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I just built a Reddit research agent in Claude Code that turns real customer complaints into ad angles 🤯 It scrapes the threads where people actually rant about your category, reads every post and comment, and hands you back a dashboard of pain points, exact customer phrases, and ready-to-test... ad angles. All inside Claude Code. Perfect for DTC brands and agencies who want ad angles pulled from real customer language, not guessed in a vacuum. Reddit is the most honest focus group on earth. People say things there they'd never put in a survey or a review with a brand watching. So if you're writing hooks off your own assumptions — or digging through Reddit by hand, opening tab after tab, pasting quotes into a doc... This agent runs the entire loop: → Give it a product or category + a couple of subreddits → It searches Reddit for the threads where people actually discuss the problem → Pulls every post and comment → Claude reads all of it and finds the patterns → Builds a dashboard: pain points, desires, objections, and swipe-worthy phrases No manual scrolling. No pasting quotes into docs. No guessing what your customers actually care about. What you get: → Ranked customer pain points, each with a real verbatim quote → The exact language your customers use, ready to drop into ad copy → Objections and buying triggers pulled straight from the threads → 8-10 ready-to-test ad angles built from all of it Built 100% in Claude Code. Want the skill file for free? > Like this post > Comment "REDDIT" And I'll send it over (must be following so I can DM)show more

Mike Futia

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46,477 views • 4 months ago •via X (Twitter)

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35 Comments

Mike Futia4 months ago

Can't keep up with the DMs! You can grab that Skill for free right here:

Dominic Jenkins, CFP4 months ago

REDDIT

Arko | Shopify Landing Pages4 months ago

Reddit

Dylan Lourens4 months ago

Reddit

Greg Berry4 months ago

Sure, I'll take a look to see if it works better than ours for our use case. REDDIT

zam4 months ago

REDDIT

Enu4 months ago

REDDIT

UNIT_8004 months ago

REDDIT

CATalyst4 months ago

REDDIT

Nate4 months ago

REDDIT

Fizza4 months ago

REDDIT

Ian Morrice4 months ago

REDDIT

Lucas4 months ago

followed, retweeted, liked. send workflow please (I'm your target market) REDDIT

The Ecom Wolf4 months ago

REDDIT

benmakesmarks4 months ago

REDDIT

Mitsuda Ü4 months ago

REDDIT

Nicola Crossan4 months ago

REDDIT

Bruno Monteiro4 months ago

REDDIT

1000MOR | 16-Yr TWS Earbuds Factory4 months ago

Using Reddit to mine pain points is a cheat code for high-converting copy. But for sellers, great ads are just the beginning—backend fulfillment determines your survival. We’re a 16-year TWS factory with 2,000+ staff and 300K/day logistics capacity.

Kiran Kumar4 months ago

Reddit

Mago4 months ago

Reddit

Joris4 months ago

REDDIT

Craig4 months ago

Reddit

oblsach4 months ago

REDDIT

Ruslan Galba4 months ago

REDDIT

VS4 months ago

REDDIT

James Schroeder4 months ago

reddit

Starr4 months ago

Reddit

inversoraalos404 months ago

REDDIT

Phil4 months ago

REDDIT

Cryptophe Colomb4 months ago

REDDIT

Luke Ward4 months ago

reddit

Vishal Singh4 months ago

Reddit

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Reddit

ZFecom4 months ago

REDDIT

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Mike Futia

14,608 views • 4 months ago

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I just built a plug-and-play AI system that turns Reddit into your personal customer research assistant - feeding you ad angles, pain points, trends, and emotional hooks on autopilot here’s what it does: – pulls exact phrases your market uses (ready for ads & copy) – spots trends before your competitors – uncovers hidden objections & desires you can exploit - builds a constantly updating knowledge base based off the scraped posts all in a single view you can scan in under a minute comment “reddit” and I’ll DM you the walkthrough (must be following)

Tyler

34,944 views • 1 year ago

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Mike Futia

79,703 views • 5 months ago

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Mike Futia

23,988 views • 4 months ago

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Mike Futia

34,042 views • 5 months ago

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Mike Futia

30,368 views • 7 months ago

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Mike Futia

25,926 views • 6 months ago

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Mike Futia

18,224 views • 4 months ago

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Mike Futia

15,281 views • 7 months ago

Most brands are sitting on a goldmine of review data and wasting it. I built a GPT-4 system that turns 1,000s of reviews into: → Pain points → Objections → Triggers → Copy-ready angles 100% automated. Like + comment "gold" and I'II send it. (must be following)

Most brands are sitting on a goldmine of review data and wasting it. I built a GPT-4 system that turns 1,000s of reviews into: → Pain points → Objections → Triggers → Copy-ready angles 100% automated. Like + comment "gold" and I'II send it. (must be following)

George Wall | CRO Master

26,403 views • 1 year ago

Most brands are sitting on a goldmine of review data-and wasting it. I built a GPT-4 system that turns 1,000s of reviews into: → Pain points → Objections → Triggers → Copy-ready angles 100% automated. Like + comment "gold" and I'II send it. (must be following)

Most brands are sitting on a goldmine of review data-and wasting it. I built a GPT-4 system that turns 1,000s of reviews into: → Pain points → Objections → Triggers → Copy-ready angles 100% automated. Like + comment "gold" and I'II send it. (must be following)

George Wall | CRO Master

35,215 views • 1 year ago

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Mike Futia

81,139 views • 8 months ago

I just vibe coded a static ad generator in Claude Code that creates 100+ Meta ads in minutes. All using the new, insane ChatGPT Images 2.0 model. One competitor ad + your product photo + your brand kit = dozens of on-brand variations, each targeting a different customer persona. Built 100% in Claude Code on the new ChatGPT Images 2.0. Perfect for DTC brands and agencies who need more statics at scale. Here's how it works: → Upload any competitor ad as your reference template → Add your product photos and brand kit (colors, fonts, logos) → AI generates 10 customer profiles from your brand research → Pick how many variations you want (10, 20, 30) → Tool fires every prompt to ChatGPT Images 2.0 with persona-specific copy for each one No designer back-and-forth. No Canva templates. No generic "Shop Now" on everything. What you get: → Ads that mirror winning concepts in your brand's voice → Text that actually renders correctly (the new model handles dense copy, logos, and multi-language callouts cleanly) → Copy targeted to specific customer pain points and personas → Multi-brand/client support with saved brand kits → Reusable customer profiles you build once and generate from forever I recorded a full walkthrough showing exactly how this works, including ALL the prompts I used so you can build it yourself. Want access to 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

53,015 views • 6 months ago

Today we're introducing Claude for Reddit marketing. Drop your link. MediaFast maps the subreddits your buyers read, writes the posts, finds the threads to comment in, and times all of it.x ChatGPT reads Reddit. Soon it reads about you.

Today we're introducing Claude for Reddit marketing. Drop your link. MediaFast maps the subreddits your buyers read, writes the posts, finds the threads to comment in, and times all of it.x ChatGPT reads Reddit. Soon it reads about you.

MediaFast

26,128 views • 4 months ago

I just built a self-improving second brain in Claude Code 🤯 A brain that runs your brand: every tool reads from it, it's wired to your live data, and it gets smarter every week. All running on the Claude Agent SDK. Perfect for DTC brands and agencies whose AI output sounds generic because every new chat starts from zero. If you're re-explaining your brand to AI every single time — re-pasting the voice guidelines, re-describing the customer you've described a hundred times, re-uploading the same positioning doc you uploaded yesterday, and still editing for an hour to strip out the generic phrasing... A brand second brain fixes the entire loop: → Build 3 foundation files once: brand DNA, voice, and customer → Every skill you create reads from them automatically → Wire in live data — your ad account, competitor ads, customer reviews → A weekly routine refreshes the brain with what's actually working → Every output comes back on-brand on the first pass No re-briefing AI on every chat. No hour of editing to undo generic phrasing. No brain that goes stale the week after you build it. What a second brain gives you: → The exact 3-file foundation that runs the whole system → The skill structure that makes every tool brand-aware by default → The live-data wiring that keeps it grounded in reality → The weekly self-improvement loop that keeps it sharp → The cold-start sequence to stand it all up from zero Built 100% in Claude Code. I put together the full playbook with the file structure, the wiring, and the exact setup. Want it for free? > Like this post > Comment "BRAIN" And I'll send it over (must be following so I can DM)

Mike Futia

18,400 views • 4 months ago

I built a junior strategist that works 24/7, never sleeps, and scrapes the internet for ad ideas on command. it’s Claude, powered by Apify’s new MCP integration - and it changed how I do creative research. now I can run prompts like: “scrape the latest YouTube comments from this video and tell me the top pain points, objections, and emotional triggers… then give me 3 ad angles based on what you find.” I use it to: – pull research from Reddit, YouTube, Amazon, TikTok – extract real voice-of-customer insight – generate copy + offers that actually resonate – spot trends before they pop if you're still writing copy without scraping the comments section first… ngmi this is what prompt-native research looks like want my step-by-step setup guide for turning Claude into an MCP-powered research assistant? comment “MCP”, follow + repost and I’ll send it over (must be following so I can DM).

I built a junior strategist that works 24/7, never sleeps, and scrapes the internet for ad ideas on command. it’s Claude, powered by Apify’s new MCP integration - and it changed how I do creative research. now I can run prompts like: “scrape the latest YouTube comments from this video and tell me the top pain points, objections, and emotional triggers… then give me 3 ad angles based on what you find.” I use it to: – pull research from Reddit, YouTube, Amazon, TikTok – extract real voice-of-customer insight – generate copy + offers that actually resonate – spot trends before they pop if you're still writing copy without scraping the comments section first… ngmi this is what prompt-native research looks like want my step-by-step setup guide for turning Claude into an MCP-powered research assistant? comment “MCP”, follow + repost and I’ll send it over (must be following so I can DM).

J.B.

94,362 views • 1 year ago

Most companies don't know what their customers are actually frustrated about. So I built an AI agent called **Customer Pain Point Miner**. Type a company name, and it automatically finds: • Top customer complaints • Features users keep requesting • Recurring frustrations • Product improvement opportunities It scans reviews, Reddit threads, forums, and blogs, then turns thousands of discussions into a sourced report. No surveys. No guessing. Just real customer feedback from across the web. Built it with Nimble Their APIs made it surprisingly easy to search, extract, and structure live web data into something an AI agent can actually reason about. The best roadmap isn't hidden in another brainstorming session. It's already sitting in your customers' conversations.

Most companies don't know what their customers are actually frustrated about. So I built an AI agent called Customer Pain Point Miner. Type a company name, and it automatically finds: • Top customer complaints • Features users keep requesting • Recurring frustrations • Product improvement opportunities It scans reviews, Reddit threads, forums, and blogs, then turns thousands of discussions into a sourced report. No surveys. No guessing. Just real customer feedback from across the web. Built it with Nimble Their APIs made it surprisingly easy to search, extract, and structure live web data into something an AI agent can actually reason about. The best roadmap isn't hidden in another brainstorming session. It's already sitting in your customers' conversations.

Vipin Gautam (Viipin I Gautam)

96,173 views • 4 months ago

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

426,740 views • 8 months ago

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

36,304 views • 5 months ago

I just vibe-coded a Meta ad research app in Claude Code 🤯 One keyword → winning ads analyzed, creative briefs written, trends mapped, and 10 ad variations generated for your brand. All inside Claude Code. Perfect for DTC brands and agencies still running competitor research by hand inside the Meta Ad Library. This app eliminates the entire loop: → Search and filter winning Facebook ads by niche, country, language, and performance tier → Watch video ads inline without ever leaving the app → Pull the top performers and generate a full creative brief tailored to your brand → Run a trend radar across 100+ ads to see which formats, CTAs, and landing pages are winning your niche → Pick any winning video and Gemini watches it, reverse-engineers the creative DNA, and writes 10 new variations for your product No scrolling the Ad Library for hours. No manual note-taking. No rewriting briefs from scratch. What you get: → Creative briefs built from real winning ads in your niche → Trend analysis: format distribution, top CTAs, landing page intel, and AI insights → 10 brand-specific ad variations from any winning video, with hooks, scripts, and Nano Banana prompts → A full app you host in Replit and customize for your team Built 100% in Claude Code with the gethookd.ai API + Gemini. I put together a free playbook with every prompt I used to build this from scratch, so you can build your own. Want it for free? > Like this post > Comment "META" And I'll send it over (must be following so I can DM)

Mike Futia

13,101 views • 4 months ago