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CLAUDE + YOUTUBE SHORTS = $36,591/MONTH, ZERO CAMERA TIME > outliers pulled from a burner account trained on 6-7 competitors, not guessed > titles, thumbnails and hooks each written as separate Claude prompts > three ways paid: ad revenue, sponsors $500-10k, their own product > ignored vanity metrics, tracked... show more

kuch (vibecoding arc)

49,638 subscribers

14,032 次观看 • 1 个月前 •via X (Twitter)

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100K SUBSCRIBERS IN 30 DAYS ISN'T LUCK, IT'S A SYSTEM do you understand what actually fills those 30 days.. it never starts with a camera it starts with Claude sizing a niche on two filters: passion and TAM. then shaping a brand so specific a bigger channel can't steal it that gap is real money. a ripped thumbnail with no brand dies at 100 views. the same idea under a real brand hits 800,000 then the ideas stop being guesses. a burner account feeds you whatever is already popping in your niche, and you only touch concepts with 4+ outliers behind them each survivor gets packaged into titles, thumbnails and hooks. you swap them until one spikes then the money turns on. ads at $2-10 per 1,000 views. sponsors at $500 to $10,000. your own product behind both at that point you're not posting and praying the whole playbook is written out, every prompt

kuch (vibecoding arc)

15,686 次观看 • 1 个月前

A 20-year-old student built a YouTube machine that runs itself and prints $38,000 a month The whole system runs on Claude and Premiere Pro stitched together. Claude scouts high-CPM niches and writes every script. Python pipes the scripts into Premiere where the videos get cut and exported on their own. The channels were already past a million views on Shorts in the first month. On the side he sells the same pipeline as a service to other creators. $400 per client video, 20 minutes of his actual time per delivery. Around 25 videos a week stacks up to roughly $10,000 from clients alone. Add the channel revenue on top and the whole thing clears $38,000 a month. He's 20, no team, no office, no editor, just a laptop running Claude 24/7. Save this before every faceless YouTuber in your feed switches to the same stack.

A 20-year-old student built a YouTube machine that runs itself and prints $38,000 a month The whole system runs on Claude and Premiere Pro stitched together. Claude scouts high-CPM niches and writes every script. Python pipes the scripts into Premiere where the videos get cut and exported on their own. The channels were already past a million views on Shorts in the first month. On the side he sells the same pipeline as a service to other creators. $400 per client video, 20 minutes of his actual time per delivery. Around 25 videos a week stacks up to roughly $10,000 from clients alone. Add the channel revenue on top and the whole thing clears $38,000 a month. He's 20, no team, no office, no editor, just a laptop running Claude 24/7. Save this before every faceless YouTuber in your feed switches to the same stack.

winkle.

66,271 次观看 • 3 个月前

THIS DEVELOPER BOUGHT A $799 MAC MINI AND NOW RUNS 5 FACELESS YOUTUBE CHANNELS FOR $55/MONTH WITH CLAUDE AGENTS the trick is not buying a stronger computer. the trick is giving claude its own 24/7 machine, so it can take over the screen, click through tools, move files, write scripts and keep working while his main laptop stays untouched each channel runs from its own skill. documentary, luxury, gaming, deep sea and infrastructure all have different tones, seo formats and script rules. claude can turn one topic into a 1,600-2,000 word script, 8-10 visual prompts and 3 title options without a new brief every night the whole system costs $799 once and around $55 a month to operate. claude, elevenlabs, midjourney and electricity replace the manual loop most faceless creators get stuck in after month two. the mac mini itself stays online for about $3/month setup takes around 45 minutes. fresh macos install, 32gb ram, claude desktop, computer use permissions, google drive routing, connectors and one dedicated output folder. after that the machine becomes the place where the work happens most people try to scale youtube by adding more channels and more manual work. this flips the model. one box handles research, scripts, prompts, descriptions and scheduling while the human does one review session per week month 6 is where this starts getting dangerous. the channels that survive the first 90 days are not just posting videos anymore. they are running a tiny content factory from a box under the desk

THIS DEVELOPER BOUGHT A $799 MAC MINI AND NOW RUNS 5 FACELESS YOUTUBE CHANNELS FOR $55/MONTH WITH CLAUDE AGENTS the trick is not buying a stronger computer. the trick is giving claude its own 24/7 machine, so it can take over the screen, click through tools, move files, write scripts and keep working while his main laptop stays untouched each channel runs from its own skill. documentary, luxury, gaming, deep sea and infrastructure all have different tones, seo formats and script rules. claude can turn one topic into a 1,600-2,000 word script, 8-10 visual prompts and 3 title options without a new brief every night the whole system costs $799 once and around $55 a month to operate. claude, elevenlabs, midjourney and electricity replace the manual loop most faceless creators get stuck in after month two. the mac mini itself stays online for about $3/month setup takes around 45 minutes. fresh macos install, 32gb ram, claude desktop, computer use permissions, google drive routing, connectors and one dedicated output folder. after that the machine becomes the place where the work happens most people try to scale youtube by adding more channels and more manual work. this flips the model. one box handles research, scripts, prompts, descriptions and scheduling while the human does one review session per week month 6 is where this starts getting dangerous. the channels that survive the first 90 days are not just posting videos anymore. they are running a tiny content factory from a box under the desk

Gipp 🦅

19,829 次观看 • 2 个月前

Claude Code + Nano Banana 2 is f*cking cracked 🤯 I built a system inside Claude Code that researches any brand, writes 40 ad prompts from scratch, and fires them all to Nano Banana 2. One brand name + one URL = 40 production-ready static ads. All inside Claude Code. I took Alex Cooper's brilliant framework and automated the whole thing inside Claude Code. Perfect for DTC brands and agencies who need high-volume ad creative without briefing a designer or spending hours in Canva. If you're finding winning ad concepts on Meta and manually recreating them one at a time in Higgsfield — copying prompts, pasting product details, tweaking aspect ratios, downloading, organizing... This system eliminates the entire loop: → Give Claude a brand name and URL → It researches the brand's fonts, colors, packaging, and photography style → Builds a Brand DNA document from scratch → Fills in Alex's 40 proven ad templates (headline, us vs them, testimonial, UGC, review cards, stat callouts) with brand-specific details → Fires every prompt to Nano Banana 2 with your product photos as reference → Downloads finished ads into organized folders with an HTML gallery No Higgsfield. No manual prompt filling. No copy-pasting between tools. What you get: → 40 ad formats filled with your exact brand colors, fonts, and copy → 4 variations per format so you pick the best output → Product photos passed as reference so the model matches your real packaging → A reusable system — new brand, new folder, same pipeline Built 100% in Claude Code with Nano Banana 2. I put together a full playbook & Loom video showing the exact process to set this up yourself. Want access for free? > Like this post > Comment "NANO" And I'll send it over (must be following so I can DM)

Mike Futia

424,190 次观看 • 5 个月前

I just built a Meta Ad Comment Spy in Claude Code that turns every comment on your ads into a voice-of-customer goldmine 🤯 Point Comment Spy at your ad account → it pulls every comment and reply, clusters them into objections, questions, and proof, and writes your next 5 ad angles from real customer language. All inside Claude Code. Perfect for DTC brands and agencies who want ad copy that's already written, buried in the comments on their own ads. If your sharpest hooks come from how customers actually talk, but mining them means scrolling your ad comments by hand, copy-pasting the good ones into a doc, and missing the objections quietly killing your conversion rate... Comment Spy kills the entire loop: → Ranks your ads by spend, so you mine the ones that matter → Pulls every comment AND reply thread through the Meta API → Clusters them: objections, buying questions, desires, proof → Surfaces the exact phrases to drop into your next ad → Flags the conversion leaks hiding in your comments — dead links, broken lead-magnet delivery → Renders the whole thing as a dashboard No manual scrolling. No missed objections. No $99/mo "ad intelligence" subscription. What you get: → Every comment off your top ads, pulled automatically → Clustered into objections, questions, proof, and desires → 5 ad angles written from your real customer language → A dark-mode dashboard, every quote traced to the ad that drew it Built 100% in Claude Code, on the Meta API. I put together a step-by-step playbook showing you how to build Comment Spy yourself: the Meta API setup, the exact prompts, the whole pipeline. Want the playbook for free? > Like this post > Comment "SPY" And I'll send it over (must be following so I can DM)

I just built a Meta Ad Comment Spy in Claude Code that turns every comment on your ads into a voice-of-customer goldmine 🤯 Point Comment Spy at your ad account → it pulls every comment and reply, clusters them into objections, questions, and proof, and writes your next 5 ad angles from real customer language. All inside Claude Code. Perfect for DTC brands and agencies who want ad copy that's already written, buried in the comments on their own ads. If your sharpest hooks come from how customers actually talk, but mining them means scrolling your ad comments by hand, copy-pasting the good ones into a doc, and missing the objections quietly killing your conversion rate... Comment Spy kills the entire loop: → Ranks your ads by spend, so you mine the ones that matter → Pulls every comment AND reply thread through the Meta API → Clusters them: objections, buying questions, desires, proof → Surfaces the exact phrases to drop into your next ad → Flags the conversion leaks hiding in your comments — dead links, broken lead-magnet delivery → Renders the whole thing as a dashboard No manual scrolling. No missed objections. No $99/mo "ad intelligence" subscription. What you get: → Every comment off your top ads, pulled automatically → Clustered into objections, questions, proof, and desires → 5 ad angles written from your real customer language → A dark-mode dashboard, every quote traced to the ad that drew it Built 100% in Claude Code, on the Meta API. I put together a step-by-step playbook showing you how to build Comment Spy yourself: the Meta API setup, the exact prompts, the whole pipeline. Want the playbook for free? > Like this post > Comment "SPY" And I'll send it over (must be following so I can DM)

Mike Futia

14,434 次观看 • 1 个月前

THIS GUY HAS CLAUDE DOING $500-700 A DAY SELLING ONE DIGITAL PRODUCT, WITH ZERO SPENT ON ADS He sells one digital product and lets Claude run the content that drives the sales. No ad spend, sales starting within a day or two. The product is the easy part. The content engine is what actually sells it, and that's the whole method The exact steps: 1. Find the niche. Ask Claude for specific problems people already pay to solve in a space you know, then check Gumroad and Etsy search to confirm people are buying. Specific beats generic every time 2. Build the product with Claude. Have it design a Notion template for one exact buyer, sections and dashboard included. Recreate it in Notion, set it to "anyone can duplicate." 3. List it on Gumroad. Free account, New Product, paste the Notion link, price it, grab your checkout link 4. Run the 3-prompt content engine. This is the part that sells. First prompt: competition mining, have Claude find the top-selling competitor products and pull the most viral content mentioning them. Second: have it extract the structures and frameworks from that content into reusable templates. Third: feed it your product and those templates and have it write fresh viral content for you 5. Rerun it weekly. The niche shifts, so refresh the templates every week. The winning ones you reuse again and again Build once, post daily, let the content do the selling Bookmark this

THIS GUY HAS CLAUDE DOING $500-700 A DAY SELLING ONE DIGITAL PRODUCT, WITH ZERO SPENT ON ADS He sells one digital product and lets Claude run the content that drives the sales. No ad spend, sales starting within a day or two. The product is the easy part. The content engine is what actually sells it, and that's the whole method The exact steps: 1. Find the niche. Ask Claude for specific problems people already pay to solve in a space you know, then check Gumroad and Etsy search to confirm people are buying. Specific beats generic every time 2. Build the product with Claude. Have it design a Notion template for one exact buyer, sections and dashboard included. Recreate it in Notion, set it to "anyone can duplicate." 3. List it on Gumroad. Free account, New Product, paste the Notion link, price it, grab your checkout link 4. Run the 3-prompt content engine. This is the part that sells. First prompt: competition mining, have Claude find the top-selling competitor products and pull the most viral content mentioning them. Second: have it extract the structures and frameworks from that content into reusable templates. Third: feed it your product and those templates and have it write fresh viral content for you 5. Rerun it weekly. The niche shifts, so refresh the templates every week. The winning ones you reuse again and again Build once, post daily, let the content do the selling Bookmark this

Yarchi

100,850 次观看 • 2 个月前

I just vibe coded a static ad generator in Claude Code that creates 100+ Facebook ads in minutes 🤯 All using the new insane ChatGPT Images 2.0 model. Upload one image of your brand or product → get 100+ brand-new ad concepts across every DR archetype, each one matched to a specific customer persona. Built 100% in Claude Code. Perfect for DTC brands and agencies who need to rapidly test mass creative statics at scale. Here's how it works: → Upload a single image of your brand or product → Add your brand kit (colors, fonts, logos) → Tool generates 10 customer personas from your brand research (Depleted Woman, Burned-Out Professional, Brain-Fogged Mom) → Pick how many concepts you want (40, 60, 100+) across archetypes — Bold Billboard, Listicle, iPhone Notes, iMessage, UI Hijack, Us vs Them, Press/Authority, Lo-Fi Sketch, UGC → Hit "Generate All" → finished ads render in seconds, each one targeting a specific persona with its own copy angle No more paying "static ad agencies" $3,000 per month. What you get: - 100+ on-brand static ads from a single product photo - Perfect product and text adherence powered by ChatGPT Images 2.0 - Persona-specific copy on every ad, no generic hooks - Iterate and scale statics in minutes instead of weeks - Reusable brand kits + persona libraries you build once and pull from forever - Every ad ships with the exact prompt and persona attached, so you can iterate instead of starting over. This is essentially a static ad agency in a box. I put together a complete playbook which includes EVERY single prompt I used to make this in Claude Code. Want all the prompts for free? > Like this post > Comment "STATICS" And I'll send it over (must be following so I can DM)

Mike Futia

108,677 次观看 • 3 个月前

I just built a Claude Code plugin that runs your entire Meta ads workflow 🤯 5 skills, one plugin: it spies on competitors, maps your whole category, writes your ad copy, grades it before launch, and audits your live ad account like a $10K agency. All inside Claude Code. And now, with Claude Fable 5, it's even more insane. Perfect for DTC brands, media buyers, and agencies tired of paying for 5 different ad tools that don't talk to each other. If you're spending hours scrolling the Ad Library by hand, exporting CSVs from Ads Manager every Monday, staring at a blank doc trying to write ad variation #14, launching creative and praying it converts... This plugin eliminates the entire loop: → /spy pulls every active ad a competitor is running, ranked by run-time (longevity = proven winners) → /competitors-extractor maps 3-5 brands head-to-head and finds the angles nobody's running → /bulk-creative spins 20 on-brand copy variations off the winning angle → /ad-score grades every ad 0-100 across 6 dimensions before you spend a cent → /ad-matter audits your live Meta account through Meta's official MCP and hands you a prioritized fix list No more Ad Library scrolling. No more $300/mo spy tools. No more launching blind. What you get: → Competitor intel ranked by what's actually been running longest → The open angles in your category nobody is using yet → 20 ad variations in your brand voice, on command → A 0-100 health score on your live ad account with a fix-this-week list Built 100% in Claude Code. I wrote a free step-by-step Playbook that walks you through building this entire plugin yourself: every skill, every script, every scoring rubric. Want access for free? >Like this post > Comment "SCALE" And I'll send it over (must be following so I can DM)

Mike Futia

33,624 次观看 • 2 个月前

$I JUST SHIPPED AN MCP THAT LETS CLAUDE DO YOUR ENTIRE REDDIT MARKETING IN ONE PROMPT 30 second install. plugs directly into claude, cursor, or any MCP client. it gives claude full access to my tool's main marketing features + the ability to scrape reddit completely i tested it on my own startup today and it went actually INSANE I asked it to: 1\ find 30 founders struggling to market their startup across related subreddits it came back in under a minute with real usernames, direct links, and the exact post/comment each person left showing buying intent 2\ pull 30 keywords that rank on both google SEO, reddit SEO and GSEO for my product it gave me keywords scored on conversion potential with buyer intent 3\ take one of those keywords and write a reddit post that would actually rank it wrote the full post in the tone of the target subreddit, formatted to not get removed by mods, optimized for the keyword, ready to post 30 leads + 30 keywords + a ranked reddit post from three prompts in under 5 minutes founders used to pay agencies 10k a month to do this manually to get THOUSANDS of new users every month and compounding traffic now you just install the MCP and let claude run the entire pipeline to market while you sleep$

I JUST SHIPPED AN MCP THAT LETS CLAUDE DO YOUR ENTIRE REDDIT MARKETING IN ONE PROMPT 30 second install. plugs directly into claude, cursor, or any MCP client. it gives claude full access to my tool's main marketing features + the ability to scrape reddit completely i tested it on my own startup today and it went actually INSANE I asked it to: 1\ find 30 founders struggling to market their startup across related subreddits it came back in under a minute with real usernames, direct links, and the exact post/comment each person left showing buying intent 2\ pull 30 keywords that rank on both google SEO, reddit SEO and GSEO for my product it gave me keywords scored on conversion potential with buyer intent 3\ take one of those keywords and write a reddit post that would actually rank it wrote the full post in the tone of the target subreddit, formatted to not get removed by mods, optimized for the keyword, ready to post 30 leads + 30 keywords + a ranked reddit post from three prompts in under 5 minutes founders used to pay agencies 10k a month to do this manually to get THOUSANDS of new users every month and compounding traffic now you just install the MCP and let claude run the entire pipeline to market while you sleep

Om Patel

10,868 次观看 • 3 个月前

I just built a Claude Code plugin that spies on your competitors' entire funnel 🤯 Every "ad spy" tool stops at the ad. This one goes past the click → it finds their proven landing pages, tears down why each one converts, and walks the funnel all the way to the edge of checkout. All inside Claude Code. Perfect for DTC brands and agencies who keep screenshotting competitor ads but never see what actually happens after the click. If you're swiping competitor ads for "research," saving them to a board, and still guessing which landing page is doing the heavy lifting... guessing which offer is actually on the page... guessing what they're stacking in the cart to lift AOV... this plugin pulls the whole funnel apart for you: → Pulls every active ad from the Meta Ad Library and clusters them by landing page → Ranks pages by ad volume × run duration, so you see the proven winners, not the tests → Tears down each winning page: hook, offer, social proof, price framing, urgency → Builds a cart and reads the gift-with-purchase, bundles, and free-shipping thresholds → Walks checkout to capture order bumps and payment-plan offers (stops before "Pay now") No more screenshotting ads one at a time. No more guessing which page converts. No more missing the upsells that fund their ad spend. What you get: → A ranked leaderboard of any competitor's proven landing pages → A full teardown of why each one converts → Their entire pre-purchase upsell funnel, mapped → A SaaS-style report with everything saved locally Built 100% in Claude Code. I put together a full playbook showing the exact process to build this yourself — the stages, the scripts, and all of the prompts. Want it for free? > Like this post > Comment "SPY" And I'll send it over (must be following so I can DM)

I just built a Claude Code plugin that spies on your competitors' entire funnel 🤯 Every "ad spy" tool stops at the ad. This one goes past the click → it finds their proven landing pages, tears down why each one converts, and walks the funnel all the way to the edge of checkout. All inside Claude Code. Perfect for DTC brands and agencies who keep screenshotting competitor ads but never see what actually happens after the click. If you're swiping competitor ads for "research," saving them to a board, and still guessing which landing page is doing the heavy lifting... guessing which offer is actually on the page... guessing what they're stacking in the cart to lift AOV... this plugin pulls the whole funnel apart for you: → Pulls every active ad from the Meta Ad Library and clusters them by landing page → Ranks pages by ad volume × run duration, so you see the proven winners, not the tests → Tears down each winning page: hook, offer, social proof, price framing, urgency → Builds a cart and reads the gift-with-purchase, bundles, and free-shipping thresholds → Walks checkout to capture order bumps and payment-plan offers (stops before "Pay now") No more screenshotting ads one at a time. No more guessing which page converts. No more missing the upsells that fund their ad spend. What you get: → A ranked leaderboard of any competitor's proven landing pages → A full teardown of why each one converts → Their entire pre-purchase upsell funnel, mapped → A SaaS-style report with everything saved locally Built 100% in Claude Code. I put together a full playbook showing the exact process to build this yourself — the stages, the scripts, and all of the prompts. Want it for free? > Like this post > Comment "SPY" And I'll send it over (must be following so I can DM)

Mike Futia

35,976 次观看 • 2 个月前

A 24-year-old launched a faceless YouTube channel 13 days ago. In the first month, he has already accumulated $4,000, but he has not shot a single frame.. His investment: a $20 subscription to Claude. No camera, no editor, no voice of his own. THE SYSTEM WORKS LIKE THIS: - Claude writes the full script from one topic prompt - an AI voice narrates it - an AI tool generates the animation and the visuals - one template, repeated forever: "the economics of owning an airport" / "…a private jet" / "…a hospital" - it publishes on a schedule while he sleeps The first 12 days, from zero: > "Why a Fan Can Kill You" -> 272,000 views > second video -> 136,000 views in 6 days > subscribers -> 4,300 > month-one pace -> ~$4,000 And it's replicable. One of his students launched "Mr. Finance" on the same template 13 days ago: > 10,800 subscribers > finance-niche RPM -> ~$7 per 1,000 views > one video on the economics of shopping malls -> $500+ on its own He didn't become a creator. He built a press that prints episodes. The whole stack is public. Everyone has the same $20 Claude. He just pointed it at a niche and refused to stop publishing.

A 24-year-old launched a faceless YouTube channel 13 days ago. In the first month, he has already accumulated $4,000, but he has not shot a single frame.. His investment: a $20 subscription to Claude. No camera, no editor, no voice of his own. THE SYSTEM WORKS LIKE THIS: - Claude writes the full script from one topic prompt - an AI voice narrates it - an AI tool generates the animation and the visuals - one template, repeated forever: "the economics of owning an airport" / "…a private jet" / "…a hospital" - it publishes on a schedule while he sleeps The first 12 days, from zero: > "Why a Fan Can Kill You" -> 272,000 views > second video -> 136,000 views in 6 days > subscribers -> 4,300 > month-one pace -> ~$4,000 And it's replicable. One of his students launched "Mr. Finance" on the same template 13 days ago: > 10,800 subscribers > finance-niche RPM -> ~$7 per 1,000 views > one video on the economics of shopping malls -> $500+ on its own He didn't become a creator. He built a press that prints episodes. The whole stack is public. Everyone has the same $20 Claude. He just pointed it at a niche and refused to stop publishing.

Ridark

142,816 次观看 • 27 天前

this Claude workflow gives you more ad angles than a $10K creative team it runs the entire research-to-brief pipeline on autopilot and gives more ready to test ad angles in a day than most teams come up with in a quarter. full wakthrough below: step 1: scrape the source – claude + apify’s mcp hit TikTok + Instagram directly (add reddit, amazon, or whatever else you want) – pull the most viral videos in the sleep, recovery, and biohacking space – grab instagram reels, influencer posts, and trending UGC all in one sweep step 2: extract the gold – claude summarizes exactly how customers describe problems + benefits in the comments – flags misconceptions worth addressing (“i can just catch up on weekends” / “temperature doesn’t affect sleep”) – pulls emotional hooks + phrases straight from captions and replies – grabs full transcripts of the viral videos so nothing gets lost step 3: store it – save the full analysis as a JSON file – save the transcripts for reference – have claude generate a reusable “context profile” with target audience, product, and biz info step 4: auto-generate everything with a new claude project – upload the JSON analysis, winning scripts, and context profile into a new claude project – now you can instantly spin up: > ready-to-test angles for UGC + paid ads > scripts, headlines, and CTAs that sound like they came from your ICP’s group chat > ad copy pulled straight from your audience’s own words > fresh ideas every week without touching the TikTok search bar result: – your research loop is instant – your creatives start from what’s already resonating – your team goes from “we need ideas” to “we have too many to test” Any DTC brand could run this stack and own their niche’s creative conversation. i put together a full setup guide + mind map for turning claude into your own creative director. like this post and comment “stack” and i’ll send it over (must be following so i can dm).

J.B.

57,190 次观看 • 1 年前

She's 21. Started with ONE gym video. Now she's making $30k/month off AI girls that never skip leg day — and never existed. 21 years old. No modeling agency. No camera crew. Just Claude, a laptop, and one workout clip. She noticed something: fitness content gets insane engagement, but real creators burn out — no gym breaks, no bad angles, no off days. So she built an AI version instead. Here's exactly what she did: 1. Took one high-quality gym video as a "base" — movement, lighting, vibe — and used it to define the persona's whole aesthetic 2. Used Claude to write the persona's bio, captions, and DM personality — someone people would actually want to follow 3. Used separate AI tools to generate consistent images/clips in that same gym-girl style — always on-brand, always "in character" 4. Posted like a real fitness page: progress updates, workout tips, motivational captions — not obviously AI 5. Built the funnel: free gym content → "form check" DMs → paid subscription → 1-on-1 paid coaching chat 6. Used Claude to A/B test captions and hooks, kept only what actually drove clicks 7. Reinvested profit into more content variety — different workouts, outfits, locations — so the persona felt alive, not repetitive 8. Automated replies for the free tier, kept the paid tier "personal" to boost retention Result: one gym persona, $30k/month, zero actual gym membership. The fitness niche alone is one of the most underrated angles in this whole space — the engagement is already built in, you just need consistency. Save this before it's gone.

DenlitL

4,138,560 次观看 • 13 天前

You can now spy on your competitor's entire funnel inside Claude Code 🤯 I built a plugin that finds a competitor's proven landing pages, tears down why each one converts, and walks the funnel all the way to checkout. In the demo below I run it on Jones Road Beauty and Grüns, both funnels mapped end to end. All inside Claude Code. Perfect for DTC brands and agencies who keep swiping competitor ads but never see what's actually converting after the click. If you've studied a competitor's ads for weeks but have no idea which landing page they actually point to... A brand can run 50 ads while only two of them lead to the page carrying the whole account — and the ad library won't tell you which. You copy the creative, miss the offer on the page, and never see the cart stack that's quietly funding their ad spend. This plugin pulls the whole funnel apart for you: → Pulls every active ad from the Meta Ad Library and clusters them by landing page → Ranks pages by ad volume and run duration, so the proven winners surface first — not the tests → Tears down each winning page: hook, offer, social proof, price framing, urgency → Reads the cart for gift-with-purchase, bundles, and free-shipping thresholds → Walks checkout to map order bumps and payment offers (stops before "Pay now") No swiping ads one at a time. No guessing which page converts. No missing the upsells that fund their ad spend. What you get: → A ranked leaderboard of any competitor's proven landing pages → A full teardown of why each one converts → Their entire pre-purchase upsell funnel, mapped → A SaaS-style report with everything saved locally Built 100% in Claude Code. I put together a full playbook showing the exact process to build this yourself — the stages, the scripts, and all the prompts. Want it for free? > Like this post > Comment "SPY" And I'll send it over (must be following so I can DM)

Mike Futia

17,366 次观看 • 2 个月前

Most people will never hear this level of alpha. A guy who has made over $3 million with faceless YouTube just dropped the real process for hitting $30k per month. Not the fake "zero effort" guru stuff. The actual playbook: - Use ViewStats to find faceless channels already doing $10K + per month - Deep dive their top 10 videos (titles, thumbnails, hooks, storytelling structure) - Reverse engineer the exact formula - Outsource production on Upwork for $100-200 per video This isn’t “post once and retire.” This is building real assets that print while you sleep. While most of Crypto Twitter is still chasing 10x coins and coping... The smart operators are quietly buying proven formulas and scaling faceless cash machines with actual budgets. This is the type of high-level execution that separates the ones who make it from the ones who stay dreaming. This exact framework is what built multiple 6 and 7-figure faceless empires. If this one actually hit different… smash like and follow me. I only post this level of alpha here.

Most people will never hear this level of alpha. A guy who has made over $3 million with faceless YouTube just dropped the real process for hitting $30k per month. Not the fake "zero effort" guru stuff. The actual playbook: - Use ViewStats to find faceless channels already doing $10K + per month - Deep dive their top 10 videos (titles, thumbnails, hooks, storytelling structure) - Reverse engineer the exact formula - Outsource production on Upwork for $100-200 per video This isn’t “post once and retire.” This is building real assets that print while you sleep. While most of Crypto Twitter is still chasing 10x coins and coping... The smart operators are quietly buying proven formulas and scaling faceless cash machines with actual budgets. This is the type of high-level execution that separates the ones who make it from the ones who stay dreaming. This exact framework is what built multiple 6 and 7-figure faceless empires. If this one actually hit different… smash like and follow me. I only post this level of alpha here.

Frogify

148,672 次观看 • 2 个月前

Announcing Meta Ads skills in Claude 🦢 This is a suite of skills that turns Claude into a Meta Ads expert. You invoke it with a single command /gooseworks and Claude can now access skills and APIs like an expert ad team. Here's what it can do 👇 --- To use it, run npx gooseworks install --claude RESEARCH & INTEL 1. /gooseworks Find trending topics in my niche to run ads on right now Skill used: trending-ad-hook-spotter 2. /gooseworks Scrape my competitors' ads and reverse-engineer their funnel Skill used: competitor-ad-intelligence 3. /gooseworks Mine my reviews and Reddit for the angles that actually convert Skill used: ad-angle-miner 4. /gooseworks Research my brand and build a reusable context pack for ads Skill used: brand-research --- DIAGNOSE PERFORMANCE 5. /gooseworks Diagnose my Meta campaigns — what to cut, keep, or scale Skill used: meta-ads-analyzer 6. /gooseworks Find what's wasting budget across Google, Meta, and LinkedIn Skill used: ad-campaign-analyzer 7. /gooseworks Show true CAC per qualified lead, not vanity CPA Skill used: ad-lead-quality-analyzer 8. /gooseworks Check if my ad's promise carries through to the landing page Skill used: ad-to-landing-page-auditor --- PLAN AND REVIEW 9. /gooseworks Tell me which 1–2 paid channels to start with and a 90-day plan Skill used: paid-channel-prioritizer 11. /gooseworks Build Meta audiences, ad sets and copy from my ICP Skill used: meta-ads-campaign-builder 12. /gooseworks Pre-flight my ad copy against Meta policy before I spend Skill used: meta-ad-policy-checker --- MAKE CREATIVES 13. /goose-ads Turn that research into branded static ad creatives for my product Skill used: goose-ads All directly in Claude Code or Cowork. Start by installing npx gooseworks install --claude Comment Goose below and follow, and I'll DM you the full open-source library with 100+ skills to turn Claude into your growth team.

Shiv

106,060 次观看 • 1 个月前

REAL ESTATE PEOPLE WILL HATE HIM FOR THIS. HE BUILT A CLAUDE AGENT THAT TURNS ANY LISTING INTO A SELLABLE VIDEO ON ITS OWN Playbook: connect Claude to a video generator, paste a listing, get a cinematic tour of every room, sell it to the agent But typing the prompt for every listing doesn't scale. He turned it into a skill his Claude runs on its own Here's how to build the automated version: 1. Connect the video engine once. In Claude, go to Customize, Connectors, Add Custom Connector, name it Higgsfield, and paste the server URL from higgsfield. ai/mcp. Authenticate through your account. No API keys. Now Claude can generate video straight from chat 2. Turn the workflow into a skill. Instead of pasting the same prompt every time, have Claude build a skill. Tell it: "Create a skill called listing-to-video. When I give it a listing URL, scrape the room photos, generate a cinematic clip of each room with Higgsfield, and save them to a folder." Now the whole process is one command, not a wall of text 3. Let the agent run the listing. Hand it a URL and say "run listing-to-video on this." It pulls the photos, fires each room through the video model, and brings the clips back. You wrote the prompt once, inside the skill. You never write it again 4. Stitch and deliver. Drop the clips together into one tour. Send a free sample to the listing's agent, then charge per video or a monthly rate for ongoing listings 5. Scale it with your team. Add a skill that drafts the outreach email and one that builds a simple landing page for the agent. Now one operator runs sourcing, production, and pitching from a single Claude session The edge isn't generating one video. It's building the skill once so every future listing runs itself Bookmark this

REAL ESTATE PEOPLE WILL HATE HIM FOR THIS. HE BUILT A CLAUDE AGENT THAT TURNS ANY LISTING INTO A SELLABLE VIDEO ON ITS OWN Playbook: connect Claude to a video generator, paste a listing, get a cinematic tour of every room, sell it to the agent But typing the prompt for every listing doesn't scale. He turned it into a skill his Claude runs on its own Here's how to build the automated version: 1. Connect the video engine once. In Claude, go to Customize, Connectors, Add Custom Connector, name it Higgsfield, and paste the server URL from higgsfield. ai/mcp. Authenticate through your account. No API keys. Now Claude can generate video straight from chat 2. Turn the workflow into a skill. Instead of pasting the same prompt every time, have Claude build a skill. Tell it: "Create a skill called listing-to-video. When I give it a listing URL, scrape the room photos, generate a cinematic clip of each room with Higgsfield, and save them to a folder." Now the whole process is one command, not a wall of text 3. Let the agent run the listing. Hand it a URL and say "run listing-to-video on this." It pulls the photos, fires each room through the video model, and brings the clips back. You wrote the prompt once, inside the skill. You never write it again 4. Stitch and deliver. Drop the clips together into one tour. Send a free sample to the listing's agent, then charge per video or a monthly rate for ongoing listings 5. Scale it with your team. Add a skill that drafts the outreach email and one that builds a simple landing page for the agent. Now one operator runs sourcing, production, and pitching from a single Claude session The edge isn't generating one video. It's building the skill once so every future listing runs itself Bookmark this

Yarchi

54,840 次观看 • 2 个月前

CLAUDE "SKILLS" BUILT ME AN AI AGENT ARMY in 33 minutes Claude Skills fix one of the biggest problems in AI.... context rot. when you overload a model with long prompts, scattered files, and inconsistent instructions, it BREAKS. Claude Skills solve that by packaging everything an AI needs into one structured workflow. each Claude Skill includes: 1. instructions that define the role and process 2. reference materials that capture brand voice, examples, and style 3. code scripts that handle data and make outputs deterministic together, they act like a trained employee...reliable, consistent, and specialized. instead of dumping chaos into a chatbot, you’re building a clear operating system for how work gets done. in this The Startup Ideas Podcast (SIP) 🧃 episode, we built an entire team of AI employees inside Claude using Claude Skills. each had a specific job and worked in sync: – one generated UTM links and tracked campaign performance automatically – one ran A/B test idea generation using real website data and the ICE framework – one analyzed marketing reports, pulling actual numbers from CSVs and surfacing insights – one turned viral tweets into newsletters that matched my tone and writing style perfectly we then layered in sub-agents basically smaller Claude instances that split large tasks into specialized roles and passed results back. the result is a new kind of reliability. you can automate marketing, content creation, analytics, and reporting without losing accuracy, consistency, or creativity. Claude Skills turn messy, repeatable work into clean, reusable systems that anyone can deploy. in this episode, we walk through the full build writing the instructions, linking sub-agents, connecting data, and watching them collaborate in real time. thanks to amirmxt for dropping this sauce. most people charge thousands to teach this kind of AI systems design. this one’s free. watch the full masterclass on The Startup Ideas Podcast (SIP) 🧃 below on X or YouTube ( . claude skills isn't perfect but it's a step in the right direction pretty cool many will bookmark this but never try it but the key is getting your hands dirty learn and lightbulb moments will hit IM ROOTING FOR YOU

GREG ISENBERG

189,753 次观看 • 9 个月前

Nobody's talking about the Claude trick that fixes every Seedance 2.0 video mistake. A cinematic action scene, an animated sequence, a product ad, and a dialogue scene are completely different types of content. Different camera language, different pacing, different reference logic. Most people try to force all of it through one universal prompt. The fix turns out to be simpler than expected: Claude Skills. It's not some secret hack. It's a file of instructions you load into Claude for one specific type of task. Once it's loaded, Claude stops acting like a general assistant and starts thinking like an expert in that one niche — with its own set of rules for that scene type. Here's what that looks like in practice: ▪ Cinematic skill — generates real camera language: dolly moves, crane shots, rack focus, shot discipline across multiple cuts. Test: a medieval battle between two armies, 15 seconds, dark fantasy. Result — three shots with the shot logic of an actual film, not just "epic battle" typed as text. ▪ Animation skill — locks in style and physics before a single shot is built. One test: a rain-soaked shonen fight in the style of Tokyo Revengers. Another: a quiet Ghibli-style farm scene. Same skill, completely different visual output — because the style gets fixed at the very top of the prompt. ▪ Product ad skill — keeps the product front and center in every shot: clean hero framing, commercial lighting, a full product description built from the reference image before any shots are generated. ▪ Dialogue skill — this is where most people fall apart. Lip sync, emotional direction, shot structure, and audio cues all have to work together. Test: an interrogation scene with a fourth-wall break — and the moment landed exactly as written, down to the pause and tone. The core idea is simple: instead of writing a prompt from scratch every time and hoping for the best, you build one skill per content type — and Claude asks the right setup questions (genre, tone, shot count, camera energy) before generating a fully structured Seedance 2.0 prompt. One prompt template for everything is exactly why 90% of AI videos look the same. This 13-minute video is free, and it's more useful than a $500 course. YouTube: "Skai Generated" - Thank you for sharing this invaluable material with us.

Nobody's talking about the Claude trick that fixes every Seedance 2.0 video mistake. A cinematic action scene, an animated sequence, a product ad, and a dialogue scene are completely different types of content. Different camera language, different pacing, different reference logic. Most people try to force all of it through one universal prompt. The fix turns out to be simpler than expected: Claude Skills. It's not some secret hack. It's a file of instructions you load into Claude for one specific type of task. Once it's loaded, Claude stops acting like a general assistant and starts thinking like an expert in that one niche — with its own set of rules for that scene type. Here's what that looks like in practice: ▪ Cinematic skill — generates real camera language: dolly moves, crane shots, rack focus, shot discipline across multiple cuts. Test: a medieval battle between two armies, 15 seconds, dark fantasy. Result — three shots with the shot logic of an actual film, not just "epic battle" typed as text. ▪ Animation skill — locks in style and physics before a single shot is built. One test: a rain-soaked shonen fight in the style of Tokyo Revengers. Another: a quiet Ghibli-style farm scene. Same skill, completely different visual output — because the style gets fixed at the very top of the prompt. ▪ Product ad skill — keeps the product front and center in every shot: clean hero framing, commercial lighting, a full product description built from the reference image before any shots are generated. ▪ Dialogue skill — this is where most people fall apart. Lip sync, emotional direction, shot structure, and audio cues all have to work together. Test: an interrogation scene with a fourth-wall break — and the moment landed exactly as written, down to the pause and tone. The core idea is simple: instead of writing a prompt from scratch every time and hoping for the best, you build one skill per content type — and Claude asks the right setup questions (genre, tone, shot count, camera energy) before generating a fully structured Seedance 2.0 prompt. One prompt template for everything is exactly why 90% of AI videos look the same. This 13-minute video is free, and it's more useful than a $500 course. YouTube: "Skai Generated" - Thank you for sharing this invaluable material with us.

Zentrix⌚️

45,250 次观看 • 25 天前

An ex-OpenAI engineer walked up to me at a meetup in SF I was showing my Polymarket terminal. He looked at the screen for ten seconds and said one sentence. "You're trading blind. The data is sitting in the open and you're writing prompts" I didn't understand. What data. He took my laptop. Opened one repository. 86 million trades. Every wallet. Every entry. Every exit. The entire Polymarket history since day one. "At OpenAI models don't guess. They read. Connect Claude Code to this dataset and say - find every wallet with a win rate above 70% and more than 100 trades" I asked - why Claude and not GPT? He looked at me like I was an idiot. "Because Claude Code connects to the repo directly. It reads the entire codebase. It's not a chatbox. It's a runtime" That evening I connected it. Claude pulled 47 wallets in 4 minutes. Average profit: $214K. Hold time: 7 hours. 91% close their position BEFORE resolution. Top wallets capture 86% of the move and cut losers at 12%. Everyone else - 58% of profit and hold losers to 41%. Same exact entries. The exits make it a completely different game. "Now connect the scanner" Three commands - the bot sees 500+ markets in real time. No API key. Read-only. Claude built the scoring in 20 minutes: Gap between price and model > 7 cents. Book depth > $500. Resolution in 4-48 hours. 93% of markets get killed instantly. Only the fat ones survive. "Now this is the important part" - he sent me an article where a guy built a full bot over a weekend from these same repos Copytrade here: Three exit triggers: Target 85% of expected move. Volume spike x3 - smart money leaving. 24 hours of silence - thesis is dead. I copied the whole stack. VPS $5. Claude $20. Total $25 a month. No team. No office. No Bloomberg. 16 days. 187 trades. 71% win rate. $800 seed. +$8,700. I sent him my screen. He replied a day later. "You just replicated for $25 what cost us six months and 11 people" I said - thanks for the tip. "Delete this chat" Too late.

An ex-OpenAI engineer walked up to me at a meetup in SF I was showing my Polymarket terminal. He looked at the screen for ten seconds and said one sentence. "You're trading blind. The data is sitting in the open and you're writing prompts" I didn't understand. What data. He took my laptop. Opened one repository. 86 million trades. Every wallet. Every entry. Every exit. The entire Polymarket history since day one. "At OpenAI models don't guess. They read. Connect Claude Code to this dataset and say - find every wallet with a win rate above 70% and more than 100 trades" I asked - why Claude and not GPT? He looked at me like I was an idiot. "Because Claude Code connects to the repo directly. It reads the entire codebase. It's not a chatbox. It's a runtime" That evening I connected it. Claude pulled 47 wallets in 4 minutes. Average profit: $214K. Hold time: 7 hours. 91% close their position BEFORE resolution. Top wallets capture 86% of the move and cut losers at 12%. Everyone else - 58% of profit and hold losers to 41%. Same exact entries. The exits make it a completely different game. "Now connect the scanner" Three commands - the bot sees 500+ markets in real time. No API key. Read-only. Claude built the scoring in 20 minutes: Gap between price and model > 7 cents. Book depth > $500. Resolution in 4-48 hours. 93% of markets get killed instantly. Only the fat ones survive. "Now this is the important part" - he sent me an article where a guy built a full bot over a weekend from these same repos Copytrade here: Three exit triggers: Target 85% of expected move. Volume spike x3 - smart money leaving. 24 hours of silence - thesis is dead. I copied the whole stack. VPS $5. Claude $20. Total $25 a month. No team. No office. No Bloomberg. 16 days. 187 trades. 71% win rate. $800 seed. +$8,700. I sent him my screen. He replied a day later. "You just replicated for $25 what cost us six months and 11 people" I said - thanks for the tip. "Delete this chat" Too late.

Lunar

480,969 次观看 • 4 个月前