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Still Getting Rejected in GRC & IT Audit Interviews? Are you preparing for opportunities in IT Audit, GRC, SOX, ITGC, Risk Advisory, Internal Audit, TPRM, or IAM? Over the years, while working in Governance, Risk & Compliance and interacting with many professionals preparing for interviews, I noticed one common challenge: Most candidates understand the concepts. Very few know how to answer practical interview questions based on real project experience. Interviewers are increasingly focusing on scenarios such as: How would you handle delayed audit evidence? How would you respond if a control failed during testing? How would you conduct a walkthrough with a process owner? How would you explain a risk finding to a client or stakeholder? How would you transition from TPRM experience into ITGC or SOX testing? To help professionals prepare for these discussions, I have shared a preview of my GRC & IT Audit Interview Master Guide. The preview includes topics such as: • Transitioning from TPRM to ITGC & SOX • Real client walkthrough approaches • Handling evidence delays professionally • Practical audit scenarios from real engagements • KPIs and metrics commonly discussed in interviews • Concise interview-ready answers The complete guide includes: • 100+ Real Interview Questions • HR, Technical, Manager and Client Interview Rounds • 50+ Practical Audit Scenarios with Answers • SOX, ITGC, GRC, TPRM and IAM Question Bank • KPIs, Metrics and Formula Reference • Consultant Communication Cheat Sheet • Real-world audit examples and best practices If you are actively preparing for GRC, IT Audit, SOX, ITGC, TPRM, or Risk Advisory roles, this guide can help you understand not only what to answer, but how experienced consultants approach real situations. Interested in the complete guide? Comment "FULL GUIDE" and send me a message. I will share the guide details and purchase information. If you find the preview useful, please like, comment, or repost so i

If you're raising a VC or PE fund, venture studio or accelerator, I can share a database of 230+ Funds of Funds ($5+ trillion in combined AUM) actively investing in VC in 2026. Includes: - 100 US, 95 EU, 7 Canada and 30 Israel / MENA / APAC / LatAm FoFs - VC allocation % for each fund - AUM - Key contacts - Linkedln - Recent activity - Strategy focus: VC/PE, primary, secondary, co-invest, direct Let me know in comments if you’d like free access

We've built AI agents that scrape the whole DTC ad market every week. This week they read 40 rising ads from the top 50 DTC brands in Atria. All statics analyzed, every video watched end to end. Six patterns, each with one move for your next batch. 1. Statics argue like a slide, video argues like a lab. Charts, timelines and spec chips on the static. Move: build your top claim twice. Once as a diagram, once as a test on camera. 2. The proof moved inside the frame. Study names, percentages, press screenshots and disclaimers all sit in the design now. 3. Before-and-after without the photo. Illustrated timelines. Day 1 versus Day 90 as written symptoms. Case cards with condition chips. Move: write the before and after as two text columns first. Then decide if you need a photo. 4. Video is built for sound off. Most videos run burned-in text. Several have no speech at all. Move: script the on-screen text before the voiceover. If the text alone doesn't sell it, the video won't. 5. The brand shows up late. The best hooks open on a contradiction or a confession. One explainer hides the product for 72 seconds. 6. Winners get cloned, not replaced. hims runs one testimonial across 40 ads. Lyka runs one case card across 20. Move: when an ad wins, don't brief a new concept. Brief the same construction across every persona, crop and offer. The full report is one file. Drop it into Claude or ChatGPT as a context layer before you brief your next batch. Comment and I'll share the full report.

After two years of sending LinkedIn notes... I fed Claude everything that actually worked. What came back is the short list. The openers that still get a reply from someone who has never heard of you. This is what is left after a few hundred variations we ran on our own account first. So I put all of it into one document you can start using today. You will get: → the connection notes, ready to use, every one of them under 30 words → how to stand up a new campaign in a few minutes instead of an afternoon → how to set up the agents that fill tomorrow's queue while you sleep → how to launch the whole thing this week and get the first replies out of it This is for: - B2B teams - agency founders - anyone running outreach at any real volume One thing before you ask for it. A template is not the reason they reply. The reason sits on their side: the note landed the week something moved for them. A new job, a raise, a comment they left under a competitor. The templates just stop you from rewriting the same sentence for the fortieth time. How to spot that week is in there too.

I've been quietly building a database of our highest-performing ads of all time. Some of these have profitably spent $1M+... And I put them all into 1 FREE swipe file. For each ad, I've included a full breakdown of: • The goal of the ad • The target audience behind it • The strategy behind every angle • Specifically WHY it worked so well And exactly what you can do to replicate the success with your own brand. This is an accumulation of every single creative that has been battle-tested by us with real money behind it. (plus, we update it constantly as new winners emerge) So, why share it? Because I'm seeing that most brands/marketers study ads the wrong way. They screenshot and save.... But never actually understand the WHY behind winning creative. This fixes that. Want access to our Creative Hall of Fame? • Comment "HOF" • Connect with me if we're not already connected I'll send you the link ASAP.

Copy that gets me 8+ meetings a week. And a 30% reply rate. Through LinkedIn alone. You could be doing everything right: → Sourcing TAM → Qualifying / disqualifying → Deduping / normalizing → Scoring → Tracking signals But then when the time comes to reach out, you're sending out the most AI-generated copy seen in mankind. And no, it doesn't matter if you prompted Claude 20 times until you got there. AI alone is not good enough. Be authentic and put in the effort, you'll get rewarded. Here is what works (for LinkedIn): 1/ Keep this only for high-tier accounts you want to reach out to, because it's very limited. → 100 connections a week. → 20 connects a day max. → 20 messages a day. 2/ The first weeks of outreach are for testing what works and doing the research manually per account before reaching out. 3/ The copy: → Short messages (3 to 4 lines) → First line showing relevancy about the company/position, whatever, just something. → Come in with value. → Soft CTA. So no "can I have 15 min of your time?", but rather ask to send them over the value. So it's very important to keep this only for the most important accounts. Tier 1s Also, warming up the accounts by viewing their profile or liking a post helps the reply rate skyrocket. And no message with the connection request. PS. I wrote a 6-page guide on a specific client campaign, on how we generated 250+ meetings in a timespan of 10 months. Interested? 1. Connect with me 2. Comment "KESTREL"

Sharing our "2027 Revenue OS" We charge $10K+ for the actual setup - get it for free It's pretty good and advanced. (can only be built with Claude Code or Codex) So, we run 4 acquisition channels: cold email, LinkedIn, website visitors, inbound. Now every one of them has our agent, and they all write to ONE place. (you know why) The rule: if it's not centralized, it's not going to work long term. (for us the main touch points are Slack and Attio) [1] Cold email Instantly.ai: ~200 mailboxes. Every positive reply gets qualified and posted on Slack for our SDR (and me) + created in Attio with enriched data. We have an agent do an inbox sweep checking if the SDR responded > then it writes an update to Attio and starts a follow-up sequence. Reminders on Slack. [2] Social media / content Every profile viewer, like and comment on my posts gets pulled (Apify + AI Ark + Exa, my own session for viewers). Each person gets qualified against my ICP and pings us on Slack. Tier 2 and 3 > cold emails. Tier 1 > LinkedIn. [3] Website visitors RB2B posts every identified visitor into Slack. Our agent enriches and qualifies the person, pings us if qualified, then writes to the CRM. [4] Calls and the Slack agent Cal(.)com booking = Call Booked. 30 minutes before, a brief in Slack. Canceled / rescheduled > webhook writes to CRM, pings on Slack. We also have an agent on Slack + Attio: all CRM updates run from Slack. I type "followed up with Aram, next touch Friday". (really really good for admin work) 7:05am - one digest with everything due. Underneath: Supabase as the ledger. Every contact, reply, visit and booking. Identity is email OR LinkedIn URL and the two merge. A duplicate event is rejected by the database. Main stack: Instantly, RB2B, Cal(.)com, Attio, Supabase, Railway, Slack, Claude Code. (+ 15 custom agents, + 10 GTM tools) I put together the whole thing: every agent, how to build and configure it + the prompts. Comment GET and I'll dm it to you! Share wi

You’re getting 10K views and 0 clients 🤯 Because you’re attracting the wrong 80% audience. Views are cheap. Buyers are specific. If your comments are full of: “Great post bro.” “What tool is that?” “Can you share the template?” …you didn’t attract demand. You attracted spectators. The fix isn’t “post more.” It’s filter harder. Start writing posts that: → call out a problem only your buyer feels today. → make a decision-maker nod, not a creator clap. → prove you’ve done it before (results > opinions). → give one next step so they don’t think… they act. Because likes don’t mean intent. Intent shows up as: saves, DMs, and specific questions. If your content makes everyone agree with you… No one is paying you. 📌 Comment “SYSTEM” and I’ll show you how to turn views into consistent leads (without posting more). P.S. The algorithm didn’t fail you. Your targeting did.

Je suis fier de vous présenter mon nouveau bébé. Je viens de connecter Meta à Claude. Je vous offre tout gratuitement. Ce nouveau bébé, c'est une page complète avec : → comment utiliser l'IA pour performer en publicité. → 2 projets Claude obligatoires en 2026. → 2 prompts à copier-coller pour votre marque. → avoir un Creative Strategist pour votre marque à 0€. → construire votre stratégie créative avec Claude. → trouver les meilleurs concepts pour votre marque. → écrire des scripts qui convertissent vraiment. Je ne me suis pas arrêté là. J'y ai vraiment passé beaucoup de temps. J'ai intégré tout ce qu'on utilise avec +500 marques. → découvrir de nouvelles big idea marketing. → chercher de nouvelles idées à attaquer. → débloquer de nouvelles poches d'audiences. Je ne veux pas gagner d'argent aujourd'hui. Je veux juste prouver qu'on est les meilleurs. Je veux aider les marques gratuitement. → multiplier vos performances en publicité. → diviser vos coûts d'acquisition dès la semaine prochaine. → construire la stratégie créative la plus puissante en 2026. Cette page est exceptionnelle. Accès GRATUIT ! 👇 Reposts priorisés en priorité absolue. ♻️

I built the most comprehensive Claude Code guide for marketing teams. Period. Most marketers copy-paste into Claude and call it "AI strategy." Here is the fix. 42 chapters. Free. I spent the last weeks building what I couldn't find anywhere: a Claude Code guide specifically for marketing teams. Not a "10 AI prompts" listicle. A full web app. Here's what's inside: 42 deep-dive chapters across 5 categories 40 copy-paste prompt cards for real marketing workflows 79 code examples with one-click copy 6 step-by-step tutorials (Blog Content Machine, ABM Generator, Reporting Dashboard, Content Repurposer, Email Automation, Social Media Automation) 5 interactive tools (ROI Calculator, Prompt Builder, ICP Builder, Skill Template Generator, Stack Compatibility Checker) Each tutorial has before/after comparisons. Blog content that took 6 hours? 45 minutes. ABM campaigns that took 3 days? 2 hours. The app itself: bilingual (DE/EN), dark + light mode, full-text search, progress tracking, keyboard navigation. Zero dependencies. No login. No backend. Runs in your browser. Who this is for: ... Marketing managers evaluating Claude Code ... Content teams scaling production ... Performance marketers building campaigns faster ... Marketing ops automating workflows ... Anyone asking "how do I actually use this thing?" From first setup to proving ROI to your management. Everything in one place. Want it? 1. Like this post (so others find it too) 2. Make sure we're connected 3. Comment "claude guide" I'll DM you the link. --- #ClaudeCode #B2BSaaS #MarketingOps #AIMarketing #MarketingAutomation

Comment ""GUIDE"" and I'll send you my free finance interview prep guide. 👇 After 20 years in this field and training 100,000+ people, I'm more convinced than ever: cracking a finance interview is far more learnable than most students believe. You don't need to be a genius. You need three things: Know the concept. Explain it simply. Back it with an example. That's the whole game - and anyone willing to put in the reps can get there. So I put together everything I'd want a student to walk in knowing, and made it ridiculously simple to follow. From the 3 statements, DCF, LBOs and the yield curve to derivatives... plus the stuff that wins offers: how to walk through a DCF out loud, the behavioral questions, how to pitch a stock, and what to do on interview day. Every concept comes with a plain-English example. It's yours, completely free. Comment ""GUIDE"" below and I'll send it straight to you. 👇 (And if it helps you, a repost might reach another student preparing for their shot right now.) #FinanceCareers #InvestmentBanking #FinancialModeling #InterviewPrep

Hello Founders! Over the last few years, I've spent hundreds of hours researching startup grants, government schemes, incubators, accelerators, and non-dilutive funding opportunities. The biggest challenge? The information is scattered everywhere. One scheme is on a government website. Another is hidden inside an incubator portal. A third is buried in a PDF nobody reads. So I decided to compile everything I know into a single resource. What's inside? 1. How startup grants actually work in India 2. Where to find grants, schemes, and funding opportunities online 3. Common mistakes founders make while applying 4. How to improve your chances of getting selected 5. The role of DPIIT recognition, incubators, and government programs 6. Practical insights I've learned from helping founders navigate the ecosystem This isn't theory. It's a compilation of the research, lessons, and frameworks I've gathered while working in the startup funding ecosystem. If you're building a startup and want to understand how grants really work, send me a connection request, comment "GUIDE" and I'll send you the PDF. Let's help more founders access capital without giving away equity. #GetGrants #StartupGrants #StartupIndia #FounderSupport #GovernmentGrants #NonDilutiveFunding #Incubators #DPIIT #StartupFunding #BlackLeoVentures

ChatGPT can write 365 LinkedIn posts for you. Even if you’ve never written content before. Here’s the simple system I built. Inside this guide you’ll learn: ➤ How to generate viral post ideas using ChatGPT ➤ How to turn simple thoughts into engaging posts ➤ The exact prompts I use to create LinkedIn content ➤ How to structure posts so people actually read them ➤ How to turn content into leads and conversations Most people struggle with LinkedIn because they don’t know what to post. This guide solves that. You’ll learn how to: • Write posts faster • Find content ideas in minutes • Stay consistent without stress • Grow your audience step by step If you want the LinkedIn Content Guide, 🧲Comment GUIDE and I’ll send it to you. ( send me a connection request, if we are not connected ) And if you want my help to get similar results or do this for your profile or your clients, we can discuss it on a quick call. Book a call here https://lnkd.in/gJxDS5qK

I come from a science background. No MBA. No commerce degree. No finance internship. Everyone told me equity research was not for people like me. I stopped listening and started building. I picked a company. Built an investment thesis. Wrote an initiating coverage report. Posted it on LinkedIn. Someone saw it. Referred me. I landed my first equity research role. No certificate did that for me. A project did. If you are a fresher trying to break into equity research, stop waiting to feel ready. Start building proof of work. I made a free PDF with 3 projects that will get you noticed: Comment GUIDE and I will send you the free PDF. If you want notes, guidance, or mentorship in finance: 👉 https://lnkd.in/d_meKMHB #linkedin #finance #investmentbanking

🚨 Most CA Students Lose Opportunities Before the Interview Even Starts. Not because they lack knowledge. But because: ❌ Their resume doesn't stand out ❌ They don't know how to approach professionals ❌ They send generic referral requests ❌ They never follow up properly When I started my Articleship hunt, I realized that communication matters just as much as technical knowledge. That's why I created a CA Articleship Communication Guide covering: ✅ ATS-Friendly Resume Tips ✅ Cover Letter Templates ✅ Vacancy Enquiry Messages ✅ Referral Request Templates ✅ Follow-Up Message Formats ✅ Do's & Don'ts for Professional Communication These are the exact templates that can help CA students approach firms more confidently and professionally. 📩 Comment "GUIDE" and I'll share it with you. Day 10/30 done... #CAStudents #Articleship #CAIntermediate #CharteredAccountant #ArticleshipHunt #ResumeTips #CareerGrowth #LinkedInTips #Valuation #Audit #Taxation #FinanceCareers

As a CA aspirant, I had no idea what FP&A even was. I started my career in Audit. And honestly? I didn't enjoy it much. But I'm grateful for that boredom, because it pushed me to look up, reflect, and ask myself what I actually wanted to do. LinkedIn is where I first came across FP&A. And somewhere along the way, I took a leap and enrolled in Asif Masani's course. Today, I genuinely enjoy what I do — → the number crunching → the storytelling behind the numbers → and I'm excited to see how AI will reshape this space. Some risks don't feel like risks later. They feel like the moment you finally started heading somewhere that fits. So if you're sitting in a role that doesn't excite you, and wondering whether FP&A could be for you - I've documented everything I wish I had known earlier. A complete guide on: • What FP&A actually is • What you'll do day to day • The career ladder • Who's hiring in India • Skills & certifications that matter • How to break in Comment "guide" below and I'll DM it to you. 📘 #fpna #ca #cma #fpa

In 2019, I was working 70 hours a week. Two companies. 250+ people. Always "busy." Rarely productive. Today I run 2 companies and a 300+ person team in 45 hours a week. Nothing about me changed. The system did. ↓ For the last 16 years, I've been collecting what works and what doesn't. Weekly 1:1 templates that cut attrition 31%. The 3-3-3 calendar rule that killed my burnout. The "one name, no committees" ownership matrix. The 15-minute SOP method that replaced 3-day documentation sprints. The 30-day rollout plan so none of it breaks your team. I finally wrote it all down. One PDF. Zero fluff. All templates you can copy-paste tomorrow. ↓ It's called: THE PRODUCTIVITY PLAYBOOK — CEO + Team Edition. Inside: ✅ The CEO Operating System (calendar, decisions, meetings) ✅ The Team Operating System (1:1s, async, ownership, SOPs) ✅ The exact 7-tool stack I use every day ✅ A 30-day rollout plan so you don't break your team ✅ Copy-paste templates for everything Built from 16 years of mistakes in Surat, not from a consulting deck. ↓ Want it? 1. Comment "PLAYBOOK" below 2. Follow me (so I can DM you — LinkedIn rule) 3. I'll send the PDF straight to your inbox No email capture. No funnel. No "book a call." Just the playbook. Because if you're building an Indian SME, nobody is writing this stuff for you. ↓ One ask: if it helps, share it with one founder who needs it. Systems > Hustle. ... #BusinessSystems #Productivity #FounderLife #IndianStartups #SMEGrowth

If you’re a brand manager, creative lead, graphic designer, media buyer, or running an agency… this might save you HOURS every single week. I’ve built a Weavy Workflow that lets you take one product image… and instantly generate unlimited ad creatives, variations, themes, and formats in a fraction of the time. No more creative chaos. No more delays. No more waiting for designers, editors, or freelancers. Just drop your product image → choose a style → export the ads. Done. This workflow is built for: ✔️ Brand managers who need fast campaign variations ✔️ Agencies juggling 20–50 clients ✔️ Media buyers tired of creative fatigue ✔️ Graphic designers who want to scale output without burning out ✔️ Founders who want high-quality ads without high budgets And yes , the results are platform-ready: Facebook Ads, Instagram, Amazon, D2C creatives, static banners, thumbnails, hero images… all generated within minutes. This is NOT a tool. It’s a system that finally solves the biggest bottleneck in ad production: time + consistency + quality. If you want access to the full workflow — Comment “workflow” and I’ll send it to your DMs. (Just make sure we’re connected.) Let’s end creative delays once and for all. ps: The Entire Film Was Made Using Nanobanana pro & New Kling 2.6 inside Higgsfield AI . #nanobananapro #klingai #advertising #d2cmarketers #metaads #aiads

I built a system that can surface 500+ off-market targets every month AND organize them into a usable sourcing pipeline. If you want the system, comment 500 and I'll send it over. The current market is huge. But the average PE firm sees just 18.4% of the deal flow in its target market. So we built a Claude Code sourcing system designed to take a PE firm's mandate and continuously search for companies that match it. Industry. Geography. Revenue. Ownership. Company fit. Instead of starting with the companies already circulating through everyone's inbox, it builds the target universe from the mandate outward. The system can surface 500+ potential off-market targets every month and organize them into a usable sourcing pipeline. Change the buy box and run it again. Comment 500 and send a Connect.

50 Claude agents now run our paid ads We built one for every job in the account 👇 Media buying is fifty small jobs done weekly Most of them are checklists, not judgment So we turned every checklist into an agent 1/ Search terms miner Reads the query report, drafts the negative list 2/ Budget pacing agent Projects end-of-month spend, flags blowouts early 3/ Creative fatigue agent Watches frequency and CTR, calls dying ads 4/ Ad library spy agent Pulls competitor creative with the angles worth stealing 5/ CAPI health agent Checks signal quality before it costs you delivery 6/ Weekly report agent Writes the Monday summary, which pages moved and why The other 44 cover audits, bids, feeds, lead quality Every agent is a setup guide, not a loose prompt Open Claude, paste the role, connect your ad account First live run on one account last week 41 wasted keywords paused, $1,700 in junk spend caught Setup to first finding took 20 minutes The full library is free, link in the first comment

A Finance Playbook for GPT6 ASTRA And it runs Entire Finance Function End-to-End 👇 20+ specialized Claude agents mapped across the five stages of the finance operating cycle The backbone: Plan. Operate. Close. Decide. Communicate. 1. Plan: four agents that turn ambition into a financial roadmap Budget Architect, Driver-Based Forecaster, Scenario Modeler, Capital Allocation 2. Operate: four agents that keep the finance engine moving Cash Flow Manager, Working Capital Optimizer, Spend Controller, Revenue and Margin Monitor. 3. Close: four agents that protect the integrity of the numbers Close Coordinator, Reconciliation Reviewer, Variance Investigator, Controls and Compliance Monitor. 4. Decide: four agents that turn financial data into better choices FP&A Analyst, Profitability Mapper, Pricing Strategist, Business Case Builder. Claude identifies where value is created, evaluates trade-offs, tests the economics, and gives decision-makers a clear recommendation. 5. Communicate: four agents that make the numbers land Management Report Writer, CFO Narrative Builder, Board Deck Packager, Executive Q&A Simulator. Claude turns financial results into an answer-first story, prepares decision-ready materials, and helps finance leaders handle the toughest questions. We are sharing the playbook for free 👇 Comment GPT6 and DM me with GPT6 and I will send it to you.

Making a Business Case for 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬? You should factor in these 𝐜𝐨𝐬𝐭 𝐚𝐬𝐬𝐮𝐦𝐩𝐭𝐢𝐨𝐧𝐬. Consultants, Business Leaders and Founders need to build 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐜𝐚𝐬𝐞 for AI Agent projects 𝐛𝐞𝐟𝐨𝐫𝐞 𝐬𝐢𝐠𝐧-𝐨𝐟𝐟. Most default to pricing it like any other software project: infra, hosting, headcount. But there are a few cost drivers specific to AI Agents that must be considered. 𝐇𝐞𝐫𝐞'𝐬 𝐰𝐡𝐚𝐭 𝐈'𝐝 𝐚𝐜𝐭𝐮𝐚𝐥𝐥𝐲 𝐟𝐚𝐜𝐭𝐨𝐫 𝐢𝐧 (including references): 𝟏. 𝐓𝐨𝐤𝐞𝐧 𝐂𝐨𝐬𝐭𝐬 Every model prices input and output tokens differently, and an agent consumes tokens on every single turn it takes. This is your smallest unit of cost. → Bench LM (calculator across workload types) → OpenRouter (pricing across 300+ models side by side) → Artificial Analysis (compares cost against quality, not price alone) 𝟐. 𝐂𝐚𝐥𝐥𝐬 𝐏𝐞𝐫 𝐓𝐚𝐬𝐤 (Call Multiplier) An agent doesn't answer in one shot. It reasons, calls a tool, checks the result, and often reasons again before it's done. So one "task" for the business can actually mean 5-10 model calls. Your cost estimate needs to reflect that multiplier. → Your own pilot logs → Anthropic and OpenAI's published agent cost reference breakdowns → Langfuse and LangSmith blogs on real production call patterns 𝟑. 𝐌𝐨𝐝𝐞𝐥 𝐒𝐞𝐥𝐞𝐜𝐭𝐢𝐨𝐧 Not every step in an agent's workflow needs your most capable (and most expensive) model. Simple steps like classification or formatting can run on cheap models. These sources will help choose the right models. → Artificial Analysis (quality per dollar rankings) → LMSYS Chatbot Arena (quality signal across models) → Vendor model cards (task specific benchmarks) 𝟒. 𝐔𝐬𝐚𝐠𝐞 𝐓𝐫𝐚𝐜𝐤𝐢𝐧𝐠 Agent costs are usage based, so your bill depends entirely on how often the agent runs and how it behaves in production. So factor in tracking token consumption, latency, and failure rate per task. → Langfuse → Helicone → LangSmith (most have free tiers) A fe

R.I.P. LinkedIn Algorithm GPT-6 Astra + Fable 5.1 just broke it Most founders I talk to are still: → Writing posts for an audience that'll never buy from them → Guessing which awareness stage their reader is in → Rewriting the same hook 9 times → Posting anyway and pulling 125 impressions You do this for a month or two And decide LinkedIn doesn't work. But here's what most people miss: LinkedIn is the only platform where people scroll in business mode every morning. CEOs. Founders. Decision-makers. All in one feed. Reachable at the cost of $0. The platform isn't broken. Your content system is. I spent the last week implementing our LinkedIn Content Funnel strategies, SOP's, internal secrets, real client posts that booked 25-35 qualified calls last month per profile. What I got was this system. 2 of the best AI models with 1 joint job: Predictable client acquisition from LinkedIn content. Here's how I split them: → Astra 6 does the research. Pulls the market, the competitors, the language your prospects actually use using Reddit/Quora, LinkedIn, X & relevant industry news → Astra 6 maps the ICP language. Who actually has budget, what they're stuck on, what they're already reading. → Astra 6 sorts 30 days of angles by awareness stage Without this - ANYTHING you do is worthless. THIS is the funnel → Fable 5.1 writes the drafts. Hooks, structure, copy that sounds likke me and not like an AI. → Fable 5.1 restructures the profile. (MOST IMPORTANT) Headline, about section, banner, profile pic - the page they land on after the post. → Fable 5.1 handles the conversion posts. The ones that book calls, have real dwell time and valuable comments. Not the ones that get likes Research and targeting on one side. Voice and demand generation on the other. We use this at our own agency to help B2B businesses add $10k-$50k/mo in 90 days. 12 hours of weekly content work. Down to 45 minutes👇

Le meilleur fichier de prospection au monde est désormais gratuit. Le problème n'a jamais été l'outil. C'est la logique. Un fichier de 2 000 noms, c'est 2 000 inconnus. Personne n'a rien demandé. Pendant ce temps, chaque jour, des gens likent, commentent et posent des questions sur ton sujet. Ils viennent littéralement de dire ce qui les intéresse. Un fichier te donne un titre de poste. Un commentaire te donne une intention. Alors on a inversé la logique. Tu donnes l'URL de ton site. L'outil lit ton offre, comprend ta cible, puis repère qui réagit à ton sujet sur LinkedIn. Il ne garde que les profils proches de tes meilleurs clients. Et il leur écrit depuis ton compte, à partir de ce qu'ils viennent de publier. Résultat chez nos clients : → 40 à 50 % d'invitations acceptées (moyenne du marché : 15-20 %) → ~330 prospects qualifiés par mois → En écrivant moins Ce que tu reçois gratuitement : → L'analyse complète de ton site : ton offre, ta cible, ton angle → Les signaux d'intention détectés chaque jour sur ton marché Zéro fichier. Zéro persona. Juste ton URL. Accès gratuit ci-dessous 👇

I just built a 7-person LinkedIn content team. Total payroll: $0. It runs everything: researches your ICP, learns your exact voice, writes your hooks, drafts your lead magnet posts, plans your content calendar, and turns commenters into booked calls. All you have to do is approve the posts and show up to the sales calls. It's built on the same system behind $10M+ in client sales from organic content alone. And I'm giving it away free. I've put versions of it in the hands of: - Founders who know LinkedIn should be their #1 lead source but hate staring at a blank page - Coaches and consultants getting likes on every post while their calendar stays empty - Agency owners who want inbound leads without spending 2 hours a day writing - Anyone whose AI content sounds like AI The result: content that goes out every week, DMs full of qualified leads, and a personal brand that sells you before the call. Here's what's inside: → The full 7-person team. ICP Researcher, Voice Trainer, Hook Writer, Lead Magnet Writer, Authority Post Writer, Comment-to-Call Converter, Content Strategist. → Install each one in under 2 minutes. Copy-paste files into Claude. No code, no setup. → The Voice Trainer that studies your old posts and writes like you on your best day. Zero AI slop. → Hook frameworks from 6 years of ghostwriting and 10,000+ pieces of content. Your hook decides 90% of whether your post gets read. → The lead magnet post structure that turns one free resource into hundreds of comments and warm leads. → The Comment-to-Call system. Follow-up DMs drafted for you, so commenters become booked calls. → The human checkpoint. Nothing posts without your approval. That's why this builds real authority while 99% of AI accounts get ignored. Want the full team? 1. Like this post 2. Comment "TEAM" I'll send it over. (Must be connected so I can DM you)

We created the Human-in-the-Loop Design Guide to Claude 2026. A practical guide for designers, creative leads, and product teams who want to use Claude as a real design operating system, not just a faster mockup tool. Because in 2026, design is changing fast. The best designers will not be the ones producing the most screens. They will be the ones who know exactly which decisions AI never gets to make. Design is no longer just about managing: → layout variations → mood boards and references → prototype iterations → asset generation → design system consistency The real question is: How do you use Claude to design faster, without designing the same thing as everyone else? Not to replace design judgment. But to sharpen your point of view, protect what makes your work yours, automate the repetitive parts, and decide, case by case, what a human always reviews. Inside the guide, We cover: → why "AI-curious" is not a strategy → how AI changed the skill baseline for designers → the framework: automate, protect, decide → why taste is moving away from AI, not toward it → why the job is moving into the real product, not the deck → the one skill that matters now, and it isn't prompting → the two wrong answers most teams give → a full human-in-the-loop decision matrix by project stage → how to run this framework with your own team → how to wire it directly into Claude with CLAUDE.md, Skills, and Agents → ready-to-use prompts, templates, and checklists The key point: Designers will not be replaced by AI. They will be defined by the decisions they refuse to hand off. And the teams who set that rule on purpose, before they move fast, will have a serious advantage. We documented the full framework in a complete, clear, and actionable guide. We are sharing the full guide. Comment "loop" or DM me and I'll send it over.

Astra can analyze your entire LI network. And identify your best prospects… and contact them… without one single API key. Here’s the exact workflow: 1/ Define your ideal customer ^ give Astra your audience + offer + customer proof + any and all problems you solve 2/ analyze your LinkedIn network ^ it will scan relevant profiles and identify people who match your ICP based on their role/company, industry/visible activity 3/ find the warmest prospects ^ each profile is scored using real buying signals: • Fit with your offer • Recent activity • Relevant posts and comments • Shared connections • A credible reason to reach out ^^ weak matches are removed, high potential prospects move forward 4/ generate a personalized approach ^ for every qualified prospect, Astra identifies a relevant conversation starter and prepares a message based on their actual profile and activity No generic pitch. No “Hi {{first_name}}.” (this doesn’t build trust…) No hours wasted researching profiles 1 by 1. You get a qualified list of people to contact- the reason each one matters (relevancy wins) And, a personalized message ready to send - four steps. - one prompt - way more relevant conversations Free access for y’all below. 👇🏼

Outbound just moved into the terminal. The dashboard era is ending. Eight outbound skills plus a terminal is the research hour you no longer have to run. Ours are below, free. We run our own pipeline out of Claude Code: the list, the notes, the inbox. Outbound was one of the last pieces still stuck in a browser tab. Not anymore. You can now point Claude at your own LinkedIn account. Search the people, pull the signals, draft the notes, work the replies, without ever opening a dashboard. Your prospecting stops living in a tab and moves to where your agent already works. You tell it what you need, and it runs the whole play. The only question left is what you actually run in there. We have spent a lot of campaigns answering that. These are the skills we built, now open and free: → ICP Filter, cuts a raw list down to people who can actually sign → Signal Watcher, the eight things that mean someone is in motion this week → Connection Note Writer, under 30 words, no pitch, no link, no calendar → Reply Drafter, writes off the full thread and waits for your approval → Competitor Comment Miner, turns their comment section into your queue → Inbox Triage, sorts the overnight replies by intent before you read them → Invite Hygiene, withdraws anything older than 7 days so the accept rate never sags → Friday Question, who replied positive this week and which source did they come from Built off a few hundred campaigns and a much longer list of notes that did not work.

You installed Claude Code and stopped there. Here's one repo with 28 skills (actually) worth adding: These run research, writing, outreach, and replies, all from start to finish. research skills that map who to target and what actually triggers them to buy writing skills that build a fresh opener per prospect instead of a name-swapped template execution skills that launch the sequence and read what comes back fixed the profile first, made it worth clicking through to before a single message went out then just wired it to actually run: → opener-writer sets one line per prospect, sequence-builder sends the connection request and the follow-ups after → commenter-finder pulls in everyone who engaged with a post, so pull and push feed the same list → before a single post went out, ran the voice tool so it sounded like the founder, not like every other AI post on the feed → 2 authority posts a week from the content pillars the research actually surfaced, not generic industry takes Now the account was showing up in front of its own ICP, on the posts and in the DMs, at the same time. Everything's built into the repo. this is what you'll be getting 👇 → the CLAUDE.md router, one file that reads your request and picks the right skill → 28 skill files across research, writing, execution, content, and reply handling → the connection file, clone it and the tools reconnect on their own → the setup doc, one time, and it's running Trying to build your own outbound engine on Claude Code? I think you'll need this :)

The biggest creative breakthrough since Photoshop just dropped. Most teams will miss it. Don't be most teams. I just turned ONE product photo into 47 campaign-ready variations. In 12 minutes. Across 3 languages. (Yes, this image was created with Nano Banana Pro 👆) Yes, I am freaked out by how realistic it is. This isn't about replacing creativity. It's about AMPLIFYING it. What's Been Absolutely Killing Creative Teams: ✗ Waiting weeks for simple variations (while stress-eating snacks at your desk) ✗ Localization requiring entire new shoots (and your soul) ✗ Minor edits needing full production cycles (because apparently changing one word requires summoning the entire team) What Nano Banana Pro Actually Unlocks: ✓ Upload 14 reference images for perfect brand consistency (finally) ✓ 4K resolution for print and digital (no more "can we use this?" panic) ✓ Sharp, accurate text in ANY language (yes, even the tricky ones) ✓ Real-time data integration for infographics (live numbers, not last quarter's lies) ✓ Maintain 5 character identities across campaigns (your mascot stays consistent) Here's what changes EVERYTHING: Photographers can now deliver 500 variations from one shoot. Designers can iterate concepts in real-time with clients. Marketing teams can A/B test at unprecedented scale. Ecommerce brands can localize globally in minutes. I have a full Notion board with the full guide. Let me know in the comments if you want it and I will send you a link.

ROAS is the biggest lie in DTC. I've told this to 200+ brand founders. Most of them didn't believe me. Until we showed them the real numbers. A brand celebrating a 2.0 ROAS that's actually bleeding cash on every order. A brand sitting at 3.5 ROAS thinking they've hit their ceiling, when they could scale all the way down to 2.2 and still be profitable. The difference? One knows their unit economics. The other is trusting a dashboard. This is the exact Gross Profit Forecaster we use internally at Linear to calculate the real numbers for every client we onboard. Inside you'll get: ✅ Breakeven CPA calculator ✅ Breakeven ROAS calculator ✅ Gross margin per order analysis ✅ Unit economics breakdown (AOV, COGS, shipping, returns, etc.) ✅ Gross profit forecaster over time This tool has saved our clients six figures in wasted ad spend. And it takes less than 5 minutes to fill in. One of my clients told me I should be charging $500+ for this. But today I'm feeling nice, so you can have it for 100% free. To get access, all you need to do is: 1. Connect with me Ciaran Finn 2. Comment '𝗣𝗥𝗢𝗙𝗜𝗧' below And I'll send the Gross Profit Forecaster straight over

LinkedIn agencies just got AUTOMATED with official apis. Clauce replaced them all: Get it, free. 👇🏾 ( THIS IS THE SYSTEM – too many comments, no need to comment anymore: hope it helps: https://lnkd.in/gttpMtZB ) Before this, you had 2 terrible options: → Spend 2 hours daily writing posts manually → Or automate everything with ChatGPT And AI for content? It was terrible. Yes, it WAS. Because with Claude's latest models, you can now combine: ☑ Content at scale ☑ Deep personalization But here's where it gets CRAZY: Claude runs the entire content engine for you. → It fetches your last 100 posts and builds a 3,000-word voice profile in 60 seconds → It scans Reddit and X daily for what your ICP actually wants to read → It generates 10 scroll-stopping hooks per post trained on 100M+ viral impressions → It creates viral infographics designed for maximum engagement → It writes full posts that sound exactly like you with 3 QA rounds - zero AI slop → It extracts your hidden stories through 1-1 podcast-style interviews → It schedules + gets analytics of 1+ year via LinkedIn's official API → It learns what performs and updates your preferences after every post All in your exact tone and voice. All on its OWN. Like a top 1% agency working 24/7 for a fraction of the cost. Get free link. 👇🏾

AI AGENCY vs AI CONSULTANT (most people have this the wrong way round). Two years ago I was running the agency version. £50k a month in six months. On paper we were flying. Then I took my family away for two weeks and spent it in the hotel room. Pyjamas at 2pm, hair in pigtails, no makeup, putting out fires while my husband was in the pool with the kids. I could hear them from the bed. Came home and shut it down. Turned away £50k a month, because it wasn't a business. It was a job I'd built for myself, and every new client made the job bigger, not better. Here's the bit almost everyone gets wrong, and I see it every week when I look inside someone's setup. They charge for the doing and give the thinking away free. Every discovery call, every "here's what I'd do if I were you", all of it a freebie designed to sell a build. Which is mad. The thinking was always the valuable half. The building is the bit software now does for $20 a month. Agency: you build it, you get paid at the end, you're capped by the hours you can stay awake. More clients means more delivery, more hires, more "can you just quickly". Consulting: you sit with the founder, find where the money is leaking, get paid up front. Two, five, ten grand before anything is built. Five to seven days, defined start and end. Someone else builds it and you take a cut, or their team builds it and you get paid monthly to steer. Agencies get asked "can you build me another funnel". Consultants get asked "what should we be doing with AI, and in what order". Nobody is asking the first one anymore. I gave up £50k a month to stop being the person who builds. Same brain, same experience, completely different business. And now I choose whether I take the ongoing work. Me, not them. If you're still building everything yourself, you're playing a game the tools get better at every single week. Comment CONSULTANT and I'll send you the whole model. Three hours, free, nothing held back.

I can share a new 400-grant list for VC funds & startups in 70+ countries: – 36 fund/LP programs for VC managers  – 100 US, 127 Europe/UK, 48 Asia-Pacific, 21 Middle East, 20 Canada, 18 Africa, 15 LatAm, 15 global – From $2.5K micro-grants to $100M+ – Focus areas: AI, DeepTech, FinTech, HealthTech, CleanTech, EdTech, DefenceTech, etc. – Eligibility criteria – Application info & direct links Let me know in the comments if you’d like free access Bonus for supporters: if you help more startup founders by reposting this – in 5 days I'll pick a random book winner among reposters. You choose from The Book of Elon, Unicorn Focus & The Venture Mindset. I'll DM you and ship it anywhere in the world.

No AI theory. No endless slides. Our next AI in Finance workshop is coming up on 16th September. These sessions are completely free and open to CFOs, FDs and finance professionals. And this time we’re focusing on an area I think has huge potential for finance teams: -----Process Control & Operations----- We’ve spent a lot of time in previous sessions looking at forecasting, FP&A and reporting. This one is about the engine room of finance...how tools like ChatGPT and Claude can help you improve processes, strengthen controls and take some of the manual work out of running a finance function. As always, Peter Beard ACA BFP will be demonstrating everything live, with practical examples you can actually take back into your team. Just practical ways finance teams can start using these tools today. And everyone who joins gets access to the recording, slides and prompts afterwards. 📅 Wednesday 16th September | 1pm | MS Teams If you'd like to join us, comment below or drop me a message and I'll send you the link.

50 Claude agents now run our paid ads We built one for every job in the account 👇 Media buying is fifty small jobs done weekly Most of them are checklists, not judgment So we turned every checklist into an agent 1/ Search terms miner Reads the query report, drafts the negative list 2/ Budget pacing agent Projects end-of-month spend, flags blowouts early 3/ Creative fatigue agent Watches frequency and CTR, calls dying ads 4/ Ad library spy agent Pulls competitor creative with the angles worth stealing 5/ CAPI health agent Checks signal quality before it costs you delivery 6/ Weekly report agent Writes the Monday summary, which pages moved and why The other 44 cover audits, bids, feeds, lead quality Every agent is a setup guide, not a loose prompt Open Claude, paste the role, connect your ad account First live run on one account last week 41 wasted keywords paused, $1,700 in junk spend caught Setup to first finding took 20 minutes The full library is free, link in the first comment

This SEO Report will cost you minimum $12,000 It's 21 pages of THICK Analysis. Here is how to do it for FREE. It normally takes traditional agencies 4 weeks. I just ran it in 15 minutes. One AI Tool. One complex prompt. Traditional SEO agencies charge premium rates for comprehensive audits. What you typically get: - 2-3 week turnaround time - Generic templated reports - Surface-level recommendations - No AI answer-engine analysis - Limited technical depth I just generated a COMPLETE enterprise-level audit that includes: ✓ Technical SEO sweep with Core Web Vitals metrics ✓ On-page content analysis with EEAT scoring (0-5 scale) ✓ Off-page authority assessment and toxic domain identification ✓ Answer-Engine readiness across Perplexity, Bing Copilot, and ChatGPT ✓ Schema markup recommendations for FAQPage, Speakable, HowTo ✓ Impact/Effort/Confidence scoring matrix ✓ 30/90/180-day strategic roadmap The breakthrough: AI can now analyze your ENTIRE site architecture, content quality, and answer-engine visibility in minutes. The AI audit includes deliverables worth thousands: ✓ PDF executive report with actionable insights ✓ Google Sheets issue tracker with priority filtering ✓ Implementation roadmap with realistic timelines While your competitors are still paying agencies for outdated SEO analysis, you could be optimizing for the AI-powered search future. I have a full Notion board with the full guide. Let me know in the comments if you want it and I will send you a link.

Hiring these 10 marketing roles runs about $100k a month in salaries. Now they're a Claude subscription. Fable 5 was so strong Anthropic kept it on tight limits. This week they lifted them - it's on the subscription now, for everyone. Before, those limits left room for dev work and not much else. Now my marketing agents run on it full-time. So I turned the whole setup into 10 roles anyone can install: 1) seo manager 2) market intelligence manager 3) creative production manager 4) digital marketing manager 5) crm manager 6) smm manager 7) product marketing manager 8) growth manager 9) marketing analytics manager 10) business development manager Install is two moves: drop the agent.md into Claude Code, or paste it into a Project. On first run each agent interviews you - brand voice, past winners, a data export from wherever you already work (Google, AppsFlyer or Adjust raw data) - and builds its own knowledge base. The more it learns, the less you're prompting a tool and the more you're briefing a teammate. "AGENTS" in the comments gets all ten. P.S. LinkedIn only lets me DM connections, so connect first.

GPT-Image-2 + Claude Code just replaced your entire creative team. DTC brands spend $192K/year on this: Traditional creative team breakdown: Creative Strategist: → $120K-$150K salary + benefits → Develops messaging angles → Writes creative briefs → 10-15 campaigns per month Graphic Designer: → $60K-$90K salary + benefits → Executes static ads → 20-30 ads per month → 3-5 day turnaround per batch Total: $180K-$240K annually The new stack: Claude Code (strategy layer): → Analyzes product positioning → Generates 9-12 messaging angles → Creates psychology-based briefs → Cost: $240-$600/year GPT-Image-2 (execution layer): → Generates Meta-ready ads → Perfect text rendering (95%+ accuracy) → 9 variations in 49 seconds → Cost: $240-$2,400/year Combined cost: $480-$3,000/year Output comparison: Traditional team: → 20-30 ads per month → 3-5 days per batch → Limited testing velocity AI stack: → 200+ ads per month → Unlimited variations This isn't about replacing creativity. It's about replacing repetitive production work. Your team focuses on strategy. AI handles execution. DTC founders running Meta ads:  Connect with me Comment "TEAM" below. I'll send you the complete setup breakdown. PS: Best fit if you're spending $5K+/month on ads.

Five AppsFlyer dashboards now live inside my Claude account! Live. Pulled straight from my AppsFlyer account, redrawn the moment I ask. And they don't wait for me to open anything. The weekly summary lands in Slack. The alert hits my inbox when an event breaks overnight. What's running: → Campaign performance - what's working, what's burning budget → Cohorts and retention - D7, D30, where retention starts sliding → Automated reporting - the recurring summary, on my schedule, to Slack or email → Events alarms - yesterday against the 30-day baseline, a ping when an event breaks out of its normal range Four of those are AppsFlyer's own ready-made agents. Grab the zip and you're running - no BI ticket, no dashboard to build. And I missed one more layer, so I did it myself. The basic four tell me what moved. Not why. That part was still me at 9am, pulling channel splits by hand. So I built Performance Diagnostics. ROAS drops, it breaks the move down and separates two things that look identical on a dashboard: money shifting to weaker sources, versus a source that actually got worse. One is a mix problem. The other is a quality problem. Different fixes. Then it ranks the likely causes and tells me what to pull next. No orders - just a second angle, which matters, because we all stop seeing the accounts we stare at daily. Four dashboards to show you what happened. One to explain it. Want the setup? Comment PERFORMANCE and I'll send it - AppsFlyer's original four plus mine. Connect first so I can reach you.

BYE-BYE LinkedIn agencies... Claude now writes 30 days of content on AUTOPILOT. Get the system. ( THIS IS THE SYSTEM – too many comments, no need to comment anymore: hope it helps: https://lnkd.in/gttpMtZB ) For the last 2 years, AI LinkedIn content has been a complete disaster. Everyone tried it. But no one got results. Until NOW. This Claude system handles it all: not just one post. Not just the hook. The WHOLE thing: → Persona agent fetches your last 100 posts, your profile bio and past content, then builds a detailed 3,000-word voice profile → Research agent scans Reddit, X and Quora for your ICP's exact questions, then curates the top pain points into your personal knowledge base → Hook agent analyzes scroll-stopping patterns from 100M+ viral impressions, then generates 10 hooks ranked for dwell time → Trends agent gives you viral linkedin posts in your niche every week → Writer agent pulls from your voice profile + live research context in real time - so every post sounds like you wrote it at your best → Interview agent asks you targeted questions 1-1 podcast style, then mines your answers for stories your audience has never heard → Scheduler + analytics agent queues 90 days of posts and publishes via official LinkedIn APIs - no third-party extensions → Self-Learning agent logs what performs, updates your voice fingerprint after every post, gets sharper over time → Infographics agents creates beautiful viral infographics for all your linkedin posts It's like having a top 1% LinkedIn agency working 24/7 on your LinkedIn. Get it here. 👇🏾

Steal this content system that generated for us $153K MRR in 87 days.   Mai-Lan Khong, our Content Lead, put the whole play on one cheat sheet. It's below👇   Buyers already have 2 or 3 names in their head before they go looking. Not one purchase I've made as a business owner in 3 years started with a cold call. Content is how you become one of the names.   Now the machines are reading it too. We write every post so ChatGPT and Perplexity can quote it back when someone asks for a B2B GTM agency. Search and AI answers went from 16.5% of our traffic to 33.3% in three months, and $506K in contract value in four.   Everyone is about to have the same tools. In 12 months reach will be the cheapest thing you buy. Trust is what stays scarce, and content is where trust gets built.   What runs inside it:   𝗙𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻 (built once per person, read on every run)   → Voice profile: a 25-question interactive conversation Captures how someone talks before AI touches it. → ICP doc: 3 buyer tiers, each mapped to the language they use to search. → 3 to 5 content pillars every post traces back to.   𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 (weekly, 7 workers in parallel)   → Apify for what's performing on LinkedIn right now → Reddit for how buyers describe their pain → YouTube for frameworks worth adapting → X for live debates → Open web for fresh reports and launches, dated sources only → Fireflies.ai transcripts from client calls, the highest-signal source → Our own post archive for what's overdue a refresh   𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗹𝗶𝗻𝗲   → Hook generator: 59 templates, 20+ variations per idea, top 3 to 5 ranked → Copy developer: full draft in the documented voice → Post grader: 5 dimensions scored out of 50. Below 38 goes back with a fix per failing dimension. → Visuals built in-house from the brand spec via Claude, images through Google Gemini and OpenAI   AI drafts, human sharpens. And voice profile is the guardrail.   𝗗𝗲𝗹𝗶𝘃𝗲𝗿   → Approved posts move to ClickUp with copy, visual and sc

Here's the claude off-market sourcing system for real estate investors. runs on public records. The image is one parcel, its public reads pinned. every signal type on it is real: - a long hold on a low basis - the owner mails from another state - debt maturing, recorded at the county - tax delinquent on the county roll - deferred maintenance, visible on the parcel owners who sell off-market never announce it. their records do. this system reads them across a whole county and hands you one ranked list of owners worth calling, evidence attached. the pack has the full method: the prompts, the templates, the step-by-step guide to run it in claude. comment 'SOURCING' and make sure we're connected, i'll send you the link. repost this and i'll send you the outreach extension too, the letter, email and call script per owner. Lucas

I took 23,699 posts from the biggest linkedin creators and fed it to Claude. Result: 41K+ views in 1 week: Get the system, here. 👇🏾 ( THIS IS THE SYSTEM – too many comments, no need to comment anymore: hope it helps: https://lnkd.in/gyEfYqXF ) Last month, I decided to “finally” figure it out: What is actually going viral on LinkedIn in 2026? I decided to identify patterns in some of the fastest growing LinkedIn creators with viral outliers (10X engagement spike v/s normal posts) and fed it to the new Opus 5 high with 1M+ context window to find patterns…. Then I turned these into 10 skills for the hottest linkedin post types: • build in public. • lead magnets. • op eds / thought leadership. • announcements. +++ more. The results blew my mind. 41K+ views in the last 1 week. I've now packaged my entire system into a 1-1 claude Opus linkedin content chatbot system.... Here's what's inside: → 7 agents that run your LinkedIn content on autopilot (persona, research, hook, writer, interviewer, scheduler, analytics, and more) → knowledge base agents to search over articles, youtube videos, notes, meetings → 2-link setup (LinkedIn + website) to extract your actual voice → 1-on-1 podcast-style question to pull out your hidden stories → Real-time Reddit and X scans for ICP pain points → context engine agent that adapts my preferences in real time → 90-day content agent so you never ask "what do I post today?" I now want more people to try the beta.... Get it here, free link. 👇🏾

I'm sharing the Claude Skill Tree system behind 600k LinkedIn views in 90 days (STEAL IT): Get it here. 👇🏾 ( THIS IS THE SYSTEM – too many comments, no need to comment anymore: hope it helps: https://lnkd.in/gttpMtZB ) Let's be honest.... One Claude skill won't help you grow on LinkedIn. But eight of them, stacked in the right order, run most of the LinkedIn content system founders pay $3,000/month for. So I built them. Eight skills that take you from "I have no idea what to post" to "90 days of content scheduled and live." Here's what's inside: → Persona Builder — extracts exactly how you think, write, and speak from your last 100 posts, website, linkedin → Research Engine — finds what your ICP is actually debating on Reddit and X this week → Hook Engineer — opening lines built for dwell time (trained on 100M+ views) → Post Writer — drafts in your exact tone, runs 3 QA rounds, zero AI slop (trained on 100M+ views) → Viral post tracker — helps track and surface viral posts going live in your niche -> 1 click create template from them → Infographics Builder — pick from 4 styles, auto-adapts to your post and mobile feed → Scheduler + analytics — queues 90 days + fetches analytics via LinkedIn's official API, no manual work → Self-Learning Engine — updates your preferences and context engine after every feedback, gets better Run them in order. Each one feeds the next. By the end you've hand-built a working LinkedIn engine. Get free link, here. 👇🏾

Anthropic released Skills for Claude. Most marketers will use them like fancy prompts. I wired them into an operating system that runs my entire inbound and outbound motion 👇 Here's the difference. A prompt is something you retype every week. A skill is a module Claude already knows. You call it by name, point it at a project, and it runs. Built on Opus 4.8, so it handles the longer, multi step work a real GTM audit actually needs. Here's what's in the system right now: INBOUND modules: → content-ideas, blog-writer, newsletter → repurpose, case-study, landing-page → lead-magnet, webinar-copy, video-script → faq-builder, testimonial OUTBOUND modules: → icp-builder, lead-scorer, list-enricher → cold-email, subject-tester, sequence-builder → linkedin-post, comment-miner, dm-opener → reply-handler, signal-tracker And here's what makes it a system, not a folder of prompts: I call one module, point it at a project, and it runs. Reads the data, does the job, returns the fix. repurpose → one webinar → 12 posts, 3 emails, 1 newsletter. One call. Done. No retyping the prompt. No re-explaining the account. No copy paste from twenty docs. The shift nobody has priced in yet: A prompt works once. A skill works every time, the same way, forever. That's the line between using Claude and building with it. Let me know if you want it!

My Claude LinkedIn content system runs on one sentence now: "Write me a LinkedIn post based on my niche." Get it here. 👇🏾 ( THIS IS THE SYSTEM – too many comments, no need to comment anymore: hope it helps: https://lnkd.in/gyEfYqXF ) That's it. No prompt engineering.... just plain English. 7 agents handle the rest: → Persona agent builds a 3,000-word ai clone from your LinkedIn + website. Two links. That's all it needs. → Research agent scans Reddit, X, and niche news for what your ICP actually cares about right now. → Hook agent crafts scroll-stoppers trained on 100M+ viral views. → Writer agent handles drafts using context engineering & 100M+ view patterns. → Scheduler + analytics agent automates months of content through official LinkedIn APIs. No hacky chrome extensions. → Self-Learning context agent adapts the more you talk to it. → Infographics agent builds beautiful viral infographics for your linkedin posts. The LinkedIn content gets better over time. The result? 200,000+ impressions in 30 days. Get it here. 👇🏾

I paid $1,500/month for a LinkedIn agency. Then these 16 Claude skills fired them. Get system, free. 👇🏾 ( THIS IS THE SYSTEM – too many comments, no need to comment anymore: hope it helps: https://lnkd.in/dVZqjATJ ) The agency was good. But she didn't know my voice. Every draft needed 3 rounds of edits. The content calendar was always a week behind. I wasn't scaling. I was paying someone to keep up. So I spent 112 hours building what replaced her: 1/ voice builder — analyzes your LinkedIn, website, and X. Builds a 3,000-word voice profile Claude reads every session. 2/ research agent — scans Reddit, X, and news daily. Surfaces angles in your ICP's real language, not yours. 3/ hook generator — trained on 5,836 viral hooks across 100M+ impressions. Matches every hook to your voice profile. 4/ content writer — drafts op-eds, lead magnets, announcements, build-in-public posts. Sounds like you, not a template. 5/ viral creator tracker — tracks 40 creators weekly, fetches their last 40 posts, flags what's spiking. 1-click adapt. 6/ infographics builder — turns any idea into a finished infographic. 41+ visual styles, one prompt. 7/ scheduler + analytics — auto-posts + analytics via LinkedIn's official API. No extensions. No manual publishing. Want access? Get free link. 👇🏾

Claude pulls all my post engagements LIVE and i close them in <3 days. Here’s my 5-agent system, access below👇 Raw signal to launch-ready sequence, without opening cold, switching tools, or touching a CSV manually until it's done. this is what the playbook covers: 1/ the monitor agent  pulls every engager from your monitored profiles via GetLeads MCP. filters by ICP on the way out. $0.012 per person, 170+ fields of enrichment included. → output: name, email, seniority, engagement type, exact comment text 2/ the filter agent  scores every row. substantive comment ranks highest, like-only ranks lowest. removes anyone outside company fit or already in pipeline. → output: ranked shortlist, 80% of the noise removed 3/ the writer agent  writes message 1 for every row. comment left? opener quotes it. like only? opener references the post topic. no opener starts with "I." → output: shortlist + message_1 column 4/ the sequencer agent  writes follow-ups 2 and 3. different angle each time. adds a drop_date so nothing chases indefinitely. → output: full table with message_2, message_3, drop_date 5/ the formatter agent  strips it to exactly what your sender needs. standardizes column names. exports clean. → output: one CSV. import, map, launch. 45 copy-paste prompts. Access 👇

We generated $40,000 in the last 4 months using Lead Magnets. So I broke down our step-by-step process for creating them: Lead magnets have become the highest-leverage assets for B2B client acquisition. One lead magnet we made: - added $2,000 in MRR for a B2B SaaS - drove 8 booked demo calls in 24 hours - got 1,750 comments And the formula NEVER changed. Inside this FREE process breakdown, you'll get: → The exact content strategy we've used across 55+ B2B companies → How we convert lead magnet commenters into booked calls → What works on LinkedIn in 2026 → How one post added $2,000 in MRR I've only shared this resource privately till now. Because it's lowkey mega valuable. But.. for the next 2 days you can get our exclusive process fully for free! P.S. - One of our clients used this process to average 4-7 meetings/month in 'the most boring niche on LinkedIn' P.P.S. - repost this for instant access

A pose is what makes people stop scrolling. AI still has no idea what that means. Most fashion workflows nail the face, the product, the fabric. Then the model just stands there. Flat. Forgettable. I found a tool that helps you build the pose system as a flow you can run, not a PDF you read. Drop one photo of your model. The flow builds a character identity sheet (full turnaround, 7 expressions, 5 fabric close-ups), locks the outfit, and returns 40 editorial poses: 11 standard e-com, 20 editorial studio, 9 shot on a Lisbon street. This one wears H&M. Swap the flat-lay and it wears yours. Full breakdown in the slides. Let me know if you want the full prompt flow in the comments and I will send it It’s free, runs on MaxFusion, all 40 prompts inside.

𝗧𝗵𝗲 𝗨𝗹𝘁𝗶𝗺𝗮𝘁𝗲 𝗙𝘂𝗻𝗱𝗿𝗮𝗶𝘀𝗶𝗻𝗴 𝗚𝘂𝗶𝗱𝗲 𝘁𝗼 𝗥𝗮𝗶𝘀𝗲 𝗠𝗶𝗹𝗹𝗶𝗼𝗻𝘀 🔥 I've invested in tens of startups that have raised over $100M together. After years of writing about fundraising on our newsletter, everything useful ended up spread across dozens of editions. So I compilded the full guide and collected every resource behind it in one place. Inside you'll find:   • Investor Update   • +90 Pitch Decks   • Cap table Template   • The Financial Model   • Data Room Template   • The Family Office List   • Safe Dilution Template   • The Angel Investor List   • The AI Unicorn Angel List   • The LP Investor Database   • Valuation Model Template   • The Startup Incubator List   • The Runway and Burn Template   • The Corporate Venture Capital Fund List   • The 300 Most Active Seed VCs Investors   • The KPI and Metrics Dashboard Calculator Comment RAISE and I'll send you the link!

BREAKING: replace your entire LinkedIn workflow using Claude skills. Get it here. 👇🏾 ( THIS IS THE SYSTEM – too many comments, no need to comment anymore: hope it helps: https://lnkd.in/gttpMtZB ) 17 skills system. Every one ready to run in under 5 minutes. Meet the stack: VOICE AND RESEARCH (know exactly what to say and to whom) 1/ /voice-builder → takes your LinkedIn + website, builds a 3,000-word voice profile with tone, cadence, and banned words. 2/ /icp-scanner → scans Reddit and X for your ICP's exact pain points this week. 3/ /trend-hunter → surfaces the top 100+ posts going viral in your niche every week. 4/ /creator-tracker → monitors 40 viral creators weekly, fetches top posts, ready to adapt in 1 click. CREATE (the content that builds authority and drives inbound) 5/ /hook-generator → 10 scroll-stopping hooks per post, trained on 100M+ viral impressions. 6/ /post-writer → drafts full posts using your voice profile and live research, 3 QA rounds, zero AI slop. 7/ /lead-magnet → turns any post idea into a lead magnet that pulls comments and DMs on autopilot. 8/ /announcement → frames launches and milestones so they actually get engagement. 9/ /op-ed → contrarian opinion posts that position you as the authority. 10/ /build-in-public → behind-the-scenes moments turned into high-trust content. VISUALS AND STORIES (stop the scroll and build connection) 11/ /infographic-builder → 4 styles (Cheatsheets, Notebook, Versus, Diagrams), auto-adapts to mobile. 12/ /story-miner → 20 targeted questions 1-1 podcast style, mines stories your audience has never heard. 13/ /repurpose → turns one post into 3 variations without rewriting from scratch. DISTRIBUTE AND OPTIMIZE (compound over time) 14/ /scheduler → queues 90 days via LinkedIn's official API, no manual work. 15/ /qa-checker → 3 rounds of refinement before anything reaches your profile. 16/ /memory-updater → updates your voice fingerprint after every post, gets sharper over time. Want it? Get the sys

I just built a LinkedIn Content Team…👇 (Genuinely shouldn't be giving this away) Most B2B founders on LinkedIn still have the goal to "just post more." The TRUTH is they need sales & revenue, not impressions & likes. That's where the agents come in: One single person can't do all of these jobs at scale. This team takes the job from 4 hours down to 10 minutes. Inside: → Researcher: digs up what your ICP is actually struggling with right now → Voice Specialist: writes each post in your voice, tone & opinions → Copywriter: cuts the fluff, tightens every line, makes it skimmable → Lead Magnet Creator: builds the resource your ICP would buy +BONUS: comments → conversations → booked calls frameworks to get a 30%+ reply rate (you can't automate human speech) Helped generate 6 figures in leads this past month.

Founders & VCs! We ranked 310 corporate and government paid pilot programs (from $25K to $5M) by how many startup pilots each one ran in the last 12 months. Upload this list into your AI to find the top-20 programs that fit your startup. DocSend found investors spent 2.1x as much time on the traction slides of decks that failed to raise. They were looking for revenue and not finding it. Howell (American Economic Review, 2017) looked at 400+ US Department of Energy R&D competitions over 20 years: an early $150k proof-of-concept award roughly doubles the odds a startup later raises VC. What's inside our free database: – 265 corporations and 45 government programs – how many startup pilots each one ran in the last 12 months – what they actually pay: $25k to $5M per pilot – the pilot model: venture client (paid PoC, no equity), challenge → funded PoC, supplier trial → first PO, or SBIR/OTA contract – time from application to first money – stage limit, so you know upfront if pre-seed even qualifies – what to watch out for: Visa doesn't pay you, its issuing banks do. At LVMH you're selling to 75 Maisons. – 28 sectors from AI, energy, finance, defense & healthcare to hospitality, media & professional services – link to apply – a 2nd tab with 17 co-sell programs (AWS, SAP, Salesforce, ServiceNow) 👉 Let me know in the comments if you'd like free access. Bonus for supporters: if you help more startup founders by reposting this – in 72 hours I'll pick a random book winner among reposters. You choose from The Book of Elon, Unicorn Focus & The Venture Mindset. I'll DM you and ship it anywhere in the world. Last post's winner: Søren Haestrup

I've got to apologise because I've had a massive revelation recently that I wanted to share in this video... Something became very obvious to me as I was planning out my "content strategy", which finally broke the camel's back, so to speak, and I realised how stupid I’ve been being. It's not about content strategies and scaling your business. It's about peace, profit, and purpose. I've learned, twice over [very much the hard way] what the most beautiful and elegant model of building a coaching or consulting business is and I want to share that with you in this video. It’s the complete opposite of what everyone else has been telling you, and I call it: Unscaleable.com Thank you for watching and comment the word "unscalable" if you'd like me to send you a deep, full training video from my Unscaleable Consulting program that my paying clients get access to. It's not some shitty lead magnet by the way, it’s a genuine full and deep training video that I put hours of work and planning into for you. Again, comment the word "unscalable" and I'll personally send you access. Learn from my mistakes and build your coaching or consulting business the right way. I hope that this helps. Will.

15 Claude Agents that handle your LinkedIn GTM end to end. you don't need a $3,800/mo Agency/SDR Team anymore, free access below👇 built this so any business can run a complete linkedin sales system without an agency or sdr team behind it. here is everything inside: a) profile & positioning 1/ profile optimization - turns your profile into the first sales conversation before anyone messages you 2/ icp targeting - makes sure every part of the system reaches people who can actually buy b) content & inbound 3/ hook writing - writes the line that makes the right person stop and read everything 4/ lead magnet - pulls 400 to 800 qualified people into your world with one post 5/ comment engagement - turns public engagement into private business conversations 6/ inbound lead detection - finds the warmest people in your audience before they move on c) outbound prospecting 7/ prospect research - knows everything about someone before the first message goes out 8/ connection request - gets the right people saying yes to connecting 3x more often d) dm conversations 9/ cold outreach - opens conversations with strangers at 31% reply rates 10/ warm outreach - re-enters conversations with people who already know you exist 11/ reply classification - reads every reply and routes it to the right next move instantly 12/ objection handling - turns every no or not yet into a conversation still worth having e) conversion 13/ follow-up sequence - stays in the conversation until the timing is right, 40% of 870+ calls came from here 14/ call booking - moves dm conversations to booked calls without ever feeling pushy 15/ re-engagement - wakes up every conversation that went cold in the last 30 to 90 days every agent runs for $20 a month instead of $3,800. free access below. reposting helps you skip the queue.

ChatGPT is still a chatbot in 2026. This new AI voice assistant completes hours of work in minutes. Here's how it works: You speak. It does. In whatever app you're already using. No tab switching. No copy-pasting between tools. No typing. Just press one key. Say what you need. And it executes. Right there. In place. Here's what it actually does: ✔️ You're in your inbox → speak → perfect reply drafted instantly ✔️ You're in a doc → speak → full paragraphs written from your voice ✔️ You're in a browser → speak → research pulled in without opening a single new tab ✔️ You're in Slack → speak → context-aware responses generated on the spot This isn't dictation. This isn't a chatbot you paste from. This is an AI agent that works WHERE you work. Think about that for a second. 70% less context switching. That's not a productivity hack. That's a workflow revolution. It works for: Marketing teams drowning in comms Founders who write 100+ messages a day Agencies juggling clients across 15 tools Anyone who's tired of typing the same things over and over The best part? It learns your tone. It adjusts your text. It brainstorms with you. Like having a second brain That actually listens. I've put together a full SOP The tool name How to set it up The exact voice commands I use daily And use cases for ecommerce, marketing, and content teams. I have a full Notion board with the full guide. Let me know in the comments if you want it and I will send you a link.

50 Claude agents now run our Shopify store We built one for every job in the backend 👇 Running a store is fifty small jobs weekly Most of them are checklists, not judgment So we turned every checklist into an agent 1/ Cart recovery agent Writes the winback flows, segments by cart value 2/ Margin guard agent Watches discounts and shipping eating your profit 3/ Dead stock agent Flags inventory that stopped moving, drafts the exit plan 4/ PDP optimizer agent Rewrites titles and descriptions from real search terms 5/ Klaviyo flow agent Audits every email flow, finds the dead ones 6/ Weekly KPI agent Writes the Monday summary, which SKUs moved and why The other 44 cover feeds, reviews, CRO, support Every agent is a setup guide, not a loose prompt Open Claude, connect your store, paste the role First live run on one store last week 17 dead SKUs flagged, $2,300 in discount leakage caught Setup to first finding took 20 minutes The full library is free, link in the first comment

Anthropic released Skills for Claude. Most marketers will use them like fancy prompts. Vicky Lalwani wired them into an operating system that runs my Google and Meta accounts 👇 Here's the difference. A prompt is something you retype every week. A skill is a module Claude already knows. You call it by name, point it at an account, and it runs. Built on Opus 4.8, so it handles the longer, multi step work a real account audit actually needs. Here's what's in the system right now: GOOGLE ADS modules: → negative-keywords, pmax-auditor, rsa-generator → search-terms, shopping-feed, bid-adjuster → keyword-cluster, ad-assets, quality-score → budget-pacing, landing-page-fit META modules: → ad-copy, asc-auditor, audience-builder → creative-analyzer, hook-optimizer, angle-tester → offer-testing, placement-audit, retargeting → budget-scaling, comment-miner And here's what makes it a system, not a folder of prompts: Vicky calls one module, point it at an account, and it runs. Reads the data, does the job, returns the fix. budget-pacing → last 7 days → efficient scale. One call. Done. No retyping the prompt. No re-explaining the account. No copy paste from twenty docs. The shift nobody has priced in yet: A prompt works once. A skill works every time, the same way, forever. That's the line between using Claude and building with it. Let me know if you want it!

Why I only use this 1 Claude system for LinkedIn: 0 ads. 100% organic. 263,680 views in 90 days. Get the system 👇🏾 Most people who start on linkedin spend wasting time: → commenting on 100s of posts. → joining engagement pods that get you shadow banned. → hiring ghostwriters & paying them $1500 / month. → use cringe ChatGPT content that sounds like AI slop. I went the other way. 1 channel — LinkedIn. 1 strategy. 1 claude system that’s trained on 26,534 viral outlier linkedin posts. The secret? For each and every one / “type” of posts, I have these templates (26,534+) that’s broken down line by line for an AI to follow EXACTLY the way you want… (ai isn't great at picking up style) Since running this system, the numbers speak for themselves: → 100s of leads. → 200,000 views in 28 days. → 60+ demos calls per month. Get the system here. 👇🏾

I just built the ultimate Claude LinkedIn team. Now it's yours. 👇🏾( THIS IS THE SYSTEM – too many comments, no need to comment anymore: hope it helps: https://lnkd.in/gttpMtZB ) Not generic ChatGPT prompts. A full AI-powered LinkedIn content engine built for what’s working in 2026. I spent 2 months of testing & wiring this thing together. 9 specialized agents. 2M+ views so far. Inside the Claude LinkedIn content system, you get: 💥 Persona + context engine from your last 100 posts, linkedin, website (3000+ words) 💥 Research scanning Reddit and X daily for ICP pain points 💥 Hook generation trained on 100M+ viral impressions 💥 Post writing with 3 QA rounds — zero AI slop (100M+ views) 💥 Viral infographic creation in 4 styles (Cheatsheets, Notebook, Versus, Diagrams) & 40+ references. 💥 90-day scheduling + analytics via LinkedIn's official API 💥 Weekly viral creator tracking (fetches top posts from 40+ influencers in your niche) 💥 Self-learning engine that updates your preferences after every feedback This is the exact system I use to get 200K+ impressions per month. Get access here. 👇🏾

🚨 Mastercard is Hiring – AI Engineer 🏢 Company: Mastercard 💼 Position: AI Engineer 📍 Location: Pune, India 🎓 Qualification: B.E. | B.Tech | M.E. | M.Tech | B.Sc | M.Sc 💼 Experience: Freshers / Experienced 🎓 Passing Year: Recent Graduates / Eligible Batches 💰 Expected Salary: ₹21–35 LPA (estimated) 💬 Comment "INTERESTED" and DM me. I'll share the official application link with you. 📢 I post verified fresher jobs, internships and early-career opportunities every day. 📌 Join WhatsApp Group: https://lnkd.in/gxpCFAzQ 👉 Follow Kalaiyarasan P for daily job updates. 🚀 Start applying now and take the next step in your AI career! Disclaimer: This post is shared for informational purposes only. Company names, logos, trademarks, salary estimates/details and application links belong to their respective owners. I am not associated with or endorsed by Mastercard #Mastercard #AIEngineer #ArtificialIntelligence #MachineLearning #DataScience #AIML #FreshersJobs #PuneJobs #Hiring #JobsInIndia #TechJobs

🚨 TriNet is Hiring – Associate Data Scientist 🏢 Company: TriNet 💼 Position: Associate Data Scientist 📍 Location: Hyderabad, India 💼 Experience: 0–1 Year 🎓 Eligibility: B.E. | B.Tech | M.E. | M.Tech | B.Sc | M.Sc | MCA 💰 Expected Salary: ₹6–10 LPA (estimated) 💬 Comment "INTERESTED" and DM me. I'll share the official application link with you. 📢 I post verified fresher jobs, internships and early-career opportunities every day. 👉 Follow Kalaiyarasan P for daily job updates. 🚀 Start applying now and take the next step in your Data Science career! Disclaimer: This post is shared for informational purposes only. Company names, logos, trademarks, salary estimates/details and application links belong to their respective owners. I am not associated with or endorsed by TriNet. #TriNet #AssociateDataScientist #DataScientist #DataScience #MachineLearning #AI #FreshersJobs #HyderabadJobs #Hiring #TechJobs #JobsInIndia

50 Claude agents now run our paid ads We built one for every job in the account 👇 Media buying is fifty small jobs done weekly Most of them are checklists, not judgment So we turned every checklist into an agent 1/ Search terms miner Reads the query report, drafts the negative list 2/ Budget pacing agent Projects end-of-month spend, flags blowouts early 3/ Creative fatigue agent Watches frequency and CTR, calls dying ads 4/ Ad library spy agent Pulls competitor creative with the angles worth stealing 5/ CAPI health agent Checks signal quality before it costs you delivery 6/ Weekly report agent Writes the Monday summary, which pages moved and why The other 44 cover audits, bids, feeds, lead quality Every agent is a setup guide, not a loose prompt Open Claude, paste the role, connect your ad account First live run on one account last week 41 wasted keywords paused, $1,700 in junk spend caught Setup to first finding took 20 minutes The full library is free, link in the first comment

I just compiled 300 AI tips for Finance teams 👉 Comment "AI" and I'll send them to you + a free seat for my AI Finance Masterclass 100 for ChatGPT 100 for Claude 100 for Copilot All in one place. This can save you 100s of hours in 2026 when using these GenAI tools Here's why I made this: Last week during a corporate training, a controller told me: "I use ChatGPT every day but I know I'm only using 10% of it" I hear this in every single session I do. Finance teams are using AI for emails and basic research But they're missing the real stuff: → Building financial models directly inside Excel → Using the CSI+FBI prompting framework for consistent outputs → Creating interactive dashboards that update in real-time → Automating data consolidation with scripts AI writes for you → Building custom agents for monthly commentary and reporting These 300 tips cover exactly that. Here's what's inside each cheat sheet 👇 1) 100 ChatGPT Tips → Framework: 25 prompting frameworks (CSI+FBI, RISEN, STAR, and more) → Shortcuts: 25 keyboard shortcuts for Windows and Mac → Data: Excel formulas, pivot tables, charts, Python in Excel → Advanced: custom GPTs, APIs, Canvas, and AI agents 2) 100 Claude Tips → Claude in Excel: build models, audit formulas, create charts directly in your spreadsheet → Dashboard: KPI scorecards, board-ready P&Ls, scenario analysis → Claude Cowork: automate file cleanup, batch reports, research synthesis → Tips & Best Practices: prompting, memory, extended thinking, connectors 3) 100 Copilot Tips → Productivity: Teams meetings, Outlook, Word, PowerPoint automation → Prompting: CSI+FBI framework, role-based prompting, audience targeting → Data: Excel analysis, pivot tables, charts, Python, Power BI → Advanced: Researcher, Analyst, agents, workflows, app builder 300 tips. 3 tools. I've seen finance teams spend weeks figuring out what AI can actually do for them Trying random prompts, watching generic tutorials, getting inconsistent results No one

I built a full LinkedIn Skill Library. And I'm giving the entire thing away for FREE. It's the system behind every post you've seen from me. Written, designed and shipped by Claude, in my voice, with my brand. Most free resources hand you prompts you forget in five minutes. This one hands you the machine. It covers the whole content chain: ↳ finding the hook
↳ writing the post in your real voice
↳ designing the infographic in Figma
↳ seeding human comments
↳ publishing a finished asset Inside are 4 assets: 1. Designer Skill
 A Claude skill that builds branded infographics inside Figma. 8 layout archetypes, a full design system, QA gates that block anything ugly from shipping. 2. 150+ Viral Hooks
 More than 150 templates across 7 post formats. Each one pulled from a post that already worked. Swap in your details and go. 3. Ghostwriter Skill
 A fill-in template that turns your voice into a repeatable posting system. Hard rule inside: if there are no voice samples, it doesn't invent one. 4. Step-by-Step Guide Connects Claude to Figma screenshot by screenshot. The only technical barrier, removed. Every piece feeds the next. The hook picks the format. Ghostwriter writes it. Designer makes it look like you paid someone. Took me months to build this. Takes you 10 minutes to start using it. And honestly... I didn't build it to make more content. I built it because I was tired of content eating my week. The whole library is FREE.

50 Claude agents now run our Shopify store We built one for every job in the backend 👇 Running a store is fifty small jobs weekly Most of them are checklists, not judgment So we turned every checklist into an agent 1/ Cart recovery agent Writes the winback flows, segments by cart value 2/ Margin guard agent Watches discounts and shipping eating your profit 3/ Dead stock agent Flags inventory that stopped moving, drafts the exit plan 4/ PDP optimizer agent Rewrites titles and descriptions from real search terms 5/ Klaviyo flow agent Audits every email flow, finds the dead ones 6/ Weekly KPI agent Writes the Monday summary, which SKUs moved and why The other 44 cover feeds, reviews, CRO, support Every agent is a setup guide, not a loose prompt Open Claude, connect your store, paste the role First live run on one store last week 17 dead SKUs flagged, $2,300 in discount leakage caught Setup to first finding took 20 minutes The full library is free, link in the first comment

I'm finally releasing my 15 Private Claude Agents for LinkedIn Content. Built on 1.2M ICP views generated for clients, free access below 👇 took 2 years and 1.2M ICP views across real client accounts to build these. here is everything inside: 1/ Content intelligence - 3 agents - covers icp content mapping, viral pattern recognition, and competitor analysis - finds the exact angles that generated 1.2M targeted views without spending a dollar on distribution. 2/ Authority positioning - 3 agents - covers thought leadership architecture, content pillar development, and market angle generation - builds public authority that makes serious buyers decide before any conversation starts. 3/ Demand generation - 3 agents - covers tofu demand posts, lead magnet architecture, and hook writing - generated 400 to 800 qualified icp comments per post and 870+ booked calls from content alone. 4/ Content production - 3 agents - covers long form writing, short form repurposing across 5 formats, and calendar management - produces a full week of content from one idea in under 30 minutes. 5/ Performance & optimisation - 3 agents - covers performance attribution, engagement quality scoring, and icp view tracking - separates what generates qualified pipeline from what generates vanity metrics with zero revenue behind them. intelligence → positioning → demand → production → optimisation every agent runs for $20 a month instead of $4,700 in agency retainers. 15 agents. entire LinkedIn content operation covered end to end. built on 1.2M real ICP views and 870+ booked calls - not theory. free access below. reposting helps you skip the queue.

This agent runs the job of your $249K/year SDR team with Opus 5. What used to take a full team and 100+ hours a week now runs on autopilot. While you sleep. -- Most teams are stuck on the outbound treadmill: → Bad lists → Generic, copy-paste messages → Zero replies This system flips that. It reads your exact ICP, then reverse-engineers who to target and what to say. At scale. -- I spent months building this. The results: → 10X more pipeline → 90% less manual work → Runs every single day, no reps touching it -- How it works: 1️⃣ Mines and validates prospects from Apollo, LinkedIn, Crunchbase and Google Places 2️⃣ Researches every company and scores each lead 0 to 100 against your ICP 3️⃣ Writes and sends personalized email and LinkedIn outreach, then logs it to your CRM -- What you get: → The full workflow → The prompts → The 0 to 100 lead-scoring logic → The exact tool stack → The ICP and positioning template -- Want the complete build? 1️⃣ Connect with me 2️⃣ Comment "ENGINE" below I'll DM you the entire system once we're connected. ♻️ Repost for priority access.

The world’s largest collection of AI use cases? (September 2026 edition) Every organization is unique. But there are AI agent, agentic AI, and generative AI use cases proven to deliver value across enterprise functions, industries, and innovation frontiers. Leveraging these use cases can help: → Accelerate time to value → Reduce costly experimentation → De-risk implementation I’ve aligned 40 sources (5201 use cases) across 20 categories: FRONTIER 1\ Physical AI 2\ Sovereign AI 3\ AI Harness 4\ Agent Identity FUNCTION 5\ Software Eng. 6\ Cust. Service 7\ ITSM 8\ Finance 9\ Sales 10\ Marketing 11\ Supply Chain 12\ Risk & Legal INDUSTRY 13\ Financial Serv. 14\ Health & LS 15\ Manufacturing 16\ Retail & Cons. 17\ Tech & Softw. 18\ Insurance 19\ Public Sector 20\ Energy Check out the graphic below for more details. P.S. I’ll continue sharing with everyone who reposts or comments on Monday, 7th September. Thank you for your patience. In the meantime, get more top 1% enterprise AI here: https://lnkd.in/eBBHY3H7

STOP using Apollo today. you can pull 15k leads for ~1/3 of a cent using this: for context: Apollo is THE most overused tool in outbound. pretty much every sender builds from it, uses the exact filters, and hits the SAME inboxes as you do. then you wonder why a list that booked calls last quarter went quiet. the reply was never in the database everyone else is also renting. it's in the communities your buyers already live in, the groups and comment sections no lead tool bothers to index. you can pull 15,000 of those people for about a third of a cent each and start sending the same week. i recorded the exact method. The LinkedIn Lead List System: → how to find the high-intent sources: groups, communities, and post engagers your buyers already hang out in → the exact method for pulling a 15,000-person community list for the price of a rounding error → how to scrape that list with Followingg(.)co without getting your LinkedIn account banned → the list-prep steps to clean the data so you can start sending the same week → why most of last year's booked calls came from communities, not a lead database → the Apollo and ZoomInfo problem: roughly 1 in 4 leads you pay for is junk that gets filtered out later this will make a MASSIVE difference to your outbound results. more than almost anything else you could do around copy, offer, etc.  details below 👇

I built a complete Claude B2B Content Engine. 30 specialist agents. And I am giving the whole thing away for free 👇 Most people treat content like one job: Write a post. Publish it. Repeat. But B2B content is not one task. It is a system. Strategy decides what to say. Ideas decide what is worth saying. Creation turns it into content. Design makes it easier to consume. Distribution gets it seen. Measurement tells you what to do next. So I built 30 specialist Claude agents across the entire workflow: → Strategy & Positioning ICP, positioning, content pillars, messaging, voice → Ideation & Planning Ideas, angles, hooks, calendars, repurposing → Creation & Copy Posts, hooks, carousels, long form content, CTAs → Design & Assets Carousel briefs, graphics, data visuals, infographics, brand checks → Distribution & Engagement Posting, comments, replies, DMs, warm lead spotting → Measurement & Optimisation Performance, hook patterns, pipeline attribution, audience fit, strategy reviews Each agent has one specific job. Because the goal is not to generate more content. The goal is to build a content engine that keeps working even when you get busy. Useful for founders doing everything themselves. Useful for teams trying to turn content into pipeline. Want the complete Claude Content Engine? Get it below for free 👇

I used Claude AI to build a Big 4-style GL testing model. But I didn't want to give AI the new GL and rebuild everything again next month. So now I just drop the new GL into a folder or server and using power query I just click Refresh All. All 19 GL audit tests update automatically. That was the real automation I wanted. The first version worked brilliantly—but only for the GL I gave it. Then February closes. Then March. If every new month means going back to AI, uploading the ledger again and rebuilding the testing, we've automated the task, may be. but not the process. So I used Claude to help me rebuild the whole engine using Power Query + the Excel Data Model. Now: New GL → folder/server → Refresh All → testing updated. No rebuilding formulas. No copying exception registers. No starting again every month. The demo currently runs: • 23,543 GL lines • 10,155 journals • 19 automated audit tests • 21 Power Query queries • 3 accounting periods • 1,426 flagged lines I also added a control for something I nearly missed: Put the same month's GL in the folder twice under different filenames and your results can silently double. Now the model catches that too. This is how I think AI should be used more often in finance and audit: Don't keep asking AI to repeat the same job. Use AI to help build a system that keeps doing the job. Comment GL REFRESH and I'll send you the workbook, all 21 Power Query queries, DAX measures, setup guide and three months of demo GL.

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149,611 stars for a repository that ships an entire AI agency. The Agency is a free, MIT-licensed collection of more than 270 specialist agent profiles. It covers engineering, marketing, sales, design, research, and other divisions. Here is what matters for a marketing or growth team: → You install a specialist profile, not a generic prompt → Profiles exist for media buying, content, SEO, and research work → A desktop app browses the roster and installs into Claude Code, Cursor, Codex, and Gemini → A script-based installer works from the command line for the same tools → The repository itself has no subscription fee The part I find useful: a profile carries the role's method with it. Instead of re-explaining how a paid-media reviewer should read an account, the profile arrives with that context attached. Two limits worth knowing: • The repository is free. The AI tool you install the agents into may have its own charges. • A ready-made profile is a starting point. It still needs your data, your guardrails, and your review before it does real work. I have been building my own specialist skills for paid ads and SEO. This repository is a fast way to compare a structured roster against a homegrown one. Repo link in the comments

Never use generic AI prompts for your ads again. Most founders don’t struggle with launching campaigns. They struggle with making them profitable. Budget gets wasted on the wrong keywords. Ad copy fails to convert. Bidding strategies become unnecessarily complex. Cem Atik has turned eight years of advertising experience into a practical Gemini 3 library. It helps you: → Write stronger ad copy → Find better keyword opportunities → Diagnose campaign issues → Improve bidding decisions → Optimize campaigns more effectively This isn’t based on theory alone. The frameworks behind the library have been used across more than 100 industries. Inside, you’ll find: → High-converting copy prompts → Keyword discovery frameworks → Campaign optimization checklists → Diagnostic prompts → Bidding strategy builders Let me know in the comments if you’d like a copy, and I’ll send it over.

McKinsey cut somewhere between 3k-4k roles, its largest reduction since 2008, and the cuts landed hardest in junior research and analysis. Do not read that as a firm in trouble. Read it as a firm telling you something true about its own product. The junior analytical layer is the layer that manufactures the deliverable. Two associates, six weeks, a fact base assembled from expert calls at a thousand dollars an hour, a market model, an issue tree, a set of action titles rewritten four times before a partner sees them. That is where a strategy study is physically made. When a firm compresses that layer first, it is because the work in it got cheaper to do. They know exactly why. They are running the same models you can run. So the honest question for anyone about to sign a seven-figure study is no longer whether the frameworks are good. They are good. Issue trees, MECE, profit pools, the whole apparatus is genuinely excellent thinking and I use it constantly. The question is what you are paying for once the layer that produced it has been automated by the people selling it to you. The market rate for a mid-size strategy study still runs to about $1.8 million. Fourteen weeks. A partner who appears at the beginning, at the readout, and in the invoice. I rebuilt the analytical half of that engagement as over 100 copy-paste prompts. 105 of them, across 21 skill families, sequenced the way an actual engagement runs rather than the way a prompt list usually gets dumped on you: Problem framing and issue trees. The fact base. Assumption audits. Market sizing. Competitive intelligence. Segmentation. Profit pools. Strategic options. Pricing. Business cases. Portfolio review. Operating-model design. Prioritization. Roadmaps. Risk. War-gaming. KPI architecture. Stakeholder alignment. Executive narrative. Board memos. And a last family that turns the whole run into something reusable. Every prompt carries the full scaffold: what to feed it, what comes ba

SpaceXAI and the Grok Bot team are letting me give away 50 free Ultra Plans ($200) to people who reply below. I joined the beta of Grok Bot and quickly became obsessed. Here are some of my current favorite Bots: Chief of Staff Chad Everything I do routes through this. I chat with it all throughout the day as I have work I need to get done. I texted a friend recently that Grok Bot turns "a to do list" into "a done list" lol. Cheesy but true. LinkeyDinkey Dan Grok Bot has a "virtual machine" so I can have it log into LinkedIn on my behalf and help to do searches, resrearch, DMs (1:1), enrichments (small scale) and more. It's magic. You can also set up "Routines" (recurring automations). For example: I have one that triages my LI connection requests every Tuesday, and based on rules I gave it (eg: threshold of common connections) it'll accept or decline + sends me notable people. (I have it skip anyone who sent me a message, so I personally read those). Then it sends me a Slack letting me know it's done. Substack Sam Sends me a report in Slack every morning with Substack stats (no CLI, so it uses the virtual machine). eg: number of subs L24H, sources, WoW % trend up or down. Idea Inbox Irene Helps capture content ideas and flesh them out. I have no shortage of ideas, but I do struggle with organizing, prioritizing and revising ideas. Irene crushes this for me. Research Ricky Runs deep research for topics I'm researching. One thing I've noticed about Grok Bot is it is relentless. It keeps going... in a way I haven't experience with other LLMs. And it'll catch balls I dropped and send them to me, even if I didn't ask for it (in good ways, not annoying ways). ~~~ Think of Grok Bot like Slack, but with agents instead of people (you can start a channel with multiple bots). It takes 2 minutes to 'learn'. It's what I always thought claude co-work should be. It's the most magical AI experience to me since Claude Code (opus 4.6) in December, and ChatGPT b

𝗖𝗹𝗮𝘂𝗱𝗲 𝗮𝘀 𝗬𝗼𝘂𝗿 𝗖𝗢𝗢 💶 In the early days of a startup, the CEO ends up owning a bit of everything. The role is critical. The budget isn’t there. So the founder absorbs it. Running operating rhythms, closing gaps between teams, managing OKRs, vendors, performance cycles, SOPs, org health: all of it, on top of the job they already had. The ceiling isn’t capability. A COO’s job is multiple operating functions that all need full attention simultaneously. There’s only one of you. I wrote a newsletter on it: 14 ready-to-paste prompts, one for each function, that run start to finish inside Claude. Inside you’ll find: 1. How to Run the Operating Rhythm That Keeps Everyone Aligned 2. How to Make Sure Nothing Falls Through the Cracks Between Teams 3. How to Turn What Actually Happens Into Process Everyone Follows 4. How to Keep the Org Itself Healthy 5. How to Close Every Operational Gap Before It Costs You Comment COO and I’ll send you the link!

Most strategy decks cost $15K and take 6 weeks. I just built one in 12 minutes. Board-ready. Consultant-grade. $0. And I'm going to show you exactly how. Look at that gif for 10 seconds. That's a 30-page strategic analysis. Complete with appendices. Financial models. Competitive intelligence. Market sizing. All generated by AI. Here's what's inside: ✓ Executive summary with 3-year roadmap ✓ TAM/SAM/SOM with growth forecasts ✓ PESTEL breakdown (not generic—industry-specific) ✓ Porter's Five Forces with weighted scoring ✓ SWOT that actually leads to actions ✓ VRIO framework showing your unfair advantages ✓ Blue Ocean canvas with ERRC grid ✓ Financial projections with scenario modeling ✓ Implementation Gantt with milestones The game-changer: AI now pulls real market data. Applies strategic frameworks correctly. Builds financial models that actually work. Cites every source. This becomes your foundation. The strategic groundwork consultants spend weeks on? Done. Now when you bring in experts: → They start from insights, not zero → You've already mapped the landscape → Meetings focus on execution, not education → Your budget goes to strategy, not research You're not replacing strategic thinking. You're eliminating the grunt work so humans can focus on what matters: Decisions. Nuance. Execution. The secret? It's not just prompting. It's knowing which data points matter. Which frameworks to combine. How to structure the brief so AI delivers precision, not fluff. I have a full Notion board with the full guide. Let me know in the comments if you want it and I will send you a link.

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I stopped writing LinkedIn posts. I built a Claude LinkedIn team instead. Get it here, free. 👇🏾 ( THIS IS THE SYSTEM – too many comments, no need to comment anymore: hope it helps: https://lnkd.in/gyEfYqXF ) 2025: → 13 views per post → No system → 700-word prompts that produced slop → 0 leads 2025: → 600k+ impressions in 60 days → $10K saas → LinkedIn content running on 8 agents Every post runs through a team: → Research Agent — scans Reddit/X for ICP pain points → Ideation Agent — finds angles worth writing about → Hook Agent — crafts openers trained on 100M+ viral impressions → Writer Agent — drafts using context engineering, not prompts → Editor Agent — cuts the fluff, tightens pacing → Tracker Agents – tracks viral posts in my niche, weekly → Voice Calibrator — matches my exact tone from a 3,000-word fingerprint → Infographics Agent — builds visuals that stop the scroll → Analytics Agent — get deep LinkedIn analytics using LinkedIn’s apis → Scheduler Agent — posts via LinkedIn API at peak times Each agent has one job. Together, they produce content that actually performs. And yes. Built on top Claude Opus / Sonnet 5. If you want the agent system, get it here free. 👇🏾

I paid $3K/month for a LinkedIn agency. Then these 17 Claude skills fired them. Get the system free ↓ ( THIS IS THE SYSTEM – too many comments, no need to comment anymore: hope it helps: https://lnkd.in/gyEfYqXF ) The agency was good. But she didn't know my voice. Every draft needed 3 rounds of edits. The content calendar was always a week behind. I wasn't scaling. I was paying someone to keep up. So I spent 112 hours building what replaced her: 1/ ai clone — analyzes your LinkedIn, website, and X. Builds a 3,000-word ai clone Claude reads every session. 2/ research agent — scans Reddit, X, and news daily. Surfaces angles in your ICP's real language, not yours. 3/ hook generator — trained on 5,836 viral hooks across 100M+ impressions. Matches every hook to your voice profile. 4/ content writer — drafts op-eds, lead magnets, announcements, build-in-public posts. Sounds like you, not a template. 5/ viral creator tracker — tracks 40 creators weekly, fetches their last 40 posts, flags what's spiking. 1-click adapt. 6/ infographics builder — turns any idea into a finished infographic. 41+ visual styles, one prompt. 7/ scheduler + analytics — auto-posts + analytics via LinkedIn's official API. No extensions. No manual publishing. Get the system + unlimited usage link, free. 👇🏾

Here are my 17 best Claude skills for LINKEDIN: For creators and founders... You can get them below for FREE in this system! 👇 ( THIS IS THE SYSTEM – too many comments, no need to comment anymore: hope it helps: https://lnkd.in/gttpMtZB ) When used correctly, Claude skills can replace an entire team. So I went ahead and packaged all of my best Claude skills for LinkedIn content and growth into one system. This will help you with: → CONTEXT BUILDER → HOOK GENERATION → VIRAL CREATOR / TREND TRACKING → CONTENT WRITING → INFOGRAPHICS → AI PATTERN REMOVAL → CONTENT SCHEDULING → TREND RESEARCH +++ 17 more. Get the content system here. 👇🏾

My SEO Agent now carries 26 skills. Not one mega-prompt. Twenty-six focused workflows, each built for one search job. The coverage: → Technical: audit, sitemap, hreflang, Core Web Vitals, images → Content: brief, readability, page review, schema, internal links → Research: DataForSEO, GSC interpreter, keyword clustering, topical authority → Overlap control: cannibalization detection before pages compete → Specific models: local, maps, ecommerce, competitor pages → Authority: link building → Answer engines: AEO and GEO → Reporting: monthly report generator A few things I kept on purpose: • Each skill is its own file. Install only the one your task needs. • The outputs are audits, maps, checklists, and draft material for review. • No live changes. The agent reads data and writes recommendations. Site, account, and outreach actions stay with a person. The work order matters: 1. Technical checks when access, indexation, or site performance is uncertain 2. Research skills to assemble evidence and the content map 3. Cannibalization check before approving overlapping pages 4. Page planning and review 5. Model-specific skills where the business needs them 6. AEO, GEO, and reporting once the purpose and measurement are clear The complete set is packaged as one free download. Comment SEO and I’ll send the full agent.

I just built a 36 Claude Agent Team that now runs my entire LinkedIn GTM. Kick your $5k/mo agency out and install this in 3 mins, get free access below👇 built this after realising a $5K a month agency still only covers a fraction of what a complete LinkedIn GTM system actually requires to run end to end. here is everything inside: Profile & market authority - 4 agents - covers profile architecture, headline optimisation, about section rewriting, and authority positioning that converts the right visitors before they leave. Audience intelligence - 4 agents - covers precision icp mapping, buyer intent detection, competitor monitoring, and full prospect research before any content or outreach touches the market. Content & demand generation - 6 agents - covers full funnel content strategy, scroll-stopping hook writing, lead magnet creation, tofu demand posts, and short form repurposing that pulls 400 to 800 qualified buyers from a single post. Inbound pipeline activation - 4 agents - covers comment engagement, warm signal detection, profile viewer outreach, and post engager responses that convert public attention into private conversations within 4 hours. Outbound prospect activation - 6 agents - covers connection requests, cold outreach at 31% reply rates, warm follow-up sequencing, prospecting cadences, dormant lead reactivation, and full outbound pipeline management without manual effort. Revenue conversion - 6 agents - covers reply classification, objection neutralisation, lead qualification, call booking, no-show recovery, and referral extraction built from patterns across 1,090 real booked calls. Gtm reporting & optimisation - 6 agents - covers reply rate tracking, conversion analysis, content performance, pipeline velocity, lead quality scoring, and weekly gtm reporting that shows exactly where revenue is coming from. profile → intelligence → demand → inbound → outbound → conversion → reporting every agent runs for $20 a month instead of

Claude Fable 5.1 just dropped and it can build A/B tests in Shopify now. Everyone's already using AI for CRO strategy. Now it can design and code the A/B tests too. Here's the loop: → Pull your live page into Figma → Tell Fable what to redesign or change → Fable reads the Figma and writes the code → Convert MCP creates the A/B test as a draft → You QA it on your phone and desktop, launch it when you're ready → When it's run, Fable reads the Convert report and tells you if it won That used to take a designer and a dev most of a week. Now it's an hour. Would I let it press start on its own? No. It builds, I QA, then I tell it to start when everything looks good. What changed with Claude Fable 5.1: it finishes long jobs on its own, the code is cleaner and it's a lot better at design. The whole setup, the prompts and the 10 tests to run first are in a free guide. Guide is in the pinned comment.

The item was on the shelf. The system said zero. So the store did not sell it, the replenishment engine did not reorder it, and the regional report recorded a stockout that never happened. Multiply that by a few hundred SKUs across a few hundred stores and you are leaking one to three percent of annual revenue out of a number nobody disputes, because it sits on a dashboard and dashboards feel like facts. Everybody in retail knows this one. It has a name. Phantom inventory. What almost nobody does is the boring part, which is walking the aisle with the associate who has stopped trusting the handheld and asking her what she does instead. She has a workaround. She has had it for four years. It is not written down anywhere, it is faster than the official process, and it is the single most valuable operating document your company does not own. That walk is the diagnostic. Everything after it is transcription. "Big Consulting" prices that walk as a ten-week engagement and staffs it with people who will fly home before the fix is installed. The analytical half of what they produce (the workflow map, the costed waste register, the redesign, the margin math) is now something a competent operator builds in an afternoon against their own numbers. I rebuilt that analytical half as 21 interview-style Claude skills across five layers. Interview-style matters: each one interrogates you with five to eight questions before it produces anything, because a prompt that answers immediately is guessing. Layer 1, Ground Truth (5 skills): the shadow-day debrief, the waste-signature scan, the tribal-knowledge ledger, the approval autopsy, the expedite-loop tracer. This is where the associate's workaround finally gets written down. Layer 2, Redesign (4 skills): a speed-of-light baseline, then a defended add-back, a target operating model, a changeover compressor. Layer 3, Margin Math (4 skills): the recoverable-margin range, the capacity ledger, a vendor scoreca

PE firms are losing thousands of potential acquisitions every month without ever knowing they existed. The companies easiest for your team to find are usually the easiest for others to find too. The real opportunity is in the ones that never make it into the usual databases. I put together a playbook for using Claude Code to find those companies. It covers where to look when the usual databases run dry, how to establish ownership, and how to decide whether a business deserves your attention. It also includes the research structure for turning those discoveries into a usable target file rather than another giant list of company names. The Off-Market Deal Origination Playbook for private equity. I'm making the full guide available for free. Want access? Send a connect and comment BOOK below.

If you’re raising for a startup or VC fund, I can share a new database of 145+ fundraising advisors with no retainers (only success fee). This data doesn't exist anywhere else because we collect it only through our own virtual events (with consent). You'll see: – min/max success fee % – how much was raised in the last 12 months – region focus – 13 client types they work with – contact details 👉 Let me know in the comments if you'd like free access Bonus for supporters – if you repost this to help more founders & VCs – I'll randomly select a VC book winner in 72 hrs among reposters. If you're selected, I'll DM you and ship you Unicorn Focus, The Venture Mindset, or The Book of Elon (can deliver anywhere in the world).

This LinkedIn post made me $20,000. Here's how to write a PIP: PIP = Pitch In Public (I see PIP and think this, not performance improvement plan :) Instead of DMing a prospect and telling them you can help, you publicly show them what you’d improve. It positions you as an expert and builds trust with the right audience. This is the structure I follow: 1) Pick a dream prospect → Choose someone who fits your ICP and has something you can improve. Their content, landing page, ads, website, offer, funnel, whatever falls inside your expertise. 2) Identify the gap → Show exactly what you think is holding them back. The more specific you are, the more expertise you demonstrate. 3) Explain what you’d change → Break down the actual changes you’d make and why. Give away enough of your thinking that the prospect could genuinely use the advice. That’s what stops the post from feeling like a disguised pitch. 4) Show the improvement → Whenever possible, make it visual. Use a before-and-after image, redesign, mockup, or annotated screenshot. 5) Tag the prospect → Once you’ve delivered the value, tag the person or company. Value has to come first. You want them to feel like you’ve already done useful work for them before asking for anything. 6) Make it useful to everyone else → The prospect is the example, but the lesson should apply to the rest of your audience too. Explain why your recommendations matter so anyone with the same problem can learn from the post. That’s why this format is so powerful. You’re pitching one prospect while proving your expertise to every other potential buyer reading. I wrote this post about Jay Shetty. But the client who ended up paying me over $20,000 was someone else who saw it. That’s a Pitch In Public. Don't tell people you’re good. Show them. PS - I’ve got a full guide on how to write Pitch In Public posts. Let me know in the comments if you want it.

Breaking: This Claude Fable 5 Financial Modeling Playbook Skills Can Build 100+ Financial Models! Pretty much every finance team is applying AI to draft their reports faster. Very few of them use AI to develop better financial models. And this was the problem I aimed to solve with my solution. I developed a free 20-page Financial Modeling Playbook using Claude Fable 5 for finance people interested in building models that would be: → Board-ready → Auditable → Repeatable → Maintainable → Based on deterministic calculations The main idea behind it is clear: Code is responsible for the numbers. AI is responsible for reading and drafting texts. Here are the topics covered in the playbook: - Two-level architecture - The use case of Fable 5 for finance - Building your modeling expertise - Designing a top-notch financial model - Integration of systems for real-time updates - Typical mistakes when modeling - Model governance and audit trail - 30-day implementation plan - Free templates and prompts + glossary Not the replacement of financial decision-making with AI. But the right way of doing financial modeling while applying AI. Developed exactly for CFOs, FP&A experts, accountants, analysts, and other finance leaders willing to incorporate AI in financial modeling correctly. It's available absolutely free of charge. Leave me a comment “MODEL” and I will send you the claude skills playbook for free.

Agencies charge $5,000 for this Amazon competitor report. I got it for free. Or more specifically for $0.05. I plugged one ASIN into Claude. Connected one data tool. And asked for a full competitive analysis against the top 5 competitors. What came back blew my mind. Not a basic comparison table. Not a keyword overlap chart. A full strategic teardown. Image by image. Bullet by bullet. It even scored each listing on Rufus readiness. You know, Amazon's AI shopping assistant? The one that's quietly deciding which products get recommended? Yeah. That. Here's what this changes for sellers: ✅ You see exactly where your listing loses to competitors — and why ✅ You find the image types competitors use that you're missing ✅ You spot pricing and offer gaps you didn't know existed ✅ You get a Rufus-readiness score so you're optimised for where Amazon is going The setup takes 15-20 minutes. No coding. No expensive subscriptions. Just Claude, one data connection, and one SOP. After that you can run unlimited competitive analyses. Any ASIN. Any marketplace. Any time. Let me know in the comments if you want the link and I'll send it over.

I asked Claude why my ROAS dropped on Wednesday. It found the answer in 30 seconds...Without opening Google Ads. Most PPC managers spend 3 hours every Monday doing work that should take 30 minutes. I built 24 Claude skills that close that gap. Here's every single one free. These are not prompts you copy from Twitter. These are structured skill prompts each one engineered to pull real data from your account and give you the answer a senior analyst would. No dashboards. No exports. No tab-switching. Just ask Claude in plain English. It reads your data. It answers. 24 skills across 5 categories: Analysis 6 skills → Campaign Performance Analyzer → Quality Score Deep Dive → Competitor Intelligence Monitor → Geo Performance Reviewer → Device Performance Breakdown → Keyword ROl Tracker Diagnostics 5 skills → ROAS Drop Detector → Conversion Tracking Checker → Budget Exhaustion Analyzer → Landing Page Match Checker → Impression Share Analyzer Optimization 5 skills → Wasted Spend Finder → Negative Keyword Builder → Bid Strategy Optimizer → Ad Schedule Optimizer → Budget Shift Modeler Creative 4 skills → Ad Copy Strength Grader → RSA Performance Analyzer → Headline Gap Finder → CTR Improvement Suggester Strategy 4 skills → PMax Breakdown → New Campaign Blueprint → Audience Segment Reviewer → Full Account Audit 35 The Full Account Audit skill alone does what a senior PPC consultant charges $2,000 for. The Wasted Spend Finder outputs a ready-to-paste negative keyword list from your search terms in 60 seconds. The ROAS Drop Detector tells you exactly why performance shifted without 45 minutes of tab-switching. Each skill includes: → What it does → The exact Claude prompt to copy → What output to expect All 24. In one document. Comment: SKILLS I'll send you the complete pack directly. Free. No pitch. No email required. Just the 24 prompts yours to use, keep, and share. Save this post. Tag someone managing Google Ads right now who needs to see this. You might just save them 3 hou

An agency owner quoted $25K for this animated ad. I built it with one Claude Skill instead. Here’s how it goes: Upload one photo of your product. That’s it. • It writes the script and voiceover like a pro copywriter. • It splits the ad into scenes automatically. • It generates the animation scene by scene, with no input needed. • It stitches everything together with the voiceover already on top. One Claude Skill, running inside Pletor, takes it from a single product image to a finished ad. No prompting each clip one by one. No stitching anything together yourself. Start to finish, it’s fully automated. I’m giving away the entire skill. Connect with me Like this post and drop “SKILL” in the comments I’ll send it over in your DMs.

Claude Opus 5 + Seedance 2.0. A skill that researches viral UGC ads, then builds the workflow that copies their structure. It starts by asking what you sell. This run was a clarifying serum for women over 40. Then it goes and finds the ads. Nine real UGC ads in that niche, hunted one format at a time. A street interview. Dropper ASMR. A mirror routine. A packing POV. It downloads each one, pulls the transcript, and samples frames at 1fps to read the camera work. Most teams skip this part and write prompts from memory. That is why AI UGC looks like AI UGC. The format is the thing that travels, not the script. Each decoded ad becomes a hook formula. What happens in the first 3 seconds, what the body does, whether there is a CTA at all, and why it worked. Those turn into eight director shot cards with a named camera move, the set and the light, and one spoken line of 12 words at most. The skill then builds the flow in your workspace. Eight Claude nodes adapt the shot cards to your product photo. Eight Seedance 2.0 nodes render them. Inputs: • one product photo • what you sell and who buys it Outputs: • eight 7 second vertical clips, 480p, 9:16 • eight hook angles, each traced back to a real ad • the flow itself, rerunnable on the next product The research is the reusable half. Swap the photo and the same eight formats hold. Built in Wireflow AI Comment SKILL for the Skill + workflow.

100 likes on your last post. 100 pre-qualified leads. 0 of them in your CRM. You pay for cold data while a warm list sits in your notifications for free. The people engaging with your posts already raised a hand. Here is the 7-step system to work them. 1. Post for the buyer you want ↳ Write straight to the person you want to book. Content that lands with your dream customer, not your peers ↳ To start: use your own insight, or ask the AE who closes the deals ↳ To improve: pull the language from Gong, Fellow, any notetaker ↳ To automate: a Python script pulls insights from every call weekly and updates one database 2. Pull everyone who engaged ↳ Likes, comments, reposts on your best posts, and on competitors and thought leaders in your space ↳ Apify, PhantomBuster, Trigify, or Clay 3. Enrich the list ↳ Raw profiles tell you nothing. Add company, role, seniority, firmographics ↳ Now it is a real prospecting list, not a screenshot of names 4. Rank them by fit ↳ Not everyone who engages is a buyer. Sort by how well they match your best customers ↳ Best matches first ↳ Claude or OpenAI, pushed into Salesforce or HubSpot as the source of truth 5. Stack your contact tools ↳ One tool finds about half the emails. Run several so the next catches what the first missed ↳ You only pay when a real email is found ↳ Run at least 2 paid waterfalls to max coverage: BetterContact, Prospeo, FullEnrich, Icypeas 6. Add context before you write ↳ Look up what is happening at their company right now. Hiring, funding, a new product ↳ Insight first, value first. No pitch on the first touch ↳ Claude, OpenAI 7. Reach out by fit ↳ Best accounts: multichannel with calls ↳ Medium fit: a mix of manual and automated, fewer touches ↳ Low fit: automated. Done beats perfect ↳ Nooks or Orum for heavy dialing, Lemlist or HubSpot if you are not making thousands of calls a day A like is the cheapest buying signal you will ever get. The follow-up is where it leaks. How many warm leads are

44,379 impressions + 832 comments = 8 (inbound) meetings booked ​ i’m giving away the EXACT formula I used:  ​ the short version:  ​ - a genuinely valuable asset, packaged so well that people perceived it as something they'd normally pay for. - on a topic people actually want right now (LinkedIn DMs). - repurpose EVERYTHING there's zero reason not to be posting this exact same thing on X. diversifying your audience on there = more traction - the 8 are just the ones who booked THEMSELVESi haven't even DM'd the 832 people who commented and requested the asset yet. every one of them raised their hand, and will be far easier to book in the DMs. ​ tldr: ​ good asset + high perceived value + relevant topic = you go viral and print inbound calls. ​ yet for some reason everyone still claims:  ​ "lead magnets are spammy, they don't work, everyone's doing them" ​ they work, it's more so a skill issue. ​ want the exact playbook i used to put this together? ​ i threw my entire lead magnet masterclass into one place.  ​ inside:  ​ 1. a FULL Viral Lead Magnet Template Swipe File (plug-and-play templates) 2. 5 Viral Lead Magnet Prompts i use with claude (build a magnet start to finish) 3. the Viral LinkedIn Post Blueprint (packaging + the exact post formula) 4. PLUS a 15-minute loom video breaking down the psychology behind viral lead magnet posts ​ deets on how to get it are below ⬇️

The $2.3M LinkedIn GTM Guide is finally here today. 5 Claude Folders, setup in 4 minutes, free access below 👇 $2.3M in revenue generated for our clients through linkedin in the last 2 years. every tactic, system, and workflow that produced those results is now inside 5 claude folders. here is everything inside: folder 1/ market authority system - authority profile architecture, precision icp mapping, scroll-stopping hook framework, thought leadership positioning - everything that makes the right buyers find you before they find anyone else. folder 2/ demand generation engine - viral lead magnet creation, full-funnel content strategy, tofu demand posts, buyer intent hooks - everything that pulls 400 to 800 qualified buyers into your pipeline from a single piece of content. folder 3/ warm pipeline activation - buyer signal detection, inbound lead intelligence, comment-to-conversation conversion - everything that transforms public engagement into high-intent private conversations worth having. folder 4/ revenue conversion system - precision cold outreach at 31% reply rates, warm prospect sequencing, objection neutralisation from 4,890 real conversations, frictionless call booking - everything that converts conversations into closed revenue. folder 5/ pipeline compounding system - lead qualification framework, behaviour-triggered follow-up sequences that closed 40% of 870+ calls, dormant lead reactivation, referral generation - everything that keeps qualified pipeline flowing without starting from scratch. 5 folders. every part of linkedin gtm covered. setup in 4 minutes. runs without an agency. free access below. reposting helps you skip the queue.