Sure (e/acc)

It was awesome facilitating this session at @moringaschool on recent advancements in Generative AI and their impact on the future of work in the tech sector. My key message was: "AI Won't Replace Humans — But Humans With AI Will Replace Humans Without AI." #AI #GenerativeAI

The entire RAG industry is about to get cooked. Researchers have built a new RAG approach that: - does not need a vector DB. - does not embed data. - involves no chunking. - performs no similarity search. It's called PageIndex. Instead of chunking your docs and stuffing them into pinecone, it builds a tree index and lets the LLM reason through it like a human reading a book. hit 98.7% on financebench. beats every vector RAG on the leaderboard. no embeddings. no chunking. no vector DB. 100% open source.

@paolo_scales SAAS

we just scaled a B2B SaaS from $0 to $420k ARR in 30 days… and we used ONLY linkedin the most UNTAPPED lead gen platform of 2026 so i just sat down, pressed record, and dropped a 14-minute masterclass going through the ENTIRE GTM system behind how we did this here's what's included: 1. the two-phase framework behind every post we publish 2. exact lead magnet structure that got 6,000 comments from a single post 3. how we repurposed one post across 5 profiles and turned 1,000 comments into 9,000 4. our comment reply script that drives free trials before people even open a resource 5. the DM triage system for handling thousands of conversations at once 6. our conversion architecture inside every lead magnet 7. the hook library with our top performers and why each one worked 8. the profile optimization that took conversions from 2% to 8% 9. the exact content calendar that we followed for 30 straight days 10. the trend monitoring system that let us post within 24 hours of any major launch 11. our email capture play (4,800 subscribers in 30 days) 12. the posting cadence, repurposing schedule, and DM follow-up timing down to the hour plus a bonus 120-day case study where we scaled a different SaaS to €42,975/mo using this same system like + comment "SAAS" and i'll DM you EVERYTHING (must be following + RT for priority access)

New for financial services: ready-to-run Claude agent templates for building pitches, conducting valuation reviews, closing the books at month-end, and more. Install them as plugins in Cowork and Claude Code, or use our cookbooks to run them in production as Managed Agents.

@thatguybg Share it

spent like 20hrs making a massive zip file of skills and agents for content creation linkedin, X, longform, launch videos, etc all a prompt away. I used it to write our next launch script. lmk if you want to try it and ill send it over.

"To get the most out of agent observability, store feedback with your traces. That is what turns agent traces from logs into a learning system."

Introducing Realtime TTS-2, a new generation of voice model built for realtime conversation. It is the first voice model that hears the conversation, takes natural-language voice direction, holds one voice identity across over 100 languages, and speaks like a person who is paying attention. The result is voice AI that feels as good as it sounds. Try it out: tinyurl.com/RealtimeAI Learn More: tinyurl.com/TTS-2Blog

semis peak cycle right about now

Introducing SubQ - a major breakthrough in LLM intelligence. It is the first model built on a fully sub-quadratic sparse-attention architecture (SSA), And the first frontier model with a 12 million token context window which is: - 52x faster than FlashAttention at 1MM tokens - Less than 5% the cost of Opus Transformer-based LLMs waste compute by processing every possible relationship between words (standard attention). Only a small fraction actually matter. @subquadratic finds and focuses only on the ones that do. That's nearly 1,000x less compute and a new way for LLMs to scale.

Eric Schmidt (ex-Google CEO): “if you really want to make money, it’s actually easy. found an agentic AI company.” If I had only 30 days to do that , I'd begin here and save this: Agent Architecture langchain.com/blog?category_… Claude Code 101: anthropic.skilljar.com/claude-code-101 Claude Code in Action: anthropic.skilljar.com/claude-code-in… Prompt engineering (official): docs.claude.com/en/docs/build-… Interactive prompt tutorial (hands-on): github.com/anthropics/pro… CLAUDE.md & how to give Claude memory: code.claude.com/docs/en/claude… Skills, teach Claude reusable workflows: code.claude.com/docs/en/skills MCP, time connect Claude to Slack, GitHub, Drive: code.claude.com/docs/en/mcp Routines (automate tasks 24/7): code.claude.com/docs/en/routin… Claude Code Ultimate Guide (community): github.com/FlorianBruniau… Awesome Claude Code (skills, hooks, plugins): github.com/hesreallyhim/a… All 13 Anthropic Academy courses (free certs): anthropic.skilljar.com Claude Code full docs: code.claude.com/docs/en/overvi… All of this is for free at $0/month Then read this guide by this builder

I asked Robert about the sales and marketing behind growing a B2B service company organically to $20 million in revenue, achieving 20% growth year after year, exiting the business, and then moving into aggressive growth through M&A, completing over 130 acquisitions: "I look at it in our world as three different real roles. One of those is truly the only real sales role, which is an outside salesperson. Somebody that's selling inspections and maintenance agreements and master subcontract agreements and things like that. The second one is service sales, like a deficiency sales rep or an inside sales rep, which I call kind of shooting fish in a barrel. You already have all the customers, you just need to do break-fix type quotes. Then the third is what we would call more construction. Those are bigger fish. I call them whale hunters. You can win big and you can lose big. Construction is hard. You need a real team. In service, when you have a $5,000 break-fix repair, the most money you could lose is probably five grand. On a half-million-dollar job, I've seen people lose a million dollars."

I’ve NEVER seen a B2B business fail to book calls with cold email when they use this 5-step email sequence: (bookmark this) Most of your replies WON’T come from email one. They'll come from email 3, 4, or 5. Your prospect's inbox is filled with 100 other pitches. They're not ignoring you. They just didn't see it. If you stop after email one or two, you've wasted your time. Here’s how you should go about it: EMAIL 1: Initial outreach Use the PPQ framework: → One problem (their specific pain) → One proof point (quick social proof) → One question (soft CTA) → 80 words MAX EMAIL 2: Reminder + value add → Add a case study → Share a new insight → Give them a reason to engage No one wants to see “just bumping this!” Add VALUE. EMAIL 3: Ask for feedback Something like: → "Not sure if this was off base or just bad timing" → Makes it easy to respond without committing EMAIL 4: Light scarcity → "I still have a couple of spots this week if it's relevant" → Creates gentle urgency without being pushy EMAIL 5: The breakup → "No worries if now's not the right time" → "Feel free to reach out if things change" → Often gets the highest response rate of the sequence Steal this.

@jack_9947 Marketing

I just built a Claude Code marketing skill stack that plans campaigns, writes social posts, designs carousels, and produces animated videos from a single brief every week. Feed it your brand design system, your best-performing content, and a campaign brief → it studies your voice and visual identity → generates on-brand assets across every format while you review and approve. All inside Claude Code and Claude Design. Perfect for marketing teams and agency owners who are still briefing designers on assets Claude Design produces in minutes, calling skills one at a time when one brief should trigger the whole sequence, and manually pushing skill updates to teammates who need the same system running on their machine. If you're running marketing in 2026, you already know the math - the teams that produce at volume aren't the ones with the biggest budgets, they're the ones with a skill stack that handles execution while humans handle strategy. Most teams ship three assets a week if they're lucky. This skill stack solves it: → Drop your branded landing page into Claude Design and it extracts colours, typography, components, and spacing into a portable skill file every other skill calls automatically → The campaign planning skill reads the brief, researches the market via Perplexity MCP, and builds a branded slide deck with KPIs, persona, funnel map, and roadmap → Pulls from your best-performing posts and storytelling framework as reference files so social content matches what actually works in your space → Routes complex tasks to sub-agents running in parallel and simple executional tasks directly to skills based on routing rules in CLAUDE.md → Fires completed skills to a Notion library automatically every week at 9am so your team always has the latest version without manual uploads → Drops finished campaigns, posts, carousels, and videos into dated project folders ready to publish No briefing designers on assets Claude produces in minutes. No calling skills one at a time when a brief should run the whole sequence. No manually distributing skill files to teammates every time something updates. What you get: - Brand design system extraction guide: 10-15 minutes to a portable skill file every other skill calls automatically - Four function skills: campaign planning, social content, carousel design, and animated video each triggered by a slash command - Multi-skill orchestration setup so one brief triggers research, content, creatives, and landing page in the right order automatically - Notion skills library with auto-sync routine so your team always installs the current version from one place - One skill stack you install once and run across every marketing workflow forever Built 100% in Claude Code and Claude Design. I put together a full playbook with all skill files, the brand extraction guide, the Notion library setup, and the exact CLAUDE.md routing rules to get the full stack running from one brief. Want it for free? > Like this post > Comment "MARKETING" And I'll send it over (must be following so I can DM)

🚨BREAKING: Anthropic just published a study mapping exactly which jobs its own AI is replacing right now. The workers most at risk are not who anyone expected. They are older. They are more educated. They earn 47% more than average. And they are nearly four times more likely to hold a graduate degree than the workers AI is not touching. The argument is straightforward. Anthropic built a new metric called "observed exposure." Not what AI could theoretically do. What it is actually doing right now in professional settings, measured against millions of real Claude conversations from enterprise users. For computer and math workers, AI is theoretically capable of handling 94% of their tasks. It is currently handling 33% of them. For office and administrative roles, theoretical capability is 90%. Current observed usage is 40%. The gap between what AI can do and what it is already doing is enormous. The researchers are explicit about what comes next. As capabilities improve and adoption deepens, the red area grows to fill the blue. The demographic finding is what makes the paper uncomfortable. The most AI-exposed workers earn 47% more on average than the least exposed group. They are more likely to be female. They are more likely to be college educated. This is not a story about warehouse workers or truck drivers. It is a story about lawyers, financial analysts, market researchers, and software developers. The exact group whose education was supposed to insulate them. Computer programmers showed the highest observed AI exposure at 74.5%. Customer service representatives at 70.1%. Data entry keyers at 67.1%. Medical record specialists at 66.7%. Market research analysts and marketing specialists at 64.8%. These are not predictions. These are measurements of work that is already happening on AI platforms right now. Then there is the pipeline finding nobody is talking about loudly enough. Anthropic's researchers found a 14% decline in the job-finding rate for workers aged 22 to 25 in highly exposed occupations since ChatGPT launched. No comparable effect for workers over 25. Entry-level roles were never just jobs. They were the training ground where junior analysts became senior analysts, where junior lawyers learned how arguments hold together. If that layer disappears, nobody has answered the question of where the next generation of senior professionals comes from. The detail buried in the paper that most coverage missed: 30% of American workers have zero AI exposure at all. Cooks. Mechanics. Bartenders. Dishwashers. The technology reshaping professional careers is completely irrelevant to roughly a third of the workforce. The divide is no longer between high skill and low skill. It is between presence and absence. The company publishing this study is the same company selling the AI doing the replacing. Anthropic had every commercial incentive to soften these findings. They published them anyway. If you spent four years and $200,000 on a degree to land a white collar career, the company that builds Claude just confirmed your job is more exposed than the bartender pouring drinks at your graduation party. Source: Anthropic, "Labor market impacts of AI: A new measure and early evidence" PDF: anthropic.com/research/labor…

My guest today is Paul Tudor Jones (@ptj_official), one of the greatest macro traders of all time. He correctly predicted the 1987 stock market crash and shorted the Japanese bubble in 1990. For over 40 years, his flagship fund has had a negative correlation to the S&P 500. 100% of his returns are alpha. He says today's market has so many similarities to 2000, "the easiest bear market I've ever seen in my whole life." He makes the case for going long dollar-yen, why Bitcoin beats gold as an inflation hedge, and why he was wrong about Warren Buffett. But what I'll remember most from this conversation is Paul's zest for life. He's 71 and still wakes at 2:30 every morning to trade the London open. He works out for two hours a day. He walks with his wife every evening. He travels the country chasing peak spring and peak fall. He's so excited about the songs picked for his funeral that he wishes he could be there to hear them. Paul has lived five lifetimes in one. He's one of the most entertaining and interesting people I've met, and the conversation will leave you searching to be as passionate about what you do as he is about what he does. Enjoy! Timestamps: 0:00 Intro 1:00 The Kindest Thing 13:19 Trading vs. Investing 17:33 Lessons from Warren Buffet 22:24 The Existential Risks of AI 29:54 The Nature of Trading 31:46 Bitcoin 35:55 Bubbles 42:08 A Day in the Life of PTJ 46:00 Information Overload 47:07 Passion for Markets 50:49 The Robin Hood Foundation 54:18 The Workless World 56:03 Journalism 1:00:00 Principal Components of a Great Life 1:05:06 Kill Them With Kindness

@pierreeliottlal CLAUDE

I built a full AI Marketing + Sales engine with Claude (30+ agents). And I’m giving it away for free. Most people use AI to write posts. That’s 10% of the game. This system runs the entire pipeline: Marketing → content, SEO, distribution, demand Sales → lead sourcing, signal detection, outreach, calls, closing Each agent does one job. Together, they operate like a full team. No fluff. No templates. Just a system that actually books meetings. If you want it: Like the post Comment “CLAUDE” Make sure we’re connected I’ll send you the full breakdown. Repost if you want priority access.

@learnwithella @sumitdoriya21 SEO

I just built a Claude Code SEO agent that replaces your $200/mo. Ahrefs subscription 🤯 One prompt → keyword gaps found, competitors analyzed, content written in your brand voice, rankings tracked weekly. All inside Claude Code. Perfect for DTC brands and agencies who know SEO matters but never have the bandwidth to actually do it consistently. If your SEO workflow looks like this — log into Ahrefs once a month, export a CSV, skim it for 5 minutes, close the tab, tell yourself you'll write that blog post next week, never do... This agent runs the entire loop for you: → Connects to Google Search Console and pulls your real ranking data → Finds your "gap zone" — keywords sitting at positions 5-20, one article away from page 1 → Uses Apify to scrape who's outranking you and breaks down exactly why they're winning → Interviews you once about your brand, customers, and positioning — then never asks again → Writes content in your voice — not generic AI slop that tanks after 90 days → Tracks rankings weekly and feeds what's working back into the next cycle → Optimizes your product listings for AI shopping — so you show up when someone asks ChatGPT for a recommendation, not just Google No $200/month tools you open once and forget. No freelancers writing content that sounds like everyone else. No manually checking rankings and forgetting to act on it. What you get: - Keyword cards with a specific action recommendation for each gap zone opportunity - A competitive breakdown — who's beating you and the exact fix for each keyword - A weekly content plan generated from your real GSC data - A brand voice profile Claude uses for every article it writes - Product listing optimization for AI shopping (ChatGPT, Gemini, Perplexity) — the new SEO nobody's doing yet Built 100% in Claude Code with Google Search Console. I put together a full playbook with the skill files, brand interview, and the exact weekly workflow. Want it for free? > Like this post > Comment "SEO" And I'll send it over (must be following @learnwithella so I can DM)

BREAKING VIDEO: Kenya’s Sabastian Sawe becomes the first person ever to win a regular marathon in under two hours, setting a new world record at the London Marathon in 1:59:30! Kenyans invented running™

🚨 This is absolute GOLD. The @AnthropicAI engineer who literally wrote "Building Effective Agents" just dropped a 14-minute masterclass. saves you months of headaches trying to figure this out alone. bookmark for the weekend + read @Av1dlive's great guide below 👇