Najeeb Khan

@saleh_digital Rendered Care is a good perspective

@aschwags3 GA

This quarter, I’ve closed multiple $1M+ without a slide deck. I’m using a single AI tool. Today, I want to share it, free. After signing, a prospect asked me how we created the site. They were so wow-ed they wanted it for their own clients. Here’s what floored them: it took a single designer 5 minutes to prompt and launch. The AI chains together 6 key parts of our sales process, turning a 18-page deck into a single, personalized website. When they asked, I gave them this template and workflow. Now I want to share it for free: Follow me + comment “GA” and I’ll DM it.

@thesamparr The challenge isn't one-off training; it's about long-term adoption. You don't want people to simply check the box and not do anything. We help companies make AI work through our AI-First training. Happy to chat if you're curious.

How is everyone getting team adoption for Claude? I spent a lot of time on Twitter, as do you. We see all this AI stuff popping up. We're on top of it, or at least sorta. I know what's going on and are testing all these fringe ideas. But how are all you people getting your team to actually use it effectively without spending all their time on Twitter and learning, which we know they won't and probably shouldn't be?

@lukepierceops Agency

I went from $500 Upwork projects to $500K+/year selling AI systems. I legitimately made every mistake you can make. Undercharging, scope creep, building without mapping, hiring wrong, pricing hourly. Then I figured out what actually works and doubled down. I put the entire playbook into a free guide. Here's what's inside: → How I went from Zapier gigs to $25K-$60K projects → The pricing shift that 5x'd my revenue (and the exact formulas) → My 4-call sales process for closing $25K-$60K+ deals → The discovery framework that turns calls into signed contracts → How I built a dev team without burning cash → The fulfillment system that keeps clients for years → How I position against agencies 10x my size and WIN → The content engine that fills my pipeline without ads or cold outreach → Every mistake I made and what I'd do differently starting from zero This took 4 years, 80+ clients, and a lot of painful lessons. Yours for free. RT + reply "AGENCY" and I'll send it over. (Must follow so I can DM

@indexsy GEO

REPEAT AFTER ME We just replaced GEO agencies with an AI agent Give it your URL and it: → Gets you ranked #1 on high DR listicles → Finds high traffic Reddit threads and drops mentions → Runs on autopilot This is how you get featured in ChatGPT answers. Why pay $5k/mo for GEO when this costs less than $100? Comment "GEO" + bookmark this → I'll DM you the agent (must be following)

@Jacobsklug @Lovable Design

This design system made us $2.5M. I'm giving it away for free to @lovable builders. This will allow you to build premium UI in Lovable. Copy & paste. What’s included: • 3 design styles • Component standards (buttons, cards, nav, modals) • Copy right into project Follow + comment "Design" and I'll DM you.

@recap_david @therecapai Newsletter

I built a Morning Brew-style daily newsletter that writes itself with AI (now at 10,000+ daily readers) (and I’m nuts for open-sourcing it) The AI system behind @therecapai clones how a human writer would function, but each step is packaged into an agentic workstream. The full automation handles: → Daily scrapping hundreds of reddit threads, hackernews, twitter posts, Google news API to build a massive data lake of 'daily AI news' → Dozens of custom prompts to pull the top daily stories from this data lake, write short breakdowns, & format the newsletter → Builds custom images based on each story with ChatGPT image generator This was 5 MONTHS of iterating and fine-tuning prompts to get the output and content to an extremely high quality state (no AI slop) and call me crazy, but I'm giving it away for free. I'll DM you the full n8n template that you can copy/paste and fine-tune to your use-case as well as a full hour long video breakdown explaining the build. Just Like & RT, follow me, and comment on this thread "NEWSLETTER" (must be following so I can dm you) Also you can see the actual contents of the newsletter for yourself with the link below, proof of the quality that is possible with AI. RIP legacy media companies 💀 AI is here.

@zobeir $2M

we finally got anything .com guess how much we paid and I'll personally send you 500k credits 👀

@robjama I recall the Arrive journey. Such a great legacy!

wild to see this! here's the backstory: Shop aka Arrive was the first thing I pitched when my team got acquired by Shopify in 2016. we were brought on to help with mobile, Shopify's weakness at the time. the plan was to build B2B tools but I had this idea for a consumer package tracking app I was sitting on. the idea was to help millions of buyers track packages and give merchants a direct line to their customers after checkout. the "growth hack" was plugging a download Shop button into Shopify's thank you pages. Tobi was an early believer and power user. now it's a top app every year around this time with hundreds of millions of downloads. we were acquired to make a #1 app and we did it. feels good, man.

@zobeir Yes pls

i know u all just want more Anything credits reply and intern will send you some

@anything LFG

Introducing Anything Max: Vibe Coding that's leaps above Lovable and Bolt We've raised money at a $100M valuation and built what we believe is the future of vibe coding. We asked 100 vibe coders to build their apps side by side on Lovable, Bolt, and Anything Max and they rated Anything Max the winner across all 3 categories - accuracy, design, and 'overall'. Here's why: • Full-stack control: Max can test backend hooks, branch database states, and debug issues, because Anything owns the full infrastructure. • Max can load up your app in its own browser and click on all buttons like a human tester to find all edge case bugs, then trace the bug across the stack - could be a frontend, backend, or a database issue (only we can do this, read #1) and autonomously fix it with 97% accuracy. Lovable and Bolt build prototypes, but Max users are building production-ready apps and already charging money for them. Blake built a gut biome app to $10K run rate Anthony built a referral tool to $20k in revenue Yuri built a suite of apps doing $40K Build your app with Max: createanything.com/max -------------------------------------------- We're hosting a $100K Hackathon to help people grow their app to $10K MRR. - We'll teach you everything we know about growing to 1M users. - You'll have 30 days to build a real product in public and get paying customers for it. If you do it well, you can start the New Year with a functioning business. Retweet and comment “LFG”, and we’ll send you a $100 discount code and the link to participate

@damianplayer Agent

selling AI agents WITHOUT building them yourself means: • no full-time staff • you close deals, experts build • $5K-$15K+per deal (minimum) • clients see ROI fast If your goal is scaling past $50K/month, this model beats building everything yourself.​​​​​​​​​​​​​​​​ RT + comment “AGENT” and I’ll shoot over the method (must follow to get DM)

@paolo_scales Vid

I just figured out the EASIEST LinkedIn strategy anyone can use to book 50-100 meetings/mo It honestly works so well it feels like a cheatcode... I made a full video going over my exact strategy, step-by-step. Like + reply "VID" for access (must be following)

@mikefutia swap

Holy sh*t! I just swapped a UGC creator with an AI character in 5 minutes 🤯 Same video. Same expressions. Same movements. Completely different person. Perfect for DTC brands & agencies who want to test multiple UGC variations without filming 10 different people. The use case: You've got a winning UGC video. The script works. The pacing works. But you want to test it with different creators—different ages, genders, ethnicities—to see what resonates best with your audience. Traditionally, you'd need to: Hire 5-10 different creators → Brief them all → Hope they match the original energy → Pay $500+ per person → Wait weeks This AI workflow does it differently: → Start with your original UGC video → Create AI character image with Nano Banana → Upload both to FAL AI's Wan Animate model → AI swaps the creator while maintaining all facial expressions, movements, sync → Get variation in ~10 minutes The motion tracking is insane. Every head tilt, smile, gesture from the original is replicated perfectly on the AI character. What you can test: → Same winning script, 5 different creator demographics → A/B test which "face" drives highest CTR → Localize content for different markets → Refresh creative without reshooting I recorded a full Loom walkthrough showing the exact process step-by-step. Want the complete tutorial? > Comment "SWAP" > Like this post And I'll send the Loom over (must be following so I can DM) (Obviously, only use this with videos you own 100% rights to + get creator permission upfront if you plan to make AI variations.)

@AndrewWarner @danshipper @meetgranola Would love the custom EOS GOT video & Zap info

Every time I interview founders of AI companies, I ask: “What AI tools do you love?” These 5 stood out recently: 1. Granola: self-awareness @danshipper (founder of Every) asks his meeting notetaker, “Where am I avoiding tough conversations?” Since he uses @meetgranola, it analyzes ALL his transcripts. I tried it. Dude, it’s paaaaaainfully accurate. Some of what it said about me: + When prospects bring up budget concerns, you pivot to other features instead of answering directly. (And gave specific examples.) + You delegate difficult member conversations to Vernon instead of handling them yourself. (Again, with specifics.) 2. A custom GPT: replace a $15K/day EOS coach @businessbarista & @ArmanHezarkhani (co-founders of Tenex, an AI dev shop) built a custom GPT that helps implement EOS, the management system they use. They upload Traction (the EOS book), their VTO, org chart, internal docs, and client details, so the model actually knows their company. When Alex asked it to help build their accountability chart, it: • asked clarifying questions • reviewed his draft • filled gaps • produced a clean table that their leadership team now uses Instead of hiring a $15K/day implementer, they built one that understands their business better. (If you want a copy of this & video of him explaining it, let me know in the comments.) 3. Claude Console: for better prompts @marvinsangines (founder of notus) writes a lot of prompts because his company creates viral LinkedIn content using AI + humans. He opens Claude Console, explains the job he wants done, and asks it to help write his prompt. I thought it was overkill. Just write the damn prompt! But then he showed me the level of detail it imposed, including: how he wanted the response formatted, hook samples, tone descriptions, etc. He customizes the prompt he gets, saves it, and shares it with his team using the TextBlaze Chrome extension. 4. Granola + Calendar: save time Anirudh Singla runs Pepper Inc, a $10M content company. He asked his meeting notetaker, “Which meetings do I barely participate in?” Then he'd say, “Give me a prompt that would find upcoming meetings that match this pattern.” Next, he'd connect ChatGPT to his calendar, use his prompt, and find meetings that are a waste of time. That lets him opt out of unneeded meetings. 5. Zapier: level up a team @wadefoster, @zapier's founder, uses Zapier’s automation to give his team feedback after internal meetings. The Zap: 1. sends the transcript to an AI prompt 2. analyzes the transcript based on the book The Five Dysfunctions of a Team 3. evaluates each person’s contribution 4. Slacks everyone with private feedback It gives analysis like: “You interrupted Steph 3 times” “You didn’t speak up during the marketing debate” “You avoided conflict when Don tried to understand your point of view” It’s a coaching system running quietly in the background. (If you want a copy of this Zap so you can use it, let me know.)

@recap_david avatar

I turned myself into an attractive 28 year old influencer to promote my toothpaste brand. With Wan 2.2 + this AI workflow, I can turn 1 video shoot into infinite UGC variations featuring different avatar personas. Need your ad to speak to old men? Moms? Truckers? Funeral home operators? Well, now you can hit every cohort with a single winning ad concept. Here's how it works: • Film yourself once reading any script • AI generates diverse avatars for your target audience • Wan 2.2 video model swaps you out with realistic characters • ElevenLabs clones voices to match each persona • Result: 50+ ad variations from 1 filming session Marketers are using this exact system to test across dozens of demographics without hiring actors or reshooting content. Saves 20+ hours per campaign and cuts production costs by 90%. Want the complete prompts and a step-by-step tutorial video? Tap "👍 Like" to save this. Follow, RT, and comment 'AVATAR' below. I'll DM you the full workflow + all prompts for free.

@alexgroberman SEO Stuff Perplexity Cheat Codes

Reddit just sued Perplexity and a bunch of scrapers (SerpApi, Oxylabs, AWMProxy). In the process they also exposed how SEO Stuff (seo-stuff.com) has been getting traffic + sales for customers from Perplexity (and ChatGPT) over the last 6 months. Now that it’s no longer a secret, let’s talk about it. But before we do... Want some cheat codes for landing in Perplexity + Google within 30 days? Just follow me + RT this + reply with "SEO Stuff Perplexity Cheat Codes" and I'll DM you. You must do all 3 for the DM. Alright, let's get into it. Reddit’s lawsuit claims Perplexity and its partners have been scraping Google’s search results to capture Reddit content indirectly, bypassing robots.txt restrictions. The most revealing bit from the complaint: Reddit apparently created a post that could only be crawled by Google, and within hours, Perplexity produced the content of that post. The only way Perplexity could have gotten that Reddit content, according to them, is if Perplexity and/or its co-defendants scraped Google SERPs and quickly incorporated that data into its answer engine. That tells us a lot. Perplexity (and the other AI search platforms) aren’t independently crawling the entire web in real time. They’re selectively pulling data from Google’s top results and pre-vetted authority domains, then embedding and scoring that content through their own ranking layers. Here’s what’s happening under the hood: Perplexity scrapes or queries Google SERPs to find fresh, high-ranking URLs. These URLs act as a feed for its own retrieval layer. That’s why visibility in Google directly translates to visibility in AI search. Retrieved content is chunked into embeddings. Perplexity (and ChatGPT) compute vector similarity between your content and a user’s query. Content with higher semantic alignment and clean structure (proper headings, concise answers, clear topic hierarchy) is prioritized. Domains already appearing in Google’s top results or linked from trusted sources receive a weighting boost. This explains why DR50+ backlinks still move the needle even in AI Search. Perplexity applies a time-decay variable similar to Google’s QDF scoring. The more recently a page was updated or re-indexed, the higher its visibility multiplier. That’s the exact system Reddit outlined in its lawsuit. And that’s exactly what SEO Stuff (seo-stuff.com) was built around. Gold Plan (seo-stuff.com/gold-plan-pack…) 10 AI Search-optimized articles + 3 DR50 backlinks per cycle. Articles are structured with high semantic density, clear markup, and snippet-first formatting, all factors that help AI crawlers parse and cite them quickly. PR backlinks from sites already appearing in AI search with legitimate, strong traffic. Premium Content Bundle (seo-stuff.com/premium-conten…) 60 topic-targeted, high-similarity articles updated on rolling cycles to stay inside AI visibility windows. This content is designed to appear in both Google’s index and Perplexity’s derivative index. Premium Backlink Bundle (seo-stuff.com/premium-backli…) 3 DR50+ contextual backlinks from domains already cited by AI assistants, reinforcing trust and entity alignment. Perplexity and ChatGPT are not indexing the entire internet. They’re indexing Google’s version of it, selectively filtered through authority, structure, and freshness signals. That’s why SEO Stuff (seo-stuff.com) customers who keep content fresh, semantically aligned, and consistently link-reinforced are the ones earning citations, traffic, and even direct conversions from AI search. If you want visibility in ChatGPT, Gemini, or Perplexity, you have to build for Google + AI ingestion, not Google alone. That’s been the SEO Stuff playbook since day one, and the Reddit lawsuit just happened to confirm it. Want some cheat codes for landing in Perplexity + Google within 30 days? Just follow me + RT this + reply with "SEO Stuff Perplexity Cheat Codes" and I'll DM you. You must do all 3 for the DM.

@vanlancker @untitleddotnew Yes please

In addition to @untitleddotnew, I wrote a comprehensive “how-to” guide that covers the art and act of naming. With this process, you can name anything in an afternoon. It is incredibly thorough but can be moved through efficiently. How to Name Anything in an Afternoon

@fahdananta Excited for you Fahd!

In my time so far, my biggest bets have been on companies that were highly underrated or even marked for the grave Shopify, Snapchat, Carvana, Robinhood. To me, each one was a canvas for learning, building, and reinventing Shortly, I’m going to make the biggest bet of my life, the masterpiece In this game, where risk is the only currency that matters, call me the Merchant of Death

@shreyas The harsh truth, team building one time doesn’t fix all the negative issues at your company. It’s like going to the gym once and saying your fit. It’s one piece of the whole. At same time, when we approach it, we do goals first and it shows in the results 😊

In my experience, most team-building events force a kind of inauthenticity that, while enjoyable to some employees, feels like a transparently contrived ritual to some others. This latter group of employees often includes independent thinkers who won’t automagically feel uplifted after 3 hours of performative community service just so some of their other teammates can reassure themselves that they are now “better human beings” after this offsite. These independent thinkers just do the math: if community impact were truly our goal, the money spent on the event could have created 5X the impact had we simply donated it to a competent organization. Whether this is right or wrong for a given team or company is a judgment they must make for themselves. But while some people get a rush of happy hormones from shouting a silly “ONE company, ONE team!” chant at the top of their lungs, others see this as childish nonsense. And their skepticism is only reinforced when, a month later, the company lays off 15% of the very people who were cheerfully chanting “ONE company, ONE team!”. Of course, this doesn’t mean all team-building events are destined to be useless. The best events are designed intentionally, with a clear sense of team context and the experience you want to create as a leader. That requires true care, judgment, and time, which is a rare combination in practice. Most team-building events are conceived logistics-first rather than goals-first. They just recycle what’s been done before, or what they’ve seen with other teams, instead of being designed from the ground up to serve a specific purpose. And so the charade continues.