CRED
Buying intent
461 tracked signals | Top 15 topics are below | Engineering and Sales are carrying most of it.
Attention by team
LinkedIn activity, by teamWhere CRED's own people are actually spending their attention, by team, by topic. Bands run Low to High against the busiest pairing on this page, and each cell also shows how much of that team's own activity it represents.
Topics being researched
30-day windowEvery tracked topic, ranked by volume, not by our guess at what matters. Confidence is the classifier's own certainty that a signal belongs where we've filed it.
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Need intent for a specific topic or industry?
We track the full taxonomy across every account in the graph — including themes not shown on this page.
Who's active at CRED
verified title on fileTitles, seniority and topic straight from each person's own activity, with a LinkedIn link so you can check any of them yourself.
See everyone, not just the first 10
29 people across every department at CRED, plus a LinkedIn profile link for each.
Primary products / business lines
LinkedIn company profileWe\'re a team of creative, driven and persistent people. We want to create a community of the creditworthy. We want to re-imagine the ideal way of life that works on two way trust and respect. Every partnership, collaboration or idea we create works towards providing an experience beyond imagination. Every member is passionate towards this goal. This passion seamlessly drives us forward. If you ha
New capability sought
Employee posts (LinkedIn)Professional Development; Security Information and Event Management (SIEM); Software Development; AI Agent Security; AI Transformation; Follow-Up; Generative AI; Incident Response
Top accounts researching CRED
names withheld on the public pageThese are companies whose own people brought up CRED unprompted, not accounts we guessed might be interested. We can't yet tell an implementation partner from a genuine buyer here, names unlock along with the buyer profile below.
129,094 companies · 649,540 people are researching Artificial Intelligence
CRED's own team shows 54 signals on this topic. No one outside CRED has been seen researching the company by name yet — so this is the market it sits in, not a list of its buyers.
- Software Development20,654 cos · 98,574 people
- Data Engineering8,055 cos · 34,411 people
Buyer profile
company size · seniorityCompany size and how senior the people involved are, the two things that decide whether this is a real deal. Competitor overlap isn't computed yet for this account.
Buying committee functions
Employee job titles (LinkedIn)Engineering — 11 people; Data / Analytics — 3 people; Marketing — 2 people; Security — 2 people; Sales — 1 person
What's been said
public posts by CRED's teamNo public post naming CRED has surfaced in the past year, so this is what CRED's own team is posting about publicly — their topics, in their words.
The OpenClaw token-spend story is extreme, but useful. The reported run was roughly one hundred coding agents and hundreds of billions of tokens in one month. Most teams will not run anything close to that. But the shape is the thing: agents keep working after the human prompt, and the meter keeps running too. Enterprise AI needs operating discipline before the bill becomes the dashboard. Monitor usage. Set policy. Route repeat work to predictable capacity. Source: https://lnkd.in/gCCWnh-3 Link in the comment
May 2026Most people start learning Linux only when they’re forced to 😅 Maybe while: • setting up a server • deploying a project • working on cloud/devops • debugging production issues • using Docker/Kubernetes • or entering Data Engineering / Backend roles And then suddenly… simple commands like 𝗴𝗿𝗲𝗽, 𝗰𝗵𝗺𝗼𝗱, 𝗽𝘀, 𝘀𝘀𝗵, or find become part of daily life. 👨💻 The interesting part is - Linux isn’t just for DevOps engineers anymore. Whether you’re into: ☁️ Cloud Computing 📊 Data Engineering ⚙️ Backend Development 🚀 System Design 🤖 AI/ML Infrastructure …Linux fundamentals quietly become one of the most valuable skills you can have. This cheat sheet is honestly one of the cleanest Linux command breakdowns I’ve seen 👇 It covers: ⚡ File Management ⚡ Networking Commands ⚡ Process Management ⚡ Permissions ⚡ Package Management ⚡ System Control ⚡ Text Processing ⚡ Disk & Memory Monitoring ⚡ SSH / SCP / CURL / WGET ⚡ grep, awk, find, chmod, top, ps & much more When I started learning Linux, I used to memorize commands randomly. But the real improvement came when I understood which commands solve which type of problem. That’s when Linux stopped feeling “hard” and started feeling incredibly powerful 🚀 📌 Save this for future reference 🔁 Share with someone learning Linux or DevOps 💬 Which Linux command do you use the most? Follow Ritik Jain for more curated tech resources, interview prep content, and developer cheat sheets 🚀 #Linux #DevOps #CloudComputing #BackendDevelopment #DataEngineering #SoftwareEngineering #SystemDesign #Programming #Developers #TechLearning #LinuxCommands #Docker #Kubernetes
May 2026Most developers learn frameworks first… but very few actually understand what happens behind the scenes when data travels from one system to another 🌐 That’s where Networking Protocols come in 👇 From opening a website to sending an email or connecting to a remote server - protocols are quietly running everything in the background. Here are some of the most important ones every developer should know: 🔹 HTTP → Powers communication between browsers & web servers 🔹 HTTPS → Secure version of HTTP using SSL/TLS encryption 🔹 TCP → Reliable, connection-oriented communication 🔹 UDP → Faster communication with low overhead 🔹 IP → Routes packets across networks 🔹 FTP → Transfers files between systems 🔹 SMTP → Used for sending emails 🔹 SSH → Secure remote server access The interesting part? Even if you work in: 💻 Backend Development ☁️ Cloud / DevOps 📊 Data Engineering 🤖 Distributed Systems …these concepts show up everywhere. Understanding networking makes debugging easier, system design clearer, and infrastructure concepts much less intimidating. 🚀 I used to ignore networking while learning development because it felt “too theoretical.” Later realized half the production issues indirectly connect back to networking basics 😅 📌 Save this for quick revision 🔁 Share with someone learning system design or backend development 💬 Which protocol confused you the most when starting out? 📌 Image Credit goes to respective owner... #Networking #SystemDesign #BackendDevelopment #DevOps #CloudComputing #SoftwareEngineering #HTTP #TCPIP #SSH #Developers #ComputerScience #TechLearning
May 2026Nobody thought people would prefer AI over humans for this. A human on a professional call is doing two things at once: listening and judging. Why the gap year. Why you left a stable job for a startup that failed. Why you’re building something on the side while working full-time. Every question has a second question hiding underneath it. You can hear it in the pause before they reply. So people learn to edit themselves. They stop talking about the thing that didn’t work. They stop saying the real ambition out loud. They stop mentioning the thing they build at night because it sounds unserious next to a job title. Soca doesn’t flinch. And people tell it everything. The startup that died and what it taught them. The real reason they took the job. The thing they’re quietly building that’s slowly becoming the thing. The asymmetric bets of your life live in the parts you stopped saying out loud. We’re listening for them.
May 2026🚨 𝗙𝗿𝗲𝘀𝗵𝗲𝗿𝘀 𝗛𝗶𝗿𝗶𝗻𝗴 𝗔𝗹𝗲𝗿𝘁 - 𝗠𝗮𝘀𝘁𝗲𝗿𝗰𝗮𝗿𝗱 🚨 Mastercard is hiring for the role of Software Engineer 👇 💻 Role: Software Engineer 🆔 Job ID: R-273995 📍 Location: Gurgaon, India ⏳ Last Date to Apply: 28-05-2026 A great opportunity to start your career with one of the world’s leading fintech companies 🚀 👉 Apply here: https://lnkd.in/gsUjx7_V https://lnkd.in/gBhzXtU6 🔁 Tag someone who should not miss this opportunity #Mastercard #Hiring #SoftwareEngineer #FreshersJobs #TechJobs #GurgaonJobs #CareerOpportunity
May 2026Eight months ago I gave a talk at DEF CON 33 CloudVillage on AI agent security. At the time, the space felt early. Most of us were still piecing together what the threat surface even looked like. Eight months later, the shape is becoming visible. The input layer (prompt injection, jailbreaks, output filtering) is where almost all the funding has gone. Lakera, Lasso, Prompt Security, HiddenLayer, all building variations of the same control. The space is crowded. The runtime layer (tool calls, code execution, credential use, file writes) is where almost no one is building. This is also where the breaches are actually happening. Replit's coding agent deleted a customer's production database last summer. Researchers at Aim Security and Embrace The Red have been quietly publishing exfiltration paths through Copilot and ChatGPT plugins for months. Meanwhile, Microsoft launched AGT on April 2. Anthropic, OpenAI, and Google are all shipping guard models inside the platform. The model providers are absorbing input-side defenses into their own stacks. The question for the next 18 months is not "how do we stop the prompt." It is "what do we let the agent actually do, and what do we log when it does it." I will be writing more about this over the next few weeks. Curious what people on the inside are seeing. #AIAgentSecurity #AgentSecurity #RuntimeSecurity #LLMSecurity #AISecurity #Cybersecurity #AppSec
Apr 2026the v1 for Soca product, design and positioning is undergoing a revamp. this is a tribute to the 100+ gated-in early adopters who helped realise where we fucked up. with over 400+ user sign ups for our v1 in a month organically - including founders, VC's, operators, product, growth, design professionals. the love for the website design was surreal. but the copy was "clever, not clear" and the product was hacky, scrappy and tbh embarassing. but early adopters have been kind, patient and super helpful. we owe our discovery to a fellow founder - we met Tanay Kothari , and one part of his story stuck with us - how he onboarded the first 100 users on a video meet manually. had them test the product real-time and observe where they felt anxious, confused, excited, delighted, angry and a hundred other emotions. and i can't recommend that enough, this guided us on what our ICP resonates with, design that appeals to them, the kind of product that would be just magical and copy that is clear, not clever. Soca v2 is not ready, but we are - to get more feedback, criticism and iterate further, faster on top of it. launching soon.
Apr 2026Who uses MacBooks the most in enterprises? Developers. Engineers. Executives. Creative teams. 👉 The exact people holding SSH keys, cloud credentials, source code, and sensitive IP. And attackers know it. That’s why macOS-focused threats are rapidly evolving - supply chain RATs, infostealers, and targeted campaigns are no longer edge cases. Yet most Blue Teams still struggle to detect, investigate, and respond to macOS incidents effectively. We've been there. When we started defending macOS environments, the biggest challenge wasn't just the threats-it was the lack of visibility, tooling, and structured workflows. After a successful run last year, we’re excited to be returning to Black Hat #USA 2026 🚀 One of the rare, hands-on macOS DFIR trainings built from real-world experience. 🔍 What you’ll learn: ✅ Detect and hunt macOS-specific threats ✅ Perform deep forensic investigations (both malware & insider threats) ✅ Respond using real-world incident response workflows ✅ Bridge Windows/Linux knowledge into macOS security ⚡ Updated for 2026: • Vibe Threat Hunting • AI in DFIR concepts & practical use cases 🚀 Early bird registrations are now open: 📅 Aug 1–2: https://shorturl.at/SOf62 📅 Aug 3–4: https://shorturl.at/wXyGM If you're in SOC, DFIR, or securing modern enterprise environments - this is built for you. 👉 Share with someone who needs better macOS visibility in their org. #macOS #DFIR #IncidentResponse #Training #BHUSA #AI #cybersecurity #training #blackhat #vegas
Apr 2026