Brian Baynes

@TommiPedruzzi Yes

It's heartbreaking to watch people start content creation on TikTok or YouTube in 2026. Not because it can't work. Because of how long it takes to find out if it will. Month 1: you're excited. You film, you post, you study the algorithm. You get 40 views. Month 3: you've refined the format, better hooks, better editing. The numbers are moving... slowly. You get 200 views. Month 6: you're consistent. You haven't missed a week. You have a small following. You've made $0. Month 12: you're either in the 5% who stuck it out and are starting to see traction, or you're in the 95% who quietly stopped posting because real life kept getting in the way. Two years in, if you made it, you might be earning something meaningful. MIGHT BE. Meanwhile, the platform changed the algorithm four times. Your best-performing content format stopped working twice. And every follower you built lives on a platform that can decide tomorrow to show your content to nobody. You don't own any of it: • Not the reach. • Not the audience. • Not the relationship. The platform does. And the platform is not loyal to you. It's loyal to whatever keeps people scrolling that quarter. I'm not saying content creation is wrong. I'm saying there's a model that doesn't require two years of output before the first dollar comes in. Amazon has 310 million active buyers searching for solutions to real problems every single day. And I've figured a way to deliver solutions to their problems in the simplest way possible. It doesn't require 2 years of experimentation, just: • 1 hour a day • An AI and a • Repeatable system and if you start working on it today, you may see your first $2,000 to $3,000 by the end of July 2026. If you want my it — my entire system, AI prompts, workflows.. everything. Follow me, like this post and comment "YES". I'll DM you my entire system for free. You need to do all 3 to receive the DM.

@romanbuildsaas LK

A single LinkedIn post brought me $10k+ in MRR This is not clickbait. Time spent writing: 15 minutes Views: 148,000 Free trials generated in 24 hours: 350+ Trial-to-paid conversion rate: 40% New customers: 140 New MRR: 140 × $99 = $13,860 I wrote a guide explaining exactly how you can do the same. Comment "LK" and I'll send it to you.

@vitaliidodonov MRR

I just finished writing my most valuable PDF yet: "$0 to $10K MRR in 14 days" (19 pages) It's everything I wish I knew when starting out. I might charge for this in the future, but for now… Reply "MRR" and I’ll DM it to you for free (must follow)

@AlfieJCarter STACK

R.I.P. paying full Opus prices for every single AI task. A properly routed open-source Claude stack can replace $200+ a month in frontier model spend. It is not as easy as just swapping the model name and hoping for the same output. But if you start today, you can have GLM 5.2 wired into Claude Code, a local model running on your machine with zero token cost, and your first autonomous loop built, verified, and running unsupervised by end of this week. I usually charge $99 for access to this playbook but today, it's free. Like this post + comment 'STACK' and I'll DM you the full guide for free. The guide covers three things. How to set up local models on your hardware in 15 minutes using Ollama, which model runs best at your RAM level, and the decision engine that tells you which of your tasks belong on local, which go to a cheap API like GLM 5.2 at $1.40 per million tokens, and which 20% actually justify Opus. How to wire GLM 5.2 into Claude Code in under 5 minutes by editing one JSON config file so the same harness, skills, and workflows you already have run on a 5x cheaper engine for 80% of your tasks. How to stop prompting and start building loops. The 4-condition test that tells you which tasks are ready to loop, the four blocks every loop needs, and the copy-paste prompt that builds your first loop orchestration skill with training mode, memory, and a verification step included. (Must be following, or I can't message.) Taking this down in 48 hours.

@Alphaecho207 Agent

99% of AI agent tutorials on YouTube are pure fluff. I’ve built 47 AI agents using n8n + Claude, and most “guides” overcomplicate everything. Here are the 3 prompts that actually work and make building agents way easier. Save this thread 🔖 Bonus: Comment “Agent” and I’ll DM

@ALionEye What is it about MSU that none of these guys stuck around?

A note about stability. In the ten years that Josh Whitman has been at Illinois, Michigan State has had four athletic directors. The fourth, J Batt, just left for Kentucky so they're onto their fifth (plus six campus presidents in six years, the latest now leaving for Clemson).

@brillaas STATIC

Static ads are SUPER UNDERRATED for scaling high-ticket offers. But here we go… I just built a vault of 60+ winning static ads that we've run so you can literally steal what works. Everyone obsesses over video creatives… but the best advertisers know statics quietly drive half of their best ROAS and you can churn them out pretty fast What's inside: 1) 90+ static ad scripts you can use to generate new ad concepts fast 2) A Google Drive folder of custom static ad designs you can study, download, and adapt 3) A 12-minute video breakdown showing how to design static ads that are unique, avoid creative fatigue, and convert cold traffic into booked calls Most agencies would legit charge $5,000+ for this level of creative strategy Want me to send everything to you? Comment “STATIC” And I’ll DM it to you personally (MUST BE FOLLOWING)

@mikefutia LEADS

I just vibe-coded a Google Maps Lead Gen Scraper in Claude Code that pulls hundreds of local business leads in minutes 🤯 Enter a keyword, city, & state → get back names, phone numbers, emails, websites, & reviews. All inside Claude Code. Perfect for agencies and lead gen operators who need a fresh prospecting list every week without burning $200/month on a scraper SaaS. If you're still building lead lists by hand... searching Google Maps, clicking through listings one by one, copy-pasting phone numbers into a spreadsheet for hours just to end up with a few hundred decent leads... This scraper eliminates the entire loop: → Enter your keyword (plumber, dentist, realtor, etc.) → Pick your city and state → Set the number of results you want → Hit search and let Apify do the scraping → Save the leads you like to a bookmark list No manual searching. No copy-pasting into spreadsheets. No $200/month lead gen tool. What you get: → Full search results with complete business info → A bookmark feature to save your best leads → Search history to track every past scrape → Optional Replit hosting so your whole team can use it Built 100% in Claude Code. I recorded a full walkthrough showing exactly how I built this from scratch, plus all the prompts I used. Want all the prompts so you can build it yourself? > Like this post > Comment "LEADS" And I'll send it over (must be following so I can DM)

@aryanXmahajan ARSENAL

After building 500+ AI systems, I'm leaking the AI Business Arsenal that agencies charge $150K+ to develop... (and I probably shouldn't be giving this away for free) -- → AI Virality Engine: 1 idea into 15 scroll-stoppers a month, written in your voice → Claude Ghostwriter Protocol: 30 posts a month in your exact voice. Not "AI-assisted." Trained on your real writing so no one can tell it's AI → Ad Alchemy Engine: 50+ scroll-stopping creatives + faceless video at scale (1M+ views, no designer) → Buyer Radar: scans 1,000+ accounts and hands you the 25 actually worth your time → Outbound Revenue Engine: LinkedIn + email sequences that book 30+ calls a month on autopilot → Autonomous Sales Agent: replaces a 5-person SDR team and books calls while you sleep → Inbox Sentinel: sorts 100% of your inbound and drafts every reply in your voice → Proposal Claude Opus MCP: drops one call transcript in, gets an 8-figure proposal out → Meeting-to-Action System: every call into action items in under 60 seconds → Claude prompts that outperform $600/hr developers → AI Outreach Engine: 1,500+ qualified leads surfaced every month → LinkedIn Authority Blueprint: the exact system that built 49K+ followers -- This is the complete system behind 49K followers, 500+ booked calls, and $887K in revenue. Zero extra hires. Two years ahead of anyone still doing this by hand. This is free right now. It won't stay that way. Like + comment “ARSENAL” + repost (must be following so I can DM you)

@itsalexvacca @MichLieben LINKEDIN

Last month LinkedIn brought us 500+ inbound leads and 110+ booked calls. We didn't send a single DM for any of it. That's not luck, it's a system. We built it for ourselves, wrote the whole thing down, and I'm giving it away. Most founders treat LinkedIn like a megaphone: post, watch the views climb, then wonder months later why none of it turned into clients. The system is the part that turns all that attention into booked calls, and it's what nobody hands you. But we are. What's inside: 1. The exact prompts we use to stay consistent without burning out 2. How to position so the right buyers trust you before they ever get on a call (someone who's seen you 3+ times converts 2-3x better) 3. The content structure that pulls people off the feed and into your world, then keeps them there until they're ready to buy 4. How to set it up once and let it run while you're busy with everything else 5. The full step-by-step flow we run, agents included, ready to copy This is how LinkedIn became 65% of our inbound at ColdIQ. Comment LINKEDIN and I'll send it over. Follow me first so I can DM you.

@Jacobsklug NATIVE

After building 250+ apps and scaling a full AI agency, I turned everything into a system where agents do the work and humans just review. I'm giving away the full playbook. This is the exact infrastructure we use to send client proposals, draft emails, and run routines without a human touching the keyboard. What's inside: - Brain folder architecture (brain, brand, clients, SOPs, decisions) - README .md routing prompt that saves hours every week - Skill chain template (website, copy, QA) - Global "skill that creates skills" prompt - Proposal skill chain example end to end - Routines and cron templates for self-maintaining context - Tracing log template so your agent learns from every run Comment "NATIVE" and follow. I'll DM it to you.

@MichLieben Ads

Our head of growth, Ivan Falco, runs $300K/mo in ad spend across Google, Meta, and LinkedIn from his Claude Code terminal. He built a set of custom skills for Claude Code off the back of real client campaigns, some of them clearing 4X ROAS. Each one handles a single ad-ops job in plain English. Here's what he actually reaches for: Google Ads > negative-keywords: scans search terms and cuts wasted spend > keyword-analyzer: audits quality scores and surfaces keyword gaps > performance-auditor: compares timeframes and reveals what actually shifted Meta Ads > audience-builder: turns CRM lists into custom audiences > creative-fatigue-analyzer: catches dropping CTR before you'd spot it > spend-tracker: tracks budget pacing across every campaign LinkedIn Ads > bulk-editor: mass-edits campaigns, ads, and naming in seconds > bid-optimizer: tunes bids across campaigns in bulk > audience-builder: builds targeting audiences at scale He connects the ad accounts, tells the terminal what he wants, and it reads the skill and executes. Most of the work that used to live across three ad dashboards now runs from one place. Comment "ads" and I will DM you the full ad skills repository.

@ecomchigga SYSTEM

i make $8,247/month selling a PDF on a twitter account that has no name or face attached to it. the whole business runs in 14 minutes a day. 6 months ago the account didn't exist. here's every step. 1. picked a niche where people were already spending money on guides and courses. not what i found interesting. what people were actively paying to learn. 2. searched twitter and reddit for "how do i" and "struggling with" inside that niche. looked for the same question being asked by different people in different words. 3. checked gumroad and whop to see if products already existed in that space. competition isn't a warning sign. competition is confirmed demand. 4. picked the one problem i understood well enough to explain clearly to a stranger in one sitting. 5. opened google docs and wrote the complete answer like a long text to a friend who genuinely needed help. didn't format. didn't design. just wrote until it was done. 6. organized the mess into: what the problem actually is, why most free advice doesn't fix it, the specific step-by-step solution, and real examples with real numbers. 7. kept it between 11 and 22 pages. short enough to finish in one read. detailed enough that the reader doesn't need to google anything else. 8. added screenshots wherever a step needed proof or visual clarity. 9. exported as PDF. made a cover in canva with a free template. 8 minutes. 10. created a gumroad account. free until your first sale, then 10% per transaction. uploaded the PDF. wrote a title that describes the outcome, not the file. 11. priced it at $39. low enough for an impulse buy. high enough that buyers actually respect it and open it. 12. pulled 2 pages from the guide and turned them into a free preview. this is the lead magnet that feeds everything. 13. created a free telegram group. pinned the free preview at the top. pinned the $39 product link right below it. 14. set up the telegram so new members land in a room where other buyers are posting screenshots, asking questions, and sharing progress. the community does the selling. not you. 15. created a faceless X account. profile picture with no face. bio explains who i help and what result i deliver in one line. bio link goes straight to telegram. 16. used an aged account (6+ months old) to skip the algorithm's new-account suppression. fresh accounts get buried for the first 60-90 days regardless of content quality. 17. found 10 accounts in my niche between 10K and 50K followers. screenshotted their 50 best-performing tweets. studied the hooks, the formats, and the structures that consistently pulled views. 18. set up a Claude project with 3 reference files: a bank of 170+ proven viral tweets with view counts, a voice profile with rules that strip every AI tell, and a formatting guide that controls rhythm and sentence variation. 19. used Claude to generate 3 tweets per day. every tweet checked against the reference bank and scanned for AI patterns before posting. 20. scheduled everything through TweetHunter. posting times locked at 8am, 1pm, and 8pm with 4-6 hour gaps. spacing defeats the algorithm's session decay penalty. 21. never posted more than 3 times per day. the algorithm runs a penalty called the AuthorDiversityScorer that exponentially cuts your reach for every additional post from the same author in someone's feed. your 4th tweet of the day gets roughly 20% of the reach your 1st one got. 22. made 1 of the 3 daily tweets a CTA. structure: first 70-80% is pure value strong enough to bookmark on its own. then "comment [KEYWORD] and i'll send you the free guide. must be following + RT." 23. set up TweetHunter's silent auto-DM. when someone comments the keyword, they get the telegram link automatically. no public reply. silent only. public auto-DM replies get flagged as spam behavior and tank your reach score. 24. replied publicly to every commenter for the first 30-60 minutes after every single post. each author reply fires a 75x engagement weight in the algorithm. this is the single highest-leverage action available to any creator on the platform and almost nobody runs it on purpose. 25. that 30-minute window exists because X's engagement cache refreshes every 5 minutes for new tweets but only every 10 minutes for tweets older than 30 minutes. engagement velocity in the first half hour propagates through the scoring system at 2x speed. after that the window closes and the same engagement is worth half as much. 26. spent 20 minutes every morning in DMs answering questions from new telegram members. kept answers short. when someone asked something the guide covers in depth i'd say "i cover this inside the full system, i don't normally go this deep in DMs but i can show you what's inside if you want." not a pitch. a boundary. 27. used yes-stacking in longer DM conversations. 4 questions the lead can only say yes to before the product ever comes up. by the time price is mentioned they've already decided without realizing it. 28. for anyone who said "let me think about it" i replied "honestly i don't think you're ready for this yet, let's revisit in a few months." took the sale away. 30-50% of stalled conversations closed same day from the near-miss psychology alone. 29. posted proof constantly. every gumroad notification screenshotted. every testimonial shared. every result documented. nothing on earth sells like receipts from real people. 30. raised the price $5 after every 20 sales. $39 became $44 became $49. same product. growing proof. more perceived value with every bump. 31. self-reposted top performing tweets at 12-24 hours with no penalty. re-posted them fresh after 48+ hours when the algorithm's cache resets and the tweet re-enters the candidate pool as brand new content. one great tweet performs 3 separate times if you time the reposts. 32. wrote one long-form X article per week. articles pull 300K-1M+ views in 2026 because they trigger dwell time (weighted +10 in the scoring) and bookmarks (weighted 10x). highest-reach format on the platform right now. 33. never posted off-topic. not once. one viral meme tweet feels good but mathematically drifts your content vector in the algorithm's embedding space. every on-niche post after it reaches fewer people because the system is less certain what your account is about. 34. stayed consistent even when growth felt invisible. the algorithm scores your posts based on recent engagement history before anyone sees them. going silent collapses that baseline. recovery takes 5-10 consecutive strong posts before reach returns. consistency isn't a motivational poster. it's a mechanical input to the scoring system. 35. added a $497 comprehensive course behind the $39 front-end product. 2-4% of $39 buyers upgrade within 30 days without being pitched. 36. added a $5K 1-on-1 partnership behind the $497 course. one person applies every 2-3 months. this single tier changes the entire math of the business overnight. 37. batched all content creation on sundays. one 90-minute session writing the full week of tweets. the system runs the remaining 6 days and 22.5 hours without me. 38. tracked what actually drove replies and bookmarks and cut everything else. likes are weighted 1x in the algorithm. replies are 13.5x. bookmarks are 10x. reposts are 20x. optimizing for likes is optimizing for the cheapest signal. the scoreboard is public knowledge and most creators have never looked at it. the tools: TweetHunter: $49/month (scheduling + silent auto-DM) Claude: $20/month (tweet generation with reference system) Gumroad: free until first sale, then 10% per transaction Telegram: free Canva: free Tally: free (application form for $5K partnership tier) total monthly cost: $69. total daily time: 14 minutes. the timeline: week 1-2: setup, first tweets, $0 month 1: 800 followers, finding the rhythm, $340 month 2: 2,100 followers, CTA tweets clicking, $1,800 month 3: 4,400 followers, telegram compounding, $3,200 month 6: 11,000 followers, backend kicking in, $8,247/month consistent the first $340 took 6 weeks. the jump from $340 to $8,247 took 4 months. the system compounds because the telegram community grows every day and never shrinks. more members means more proof. more proof means higher conversion. higher conversion on the same traffic means the revenue climbs without the effort climbing with it. i put all 38 steps into a full system. way more detail than fits in a tweet. module-by-module walkthroughs, the exact Claude prompts, the DM scripts word for word, the telegram setup, the pricing framework, the algorithm breakdown, and every template i use. comment "SYSTEM" and i'll send you the link. must be following + RT.

@paolo_scales CALLS

after booking 200+ qualified B2B calls in 3 weeks for one b2b client using nothing but a linkedin inbound funnel... i documented the ENTIRE campaign we ran with the specific posts, profile setup, DM scripts and numbers at every stage of the funnel here's what's inside: → the profile rebuild that happened before a single post went live (headshot, banner, headline, about section as a sales letter, featured section with ICP-matched case studies, custom button to qualified calendar) → the 7-day warm-up most people skip that determines whether your first post flops or explodes (30 comments/day, 20 intent-based connections from competitor comment sections, algorithm training before content goes live) → the exact launch lead magnet that kicked off the campaign with a full copy breakdown of every line and why it worked (hook psychology, rehook after "see more", FOMO metrics, credibility anchoring, name-dropping, one-word CTA) → the DM conversion machine running underneath everything (resource delivery within 2 hours, "what caught your attention?" follow-up that opened more conversations than any other DM we've ever sent, 3-5 messages to booked call, assume-the-yes close) → the daily content engine: 2 lead magnets + 2 authority posts + 1 case study + 1 educational + 1 personal per week → the pre-call nurture sequence that pushed show rates above 80% (most calls closed in one call because prospects were pre-sold before they got on) everything backed by $950k+ added to our clients' MRR through this exact system. like + comment "CALLS" and i'll DM you the FULL breakdown (must be following + RT for priority access)

@MichLieben ADS

We built 12 Claude Code skills that run $300K/mo in ads across Google, Meta, and LinkedIn. I'm giving all 12 away, free. 4X ROAS on $1M+ spent. Ivan, our head of growth, built them over 200+ hours running campaigns for our clients. They work the ad platforms from the terminal in plain English: > build custom audiences from your CRM lists > catch creative fatigue before CTR drops > bulk-edit campaigns, bids, and naming in seconds > cut wasted spend on dead Google search terms > audit quality scores and surface keyword gaps Drop them into Claude Code, connect your ad accounts, tell it what you want. It reads the skills and executes. You get all 12 ready to install, plus the 67-min video where Ivan and I walk through how we run them for clients. Reply "ADS" and I'll DM you the repo + the video. Repost to pass it on. Must be following.

@fyreinteractive SCRIPTS

i've been testing claude fable 5.0 to reverse-engineer the BIGGEST faceless youtube channels in the trendiest niches and the results have been absolutely insane..... it analyzes the pacing, format, angle, and hooks with 10x better vision and intelligence than opus 4.8 so i've decided to document the ENTIRE scriptwriting system i'm using with it... here's what's included inside the guide: > how to find the right outliers (manually, claude cowork to scrape winners, or nexlev mcp to surface sub-50k channels pulling 200k+ views) > how to feed a video to fable 5 drop the link if you have the transcript api connected, or feed it transcript + title + thumbnail + mp4 file. transcript alone give it massive analytical power though. > the 6-dimension analysis hook structure, pacing map, curiosity gap architecture, foreshadowing, audience vocabulary, and visual-script sync (mapping how the cuts move with the script, only fable 5 sees this) > extracting the transferable frameworks the hook formula, pacing template, and payoff structure that carry across every video in the niche > generating your own scripts fable 5 writes in the outlier's psychological pattern with original content, annotated with visual direction notes for the edit > the data-extraction bonus it pulls exact figures off charts in research pdfs. "researchers found results" becomes "the 2024 cohort study, 3,847 participants, 34.7% reduction" all backed by 7,000+ scripts written across 50+ niches and the methodology behind 150,000,000+ views. and for 24h, it can be ALL yours for free. like + comment "SCRIPTS" and i'll send it over (must be following + RT for priority access)

@mikefutia SEO

I just built a plugin with Claude Fable 5 that turns Claude Code into a $5,000/mo SEO consultant 🤯 9 skills, one plugin: it connects straight to your Search Console + GA4 data, finds the wins, ships the fixes, and renders a live SEO dashboard that looks like a $200/mo SaaS product. All inside Claude Code. Perfect for DTC brands and agencies sitting on months of Search Console data nobody has time to read. Right now, you probably can't answer: Which keywords are sitting on page 2, one title tag away from page 1, Which pages are bleeding traffic to redirect chains and broken canonicals, Which blog posts rank for commercial terms but never link to a product page. This plugin answers all of it from your live data, then ships the fixes: → Finds your page-2 keywords and ships the fix: new title, headings, content, paste-ready → Clusters every query into a hub-and-spoke content map with the gaps flagged → Drafts posts from your actual search data, not guesses → Writes dev tickets for redirect chains and slow pages, ranked by traffic at risk → Builds the internal links between your blog and your money pages → Flags toxic backlinks and ranks outreach targets → Drops a Monday report with 3 priorities before the client even asks → Renders it all as a one-file HTML dashboard with a 0-100 SEO health score No dashboard staring. No CSV archaeology. No $5K/mo retainer for a PDF. What you get: → Page-2 keywords moved to page 1 → A content calendar that fills itself from data → Dev tickets that write themselves → A live SEO dashboard on command Built 100% in Claude Code with Claude Fable 5. I put the entire build into a step-by-step Playbook: all 8 workflow prompts (including the dashboard), how to turn them into a plugin, and the full Google setup (Including the 2 landmines Google doesn't tell you about). Want access for free? > Like this post > Comment "SEO" And I'll send it over (must be following so I can DM)

@denohawari Reddit

Reddit just DESTROYED Google SEO And this graph says it all Reddit now pulls over a billion visits a month from Google Google trusts those threads, and ChatGPT was trained on every one of them So when your brand gets into the right threads, it starts showing up in AI answers about your category There’s no six months of grinding content to get there This is the exact method we used to rank a B2B SaaS #1 in ChatGPT with a 825% traffic growth in 3 months I put the whole system in one guide: - the subreddits that get pulled into AI answers fastest - the exact post format ChatGPT cites - how to get mentioned without it looking like an ad - the 3-step play we run for every client 180M+ people are asking ChatGPT for recommendations right now The early movers are the ones getting named Want the full Reddit playbook? Just follow me + comment "Reddit" and I'll send it over

@vitaliidodonov PDF

Was going to charge money for this, but f*ck it. I just put together a 36+ page breakdown of everything we did to build, launch and scale Stanley for X in only 10 days, including: → Beating OpenAI on Producthunt → Acquiring over 700 users in 24h → Hitting $4,000 MRR in less than 48h I've spent hours writing the full breakdown of EVERYTHING that we did during this 10 day sprint to achieve the results above. Now the full case study is yours for free. Just: 1. Like this post 2. Reply "PDF" And I’ll send it over. (Make sure you’re following me so that I can DM you

@LoganTGott Outbound

I've used cold LinkedIn outreach to sign clients I had no business landing. (almost 4 years ago when I had 0 case studies and a profile that said nothing) One of our clients just closed a multi-six-figure deal off this exact system. And I'll say it plainly… If you're in SaaS / AI space and you're not running structured LinkedIn outreach, you are leaving the easiest money on the table that exists right now. It costs basically nothing. No ad spend or automation tools. You literally just need a Sales Navigator account, a good offer, and 25 minutes a day to make this work. That's why I'm giving away the entire thing. I built a complete LinkedIn outbound system (the SAME process we run for clients paying us thousands a month) and I'm releasing it for FREE. Inside: - 2+ hours of training walking through the full system A to Z - The exact Sales Navigator targeting filters (so you stop wasting connections on people who'll never buy) - Our connection request → DM sequence that sign our client a multi 6 figure deal. - The "relevant personalization" framework (this is why "hey {name}" gets you ignored) - The 3-follow-up cadence where most of the money actually gets made - How to book calls without ever sending a Calendly link - Profile + content setup so prospects are sold BEFORE they reply - Tracking sheet so you actually stay consistent Follow it for 90 days and your pipeline will not look the same. I'd bet on it. If you want it: Comment "OUTBOUND" and I'll send the link over.