Exemples de lead magnets LinkedIn en b2b saas

La pire erreur qu’un client puisse faire ? Penser qu’il est designer. Demander des modifications, ce n’est pas un problème. Les imposer sans vision, si. Aller chez un designer et lui dire quoi changer, c’est comme aller chez un médecin et lui expliquer quel traitement prescrire. Le rôle du designer : – penser cohérence – esthétique – impact business Le rôle du client : – exprimer ses objectifs – sa cible – ses contraintes Un logo ou une identité visuelle, ce n’est pas un gribouillage. C’est une décision stratégique. Et plus on force des changements “au feeling”, plus le résultat final perd en clarté… et en conversion. J'offre un audit vidéo GRATUIT de ton identité visuelle de ton SaaS commente "analyse" pour la recevoir ;)

Claude Cowork just KILLED manual outreach. And I'm never going back. I used to spend hours crafting personalized LinkedIn messages. Now? My AI stack does it better than I ever could. No copy‑paste templates. No "hey {{first_name}}" spam. No writer's fatigue at message #47. After testing every major model this year, here's what works now: Claude Cowork = LinkedIn outreach that actually gets replies. What these models can now do: → Research prospects and write relevant openers → Hold natural multi‑step conversations → Handle objections and qualify leads → Stay on‑brand across hundreds of messages 500+ conversations this week. Reply rates matched our best manual campaigns. The difference? I saved 12+ hours. I just packaged our entire system into a doc: - How to train Claude on your ICP and offer - Prompts that generate outreach people actually respond to - The workflow that keeps you inside LinkedIn's limits - When humans need to step in for quality control How to book 2–5 qualified calls per day This is the same process booking meetings for B2B companies right now. Want the full system? 1. Connect with me 2. Comment "CLAUDE" P.S. Repost for priority access

J’ai construit ce template avec +20 experts SEA. Il vaut 800€, mais il est gratuit pendant 24h. Un dashboard conçu pour vous faire gagner du temps dans l’analyse et aussi pour faciliter le reporting auprès de vos clients. En SEA, sans dataviz, on perd énormément de temps et on peut louper des moves rentables. Ici, tous les kpis sont centralisés. 🎁 Bonus : il y a différentes analyses pour optimiser la perf → keywords et campagnes. Avec ce template, vous pourrez : → Auditer n’importe quel compte Google Ads, → Fournir une overview et un deep-dive à vos clients quand vous le souhaitez, → Prendre des décisions 2x plus rapidement sur les comptes que vous gérez, → Identifier des opportunités de mots-clés, → Comprendre les moves des concurrents, → Améliorer le ROI de vos campagnes Google Ads. Et effectuer aussi toutes les analyses routinières de perf. Pour l’obtenir : 1/ Liker ce post 2/ Commentez "Dashboard" 3/ Cliquez sur “Se connecter” pour que je puisse vous l’envoyer ! Edit : Les 24h sont écoulées depuis le 28/02 ! -- Ps : J’écris sur la data pour les pros du marketing ou les SAAS B2B et mon objectif est de vous aider à mieux la visualiser pour accélérer votre croissance et prendre des bonnes décisions.

I just built an entire Claude AI C-Suite. And I’m giving it away for free. Most people use Claude like a tool. But the real leverage is building an AI leadership team. So I created a Claude system where you get: • AI CEO • AI CMO • AI CFO • AI COO • AI CRO • AI CTO • Head of Product • Head of Growth • Customer Success • CHRO Each agent has one job - strategy, marketing, growth, revenue, operations, hiring. Instead of writing random prompts… You’re basically running an AI boardroom. (SaaS founders will know why this matters - most pipelines aren’t broken because of effort… they’re broken because the infrastructure behind them is.) If you want access: 1️⃣ LIKE the post 2️⃣ COMMENT “C_SUITE” 3️⃣ Make sure we’re connected I’ll send the full Claude C-Suite system. P.S. ♻️ Repost for priority access - inbox gets busy fast.

I just built an entire Claude Growth Team… And I’m giving it away for free. Most people use Claude like a tool. But the real leverage is turning it into your Head of Growth + execution team. So I built a system with: • 20 Claude Growth Agents • 10 Head of Growth Prompts This isn’t surface-level stuff. It’s a full growth engine covering: • Lead generation • Content & organic growth • Conversion & sales • Retention & monetisation • Strategy & decision-making Each agent has one job - and does it better than most teams. Instead of writing random prompts… You get a Claude-powered growth system you can plug straight into your business. If you want access: 1️⃣ LIKE this post 2️⃣ COMMENT "GROWTH" 3️⃣ Make sure we’re connected I’ll send it over. P.S. ♻️ Repost for priority access inbox gets busy fast.

I grew from 0 to 10,000 followers in less than 10 months. Without ever buying a LinkedIn course. Or watching a single YouTube video on "how to grow on LinkedIn." Here's what I did instead. Every time I saw a viral post from LinkedIn top creators, I studied it. I analyzed it. Broke it down. Used AI to understand exactly why it worked. Then I took all that data and trained AI systems on it. So I ended up building 4 AI systems that helped me grow on LinkedIn. And today, I'm giving them all away for free. Here's what each AI does: AI #1 Viral Content Idea Generator Finds viral content ideas for your industry AI #2: AI #2: LinkedIn Post Scripter Turns ideas into scroll-stopping LinkedIn posts AI #3: AI #3: Viral Hook Generator Generates 10+ viral hooks per post AI #4: AI #4 (Bonus): CTA Generator Creates CTAs to maximize engagement & book calls These are the exact AI systems I used to go from 0 to 10K followers and booked 600+ calls. Now I'm giving them all to you. For free. To get them? 👍 Like this post 💬 Comment "SYSTEM" and I'll send you all 4 AIs. ♻️ Repost this and I'll also send you my AI that helps you book calls on autopilot on LinkedIn. Must be connected. P.S. - You don't need a course. You need systems. These are the systems.

“You should give this to every person that starts a company.” That’s what one YC founder said after reading our Offers Framework. It breaks down how to structure an offer that gets real traction - not just in cold outbound, but across your entire GTM motion. We’ve literally condensed 2 years of experience cracking outbound for 70 B2B SaaS clients including startups at Y-Combinator, FirstRound, Soma Capital, NFX, TechStars and more… Taken from our experience sending 2.5M+ cold emails each month. Into what I call our Ultimate Guide to creating offers that convert cold prospects into paying customers. It’s the foundation behind every campaign we run and the reason 50+ clients have left glowing testimonials. If your offer isn’t clear, nothing else works. 1 - Your cold emails won’t land 2 - Your demo calls won’t convert 3 - Your pipeline will stall No intent data or triggers will save you. No complex Clay workflows will save you either. Offer first, everything else second. I'm sharing an internal doc given only to Cymate clients (Wesley Hoang 🛠️ & Thomas Nobbs won't be too happy haha) But it’s the framework that founders and sales folks keep asking us for. So we’re finally making it public. Just leave a reaction, comment anything, and I'll send it over 👇

LinkedIn generated me $6,500 today. 100% from inbound leads. This was only possible solely thanks to my content. It's my #1 lead generation channel, the same way it is for my clients. I've seen it work for: - B2B SaaS companies selling low-ticket - Agencies selling mid-ticket monthly retainers - Coaches & Consultants selling high-ticket upfront deals It's honestly crazy how well it works right now, and I don't know if it will be like this forever... So I decided to make a guide on EVERYTHING you need to be able to make LinkedIn your new #1 lead generation channel. I'm not gatekeeping anything at all. It's the most in-depth & valuable resource I've ever made. Comment "ONE" and I'll send it to you. Just make sure we're connected so I can DM you.

We’re 20 days away from crossing $1M ARR with GojiberryAI. It took us exactly 9 months from zero. To celebrate, I’m releasing a multi-hour GTM course breaking down exactly how we did it. Not a paid course.  100% free. And I’m not even going to ask for your email. I’ll show you: – The exact channels we used – What actually worked – How you can replicate it for your SaaS No product talk. No dev talk. Just pure marketing. Brutal. Practical. Fast. This won’t be the usual recycled advice. These are real methods to get traffic FAST, and for free. If you want access when it drops Comment “GO” and I’ll add you to the waitlist. RT and I'll send it to you 1 week before everyone

J'ai analysé +3 000 sections pour comprendre comment fonctionnent les meilleures landing pages. Et j'ai tout mis dans un outil. Tu colles une URL. En 2 minutes, tu sais exactement ce qui plombe ta conversion. Structure confuse, manque de différenciation, preuve sociale trop faible… L'outil détecte tout ça automatiquement. Tu récupères :  → Un score de conversion sur +60 critères  → Tes faiblesses par catégorie  → Des recommandations priorisées  → Des screenshots annotés avec chaque problème numéroté sur ta page → Des inspirations tirées de ma base de +3 000 sections C'est le plus gros projet sur lequel j'ai bossé, j'y ai compilé mes 5 ans de CRO. Et c'est gratuit pour le lancement. 1. Commente "LP" 2. Like ce post Je t'envoie le lien en DM.

I built a Claude-powered AI consultancy, And I’m giving the entire system away - FOR FREE Most people use Claude AI like a tool. But the real leverage is turning it into an AI consulting firm. So I built a system where you can run your own Claude AI consultancy. Inside the system you get: - A Claude AI Master Consultant Agent - 10 Claude consultant prompts for different areas of business - A Claude CEO Command Center prompt - A full consultancy setup guide using Make.com + Relevance AI Instead of writing random prompts… You’re basically running an AI consulting firm. (SaaS founders will know why this matters - most pipelines aren’t broken because of effort… they’re broken because the infrastructure behind them is.) If you want access: 1️⃣ Like the post 2️⃣ Comment CONSULTANCY 3️⃣ Make sure we’re connected I’ll send the full Claude AI Consultancy system. P.S. ♻️ Repost for priority access - inbox fills up fast.

R.I.P. traditional outbound. I replaced my entire prospecting workflow with Claude Skills + OpenClaw. It finds high-intent prospects and starts conversations automatically. Most founders are doing outbound the old way. They scrape a list. Send 1,000 cold messages. Hope someone replies. It's inefficient. Because most prospects aren't ready to buy. The average reply rate on cold outreach is below 2%. The problem is timing. Reach someone when a real trigger happens, new role, hiring spike, funding round, product launch... And your chances of getting a reply increase dramatically. But monitoring those signals manually is impossible. So I built an autonomous outbound system using Claude Skills + OpenClaw. It runs the entire pipeline: Signal detected → Prospect researched → ICP match verified → Personalized outreach generated → Conversation started No blasting sequences. Contextual conversations only. 24/7. Results so far: Reply time: <2 minutes Follow-up rate: 100% When a relevant signal is detected, the system: Researches the company Analyzes the prospect Writes personalized outreach based on the trigger Starts a conversation Notifies me only when a meeting is ready No lead lists. No sequences. No manual prospecting. Just intent-driven outreach at the right moment. I documented the entire system in: The Signal Playbook Inside I break down: The Intent Signal Monitor The Prospect Research Agent The Contextual Outreach Builder The AI Conversation Handler The Demo Qualification Agent If you want the full playbook: 1/ Like this post. 2/ Comment AGENT below. I'll send it over. ♻️ Repost for priority access — inbox might get messy.

STOP scrolling. Claude Opus 4.6 just came out. And it officially KILLED Clawdbot. For the last 6 months, LinkedIn has been flooded with custom AI bots promising “fully automated outreach.” There's a dirty secret no one talks about... To make them work, you need: - Node.js - Terminal access - Custom scripts - And an hour of debugging every time something breaks That’s not leverage. That’s playing engineer. Serious operators don’t play engineer. They play for meetings booked. So we tested Claude Opus 4.6 natively for LinkedIn outreach. No wrappers. No brittle automations. No custom infrastructure. And it didn’t just match the old setups. It replaced them. What changed with Opus 4.6: Setup time: minutes, not hours • Context depth: full prospect + conversation history • Native reasoning: handles conversations, not just messages • No code. No glue tools. No maintenance You don’t need to build a bot anymore. You need a system that understands: - who to message - why now - and when to stop That’s where Opus 4.6 shines. It researches prospects, writes relevant openers, handles replies intelligently, qualifies interest, and only surfaces conversations worth your time. Not volume. Not spam. Actual conversations. We ran this across active LinkedIn outbound. Reply quality matched (and often beat) our best manual campaigns with zero fatigue and zero copy-paste. So I documented the entire operator workflow. The Operator’s Guide to Claude Opus 4.6 for LinkedIn Outreach A non-technical blueprint for running outbound without writing code. Inside, I break down real, copy-paste workflows: • How to train Opus on your ICP and offer • How it decides who is worth messaging • How conversations stay natural (not robotic) • How to stay inside LinkedIn limits safely • When humans should step in and when they shouldn’t Stop tinkering with scripts and start booking conversations. Want the guide? 1. Like this post. 2. Comment “OPUS” below. I’ll send it over.

BREAKING: GOODBYE cold outreach forever. Reddit can now drive more qualified pipeline than a $10,000/month SDR team in weeks, not quarters. We compiled 7 Reddit growth strategies that are booking calls for B2B SaaS founders on autopilot. I reverse-engineered how top SaaS companies use Reddit to dominate buyer conversations before their competitors even show up. These are the exact plays: → Find threads where your ICP is actively complaining about competitors → Surface high-intent problem posts before they go cold → Position your product inside conversations already happening → Turn Reddit threads into compounding traffic and inbound leads → Identify the exact subreddits where your buyers live → Build a presence that drives trust before the first sales call → Convert Reddit readers into booked demos without a single cold message I'm talking about pipeline that SDR teams charge $10K+/month to deliver. Now you can dominate Reddit and book calls on autopilot. Want the 7-play Reddit Growth Playbook for B2B SaaS? 1️⃣ Comment "Reddit" below 2️⃣ Connect with me (so I can DM you back) And i'll send in your dms P.S. Repost for priority access

HockeyStack built a $74M outbound pipeline in 8 months. Here's exactly how they went from 0 to 6.7x the average SDR's pipeline production. Why they went outbound: They were crushing it with inbound until $5-6M ARR. Then growth slowed, algorithms changed, ads saturated. Inbound alone became unstable. Switching to outbound let them proactively target ideal customers instead of waiting for leads. Inbound starts growth, but outbound sustains and scales it. Early days: - Hired SDR leader first (Alex Choi from Carta), not reps - First 3 months: Built foundation before any hiring - Made bold ICP decision: Cut SMB completely despite 30-day sales cycles - New ICP: B2B SaaS, Series B+, $50K+ ACV, specific marketing roles - Built everything manually first (scripts, sequences, trigger matrix) - Then automated prospecting to zero manual work The automation was key: - Scoring model evaluates all accounts - Only top 2% enter outbound queue - Zero manual account selection allowed Result: SDRs focus 100% on revenue generation, not data entry. Today: Their SDRs create $2.1M in pipeline per month. Each. - 70% of meetings from cold calls (not email) - SDRs spend 60% of time calling - Meeting increase: 5 → 15 meetings/week per SDR (3x improvement) Their secret weapons: Cold call opener that works: "Hey [Name], this is a cold call from HockeyStack. Do you have a second? We're hearing a lot of marketers have problems tying brand awareness to revenue, is that a problem for you?" Tech stack that eliminates friction: - HockeyStack + Clay for automation - Multiple data sources (Zoominfo, Lusha, Leadmagic) - Nooks dialer + Outreach.io - MongoDB for data storage Non-negotiable rules: - No manual research, ever - Live demo views = contact within 2 minutes - Every cold call recorded and reviewed weekly - If a tool slows SDRs by 2+ minutes, it's replaced The lesson: Building predictable outbound isn't about hiring more reps. It's about building better systems. -- I spent 10+ hours breaking down their full outbound playbook. Want it? - Like this post - Comment “playbook” - If we’re not connected yet, hit the connect button so I can DM you Need it faster? DM me “playbook” and you'll get playbook today. P.S. I'll send it even if it takes me hours. I can't stand when people promise content and don't deliver.

+20% de trafic en 4 mois. Grâce à un simple dashboard SEO. Je te le partage gratuitement 🎁 Comment identifier les bons mots-clés pour booster son SEO ? Les outils classiques aident, mais une approche data-driven fait la différence. En connectant Google Search Console et Looker Studio, on a transformé la stratégie SEO de mon client en un véritable levier de croissance. Avant : - Beaucoup d’impressions mais peu de clics, - Des mots-clés bien positionnés mais sous-exploités, - Aucune visibilité sur le potentiel réel des opportunités SEO. Après : - Un dashboard pour identifier les mots-clés à fort potentiel, - Une roadmap SEO claire pour maximiser le CTR, - Un trafic boosté en quelques mois seulement. Ce qu’on a mis en place : 𝟭/ Identifier les bons mots-clés On a extrait les mots-clés avec un fort volume d’impression mais positionnés en 2e ou 3e place. 𝟮/ Analyser leur potentiel En croisant CTR moyen et position, on a simulé le gain de trafic potentiel. 𝟯/ Prioriser les actions Les mots-clés avec un fort volume et un CTR optimisable ont été retravaillés pour gagner des positions. Résultats : ✅ +15% des impressions positionnées dans le Top 3 ✅ +20% de trafic en 4 mois ✅ Impact direct sur le business : +40% de son acquisition vient du SEO Pour obtenir ce dash : 1/ Liker ce post 2/ Commenter "Dashboard" 3/ Cliquez sur “Se connecter” pour que je puisse vous l’envoyer ! -- Ps : J’écris sur la data pour les pros du marketing ou les SAAS B2B et mon objectif est de vous aider à mieux visualiser pour accélérer votre croissance et prendre des bonnes décisions.

B2B SaaS teams scaling outbound: still building landing pages one at a time? I've built conversion-focused websites for scale-ups backed by €180M+ in funding. The difference between 2% conversion and 20%? Personalization at scale. Here's what I see with marketing teams stuck creating 3-5 ABM pages a month: → Two days of work for a single landing page → Begging for dev resources or doing it yourself → Generic pages because personalization "doesn't scale" → Competitors winning deals with pages that feel custom → Sales asking why marketing's leads don't convert So I documented the exact system that fixes this. Webflow + Clay. No developers needed. Build it once. Generate 1,000 pages in the same time it takes to build one. Inside the kit: → Full video walkthrough (<8 min, covers the entire system) → Webflow cloneable template (CMS structure ready to clone) → Clay table template (enrichment logic pre-built) → How to connect them so data flows automatically This system will help you: ✅ Go from 5 personalized pages to 500+ per quarter ✅ Cut landing page build time by 90% ✅ Lift ABM conversion rates from 3% to 18% If you're a B2B SaaS marketing team doing outbound with less than 50 personalized pages, this is for you. *1* Want the complete system? *2* Connect with me *3* Comment "SCALE" I'll send it directly to your DMs. ♻️ Repost if you know a marketing team drowning in manual page work PS - Your ABM results have a ceiling until you fix the scale problem. This fixes it.

NEVER pay an outreach agency again. This free Claude Code system replaces a $5K/month LinkedIn outreach retainer. Most teams struggle with LinkedIn outbound: - Manually prospecting for hours - Sending generic DMs that get ignored - Guessing who’s actually ready to buy - Burning time on people who’ll never reply I rebuilt our entire LinkedIn outreach process using Claude Code. And it changed everything. Not as a CRM. Not as a basic automation tool. But as an intent-driven outreach system that identifies buyers before you  ever message them. The capabilities are insane: → Detects buying intent directly on LinkedIn → Finds prospects already engaging with relevant content → Builds daily, high-intent lead lists automatically → Launches personalized outreach without manual research → Turns inbound engagement into outbound wins I used this to train myself and my team to book meetings consistently without agencies or SDR churn. The best part? You don’t start with templates. You start with real intent signals: - Post engagement - Profile views - Keyword interactions - Competitor activity So every message feels timely not spammy. I’ve documented the entire Claude Code outreach system and made it free: → How to design intent-based ICPs (not generic personas) → The exact signals Claude looks for to identify ready-to-buy prospects → How to turn LinkedIn engagement into outbound-ready lead lists → Outreach flows that start conversations (not pitch slaps) → The weekly system we use to book meetings consistently Want the system? 1. Connect with me 2. Comment “OUTREACH” below I’ll send it straight to your DMs. P.S. We must be connected so I can DM you ♻️ P.P.S. Repost this and I’ll also share the exact outreach sequences we run with Claude.

I’m giving you my entire CLAUDE AI SEO team for free. Not a tool. Not a prompt. A full system. I built an AI-powered SEO team using Claude that covers: • Keyword research & intent • Content strategy & planning • Content creation & optimization • On-page SEO & CTR • Technical SEO & site health • Competitor & SERP intelligence • Backlinks & authority building • Content performance & tracking • Local & global SEO expansion Basically everything you’d need to scale SEO properly. This is how I think about SEO now: Not as tasks. But as a system. If you want access to all the agents + templates: 1. Like this post 👍 2. Comment “SEO” Repost for priority access (Must be connected)

Cold outreach is officially DEAD. AI just booked me 32 meetings last week. Most teams still do LinkedIn prospecting like it’s 2018: Manual prospecting = → Scroll Sales Nav → Guess who might be interested → Send “quick question” DMs → Follow up manually → Book 1 meeting if you’re lucky Automation didn’t fix this. It just scaled the wrong thing: - Generic sequences - Zero relevance - Low intent leads Here’s what actually works now: Finding buyers before they raise their hand. Instead of messaging everyone, this system finds people already showing intent, then starts relevant outreach. What happens on autopilot: → Detects 10+ buying intent signals (competitor engagement, funding, new roles, influencer activity, events, groups, etc.) → Filters leads to ONLY match your ICP (role, company size, industry) → Scores prospects based on intent + fit → Sends smart, personalized LinkedIn messages automatically → Books more demos from warm leads → Pushes high-intent leads to Slack, inbox, or CRM So instead of “spray and pray”… You start each day with new warm leads already identified and outreach that actually converts. The most underrated part? You see exactly what works. You can track: - which intent signals drive replies - which campaigns book meetings - which segments convert best This turns LinkedIn from a guessing game into a predictable system. If you want the exact setup to go from intent → outreach → booked demos in under 10 minutes: 1. Connect with me 2. Comment “AGENT” P.S. Comment fast to receive the resource early!

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.

Clawdbot is an open-source AI employee Here’s what it does ↓ Runs nonstop on a Mac Mini or in a spare laptop You text it. It runs your LinkedIn outreach. What mine handles for LinkedIn: → Daily prospect research Finds ICP-fit profiles by role, industry, and intent → Personalized openers Writes relevant first lines from real profile context → Safe connection requests Human-like pacing enforced via our Ai (no bans) → Follow-up sequences Multi-step messages that adapt to replies → Reply handling & qualification Understands intent and flags sales-ready leads → Objection handling “Not now”, “send info”, “later” handled naturally → Conversation summaries Logs key context so nothing gets lost → CRM-ready handoff Qualified leads delivered cleanly to your pipeline Before: I researched prospects, wrote DMs, followed up manually Now: I text my AI what I need. It runs outreach in the background. Prospect research: 1 hour → automated Follow-ups: daily manual work → fully handled Outreach: stressful → boring (in a good way) 30-minute setup and runs in the background ever since. Comment “BOT” and I’ll send you the setup guide.

Introducing GojiberryAI, the world’s first AI Go To Market Brain GojiberryAI automatically turns buying signals into personalized outreach and booked demos. No list building. No guessing. No generic sequences. How it works : 1) GojiberryAI continuously observes activity relevant to your ICP and your company, signals that already exist, but are impossible to track manually. 2) GojiberryAI detects high-intent prospects in real time. - Profile views. - Post engagement. - Company follows. - Job changes. - Funding announcements. - Competitor interactions. These signals happen every day. Most teams never see them. 3) GojiberryAI understands context before acting. It researches the prospect, the company, and the situation before generating outreach. Messages are grounded in real activity and real intent, not fake personalization. 4) GojiberryAI launches personalized outreach automatically. Messages are written from actual signals and context, designed to sound natural and human, not like automation. Before GojiberryAI, teams manually scrolled online hoping to catch intent. Now intent is captured, prioritized, and actioned at scale. Cold outbound tries to create interest. Warm outbound captures it. Why we built GojiberryAI : Most teams end up in one of two traps: • Hire SDRs to manually monitor LinkedIn and send messages all day • Stack 6–8 tools together and still miss the right moments We built GojiberryAI to replace that entire workflow with one GTM brain. One system. One source of truth. One goal: book qualified demos consistently. So far, it works. Founders and small sales teams are booking more meetings with fewer messages. Less noise. More signal. But this is just the beginning. Our goal is simple. - Make warm outbound the default way B2B teams grow on LinkedIn. - Shift outbound from volume-based to intent-based. - Help small teams compete with massive sales orgs. If you’ve read this far, here’s a gift We documented our internal warm outbound playbook: • The buying signals we track • How we prioritize prospects • How we personalize at scale without spam ------- Comment “GOJI” and I’ll send it to you !

This AI SEO SaaS had zero traction on LinkedIn. No audience. No demand. No proof anyone cared. Then we published ONE post... What happened next shocked the founder: • 180,000 impressions • 2,000+ commenters & new followers • 153 early-access applications • Pipeline conversations started immediately • All from a product no one had heard of a week earlier We just documented the exact breakdown of how we did it. Want it? Comment “SAAS” and I’ll send you the link. Here’s 7 reasons you should comment “AI”: 1. The company had no brand presence before this post 2. LinkedIn wasn’t part of their GTM at all 3. No ads. No outbound. No audience seeding 4. The post went from 0 → 180K impressions organically 5. Early-access demand validated the product instantly 6. The founder now has inbound demand before launch 7. LinkedIn is becoming their #1 distribution channel pre-revenue If you’re building a brand-new B2B SaaS and want to learn how to generate demand FAST with LinkedIn... Comment “SAAS” right now.

FYI, if you see those posts starting with "I replaced my $150k marketing team", "I just fired my $200k sales team", "Replace your $3/hour content team" with this AI agent, comment Pyramid scheme to get it. Repost for priority access.... If they don't show you their AI bill, they are lying sacks of F****** s*** **** **c*s (poop heads)

The last 3 months I've built several AI workflows—for every stage of the funnel. Top of funnel. Middle. Bottom. Some client facing, some just internal for twelfth agency. 👉🏼 Connecting Claude to MCPs for GTM orchestration 👉🏼 Building AI-data warehouses and custom reporting 👉🏼 Agents that can handle segmentation, clustering, personalization It's saving time. It's producing higher quality results. It's creating outcomes, not busy work. Here's what I've learned and can't wait to share: → AI CAN'T replace strategy. It needs to amplify it. → When you nail a workflow, everything changes. → But building a strong workflow can be frustrating and time consuming. I will be breaking down a bunch of these ABM workflows at Full Funnel Summit. If you're running demand gen and feeling the pressure to do more with less—this one's for you. Full Funnel Summit March 24th - March 26th It's virtual and free to attend Register in the comments 👇 And don’t miss these other awesome folks that are speaking! Leanne Chescoe Davis Potter , Lauren Goodell Vladimir Blagojević Tim Rutten Ashley Lewin Matt Heinz Ashley Faus Shlomo Genchin Tycho Luijten Sara Stella Lattanzio Diandra Escobar Justin Rowe Thibaut Souyris

CLAUDE CODE just killed traditional content. And I'm never going back. Most founders still create content 1 of 2 ways: 1. They hire VA = $500/month for recycled posts that book zero calls 2. DIY content = 2+ hours a day writing stuff that goes nowhere Because everyone told them the same lie: That AI thinks in templates. Outputs in bulk. Sounds like it was written by a robot having a bad day. That was true. Until Claude Code happened. It now handles a complete content and lead magnet operation: - Generates post ideas based on your offer and audience - Writes in your exact voice using proven frameworks - Builds lead magnets that attract qualified buyers - Creates DM sequences that convert comments into calls - Adapts tone per content type: authority post, story, or offer - Delivers a full week of content in under 11 minutes The output is more personalized than any agency or VA you'll ever hire. And it costs $0/month. I put together the entire Claude code system in a simple guide. Want access? Like + Comment "CODE" PS: Repost for priority access (We must be connected for me to send)

𝗔𝗿𝗿ê𝘁𝗲𝘇 𝗱𝗲 𝘃𝗼𝘂𝗹𝗼𝗶𝗿 “𝘀é𝗰𝘂𝗿𝗶𝘀𝗲𝗿” 𝗹’𝗶𝗺𝗽𝗿é𝘃𝘂. 𝗦é𝗰𝘂𝗿𝗶𝘀𝗲𝘇 𝘃𝗼𝘁𝗿𝗲 𝗰𝗮𝗱𝗿𝗲, 𝗲𝘁 𝘃𝗼𝘁𝗿𝗲 𝗲𝘅é𝗰𝘂𝘁𝗶𝗼𝗻. Dans une PME, l’imprévu n’est pas l’exception : c’est la norme (clients, staffing, cash, recrutement, délais, fournisseurs). Le vrai problème, ce n’est pas l’imprévu. C’est quand il vous fait sortir de votre cap, vous dilue vos priorités, et casse votre cadence. ➡️ C’est là que les dirigeants se font piéger : plus ça bouge, plus ils essaient de “tout contrôler”… et plus ils créent du bruit : nouvelles offres, nouveaux marchés, nouveaux outils, urgences partout. Résultat : dispersion, décisions lentes, équipes épuisées, marge qui se tend. Chez PEAK Performances, on ne promet pas la stabilité. On installe un système pour tenir quand ça bouge : cap, renoncements, décisions, 30-120-180. 5 règles simples pour “exploiter” l’imprévu (sans subir) 1) Cap non négociable. Une ligne de mire claire qui évite les zigzags à chaque alerte. 2) Priorités explicites (et renoncements). Ce qu’on fait. Et surtout ce qu’on ne fait pas, même sous pression. 3) Cadence courte, tenue. Une revue régulière qui transforme l’imprévu en décisions — pas en agitation. 4) Seuils d’alerte = décisions automatiques. Quand X se dégrade, on déclenche Y (pas de débat émotionnel, pas de panique). 5) Traçabilité des décisions. On décide, on assume, on apprend, on ajuste. Sans réécrire l’histoire tous les lundis. L’imprévu ne se contrôle pas. Mais vous pouvez contrôler votre façon de décider quand il arrive. Vous voulez que je vous dise en 10 minutes si votre dérive vient du cap, des priorités ou de la cadence ? ➡️ Envoyez 𝗗𝗜𝗔𝗚 en DM. Je vous retourne votre profil de maturité + le 1er levier à activer. Je suis Sophie. Je co-pilote votre croissance : cap, renoncements, décisions — 30-120-180. #PME #Dirigeants #Strategie #Leadership #Execution #Pilotage #Priorisation #Resilience #Transformation #EnduranceStrategy #PEAKPerformances #30_120_180

Votre collecte de données en ligne est freinée par une chose que trop d’entreprises délaissent encore en cette fin 2025. Et je ne parle pas d’une absence de Server-Side ou de Enhanced Conversion. Je parle de la (bonne) mise conformité de votre site web. Et pas pour les raisons auxquelles vous pensez… … même si au niveau des clients que j’accompagne, je constate effectivement que la majorité n'est jamais vraiment 100% conforme. Mais je ne veux pas parler de ça aujourd’hui. Partons du principe que notre site web est parfaitement conforme au RGPD/Loi 25 etc. Et bien même dans cette éventualité, la majorité du temps le bandeau de consentement n’est presque jamais optimisé pour le marketing. Et cette erreur fait perdre en moyenne 30 à 50% de données brutes à l’entreprise. Et ça, je le vois dans environ 40% des audits que je réalise. 👉🏻 Le lien vers mon outil pour auditer la maturité de votre collecte de données en -2 min est dans le premier commentaire. Le problème, c’est qu’on oublie que par définition, une CMP du point de vue marketing est un outil de décroissance. Donc mal optimisée, c’est une attribution des conversions qui est faussée, des volumes de données mois important pour nourrir les algos publicitaires et donc un temps plus long qui est nécessaire pour observer des résultats, aller chercher votre ROAS, CPA cible etc. Voici donc 5 points à valider dès maintenant sur votre bandeau de conformité pour checker son optimisation marketing: ❶ Un affichage Consent Wall Vous bloquez la navigation de vos internautes tant qu’ils n’ont pas fait un choix en matière de consentement. C’est ESSENTIEL. ❷ Une mécanique de refus dynamique L’affichage et l’emplacement du “Continuer sans accepter” est dynamiquement placé au bon endroit en fonction de la localisation de vos internautes ❸ Un CMP robuste et efficace Oubliez les CMP custom et les plugins gratuit. Une CMP est un outil indispensable qui implique un certain investissement (en moyenne, entre 10-30€/mois avec Axeptio ou Sirdata) ❹ Une personnalisation de marque Intégrez votre logo, vos couleurs de marque voire votre typographie. La CMP est le premier touchpoint de vos internautes avec votre site, rendons-là agréable! ❺ Un bon chargement de la CMP Mon conseil est de la charger avant TOUS les autres outils marketing en l’intégrant directement en dur sur votre site. Si un de ces points n’est pas validé, je vous encourage à revoir votre configuration au plus vite pour stopper l’hémorragie. Ensuite, contrôlez religieusement l’évolution de vos taux de consentement et taux opt-in pour valider le volume de consentements (et donc de données) incrémentales que vous collectez. Être conforme est (normalement) non négociable. Mais cela ne doit pas pour autant tuer votre marketing. Et avec une CMP bien configurée, la conformité passe d’un fardeau à un véritable avantage concurrentiel. Je suis curieux de savoir si la vôtre coche toutes les cases.

I spent the last 6 months documenting every GTM tool worth running. Here's what you actually need in 2026: Apollo, Instantly.ai, HubSpot, and if you're more advanced HeyReach.io, RB2B and Attio. Most GTM teams at scale use the same 5 tools: Apollo, Instantly, HubSpot, Mailchimp. I've built systems that process 100,000 leads per week. Scaled cold email infrastructure across 2,000 domains. Stress-tested every major enrichment waterfall. The tools that 200+ person B2B SaaS companies use are not always the same you should use as a startup or agency. Here are 7 categories that matter (we documented 13): 1. List Building & Lead Discovery (19 tools evaluated) Apollo is still the biggest, best database. But if you only use Apollo, you get leads without signals, which means burning through 100k leads to hit quota. To land leads without burning 100k leads, add: - Crunchbase for firmographics - Ocean.io for lookalike company discovery - BuiltWith for technographic targeting Kaspr works for EU SMB contact extraction. Seamless.AI handles high-volume prospecting when quality requirements are flexible. RocketReach for ad-hoc contact searches. The pattern: Apollo for database, other tools for signals, ICP segmentation. 2. Email Verification (10 tools evaluated) You need two types of verification: Normal email verification: Reoon ($11.90 for 10k credits) or Million Verifier. Best cost-to-accuracy ratio for teams sending 50k+ emails monthly. Catch-all verification: NeverBounce, ZeroBounce, or Bounceban. These find safe emails within the catch-all category that standard verifiers miss. 3. Data Enrichment & Waterfall Tools (9 tools evaluated) To find contacts and enrich contact information: - BetterContact (15+ providers) - LeadMagic (email-first enrichment) - ICPS 80% coverage threshold requires multi-provider logic. 4. Signal & Intent Detection (11 tools evaluated) Anonymous website visitors convert at 3-5x identified traffic. RB2B for US-focused Slack integration. Trigify.io for GTM teams at $134/mo. 6sense for enterprise ABM platform requirements. Intent is the most important signal you can track. 5. Cold Email Sequencers (17 tools evaluated) Use: Instantly, Smartlead, or EmailBison for multi-domain scale. If you're running a team, use Instantly, Smartlead, or Reply.io. The difference between "email tool" and "cold email sequencer" is whether deliverability and domain rotation are core architecture. 6. LinkedIn Automation & Outreach (10 tools evaluated) Tools: Heyreach, La Growth Machine, Expandi. 7. AI & Research Tools for GTM (9 tools evaluated) Claude and ChatGPT are the best. Claude and OpenAI's APIs for custom GTM automation. If you want to automate workflows, use Relevance AI. The complete tool database: 142 different GTM tools across 13 categories, every evaluation includes verdict and use case. Built for senior GTM engineers running systems at 80+ person B2B SaaS companies. Comment "TOOLS" for the full database.

🚀 I'm giving away access to my ENTIRE Claude prompts vault. 4,500 prompts across 9 AI assistants. This is the exact stack I use to run my entire business on autopilot: → Social media content & growth → Lead generation & conversion → SEO & content strategy → Sales messaging & outreach → Marketing analytics & attribution → Startup operations & scaling If you want access to this 1. Like this post 👍 2. Comment "Assistant" Repost for priority access (Must be connected with me)

Anthropic just shipped Agent Teams inside Claude Code. And almost nobody realizes how big this actually is. For months, the OpenClaw community was already doing this using custom skills, brittle setups, and awkward workarounds. Anthropic noticed. They made it native. No plugins. No hacks. No weird setup. Everything now lives directly inside Claude Code. Here’s what really changed. Instead of a single agent doing everything step by step, you now get a lead agent that breaks your task into clear pieces, spins up multiple specialized agents, and runs them in parallel. One agent researches. One agent debugs. One agent builds. They communicate with each other, share context, and move the project forward together. You don’t manage agents anymore. You manage outcomes. I put together a complete, practical guide that explains What Agent Teams really are and how they actually work How they differ from sub agents and when to use each How to enable them in under 30 seconds Exactly what to say to launch your first team Best practices to avoid burning through tokens The real limitations you need to understand before using them This is one of those features that sounds minor on paper but completely changes how you work with Claude Code once you start using it. If you’re serious about building with Claude Code, this will permanently upgrade your workflow. Connect with me. Comment AGENT and I’ll send you the full guide 🧠

We're hiring for a Senior SEO Manager ($50k-$80k salary) Discovered Labs continues to grow fast and we're looking for another great person to join the team. Quick background: We help B2B companies win across SEO and AEO, working with $10m to $50m ARR companies. Our clients are names you see appear on LinkedIn every week. < Snapshot of what you'll be doing > * Own end-to-end roadmaps and performance for a portfolio of B2B client accounts - you're the directly responsible individual (DRI) * Lead SEO and AEO strategy alongside a team of specialists: audits, technical fixes, on-page optimisations, content direction, off-page presence * Monitor and report on organic performance across traditional search AND AI platforms (ChatGPT, Claude, Perplexity, Google AI Overviews) < Ideal person for this role > * You have existing senior experience owning the bigger picture of organic performance - not just task execution * You like data. You dig into numbers to understand cause and effect, trends, and outlier variables * You have high agency. You see broken processes and fix them without being asked. * You're excited about the AI search shift - you believe Google and backlinks are important but no longer the full picture This is a fully remote role. Ideally your timezone is within +/- 4 hours of GMT. // 🔗 Link for full job description & application form is in the comments If you're reading this I'd greatly appreciate if you could engage and/or share so the right person finds this, thank you 🙏 // P.S. We're building a new type of agency/services company - not one that uses n8n or ChatGPT projects and calls it innovation - we've built our own stack of tools and technology that gives clients an unfair advantage. We're looking for A+ people who want to lean in to this next era of organic search, do great work and be rewarded for it.

This Claude Code workflow cuts prospecting time by 70% for sales teams. My team just finished mapping out the entire AI workflow. They said this will "eliminate context-switching for all sales reps" You sure? Ask any sales leader, most SDRs spend 40-60% of their day on admin work. ↳ Switching between Lists, LinkedIn, CRM, email, Chrome tabs. ↳ Manually enriching contacts. ↳ Copying data. Logging activities. Babysitting sequences. So we built an Apollo io + Claude integration that turns HOURS of prospecting into seconds of GTM execution with AI. The system allows you to: – Find and enrich 200+ prospects per hour – Generate personalized outreach that references signals – Automate 90% of CRM updates based on prospect behavior – Remove engaged prospects from sequences automatically – Get sequence performance insights into Slack In this blueprint we give you: → Apollo MCP server architecture → AI-powered prospecting workflow → Hyper-personalization engine → Automated sequence management → Implementation roadmap → Sample commands (NLP → API mapping) Your sales team doesn't need 5 tools and 30 hours a week. You need this workflow. It's based on an actual PRD—architecture, workflows, success metrics, GTM strategy—and ready to build. Want the full PRD? 1️⃣ Connect with me 2️⃣ Comment "APOLLO" below I'll send it your way today. Try Apollo yourself: https://lnkd.in/gN2Xb6_n

Conrad Niedzielski launched a new cold email SaaS 30 days ago. He wanted to scale it with LinkedIn. And the results have been absurd... He’s booking 3–8 demos every single day… and he crossed $30K+ MRR in his first month. We just finished putting together a full breakdown showing exactly how we did it, all using LinkedIn Want it? Comment “30” and I’ll send it to you. Here’s what makes his result even crazier: 1. He did zero cold DMs and pitches 2. He hadn't posted in multiple months 3. His SaaS didn’t even exist 60 days ago 4. He had never built an inbound engine before 5. He onboarded his first wave of users in under 3 weeks 6. He scaled from 0 → 3-8 inbound demos/day in a month 7. And LinkedIn now drives most of his user acquisition We’re implementing this system with dozens of B2B SaaS founders right now before the market catches on. This is the closest you’ll get to seeing our internal growth engine without working with us. So if you want to see how we turned a brand-new founder with a brand-new product into an MRR machine in 30 days… Comment “30” below. PS - If you’re a SaaS founder and you want LinkedIn to become your #1 source of consistent inbound demos, DM me “DEMOS.”

It took us 100 days to turn a dead B2B SaaS on LinkedIn... Into a funnel booking 5-10 demos/day In the first 100 days, we generated: → $48,668 in new MRR → 672 demo calls booked → Over 30,000 followers added across all accounts This wasn’t a launch spike. This was infrastructure. Here’s exactly what we did. When Prosp (an outreach tool) came to us, they had: → A solid product → No consistent inbound → Founder-led growth hitting a ceiling The problem wasn’t the offer. It was that nobody important was seeing it. Step 1: Strategy before content We didn’t “post more.” We: → Mapped their exact ICP buying triggers → Identified what SaaS buyers already trusted on LinkedIn → Built a lead magnet designed to pre-qualify demos → Positioned the founder as the authority, not the tool Step 2: Authority launch We launched with content that: → Explained the problem better than competitors → Showed clear opinions, not generic SaaS advice → Directed attention into a single conversion path No virality chasing. Only relevance. Step 3: Conversion system Attention doesn’t pay the bills. So we installed: → Comment-to-DM conversion flows → Qualification before calendar links → Pre-call proof to eliminate tire-kickers Every conversation had context. Every call had intent. The results (first 100 days) → $48,668/month added → 672 demos booked → Consistent inbound from LinkedIn alone And this isn’t a one-off. We’ve used the same system to: → Launch Phantomwriter to $11,633/month in under 60 days → Help William Brown cash collect $580,000+ in a single month → Generate 12 meetings in one day for Eugenio Zabell with one post The companies didn’t change. The demand architecture did. Want the exact system we use? 1. Connect with me 2. Comment “DEMAND” I’ll send you the full breakdown.

Introducing GojiberryAI, the world’s first AI Go To Market Brain GojiberryAI automatically turns buying signals into personalized outreach and booked demos. No list building. No guessing. No generic sequences. How it works : 1) GojiberryAI continuously observes activity relevant to your ICP and your company, signals that already exist, but are impossible to track manually. 2) GojiberryAI detects high-intent prospects in real time. - Profile views. - Post engagement. - Company follows. - Job changes. - Funding announcements. - Competitor interactions. These signals happen every day. Most teams never see them. 3) GojiberryAI understands context before acting. It researches the prospect, the company, and the situation before generating outreach. Messages are grounded in real activity and real intent, not fake personalization. 4) GojiberryAI launches personalized outreach automatically. Messages are written from actual signals and context, designed to sound natural and human, not like automation. Before GojiberryAI, teams manually scrolled online hoping to catch intent. Now intent is captured, prioritized, and actioned at scale. Cold outbound tries to create interest. Warm outbound captures it. Why we built GojiberryAI : Most teams end up in one of two traps: • Hire SDRs to manually monitor LinkedIn and send messages all day • Stack 6–8 tools together and still miss the right moments We built GojiberryAI to replace that entire workflow with one GTM brain. One system. One source of truth. One goal: book qualified demos consistently. So far, it works. Founders and small sales teams are booking more meetings with fewer messages. Less noise. More signal. But this is just the beginning. Our goal is simple. - Make warm outbound the default way B2B teams grow on LinkedIn. - Shift outbound from volume-based to intent-based. - Help small teams compete with massive sales orgs. If you’ve read this far, here’s a gift We documented our internal warm outbound playbook: • The buying signals we track • How we prioritize prospects • How we personalize at scale without spam ------- Comment “GOJI” and I’ll send it to you !

NEVER waste hours on LinkedIn outreach again… These 4 AI agents replace 10+ hours of manual LinkedIn work every week. And we’re giving them for free. We built them after watching teams: – Overthink DMs – Guess Sales Nav filters – Rewrite headlines endlessly – Burn time on bad icebreakers Now the AI handles it. The AI agents: 1. Outreach Message Analyzer → Audits ANY LinkedIn message you paste → Explains why it gets ignored → Rewrites it for clarity and replies 2. LinkedIn Headline Generator → Turns vague profiles into clear positioning → Optimized for profile views + inbound → Built for founders, sales, and agencies 3. Sales Navigator Filters Generator → You describe your ICP in plain English → It builds exact Sales Nav filters → Removes junk leads instantly 4. LinkedIn Icebreaker Generator → Creates natural first lines from real profile context → No templates → No “Hey {{first_name}}” spam What this replaces? – Manual brainstorming – Trial-and-error outreach – Copy-paste workflows – Hours of setup per campaign These are the same internal tools we use to: – Launch outreach faster – Improve reply quality – Reduce operator effort Comment “GOJI” and I’ll send you access

I'm booking 150+ meetings every single month without spamming. 0 random outreach. 100% intent signals. 1,000s of qualified leads. Copy this ↓ Comment "OUTREACH" and I'll send you the link. Most founders waste their time chasing: → Random CEOs who never see their DMs → Cold lists with zero buying intent → Outdated LinkedIn data that burns cash fast I flipped the model upside down: Persona + Intent = Only reaching people ready to buy. The data shows we made the right decision: → 69% connection acceptance rate → 53% reply rate on cold outreach → 150+ meetings booked every month I created a breakdown video where I show the complete system to get intent-based leads on LinkedIn. Comment "OUTREACH" & I'll send it to your DMs. P.S must be connected – repost for priority access ♻️

One of my clients burned $80k before realizing step 1 was wrong: They were a fast-growing B2B SaaS team. Just raised a round. Ready to scale outbound. So they did what most execs do: → Hired 3 reps → Bought lead lists → Wrote solid copy → Hit send And waited. The results? - 18% open rates - 0 meetings booked - Reps blaming the messaging - Founders blaming the reps They even considered scrapping outbound altogether. But the problem wasn’t the team. It wasn’t the message either. It was infrastructure. No one checked the sending setup. No one tracked reputation. No one built a real system to protect their inboxes. They were firing campaigns from burner Gmail accounts and wondering why nothing landed. That’s when we brought in Maildoso. Here’s what changed: ✅ Self-healing mailboxes ✅ Google Workspace + SMTP rotation ✅ US-based IPs, real domains ✅ Deliverability monitoring + auto-replacement Fast forward 30 days: - 98%+ inbox placement - 5 meetings/week - Cold email went from a gamble to a pipeline engine Lesson? Step 1 of outbound is NOT copy. It’s not hiring reps. It’s not even building lists. Step 1 is infrastructure. No infra = no delivery No delivery = no pipeline No pipeline = no growth Cold email isn’t broken. Most companies just skip the foundation. Don’t be that guy. Do outbound properly. Inbox or nothing. PS: Guess where I was in that picture, and I’ll send you my AI GPT cold email bot for FREE in your DMs.

Claude Cowork just gave non-technical founders their own AI engineer for $100/month, And the Virtual Assistant industry has officially entered the extinction race. Anthropic just released "Cowork." I used to think you needed a dev team to build complex workflows. But this isn't just "no-code." It's an autonomous engineer that lives on your desktop. The beauty is in the access. It doesn't just generate text. → It connects to your browser (R.I.P. Atlas) → It accesses your local file system → It schedules and executes tasks across apps We are watching the "wrapper" startup era end in real-time. Why pay for 5 different B2B SaaS tools when one agent can do it all? I built a LinkedIn appointment setter with it in one afternoon. No code. No dev. Then I had Cowork search X, Reddit, and the web for 50 more positive ROI use cases. Want the list? 1. Comment "COWORK" below 2. Connect with me (so I can DM you) 3. Like this post P.S. Repost for priority access

CLAUDE booked me 112 meetings in the last 30 days on AUTOPILOT. No research. No sending messages. No follow-ups. You’re doing outreach WRONG. Either spending hours researching prospects and sending messages manually… Or using automation that strips away all personalization. And the second someone replies? You’re BACK to manual work. I just let CLAUDE handle my ENTIRE LinkedIn conversation flow. Not just the first message. Not just follow-ups. The ENTIRE thing. CLAUDE: → Sends connection requests → Scans each prospect’s profile for real signals → Writes unique first messages → Handles replies, objections, and qualification → Books meetings on full AUTOPILOT → Follows up uniquely for each prospect The result? 112 qualified meetings booked in 30 days. I didn’t send a single manual LinkedIn message. This isn’t some sketchy bot that gets you banned. It’s a real AI system. Want access to the exact setup? 1. Connect with me 2. Comment “SDR” P.S. Repost for priority access.

Le piège de l'IA : Elle donne l'impression de créer un bon produit. Une idée. Un prompt. Et en 3 heures, vous avez un produit. Mais vous avez sauté une étape : Est-ce que le marché en a besoin ? L’IA accélère la création Mais elle ne valide pas le besoin. Les meilleurs fondateurs : - Parlent à leurs prospects - Valident leur douleur - Testent leur volonté à payer En 2026, les gagnants ne seront pas ceux qui créent vite. Mais ceux qui écoutent le mieux. L’IA est un outil puissant. Mais ce qui compte, C’est votre capacité à cibler le bon problème. Mon guide avec les 12 signaux pour identifier un vrai besoin. En commentaire. Suivez-moi Dimas Florentino Azis pour des conseils en stratégie produit pour SaaS B2B.

NEVER waste time on cold outreach again. We’ve booked 140+ meetings in last 15 days using warm, high-intent outreach. Without spray and pray or manual prospecting. Comment "WARM" and I'll send you the full system. Most founders still: - Blast 100+ cold messages daily and get ignored - Pay agencies $5K-10K/month to burn through leads - Chase prospects who were never buying - Waste hours personalizing messages that don't convert I built a system that only targets people already showing intent. Here's how it works: → Our AI agent identifies prospects based on actual buying signals → Messages are crafted around real context, not templates → Conversations start warm because timing is right → Follow-ups happen based on engagement, not schedules → Only qualified leads hit your calendar The result? → 7 meetings booked per day → 140+ total meetings from warm outreach → 60%+ reply rates (not 2%) → Prospects who actually want to talk The difference between cold outreach and warm pipeline? Intent signals most people ignore. I've documented the exact system. Want it? 1. Comment "WARM" 2. Connect with me (so I can DM) 3. Like this post I'll send it to you. ♻️ Repost this if you're feeling nice :)

Clawdbot beats manual LinkedIn outreach for booking meetings. I just finalized the Clawdbot Setup Guide — get access ↓ Clawdbot is the most efficient way to run LinkedIn outreach right now. It doesn’t just send messages. It: → Finds ICP-fit prospects automatically → Detects real buying intent from LinkedIn signals → Writes context-aware openers → Runs structured follow-ups → Qualifies leads before a calendar link appears This one system replaces hours of manual prospecting and follow-ups. But 90% of people still treat outreach like it’s 2019. Manual research. Spreadsheet tracking. Guessing who’s ready. That’s why they burn out. Clawdbot doesn’t “help” with outreach. It runs the entire system. So I documented the full Clawdbot framework: → How it identifies high-intent prospects → The signal-based targeting logic it uses → The outreach workflow that keeps accounts safe → The qualification layer before meetings get booked → The exact setup that runs on a simple laptop or server If you’re doing LinkedIn outreach manually, you’re wasting leverage. Comment “CLAUDE” and I’ll DM you the full setup guide. ♻️ Repost for priority access — inbox fills fast.

Clawdbot just destroyed LinkedIn outreach. And it books 1-3 meetings/day on Autopilot While everyone's burning out on manual prospecting... This AI is running warm outreach 24/7 and filling calendars with high-intent leads. Here's what happened: Old LinkedIn outreach (dead): •⁠ ⁠Spending 3 hours/day on manual research •⁠ ⁠Generic copy-paste messages that get ignored •⁠ ⁠Forgetting follow-ups and losing hot leads •⁠ ⁠8-12 meetings/month if you're lucky •⁠ ⁠Burned out by Tuesday Clawde outreach (alive): •⁠ ⁠AI finds high-intent prospects overnight •⁠ ⁠Personalized messages written from real context •⁠ ⁠Perfect follow-up sequences that never miss •⁠ ⁠140+ qualified meetings/month on autopilot •⁠ ⁠You just show up and close What makes it different: → Finds ICP prospects with actual buying signals (not random connections) → Writes openers that reference real profile details (no "Hey [First Name]" garbage) → Sends at human pace with safety limits built-in (zero LinkedIn bans) → Handles replies, objections, and "circle back later" responses naturally → Qualifies leads based on intent signals (only real opportunities hit your calendar) → Books meetings directly while you sleep (wake up to a full pipeline) → Delivers conversation context to your CRM (you know exactly who you're talking to) Setup time → 30 minutes. Runs on: A laptop (a mac mini) in the background. Control: Text it. It executes. Result: Close deals, not chase leads. Here's the truth… LinkedIn outreach still works. But only if you do it at scale, with personalization, consistently. That's impossible manually. That's why Clawdcowork exists. Want 60+ qualified meetings next month? Comment "CLAUDE" below and I'll send the full setup guide. (Must be connected for me to DM you)

TikTok is not just for Gen Z. This workflow pulls viral B2B content in your niche. Every morning at 7am, it sends me 5 TikToks. Not dance videos. Viral content in MY industry with 500K+ views. The workflow: → Searches TikTok for my keywords → Keeps only top 5 by views → Extracts subtitles → Rewrites as LinkedIn posts → Delivered to my inbox What I discovered: → Hooks that stop the scroll → Angles I never thought of → Topics my audience actually cares about TikTok is a content goldmine. Most B2B people ignore it. Their loss. Comment "Tiktok" if you want the workflow.

One post we wrote added $5,000 in Monthly Recurring Revenue in 24 hours for a B2B SaaS. Instead of spending months trying to crack LinkedIn content... This B2B SaaS decided hire us, and we did it in one post. The result? $5,000 in projected monthly recurring revenue added to his business within 24 hours. But here's where it gets better: We took that same post, repurposed it with a slight tweak, and it generated another 2,000 comments. Combined results: - Over 400,000 impressions - Hundreds of high-quality leads - Multiple closed deals from one piece of content I just put together a document revealing the EXACT post it was, and the strategy behind it. Comment "POST" and I'll send it over. P.S - I'll only be sharing it for the first 24 hours.