actions your security gateway will never spot",
        "tagline": "Company-wide security monitoring for AI apps",
        "body": "# \\*\\*\\*\\*\n\n**TL;DR:** AI agents are quietly pulling secrets off your employees' laptops — and your security gateway can't see it. Traceforce installs in under 5 minutes and gives you a full inventory of every AI app, MCP, and skill running on every device, then lets you block the dangerous stuff in real time. Built by the ex-Clumio engineering team. Traceforce is already deployed on 6,000+ devices across 10+ enterprise customers, with 40+ active pilots worth $3M+ in ARR. Try it free at [www.traceforce.ai](http://www.traceforce.ai).\\\n\\\n**The incident that started this**\\\nAt our last company, an AI coding agent running on a developer's laptop scraped what looked like database credentials and pushed them straight into a public GitHub repo. It took us _weeks_ to investigate, rotate credentials, and clean up the fallout. We got lucky — they were dev-environment creds, so no customer was affected. Next time, nobody will be that lucky.\\\n\\\nThat's the whole problem with AI at work now: ChatGPT, Claude, Cursor, and Claude Code are everywhere on employee devices, wired into your data through MCPs and skills that no one is tracking. The tools your security team already owns — gateways, proxies, enterprise APIs — never see any of it, because the risky action happens _on the device_, before it ever hits the network.\\\n\\\n**Why us**\\\nWe're Xia and Varun. We ran engineering at Clumio, a cyber-resilience company acquired by Commvault in 2024, where Xia was Director of Engineering and Varun was tech lead. We've spent our careers building security infrastructure — and we validated this problem with 50+ CISOs and CIOs before writing a line of code. Every one of them said the same thing: \\_I need to see and control this without slowing my engineers down.\\_\\\n\\\n**Why on-device — and why gateways can't do this**\\\nCompetitors sit at the gateway or plug into enterprise APIs. That misses the self-adopted AI tools employees install themselves, and it can't see how an agent is actually connected to your data via MCPs. Traceforce runs on the endpoint, so we see the full picture — which AI apps are running, what MCPs and skills they're wired to, what data they can reach — and we can _warn or block_ an unsafe action the moment it happens, not after it's already on the network.\\\n\\\n**What you get**\n\n* Install in &lt;5 min. Full inventory of every AI app, MCP, and skill across your devices within 30 minutes.\n* Discover shadow AI and see exactly how each agent connects to your data sources.\n* Real-time controls: warn and block unsafe actions (like uploading a client list to a chatbot) before they happen.\n* Open-source MCP pentesting: we also built [mcp-xray](https://github.com/traceforce/mcp-xray) to dynamically detect vulnerable MCPs — try it today.\n\n\\\n**Traction**\n\n* Securing 6000+ employee devices across 10+ enterprises.\n* Customer quote from a leading database provider with over 500 employees: “To govern AI, we need full visibility into AI usage before we can place any type of controls. Traceforce gives us both visibility and control we needed”.\n* 40+ Active pilots including multiple Fortunate 500 enterprises.\n\n<https://www.youtube.com/watch?v=a0OPq8vdDV0>\\\n\\\n**Our ask**\n\n* **Intros** to security engineers, security architects, DevSecOps teams, or CISOs securing AI adoption. (We're the ex-Clumio team — that's usually enough to get a conversation.)\n* **Try Traceforce free** on your own laptop — &lt;5 min to install, and we want candid feedback, good or bad.\n* **Challenge us:** tell us which AI apps, MCPs, or workflows we should support next.\n* **Share** with anyone wrestling with security over ChatGPT, Claude, Cursor, Claude Code, or custom MCPs.",
        "url": "https://www.ycombinator.com/launches/RxE-traceforce-catch-risky-agent-actions-your-security-gateway-will-never-spot",
        "votes": 7,
        "created_at": "2026-07-28T16:50:42.184Z"
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    "id": 33047,
    "name": "Decawork",
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    "website": "https://decawork.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "An agent’s access should depend on the task it is doing. The same action can be appropriate for one task and wrong for another. Access decisions need to adapt in real time as the agent works, but companies can’t turn every business judgment into a fixed rules or have people manually approve every step.\r\n\r\nWe train small, company-specific models that approve AI actions in real time. They consider the company’s policies and interests, the agent’s current task, and its past actions to decide whether each proposed action should be allowed. Access is specific to the task at hand and reassessed as the agent works.\r\n\r\nCompanies will rent intelligence from AI labs or run open-source models to power their agents. They’ll own the models that keep their entire AI workforce acting in their interests. Decawork is building those models.",
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        "user_id": 1632535,
        "full_name": "Aman Raj",
        "title": "Founder/CEO",
        "founder_bio": "- Built AI compliance platform at Barclays used by internal teams globally\n- Founded a fintech and scaled it to 52K families and $1.5M AUM\n- Led product at a consumer AI startup, scaled to 100K+ MAU (Google Play Best App 2024)\n- IIT Kharagpur",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/aman-raj-84636a158",
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      {
        "user_id": 1049492,
        "full_name": "Sarthak Aggarwal",
        "title": "Founder/CTO",
        "founder_bio": "- AI systems at NVIDIA (deployed at OpenAI, Meta)\n- Enterprise AI at Ema (used by Microsoft, Hitachi)\n- Led Conquest, Asia's largest student-run accelerator\n- Google Code-In Global Winner + Open source since the age of 12\n- BITS Pilani",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sarthak-agg/",
        "x_url": "https://x.com/_sarthak4",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f93e2ff857332071c545c3c16f569835408cf579.jpg"
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      {
        "id": 109883,
        "title": "Decawork - Training company-specific models that approve every AI action",
        "tagline": "Our small AI models decide agent access in real time, task by task, based on your company’s interests.",
        "body": "Hi everyone 👋 - we're Aman and Sarthak, founders of Decawork.\\\n\\\n**TL;DR:** AI agents shouldn’t have permanent access to company systems. The same action can be appropriate for one task and wrong for another, but companies can’t turn every business judgment into fixed rules or manually approve every step. Decawork trains small, company-specific AI models that approve every agent action in real time, based on company policies and interests, the agent’s task, and its past actions. Access is granted for the task at hand and revoked when it’s done.\\\n\\\nLaunch video: [Watch it here](https://www.youtube.com/watch?v=SanpHIyFcV4)\\\n\\\n🚧 **The Problem &amp; Why now?**\\\nCompanies are putting long-running, more autonomous agents to work on broader tasks and goals. These agents need access to critical company systems, but their actions can be unpredictable and may not serve the company’s interests.\n\nOpenAI’s agents have already hacked Hugging Face during testing with reduced safeguards. Replit’s agent deleted data from a live application’s database.\n\nAn agent’s access should depend on the task it is doing. The same action can be appropriate for one task and wrong for another. Permanent access lets an agent keep using permissions even when they are no longer appropriate for its task.\n\nAs agents take on more work independently, access decisions need to happen in real time. But companies can’t turn every business judgment into a fixed rule or have people manually approve every step.\\\n\\\n✅ **How we solve this?**\\\nDecawork gives AI agents access for the task at hand and revokes it when the task is done.\n\n* Connect your agents. Route API requests and MCP tool calls through Decawork to see activity and manage access in one place.\n* Set company policies. Write policies in plain English, specify when human approval is required, and connect your existing identity and IT service management systems.\n* Deploy a company-specific policy model. We deploy small models that approve actions in real time using your company’s policies and priorities, task context, and past actions. Your agents do the work. Decawork evaluates each proposed action and enforces the access decision before it runs.\n\n🚀 **Team**\\\nSarthak built AI systems at NVIDIA that were deployed at OpenAI and Meta, and worked on enterprise AI agents at Ema.\n\nAman built the AI compliance platform at Barclays used by internal teams globally, then led product at a consumer AI startup serving 100K+ monthly users, hand-wiring credentials for the agents he shipped.\n\nEvery one of those deployments came down to the same questions: what can it access, who approved it, and what did it do? We kept solving agent access by hand - so we quit to build the system we wished we’d had.\n\n![uploaded image](/media/?type=post&id=109883&key=user_uploads/1632535/0ef2784e-ab45-422f-91b9-960473f11dd5)\n\n🙏 **Our Ask**\n\n* If you’re on an IT team or know someone who’s worried about AI agents accessing or misusing company systems, talk to us: <https://decawork.ai/cal> or [founders@decawork.ai](mailto:founders@decawork.ai)",
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        "votes": 152,
        "created_at": "2026-08-12T16:30:00.369Z"
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    "id": 33179,
    "name": "Verdict Machine",
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    "website": "https://verdictmachine.com",
    "all_locations": "Tel Aviv-Yafo, Tel Aviv District, Israel",
    "long_description": "Verdict Machine uses AI to understand each financial institution's complete on-chain environment, assess its cyber risk and generate tailored controls. The same live model powers transaction prevention, continuous cyber diligence, security posture and cost-efficient wallet screening. Before execution, Verdict Machine evaluates proposed transactions against the institution's active policies.\n\nIn our first weeks, we started POCs with asset managers and digital-asset infrastructure providers whose systems move billions of dollars every week for financial institutions. We're now in active evaluations with digital-asset teams at some of the world's largest banks.\n\nThe founding team launched and led blockchain security at Check Point (NASDAQ: CHKP).",
    "one_liner": "AI cybersecurity for financial institutions' digital assets",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
    "launched_at": 1786374737,
    "tags": [
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    "regions": [
      "Israel",
      "Middle East and North Africa"
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    "stage": "Early",
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    "year_founded": 2026,
    "city": "Tel Aviv-Yafo",
    "country": "IL",
    "linkedin_url": "https://www.linkedin.com/company/verdict-machine/",
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      {
        "user_id": 85721,
        "full_name": "Dan Danay",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder and CEO at Verdict Machine (YC S26). Previously Head of Blockchain Security at Check Point (NASDAQ:CHKP), launching their digital assets division. Founded keyTango (MPC-powered crypto clearing house) and Airmada (YC W16, automated drone stations). MIT Sloan MBA. Captain in Israeli Navy, commanded missile ship and naval electronics school.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/dandanay/",
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      {
        "user_id": 3784711,
        "full_name": "Isaac Grossman",
        "title": "Founder",
        "founder_bio": "Co-founder and CTO at Verdict Machine (YC S26). Previously VP Engineering at Fhenix, where he led development of an FHE-enabled L2, and at SCRT Labs, where he helped scale Secret Network to a top-100 crypto asset. Co-founded keyTango, an MPC-powered crypto clearing house.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/itzik-grossman",
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        "full_name": "Liran Kogan",
        "title": "Founder/CPO",
        "founder_bio": "Co-founder and CPO at Verdict Machine (YC S26). Previously launched and led blockchain-security products at Check Point (NASDAQ: CHKP), and led payments and FX products at Payoneer (NASDAQ: PAYO). NYU + INSEAD.",
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      {
        "id": 110493,
        "title": "Verdict Machine: AI cybersecurity for financial institutions’ digital assets",
        "tagline": "AI that understands each institution's complete on-chain environment, assesses its cyber risk, and generates tailored controls to prevent hacks",
        "body": "Hey all! We are Dan, Liran, and Isaac. Before Verdict Machine, we launched blockchain security at Check Point (NASDAQ: CHKP).\n\n**TL;DR:** Blockchain is becoming critical infra for all finance. More than $3.4B in digital assets was stolen in 2025. Verdict Machine is AI cybersecurity for financial institutions' digital assets. We use AI to understand each institution's environment, assess cyber risk and generate tailored controls that prevent hacks.\n\n**Building for:** banks, asset managers, DeFi protocols and infra, companies that use stablecoins or RWAs. If that’s you, email us at [founders@verdictmachine.com](mailto:founders@verdictmachine.com).\n\n<https://youtu.be/dYmEjST7Nc8>\n\n### Signed is not safe\n\nSophisticated hackers don’t need to compromise a wallet to steal funds. They only need to trick an authorized operator into approving one malicious transaction.\n\nOn-chain, settlement is final. There is no chargeback and no reversal. The security decision has to happen before the transaction executes.\n\nAttackers are sophisticated and see the entire institution, while existing security tools see fragments:\n\n* Hidden dependencies. Vendors, protocols, bridges and infrastructure are assessed separately or not at all.\n* Limited context. Controls check a transaction, not the institution behind it.\n* Stale controls. Rules are written once and reviews run once, while the institution and its risk keep changing.\n\n \n\n### How Verdict Machine works\n\nVerdict Machine uses AI to secure each client end to end.\n\n**Inventory.** It builds the complete inventory of a client’s on-chain environment: assets, wallets, smart contracts, users, vendors, counterparties, and transaction patterns.\n\n**Posture.** It quantifies cyber risk and recommends tailored controls to minimize exposure.\n\n**Enforce controls.** Before execution, it evaluates each proposed transaction to prevent attacks in real time.\n\nThe same live model powers every workflow:\n\n**Real time prevention.** Security and compliance teams secure their most critical transactions.\n\n**Continuous cyber diligence.** Asset managers and risk teams underwrite the cyber risk of protocols, vendors, and counterparties before and after capital is deployed.\n\n**Wallet screening.** Payments and stablecoin teams screen for fraud, unauthorized transactions, and risky wallets.\n\n### Why now\n\nInstitutions are racing to launch stablecoin and tokenized-asset products. MiCA and DORA are in force, so the people who own this risk now have to show their work. Attackers punish under-protected organizations.\n\nFireblocks and Chainalysis reached $8B valuations for digital asset custody and compliance. Cybersecurity for on-chain finance is a bigger opportunity. Every financial institution is going to use digital assets and therefore will require digital-asset cybersecurity.\n\n### Traction\n\nWe left Check Point the day before Y Combinator started. We already have POCs with asset managers and digital-asset infrastructure providers moving billions of dollars weekly for financial institutions, and we are in active evaluations with a digital-asset team at one of the world's largest banks.\n\n### Why us\n\nWe previously launched and led blockchain security at Check Point (NASDAQ: CHKP). Our CTO Isaac is a cyber veteran from Matzov, Israel’s cryptography unit. We are crypto natives with many years building infra for crypto and fintech. We built Verdict Machine to bring AI-native, institution-specific security to on-chain finance.\n\nManaging or deploying crypto, stablecoins, or tokenized assets? Talk to us.\n\n[verdictmachine.com](http://verdictmachine.com) · [founders@verdictmachine.com](mailto:founders@verdictmachine.com)",
        "url": "https://www.ycombinator.com/launches/Sk9-verdict-machine-ai-cybersecurity-for-financial-institutions-digital-assets",
        "votes": 24,
        "created_at": "2026-08-17T15:00:01.008Z"
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    "name": "Conifer",
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    "website": "https://www.conifer.build",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "There are thousands of models, providers, and harnesses, each with its own pricing and strengths, leaving an overwhelming number of choices when it comes to managing token spend and intelligence. Conifer uses intelligent routing and orchestration logic to handle the full path of each query: model selection, provider choice, and cache management. It all runs inside your existing harness, so tools like Claude Code and Codex work without changing your setup. By centralizing where inference occurs, Conifer lets companies save on their inference bill while leaving teams free to focus on what they are building.",
    "one_liner": "Least cost routing system to reduce 70%+ token spend",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1783524440,
    "tags": [
      "Developer Tools",
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    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
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    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/conifer",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/conifer.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/coniferbuild/posts/?feedView=all",
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    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
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    "founders": [
      {
        "user_id": 2679506,
        "full_name": "Charles Muehlberger",
        "title": "Founder/CTO",
        "founder_bio": "Founder at Conifer. Engineering researcher at Princeton, accelerating multi-modal inference on edge devices and designing physics simulation software for coupled laser reservoirs and machine learning with physical neural networks. Previously built custom edge AI devices for RF-based brain injury modeling at DoW, and helped engineer the world record holding fastest electric speedboat at PES.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/charlesmuehl/",
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      },
      {
        "user_id": 3664042,
        "full_name": "Michael Jeffords",
        "title": "Founder/CGO",
        "founder_bio": "Co-founder at Conifer (YC S26). Previously co-founded The HeartCheck Foundation, scaling free hypertension screenings to 20+ barbershops and over 10,000 individuals. Engineered an ML-driven computer vision pipeline using pose estimation for early-onset ALS and Parkinson's detection. Former clinical researcher at the Dell Med Institute of Vascular Surgery and UTHSC, specializing in hematopoetic stem cell transplantation, achieving infiltration levels >90% in mouse models. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/michael-bryan-jeffords/",
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      {
        "id": 105897,
        "title": "Conifer: Local-first least cost routing system",
        "tagline": "Stop paying cloud prices for every token. We route 80% of requests to your hardware at no cost",
        "body": "Hi all 👋, We’re Michael and Charles, founders of Conifer.\n\n**TLDR:** Conifer is one interface for both local and cloud models, available today as **Juniper**, our consumer-facing app. It routes each request to the most cost-effective option, beginning with your own hardware. Most requests are processed locally without API fees, reducing paid token volume by up to 80%.\n\n**📺 Launch Video:**[ https://www.youtube.com/watch?v=QLVNISmtet0](https://www.youtube.com/watch?v=QLVNISmtet0)\n\n**❓ The problem**: Model labs direct every request to the cloud, with no incentive to route your queries to a cheaper competitor or a free, on-device model. That may benefit them, but it’s unnecessarily costly for you. Whether it’s a simple typo fix or a complex architecture problem, the request is sent to a data center, exposing your data to third parties and increasing your monthly spend. This quickly adds up for teams running coding agents, customer support, and other high-volume workloads. When handling financials, patient records, or customer data, teams must also trust that a cloud provider’s security is as robust as promised.\n\n![uploaded image](/media/?type=post&id=105897&key=user_uploads/3664042/6dbc9654-b4df-453d-a02e-3ea71302316d)\n\n**🔨 What Conifer does:** Conifer routes every request from the bottom up:\n\nTier 0: Your own hardware, with $0 in API fees\n\nTier 1: An efficient cloud model\n\nTier 2: A frontier model for the most demanding queries\n\nThe majority of requests are processed locally, ensuring that cloud pricing applies only when actually necessary, drastically reducing paid token volume. Additionally, Conifer consolidates disparate subscriptions, dashboards, and API keys within a single unified interface.\n\nFor sensitive workloads 🕵️, **local-only mode** disables cloud routing entirely, so all conversations and data remain completely on-device.\n\n🏃‍♂️ **Ensuring the local tier is fast enough:** This routing only works if the local tier is reliable, so we built Conifer's inference engine from the ground up in Rust. On Apple Silicon, decode speeds reach up to 60% faster than llama.cpp.\n\n![uploaded image](/media/?type=post&id=105897&key=user_uploads/3664042/79b464dc-667b-48af-a1ba-5cdd089b1dc8)\n\nOn-device operation with Conifer is now the default starting point for inference, rather than a feature limited to hobbyist use.\n\n**Asks:**\n\n1. Try Juniper with a one-click download @[ conifer.build](http://conifer.build), or reach out to us at [contact@conifer.build](mailto:contact@conifer.build) to have a model running in under two minutes.\n2. Introduce us to teams with high monthly token spend. If teams are incurring significant API costs and want to optimize unit economics without rebuilding their stack, we would like to connect.",
        "url": "https://www.ycombinator.com/launches/RY1-conifer-local-first-least-cost-routing-system",
        "votes": 10,
        "created_at": "2026-07-15T22:29:01.603Z"
      }
    ]
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]
