Sales teams

Post LinkedIn lead magnet · Sales teams

built a skill .md file that catches AI writing patterns before you publish anything. 29 structural and formatting tells that trained readers spot immediately. not a style guide. a pattern scanner that runs every time i generate content. admit it most you are are still typing don't use em-dashes into GPT. skill files are different. they're persistent instruction docs that load as context automatically. one file, always running, catching patterns before you ever see the output. some patterns from the file. 👻 narrator setup lines. "here's the thing about..." or "here's where it gets interesting." you're guiding the reader to the point instead of making it. delete the line. start with the actual point. three parallel dramatic sentences. "you can't see it. you can't copy-paste it away. you have to know it exists." nobody talks like that. one direct statement lands harder. the bookend summary. opening with a thesis, closing with the exact same thesis rephrased 800 words later. AI wraps content in neat bows. real thinking goes somewhere new by the end. colon-listed everything. "the result: better data. the impact: faster sales. the lesson: architecture matters." reads like a PowerPoint slide, not a sentence. the humble brag disclaimer. "i don't have all the answers, but..." share your take or don't. the disclaimer makes it worse. 29 patterns total. each one with the tell, why it flags, and how to fix it. one flag in isolation is fine. three or more means the content needs a rewrite, not a patch. this is one skill file out of a full tree i'm building. content quality, Clay table architecture, CRM mapping standards, scoring frameworks, outbound copy.... each one is a persistent layer that makes AI output production-ready instead of draft-quality.. built this one for Claude but the logic works in any system prompt, custom GPT, or instruction doc. comment AI Skill and i'll send the full 29-pattern md.file

Mécanisme lead magnet

comment AI Skill and i'll send the full 29-pattern md.file

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Autres lead magnets en sales teams

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Sales teams

Post LinkedIn

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Gojiberry AI just hit $1M ARR. A few months ago we were at €0. This is the second SaaS I've built. The first one I sold at €500K ARR. This time, we moved faster. Here's exactly how we did it, so you can do it too. The core principle that changed everything: We used our own tool to grow our own tool. Gojiberry AI finds high-intent leads and engages with them automatically. We run it on ourselves. It works insanely well. Here's the full breakdown: 1) Outreach (the engine) - LinkedIn: 5 accounts, 30 connection requests + 30 DMs per account per day. Only targeting warm leads showing real intent. Connection acceptance rates and reply rates are insane when you do this right. - Cold email: 6,500 emails per day. 302,000 sent in 90 days. 900+ opportunities created. 41 domains, 123 inboxes, plain text only, no links, no images, 2-3 email sequences max. Total infra cost: ~$600/month. The offer is always the same: a valuable blueprint. No pitch. Just value first. 2) Inbound (the compound effect) - LinkedIn: 6 posts per day across 6 accounts. 6 days/week = lead magnet content. 1 day/week = founder story. Last 7 days: 588,187 impressions. - Reddit: 11.8M+ views in 4 months. The trick: warm up the account, post 3x per week, tell real stories, offer blueprints, and never debate the haters. - YouTube: Long-tail SEO content targeting competitor keywords. It's starting to rank. - SEO: 50K visitors/month and growing fast. 3) Paid (we're just starting) - 3 LinkedIn influencer posts/week (~$500 each). - Facebook retargeting + acquisition Scaling paid ads aggressively right now. 4) Demos 5–8 per day. ~70% close rate to free plan. Mostly sales teams. What actually worked: → Using our own tool on ourselves (this alone is a cheat code) → High-intent outreach > cold outreach. Every single time. → Lead magnet posts on LinkedIn that generate thousands of comments. One post added $5K MRR in under 24 hours. Cost: $0. → Replying to every single comment. → Speed. Every delay kills momentum. We removed friction from every step of the funnel. → AI helping us do 10x more than we ever could alone. What's not working: - Churn is still too high - We need to delegate. We're currently hiring a product owner/designer to help us scale to $10M ARR (feel free to reach out if you know someone 😇 ) The honest truth: The path from €0 to $1M ARR is not glamorous. It's 18-hour days, boring repetitive work, testing things that fail, and doing it all again tomorrow. But if you do the right things every day, good outreach, real value, fast follow-up, it compounds. And one day you wake up and you're at $1M ARR. The goal now: $10M ARR. LFG. 🔥 PS : we're about to launch a 0 -> $1M ARR GTM course. Want to receive it? comment GTM below.

comment GTM below.

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Sales teams

Post LinkedIn

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CLAUDE just automated 100% of my LinkedIn outreach. 0 manual messages. 0 generic DMs. 0 hours wasted. Most people think AI outreach = spam. They’re right. Bad AI doesn’t just hurt results it kills your reputation. The problem isn’t AI. The problem is how people use it. For 6 months, I tested AI outreach systems with B2B founders and sales teams. Tools that promised “personalization at scale.” What they actually delivered: • Template spam • Fake variables • Manual replies when prospects pushed back That’s not automation. That’s busywork. The breakthrough came when we stopped automating messages and started automating conversations. Here’s what changed everything: Claude doesn’t send sequences. Claude runs end-to-end conversations. What it does now… → Researches each prospect individually → Understands company context and LinkedIn behavior → Writes truly personalized first messages → Responds to replies based on conversation history → Handles objections intelligently → Qualifies prospects before booking → Books meetings only when there’s real intent No scripts. No pitch slaps. No human babysitting. This system runs 24/7. It enriches data. Crafts personalized messages. And manages full conversations on autopilot. we booked 120+ qualified meetings last month using this setup. Not because of volume. Because every message felt relevant, timely, and human. The ROI is insane when the setup is right. I documented the entire system in a practical guide: → How Claude is trained to sound human → The conversation framework that gets replies → How chats turn into meetings without pitching → The autopilot system that runs daily outreach I’m sharing the full implementation. Want access? 1. Connect with me 2. Comment “CLAUDE” I’ll send it over.

Want access? 1. Connect with me 2. Comment “CLAUDE” I’ll send it over.

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