top 100 lead magnets
on linkedin

Claude pre-fills your ad specs. Don't accept all 3. 1 default kept is a placement you didn't choose 👇 The specs picker in the Vibelets MCP is 3 small choices, and every one of them is a placement decision wearing a settings costume. What's inside: 1/ The 3 calls. Aspect ratio, image count or video length. The picker renders pre-filled, and pre-filled is a suggestion, not a decision. 2/ Ratio is placement. On the image path it is 9:16 or 1:1, on purpose: 9:16 covers Stories and Reels, 1:1 owns the feed. Landscape lives on the video side or in a crop. 3/ Count is per template. It caps at 6 and multiplies across templates. Want exactly 4 images? 2 templates at count 2, or 4 at count 1. 4/ Length is a budget. 15 seconds buys 46 to 62 spoken words, and the script gets written to that budget. 5/ The order rule. Specs before review_plan, so the combinations list you approve is exactly what renders. 6/ What stays on you. The placement strategy. Claude renders what you pick; only you know where this ad has to live. Placement is a decision you make before Meta does. Comment "SPECS" and I’ll DM you the specs cheat sheet. Connect with me first so it lands.

CAPTRUST manages more than $1 trillion, and it builds custom private real estate allocations for its clients. If that surprises you, you are not alone. Most GPs cannot name a single RIA that actually deploys into private real estate. The gap is not the money. RIAs are a $14 trillion channel. It is that most GPs pitch the wrong end of it. You send a private placement to an advisor who only holds public REITs. You email info@ when the CIO who signs off on alternatives is right there on LinkedIn. The firms that actually buy are a small, specific slice, and they do not announce themselves. So I mapped them. 300 RIAs that allocate to private real estate on purpose. No PitchBook. No Preqin. Just Claude. Creative Planning, at $217 billion, buys private real estate funds. Cerity Partners, at $120 billion, uses private real estate as an inflation hedge. And 297 more like them, every one already in the asset class. A few honest numbers from the sheet. $4.8 trillion in combined AUM, across 41 states. 64 of them manage more than $10 billion. Every row carries 14 columns: regulatory AUM, the alternatives they actually buy, the decision maker, client types, the CRD number, and a direct link to every SEC filing. The AUM is regulatory AUM from their latest filing, so it is as-of their last update, not live. Contact is the decision maker and their LinkedIn, not always a direct email. Some allocate through funds and model portfolios rather than deal by deal, and those are labeled. Everything is named, tiered by AUM and allocation depth, and ready to import. I started with 170. You asked for more. Here are 300. If you want the full spreadsheet, comment "RIA" and I will DM it to you. If we are not connected yet, add me first, LinkedIn does not deliver messages between strangers. The RIAs buying private real estate are already out there. This just tells you which ones.

I built an IFRS 9 ECL model with Claude AI, then put a slider on it. When dragged GDP from 3.8% to 0.9%. The provision went up SAR 4.7 million. Not because I changed an assumption. Because the model recalculated it. Most ECL files multiply PDs by 1.4x in the downside. Ask where the 1.4 came from and the room goes quiet. Mine regresses 24 quarters of the portfolio's own loss history against non-oil GDP growth and SAIBOR. The multiplier is a result now, not a guess. Move GDP. Move the rate. Add a collateral stress. 40 loans and 25 receivables customers reprice in front of you, with the fitted equation updating as you drag. 19 sheets. 4,498 live formulas, ECL Dashboard. 29 PASS/FAIL checks. Comment ECL and I'll send you the model, the dashboard, the prompt and the Claude skill. #IFRS9 #ECL #CreditRisk #ClaudeAI #FinancialModelling

I built an entire AI Course for CFOs 👉 Comment "CFO" and I'll send you the link to all 5 courses for FREE Here's everything inside 👇 📌 Course 1: The AI CFO Course - The blueprint to go from traditional CFO to AI-first CFO - How to scale AI across your finance function - Roadmaps, governance, KPIs, and adoption 📌 Course 2: The Claude Course - Claude in Excel to build financial models - Claude Voice Mode for finance on the go - Claude Cowork for long-running automation - Top 100 Claude Tips for finance pros 📌 Course 3: The AI for Finance Course - 6 AI use cases for finance (real ones, not theory) - AI roadmap for your finance team - The fast close playbook - 300 AI tips across ChatGPT, Claude, and Copilot 📌 Course 4: The Copilot Course - How to use Copilot in Excel, PowerPoint, Word, and Outlook - Edit with Copilot to build models from a prompt - Why most finance teams use Copilot wrong - Top 100 Copilot Tips 📌 Course 5: The AI Excel Course - 5 best ways to use AI in Excel - Financial analysis with AI in 5 minutes - How to master Claude and Copilot inside Excel - Real CFO examples saving 2+ hours per day Companies normally pay me $10,000+ for this curriculum. I built and tested every method with finance teams at Mercedes-Benz, KPMG, and Rakuten. The gap between a "Traditional CFO" and an "AI-First CFO" is now 10+ hours per week of productivity These 5 courses are how you close that 10-hour gap. I've trained 70,000+ finance professionals on this exact roadmap. Comment "CFO" and I'll send you everything. ♻️ Repost to help a finance pro who's still doing finance the old way. P.S. Which of these 5 courses would help you most right now? Drop it below.

12 Claude skills that run the controller's entire month. Download them free → https://lnkd.in/dNg4srsv The controller job is the same fire drill every period. Close the books. Reconcile everything. Explain the swings. Survive the audit. Then do it again in 30 days. Most of that work is not judgment. It is process you repeat from memory, and re-explain to Claude from scratch every single time. So I packaged the process into 12 skills. Install once, and Claude already knows the playbook. Here is how they map to the month. 𝗥𝘂𝗻 𝘁𝗵𝗲 𝗰𝗹𝗼𝘀𝗲 → month-end-close-orchestration. Close calendar, owners, critical path, and a close scorecard. → balance-sheet-reconciliation. Account risk rating, substantiation, aged items, review and sign-off. → flux-variance-analysis. MoM, QoQ, YoY and budget versus actual, with driver decomposition and commentary. 𝗣𝗿𝗼𝗱𝘂𝗰𝗲 𝘁𝗵𝗲 𝗻𝘂𝗺𝗯𝗲𝗿𝘀 → financial-statement-preparation. IS, BS, and CF with equity rollforward and articulation checks that tie out. → consolidation-intercompany. IC matching, eliminations, unrealized profit, FX and CTA proof, NCI. → revenue-recognition-606-ifrs-15. The five-step model, SSP allocation, and deferred revenue rollforward. 𝗢𝘄𝗻 𝘁𝗵𝗲 𝘁𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗮𝗿𝗲𝗮𝘀 → fixed-assets-capex. Capitalize versus expense, depreciation, disposals, impairment. → ar-ap-management. Aging, CECL and IFRS 9 allowance, and the full DSO, DPO, DIO cash cycle. → inventory-cogs-costing. Standard costing, PPV, E&O reserves, cutoff, and COGS proof. → technical-accounting-memo. Memo structure, research hierarchy, materiality, auditor agreement. 𝗦𝘂𝗿𝘃𝗶𝘃𝗲 𝘁𝗵𝗲 𝗮𝘂𝗱𝗶𝘁 𝗮𝗻𝗱 𝘄𝗮𝘁𝗰𝗵 𝘁𝗵𝗲 𝗰𝗮𝘀𝗵 → internal-controls-sox. Scoping, walkthroughs, RCM, ITGC, testing, and remediation. → audit-readiness-pbc. PBC tracker, workpaper standards, prior findings, and the audit debrief. → cash-flow-forecast-treasury. 13-week direct forecast, liquidity, runway, and covenant headroom. Two things make skills diffe

I want to introduce 3 startups to my VC network 👇 I'm looking for 3 strong early-stage startups to work with on GTM and fundraising and personally introduce to VCs from my and Freshmango network. The focus now is to provide strong dealflow to investors across Europe, pre-seed to Series A, sector-agnostic, can be both B2B or B2C, software or hardware. What that gets you if I see a fit: - Guidance on GTM and Fundraising - Warm intros to VCs, not a cold inbox - Stage: pre-seed to Series A - Geography: Europe & UK (if you are outside of this region but feel that you have a strong team and product, reach out). I'll ask a few questions that matter to me before deciding whom I put in front of our network. Comment "INTRO", send me a connection request, and I'll send you the questions.

A HUGE SWIPE FILE OF 300 VIRAL posts and it's yours for FREE. (+ 300 viral post templates and a Blueprint to go viral) I studied Viral posts from these niches: • AI • Marketing • Startups • Sales • Brand strategy • Copywriting • Social media • Design Just comment "VIRAL" and I'll send it over. (Must also send me a connection request or I can't) ⚠️⚠️YOU WON'T FIND THIS ANYWHERE ELSE ON THE INTERNET. Creators I studied: Jasmin Alić ( LinkedIn dad with 263k+ followers) Lara Acosta (My slay gal with 192k+ followers and 6-figure launches) Literally (6-fig launch company) Matt Barker (founder Matt Barker with 150k+ followers) Luke Shalom (Founder Grow Solo Media with 150k+ followers) Tasleem Ahmad Fateh (Founder Robinhood Agency with 9k+ followers) Andre Haykal Jr (Co-founder ListKit & Client Ascension, total $3m+ ARR) Andrew Bolis (Fractional CMO with 104k+ followers) Andrew Gazdecki (Founder of acquire.com , $1m+ ARR with 100k+ followers) Adam Biddlecombe ( Founder Mindstream (hottest AI newsletter) with 100k+ followers) Izzy Prior (Founder @spark SMM agency wit 70k+ followers) Zaria Parvez (A Fu 30u30 social media manager at Duolingo with 100k+ followers) Jonny Tooze (Agency Coach who's scaled his biz to $7M+ ARR with 51k+ followers) Tom Hunt (Founder and CEO Fame , $3.8m+ ARR with 169k+ followers) Jaspar Carmichael-Jack (Founder and CEO at Artisan, $2m+ ARR with 28k+ followers) + Moreee(I'm tired of typing now lol) You might call me crazy for sharing this for free, but this is an internal **secret** document that I only used to share with my team at IconifyU-Personal branding agency... I want to give MORE to the community I've built, so it's free for you all. My clients pay me $1000s to help them go viral (using this doc) but it's free for the first 200 people who comment. Just comment "VIRAL" now!!!

I analyzed every client my agency has ever worked with. Then I fired a few. First, I split our client base into 2 groups: 1. Companies > $1M/year 2. Companies < $1M/year The difference was much bigger than I expected. Clients above $1M had 4x higher LTV! They stayed longer, were more comfortable paying higher prices, and created a much more predictable business for us. The smaller companies tended to churn faster. So the first lesson was obvious: Bigger companies = better clients. But that wasn’t the full picture. I’ve also fired clients worth 9 figures because the offer they wanted to promote on LinkedIn was brand new. They had money and credibility, but the specific offer had no proof yet, which made them harder to help. So we added a second filter: Offer revenue. Now we focus on businesses already doing more than $1M/year with the offer they want to promote. That means a smaller market. But it also means clients who stay longer, value the work more, and want to play the long game. I recommend every founder do this exercise once in a while. Pull the data. Look at your best customers. Find the patterns. Then focus the whole business around getting more of them. PS - If you're wondering how we get this type of client, I've created a mini-course that breaks down how we get 10 high-ticket sales conversations a month through LinkedIn outreach. Comment "DM" and I'll send it your way.

Most people use Claude wrong for LinkedIn content. They open a new chat every time and start from scratch. No context, no structure; just "write me a post about X" and hope for the best. Here's a better way to actually set it up: 1. Create a dedicated Claude Project just for LinkedIn content, so all your context stays in one place instead of getting lost across random chats. 2. Set clear project instructions; your content pillars, your role (ghostwriter/strategist), your offer, your audience, and what you actually want the content to achieve. 3. Break every post into its real structure: hook, re-hook, storytelling intro, value, a strong ending, and a clear CTA. Most weak posts are missing one of these pieces. 4. Upload your own tone documents: your best past posts, words you don't use, and examples of posts you genuinely like. This is what makes Claude sound like you, not like every other AI-written post. 5. Give it good and bad examples side by side. Show it exactly what a weak, generic hook looks like versus a specific, real one and explain why. 6. Write detailed prompts, not vague ones. Topic, audience, outcome, tone, and format: the more specific the input, the better the output. 7. Never publish the first draft as-is. Always go back and check: does the hook actually grab attention? Does it sound like you? Is every line earning its place? Claude can build the structure. But the specificity that's still on you. Credit: Nader Alnajjar 🧲PS: Most people give up on AI content because "it doesn't sound like me." It's not Claude's fault; it's just missing the context. Set it up right once, and it'll save you hours every single week. ✔️If you want the exact project instructions + prompt template I use, comment "CLAUDE" and I'll send it over.

Clean Your Finance Data with a Claude Skill (build it once, reuse it on every messy export you get) 👉 Comment "Claude" and I'll send you the guide for free I'm keeping this free for the first 100 comments, so be quick Ask a finance team where the month goes and the answer is rarely "analysis" It goes on getting the data into a shape where analysis is even possible The export arrives with a title row above the header Cost centres spelled three different ways Numbers stored as text A subtotal row sitting in the middle of the detail You already know how to fix all of that The problem is you fix it again next month And the month after And each time you make slightly different choices, without writing any of them down You can ask Claude to clean a file in one message and it does a decent job The trouble starts on file two You retype your rules You can't remember exactly what you asked last time And the two cleaned files aren't even comparable, because they were cleaned differently So I built a Claude Skill that fixes this for good Set it up once, and Claude applies the same rules every time, automatically Here's what's inside the guide: 1. A ready-made Skill you can upload to Claude in about 2 minutes, no editing needed 2. Two deliberately messy Excel files so you can practice on data that behaves like your real exports 3. The exact method to turn your own repeatable job into a Skill too The Skill itself runs on 3 rules I don't compromise on: → Never touch the source file → Never lose a row silently → Never invent a number just to make a total tie It profiles your file first, tells you what's wrong before touching anything, asks you the judgement calls only you can answer, then cleans it and hands you a full audit trail, so you can check the work in minutes instead of redoing it yourself The pros aren't cleaning data from scratch every month anymore They built the Skill once, and now it just runs 👉 Comment "Claude" and I'll send you the guide, plus a free

I built a complete LinkedIn Outreach System. And you can get the complete system for free ⬇️ I built a collection of 50+ outreach messages designed to cover every stage of a LinkedIn conversation. From the first connection request through to booking the call and following up with someone who went quiet. It covers areas such as: → Connection requests → Profile viewers → Post engagers → Lead magnet delivery → Comment to DM → First message after a connection → Follow up on no reply → Qualification questions → Booking the call → Reschedules and no shows → Re-engaging old conversations Inside you'll find 50+ messages, each written for a specific moment in the conversation. The goal isn't to automate your outreach. It's to give you the right message for the moment you are actually in, instead of writing every one from a blank box. So you can spend more time in conversations with people who already know who you are. Whether you're a founder, agency owner, consultant or SDR, you'll find something useful inside. I'm giving away the complete system. Free access. Let me know if you want it 👇

🚨 I'm hiring a LinkedIn ghostwriter for my agency. You'll manage 2-3 clients and learn my entire content system. Alongside my consulting business, I run an agency with my business partner. We build client acquisition systems for online businesses, and content is the engine behind all of it. One of our clients did $62K last month. As we grow, I need another writer on the team. What you'll be doing: 1. Ghostwriting LinkedIn content for 2-3 client accounts, in their voice 2. Turning their calls + voice notes into posts that sign clients 3. Working directly with me (I'll teach you my exact content skills) Who this is for: - You can actually write. Short, punchy, human. No AI slop. - You understand LinkedIn. - You take feedback fast and implement fast. It's a remote role. Flexible too (as long as you can get the work done). If you're interested, comment "WRITER" below and I'll reach out. P.S. PLEASE DO NOT DM ME, I WILL NOT RESPOND

LinkedIn just changed its algorithm last week. And Impressions are down by 50%+ for most people... Meanwhile one of our clients is in conversation with a fund managing 1.4T$ So if your posts have been performing worse, that is why. I built a fix. 5 Claude skills. 1. The checker Paste in a draft and it tells you what will stop the post spreading, before you publish it. The three that catch most drafts are shouted words in the body, numbers that contradict each other, and too many asks stacked onto one CTA. 2. The hook drafter Cuts your first line down to something readable on a phone. One idea, plain words, and the number moved to line two. 3. The writer Writes the post around one subject and repeats that subject's language through the body, so the system can work out who to show it to. It trains on your own writing first, so it does not come out sounding like a template. 4. The ideator Gives you post ideas across the five post types, built around your specific buyer rather than your industry in general. 5. The outreach writer Writes the message for each situation. Profile viewers, post engagers, people who commented on a lead magnet. Where this does not help. If you have nothing real to write about, none of it matters. These make existing work faster to publish. Comment SKILLS and I will send them over. PS - They run inside Claude. If you do not use Claude, they will not be much use.

I let AI run my link building. The only thing my team touches is the reply. It finds publishers, screens out the junk, hunts the contact, writes the pitch, and sends the first email. On its own. When a price comes back, it counters with live market data. We just approve. → Qualifies domains like a senior link builder, not on DR alone → Flags declining traffic, link sellers, spam, etc before you waste an email → Ranks pages by real fit, never a risky exact-match anchor → Watches every live link and shows what actually sticks Most agencies still run this with a room full of VAs and a spreadsheet. And you own the whole thing. Install once, on your own stack. Not another retainer. A few install slots open in July. Comment "LINKS" and I'll DM you how it works 👇

We spent 2,000 hours building accounting agents the hard way. Here's how to build yours in 5 minutes for free: In applying AI across hundreds of accounting firms, one of the biggest challenges I've noticed is just getting started. But some AI consultants can charge you six figures just to get started. So today I’m launching: Agent Builder Club 🪩 It’s made to be the easiest way for firms to learn AI by doing. All you need to get started is a Claude or ChatGPT account. Inside ABC, you’ll get: 1. A 5-min guide to set up your Agent (sample data from “The Office” show) 2. Steps to customize your Agent to automate client work 3. Security, cost and tool guides to roll out Agents at your firm The first /close and /advisory agents are made to minimize your time to beautiful client reports all under your own brand 🤩 This first release also includes these first 5 community contributed agents: • Mike Michalowicz - Instant Profit First assessment • Ramon Liriano Jr - Personal to business deduction scan • Oscar Setiawan - Vendor price variance monitor • Josh Schneider - Client meeting brief • Glenn Hopper - COA cleanup and reclass Each agent is open source and verified as secure. To get first access: 1. Comment "agent builder" below 2. Connect with me on LinkedIn 3. I'll DM you the link to sign up P.S. Sign up to get first word on a free community to iterate on the agents you're building 😎

You'd think 100k+ followers would guarantee revenue. Yet I see creators with huge audiences make this one silly mistake: They don't prioritize growing their email list. So when they launch a new paid offer, they struggle to drive sales. Because here’s the thing: Social content is great for generating attention. But it’s not very reliable for generating sales and revenue. So to help you avoid this mistake, here are 4 tactics to help you turn your LinkedIn traffic into email subscribers: 1/ Optimize your profile There are 2 features most people waste: Custom Profile Button: Instead of a generic “Connect” button, set up a custom button (like “Visit my newsletter”) that appears on every post you make. It’s passive, works 24/7, and can be your #1 or #2 driver of subscribers. You may need LinkedIn Premium for this. Featured Section: Instead of featuring multiple things, promote ONE lead magnet. Lead magnets typically have higher perceived value and convert better than just promoting your newsletter. The key: stick to one offer. Multiple options create decision paralysis and hurt conversion rates. 2/ Use direct CTAs in your posts Include links directly in your posts. Even though this might lower your reach sometimes (not always), it’s worth it because it generally leads to more email subscribers. The nuance here: You don’t have to do it every day. You can start little by little and work your way up to maybe 2-3 plugs per week. That way, you can hit a balance of continuing to grow your reach without neglecting your email list growth. 3/ Create 1 new lead magnet per month Once you’ve promoted a lead magnet enough times, people are going to get numb to it. The idea is to have variety in your lead magnet library and continue creating new assets each month. This way, you can mix up the assets you plug into different parts of your strategy - your posts, your profile, giveaways, and DMs. Fresh assets keep things interesting for your audience and prevent fatig

This AI prompt saves you time & makes you money by rewriting your emails with a powerful copywriting framework from Alex Hormozi: Let's face it: Most email copy sucks. And the problem is almost always the same: The emails lack "emotional specificity." They don't trigger any emotions or desires. But that's where Hormozi's framework comes in. The framework is called The Pain Is The Pitch. And the idea is simple: You want your copy to describe the moments when your ideal customers experience pain as specifically and tangibly as possible. Because... "If you can articulate the pain a prospect is feeling accurately, they will almost always buy what you are offering." Now, instead of spending hours doing that manually (or spending thousands on a good copywriter), you can use this prompt (copy/paste it): ## Role/Objective You are an expert email marketer & direct response copywriter, who's familiar with Alex Hormozi's "Pain is the Pitch" framework to transform vague, generic copy into vivid, specific, and emotionally resonant messaging that deeply connects with the reader. ## Context Your goal is to rewrite a given sales, marketing, or promotional email by identifying sections that are vague or lack emotional depth and then providing more specific, tangible rewrites. ## Instructions You're going to: • Identify parts of the original copy that are too general or vague. • Suggest 3 specific, emotionally engaging rewrites for each identified section. ## Examples Vague: "Improve your confidence." Specific: "Feel so confident that you'll look forward to speaking up in meetings and sharing your ideas." Vague: "Save money." Specific: "Cut your monthly expenses by 20% and finally afford that dream vacation." ## Final Guidelines Prioritize adding emotional resonance to the copy so that it deeply connects with the reader's feelings and desires. Use the provided examples as a reference to understand the difference between vague and specific copy. Ensure that

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

URGENT: I’m looking for founders who need funding. I have joined as Venture Ecosystem Lead at Startup Grind Startup Grind San Jose Startup Grind is the largest startup community in the world with 5 million founders across hundreds of countries. My job is simple. Find great founders and put them in front of the people who can actually move their company forward. That means: → Investors who write checks at your stage → Operators who already solved the thing you’re stuck on → Rooms where the intro happens in person, not in a cold email that never gets opened I’ve spent the last few years building exactly this with my community Anwar Events. With 200+ events and garnering over 73,000 people in my community. Every single one of them came from a room I put together myself. Now I get to do it at a much bigger scale with my mission to help people get more funding or more customers for their companies. Tag a founder who is underrated and needs more recognition. If you’re building something, comment “F” and I’ll reach out personally. If you’re raising right now, say that too and I’ll route you to the people who should be seeing your deck. I check my ALINE NETWORK VIP community as well, so you can reach me there if I miss your DM And a big thank you to Mo Salah for seeing the potential in me and bringing me into the venture world like this.

LinkedIn is on EASY MODE. One Agent = 25-40 meetings/month Most B2B teams have: - a good offer - a good proof - a good team But don’t know how to use all of that on LinkedIn to get filled calendars with ICP. So, we spent months building the Agent that does the content + DMs for you. And I made a guide on how you can start using it now! Inside: → How to connect LinkedIn with Agent in 2 minutes → How we average 1-2 meetings/day with it → Step-by-step process on how you can copy our exact system I’m sharing this out of goodwill so you can learn from us. Want exclusive access? 1. Connect with me 2. Comment “GUIDE” PS - Repost this for early access

I built my own AI SEO tool for FREE… Here’s how 👇 Most people pay every month for SEO tools. I used Open SEO to build my own instead. It finds keywords. It checks competitors. It tracks rankings. It even watches AI search results. And yes… It feels like SaaS software. Without the SaaS bill eating your lunch. Here’s the setup: 1️⃣ Install Open SEO It is free and open source. 2️⃣ Add your SEO data API Now you get keyword volume, scores, and SERP data. 3️⃣ Search for easy keywords Pick topics with good demand and weak competition. 4️⃣ Save the best keywords Export them to Sheets or keep them inside the tool. 5️⃣ Check page one Study what already ranks. Then make something much better. 6️⃣ Connect Claude or Hermes Use MCP so your AI agents can pull the SEO data. 7️⃣ Generate your content My system can create five articles from one click. 8️⃣ Run quality checks I use a 13-step SEO skill before publishing. Because “AI wrote it” is not a quality standard. It is an excuse. 9️⃣ Publish and track rankings No WordPress hopping. No 19 open tabs. No crying into your Ahrefs invoice. This turns keyword research, content, rank tracking, backlinks, and AI visibility into one simple system. Get a FREE SEO Strategy Session here: https://lnkd.in/eXz3JZ5Q P.S. Want the Open SEO guide, setup steps, AI prompts, keyword workflow, competitor checklist, rank tracker template, content pipeline, 13-step quality checklist, MCP setup, Docker command, lead generation plan, and full video tutorial? Comment SEO and I’ll send it over.

here's how the claude off-market system gets from a shell llc to a person you can actually call. the image is one deed, traced. every step is public record: - deed names an out-of-state llc, nothing to look up - state registry gives the registered agent and, separately, the officers - the registered agent is a service address, not an owner. most people stop there - an officer's address matches the mailing address on the deed. two records, one name - search the registry again by that officer and their other entities come back - one human, a portfolio, and a name you can go find that trace is the whole job. anyone can pull an absentee-owner list. almost nobody gets from the entity on the deed to the human behind it, and that gap is where most off-market outreach dies. the number i keep hearing on calls is that skip-trace vendors come back with low accuracy, an llc has no site and no staff to find. so you either do the registry work by hand, parcel by parcel, or you don't do it at all. this reads the chain across a whole county and hands you the owners worth calling, evidence attached to every name. i put the whole method in a free pack. four agent files you install: the sourcing agent that owns the run, a skip-trace analyst that refuses to name anyone without a cited record, a valuation analyst, and an outreach writer. paste them into a claude project, claude code, chatgpt or codex and they run. comment 'OFFMARKET' and make sure we're connected, i'll send you the link. Lucas

Connect CLAUDE to LinkedIn in just a few steps. One MCP. It can pull leads, write DMs, and run your outreach for you 👇 There's a connector that plugs Claude straight into LinkedIn: 55 tools for accounts, sequences, prospects, messaging, and AI features. Just a few steps, and you're set. Then Claude becomes your FULL outbound team. Here's what it can do: 1/ Pull prospects straight from a LinkedIn search, Sales Navigator, Recruiter Lite, a post's comments or reactions, a Group, an Event, or a CSV. 2/ Set quotas, sending hours, and blacklists per account so nothing gets flagged. 3/ Build a full sequence: connection request, follow-up DM, voice note, video, InMail, whatever fits. 4/ Write DMs with merge tags like {{firstName}} and {{companyName}}, pulled straight from each prospect's profile. 5/ Generate an AI icebreaker for every prospect based on their recent activity. 6/ Clone your voice or build a video avatar, then send personalized voice and video messages at scale. 7/ Read and reply to your inbox, tag hot leads, and pull daily stats on every push. If you want it just let me know :)

Your LinkedIn profile might be costing you interviews. Here's how Claude can fix it. First, install the Claude Chrome Extension. Then open your LinkedIn profile and launch Claude from your browser. Now paste one prompt. Claude audits your entire profile, including: ✓ Headline ✓ About section ✓ Experience ✓ Skills ✓ Featured section ✓ Profile photo ✓ Banner Then it tells you exactly what needs to improve. Even better, it rewrites each section to make your profile more attractive to recruiters. No guessing. No generic advice. Just personalized recommendations based on your profile. Whether you're looking for a new job or growing your personal brand, this is one of the fastest LinkedIn upgrades you can make. Comment LINKEDIN and I'll send you the exact prompt.

I open Claude before I open Figma most mornings. ☕ Not to generate ideas. To interrogate the ones I already have. Three real moments from this week: 1. I was finishing a case study. Read it back. Felt thin. I pasted it into Claude and asked: "What would a skeptical hiring manager not believe here?" Three weak claims. Fixed before it went live. No second draft needed. 2. I was fact-checking a design guide before publishing it. Asked Claude to verify every example against the actual product. Two were wrong. Caught in minutes, not after someone else pointed it out. 3. I had three directions for a layout and couldn't pick. Ran all three past Claude, asked which one would confuse a first-time user. One clear answer. Moved on instead of sitting with it for an hour. This isn't about doing less work. It's about not redoing it. Using Claude to catch the problems early is the same instinct. Just faster. If you want the exact prompts I use to work this way: 1. Like this post 2. Comment "PROMPTS" 3. I'll DM you the list (connect first) P.S. Reposts for priority access

I've built a list of pure access. Access to the most active investors. And the biggest brand names in the VC space. Thought I'd share it the founders willing to take risks, and willing to put in the effort to follow a certain system. With this system, you'll get rejection. That's unavoidable. But you'll also get meetings. That's the goal. Once you get the meetings, you need to make sure you're ready. That's also what this system helps you with. The investors list is the first problem I had to solve, and that's the first part I can just hand over. So here you are. Europe, 1,383 funds across 31 countries. United States, 1,039 firms. Australia and New Zealand, 1,242 firms. I'll provide intel on what they actually fund, so you can tell whether you are in scope before you open anything: Deeptech is the largest category on both sides of the Atlantic. 618 firms in Europe, 695 in the US. AI, 495 in the US alone. Climate, 346 across Europe. Healthtech 400, robotics 345. Australia and New Zealand is a different animal. Real estate, wealth management and fintech lead there, and climate sits at 46. Which is worth knowing before you spend a fortnight on it. If you are a climate hardware founder, your round is not in that file, and I would rather tell you that here than let you find out in week three. Now the part I want to be straight about. The list was never the hard part. Names are the easy half of a raise. The hard half is working out which partner inside a firm signs at your stage, what to open with so the first email gets answered, and how to keep fifteen live conversations moving without dropping any of them. That is the whole reason I worked hard to put together a platform to crack access and get you ready for those meetings. Comment BOOM and I will send you the list and the system.

Here Are My 100 Best Claude Agents To Run Your Entire LinkedIn. Get Them Below For Free! 👇 When used correctly, Claude can run your whole LinkedIn like an operation. So I went ahead and built 100 agents, one for every job a real LinkedIn team would do. This will help you with:  → PROFILE & POSITIONING  → CONTENT STRATEGY  → POST WRITING  → ENGAGEMENT & COMMENTS  → OUTREACH & DMs  → LEAD GENERATION  → ANALYTICS & REPORTING  → VISUAL & MEDIA  → NETWORKING & RELATIONSHIPS  → OPERATIONS & MANAGEMENT 10 departments. 100 agents. Your whole LinkedIn, run like a system instead of a scattered task. And I'm giving the entire system away for free. Free access below. 👇

10 Claude Code loops for GEO Each manages an army of 10 sub-agents 👇 GEO = getting cited by ChatGPT, Perplexity, and AI Overviews. One loop = one prompt on a schedule: 1/ The AI-citation tracker loop Sub-agents each query one engine, log where your brand gets cited and where a rival does instead Your share of voice, every morning 2/ The prompt-coverage loop Each sub-agent takes one buyer question, checks if the answer names you Merged into the list of prompts you're invisible on 3/ The competitor-mention loop Sub-agents pull the sources AI engines cite for your category Shows the pages earning the citations you want 4/ The answer-gap loop One sub-agent per topic, finding questions AI answers badly about your space The content briefs that win the citation 5/ The llms.txt loop Sub-agents generate and validate the llms.txt and structured facts engines actually read No plugin, no dev ticket 6/ The entity loop One sub-agent per key entity. Checks how ChatGPT describes your brand, flags what's wrong Fix the model's mental model of you 7/ The source-authority loop Sub-agents map which third-party pages AI trusts for your category The Reddit threads and roundups worth being in 8/ The freshness loop Watches every engine. Flags the day your citation drops out of an answer 9/ The content-decay loop Each sub-agent adopts a slipping page and rewrites it to be the quotable answer 10/ The daily visibility loop Citation share pulled into a sheet every morning That's the $99/mo tool, gone None of this is hard — most SEOs just never script it Setup is one prompt per loop. Then they run without you Comment "LOOPS" and I'll DM the setup guide.

The Ultimate Claude CMO Guide is here. The full org chart for a marketing team in 2026 👇 The setup most teams will be running by 2030, pulled from the shift already underway: marketing output is growing about 4x faster than headcount. What's inside: Positioning Researcher → analyzes ICP, competitors, and market gaps so your messaging hits a real nerve instead of sounding like everyone else Content Strategist → pulls search demand, audience signals, and competitor content gaps to build an editorial calendar grounded in data Copywriter → drafts LinkedIn posts, blog intros, newsletters, and landing page copy in your voice Repurposing Engine → takes one long-form piece and turns it into 8-10 assets across LinkedIn, X, email, blog, and short-form video scripts SEO & AEO Optimizer → handles keyword mapping, metadata, heading structure, and the citation signals that get your content surfaced by AI search engines Distribution Planner → maps every piece to the right channel, format, and posting window so nothing sits in a Google Doc collecting dust Performance Analyst → tracks what's actually driving pipeline, flags what to cut, and recommends where to double down Lead Magnet Builder → converts your best content into downloadable assets that capture emails and qualify buyers automatically Competitor Intelligence Monitor → runs weekly to track competitor content moves, messaging shifts, and gaps you can exploit before they close What you get when all 9 work in sync: → A positioning doc you can actually use → Content that targets real search demand → One piece of content multiplied across every channel → SEO and AI-engine visibility baked in from the start → A distribution system that runs whether you're online or not → Clear signal on what's working so you stop funding dead channels → A lead magnet funnel capturing emails on autopilot → Competitive intelligence every Monday before your week starts You can set it up today. Save this post so you don't lose it. C

I review 9 P&L statements every month. It’s something I enjoy doing as a fractional CFO, but for most founders and entrepreneurs it feels like a chore. So I built a Claude plugin to do the heavy lifting. It connects directly to your QuickBooks (or you can upload your financials) and here's what you get: - A monthly summary of what happened and what it means - The handful of KPIs that actually matter - Revenue trends and a cash bridge showing where the money went - Specific, prioritized recommendations - Tax planning prompts to bring to your CPA Comment or shoot me a message if you want to try it out!

The Agency Owner’s Guide to Claude is here. 7 skills, scheduled audits, the exact prompts 👇 28 pages, free. The setup I’d hand an agency owner trying to scale beyond themselves, pulled from the systems I used to build multiple agencies past $100k/month. What’s inside: 1/ Build your Agency Operating System Turn your delivery, hiring, capacity, onboarding, and reporting processes into one system Claude can reference every time. 2/ The agency brief Claude reads every time Your offers, margins, team structure, client expectations, capacity limits, and operating standards — written once so you stop repeating yourself in every prompt. 3/ The 7 skills that remove operational bottlenecks Capacity planning, hiring scorecards, client onboarding, delivery audits, churn analysis, margin tracking, and weekly leadership reporting. 4/ The audits Claude runs on a schedule The weekly checks that flag overloaded teams, slipping deadlines, at-risk clients, shrinking margins, and work that still depends on the founder. 5/ The client delivery teardown Map every step from signed contract to final result, identify bottlenecks, and find the tasks slowing down your team. 6/ The weekly agency report, written for you Revenue, capacity, delivery risks, client health, margins, and the three priorities you need to address before Monday’s team meeting. 7/ The exact prompts Copy-paste prompts for every audit, including hiring, onboarding, delivery, retention, profitability, and removing yourself from daily operations. Comment “AGENCY” and I’ll DM the guide. Connect with me first so it sends.

I'm building a WhatsApp community for agencies and service providers to help them get high quality clients from India and international markets. Whether you're a marketing agency, software development company, design studio, recruitment firm, consulting agency, or any other service provider, this community is designed to help you connect, collaborate, and grow. If you're interested in joining, Follow me, Send a connection request and comment "Client" below, and I'll DM you the community link.

FREE CFO-Level Finance Course – Limited Time Opportunity! In today’s world, a degree alone is not enough… Companies are looking for real, practical skills — especially in Finance, Valuation, and Decision-Making. If you are: A Finance student 📊 A working professional looking for growth 💼 Or someone who wants to break into high-paying corporate roles 🚀 Then this opportunity is for YOU 👇 💡 Introducing: Financial Modeling, Valuation & DCF: CFO-Level Mastery – AI This is NOT just another basic course… This program is designed to teach you the same skills used by top CFOs and finance professionals. 📚 What You Will Learn: ✔ Financial Modeling from scratch ✔ DCF (Discounted Cash Flow) Valuation ✔ Real-world company analysis ✔ Excel + AI tools integration ✔ Practical case studies ✔ CFO-level thinking & decision-making 🎯 The Best Part? ✅ 100% FREE (Limited Time Only) ✅ Certificate upon completion 📜 ✅ Job-ready, practical skills ⚠️ Important Note: This free access is available for a limited time only After that, the course will become paid 💰 👉 So don’t wait — grab it now 📩 How to Enroll? Comment “INTEREST” below Or DM me with the course name: 👉 Financial Modeling, Valuation & DCF: CFO-Level Mastery – AI I’ll personally share the access with you 🔥 🧠 Final Thought: If you don’t upgrade your skills today… Someone else will take your opportunity tomorrow. But if you take action now… You can become a decision-maker in the corporate world 💼 👉 Don’t overthink. Just start. Comment “INTEREST” and begin your journey today.

In Feb, I applied Alex Hormozi's lead magnet framework to LinkedIn.  ​ Now in August, I went from:  ​ - 1.5k -> 5.8k followers - Booking 0-1 calls/mo -> 5-15/mo - Getting ~1k -> ~15-50k impressions/mo ​ Before, I didn't realize how saturated the feed was with content.  ​ Because nowadays... ​ LinkedIn is a WALL of "Comment X and I'll DM you" posts (and 'thought leadership' content in general). ​ Everyone has figured out that lead magnets are the method. ​ Yet, it's becoming harder and harder to stand out with it.  ​ If you're posting "free PDFs" on LinkedIn and nobody is commenting for them, you already know what I'm talking about. ​ → Your ICP used to comment on every giveaway post. Now they scroll past yours without blinking. → Your lead magnet sounds like the same "Ultimate Guide" as the 8 other people in your niche → You're giving away a google doc that took you 20 minutes to make and wondering why nobody cares → The leads that DO come in are garbage because your magnet attracted everyone instead of your actual buyer ​ Hormozi's framework is what separates the top performing lead magnets that go viral + book calls from the ones getting buried.  ​ His data shows lead magnets beat direct offers on overall ROAS AND scale better.  ​ But ONLY when yours has real value and real differentiation. ​ That said... ​ I just put his ENTIRE system into a free Notion kit. ​ Inside: ​ 1) Hormozi's real ROAS data on lead magnets vs direct offers 2) The 3 Value Vectors: Speed, Risk, Ease (so your offer stops being interchangeable) 3) The Splinter Strategy: how to give away something that actually costs you to deliver 4) My naming formula for lead magnets that cut through a saturated feed 5) Plug-and-play giveaway post template ​ PS: Everyone's posting lead magnets now. The question is whether yours stands out or gets buried. This kit is how you make sure it stands out.

Our slack group Free backlinks opens for 5 more people. If you want to apply there are conditions. ⬇️ Comment "slack" and send me a Linkedin invitation with a message. ⬇️

The family office you most want an intro to is the one that will never invest in your deal. The Dells and the Kroenkes develop their own towers and buy their own ranches. They do not write a check into someone else's $50 million deal, and they never will. The family offices that actually back operators are smaller and quieter. They co-invest $5 to $15 million alongside GPs, one deal at a time. And they are almost impossible to find, because most run their money through a holding company named after the family, with no website. So I mapped the ones that co-invest. Over 300 of them, confirmed active in US real estate, each with the person who signs. The family behind a garage-door-opener fortune is now a JV equity partner on mid-size commercial. A Utah office writes $5 to $15 million a deal. A multifamily shop is raising a $150 million fund it co-invests out of. None of them run ads, and none are on the databases you already pay for. It is searchable by what a raise actually turns on: asset class, geography, and check size. Filter it to co-investors doing multifamily in the Sun Belt and 77 families come back, with the deals they have backed and the person to call. 3,300 family offices in all. 13,000 named decision makers. 970 confirmed buying US real estate, 308 open to co-investing with operators. For contact you get a company email, a LinkedIn, or the firm's website, not always the direct line. It updates when they file with the SEC and gets re-checked monthly. If you want in, comment "family office" and I will send you early access. If we are not connected yet, add me first, LinkedIn does not deliver messages between strangers.

🚨 Indian Army is Inviting Applications – Data Analyst Internship 2026 🏢 Organization: Indian Army 💼 Role: Data Analyst Intern 📍 Location: Delhi 🕒 Internship Type: Full-Time 📅 Duration: 75 Days 🚀 Start Date: 1 September 2026 💰 Stipend: Up to ₹75,000 📅 Last Date to Apply: 15 August 2026 💬 Comment "INTERESTED" and DM me. I'll share the official application link with you. 📢 I post verified internships, fresher jobs and early-career opportunities every day. 📌 Join WhatsApp Group: https://lnkd.in/ge9AGqyg 👉 Follow Kalaiyarasan P for daily career opportunities. 🚀 Apply before 15 August 2026 and don't miss this opportunity! Disclaimer: This post is shared for informational purposes only. Organization names, logos, trademarks, stipend details and application links belong to their respective owners. I am not associated with or endorsed by the Indian Army. #IndianArmy #DataAnalyst #Internship #DataAnalytics #Hiring #Freshers #Internship2026 #DelhiJobs #CareerOpportunities #JobAlert #Students

I built 5 Claude Skills trained on the world's best LinkedIn minds. Lara Acosta. Jake Ward. Matt Gray. Matt Lakajev. Michel Lieben. Built specifically for B2B founders who want 20-30 booked calls a month from LinkedIn. Most founders write posts that get likes and comments. And wonder why none of it turns into booked calls or closed deals. These 5 Skills turn the exact frameworks that built these creators' followings into plug-and-play post generators built to convert readers into calls on your calendar. Here's what's inside: Lara Acosta - The Story Skill ↳ Paste your raw experience into Claude and get a post built around her personal storytelling framework so prospects see you as a human. Jake Ward - The Hook Skill ↳ Paste your post topic into Claude and get three scroll-stopping opening lines built on his attention mechanics so the first sentence grabs attention. Matt Gray - The Systems Skill ↳ Paste your expertise into Claude and get a value post structured on his proven founder-content system so authority builds with every post. Matt Lakajev - The One-Liner Skill ↳ Paste your big idea into Claude and get it distilled into his short, punchy format so complex thoughts land in five seconds instead of fifty. Michel Lieben - The Authority Skill ↳ Paste your contrarian opinion into Claude and get a post built on his thought-leadership framework so it actually changes how people see you. Here's how it works: → Copy the 5 Skills and put them into Claude → Paste in your story, topic, or expertise → Get a ready-to-post draft in under 60 seconds → Drop it straight into your content calendar and publish Every post this system generates is built to move readers toward a call. This is exclusive. But I'm giving away the complete resource for free! PS: Repost this to get it before everyone else.

I booked 951 meetings in 30 days for a client. Claude + LinkedIn + my VSR method just solved outreach ↓ Here's the method behind it: → We run 100 Virtual Sales Reps for a single client → Together they send 50,000+ connection requests in a month → That's a volume no founder can touch sending from one seat Most people use Claude to write their posts. That's 1% of what it can do. The other 99% is the quality layer that turns all that volume into booked calls: → Claude writes every first message, tuned to each person, so none read like a template → It handles every reply in minutes, so warm leads never go cold → It runs the follow-ups, where most of the meetings actually come from → It sorts the inbox each morning, so the team works the hottest conversations first 100 reps for the volume. Claude for the quality. That's how one client booked 951 meetings in 30 days. Want the exact playbook we run it with? → Comment "PLAYBOOK" → Connect with me so the DM lands ♻️ Repost for early access.

Claude completely changed how we run real estate underwriting. But here's what almost nobody talks about: The top 0.1% of operators aren't using Claude as a chatbot. They're using it as the brain of a full underwriting stack. These are the 6 use cases we see elite investors running inside Claude every single day: -> Market Pulse Layer (pulling live rent comps, vacancy rates, and absorption data — not stale exports) -> Demand Inference Engine (behavioral demand mapping: drive-time analysis, city anchors, how tenants actually choose where to live) -> Scenario Stress-Tester (50+ value-add strategies tested automatically — not just your base case) -> Comp Intelligence (identifying true competitors based on real behavioral overlap, not just zip code proximity) -> Financial Model Generator (full Excel model with all key tabs, editable assumptions, ready for LP review) -> Red Flag Detector (100+ algorithms running in parallel — surfacing what a junior analyst would miss on page 47 of the OM) The whole thing runs inside what we built at Titleman : INPUT → DATA → INFERENCE → MODEL → OUTCOME You drop in an address, a deck, or a raw Excel file. The AI team figures out the rest. Under 20 minutes. Full institutional-grade output. Most people using Claude for real estate are asking it to summarize an OM. The top 0.1% are feeding it proprietary knowledge bases, custom investment criteria, and letting it run 100+ algorithms without being asked. That's the gap. Not the tool. The operating model around the tool. Want to see exactly how the elite stack is built? Comment "EDGE" and I'll send you the breakdown. Connect with me first so I can DM you.

I built five Claude Skills that produce a LinkedIn message sequence, an ICP target brief, a set of offer angles, an objection script, and a weekly campaign plan in three minutes each. I'm giving the whole stack away. Most B2B founders burn a week building outbound that should take an afternoon. Targeting. Messaging. Follow-ups. Booking. The reason isn't complexity. It's that nobody's rebuilt the workflow since the copy-paste pitch. So I rebuilt mine. Here's what's in the pack: → A 5-prompt library that runs each skill in any Claude account (no API, no code) → The five .skill files themselves, for Cowork users who want them loaded → Sample outputs from each skill: real message sequences, ICP briefs, and campaign plans → A side-by-side: the DIY version vs the skill output for each workflow → The decision tree for which skill to run when → The exact inputs each skill needs (so you don't waste prompts) What used to take a week takes three minutes. Want all the skills? 1. Comment "STACK" below. 2. Make sure we're connected so the DM actually lands. ♻️ P.S. Repost for priority access.

Every AI outbound post promises a bot that books meetings while you sleep. I booked 12,000 in a single year before AI existed. Here's what AI can do for you: → Rank your accounts by fit and buying signals → Find a real trigger and one usable detail per account → Write the openers and the full sequence → Draft the response that moves "not now" toward a call → Surface the threads that went quiet, with the next message ready → Sort your inbox into interested, objection, and not now → Write the weekly pipeline report in plain English That's a week of work gone. I use all seven. What AI can't do: • Run the outreach • Manage deliverability • Keep your calendar full while you're buried in client work AI collapsed the thinking and left the doing exactly where it was, which is why so many founders now have brilliant messaging but an empty diary. So I wrote down the map. What to hand over, what to keep, and how to tell the difference before you waste a quarter finding out. Inside the guide: → The seven jobs Claude does well, with the prompt for each → The three it can't touch, and why that's structural rather than a model problem → The 4-question test for sorting any outbound task yourself → The volume maths behind those three, so you know what the human half actually costs → The booking system we run on top: targeting, the offer, the ask, and the follow-up day counts → The six weekly numbers that tell you which part is broken → The three things founders hand to AI that quietly cost them meetings One of our clients booked 951 meetings in a month. AI wrote a lot of it. It didn't book one of them. Most founders don't need to be told AI is powerful. They need to be told where it stops, before they build their pipeline on the assumption that it doesn't. Want the guide? 1. Comment "GUIDE" 2. Make sure we're connected so the DM lands. P.S. Repost for priority access

I built a Claude-powered outbound team for B2B founders. And I'm giving it away free. Most founders use AI to rewrite emails and clean up LinkedIn posts. The smarter play: use it to build the meeting-booking system your sales process is missing. What I built: → 7 specialized Claude prompts → 1 Master Meeting Engine prompt that ties them together Not generic "act as an SDR" rubbish. A full outbound stack covering: → ICP mapping (who's worth messaging, who's a waste of time) → Offer sharpening (so the outreach earns a reply) → Hooks and openers (the first line that gets a response) → Conversation starters that don't read like a pitch → Objection handling (turning "not now" into a call) → Follow-up sequencing (reviving threads that go quiet) → Booking conversion (moving replies onto the calendar) Each prompt owns one job. Give it your offer. Ask the question. Get the kind of answer most founders pay a consultant four figures for. Will it book the meetings for you? No. It can't run the outreach. It can't manage deliverability. It can't keep your calendar full while you're in client work. But for the founders flying blind on LinkedIn, it hands you the strategy layer behind 1,500+ meetings booked a month. You get the full kit. All 8 prompts. The questions to ask. The numbers to plug in. The order to run them in. Use it this week. Want it? Connect + Comment "TEAM" I'll send it over. P.S. Repost for priority access ♻️

25,000 AI agents. That is what McKinsey says it is building, to work alongside roughly 40,000 people. Read that ratio again, because it is the most honest thing a Big Consulting firm has said about its own product in a decade. They are not automating the judgment. They are not automating the relationships, or the boardroom, or the political work of getting a decision made. They are automating the analysis. Which tells you exactly what the analysis was worth. For thirty years the analytical layer was the expensive half of the invoice. The interviews, the benchmarking, the market sizing, the maturity model, the 80-page synthesis. That is the half they are handing to agents first, because that is the half a machine can do. I built the same layer and gave it away. 105 prompts, across 21 skill families: → Problem Framing and Issue Trees → Market Sizing and Profit-Pool Analysis → Operating-Model Design → Transformation Roadmaps and KPI Architecture → Executive Narrative, Decks and Board Memos → The Reusable Operating System Each prompt is written the way the deliverable is actually structured, not as a one-line question. You paste it, you get the section. The full map is 21 skill families, sequenced the way a real engagement runs: frame the problem, build the fact base, size the market, weigh the options, design the operating model, plan the waves, name the risks, and write the narrative that carries the number into the room. That sequence is the part McKinsey genuinely got right, which is why the guide keeps it. The fastest way to test whether any of this is real: take one decision you already have in flight, run the three prompts that match it, and put the output next to the last analysis you paid for. That comparison settles the question better than anything I can write here. Here is the part that matters more than the prompts. When the analysis costs nothing, the firms that sold analysis have to sell something else. Watc

The Complete Claude for Finance Kit go from zero to Claude-powered 👉 Comment "Claude" and I'll send it to you for free I'm planning to limit this to the first 100 comments so be quick! This is the most complete Claude resource I've put together for finance professionals This kit can save you 10+ hours every single week and it covers everything I wish I'd had when I started Most finance professionals know Claude exists. But no one gave them a structured way to actually use it for real finance work. That's what this kit is. Inside the kit, you'll find: 1. Free Claude for Finance Course (15 lessons, zero to confident in Claude) 2. Top 100 Claude Tips (Excel, Cowork, Dashboards, and best practices) 3. The Mega Claude Collection (every Claude resource I've built) 4. The Claude Finance Playbook (step-by-step prompts you can copy and use today) 5. The Claude Checklist (so you never start a Claude session the wrong way again) Here's what this kit actually helps you do: → Build financial models in Excel using plain English — no formulas from scratch → Use Voice Mode to work on finance tasks from your phone → Create interactive scenario dashboards you can update in real time during meetings → Automate repetitive month-end tasks with Cowork → Apply security and quality control standards when using Claude with financial data I've trained 70,000+ finance professionals on AI, and Claude is the tool I reach for most. Companies pay me $20,000+ for workshops where I teach this exact material. This kit is free. 👉 Comment "Claude" to get the full kit + a free seat to my upcoming AI Finance Masterclass (P.S. Spots are limited not everyone will get it) Which use case would you start with first? 👇 ♻️ Repost to help a colleague who keeps putting off learning Claude

Upwork Proposal writing AI tools are a waste of f**king time. You want clients? Write “What’s in me proposals” Stop crying that Upwork is saturated, no more clients. I used Upwork for 7+ years, and teach 50+ NEW students every month. 50 students = 50 different profiles in different niches. And, generated over $400k+ for my students. These new 23 year old kids now tell you to use tools for writing proposals. Don’t f**king listen to them. You will suffer a lot. If you really want to sell your service on Upwork, without wasting connects… Simply submit 3 hyper personalized proposals each day, and start winning $2k+ clients. This is not a joke, my students are sending proposals, and printing money. And if you need some help doing it? My DM is always open for you. Comment ‘Upwork Deals’

63 Finance Workflows. Every CFO Should Automate First. (Comment "FINANCE WORKFLOWS" to get it FREE.) This is one of the most practical finance AI resources I've put together. It covers 63 finance workflows where Claude can help… from period-end close and reconciliations to FP&A, treasury, board reporting, compliance, and M&A. You can have it for free. (Comment "FINANCE WORKFLOWS" and I'll send you the PDF.) For every workflow, you'll learn: 1. What Claude should help with 2. Why it matters 3. When to use it It's the same framework I use to: ✦ streamline period-end close and account reconciliations. ✦ improve budgeting, forecasting, and financial planning. ✦ build executive-ready board packs and management reports. ✦ strengthen treasury, risk, and compliance workflows. ✦ support investment analysis, business cases, and M&A decisions. Once you know where AI belongs, implementation becomes much easier. Want it? 1. Like this post. 2. Comment "FINANCE WORKFLOWS". 3. ♻️ Repost for priority access. And I'll send you the PDF.

I built a complete LinkedIn GTM System. And I'm giving the entire resource away for free. 👇 I built a collection of specialist LinkedIn GTM frameworks to support every stage of building demand, authority, and inbound pipeline on LinkedIn. It covers: → Profile positioning → Content strategy → Audience research → Hook creation → Lead magnet creation → Post writing → Carousel strategy → Comment strategy → Founder branding → Inbound DM systems → Conversion optimization Inside, you'll find 60+ LinkedIn GTM resources, each designed to solve a specific challenge across the entire content and demand generation process. The goal isn't to post more content. It's to build a predictable inbound engine that consistently attracts the right buyers, builds trust at scale, and generates qualified opportunities. Whether you're a founder, agency owner, consultant, or B2B operator, you'll find frameworks you can implement immediately. I'm giving away the complete resource for free. Free access below. 👇

I just built a LinkedIn Ads MCP prompt library for Claude. What I noticed is that once ppl connect their LinkedIn Ads to claude they don't know what to ask. So I started writing down the prompts we use internally to investigate accounts, find problems and prepare reports. It has now turned into a pretty extensive library covering things like: •⁠ ⁠Running a complete Monday account review •⁠ ⁠Creating a Friday commercial report for your client or boss •⁠ ⁠Comparing directly sourced and influenced pipeline •⁠ ⁠Seeing which companies engaged with your ads before becoming a deal •⁠ ⁠Uploading an ABM list and checking which target accounts were actually reached •⁠ ⁠Finding companies showing new intent •⁠ ⁠Analysing professional demographic waste against your ICP •⁠ ⁠Finding ads beginning to fatigue •⁠ ⁠Comparing Thought Leader Ads by author and post •⁠ ⁠Analysing lead forms and lead quality •⁠ ⁠Reviewing targeting, exclusions, bidding, audience expansion and LinkedIn Audience Network •⁠ ⁠Preparing for your next client or internal meeting •⁠ ⁠Turning everything into a clean dashboard or client-ready report The prompts also tell the Kiin Intelligence to include direct links to every campaign, ad, lead form, Thought Leader post or CRM record it mentions. So you can go directly from: “This ad is fatigued.” To the actual ad that needs reviewing. Or from: “This company is showing intent.” To the campaigns they engaged with and the opportunity sitting inside HubSpot. I’ve tried to make every prompt focused on a real job rather than just giving you 30 slightly different ways to say “analyse my LinkedIn Ads.” I’m giving the complete library away for free. Comment LinkedIn Ads below and I’ll send it over.

I built an AI UGC automation in arcads AI that increased my CTR by +58%. Check this out ! After many requests, here is the link to the workflow : https://lnkd.in/eqCMEWdS Last week, I generated 47 UGC videos with this workflow. Here’s the workflow: 1️⃣ Train the AI on your voice & face You can choose from 1,000+ AI actors. Or create a custom one that looks and sounds like you. 2️⃣ Generate videos with ready-to-use JSON prompts The prompts are built from top-performing creatives. They define the style, subject, camera angle, mood, format, and hook. UGC videos + statics generated in minutes. 3️⃣ Repurpose across every platform TikTok. Instagram Reels. YouTube Shorts. One asset. Multiple formats. The results? Launch time cut by 90%. 10x more creative angles tested. Engagement up +65%. Want the exact Arcads workflow? **Comment “WORKFLOW” below 👇

10 Claude Code loops for GEO Each manages an army of 10 sub-agents 👇 GEO = getting cited by ChatGPT, Perplexity, and AI Overviews. One loop = one prompt on a schedule: 1/ The AI-citation tracker loop Sub-agents each query one engine, log where your brand gets cited and where a rival does instead Your share of voice, every morning 2/ The prompt-coverage loop Each sub-agent takes one buyer question, checks if the answer names you Merged into the list of prompts you're invisible on 3/ The competitor-mention loop Sub-agents pull the sources AI engines cite for your category Shows the pages earning the citations you want 4/ The answer-gap loop One sub-agent per topic, finding questions AI answers badly about your space The content briefs that win the citation 5/ The llms.txt loop Sub-agents generate and validate the llms.txt and structured facts engines actually read No plugin, no dev ticket 6/ The entity loop One sub-agent per key entity. Checks how ChatGPT describes your brand, flags what's wrong Fix the model's mental model of you 7/ The source-authority loop Sub-agents map which third-party pages AI trusts for your category The Reddit threads and roundups worth being in 8/ The freshness loop Watches every engine. Flags the day your citation drops out of an answer 9/ The content-decay loop Each sub-agent adopts a slipping page and rewrites it to be the quotable answer 10/ The daily visibility loop Citation share pulled into a sheet every morning That's the $99/mo tool, gone None of this is hard — most SEOs just never script it Setup is one prompt per loop. Then they run without you Comment "LOOPS" and I'll DM the setup guide.

Nano Banana + MakeUGC + Seedance + Veo 3 = a content factory that runs itself. ‎ One prompt. 100+ ad variations. Launching every day. ‎ Honestly, it feels like Meta ads in 2014. ‎ Different hooks. Different angles. Different creatives. ‎ All generated in minutes. ‎ Here's the stack: ‎ → Fastmoss for competitor research → Claude for hooks, scripts and creative strategy → Nano Banana for image generation → MakeUGC for creative workflows → Seedance + Veo 3 for AI UGC video ‎ No creators. No product seeding. No production costs. No waiting weeks for content. ‎ Just new ads launching every day. ‎ This replaces a creative team that would normally cost $50k–$100k/month. ‎ Most brands are still trying to make more content. ‎ The ones winning are building systems that make it for them. ‎ Comment "UGC" and I'll send you the complete workflow.

3 months ago, these 7 outbound plays required a GTM engineer to run. Now they are a few prompts away inside Apollo: Apollo's AI Assistant changed what is possible here. You describe what you want, and it builds the workflow and the sequence for you.Step by step. No Clay. No n8n. No technical setup. We took our 7 most effective signal-based outbound plays and converted each one into three ways you can use them: ↳ Mode A: Apollo AI Assistant: paste the prompt, Apollo builds and launches the play ↳ Mode B: Claude MCP: run the same play from a Claude chat, one step at a time, you approve each step to ensure quality ↳ Mode C: Evergreen: finds new accounts automatically, sends you a list of key decision makers to approve before anyone gets an email The 7 plays: ↳ 1. Hiring Signal Pipeline ↳ 2. Fresh Funding Radar ↳ 3. Competitor Takedown ↳ 4. Job Change Tracker ↳ 5. Wake Up the Dead 🧟 ↳ 6. Buying Intent (14,000 Bombora topics and over 1,600 LeadSift topics) ↳ 7. Website Visitors Historically, these plays were too complex for most GTM teams to execute without dedicated engineering support. Now each one is 2 to 3 prompts away. We built this because the teams we work with kept asking the same question: Can we run signal-based outbound without building a Clay infrastructure first? The answer is yes. And we put it all in one Notion page. Comment "APOLLO EVERGREEN" and I will send you the full playbook. (make sure to send me a connection request, so I can send it to you) P.S. Each play includes a copy-paste prompt for Apollo, a Claude MCP version, and an evergreen workflow option you can automate.

A two-person fund runs $50M in real estate. Last quarter, closing distributions took them one question and about a minute. They asked their system: how much do we distribute this quarter? It pulled the live property numbers, reconciled the books, ran the waterfall, and had 12 investor payments ready. $42,000, to the dollar. They reviewed it and hit approve. Here is why that matters. Being a sponsor is two jobs. You chose the first: find deals, raise capital. The second chose you: investor relations, distributions, reporting, tax-time data. For most GPs that second job is scattered across Excel, the inbox, the PMS, and the books. Nothing talks. Every answer means retyping the same numbers from one place to the next. And every new deal quietly caps how many you can run. This fund did one thing differently. They connected the whole business once, then put Claude on top of it. Every property, every investor, the full capital stack. Now they just ask. "How is the portfolio doing?" Occupancy and NOI across every property. "Draft the Q2 investor update." Written from the live numbers. "Get the CPA everything for tax season." One package, one click. The part that matters most: it prepares, they approve. Every number traces back to the property report or the ledger it came from. Nothing moves until a human says so. The payoff is simple. Their back office went from most of the week to a fraction of it. Two people now run like ten. The GPs who wire this up are about to out-operate the ones still retyping numbers between spreadsheets. I put the whole thing into a playbook. How a two-person fund runs $50M on Claude: the full stack, the exact workflow, and every question you can ask it. Want it? Like this post Comment "COMMAND" Connect with me (we have to be connected for me to send it)

Over the last few months, I've been teaching Claude how experienced accountants actually build IFRS Group Consolidation models. Not by feeding it generic accounting theory. But by iteratively refining prompts, testing outputs, correcting mistakes and giving it practitioner-quality examples until it consistently produced the standard I was looking for. The result? Claude can now generate a complete IFRS Group Consolidation pack covering both: ✅ IFRS 10 Subsidiary Consolidation ✅ IAS 28 Associate (Equity Method) Not as a classroom illustration, but using the trial balance approach that finance and audit teams use in practice. The workbook it produces includes: • Goodwill calculations • Non-Controlling Interest (NCI) • Fair value adjustments • Intragroup eliminations • Unrealised profit eliminations • Equity accounting for associates • Consolidation journals • Consolidated Trial Balance • Statement of Financial Position • Profit or Loss • OCI • Changes in Equity • Cash Flows • IFRS disclosure notes • Automated proof checks Even better... I converted everything I learned into a reusable prompt and skill. Replace the company names, ownership percentages and acquisition details with your own group, and Claude generates the entire consolidation pack—including subsidiary consolidation and associate equity accounting—from scratch. This wasn't about seeing whether AI could produce a spreadsheet. It was about seeing whether AI could produce something I would actually trust enough to review as an accountant. I think this is where finance is heading. The professionals who know IFRS and know how to guide AI will have a significant advantage over those who only know one or the other. If you work in Financial Reporting, Group Reporting, Audit or FP&A, this pack will save you hours. Comment GROUP and I'll send you: ✅ The complete Excel workbook ✅ The reusable Claude prompt and skill Both are free. If you spot a better way to handle any consolidation adjustment, let me know. The stro

I've done consolidations for 10+ years. This one took Claude (Fable 5) minutes. Parent TB + Subsidiary TB → full group accounts. Not a summary. Not statements bolted together. The real thing, the way practitioners actually consolidate: Parent TB + Subsidiary TB → adjustment columns → Consolidated Trial Balance → full set of accounts. Here's what it produced 👇 📋 Complete trial balances for parent AND subsidiary — group chart of accounts, debits and credits casting to nil 🧮 Every consolidation working — goodwill (IFRS 3), net assets, NCI, group retained earnings, PUP, intercompany eliminations 📝 All consolidation journal entries — double-entered, cross-cast, linked live into the adjustment columns ⚖️ Consolidated Trial Balance — Parent + Sub + Dr/Cr adjustments, every column casting to zero 📊 Statement of Financial Position 📈 Statement of Comprehensive Income 🔄 Statement of Changes in Equity 💵 Statement of Cash Flows — including "acquisition net of cash acquired" 📚 Notes to the accounts — business combination disclosure, goodwill, PPE movement schedule, NCI, the lot All under IFRS 10, IFRS 3 and IAS 36. All with prior-year comparatives. All on live formulas — change one number in either TB and the whole group reporting pack updates. 30 self-checking proofs. Every single one ties. This is the working that keeps group accountants in the office until midnight at year-end. Claude built it the way a senior would — TB in, consolidated accounts out. Comment "CONSOLIDATE" and I'll send you the exact prompt + the Excel pack. #IFRS #Consolidation #GroupAccounts #FinancialReporting #ClaudeAI #Accounting #CFO #Fable5

Is AI creating 1 person marketing sub-teams? Yes. I saw this on CMO Show & Tell ft. ElevenLabs, Profound, Clay, Wealthsimple How marketers are using AI today: 🔸Experts + agents = 1 person sub-teams 🔸1 person teams running paid ads; podcasts 🔸Agents making 150 chatgpt ads in 15 min 🔸AI cutting podcast video & social posts 🔸AI SDRs improving conv in 30+ languages 🔸AI enriching & prioritizing leads 🔸Human SME still essential for design & QA The pattern across all four demos? AI allows experts to build agents to expand their impact. What's Next? I expect marketing teams to be ~30% leaner, powered by subject matter experts, who build and oversee agents across marketing sub-functions Paid, Content, CRM, Analytics. If you missed CMO Show & Tell and want the recording, drop a comment and I'll DM you. Thanks to Luke Harries (ElevenLabs), Nick Lafferty (Profound), Allaina A. (Wealthsimple), Jay Bhandari (Clay) for the demos and Jérémie Boulos & Lilian Wei Ling C. for organizing 🙏 #CMO #AI #Growth #Marketing

Everyone's using Claude Fable 5 for content It's dangerously good at Google Ads 👇 We connected it to Google Ads, GA4 and Search Console. What it does better: 1/ Finds your wasted spend Pulls search terms with spend and zero conversions over 90 days. Sorted by cost. Your negative list writes itself 2/ Mines search terms for new campaigns Clusters converting queries into tight ad groups by intent. A week of manual work done within an hour 3/ Writes RSA (Responsive Search Ad) assets from your own data Headlines built from the queries that actually convert, not brand guesses. Ad copy that matches real demand 4/ Reallocates budget Flags campaigns eating spend at low ROAS and where the headroom actually is. The budget meeting done for you 5/ Audits ad to landing page match Finds where the ad promises one thing and the page says another. The cheapest CVR (conversion rate) lift you'll get 6/ Rebuilds account structure Spots overlapping keywords, duplicate ad groups, campaigns cannibalising each other. Stop bidding against yourself 7/ Reports weekly Spend, CPA and ROAS moves plus 3 priorities. One Monday report. Know what moved before the client asks It doesn't recommend optimisations. It ships them. Comment below if you’d like the skill-pack for yourself and I'll DM you the setup guide ASAP.

I've been doing cold email outreach for close to a decade now and the biggest change in the last year is what "personalization" means. It used to be enough to scrape someone's name and company, stick it in the first line, and call it personalized. That worked for a while but it doesn't anymore. Everyone does it now and recipients can smell it instantly. Instead, I started scraping the prospect's entire website, blog posts, service pages, about pages, contact page, and feeding all of that into AI to summarize what each page is about. Then I take those summaries and use them to write the first few lines of my cold email so it reads like I spent 20 minutes going through their site. The icebreakers come out like "Hey Cali, love how L2 makes it easy to filter by acreage. Also a fan of your property update email option. Wanted to run something by you." That's the kind of opener that gets 5-10% reply rates because it doesn't sound like it was generated by a machine even though it was! One detail I learned building this: the small stuff in your prompt does way more than you'd expect. Having AI shorten company names (say "Mayo" instead of "Mayo Incorporated") and reference non-obvious pages instead of the homepage makes the whole output feel like a real person wrote it. I built the whole system in n8n and I'm giving the template away for free. 1. Comment "COLD" 2. Connect with me 3. I'll send it over.

We've built a free startup grant radar which scans your startup profile and matches it with a US/UK/EU grant in 10 seconds. 156 active grants in the database. Most founders raise equity but not many know they can get actual free money: SBIR grants, EIC Accelerator, R&D tax credits, cloud credits. How it works: → Tell it your region, sector, and stage → Watch it scan the full list live → Get a ranked shortlist of exactly what you qualify for, with real apply links Let me know in the comments if you want to get free access

We ran 1,240 LkdIn DMs and 310 cold email sequences through CLAUDE FABLE 5 to find what actually gets a reply. Not opened. Answered. It wasn't the copy. The pattern was in how much the sender already knew before writing a single word. Most outbound still targets on three inputs: job title, company size, funding stage. Those tell you who to contact. None of them tell you why that person would answer this week. The messages that got replies were built on a different layer: → Who just got hired, and who now controls the budget → The one problem that ICP is losing sleep over → How severe the pain is, and why → The posts, podcasts and newsletters they actually consume None of that sits in a filter. It sits scattered across hiring pages, org changes and comment sections, which is why most teams skip it and go back to volume. So we handed that part to FABLE 5 + One MCP. Skills that surface 50+ of these triggers per prospect, then a system that runs on top: 1. Pulls leads already showing buying signals, instead of a scraped list 2. Drafts the DM from what that person did last week, not from a template 3. Books in under 33 words, because nobody reads a pitch inside a DM 4. Runs the follow ups, so nothing sits on "seen" forever Same list. Same sender. Reply rates went from 1% to 2% cold, to 25% to 42% warm. Last week: 12 demos in 5 days, with Fable 5 and the MCP. The difference is intent. You're not interrupting a stranger. You're joining a conversation that person already started in public. It's all in one playbook: → The 4 DM scripts we use to book calls → The Claude prompts that write the opener, copy paste ready → How to set up the agents that surface warm leads every morning → The 4 week plan to get to 9+ calls a week Write “FABLE 5" and I'll send it over

Last week 108,000 people read my breakdown of Vista, the private equity firm that sends its own operators to live inside every company it buys. The reply I kept getting was a version of the same thing. That only works if you can afford a hundred-person operating group. So I built the version that does not need one. A portfolio operating layer, running DIRECTLY on Claude. No ops team, no data warehouse, no six-figure platform contract. What it does: → Takes your diligence pack and your value creation plan and turns them into a live 100-day operating checklist, with an owner and a date against every line → Puts every portfolio company on one schema, so revenue means the same thing in company three as it does in company eight → Reads the monthly reporting the moment it lands and flags what moved against plan, instead of waiting for somebody to assemble the board pack → Writes every engagement back into the same file, so the ninth company you buy inherits everything the first eight taught you That last one is the whole point, and it is the part Vista actually monetised. The manual is not the asset. The feedback into the manual is the asset. In most firms that knowledge lives in the head of the partner who ran the last deal. When they leave, it leaves with them. Where it breaks, honestly, because it does break: It is only as good as what you feed it. If your portfolio reporting is twelve inconsistent spreadsheets, the first fortnight is cleaning, not magic. And it does not replace an operator who has done the job. It gives one operator the reach of five. I’ve added the entire documentation and build to a Google Drive Want access? Comment "OPS" and I will send them over directly. We need to be connected for me to message you.

I built a full LinkedIn Content OS. 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 playbook is FREE.

1 data provider only found me 148 accounts for our CLI beta outbound. So I built a Claude Code skill that used 15 sources to find/score 780 ICP accounts and 1,228 contacts instead. The goal was to contact GTM agencies about Freckle's new CLI for building GTM workflows. Teams building outbound systems, RevOps workflows, Clay tables, enrichment pipelines, CRM automations, AI research flows, and all the weird GTM ops glue clients ask for. The hard part was that those agencies didn't all live in one database. I had to pull from LinkedIn post engagers, industry expert directories, data providers, CRM, Clerk users, competitor-adjacent followers, waitlist signups, and ad hoc finds from old chats. Then I had to score them. GTM agencies are messy niche for scoring. Generic lead gen shops can look close. Content agencies use GTM language. Data platforms often show up in agency searches too. Tiny operators can look weak in firmographics, then have employees with “GTM Engineer,” “RevOps,” “Clay,” and “HubSpot” all over their profiles. So the skill can score accounts across multiple evidence layers. - firmographics - website positioning - tool keywords - employee titles - profile keywords - logos and case studies - hiring signals - CRM and waitlist context But it's completely customizable for whatever niche you're targeting. The rule that made the list work was simple. Score the company first. But still use people as evidence about the company. Then find the *right* contacts after the account qualifies. I also added a calibration step to review 10-20 examples and argue through why each account is good, bad, or disqualified. Niche ICP scoring is never perfect on the first pass. So the rubric gets better when you look at real examples. That workflow became my TAM Mapping Orchestrator. It walks from blank-canvas ICP to source mapping, rubric design, calibration, account scoring, enrichment, and contact selection. A single export misses too much, and generic a

AI models got good at analysis this year. Really good. Point one at a dataset and it will split any metric anomaly by segment, walk the funnel, and find where the number moved. What it can't do is tell you whether that answer makes sense for your business. So we wrote the fundamentals down into four guides. A number drops. The agent hands you the segment where it happened. Whether that segment is the cause, or just the place your visitor mix shifted, comes down to one more comparison. An experiment comes back positive. The agent reads you the result. Whether the lift is big enough to ship, and whether the metric you were protecting moved too far to accept, are not statistics questions. A change already shipped and there was never a control group. The agent confirms the number went up afterward. Whether your change caused it depends on what else happened that quarter. None of that gets solved by a better model. It gets solved by knowing where to cut, what counts as a real result, and whether your change actually caused it. Comment or DM if you want it and I'll share the link.

I wrote a practical guide on connecting Claude Code to Google Ads and Meta Ads with MCP. Free. Built for marketers who want agents to read ad account data without handing over the steering wheel on day one. The basic idea is simple: Google Ads and Meta Ads stay the source of truth. MCP gives Claude Code a controlled way to access the account. Then the agent can help with: -> account summaries -> weekly readouts -> campaign diagnostics -> signal checks -> creative reviews -> budget questions -> missing data checks But the setup is not just: "add MCP server and go." There are a few steps people skip. For Meta Ads, the official connector uses Meta OAuth. You need the right Business Portfolio and ad account access. For Google Ads, you need the API path: -> developer token -> Google Cloud project -> OAuth client -> refresh token -> google-ads.yaml -> local MCP server config And even after it works, I would still keep it read-only first. Let the agent diagnose. Let the human approve anything that touches money. Comment "MCP" and I’ll send the full guide. P.S. We need to be connected so I can DM it.

Claude just got access to 402 million B2B contacts. But most people still don't know this exists. Here's the full setup, no coding required 👇 Most sales teams still find contacts like this: Buy a list from Apollo or ZoomInfo Export to a spreadsheet Paste into an AI tool Write outreach manually Repeat for every campaign That worked in 2024. In 2026 you can connect Claude directly to a database of 402 million verified B2B contacts using GetLeads MCP. Here's what it actually does: 1. 179 fields per lead Not just name and email. Job title, LinkedIn profile, funding data, tech stack, hiring activity, traffic, and more. 2. Verified emails and phone numbers 66M+ verified emails and 53M+ cellphones ready to send. 3. No exports, no dashboards Claude reads the data directly. Your agent works with it without you touching a spreadsheet. 4. Connects to every AI tool you already use Claude, ChatGPT, Cursor, VS Code, Windsurf. One MCP, all your tools. Here's the part most people miss: It's not just a contact database. It's a contact database your AI agent can actually use in real time. No copy-paste. No manual enrichment. No waiting on a data team. You type what you need. Claude finds it, qualifies it, and hands it to your outreach workflow. That's the unlock. Setup takes less than 2 minutes. First 5,000 contacts are free. Connect with me and comment "LEADS" and I'll send you the setup guide.

Kevin Durant's family office just bought a 515-acre Six Flags to redevelop. If that surprises you, you are not alone. Most GPs cannot name a single family office deploying into real estate right now. That gap is not about the money. It is about visibility. These families invest through holding companies named after themselves, with no website and no press team. Search the usual way and you find the fund managers who chase them, almost never the families writing the checks. So I mapped the ones actually deploying. 100 family offices, every one of them closed a US real estate deal in the last 12 months. Stan Kroenke closed on a 937,000-acre ranch, the largest private land deal in the US in a decade. Tilman Fertitta is buying Caesars outright. And 97 more like them. A few honest numbers from the sheet. 52 of the 100 deployed in just the last six months, the rest earlier in the year. Every row has the family office, the person who runs it, their check size, and the exact deal they just closed. For contact you get a company email, a LinkedIn, or the firm's website, not always that person's direct line, and I would rather tell you that here than have you find out mid-campaign. A handful are family-owned operators rather than pure single-family offices, and they are labeled. Everything is named, titled, and ready to import. If you want the sheet, comment "DEPLOY" and I will DM it to you. If we are not connected yet, add me first, LinkedIn does not deliver messages between strangers. Worth saving if your next raise lands this quarter.

The LinkedIn Client Acquisition Guide to Claude is here. 14 skills, proven workflows, the exact prompts 👇 31 pages. The setup I'd hand a founder, consultant, or SMB owner on day one, pulled from the systems we use to generate leads and book meetings every week. What's inside: 1/ Build your client acquisition system in 1 day Positioning, outreach, content, follow-up, and pipeline management connected inside one Claude workflow. 2/ The client acquisition brief Claude reads every time Your offer, ICP, positioning, objections, and goals written once so you stop repeating yourself in every prompt. 3/ The 14 skills that actually generate pipeline Positioning, content creation, prospect research, lead sourcing, outreach writing, follow-ups, lead qualification, and pipeline management. 4/ The workflows Claude runs every week The prospecting, content, outreach, and follow-up systems that keep running whether you remember them or not. 5/ The prospect research engine Pull company information, buying signals, decision-makers, and outreach angles in minutes instead of hours. 6/ The weekly pipeline report, written for you New opportunities, conversations started, follow-ups due, and next priorities ready before you open your CRM. 7/ The exact prompts Copy-paste for every workflow, framework, and client acquisition task we actually use. Comment "CLIENTS" and I'll DM the guide. Connect with me first so it sends. (Repost for fast access)

We built the SELF-IMPROVING Claude Code for GTM and Marketing. So your LinkedIn generates pipeline while you sleep ⬇️ Drop in your profile, offer, and ICP. Your first self-improving LinkedIn GTM system is running in 3 minutes. (No generic AI content. No complicated Claude setup. No 47-tab marketing workflow.) How it works: 1/ Paste your LinkedIn profile, website, and offer 2/ It spins up daily GTM and marketing tasks tuned to your brand 3/ Creates, analyzes, reports, then self-improves based on what generates pipeline What it can do now: ➤ Researches your market, competitors, and what your buyers care about ➤ Turns buyer insights into LinkedIn posts, hooks, carousels, and lead magnets ➤ Builds a content strategy around your offer and GTM priorities ➤ Identifies relevant prospects, buying signals, and warm opportunities ➤ Creates personalized outreach using real buyer context ➤ Turns LinkedIn engagement into qualified sales conversations ➤ Builds landing pages, email campaigns, and sales enablement assets ➤ Tracks which campaigns generate followers, leads, and booked calls ➤ Sends a weekly learning brief: what ran, what worked, and what’s being improved ..and more via 100+ GTM, marketing, and LinkedIn client acquisition workflows, purpose built by marketers who actually use LinkedIn to generate pipeline. Real outcomes from our system: ➤ Grew a profile by 7,000+ followers in 30 days ➤ Generated 27 qualified sales calls in 30 days ➤ Closed 7 clients directly through LinkedIn ➤ Added $43K MRR in 45 days from the feed alone No generic AI posts. No random cold DMs. No 47-tab morning routine. Just your profile, your offer, and 3 minutes. Comment "CLAUDE" and I'll send you the complete system! ***Connect with me first so I can DM you***

How to build a predictable LinkedIn client acquisition system step by step inside claude: (30 minutes. Reusable every week.) Step 1: Build the folder on your laptop 1 master folder: “LinkedIn-Client-Acquisition.” 4 subfolders inside: ICP POSITIONING CONTENT CONVERSATIONS Point Claude to this folder. That’s how it learns your entire LinkedIn growth system. Step 2: Create 3 files inside ICP ideal-client → industry, company size, pain points and buyer titles. buying-triggers → hiring, funding, growth, leadership changes and active problems. bad-fit-prospects → who you do NOT want to attract. Claude creates better content when it knows exactly who should read it. Step 3: Create 3 files inside POSITIONING core-offer → what you sell and the result you create. proof → case studies, client results and credibility. point-of-view → what you believe that others in your industry do not. Now Claude understands how to position you as the obvious expert. Step 4: Create 3 files inside CONTENT content-pillars → pain, proof, frameworks and personal authority. writing-style → how you naturally write. anti-ai-rules → words, phrases and formats you never use. Example: → avoid generic hooks → avoid robotic language → use short sentences → include real examples → write in a direct tone This fixes 90% of AI-generated LinkedIn content. Step 5: Add examples inside CONVERSATIONS posts-that-work → your best-performing content. comments-that-work → comments that attract profile views. warm-dms → messages that started real conversations. follow-ups → useful messages that moved prospects forward. Claude learns your client acquisition patterns faster from examples than prompts. Step 6: Paste this prompt every session “I want to attract [ICP] through LinkedIn. Read my LinkedIn Client Acquisition folders first. Find the problems and buying triggers my audience cares about. Write authority-building content matching my voice. Identify relevant conversation starters.

10 Claude workflows for LinkedIn Each one runs a job an outbound agency used to bill you for 👇 Not prompts you babysit. Scheduled workflows powered by gojiberry: 1/ Buying-signal scan Finds prospects hiring, raising funds, changing jobs, or engaging with your competitors 2/ High-intent lead pull Reads LinkedIn activity, hands you the prospects most likely to need your offer 3/ Prospect research Studies each lead’s profile, company, recent posts, and priorities before outreach begins 4/ Lead enrichment Finds the right decision-maker, fills in the missing details, and adds them to your list 5/ Personalized message writer Writes messages from each prospect’s real activity. No generic templates 6/ Multi-account outreach Runs campaigns across multiple LinkedIn accounts without mixing leads or conversations 7/ Reply classifier Sorts every response into interested, objection, referral, follow-up, or not relevant 8/ Conversation handler Drafts replies, answers questions, qualifies prospects, and moves them toward a meeting 9/ Pipeline analyst Shows which job titles, industries, messages, and buying signals generated the most replies 10/ Monday outreach report New leads, replies, meetings, three priorities. Client-ready before coffee None of this is hard most founders just never build the workflows Setup is one workflow at a time. Then it runs without you Comment "MCP" and I'll DM the setup guide

Claude Fable 5 dropped last week It's dangerously good at LinkedIn client acquisition 👇 We connected it to our client acquisition workflows on day one. What it does better: 1/ Finds your best prospects Pulls decision-makers who match your ICP and are already showing signs of intent. Sorted by relevance and buying signals. Cold lists → qualified prospects 2/ Maps their real problems Analyzes their role, company, content and recent activity. Priorities vs pain points, mapped. A 10-hour research process in under 1 3/ Helps write content from buyer data Drafts posts from real customer problems, not guesses. Hooks, stories and CTAs included. The content calendar fills itself 4/ Helps build personalized outreach Researches every prospect and writes messages around something they actually care about. The personalized DMs write themselves 5/ Helps find warm opportunities Tracks people engaging with your posts and identifies which ones match your ICP. The most ignored source of qualified leads 6/ Handles your follow-ups Drafts relevant replies, answers objections and keeps conversations moving. LinkedIn engagement → booked calls 7/ helps you tracks pipeline weekly Profile views, replies, conversations and booked calls: one Monday report with 3 priorities. Know what is working before changing the strategy It doesn't recommend LinkedIn tactics. It builds the client acquisition system. Setup: give your LinkedIn profile, ICP and offer. Fable 5 handles the entire content and outreach strategy. Comment "SYSTEM" and I'll DM you the setup guide.

Claude Fable 5 dropped last month it's dangerously good at outbound and client acquisition 👇 we connected it to our client acquisition workflows on day one. What it does better: 1/ Finds your best prospects Pulls decision-makers who match your ICP and are already showing signs of intent. Sorted by relevance and buying signals. Cold lists → qualified prospects 2/ Maps their real problems Analyzes their role, company, content and recent activity. Priorities vs pain points, mapped. A 10-hour research process in under 1 3/ Helps write content from buyer data Drafts posts from real customer problems, not guesses. Hooks, stories and CTAs included. The content calendar fills itself 4/ builds personalized outreach Researches every prospect and writes messages around something they actually care about. The personalized DMs write themselves 5/ Helps find warm opportunities Tracks people engaging with your posts and identifies which ones match your ICP. The most ignored source of qualified leads 6/ Handles your follow-ups Drafts relevant replies, answers objections and keeps conversations moving. LinkedIn engagement → booked calls 7/ helps you tracks pipeline weekly Profile views, replies, conversations and booked calls: one Monday report with 3 priorities. Know what is working before changing the strategy It doesn't recommend LinkedIn tactics. It builds the client acquisition system. Setup: give your gojiberry profile, ICP and offer. Fable 5 handles the entire sales and outbound strategy. Comment "SYSTEM" and I'll DM you the setup guide.

The Claude for CFOs Ultimate Bundle (everything you need to master Claude in Finance) 👉 Comment "Claude" and I'll send you the full bundle I'm limiting this to the first 100 comments, so move fast Every time, I hear the same thing from CFOs and controllers: "Nicolas, I know Claude is powerful, but I don't know where to start" So I put together the exact bundle I wish every finance team had since day one: 📘 Claude Finance Playbook How to build financial models in Excel, use Voice Mode from your phone, and create interactive scenario planners 📋 Top 100 Claude Tips 100 prompts for Excel, Cowork, dashboards, and best practices you can use today ⚡ Top 100 Claude Shortcuts The fastest way from prompt to finished output, no wasted steps ✅ Claude Checklist So you never skip a step when building a model or a report 📖 Claude 101 Dictionary Every Claude term explained in plain finance language 🎓 Claude AI Finance Course A structured path to go from zero to confident, at your own pace 🔑 The Mega Claude Collection Collection of Infographics and carousels about Claude On top of that, this bundle covers the whole journey: understand it, use it, master it, teach it to your team 👉 Comment "Claude" and I'll send you all the resources Bonus: you'll also get a free seat to my AI Finance Masterclass 🔁 Repost so your finance team stops guessing and starts using Claude the right way

I’ve spent 1,000+ hours testing how AI can actually improve Klaviyo work. There’s no magic prompt. 😅 It’s really dozens of small workflows that each save you 10 minutes here, an hour there. So I started compiling the best ones into an ever-growing Klaviyo AI Vault. It already has 30+ workflows and I’m adding new ones every week. The good news: I’ve started compiling the most useful ones into an ever-growing Klaviyo AI Vault. It already has 30+ workflows and I’m adding new ones every week. If you want early access, comment “VAULT” below and connect with me so I can send it to you directly. PS - I might turn this into a $49 product in the next month or so, so if you want to get it for free, this is your chance. PPS - These are the same kinds of tactics I’ve used to help some clients grow Klaviyo revenue by 100% in the first month.

We ran 1,240 LkdIn and 310 cold email sequences through CLAUDE FABLE 5 to find what actually gets a reply. It wasn't the copy. The pattern was in how much the sender already knew before writing a single word. Most outbound still targets on three inputs: - job title - company size - funding stage Those tell you who to contact. None of them tell you why that person would answer this week. The messages that got replies were built on a different layer: → Who just got hired, and who now controls the budget → The one problem that ICP is losing sleep over → How severe the pain is, and why → The posts, podcasts and newsletters they actually consume None of that sits in a filter. It sits scattered across hiring pages, org changes and comment sections, which is why most teams skip it and go back to volume. So we handed that part to FABLE 5 + One MCP. Skills that surface 50+ of these triggers per prospect, then a system that runs on top: 1. Pulls leads already showing buying signals, instead of a scraped list 2. Drafts the DM from what that person did last week, not from a template 3. Books in under 33 words, because nobody reads a pitch inside a DM 4. Runs the follow ups, so nothing sits on "seen" forever Same list and same sender. Reply rates went from 1% to 2% cold, to 25% to 42% warm. Last week: 12 demos in 5 days, with Fable 5 and the MCP. The difference is intent. You're not interrupting a stranger. You're joining a conversation that person already started in public. After many request if you want to use the same MCP as us, here is the link for a free trial https://lnkd.in/dzVjP-gb

We have built outbound systems for 275+ companies. If I started from zero this month, the first thing I would create is this folder on my laptop 👇   7-step workflow runs the campaign end to end, and all 7 read from that folder.   The run:   1. Catch the signal PredictLeads for hiring and funding, G2 for accounts researching your category, RB2B for the companies already visiting your website. Rank them by what actually changed at the account.   2. Qualify against your ICP A scoring script you write once, so the same account scores the same on every run. Firmographics first, because the cheapest filter should run before you spend a credit.   3. Find the people Prospeo.io and Clay, starting from the domain and building the list live. Pull the whole buying committee: the champion, the decision maker, and whoever gets blamed if it fails.   4. Verify the contact Work email and mobile in the same pass. Cheapest provider first, and waterfall for the emails the first provider doesn't find.   5. Write from your frameworks Claude drafts from the angles that already converted, because the folder holds them with the numbers attached.   6. Preflight the send SPF, DKIM and DMARC set-up on every sending domain, volume spread across mailboxes, and any contact already part of another sequence is removed. Gmail, Yahoo and Outlook all enforce this on bulk senders now.   7. Launch and learn Instantly for volume email, Lemlist for calls and multichannel. Replies and booked meetings go back to the CRM, and what converted goes back into the folder so your workflow can learn by itself.   So, the folder.   CLAUDE.md holds your ICP, your tone and the right order of actions. skills/ holds the plays you have already run, saved once and reusable by any agent. hooks/ holds the guardrails: one caps enrichment spend, one refuses a send to a domain already in an open sequence. frameworks/ holds the copy that converted.   Claude reads those files before every task. The better the files, the better t

Agencies charge $5,000/month for brand consistency. I built a system that does it forever. For $0. It's called a Brand Voice Skill. One file. Claude reads it before writing anything for your brand. Every. Single. Time. Here's what most teams do: ✗ Type "write in our brand voice" and hope for the best ✗ Paste the same 500-word prompt into every conversation ✗ Get output that could belong to any competitor (and usually does) ✗ Manually rewrite 80% of what AI gives them Here's what a Brand Voice Skill unlocks: ✓ Your personality traits with good, too-far, and too-flat examples ✓ A 1–5 register scale so "write this at a 3" replaces 10 minutes of explaining ✓ Banned words list that actually sticks (goodbye "elevate your experience") ✓ Channel-specific rules — blog voice ≠ support email voice ≠ social voice ✓ A QA rubric Claude runs before delivering anything The breakthrough: You're not replacing your brand instincts. You're encoding them. Write the skill once. Use it forever. Hand it to your team. Everyone sounds like the brand on its best day. I built a complete guide showing you: 🔹 The exact file structure (copy-paste ready) 🔹 How to write personality traits Claude actually learns from 🔹 The register spectrum most voice guides miss 🔹 A testing protocol to break the skill before your audience does This infographic shows you the summary. Let me know in the comments if you want the full Notion page.

Still managing your Meta Ads manually? Here are 5 Claude skills that do the weekly work for you. ‎ Each one is a slash command. Feed it your live ad data, product page, or customer reviews. Claude returns the finished audit, script, concept list, or verdict in minutes. ‎ → /creative-fatigue — catches dying ads before CPMs spike → /comment-mine — pulls objections buried inside your ad comments → /url-to-40-ads — turns one product URL into 40 ad concepts → /ugc-script — builds shot-listed UGC scripts straight from real reviews → /competitor-teardown — finds the angles you are not running yet ‎ No dashboard. No manual pulls. No senior hire. Just your data in, decisions out. ‎ Comment COMMANDS below. I'll send all 5 skills over.

The highest-performing sales teams don't just use AI. They build their entire sales workflow around it. Right now, AI can help you: ✅ Find qualified prospects in minutes ✅ Write personalized sales emails in 60 seconds ✅ Automate follow-ups that actually get replies ✅ Handle objections with confidence ✅ Capture leads 24/7 ✅ Analyze sales calls for hidden insights ✅ Build a complete 30-day AI sales plan That's exactly why we built AI for Sales on SpeedChat Academy. Inside you'll learn: 📌 Why AI is changing the way modern sales teams sell 📌 How to write high-converting sales emails with AI 📌 How to find prospects who are ready to buy 📌 How to automate your outreach without sounding robotic 📌 How to turn objections into opportunities 📌 How AI can generate leads around the clock 📌 How to analyze calls and improve your close rate 📌 A practical 30-day AI Sales implementation plan No theory. Just practical lessons you can apply immediately. 🎓 8 lessons | 3 hours | Hands-on learning Start FREE today. 💬 Comment "LEARN" and I'll DM you the full course. ♻️ Repost to help someone sell smarter with AI.

Claude found a $42,000 revenue leak in under 3 minutes. 💰 ↳ Here's the exact workflow. 👇 Most brands see sales drop... Then spend hours jumping between: → Shopify → GA4 → Meta → Google Ads → Klaviyo Trying to figure out what went wrong. I don't. I connected Shopify, GA4, Meta, Google Ads, and Klaviyo to Claude using this connector: https://lnkd.in/eESij5wa Now Claude does the investigation for me. It automatically checks: ✅ Traffic quality ✅ Checkout issues ✅ Stockouts ✅ Paused campaigns ✅ Missed email sends ✅ Data sync problems Then tells me exactly what's causing the drop... ...with the evidence to back it up. No dashboard hopping. No guessing. No wasting half the day looking for the problem. I even have Claude run this automatically every morning. I documented the exact workflow + prompt. Like this post. Comment "CLAUDE". I'll send it straight to your DMs.

I connected Claude straight to a Google Tag Manager container last week. I have not opened the GTM interface since. Something I've been noticing: almost nobody audits their container. They inherit it. Three agencies and two devs later there are 40 tags and nobody can say what half of them fire on. There's an MCP server that connects Claude to the Google Tag Manager API. Open source, around 50 tools, reads and writes. Setup is one line. Claude: Settings, Connectors, Add custom connector, paste https://mcp.gtmeditor.com, sign in with Google. Claude Code: claude mcp add -t http gtm https://mcp.gtmeditor.com No Cloud project, OAuth client, or developer token needed. It ships its own best-practice rules, so Claude reads those before judging anything. Then it works through the container looking for tags with no trigger, duplicate GA4 events, orphaned triggers, and naming drift. "GA4 - Purchase", "ga4_purchase", "Purchase Event NEW FINAL", all sitting in the same container. A second prompt writes the tracking plan as markdown. Every event, its trigger, the data layer variables behind it. The document your dev team keeps asking for. Two things worth knowing before you connect it. It's third-party, not Google-official, and it reaches your live container through your own Google permissions. Changes land in a workspace though, and publishing needs explicit confirmation, so read-only work carries very little risk. Second, the GTM API silently drops autoEventFilter on click and form triggers. "Some Link Clicks" conditions still need the interface. I'm still working out where the line sits between letting Claude read a container and letting it edit one. Connecting takes two minutes. Getting a useful audit out took me longer, so I wrote down what worked: the 4 audit prompts at full length, the read-only config for all 52 tools, and the tracking plan template. 1️⃣ Like this post 2️⃣ Comment GTM 3️⃣ Connect so I can send it

People tell me all the time they can't start cold outreach yet bc the tools are too expensive. Instantly, the scrapers, enrichment platforms, all of it adds up. I want you to know: virtually everybody on Earth has a mailbox that is freely accessible to you. You just need to figure out the email address, and then be willing to trade a bit of time for the potential of future money. That's it. Back in the day I used to cold email people manually. I know that sounds insane. Writing a cold email by hand, without AI, like some kind of caveman. But each one took maybe three or four minutes and I could send 10 to 20 a day in less than an hour. And if you do the math you’ll understand. Say you want one or two retainer clients in the next 60 days. At a ~20% close rate on calls you need maybe 5 to 10 calls. That's one call every 6 to 12 days. At a 1% booking rate that's roughly 15 pieces of outreach per day,which is exactly what the free manual approach gets you. The tools simply expedite a process that is already profitable on its own! Profitable meaning you can literally go from $0 spend to a paying client. If you have more time than money right now, the trade is sitting right there. P.S. I have a 4 cold email masterclass that you can get your hands on. To get it: 1. Comment MASTERCLASS 2. Connect with me 3. I’ll send you the link

AI does 90% of our initial GTM strategy formulation all in just these 6 prompts. This has been a MASSIVE unlock for speed to winning GTM for our diverse client base at Pipeline.tech. Here’s what these prompts cover: 1/ Deep Market Research Generates all key GTM-relevant information about the target company to use as foundational context 2/ TAM Mapping Identifies all relevant industries/sub-industries, along with market size, value, and growth data 3/ ICP Modeling Builds ICPs from TAM outputs, ranks segments by priority, defines ideal personas, outlines their pains/needs, and provides initial messaging angles. 4/ Company Account Sourcing Finds the best databases, directories, scrapers, and niche sources to acquire accurate company data for any targeting requirement. 5/ Targeting Keywords Generation Creates precise industry/persona keyword lists for database filtering (e.g., Apollo) that outperform broad industry filters. 6/ Messaging Creation Generates multiple email script variations—different lengths, offers, pain points, case studies, and complexity—using context from earlier prompts. Want these copy-and-paste prompts for yourself? Comment "Prompts" and I'll DM you this document + LLM project you can use to extract the AI prompts. (Must be following to receive)

JUST DROPPED: The 10-Claude-agent playbook for CFOs. One system. Every stage. For CFOs, group credit managers and heads of order-to-cash running collections end to end. Credit decisions. Invoice accuracy. Collections outreach. Debtor mailbox. Disputes. Cash application. Risk monitoring. Cash forecasting. Escalation. Board reporting. Ten workflows. One system. Running in parallel. What used to take a credit team a full month-end now runs overnight. Inside the playbook: → Agent 01. Credit decisions. Every new customer scored on internal payment behaviour plus bureau data, terms recommended before the order ships → Agent 02. Invoice accuracy. Every invoice checked against the contract before it goes out, because the cheapest dispute is the one that never happens → Agent 03. Collections outreach. Reminder sequences timed to how each customer actually pays, not to a fixed dunning calendar → Agent 04. Debtor mailbox. Every inbound reply read, classified and actioned. Promises to pay logged, queries routed, silence chased → Agent 05. Disputes and deductions. Root cause tagged, owner assigned outside finance, ageing stopped at the source → Agent 06. Cash application. Remittances matched to invoices, short payments and unallocated cash cleared without a spreadsheet → Agent 07. Risk monitoring. Every account tracked on 10+ payment signals. Deterioration flagged weeks before the write-off → Agent 08. Cash forecasting. A 13-week rolling forecast built on payment behaviour rather than invoice due dates → Agent 09. Escalation. When to hold the order, when to escalate, when to hand off. Rules applied consistently across every entity → Agent 10. Board reporting. DSO, ageing, risk and forecast rolled into one pack. Every number traceable to a source The mechanic: Skills give the expertise. Connectors give the data, straight out of your ERP. Subagents handle the second line of work simultaneously. Your board pack is being built wh

One of the biggest problems I've heard in talking to Founders, CROs, CMOs, CFOs and Partner leaders: Defining partner attribution. I've seen this come up over and over again across 70 consulting engagements. Here's why it gets messy: 💵 One partner wants full attribution...except there's one deal and multiple partners involved. 🔍 The account executive says it was already in Salesforce...even though it hasn't moved stages in 3 months. 🎯 The SDR said they've already been sending 1 pagers to the economic buyer...but there have been no replies. 💻 Marketing says it came from a webinar...."Yes, I know it's a partner webinar, but marketing should get credit for it." 📈 The customer organically expanded from usage...So did anyone really source it? Sound familiar? If you don’t define “partner sourced” vs “partner influenced” up front and align leadership, sales, marketing, operations, finance and partnerships around an attribution framework, you’ll end up with: -Departments claiming duplicative credit -Infighting over attribution credit -Broken incentive structures -Confusion in reporting -Lower trust and collaboration across teams It's time to help you solve this. I spent countless hours to put together a guide around partner attribution (based on real, fractional partnerships work tested across 70 engagements and 20+ years as a partnerships leader) that covers: 📊 Different Attribution Frameworks with Definition, Pros and Cons ✅ The High Level Framework and what to do when multiple partners are involved 🛑 The 3 Most Common Objections from CROs, CMOs and CFOs and Your Talk Track 💰 Defining Partner Sourced vs Influenced 🤝 How Multiple Partners Can Influence Deals Want the attribution guide? Just comment YES and I'll get you a copy.

2 years ago I published my first AND worst YT video Yet I still had these comments: - sooooooo gooood, video is killing - this video is just amazing! - video editing is next-level! Love them! Makes me smile every time cuz despite it being the worst video EVER I had support to keep building my personal brand. Those who are builders get the feeling of cringing at yourself every 3 weeks. That's how f*cking growth looks like!!! If the fear of what others will say is stopping you, I encourage you to just hit publish. Sometimes strangers believe more in you than those who are close to you. It's better than living with the regret of not even trying.

Cold calling is NOT rocket science. So stop acting like it is. You don’t need to read a book on it and it doesn’t take months to get good at it. You need a strategy, practice, and to get your reps in to become great at doing it. I recorded a 10 min video that can help you start booking 5-10 meetings per week NOW if you follow the framework. If you want me to send it to you comment “cold call”. It’s completely free. No catch. No sales pitch. Just value. #sales #coldcall #prospecting #b2bsales #techsales #salestraining

Il y a un marché à plusieurs millions d'euros complètement inexploité en France autour des CRM et Claude Code (je te donne gratuitement la méthode exacte pour le prendre) Alors là c'est du très lourd.. Tout le monde connaît le problème : Salesforce, HubSpot, et équivalent te facturent une fortune chaque mois, par utilisateur, pour un outil rigide dans lequel tu dois t'adapter à LEUR logique (et pas l'inverse). Et plus l'entreprise grandit, plus la facture explose.. Sauf que récemment quelqu'un a créé un CRM open source complet qui devient viral à une vitesse folle. Il s'appelle 𝗧𝘄𝗲𝗻𝘁𝘆. Et en le combinant avec 𝗖𝗹𝗮𝘂𝗱𝗲 𝗖𝗼𝗱𝗲, tu obtiens littéralement le CRM le plus puissant du marché : → 100% open source, donc gratuit → Hébergé chez toi, tu en es vraiment propriétaire → Zéro abonnement, zéro limite d'utilisateurs → Applications sur mesure, layouts personnalisables → Agents IA intégrés directement dedans → Tes propres règles, tes propres fonctions, tes propres graphiques Je répète (au cas où ce ne serait pas clair) : zéro euro par mois, par utilisateur. Bref on peut modeler le CRM autour de SON business, et pas l'inverse, et ça c'est clairement l'avenir des CRM. Et maintenant écoute bien parce que c'est là ça devient vraiment intéressant.. À partir du moment où l'on sait installer Twenty et le personnaliser avec Claude Code, on a littéralement un 𝘀𝗲𝗿𝘃𝗶𝗰𝗲 𝗲𝗻 𝗼𝗿 à vendre aux entreprises. Rien qu'en France, il y a des milliers de PME qui tournent encore sur un CRM préhistorique (ou pire, qui n'en ont pas parce que ça coûte trop cher, ou qu'elles ne savent pas quoi choisir). Et donc toi tu peux débarquer, leur installer un CRM sur mesure, open source, que ton client possèdent VRAIMENT, et tu factures ton expertise et l'installation complète. Un marché gigantesque, en France comme à l'international, et complètement inexploité aujourd'hui. Alors je me suis enfermé pendant des heures pour rédiger un guide de configuration complet qui exp

I just mapped 3,300+ family offices. No PitchBook. No Preqin. Just Claude. Every GP I know pitches the same real estate families. The biggest checks in this database came from people who made their money selling foam cups, fast fashion, and Hot Pockets. The family that makes your foam coffee cup built a $1.5B resort next to Disney World. 1,100 acres. The founder of Zara paid $274M for a Miami office tower in 2025. He also owns $722M of American warehouses. The family that invented Hot Pockets sold to Nestlé for $2.6B. They now buy apartment buildings in Costa Mesa. Most GPs have never pitched any of them. So I kept building. 3,300+ offices. 13,588 decision makers, each with a LinkedIn profile, an email, or a phone number. A few things the data turned up: - 941 are confirmed buying U.S. real estate right now. Full profiles on each one: source of wealth, check sizes, recent deals. - 331 are open to co-investing alongside operators. - 99 write checks of $250M or more. I started with 60. Then 200. Then 500. Then 750. Then 1,012. Thousands of you commented each time and asked for the full build. Here it is. 3,300+ offices, tiered by data depth. Want access? Like this post Comment "3300" Connect with me (we have to be connected for me to send it)

I BEG you to try this Claude setup. It TAKES OVER your content + DMs. The algorithm has changed, and you haven't caught up. Most of you still: - send generic DMs - build campaigns manually - hope the results will come In reality, what works now is personalized outreach at scale. And that's exactly what this Claude setup does. I'll show you: → How to connect LinkedIn with Claude in 4 minutes → How we average 2 meetings a day using it → A step-by-step process to copy our exact system And so much more. Want access? Connect with me & Comment "SETUP", and I'll send you the link. P.S. Repost this to get early access.

A year ago, running true 1:1 ABM ads at scale meant one of two things: pay a team to build it for weeks, or spend over $20k on software. Last week I showed a room of 200 growth and revenue leaders a 3rd option. I built a 1:1 ABM LinkedIn Ads campaign live using Claude Code. You pick your accounts, and for each one it builds: → A landing page personalized to that specific company → Creative using their own logo and name → A dedicated ad set targeting the right decision makers, filtered by department and seniority, sized correctly All of that from the terminal, without ever opening the Campaign Manager. The same workflow can handle over 200 accounts in a single run. A client of mine was about to sign up for that exact $20,000 software before I showed him he didn't need to. This is the power of using AI and modern workflows to scale your revenue using paid ads. The real leverage is that we can take years of experience scaling B2B companies and build workflows around that knowledge, so we can ship more, and make better & faster decisions. Want to see the full recording? Comment "Ads" below and I'll send it over.

Claude can (almost) do any job for you. You just need to install the right skill. Here are 7 worth adding today: ↳ Find Skills ★★★★★ Surfaces the right skill before you even go looking →  https://lnkd.in/g3X7-5XJ ↳ Agent Browser ★★★★☆ Sends Claude out to browse the web on your behalf →  https://lnkd.in/gSkZPSq3 ↳ Caveman ★★★★☆  Trims your token spend by roughly 75% →  https://lnkd.in/gS5uafQZ ↳ Frontend Design ★★★★★ Anthropic's in-house skill for polished interfaces →  https://lnkd.in/gZi8Qpqq ↳ Remotion ★★★☆☆ Turns Claude into a full video editor, built in React →  https://lnkd.in/gTgWeVak ↳ HyperFrames ★★★★☆ Same video power, but rendered in HTML →  https://lnkd.in/gTCXEbCr ↳ Marketing Skills ★★★★★ Handles SEO, ad copy, and content in one pack →  https://lnkd.in/gCxuzwsP You don't need all 50+ skills people are talking about. You need the ones that actually save you time. Big shoutout to Charlie Hills 🦩 ↳ Social media skill ★★★★★ https://lnkd.in/gtgjEpmi Comment SKILLS to get my full guide to use these skills

Daniel and I came up with 14 ways to grow our LinkedIn accounts over the next 6 months. We could try all of them. That would be a great way to waste half a year. So we ranked every strategy using the ICE framework: 1) Impact If this works, how much will it move the goal? 2) Confidence How much evidence do we have that it will work? 3) Ease How difficult is it to do regularly? The scores exposed the tradeoffs, and we made a few decisions. Some exciting ideas had huge upside but weak evidence and required a lot of work. Less glamorous tactics moved up the list because we already knew they worked and could execute them immediately. By the end, we had a few experiments worth committing to. The top 3 tactics were: 1. Engagement partners (find people posting every day and support each other's growth) 2. Weekly feedback loops (there's no reason not to look at the data weekly) 3. Viral drop collabs (partner with people to do viral drops together) The point of a growth framework isn’t to find more things to do, but to make it easier to ignore everything else. If you want the full breakdown of all 14 tactics and the thought process behind our ranking, comment “grow” and I’ll send it over.

I handed a junior rep's entire job to a folder. 42 Claude skills, seven jobs, on LinkedIn and email 👇 Opus 5 shipped Friday at the same price as the model before it. I pointed the SDR desk at it and everything kept working. No rewrite. No migration. No new tools. The stack went from 31 skills to 42. Here is what it covers 👇 📌 Finding Which accounts are showing intent this week, and which ones have gone quiet. It watches so you do not have to check. 📌 Ranking Every lead scored against the customers who actually closed, not the ones in the pitch deck. You get a number and the reason for it. 📌 Researching The account dossier written before the first message, including who signs and who blocks. 📌 Writing DMs on LinkedIn and email in your voice, learned from things you already wrote. No template smell. 📌 Chasing The first message, the chase, and the one you send when neither landed, with a ladder that stops where a human would stop. 📌 Sorting Every reply read and filed by what it actually means, not by whether it contains the word yes. 📌 Booking The call locked, the reschedule handled, and the time wasters screened before they reach your calendar. That is a full junior rep, for the price of a subscription. Want it? 1/ Like this post 2/ Comment "CLAUDE SDR" 3/ Connect so I can send it P.S. Share this with the founder who is about to post a job ad for their first SDR.

There's a way to get free distribution for newsletters you already wrote. And most creators are sleeping on it: Every newsletter you send has the same lifecycle. - You write it - You send it - People read it (hopefully!) And then it's gone. It sits in an inbox for about 48 hours and then it's gone forever. Meanwhile there's a platform that will give that same email a feed, an audience, and the easiest email capture on the internet. That platform is Substack. And no, I'm not telling you to start a Substack newsletter btw. That's the thing that stops most people. They hear "Substack" and think "great, now I have a second newsletter to write." You're not writing anything new. Here's what you want to do instead: 1/ Create a shell Substack You technically make a Substack newsletter. But you never send from it. It's a just containers for you to archive and upload all of your emails. 2/ Upload the newsletters you already wrote The valuable ones, of course. Not your sales emails. Add a title, add an image, and boom - the email is live. Only takes a few minutes, especially if you create a system for all of this. 3/ Let the feed do the work This is what people miss. Substack isn't just a newsletter platform anymore. It's a social platform that happens to host newsletters. Your post can show up in the feed. That's distribution you weren't getting when you just send your emails using your regular ESP. 4/ Capture + migrate On LinkedIn, X, or Instagram, you fight for the click, then the landing page, then the opt-in. That's 3 steps to get an email. On Substack, someone taps "subscribe" directly from the feed and you have their email address. Literally one tap. Then you move those subscribers to your real ESP, where the rest of your machine already lives. And that's the whole move. Your newsletters stop dying in the inbox. And your list grows from a channel you weren't even using. Hope it's helpful! PS - I put together the full Substack shell set

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!

I've sent close to 2 BILLION emails for founders and brands. And figured out what actually turns a list into revenue ⬇️ Let's be honest for a sec - sending more emails won't warm up a cold list. You send more, you hire a writer, your opens keep sliding, and none of it converts. A list that grows without ever paying for itself. So I packaged what we've learned into Claude. And I'm giving all 13 skills away free. What's inside: Planning - Database Segmentation (turns a raw list export into the 4 cohorts that need completely different emails) - Editorial Formats and Topics (four recurring formats and a 90-day topic bank built from what you actually know) - The Send Brief (writer-ready brief with the angle, the reply question, and where the offer sits) Production - First Scroll Fix (rewrites the top of an email so the value lands before the fold) - Subject and Preview Lines (matched pairs, because preview text is the half everyone forgets) - Plain-Text Version (strips a heavy HTML draft into a deliverability-safe A/B variant) Intelligence - Newsletter Teardown (reverse-engineers any competitor's structure, cadence and monetisation) - Reply Analysis (pulls buyer language, objections and your next 3 topics out of reader replies) Audit - Deliverability Check (authentication, complaint thresholds and link density before you hit send) - Send Post-Mortem (works backwards through placement, list health, timing and copy, in that order) - Monetisation Readiness (whether a list is actually sellable yet, and what's missing) Operations - Final Pre-Send Check (links, merge tags, segment exclusions, reply-to, rendering. Email has no recall.) - Brand and Voice Rulebook (Claude reads your voice, ICP and forbidden claims on every prompt) 13 skills. Built from what we've learned across close to 2 billion emails and $7M in client revenue at Inagiffy. If you want all 13 free: 1. Comment "GIFFY" 2. MUST BE CONNECTED ♻️ Repost for priority access

🚨 BREAKING: Claude Opus 5 is here (it's crazy good at SEO 👇) We connected it to Search Console, GA4 and Ahrefs on day one. What it does better: 1/ Finds your buyer-intent keywords Pulls terms with real volume and real purchase intent. Sorted by what you can actually win. Page-2 keywords → page 1 2/ Maps keyword intent Clusters seeds into hub and spoke. Commercial vs informational, mapped. A 40-hour strategy in under 4 3/ Runs original data research Goes and gets numbers nobody else has published, then cites them. The part everyone skips is the part AI quotes back 4/ Writes content from data Drafts posts from real gaps, not guesses. Entities, headings, internal links included. The content calendar fills itself 5/ Publishes to your CMS WordPress, Webflow, Shopify, Ghost, Framer. Straight from the chat window. Nothing gets copy pasted into an editor again 6/ Builds internal links Blog ↔ collection ↔ PDP. Finds orphan pages and link gaps. The most ignored ranking lever 7/ Gets you real backlinks Trades links with other real businesses in the exchange, matched on DR and relevance. Not a directory dump 8/ Tracks what moved Positions, impressions, CTR shifts. One Monday report with 3 priorities. Know what moved before the client asks It doesn't recommend SEO fixes. It ships them. Setup: one file into Claude. About a minute. I put that file inside our playbook, so you get the system and the thing that runs it. Comment "PLAYBOOK" and I'll DM it to you.