[Lead magnets · Fortune 500]

Exemples de lead magnets LinkedIn en fortune 500

Des posts réels « commente un mot, reçois la ressource » en fortune 500, classés par score de viralité. Mis à jour en direct depuis notre base d'analyse LinkedIn.

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14
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[Classement · par viralité]

Les 14 meilleurs lead magnets en fortune 500

2

Fortune 500

Post LinkedIn

Image

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+.

👇 Comment "𝟭𝟬𝟬𝟬" below. Like this post. Connect so I can DM it to you. Repost to help others (and get priority)

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7

Fortune 500

Post LinkedIn

Texte

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)

Comment "AI" + repost

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11

Fortune 500

Post LinkedIn

Image

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

👇 Repo link in comments

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12

Fortune 500

Post LinkedIn

Texte

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)

Comment "OS" below + Repost (I'll DM you the full system once we're connected)

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13

Fortune 500

Post LinkedIn

Texte

Comment “Quill” to get set up for free by AirOps.

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