Exemples de lead magnets LinkedIn en fortune 500

This AI system generated 50,000 leads in 12 months 0 cold emails. 0 ads. 0 outreach. Most founders are burning cash on outreach that converts at 2%. Meanwhile, this infrastructure booked 234 qualified calls in 180 days — purely inbound. Here's what's inside: ✅ The 7-Layer Inbound Engine (50K leads, 234 calls) ✅ Context Engineering Framework (AI that writes like you) ✅ Auto-DM sequences that nurture and qualify ✅ Ad Creative Infrastructure (automated A/B testing at scale) ✅ AI Business Advisor Setup (compress 5 years of learning into 6 months) ✅ Real Case Studies (client results + numbers) ✅ Full funnel walkthrough + templates This is the same infrastructure Fortune 500 clients pay $50K to deploy. Want the complete AI Inbound Playbook? 1️⃣ Connect with me 2️⃣ Comment "INBOUND" below + Like (I'll DM you the full system once we're connected) ♻️ Repost for priority access

Most founders waste 𝟲 𝗺𝗼𝗻𝘁𝗵𝘀 chasing investors. The smartest do it in 𝟲 𝗱𝗮𝘆𝘀. And the mistake has nothing to do with your product. It’s your investor list. I just compiled 𝟭,𝟬𝟬𝟬+ 𝗰𝗮𝗽𝗶𝘁𝗮𝗹 𝘀𝗼𝘂𝗿𝗰𝗲𝘀 into a single system. So founders can stop chasing warm intros. And start building pipeline like enterprise sales. 𝗛𝗲𝗿𝗲’𝘀 𝘄𝗵𝘆 𝘆𝗼𝘂𝗿 𝗶𝗻𝘃𝗲𝘀𝘁𝗼𝗿 𝗹𝗶𝘀𝘁 𝗶𝘀 𝗸𝗶𝗹𝗹𝗶𝗻𝗴 𝘆𝗼𝘂𝗿 𝗿𝗮𝗶𝘀𝗲: You’re pitching: • Series A funds at napkin stage • SaaS investors with DeepTech • Growth capital before traction Not because these are good fits. Because your list is too small to be selective. 𝗪𝗵𝗲𝗻 𝘆𝗼𝘂 𝗵𝗮𝘃𝗲 𝟮𝟬 𝗶𝗻𝘃𝗲𝘀𝘁𝗼𝗿𝘀, 𝘆𝗼𝘂 𝗰𝗼𝗺𝗽𝗿𝗼𝗺𝗶𝘀𝗲. 𝗪𝗵𝗲𝗻 𝘆𝗼𝘂 𝗵𝗮𝘃𝗲 𝟭,𝟬𝟬𝟬+, 𝘆𝗼𝘂 𝗳𝗶𝗹𝘁𝗲𝗿 𝗳𝗼𝗿 𝗽𝗿𝗲𝗰𝗶𝘀𝗶𝗼𝗻. 𝗪𝗵𝗮𝘁’𝘀 𝗶𝗻𝘀𝗶𝗱𝗲: 1️⃣ 𝟱𝟬+ 𝗡𝗮𝗽𝗸𝗶𝗻 𝗦𝘁𝗮𝗴𝗲 𝗕𝗲𝗹𝗶𝗲𝘃𝗲𝗿𝘀  Boost VC • Pear VC • Hustle Fund • Forum Ventures • Afore Capital (Funds that invest before traction) 2️⃣ 𝟮𝟭 𝗛𝗲𝗮𝘃𝘆 𝗛𝗶𝘁𝘁𝗲𝗿 𝗦𝗲𝗲𝗱 𝗜𝗻𝘃𝗲𝘀𝘁𝗼𝗿𝘀 Partners who backed: DoorDash • Figma • Robinhood • Chime • UiPath 3️⃣ 𝟴 𝗚𝗹𝗼𝗯𝗮𝗹 𝗖𝗮𝗽𝗶𝘁𝗮𝗹 𝗡𝗲𝘁𝘄𝗼𝗿𝗸 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀 (VCs) USA • Europe • Australia • India • Baltics • and more In total: 𝟭,𝟬𝟬𝟬+ 𝗰𝗮𝗽𝗶𝘁𝗮𝗹 𝘀𝗼𝘂𝗿𝗰𝗲𝘀. 𝗪𝗮𝗻𝘁 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 𝗹𝗶𝘀𝘁? 👇 Comment "𝟭𝟬𝟬𝟬" below. Like this post. Connect so I can DM it to you. Repost to help others (and get priority) 𝗧𝗵𝗲 𝘁𝗿𝘂𝘁𝗵: Fundraising is pipeline math. 20 investors = hoping 100+ = leverage 𝗧𝗵𝗶𝘀 𝘀𝘆𝘀𝘁𝗲𝗺 𝗴𝗶𝘃𝗲𝘀 𝘆𝗼𝘂 𝟭,𝟬𝟬𝟬+.

After 11 months and $127K+ in testing, I packaged everything into one system. Here's what's inside:  Content Infrastructure:   → Context-Engineered LinkedIn Agent (exact system behind 43K followers) → Multi-Platform Content Engine (1 idea → 15+ deploy-ready pieces) → AI Visual Creation Systems (enterprise pitch-ready) → Voice Consistency Framework (sounds like you, not generic AI)  Sales Architecture:   → Signal-Based Outbound System (10x capacity vs. cold prospecting) → AI SDR Infrastructure (books meetings autonomously) → Context-Driven Prospecting Agent (enriches + qualifies automatically) → Follow-Up Intelligence System (adapts based on prospect behavior)  Production-Grade Workflows:   → 3,000+ n8n automations → 7,000+ Make workflow templates → Enterprise AI Prompt Library (100+ commands) → Lead Enrichment Engine (capture → qualify → activate) This is the same infrastructure behind: → 6-figure monthly operations → 50K+ leads from systematic content → Fortune 500 consulting inbound → 30M+ organic views Not theory. Not templates someone else built. These are battle-tested systems running in live enterprise environments right now. --- Want the complete operational playbook? 1️⃣ Connect with me 2️⃣ Comment "VAULT" below + Like ♻️ Repost for priority access

Most 9–5 professionals I talk to aren’t scared of AI. They’re just tired. They know the basics. They’ve tried a few tools. They’ve watched the videos. But everything feels rushed, loud, and urgent. “Learn this now or you’re behind.” “Do this or you’ll be replaced.” That pressure is what actually stops progress. In my experience, the people who stick with AI long term do something boring and effective: They learn slowly. Apply it to real work. Build confidence over time. No hype. No coding. No pretending to be an expert overnight. That’s why I put together an AI course for 9–5ers who want to get better at AI... Without turning it into another source of stress. It’s steady. Practical. And intentionally calm. If you’re curious, DM me “AI” and I’ll send you the details.

Most AI news this week was noise. These 7 updates actually matter. (Swipe for the full breakdown →) This is what 6,000+ readers get in my weekly newsletter. Every Sunday. Zero fluff. P.S. Newsletter link in comments. Or DM me "NEWS" and I'll send it.

I just managed my entire business from one WhatsApp chat. Everyone's posting their Openclaw setups. Mac Minis on desks. Terminal windows running agents. Developer-first everything. --- Most founders don't need an EA. They need a system that thinks like one. No app. No dashboard. No prompts. Just text it — exactly like a real EA. → "What's on my schedule tomorrow?" Got my actual calendar back. Two calls. A meeting I'd already forgotten. → "Pull my revenue follow-ups from Granola." Bali event. Miami. Jessie. Real items from real meetings. → "Pull content ideas from Notion." Done. --- Here's what separates this from every other AI agent you've tried: Most agents make you the operator. This one operates for you. It learns your patterns. Anticipates friction. Follows up without being asked. No onboarding. No babysitting. No managing a human who manages your calendar. --- What it replaces: → Opening 6 apps to answer one question → Digging through Granola for post-call follow-ups → Context-switching before you've even started $8K in operational overhead. One text thread. --- If you're a founder or exec who wants to actually empower your work (not just talk to a chatbot): 1️⃣ Connect with me 2️⃣ Comment "NOAH" below (I'll DM the link so you can start running your business better)

I'm running $140K/month selling AI to Fortune 500 companies. All run entirely through Claude Code. (Taking this public for 48 hours before it goes back to internal only.) --- I call it the Business Brain. No Notion. No Monday. No HubSpot. No switching between 15 apps. It's a folder on my laptop that gives Claude Code full context on my entire business. Every client, every deal, every relationship, every sales playbook, every communication template. All loaded into one CLI. I open my terminal, and AI already knows who I'm emailing, what we last discussed, what the client needs, and how I talk. --- Here's what's inside: → The exact folder architecture behind a $140K/month operation (every folder maps to revenue) → The one file that teaches AI your entire business context in seconds → How I connected Gmail, Calendar, Airtable, and project management directly into my terminal → The selective loading system so AI only reads what's relevant to the task (zero hallucination) → Communication templates that write enterprise emails and WhatsApp messages in your exact voice → Client management setup that tracks every deliverable, blocker, and relationship in one place → Sales intelligence framework with ICP scoring, objection handling, and pricing psychology → Runbooks that turn 30-minute multi-step workflows into single commands → The relationship intelligence layer that auto-loads context on every person before you message them --- Same system I've used to close $300K deals and manage Fortune 500 clients for the past 18 months. The positioning shift: You're not using AI as a tool. You're deploying infrastructure that runs your entire business without you. 1️⃣ Connect with me 2️⃣ Comment "AI" + repost (Closing access in 48 hours — moving to client vault after)

ChatGPT 5.4 + Clay + Lusha = AI GTM infrastructure that 16x'd our revenue pipeline. 0 manual research. 0 SDR overhead. 0 bounced emails. --- Most outbound dies at the data layer. Wrong contacts. Stale titles. Bounced emails. Your Clay workflows are only as good as what feeds them. Here's what changed everything: → Lusha Lookalikes identify your next 1,000 customers from closed-won accounts → Job Change signals trigger outreach the moment decision-makers land new roles → Hiring Surge detection surfaces companies scaling before competitors notice → 98% email deliverability. 85% phone accuracy. ISO-certified. Not scraped. → ChatGPT 5.4 converts verified signals into hyper-personalized sequences automatically The result: signal-to-meeting infrastructure that runs 24/7. No SDR team needed. No guesswork on contact accuracy. No Clay credits wasted enriching garbage data. --- Want the complete GTM infrastructure blueprint? 1️⃣ Connect with me 2️⃣ Like + Comment "GTM" below (I'll DM you the full system once we're connected) ♻️ Repost if your outbound deserves better than stale data. #Lushapartner

Most AI news this week was noise. These 7 updates actually matter. (Swipe through for the full breakdown →) Here's what I filter for: Not "AI can do X." But "Here's what changes at your company." Not research papers. But tools you'll use Monday morning. This is what 6,000+ readers get in my weekly newsletter. Every Sunday. Zero fluff. P.S. Newsletter link in comments. Or DM me "NEWS" and I'll send it.

I replaced my $400K/year strategy team with an AI Executive Board. They argue. I decide. $0.30 per verdict. 7 models. 5 countries. 34 seconds. --- Most people use AI like this: → Ask one model → Get one opinion → Ship it because it sounds right One opinion. Zero pressure-testing. So I built an AI Executive Board. --- Before anything important goes live, 7 models review the same decision independently. 𝐍𝐨𝐭 𝐣𝐮𝐬𝐭 𝐜𝐨𝐧𝐭𝐞𝐧𝐭. 𝐎𝐟𝐟𝐞𝐫𝐬, 𝐨𝐮𝐭𝐛𝐨𝐮𝐧𝐝, 𝐩𝐨𝐬𝐢𝐭𝐢𝐨𝐧𝐢𝐧𝐠, 𝐩𝐫𝐨𝐩𝐨𝐬𝐚𝐥𝐬, 𝐩𝐫𝐢𝐜𝐢𝐧𝐠. Then one verdict comes back: → What to cut → Where the logic breaks → The angle 4/7 models caught that I completely missed → What is quietly hurting the sale --- 𝐓𝐡𝐞 𝐁𝐨𝐚𝐫𝐝: Claude · GPT · Gemini · DeepSeek · Qwen · Kimi · MiniMax 7 models. 34 seconds. $0.30 per verdict. --- The screenshot above is the real interface. I packaged the full system. Install it in Claude Code or any AI coding agent. One command. Runs in your terminal. This is one layer of my internal operating system. 1️⃣ Connect with me 2️⃣ Comment "BOARD" + repost (I'll DM you the full AI Executive Board once we're connected)

Everyone is building AI demos. Very few are building AI systems. Look closely at the repo screenshot. The future of AI engineering is hiding in those folder names. That structure shows what production AI actually looks like. Not prompts. Not chat interfaces. 𝗦𝘆𝘀𝘁𝗲𝗺𝘀. 18 months into the Agent Era, one pattern is clear. The difference between a demo and production is not the model. It is 𝘁𝗵𝗲 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲. Your local AI agent works perfectly until reality shows up. Redis fails. Agents hallucinate tools. Production load spikes. Suddenly the challenge is not intelligence. It is 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝗱𝗲𝘀𝗶𝗴𝗻. The industry is shifting from: “Look what AI can do.” to “𝗪𝗵𝗮𝘁 𝗔𝗜 𝗶𝘀 𝗮𝗹𝗹𝗼𝘄𝗲𝗱 𝘁𝗼 𝗱𝗼.” Look again at the screenshot. That repository now has 18,000+ stars because it reflects where serious builders are heading. Not demos. 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲. The stack reveals the shift: 1️⃣ 𝗚𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲 𝗯𝗲𝗳𝗼𝗿𝗲 𝗶𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 Secure tool calling Permission boundaries 2️⃣ 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗯𝗲𝗳𝗼𝗿𝗲 𝗶𝗻𝘁𝗲𝗿𝗳𝗮𝗰𝗲𝘀 FastAPI agents Docker deployments 3️⃣ 𝗥𝗲𝗹𝗶𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗯𝗲𝗳𝗼𝗿𝗲 𝗮𝘂𝘁𝗼𝗻𝗼𝗺𝘆 Evaluation frameworks Observability Failure handling The difference between a toy agent and a production agent is not the model. 𝗜𝘁 𝗶𝘀 𝘁𝗵𝗲 𝘀𝘆𝘀𝘁𝗲𝗺 𝗮𝗿𝗼𝘂𝗻𝗱 𝗶𝘁. Most companies treat AI like a feature. The winners will treat it like critical infrastructure. ♻️ Repost this to help someone build a tool instead of a toy. 👇 Repo link in comments

I replaced my $185K/year executive assistant with this WhatsApp AI Agent. (And 99% of executives don't even know it exists.) Sounds ridiculous until you see what it actually does. → Books meetings across multiple people and timezones → Sends emails in your voice from your account → Preps you before every meeting with full context → Tracks relationships and nudges you when they go cold → Handles rescheduling cascades from one text → Calls restaurants by phone and makes reservations Last week an exec in LA watched me do all of this during our meeting. He has 3 assistants and still spent 20 minutes rescheduling a call manually. I sent one text. Both parties notified. Calendar updated. The system is two layers: Noah is the execution layer. It runs from your existing WhatsApp number. Your contacts don't even know AI is involved. 52-second setup. Zero maintenance. Claude Code is the brain. 500+ files of business context loaded into every session. MCP connections to Gmail, Drive, Calendar, Airtable, Notion, Slack. Every email, proposal, and decision starts at full speed. Same infrastructure I deploy for Fortune 500 clients. I documented the entire operating system: → 40 real use cases (all tested in production) → 8 tool integrations mapped with real commands → Executive routines built through natural language → The full Claude OS architecture Want the complete operating system? 1️⃣ Connect with me 2️⃣ Comment "OS" below + Repost (I'll DM you the full system once we're connected)

You don’t know what AI is saying about your brand. 85% of brand awareness comes from sources you don’t control. Don’t worry. There’s a fix. I started noticing this after seeing how differently AI search works. It’s not your homepage that AI pulls from first (not anymore). It's pulling from thousands of sources, synthesizing them and deciding what to tell people about your brand. You do not even know it’s happening. Typically, people are either panicking or ignoring it. But neither helps. What actually works is understanding where you show up across ChatGPT, Perplexity and Gemini, and then systematically improving how you're described. Yes, that's not traditional SEO. It's smth closer to content engineering. AirOps created Quill for this exact problem. It’s an AI agent that watches your citation rates, catches when competitors shift positioning, spots underperforming content, and drafts improvements so LLMs still describe you accurately. What if, for example, your pricing changes? It updates *every mention* automatically. The brands figuring this out first will have a massive advantage. Everyone else will spend at least 2 years wondering where their visibility went. If you're curious about how this works, worth exploring: https://lnkd.in/g6j3EGPm Comment “Quill” to get set up for free by AirOps. How are you thinking about this? Are you monitoring where your brand shows up in AI? #AirOpsPartner

I blamed my manager for not getting a promotion. It was actually my fault. Here's the gap I missed: I met every deadline and hit my goals. But promotions aren't only assessing capability. There are two scorecards. Most people only ever work on the first. ↳ Scorecard #1: How well you do your job ↳ Scorecard #2: How already-promoted you are Leadership isn’t asking “Is she performing?” They’re asking: – Is she shaping decisions, not just executing them? – Is she operating at the next level? – Would promoting her be low-risk? This is where high performers feel blindsided. They’re optimizing for excellence. Leadership is optimizing for certainty. That’s why promotions feel confusing and personal. You can be exceptional and still invisible at the next level. To help you be the obvious choice, I'm teaching a free workshop: The System High-performing Moms Use to Get Promoted While Present With Kids. You'll learn the: ↳ 3-step Visibility Flywheel to gain recognition ↳ 1-minute reset to break out of the Presence Failure Loop ↳ The exact shift to stand out without working more It's a practical system, proven by 5k+ Fortune 500 women, that you can immediately apply. 📅 February 4th or 5th (virtual) 👇 Comment ‘yes’ to get a free invite to the workshop. --- ♻️ Repost to help your network ➕ Follow Shivani Berry for more