# Exemples de lead magnets LinkedIn — Claude > 12 posts LinkedIn réels « commente un mot, reçois la ressource » en claude, classés par score de viralité. Données live depuis l'analyse LinkedIn de LinkPost. Chaque post est un exemple de *lead magnet* : son auteur propose une ressource (guide, template, checklist…) en échange d'un mot-clé en commentaire, puis l'envoie en DM. ## 1. Claude **227 likes · 447 commentaires · viralité ×1.8** **Mécanisme :** But if you comment “intent” I will send you the detailed map we use. ``` We have closed over $900K+ using this one system. We are using Claude X GojiberryAI for this system! We built a high intent ICP verification inside claude First we use gojiberry’s agent to find: High intent data for us in volume like: - people engaging with our content + our competitors - Job hirings And more 20+ such warm intent signals Then we use claude to make it more higher in intent: 1. What they will like for their age 2. Finding micro decision makers of an organisation 3. How many years they are in the decision making role 4. Are they following 2021 tool stacks? Or new 6. When did the company hire last 7. What are events that happened there recently 8. Any repeated content on their socials 9. New launches on G2/Product hunt that is relevant for us Gojiberry agent gives us high intent warm signals ⬇️ Claude filters and makes it even higher intent. ⬇️ Then again we use gojiberry to reach them out on LinkedIn (all automated) but it looks super human This is something followed by 5% of companies right now… I can only fit so much here!! But if you comment “intent” I will send you the detailed map we use. ``` ## 2. Claude **752 likes · 89 commentaires · viralité ×1.5** **Mécanisme :** Follow Chorouk Malmoum and Comment "AI" 👇 ``` 🚨 BREAKING : Anthropic just dropped Agent Teams Now you can run multiple Claude agents in parallel with ZERO setup ! 2 weeks ago, developers found this fully built in Claude Code's binary Hidden. Feature-flagged off. Ready to ship. 2 days ago, Anthropic made it official ! 📌 Here's what just became possible : Multiple Claude instances now work together on your codebase → Lead agent coordinates → Teammates work independently → Each has its own context window → They message each other directly One researches while another debugs while a third builds All at once. Zero human orchestration The killer feature ? "Competing Hypotheses Debugging" App crashes. You don't know why Spawn 5 agents. Each investigates a different theory. They try to disprove each other → The one that survives is your answer ! 📌 How to enable it : CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1 One line in settings.json Done 📌 What you need to know : → Each agent bills separately (start with 2-3, scale smart) → Assign different files to different agents (avoid conflicts) → Stay in the loop (autonomous ≠ unsupervised) Best for : • Complex debugging when root cause is unclear • Parallel solution exploration • Multi-angle refactoring Skip for : • Single-file edits • Simple implementations Want a full guide for FREE ? Follow Chorouk Malmoum and Comment "AI" 👇 ``` ## 3. Claude **112 likes · 81 commentaires · viralité ×1.3** **Mécanisme :** Comment QUEEN and make sure you and I are connected, and I'll send it to ya! ``` OpenAI is paying people to share examples of real work from former employers. What should that tell you about where 2026 is headed? Most people are trying to become better AI power users. Better prompts. Better tools. All the flashy demos… I get it ... but that’s not where the real leverage is. If you look closely at what every AI model company is doing right now, they’re pushing into real work as fast as they can. And it’s working. Just yesterday, I tested Claude’s new browser extension on a task where it had to fill out a 10-page form with our details. It got ~80% right. That’s not a failure. That’s a SIGNAL (!!) As models get better, the bottleneck isn’t intelligence. It’s the work you’re assigning… and the structure you give it. Anyone who wants to stay relevant needs to learn how to provide that structure. To stop thinking like a user… and start thinking like an Operator. P.S. In our newsletter today - we shared our QUEEN Framework — it’s 5 ways to switch up how you work with AI 👸 Comment QUEEN and make sure you and I are connected, and I'll send it to ya! ``` ## 4. Claude **304 likes · 43 commentaires · viralité ×0.6** **Mécanisme :** Follow Chorouk Malmoum and Comment "AI" 👇 ``` 🚨 BREAKING : Anthropic just dropped Agent Teams Now you can run multiple Claude agents in parallel with ZERO setup ! 2 weeks ago, developers found this fully built in Claude Code's binary Hidden. Feature-flagged off. Ready to ship. 2 days ago, Anthropic made it official ! 📌 Here's what just became possible : Multiple Claude instances now work together on your codebase → Lead agent coordinates → Teammates work independently → Each has its own context window → They message each other directly One researches while another debugs while a third builds All at once. Zero human orchestration The killer feature ? "Competing Hypotheses Debugging" App crashes. You don't know why Spawn 5 agents. Each investigates a different theory. They try to disprove each other → The one that survives is your answer ! 📌 How to enable it : CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1 One line in settings.json Done 📌 What you need to know : → Each agent bills separately (start with 2-3, scale smart) → Assign different files to different agents (avoid conflicts) → Stay in the loop (autonomous ≠ unsupervised) Best for : • Complex debugging when root cause is unclear • Parallel solution exploration • Multi-angle refactoring Skip for : • Single-file edits • Simple implementations Want a full guide for FREE ? Follow Chorouk Malmoum and Comment "AI" 👇 ``` ## 5. Claude **143 likes · 549 commentaires · viralité ×0.6** **Mécanisme :** Comment "CLAUDE" ``` CLAUDE handled my LinkedIn outreach last week. It booked 52 meetings on full AUTOPILOT. Most founders waste 10+ hours weekly on LinkedIn prospecting. Cold outreach that gets ignored.  Generic messages.  Endless follow-ups that go nowhere. That's because you ONLY have 2 options: 1. Do it manually and waste 2 hours/day  2. Automate it and get 0 reply Meanwhile, your competitors are closing deals using this CLAUDE + KAKIYO: This exact AI system that runs my entire LinkedIn outbound on autopilot: → Deep research on every single prospect → Personalized first messages  → Smart follow-ups that adapt to each conversation → Handles objections and qualifying questions The BEST part? It books the meetings directly into your calendar. This AI doesn't just blast messages. It actually reads prospect profiles, understands their business and pains, and has real conversations. - No more copy-paste.  - No more spam.  - No more pointless conversations.  - No more unqualified calls. ONLY a +40% reply rate and 2-5 meetings booked every single day. Want to implement this system in your business? 1. Connect with me  2. Comment "CLAUDE" P.S: repost for priority access ``` --- *Source canonique : https://linkmagnet.gg/lead-magnets/claude* *LinkMagnet — livre tes lead magnets LinkedIn automatiquement : https://linkmagnet.gg*