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NEVER pay for a consulting report again. This AI just produced a $100K board-ready market analysis in 4 minutes. 6 signal categories. Thousands of data points. 40-page structured verdict. $0 consulting fees. → No more paying McKinsey $200K to tell you what public data already shows → No more...

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Aryan Mahajan

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14,432 views • 4 months ago •via X (Twitter)

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Claude Skill + Gamma + Apollo = AI Due Diligence Engine that replaced $50,000 in consulting fees... This system runs enterprise-grade company analysis in 7 minutes with research that firms charge $25K-$50K for... → No more analysts pulling data for 3 weeks straight → No more $300/hour lawyers reviewing standard templates → No more risk domains missed because nobody has bandwidth → No more decks that take a week to build and still look generic Just enter a company name + domain → full scored verdict delivered automatically. Here's how it works: → Firecrawl scrapes 8 company pages in parallel (security, legal, pricing, trust) → 11 Perplexity queries fire simultaneously across every risk domain → Claude synthesizes a scored GO / NO-GO verdict with red flags + negotiation leverage → Gamma auto-generates an 11-slide deck in the company's own brand colors → Full run log saved with cost breakdown + Gamma link Built with enterprise procurement standards. Runs in under 7 minutes. $1.50 per run vs $50,000 per engagement. One enterprise team cut their vendor onboarding from 6 weeks to same-day decisions. Want the complete Claude Code skill? Like + comment "SKILL" + repost, and I'll DM it to you. (must be following)
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Claude Skill + Gamma + Apollo = AI Due Diligence Engine that replaced $50,000 in consulting fees... This system runs enterprise-grade company analysis in 7 minutes with research that firms charge $25K-$50K for... → No more analysts pulling data for 3 weeks straight → No more $300/hour lawyers reviewing standard templates → No more risk domains missed because nobody has bandwidth → No more decks that take a week to build and still look generic Just enter a company name + domain → full scored verdict delivered automatically. Here's how it works: → Firecrawl scrapes 8 company pages in parallel (security, legal, pricing, trust) → 11 Perplexity queries fire simultaneously across every risk domain → Claude synthesizes a scored GO / NO-GO verdict with red flags + negotiation leverage → Gamma auto-generates an 11-slide deck in the company's own brand colors → Full run log saved with cost breakdown + Gamma link Built with enterprise procurement standards. Runs in under 7 minutes. $1.50 per run vs $50,000 per engagement. One enterprise team cut their vendor onboarding from 6 weeks to same-day decisions. Want the complete Claude Code skill? Like + comment "SKILL" + repost, and I'll DM it to you. (must be following)

Aryan Mahajan

15,639 views • 5 months ago

I just vibe-coded a Shopify Reviews Scraper that swipes all your competitors' customer reviews instantly. 🤯 Paste any competitor's product URL → pull every review in under 30 seconds → export to CSV. Built 100% in Codex. Perfect for brands and agencies who want to mine competitor voice-of-customer data at scale and turn it into winning ad creative. Here's how it works: → Drop a Shopify product URL into the tool → Set your review limit (50, 100, 500+) → Hit scrape — it launches a browser, finds the review widget, pulls every review → Export clean rows: rating, body, author, date → Feed the CSV to Claude and ask "what do customers love and hate about this product" → Turn the output into ad angles, hooks, and headlines No more paying $99/mo for clunky review scraping SaaS that locks you behind credits. What you get: - Any Shopify store's reviews in 30 seconds - Clean structured data (rating, body, author, date) - CSV or JSON export — drops straight into Sheets or an LLM - Unlimited scrapes, no per-review fees - A voice-of-customer firehose you can turn into ad creative on demand This is essentially a competitor review intelligence engine in a box. I'm giving away the full GitHub repo so you can clone it and run it yourself for free. Want the repo? > Like this post > Comment "SCRAPE" And I'll send it over (must be following so I can DM)
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I just vibe-coded a Shopify Reviews Scraper that swipes all your competitors' customer reviews instantly. 🤯 Paste any competitor's product URL → pull every review in under 30 seconds → export to CSV. Built 100% in Codex. Perfect for brands and agencies who want to mine competitor voice-of-customer data at scale and turn it into winning ad creative. Here's how it works: → Drop a Shopify product URL into the tool → Set your review limit (50, 100, 500+) → Hit scrape — it launches a browser, finds the review widget, pulls every review → Export clean rows: rating, body, author, date → Feed the CSV to Claude and ask "what do customers love and hate about this product" → Turn the output into ad angles, hooks, and headlines No more paying $99/mo for clunky review scraping SaaS that locks you behind credits. What you get: - Any Shopify store's reviews in 30 seconds - Clean structured data (rating, body, author, date) - CSV or JSON export — drops straight into Sheets or an LLM - Unlimited scrapes, no per-review fees - A voice-of-customer firehose you can turn into ad creative on demand This is essentially a competitor review intelligence engine in a box. I'm giving away the full GitHub repo so you can clone it and run it yourself for free. Want the repo? > Like this post > Comment "SCRAPE" And I'll send it over (must be following so I can DM)

Mike Futia

29,876 views • 3 months ago

GoMarble + Meta Ad Library + Claude = Competitor Creative Intelligence in 4 minutes... (the system replacing $160/hr Creative Strategists across every performance marketing team) → No more 3-day ad library doom-scrolls eating your strategist's week → No more spreadsheets built on guesswork instead of signals → No more running ads while your competitors run the *right* ads → No more creative briefs written blind to what's actually scaling Just your URL → autonomous competitive intelligence that maps every winning angle in your market. Here's how it works: → URL Input Trigger (enter your site, system finds competitors automatically) → Ad Extraction Engine (pulls every active ad across all competitors instantly) → Hook & Angle Classifier (breaks down what's scaling vs what's dying) → Gap Analysis Layer (maps your creative strategy against the full competitive field) → Brief-Ready Output (actionable intelligence, not raw data dumps) 187 competitor ads. 4 minutes. Zero manual research. Results from deployments: • 3-day strategist workflows → 4-minute automated intelligence • $160/hr creative cost eliminated per competitive audit • Full gap analysis before a single brief gets written • Creative teams shipping better angles, faster Want free access to run it on your brand? Like + comment ""ADS"" + repost, and I'll DM you the link. (must be following)
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GoMarble + Meta Ad Library + Claude = Competitor Creative Intelligence in 4 minutes... (the system replacing $160/hr Creative Strategists across every performance marketing team) → No more 3-day ad library doom-scrolls eating your strategist's week → No more spreadsheets built on guesswork instead of signals → No more running ads while your competitors run the *right* ads → No more creative briefs written blind to what's actually scaling Just your URL → autonomous competitive intelligence that maps every winning angle in your market. Here's how it works: → URL Input Trigger (enter your site, system finds competitors automatically) → Ad Extraction Engine (pulls every active ad across all competitors instantly) → Hook & Angle Classifier (breaks down what's scaling vs what's dying) → Gap Analysis Layer (maps your creative strategy against the full competitive field) → Brief-Ready Output (actionable intelligence, not raw data dumps) 187 competitor ads. 4 minutes. Zero manual research. Results from deployments: • 3-day strategist workflows → 4-minute automated intelligence • $160/hr creative cost eliminated per competitive audit • Full gap analysis before a single brief gets written • Creative teams shipping better angles, faster Want free access to run it on your brand? Like + comment ""ADS"" + repost, and I'll DM you the link. (must be following)

Aryan Mahajan

10,582 views • 5 months ago

I just built a $10K/month creative strategist inside Claude Code 🤯 Give it your competitor Facebook page URLs → it scrapes their ads, watches every video with AI, and delivers a data-backed creative brief with 10 ad concepts in your brand voice. All inside Claude Code. Perfect for DTC brands and agencies who are still manually scrolling the Meta Ad Library, screenshotting ads into Google Docs, and guessing at what's working. If you're spending hours every week pulling competitor ads one by one, watching videos to figure out the hook, copying notes into a brief, and rewriting concepts from scratch every time... This system eliminates the entire loop: → Apify scrapes your competitors' active ads from Meta Ad Library (video + image) → Downloads every creative asset locally → Gemini watches each video and analyzes the hook, angle, visual format, copy framework, CTA, and emotional trigger → Runs the full batch and finds the patterns that repeat across 3+ ads → Claude generates 10 ad concepts using the proven mechanics, matched to your brand voice No manually scrolling the Ad Library. No screenshotting ads into docs. No guessing which hooks are actually working. What you get: → Individual creative breakdowns for every competitor ad (7 dimensions each) → A pattern report showing which hooks, formats, and triggers keep repeating → 10 ready-to-brief ad concepts traced back to real competitor data → A reusable system — new competitors, new brief, same pipeline The research that takes your team a full day now runs in 15 minutes for ~$3 in API costs. Built 100% in Claude Code with Apify + Gemini. I put together a full playbook showing you can build the entire thing step-by-step from scratch. Want the playbook for free? > Like this post > Comment "ADS" And I'll send it over (must be following so I can DM)
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I just built a $10K/month creative strategist inside Claude Code 🤯 Give it your competitor Facebook page URLs → it scrapes their ads, watches every video with AI, and delivers a data-backed creative brief with 10 ad concepts in your brand voice. All inside Claude Code. Perfect for DTC brands and agencies who are still manually scrolling the Meta Ad Library, screenshotting ads into Google Docs, and guessing at what's working. If you're spending hours every week pulling competitor ads one by one, watching videos to figure out the hook, copying notes into a brief, and rewriting concepts from scratch every time... This system eliminates the entire loop: → Apify scrapes your competitors' active ads from Meta Ad Library (video + image) → Downloads every creative asset locally → Gemini watches each video and analyzes the hook, angle, visual format, copy framework, CTA, and emotional trigger → Runs the full batch and finds the patterns that repeat across 3+ ads → Claude generates 10 ad concepts using the proven mechanics, matched to your brand voice No manually scrolling the Ad Library. No screenshotting ads into docs. No guessing which hooks are actually working. What you get: → Individual creative breakdowns for every competitor ad (7 dimensions each) → A pattern report showing which hooks, formats, and triggers keep repeating → 10 ready-to-brief ad concepts traced back to real competitor data → A reusable system — new competitors, new brief, same pipeline The research that takes your team a full day now runs in 15 minutes for ~$3 in API costs. Built 100% in Claude Code with Apify + Gemini. I put together a full playbook showing you can build the entire thing step-by-step from scratch. Want the playbook for free? > Like this post > Comment "ADS" And I'll send it over (must be following so I can DM)

Mike Futia

54,764 views • 5 months ago

I just built a Claude prompt library that runs your entire DTC marketing operation 🤯 100+ prompts organized by function: competitor research, creative briefs, ad copy, hooks, landing pages, performance analysis, customer review mining, and more. Perfect for DTC brands and agencies who are still prompting Claude from scratch every time they open a new chat, rewriting the same context, and getting generic output that sounds like every other AI-generated ad. This prompt library eliminates the entire loop: → Competitor Research: scrape and analyze competitor ads, extract winning hooks, map creative strategies, build competitive battlecards → Creative Briefs: generate data-backed briefs from ad performance, write iteration briefs, new concept briefs, test plans → Ad Copy & Hooks: 20 hooks across 10 frameworks, full ad copy variations, persona-specific angles, fatigue-busting rewrites → Landing Pages: audit any landing page against DR best practices, clone high-converting advertorial structures, write product page copy → Performance Analysis: audit Google Ads accounts, find wasted spend, build visual dashboards, weekly narrative reports → Customer Intelligence: mine reviews for ad copy language, extract objections, find unexpected use cases, build persona cards from real data → SEO & Content: find keyword gaps, write content in your brand voice, optimize product listings for AI shopping (ChatGPT, Gemini) → Email & SMS: launch sequences, weekly newsletters, abandoned cart flows, post-purchase nurture No more blank-page prompting. No more re-explaining your brand every session. No more generic AI output that sounds like a template. What you get: →100+ copy-paste prompts organized by the 8 functions DTC teams actually run →Every prompt pre-loaded with the context structure Claude needs to give you real output →Prompts that reference your brand voice, your ICPs, and your real data — not generic placeholders →A living library you can customize once and reuse across every campaign I put together the full prompt library as a single downloadable playbook: organized by section, ready to copy-paste into Claude today. Want it for free? > Like this post >Comment "PROMPTS" And I'll send it over (must be following so I can DM)
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I just built a Claude prompt library that runs your entire DTC marketing operation 🤯 100+ prompts organized by function: competitor research, creative briefs, ad copy, hooks, landing pages, performance analysis, customer review mining, and more. Perfect for DTC brands and agencies who are still prompting Claude from scratch every time they open a new chat, rewriting the same context, and getting generic output that sounds like every other AI-generated ad. This prompt library eliminates the entire loop: → Competitor Research: scrape and analyze competitor ads, extract winning hooks, map creative strategies, build competitive battlecards → Creative Briefs: generate data-backed briefs from ad performance, write iteration briefs, new concept briefs, test plans → Ad Copy & Hooks: 20 hooks across 10 frameworks, full ad copy variations, persona-specific angles, fatigue-busting rewrites → Landing Pages: audit any landing page against DR best practices, clone high-converting advertorial structures, write product page copy → Performance Analysis: audit Google Ads accounts, find wasted spend, build visual dashboards, weekly narrative reports → Customer Intelligence: mine reviews for ad copy language, extract objections, find unexpected use cases, build persona cards from real data → SEO & Content: find keyword gaps, write content in your brand voice, optimize product listings for AI shopping (ChatGPT, Gemini) → Email & SMS: launch sequences, weekly newsletters, abandoned cart flows, post-purchase nurture No more blank-page prompting. No more re-explaining your brand every session. No more generic AI output that sounds like a template. What you get: →100+ copy-paste prompts organized by the 8 functions DTC teams actually run →Every prompt pre-loaded with the context structure Claude needs to give you real output →Prompts that reference your brand voice, your ICPs, and your real data — not generic placeholders →A living library you can customize once and reuse across every campaign I put together the full prompt library as a single downloadable playbook: organized by section, ready to copy-paste into Claude today. Want it for free? > Like this post >Comment "PROMPTS" And I'll send it over (must be following so I can DM)

Mike Futia

34,741 views • 4 months ago

Claude Cowork is f*cking cracked for Meta Ads 🤯 Point it at a folder with your ad export, your brand context, and your brief template —> ... and it analyzes your account like a senior creative strategist + saves a finished brief directly to your computer. All inside Claude Cowork. Perfect for DTC brands and agencies who are still manually digging through ad reports trying to figure out why performance shifted. If you're running Meta Ads and pulling weekly reports that tell you what happened but not why — CPAs creeping up, CTRs dropping... You're killing creatives on gut feel because mapping performance back to hook type, angle, and offer framing takes hours you don't have. Claude Cowork eliminates the entire loop: → Drop your Meta Ads CSV export into a project folder → Add a brand context file and your brief template → Claude reads all three files and audits across 4 lenses: hook performance, offer angles, fatigue signals, next test recommendations → Asks clarifying questions if it needs them → Saves a finished creative brief as a real .md file directly to your folder No copy-pasting data into chat windows. No manually tagging creatives in a spreadsheet. No "here are your metrics" summaries that tell you nothing new. What you get: → Pattern analysis across every creative — which hook structures are converting and why → Creative fatigue signals before CPAs blow up → Competitor intelligence layered in from the Meta Ad Library → A data-backed brief your creative team can execute immediately Set it up once, drop in a fresh CSV every week and run the same prompt. I put together a full playbook with the exact folder setup, the prompts, and the brief template to get this running in under 30 minutes. Want it for free? > Like this post > Comment "ADS" And I'll send it over (must be following so I can DM)
0:15

Claude Cowork is f*cking cracked for Meta Ads 🤯 Point it at a folder with your ad export, your brand context, and your brief template —> ... and it analyzes your account like a senior creative strategist + saves a finished brief directly to your computer. All inside Claude Cowork. Perfect for DTC brands and agencies who are still manually digging through ad reports trying to figure out why performance shifted. If you're running Meta Ads and pulling weekly reports that tell you what happened but not why — CPAs creeping up, CTRs dropping... You're killing creatives on gut feel because mapping performance back to hook type, angle, and offer framing takes hours you don't have. Claude Cowork eliminates the entire loop: → Drop your Meta Ads CSV export into a project folder → Add a brand context file and your brief template → Claude reads all three files and audits across 4 lenses: hook performance, offer angles, fatigue signals, next test recommendations → Asks clarifying questions if it needs them → Saves a finished creative brief as a real .md file directly to your folder No copy-pasting data into chat windows. No manually tagging creatives in a spreadsheet. No "here are your metrics" summaries that tell you nothing new. What you get: → Pattern analysis across every creative — which hook structures are converting and why → Creative fatigue signals before CPAs blow up → Competitor intelligence layered in from the Meta Ad Library → A data-backed brief your creative team can execute immediately Set it up once, drop in a fresh CSV every week and run the same prompt. I put together a full playbook with the exact folder setup, the prompts, and the brief template to get this running in under 30 minutes. Want it for free? > Like this post > Comment "ADS" And I'll send it over (must be following so I can DM)

Mike Futia

85,602 views • 5 months ago

I just built a Claude Cowork skill that turns your Google Ads data into a visual performance dashboard in 60 seconds 🤯 One prompt → campaign breakdowns, CPA trends, spend vs conversions charts, and hourly conversion patterns, all rendered as an interactive HTML dashboard you open in Chrome. All inside Claude Cowork. Perfect for DTC brands and agencies who are pulling Google Ads data into spreadsheets every week, manually building charts, and spending an hour formatting a report that's outdated by the time you send it. If you're managing Google Ads and your weekly reporting workflow looks like this — export a CSV, open Google Sheets, build a pivot table, copy the numbers into a slide deck, manually create charts, format everything, realize you forgot a campaign, start over ... This skill does the whole thing in one prompt: → Connects to your live Google Ads data via MCP → Pulls spend, conversions, CPA, ROAS, CTR across every campaign → Builds an interactive HTML dashboard → Summary cards at the top: total spend, total conversions, avg CPA, avg ROAS → Bar chart comparing spend vs conversions by campaign → CPA trend line over the last 30 days → Campaign table ranked by performance, color-coded green/yellow/red → Opens in Chrome: hover over charts, compare campaigns, screenshot for your team No spreadsheets. No manual chart building. No hour-long formatting sessions. What you get: → A visual dashboard from live data in under 60 seconds → Campaign performance you can actually see, not just read in a table → CPA trends that show you where things are heading, not just where they are → A dashboard you can screenshot and drop into Slack, a client report, or a team standup → Reusable — run it weekly and the data updates automatically One prompt. Live data. A finished dashboard you open in your browser. I put together a playbook with the full skill file, the setup, and the exact prompts to customize the dashboard for your account. Want it for free? > Like this post > Comment "DASH" And I'll send it over (must be following so I can DM)
0:11

I just built a Claude Cowork skill that turns your Google Ads data into a visual performance dashboard in 60 seconds 🤯 One prompt → campaign breakdowns, CPA trends, spend vs conversions charts, and hourly conversion patterns, all rendered as an interactive HTML dashboard you open in Chrome. All inside Claude Cowork. Perfect for DTC brands and agencies who are pulling Google Ads data into spreadsheets every week, manually building charts, and spending an hour formatting a report that's outdated by the time you send it. If you're managing Google Ads and your weekly reporting workflow looks like this — export a CSV, open Google Sheets, build a pivot table, copy the numbers into a slide deck, manually create charts, format everything, realize you forgot a campaign, start over ... This skill does the whole thing in one prompt: → Connects to your live Google Ads data via MCP → Pulls spend, conversions, CPA, ROAS, CTR across every campaign → Builds an interactive HTML dashboard → Summary cards at the top: total spend, total conversions, avg CPA, avg ROAS → Bar chart comparing spend vs conversions by campaign → CPA trend line over the last 30 days → Campaign table ranked by performance, color-coded green/yellow/red → Opens in Chrome: hover over charts, compare campaigns, screenshot for your team No spreadsheets. No manual chart building. No hour-long formatting sessions. What you get: → A visual dashboard from live data in under 60 seconds → Campaign performance you can actually see, not just read in a table → CPA trends that show you where things are heading, not just where they are → A dashboard you can screenshot and drop into Slack, a client report, or a team standup → Reusable — run it weekly and the data updates automatically One prompt. Live data. A finished dashboard you open in your browser. I put together a playbook with the full skill file, the setup, and the exact prompts to customize the dashboard for your account. Want it for free? > Like this post > Comment "DASH" And I'll send it over (must be following so I can DM)

Mike Futia

38,846 views • 4 months ago

I just built a Meta ad policy checker in Claude Code that catches rejections BEFORE Meta does 🤯 Drop in your ad copy → it pulls Meta's LIVE Advertising Standards, checks every line against the actual policy text, and hands each ad a verdict: Cleared for launch, Fix before launch, or Grounded. All inside Claude Code. Perfect for media buyers and DTC brands who've had ads bounced — or an account restricted — and never got a straight answer why. If you're finding out about policy problems only after the rejection email, resubmitting the same ad and praying, losing days of delivery while the appeal sits in review, and every bounce quietly teaches Meta to trust your account a little less... This runs the review before Meta ever sees the ad: → Drop in your ad copy (one ad or a whole batch) → It reads each ad and figures out which of Meta's policies apply → Scrapes the live policy pages from Meta's Transparency Center → Flags the exact phrase that violates, with Meta's own policy quoted next to it → Rewrites the risky lines so the message survives but the violation doesn't → Renders a dashboard: every ad, every finding, every fix in one place No guessing which word killed the ad. No resubmit-and-pray loops. No stacking rejections on your account history. What you get: → A verdict on every ad before you spend a dollar → The violating phrase + the policy citation, side by side → Rewrites that keep the selling intent → A report you can hand straight to your team or client Built 100% in Claude Code. No API keys, no Meta login. I'm giving away the complete Claude skill file. Want the skill for free? > Like this post > Comment "META" And I'll send it over (must be following so I can DM)
0:18

I just built a Meta ad policy checker in Claude Code that catches rejections BEFORE Meta does 🤯 Drop in your ad copy → it pulls Meta's LIVE Advertising Standards, checks every line against the actual policy text, and hands each ad a verdict: Cleared for launch, Fix before launch, or Grounded. All inside Claude Code. Perfect for media buyers and DTC brands who've had ads bounced — or an account restricted — and never got a straight answer why. If you're finding out about policy problems only after the rejection email, resubmitting the same ad and praying, losing days of delivery while the appeal sits in review, and every bounce quietly teaches Meta to trust your account a little less... This runs the review before Meta ever sees the ad: → Drop in your ad copy (one ad or a whole batch) → It reads each ad and figures out which of Meta's policies apply → Scrapes the live policy pages from Meta's Transparency Center → Flags the exact phrase that violates, with Meta's own policy quoted next to it → Rewrites the risky lines so the message survives but the violation doesn't → Renders a dashboard: every ad, every finding, every fix in one place No guessing which word killed the ad. No resubmit-and-pray loops. No stacking rejections on your account history. What you get: → A verdict on every ad before you spend a dollar → The violating phrase + the policy citation, side by side → Rewrites that keep the selling intent → A report you can hand straight to your team or client Built 100% in Claude Code. No API keys, no Meta login. I'm giving away the complete Claude skill file. Want the skill for free? > Like this post > Comment "META" And I'll send it over (must be following so I can DM)

Mike Futia

17,350 views • 1 month ago

Claude Design is f*cking cracked for landing pages 🤯 Find any competitor's e-com lander → feed it to Claude Design w/ your brand's design system → get back a fully rebuilt version in your brand, your copy, your design. All inside Claude Design. Perfect for DTC brands and agencies who are still paying freelancers to build advertorial pages from scratch. If you're finding landers that have been running on Meta for 6+ months and want to test the same structure for your brand —> Briefing a designer, waiting a week, getting back a flat mockup, giving notes, waiting again... Claude Design eliminates the entire loop: → Use Go Full Pag to screenshot the full competitor lander → Feed it to Claude Design with your design system → Prompt it to extract the exact section structure and rebuild it for your brand → It rewrites all copy, applies your fonts, colors, and layout → Iterate section by section — send a screenshot of what you want to fix, it fixes it → Drop in your product images and founder photos as you go No designer. No back-and-forth briefs. No starting from scratch. What you get: -> Full production-ready lander built around a proven structure that's already converting on Meta -> Live elements (countdown timers, animated sections) auto-generated -> Mobile and desktop versions you can refine with plain-English prompts -> A repeatable system — new competitor, new screenshots, same pipeline I put together a full playbook breaking down the exact process — the prompts, the section-by-section editing approach, and how to set this up for any competitor lander. Want it completely for free? > Like this post > Comment "CLONE" And I'll send it over (must be following so I can DM)
0:13

Claude Design is f*cking cracked for landing pages 🤯 Find any competitor's e-com lander → feed it to Claude Design w/ your brand's design system → get back a fully rebuilt version in your brand, your copy, your design. All inside Claude Design. Perfect for DTC brands and agencies who are still paying freelancers to build advertorial pages from scratch. If you're finding landers that have been running on Meta for 6+ months and want to test the same structure for your brand —> Briefing a designer, waiting a week, getting back a flat mockup, giving notes, waiting again... Claude Design eliminates the entire loop: → Use Go Full Pag to screenshot the full competitor lander → Feed it to Claude Design with your design system → Prompt it to extract the exact section structure and rebuild it for your brand → It rewrites all copy, applies your fonts, colors, and layout → Iterate section by section — send a screenshot of what you want to fix, it fixes it → Drop in your product images and founder photos as you go No designer. No back-and-forth briefs. No starting from scratch. What you get: -> Full production-ready lander built around a proven structure that's already converting on Meta -> Live elements (countdown timers, animated sections) auto-generated -> Mobile and desktop versions you can refine with plain-English prompts -> A repeatable system — new competitor, new screenshots, same pipeline I put together a full playbook breaking down the exact process — the prompts, the section-by-section editing approach, and how to set this up for any competitor lander. Want it completely for free? > Like this post > Comment "CLONE" And I'll send it over (must be following so I can DM)

Mike Futia

37,888 views • 3 months ago

after consistently booking 100 b2b calls/mo from linkedin inbound funnels... i sat down with Lara Acosta and gave away our ENTIRE playbook in a 1-hour interview → every system → every framework → every DM script for context, a post with 40 comments booked me 4 qualified calls last week a single question in the DMs booked a client 72 calls in 26 days and one lead magnet batch generated 7,000 comments across 4 variations in this interview i break down exactly how all of it works... here's what's inside: → why i think content pillars are dead and what replaced them (awareness stage positioning: problem unaware, pain aware, solution aware) → the lead magnet system we run at 100 per week across all client accounts (what makes a good one, why 50 pages of text is a waste, and why the best lead magnets right now are all Claude/AI related) → the DM conversion framework that turns a free resource into a booked call in 3-5 messages ("hey, what caught your attention?" → discover the pain → drop a case study → assume the yes with a specific date and time) → why engagement doesn't equal revenue and what actually does (30k followers with low engagement booking 10x more calls than before because the conversion infrastructure changed) → the trend jacking strategy that makes dead accounts go viral overnight (spot it on X in the morning, build the resource by noon, post on linkedin by evening) → how to get your first case study using pay-for-results instead of free trials → the competitor analysis shortcut for never running out of content ideas → why the linkedin algorithm conversation is 90% excuse and 10% useful like + comment "POD" and i'll send you the full interview (must be following + RT for priority access)
0:15

after consistently booking 100 b2b calls/mo from linkedin inbound funnels... i sat down with Lara Acosta and gave away our ENTIRE playbook in a 1-hour interview → every system → every framework → every DM script for context, a post with 40 comments booked me 4 qualified calls last week a single question in the DMs booked a client 72 calls in 26 days and one lead magnet batch generated 7,000 comments across 4 variations in this interview i break down exactly how all of it works... here's what's inside: → why i think content pillars are dead and what replaced them (awareness stage positioning: problem unaware, pain aware, solution aware) → the lead magnet system we run at 100 per week across all client accounts (what makes a good one, why 50 pages of text is a waste, and why the best lead magnets right now are all Claude/AI related) → the DM conversion framework that turns a free resource into a booked call in 3-5 messages ("hey, what caught your attention?" → discover the pain → drop a case study → assume the yes with a specific date and time) → why engagement doesn't equal revenue and what actually does (30k followers with low engagement booking 10x more calls than before because the conversion infrastructure changed) → the trend jacking strategy that makes dead accounts go viral overnight (spot it on X in the morning, build the resource by noon, post on linkedin by evening) → how to get your first case study using pay-for-results instead of free trials → the competitor analysis shortcut for never running out of content ideas → why the linkedin algorithm conversation is 90% excuse and 10% useful like + comment "POD" and i'll send you the full interview (must be following + RT for priority access)

paolo trivellato

23,292 views • 2 months ago

I just built a Meta Ads diagnostic in Claude Code that tells you WHY your account broke, not just what changed 🤯 It spins up a team of agents that each investigate a different reason performance dropped, then argue against each other to kill the wrong answer before it ever reaches you. All inside Claude Code. Perfect for DTC brands and agencies who panic-kill creative the second CPA spikes. If you've watched ROAS fall off a cliff and opened Ads Manager with ten tabs going, you already know what happens next. Your gut says "creative fatigue." You kill your best-performing ad. A week later performance is still broken, because that was never the problem. Guessing wrong is the most expensive move in paid social. This workflow ends the guessing: → One agent investigates each competing theory — creative fatigue, budget and delivery changes, traffic quality, offer and seasonality → Each one is blind to the others, reasoning only from its own slice of the data so they can't bias each other → A refuter agent then attacks every surviving theory and tries to kill it → A theory only stands if the data can't disprove it → You get a ranked diagnosis: the real cause, the evidence for and against it, and the one move to make this week No anchoring on the first obvious answer. No killing winning creative on a hunch. No "here's what happened" reports that never tell you why. What you get: → Every theory tested in parallel instead of one biased guess → An adversarial pass that kills the wrong answer before you act on it → A ranked diagnosis with confidence levels and evidence both ways → A reusable workflow you drop next month's export into and re-run Built 100% in Claude Code with the new dynamic workflows. The first account I ran it on looked like textbook creative fatigue. The workflow disagreed, and traced the real cause to a budget change that had doubled spend and flooded delivery with junk traffic. I put together a full playbook with the exact workflow, the prompt, and how to run it on your own account. Want it for free? > Like this post > Comment "META" And I'll send it over (must be following so I can DM)
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I just built a Meta Ads diagnostic in Claude Code that tells you WHY your account broke, not just what changed 🤯 It spins up a team of agents that each investigate a different reason performance dropped, then argue against each other to kill the wrong answer before it ever reaches you. All inside Claude Code. Perfect for DTC brands and agencies who panic-kill creative the second CPA spikes. If you've watched ROAS fall off a cliff and opened Ads Manager with ten tabs going, you already know what happens next. Your gut says "creative fatigue." You kill your best-performing ad. A week later performance is still broken, because that was never the problem. Guessing wrong is the most expensive move in paid social. This workflow ends the guessing: → One agent investigates each competing theory — creative fatigue, budget and delivery changes, traffic quality, offer and seasonality → Each one is blind to the others, reasoning only from its own slice of the data so they can't bias each other → A refuter agent then attacks every surviving theory and tries to kill it → A theory only stands if the data can't disprove it → You get a ranked diagnosis: the real cause, the evidence for and against it, and the one move to make this week No anchoring on the first obvious answer. No killing winning creative on a hunch. No "here's what happened" reports that never tell you why. What you get: → Every theory tested in parallel instead of one biased guess → An adversarial pass that kills the wrong answer before you act on it → A ranked diagnosis with confidence levels and evidence both ways → A reusable workflow you drop next month's export into and re-run Built 100% in Claude Code with the new dynamic workflows. The first account I ran it on looked like textbook creative fatigue. The workflow disagreed, and traced the real cause to a budget change that had doubled spend and flooded delivery with junk traffic. I put together a full playbook with the exact workflow, the prompt, and how to run it on your own account. Want it for free? > Like this post > Comment "META" And I'll send it over (must be following so I can DM)

Mike Futia

12,772 views • 2 months ago

I just built a Claude skill that audits your entire Meta Ads account in under 5 minutes 🤯 Export your CSV from Ads Manager → drop it into Claude → get back an account health score, a wasted spend breakdown, and a prioritized fix list telling you exactly what to change this week. All inside Claude Cowork. Perfect for DTC brands and agencies who are running Meta Ads but have no idea which creatives are bleeding budget, which audiences stopped converting, or why CPA crept up 40% last month. If your weekly Meta workflow still looks like this — open Ads Manager, stare at the dashboard, sort by spend, squint at CTR columns, export a CSV you never actually analyze, close the tab and hope for the best... This skill runs the full audit for you: → Reads your Meta Ads CSV export (campaign, ad set, and ad-level data) → Scores your account 0-100 across 6 dimensions: creative health, audience efficiency, budget allocation, funnel performance, fatigue signals, and offer effectiveness → Calculates your exact wasted spend in dollars: every ad with spend and zero purchases → Identifies creative fatigue before it tanks your CPA (declining CTR + rising frequency + increasing cost) → Flags audience overlap and saturation across ad sets → Delivers a top-5 fix list ranked by how much money each fix saves you No API connection. No third-party tool access to your ad account. No risk of Meta flagging your account. What you get: →A full account health score (0-100) with a grade for each dimension →Your exact wasted spend in dollars (not a vague "you're overspending") →Creative fatigue signals with specific ads to kill or refresh this week →Audience efficiency analysis showing which ad sets are cannibalizing each other →A prioritized fix list ranked by budget impact (do #1 first, save the most money) One CSV export, one prompt. Five minutes. I put together the full playbook with the skill file, the scoring methodology, and the exact CSV export steps from Ads Manager. Want it for free? > Like this post > Comment "META" And I'll send it over (must be following so I can DM)
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I just built a Claude skill that audits your entire Meta Ads account in under 5 minutes 🤯 Export your CSV from Ads Manager → drop it into Claude → get back an account health score, a wasted spend breakdown, and a prioritized fix list telling you exactly what to change this week. All inside Claude Cowork. Perfect for DTC brands and agencies who are running Meta Ads but have no idea which creatives are bleeding budget, which audiences stopped converting, or why CPA crept up 40% last month. If your weekly Meta workflow still looks like this — open Ads Manager, stare at the dashboard, sort by spend, squint at CTR columns, export a CSV you never actually analyze, close the tab and hope for the best... This skill runs the full audit for you: → Reads your Meta Ads CSV export (campaign, ad set, and ad-level data) → Scores your account 0-100 across 6 dimensions: creative health, audience efficiency, budget allocation, funnel performance, fatigue signals, and offer effectiveness → Calculates your exact wasted spend in dollars: every ad with spend and zero purchases → Identifies creative fatigue before it tanks your CPA (declining CTR + rising frequency + increasing cost) → Flags audience overlap and saturation across ad sets → Delivers a top-5 fix list ranked by how much money each fix saves you No API connection. No third-party tool access to your ad account. No risk of Meta flagging your account. What you get: →A full account health score (0-100) with a grade for each dimension →Your exact wasted spend in dollars (not a vague "you're overspending") →Creative fatigue signals with specific ads to kill or refresh this week →Audience efficiency analysis showing which ad sets are cannibalizing each other →A prioritized fix list ranked by budget impact (do #1 first, save the most money) One CSV export, one prompt. Five minutes. I put together the full playbook with the skill file, the scoring methodology, and the exact CSV export steps from Ads Manager. Want it for free? > Like this post > Comment "META" And I'll send it over (must be following so I can DM)

Mike Futia

36,006 views • 4 months ago

I just vibe coded a Meta Ads creative analytics tool in Claude Code 🤯 It syncs your ad accounts, AI-analyzes every creative, and tells you exactly what's working, what's not, and WHY. Built 100% in Claude Code. Perfect for DTC brands and agencies who are tired of staring at Meta Ads Manager trying to figure out WHY an ad is working or not. Here's the problem: Meta gives you the data. Spend, ROAS, CTR, hook rate. But it never tells you WHY an ad is performing or what to do about it. You're left manually watching videos, guessing at angles, and making gut-call decisions on what to iterate. This tool solves it: → Connect your Meta ad accounts → AI watches every video and analyzes every static → Auto-labels each ad by asset type, messaging angle, hook tactic, and funnel stage → Win rate analysis broken down by every category → Kill/scale recommendations segmented by TOF, MOF, and BOF → AI-generated iteration recommendations for every underperforming ad No manual video watching. No guessing at what's working. No spreadsheets to track creative performance. What you get: - Full creative analytics dashboard - AI classification on every ad - Iteration priorities for ads with real spend behind them - Weekly reports with top/bottom performers and AI insights I recorded a full walkthrough showing exactly how this works and what every feature does, including ALL the prompts I used so you can build it yourself. Want access to all the prompts for free? > Like this post > Comment "META" And I'll send it over (must be following so I can DM)
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I just vibe coded a Meta Ads creative analytics tool in Claude Code 🤯 It syncs your ad accounts, AI-analyzes every creative, and tells you exactly what's working, what's not, and WHY. Built 100% in Claude Code. Perfect for DTC brands and agencies who are tired of staring at Meta Ads Manager trying to figure out WHY an ad is working or not. Here's the problem: Meta gives you the data. Spend, ROAS, CTR, hook rate. But it never tells you WHY an ad is performing or what to do about it. You're left manually watching videos, guessing at angles, and making gut-call decisions on what to iterate. This tool solves it: → Connect your Meta ad accounts → AI watches every video and analyzes every static → Auto-labels each ad by asset type, messaging angle, hook tactic, and funnel stage → Win rate analysis broken down by every category → Kill/scale recommendations segmented by TOF, MOF, and BOF → AI-generated iteration recommendations for every underperforming ad No manual video watching. No guessing at what's working. No spreadsheets to track creative performance. What you get: - Full creative analytics dashboard - AI classification on every ad - Iteration priorities for ads with real spend behind them - Weekly reports with top/bottom performers and AI insights I recorded a full walkthrough showing exactly how this works and what every feature does, including ALL the prompts I used so you can build it yourself. Want access to all the prompts for free? > Like this post > Comment "META" And I'll send it over (must be following so I can DM)

Mike Futia

82,833 views • 6 months ago

Claude Code can now watch & analyze ANY video 🤯 I built a skill that gives Claude the ability to watch any video file you drop in — UGC ads, competitor Meta ads, organic TikToks, screen recordings, anything. All inside Claude Code. Perfect for DTC brands and agencies who study competitor creative every week to figure out what's working and what to test next. Here's the problem: If you're studying competitor ads on Meta or hooks on TikTok, you're scrubbing through videos manually, pausing to write down hooks, screenshotting on-screen text, and trying to remember what made the ad land by the time you've watched 10 of them. This skill solves it: → Drop any video file into Claude Code → Skill routes it through the Gemini API for native video understanding → Returns a full creative teardown — hook breakdown, target audience, angle, beat-by-beat, on-screen text verbatim → Surfaces the steal-worthy patterns you can apply to your own creative → Same skill works on UGC ads, produced video ads, organic TikToks, and Loom recordings No manual scrubbing. No pausing every 5 seconds. No $200/mo ad intelligence platform. What you get: - Native video understanding via Gemini (not just transcripts) - Structured analysis — hook, angle, audience, pain point, CTA - Verbatim on-screen text and dialogue with timestamps - Hook variations generated directly from competitor ads - About 27 cents per 30-minute video Built 100% in Claude Code with the Gemini API. I recorded a full breakdown showing exactly how I built this and I'm giving away the skill for free. Want the skill? > Comment "CLAUDE" + > Like this post And I'll send it over (must be following so I can DM)
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Claude Code can now watch & analyze ANY video 🤯 I built a skill that gives Claude the ability to watch any video file you drop in — UGC ads, competitor Meta ads, organic TikToks, screen recordings, anything. All inside Claude Code. Perfect for DTC brands and agencies who study competitor creative every week to figure out what's working and what to test next. Here's the problem: If you're studying competitor ads on Meta or hooks on TikTok, you're scrubbing through videos manually, pausing to write down hooks, screenshotting on-screen text, and trying to remember what made the ad land by the time you've watched 10 of them. This skill solves it: → Drop any video file into Claude Code → Skill routes it through the Gemini API for native video understanding → Returns a full creative teardown — hook breakdown, target audience, angle, beat-by-beat, on-screen text verbatim → Surfaces the steal-worthy patterns you can apply to your own creative → Same skill works on UGC ads, produced video ads, organic TikToks, and Loom recordings No manual scrubbing. No pausing every 5 seconds. No $200/mo ad intelligence platform. What you get: - Native video understanding via Gemini (not just transcripts) - Structured analysis — hook, angle, audience, pain point, CTA - Verbatim on-screen text and dialogue with timestamps - Hook variations generated directly from competitor ads - About 27 cents per 30-minute video Built 100% in Claude Code with the Gemini API. I recorded a full breakdown showing exactly how I built this and I'm giving away the skill for free. Want the skill? > Comment "CLAUDE" + > Like this post And I'll send it over (must be following so I can DM)

Mike Futia

35,749 views • 3 months ago

Claude Cowork Sub-Agents are f*cking cracked 🤯 One prompt → 50 competitor ads analyzed, hooks extracted, and a full creative brief generated. 10 AI agents running in parallel, under 5 minutes. All inside Claude Cowork. Perfect for DTC brands and agencies who are still doing creative research and ad production one task at a time inside Claude. If you're analyzing competitor ads one by one, copying hooks into a spreadsheet manually, writing brief after brief from scratch, and watching Claude's output quality fall off a cliff after the 15th variation because the context window is completely bloated... Sub-agents eliminate the entire bottleneck: → Drop in a spreadsheet of 50 competitor ads and spin up 10 parallel sub-agents → Each sub-agent analyzes 5 ads simultaneously — hooks, angles, CTAs, emotional tone, creative format → They report structured summaries back to the main agent without bloating the context → The main agent synthesizes patterns across all 50 ads into a competitive intel brief → Then spin up another round of sub-agents to generate 30 ad copy variations across 10 personas → Each sub-agent writes for 1-2 personas in a fresh context — so variation 30 is as sharp as variation 1 No analyzing ads one at a time. No context window blowing up halfway through. No copy quality degrading after the first dozen variations. What this gives you: → 50 competitor ads broken down in minutes — hooks, angles, CTAs, formats, all structured → Pattern analysis across the full dataset that you'd miss reviewing ads individually → 30+ ad copy variations with persona-specific messaging that actually stays sharp → A workflow you can save as reusable skills and trigger with one command next time → The same output quality on the last task as the first Built 100% inside Claude Cowork with sub-agents. I put together a full DTC playbook: 5 bulk workflows with copy-paste prompts, the exact sub-agent prompting pattern, batching guidelines, and an honest breakdown of when this setup is worth it vs. when a simpler approach is the better move. Want it for free? > Like this post > Comment "AGENTS" And I'll send it over (must be following so I can DM)
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Claude Cowork Sub-Agents are f*cking cracked 🤯 One prompt → 50 competitor ads analyzed, hooks extracted, and a full creative brief generated. 10 AI agents running in parallel, under 5 minutes. All inside Claude Cowork. Perfect for DTC brands and agencies who are still doing creative research and ad production one task at a time inside Claude. If you're analyzing competitor ads one by one, copying hooks into a spreadsheet manually, writing brief after brief from scratch, and watching Claude's output quality fall off a cliff after the 15th variation because the context window is completely bloated... Sub-agents eliminate the entire bottleneck: → Drop in a spreadsheet of 50 competitor ads and spin up 10 parallel sub-agents → Each sub-agent analyzes 5 ads simultaneously — hooks, angles, CTAs, emotional tone, creative format → They report structured summaries back to the main agent without bloating the context → The main agent synthesizes patterns across all 50 ads into a competitive intel brief → Then spin up another round of sub-agents to generate 30 ad copy variations across 10 personas → Each sub-agent writes for 1-2 personas in a fresh context — so variation 30 is as sharp as variation 1 No analyzing ads one at a time. No context window blowing up halfway through. No copy quality degrading after the first dozen variations. What this gives you: → 50 competitor ads broken down in minutes — hooks, angles, CTAs, formats, all structured → Pattern analysis across the full dataset that you'd miss reviewing ads individually → 30+ ad copy variations with persona-specific messaging that actually stays sharp → A workflow you can save as reusable skills and trigger with one command next time → The same output quality on the last task as the first Built 100% inside Claude Cowork with sub-agents. I put together a full DTC playbook: 5 bulk workflows with copy-paste prompts, the exact sub-agent prompting pattern, batching guidelines, and an honest breakdown of when this setup is worth it vs. when a simpler approach is the better move. Want it for free? > Like this post > Comment "AGENTS" And I'll send it over (must be following so I can DM)

Mike Futia

50,154 views • 5 months ago

We ranked a B2B SaaS brand #1 on ChatGPT for their category in 7 days. (And it's being used by marketing teams at Webflow, Chime, and Deepgram) This platform tracks AI visibility + generates cited content automatically across ChatGPT, Perplexity, Claude, and Gemini... → No more 6-12 months waiting for Google rankings to move → No more $60K agency dashboards that only show problems → No more 10 different tools to track, create, and publish content → No more manual content gap analysis taking 20+ hours weekly → No more AI slop that ChatGPT refuses to cite Just connect your data sources → autonomous visibility tracking + content generation system. Here's how it works: → AI Citation Scanner (tracks mentions across ChatGPT, Perplexity, Claude, Gemini) → Competitive Gap Analysis (identifies where competitors get cited and you don't) → First-Party Data Integration (connects Zendesk, HubSpot, Drive, product docs) → AI Content Generator (creates authoritative content with human review checkpoints) → Direct CMS Publishing (publishes to Webflow, Contentful automatically) → Performance Measurement (tracks results across traditional + AI search) Companies using this infrastructure: • Webflow: 40% traffic lift + 5X content velocity • Chime: 3X AI citations in 30 days • Deepgram: 24X organic traffic (37K → 1.5M visitors in 60 days) Built with AI-assisted workflows. Runs on human + AI collaboration. 30-day results vs 6-month SEO cycles. Want to see how you rank in AI search? Like + comment "SEO" + repost, and I'll DM you the free scanner. (must be following)
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We ranked a B2B SaaS brand #1 on ChatGPT for their category in 7 days. (And it's being used by marketing teams at Webflow, Chime, and Deepgram) This platform tracks AI visibility + generates cited content automatically across ChatGPT, Perplexity, Claude, and Gemini... → No more 6-12 months waiting for Google rankings to move → No more $60K agency dashboards that only show problems → No more 10 different tools to track, create, and publish content → No more manual content gap analysis taking 20+ hours weekly → No more AI slop that ChatGPT refuses to cite Just connect your data sources → autonomous visibility tracking + content generation system. Here's how it works: → AI Citation Scanner (tracks mentions across ChatGPT, Perplexity, Claude, Gemini) → Competitive Gap Analysis (identifies where competitors get cited and you don't) → First-Party Data Integration (connects Zendesk, HubSpot, Drive, product docs) → AI Content Generator (creates authoritative content with human review checkpoints) → Direct CMS Publishing (publishes to Webflow, Contentful automatically) → Performance Measurement (tracks results across traditional + AI search) Companies using this infrastructure: • Webflow: 40% traffic lift + 5X content velocity • Chime: 3X AI citations in 30 days • Deepgram: 24X organic traffic (37K → 1.5M visitors in 60 days) Built with AI-assisted workflows. Runs on human + AI collaboration. 30-day results vs 6-month SEO cycles. Want to see how you rank in AI search? Like + comment "SEO" + repost, and I'll DM you the free scanner. (must be following)

Aryan Mahajan

28,510 views • 9 months ago

CoinMarketCap AI Is Live: What Does It Really Change ? 🌱 In the fast paced world of crypto, information is power but its often scattered, delayed, or hard to trust. CoinMarketCap newly launched CMC AI aims to fix that by offering real time insights with no friction. ✨ Real Time Q&A on Coin Pages 🌱CMC AI is now integrated into major coin detail pages, generating automatic Q&As every 30 minutes. During periods of volatility, it updates dynamically, helping users understand price movements with short and structured explanations. No login required, no delays. 🌱However, while this speeds up the process, its not a substitute for deeper analysis. It answers the “what” and “why,” but not always the “what’s next.” ✨What’s Coming Next? 🌱CMC AI is just getting started. According to its roadmap, several new features are on the way • Homepage Integration: A quick view of market trends and opportunities, without clicking into individual coins. • Live Chart Analysis: AI will add context to price moves by linking them to news, sentiment, and social media. • Token Comparison Tool: Users will be able to compare tokens like BTC vs SOL across utility, performance, and tech specs. • Portfolio Insights: One click portfolio analysis with rebalancing suggestions and market outlooks. • Cross Device Continuity: Start an AI conversation on desktop and continue it seamlessly on mobile. ✨A Tool Not a Strategy 🌱 CMC AI brings speed and clarity, two things crypto investors often lack. But it’s still just a tool. It won’t make decisions for you. It helps guide your thinking not replace it. 🌱 The smartest way to use it? Treat it as a compass, not a map. It can point you in the right direction, but the journey is still yours. 🌱 CMC AI represents a step forward in how users interact with crypto data. It filters the noise, shortens research time, and brings useful context closer to the user. But like any shortcut, it works best when you already understand the long route.
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CoinMarketCap AI Is Live: What Does It Really Change ? 🌱 In the fast paced world of crypto, information is power but its often scattered, delayed, or hard to trust. CoinMarketCap newly launched CMC AI aims to fix that by offering real time insights with no friction. ✨ Real Time Q&A on Coin Pages 🌱CMC AI is now integrated into major coin detail pages, generating automatic Q&As every 30 minutes. During periods of volatility, it updates dynamically, helping users understand price movements with short and structured explanations. No login required, no delays. 🌱However, while this speeds up the process, its not a substitute for deeper analysis. It answers the “what” and “why,” but not always the “what’s next.” ✨What’s Coming Next? 🌱CMC AI is just getting started. According to its roadmap, several new features are on the way • Homepage Integration: A quick view of market trends and opportunities, without clicking into individual coins. • Live Chart Analysis: AI will add context to price moves by linking them to news, sentiment, and social media. • Token Comparison Tool: Users will be able to compare tokens like BTC vs SOL across utility, performance, and tech specs. • Portfolio Insights: One click portfolio analysis with rebalancing suggestions and market outlooks. • Cross Device Continuity: Start an AI conversation on desktop and continue it seamlessly on mobile. ✨A Tool Not a Strategy 🌱 CMC AI brings speed and clarity, two things crypto investors often lack. But it’s still just a tool. It won’t make decisions for you. It helps guide your thinking not replace it. 🌱 The smartest way to use it? Treat it as a compass, not a map. It can point you in the right direction, but the journey is still yours. 🌱 CMC AI represents a step forward in how users interact with crypto data. It filters the noise, shortens research time, and brings useful context closer to the user. But like any shortcut, it works best when you already understand the long route.

Loji

37,459 views • 1 year ago

Claude Cowork + Meta Ads is absolutely wild 🤯 I built an AI creative system that does what most ad teams can't. Every AI model I tested fell flat on ad creative. Generic hooks, surface-level angles, zero understanding of what actually converts on Meta. Then I got inside Claude Cowork. 12 hours later I had a full system dialed in for paid social creative. Here's what it does: → Analyzes your best ads and tells you exactly why they're winning → Generates fresh angles segmented by buyer awareness level → Writes first lines engineered to stop the scroll on Meta → Builds execution-ready briefs your creative team can run with immediately → Flags when your current ads are going stale and suggests pivots All inside one Claude Cowork workspace. No plugins. No extra tools. Here's who this is for: Brands spending $50K-$500K/month on Meta who are stuck in the same cycle: -> Your creative team keeps testing random ideas -> Your winners eventually die and the replacement process is slow -> Nobody can produce volume fast enough to keep up with the algorithm This system turns a week of creative strategy into a single afternoon. I packaged the whole thing into 50 ready-to-use prompts across 5 categories: -> Winning Ad Analysis -> Angle Generation -> Scroll-Stop Hooks -> Creative Brief Builder -> Ad Refresh & Fatigue Prevention Copy, paste, run. Want access for free? > Like this post > Comment "COWORK" And I'll send it over (must be following so I can DM)
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Claude Cowork + Meta Ads is absolutely wild 🤯 I built an AI creative system that does what most ad teams can't. Every AI model I tested fell flat on ad creative. Generic hooks, surface-level angles, zero understanding of what actually converts on Meta. Then I got inside Claude Cowork. 12 hours later I had a full system dialed in for paid social creative. Here's what it does: → Analyzes your best ads and tells you exactly why they're winning → Generates fresh angles segmented by buyer awareness level → Writes first lines engineered to stop the scroll on Meta → Builds execution-ready briefs your creative team can run with immediately → Flags when your current ads are going stale and suggests pivots All inside one Claude Cowork workspace. No plugins. No extra tools. Here's who this is for: Brands spending $50K-$500K/month on Meta who are stuck in the same cycle: -> Your creative team keeps testing random ideas -> Your winners eventually die and the replacement process is slow -> Nobody can produce volume fast enough to keep up with the algorithm This system turns a week of creative strategy into a single afternoon. I packaged the whole thing into 50 ready-to-use prompts across 5 categories: -> Winning Ad Analysis -> Angle Generation -> Scroll-Stop Hooks -> Creative Brief Builder -> Ad Refresh & Fatigue Prevention Copy, paste, run. Want access for free? > Like this post > Comment "COWORK" And I'll send it over (must be following so I can DM)

Mike Futia

85,797 views • 6 months ago

Claude Code + Google Stitch 2.0 is f*cking cracked 🤯 Google just dropped a free AI design agent that solves Claude Code's biggest weakness: frontend design. One screenshot of a high-converting landing page → a production-ready site for your brand in minutes. All inside Google Stitch + Claude Code. Perfect for DTC brands and agencies who are building advertorial pages and product launch pages for Meta but burning days on designer back-and-forth. If you're running Meta ads and need 5-10 different landing pages testing different hooks, angles, and offers — each one targeting a different audience and pain point — you know the bottleneck isn't the ads. It's the pages. Briefing designers, waiting for revisions, paying $2-5K per page. Stitch eliminates the design bottleneck: → Find a high-converting advertorial that's scaling on Meta → Screenshot it and drop it into Stitch (powered by Gemini 3.1) → Stitch redesigns it with your brand's colors, fonts, and imagery using Nano Banana 2 → Edit sections visually — headlines, CTAs, layouts — without touching code → Export the code and paste it into Claude Code → Claude builds the full production site and deploys to Vercel or Netlify in 60 seconds No designer. No $3K per landing page. No Claude Code frontend that looks like a template from 2019. What you get: → Designer-quality landing pages and advertorials built in minutes, not weeks → Visual editing so you actually see the design before you code it → Nano Banana 2 generating on-brand product imagery and hero shots → A repeatable system — new angle, new page, same pipeline Built 100% with Google Stitch 2.0 + Claude Code. I put together a full playbook showing the exact workflow: how to find winning pages, redesign them in Stitch, and deploy with Claude Code. Want it for free? > Like this post > Comment "STITCH" And I'll send it over (must be following so I can DM)
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Claude Code + Google Stitch 2.0 is f*cking cracked 🤯 Google just dropped a free AI design agent that solves Claude Code's biggest weakness: frontend design. One screenshot of a high-converting landing page → a production-ready site for your brand in minutes. All inside Google Stitch + Claude Code. Perfect for DTC brands and agencies who are building advertorial pages and product launch pages for Meta but burning days on designer back-and-forth. If you're running Meta ads and need 5-10 different landing pages testing different hooks, angles, and offers — each one targeting a different audience and pain point — you know the bottleneck isn't the ads. It's the pages. Briefing designers, waiting for revisions, paying $2-5K per page. Stitch eliminates the design bottleneck: → Find a high-converting advertorial that's scaling on Meta → Screenshot it and drop it into Stitch (powered by Gemini 3.1) → Stitch redesigns it with your brand's colors, fonts, and imagery using Nano Banana 2 → Edit sections visually — headlines, CTAs, layouts — without touching code → Export the code and paste it into Claude Code → Claude builds the full production site and deploys to Vercel or Netlify in 60 seconds No designer. No $3K per landing page. No Claude Code frontend that looks like a template from 2019. What you get: → Designer-quality landing pages and advertorials built in minutes, not weeks → Visual editing so you actually see the design before you code it → Nano Banana 2 generating on-brand product imagery and hero shots → A repeatable system — new angle, new page, same pipeline Built 100% with Google Stitch 2.0 + Claude Code. I put together a full playbook showing the exact workflow: how to find winning pages, redesign them in Stitch, and deploy with Claude Code. Want it for free? > Like this post > Comment "STITCH" And I'll send it over (must be following so I can DM)

Mike Futia

126,151 views • 5 months ago

I just built a skill that lets Claude Code watch & analyze ANY video 🤯 Drop in any video file — UGC ads, competitor Meta ads, organic TikToks, screen recordings — and Claude hands you back a full creative teardown. All inside Claude Code. Perfect for media buyers and creative strategists who reverse-engineer competitor ads every week — and lose half a day doing it by hand. If your creative process starts with studying what's already working, you're scrubbing through competitor ads frame by frame, pausing to write down every hook, screenshotting the on-screen text, and by the tenth video you can't remember what made the first one land... This skill solves it: → Drop any video file into Claude Code → Skill routes it through the Gemini API for native video understanding → Returns a full creative teardown — hook breakdown, target audience, angle, beat-by-beat, on-screen text verbatim → Surfaces the steal-worthy patterns you can apply to your own creative → Same skill works on UGC ads, produced video ads, organic TikToks, and Loom recordings No manual scrubbing. No pausing every 5 seconds. No $200/mo ad intelligence platform. What you get: → Native video understanding via Gemini (not just transcripts) → Structured analysis — hook, angle, audience, pain point, CTA → Verbatim on-screen text and dialogue with timestamps → Hook variations generated directly from competitor ads → About 27 cents per 30-minute video Built 100% in Claude Code with the Gemini API. I recorded a full breakdown showing exactly how I built this, and I'm giving away the skill for free. Want the skill? > Like this post > Comment "CLAUDE" And I'll send it over (must be following so I can DM)
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I just built a skill that lets Claude Code watch & analyze ANY video 🤯 Drop in any video file — UGC ads, competitor Meta ads, organic TikToks, screen recordings — and Claude hands you back a full creative teardown. All inside Claude Code. Perfect for media buyers and creative strategists who reverse-engineer competitor ads every week — and lose half a day doing it by hand. If your creative process starts with studying what's already working, you're scrubbing through competitor ads frame by frame, pausing to write down every hook, screenshotting the on-screen text, and by the tenth video you can't remember what made the first one land... This skill solves it: → Drop any video file into Claude Code → Skill routes it through the Gemini API for native video understanding → Returns a full creative teardown — hook breakdown, target audience, angle, beat-by-beat, on-screen text verbatim → Surfaces the steal-worthy patterns you can apply to your own creative → Same skill works on UGC ads, produced video ads, organic TikToks, and Loom recordings No manual scrubbing. No pausing every 5 seconds. No $200/mo ad intelligence platform. What you get: → Native video understanding via Gemini (not just transcripts) → Structured analysis — hook, angle, audience, pain point, CTA → Verbatim on-screen text and dialogue with timestamps → Hook variations generated directly from competitor ads → About 27 cents per 30-minute video Built 100% in Claude Code with the Gemini API. I recorded a full breakdown showing exactly how I built this, and I'm giving away the skill for free. Want the skill? > Like this post > Comment "CLAUDE" And I'll send it over (must be following so I can DM)

Mike Futia

41,779 views • 2 months ago