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I blacked out & built HexClad a Bloomberg creative terminal over the weekend I couldn’t find a single tool that had all of these features included so (naturally) I built one 👇 - automated iteration generation - creative -> landing page personalization (utm-based) - testing targets & benchmarks -...

15,091 次观看 • 1 个月前 •via X (Twitter)

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

Mike Futia

35,942 次观看 • 2 个月前

Endless influencer ads without shipping/mailing a single product. (How I automated e-commerce creative generation and cut campaign costs by 75%) Traditional influencer marketing sucks for most e-commerce brands: → High upfront costs for product samples → Shipping delays that kill campaign momentum → Limited creative output from each collaboration → No way to test concepts before major investment Google's Nano Banana changes all of that. I built this n8n automation that generates unlimited influencer ad creative using just product photos and a reference image of your influencer: → AI combines your product with influencer photos seamlessly → Creates multiple campaign variations in minutes → Generates high-quality, campaign-ready assets → Eliminates sample costs and shipping delays → Perfect for A/B testing creative concepts The business impact has been massive: ✅ 75% reduction in campaign setup costs ✅ 10x faster creative iteration cycles ✅ 300% increase in testable ad variations ✅ Zero inventory risk for new product launches This system reclaimed 15+ hours per week that used to go toward managing physical product samples and shipping logistics. The complete automation runs on n8n with Google's Imagen 3 API – no coding required. Want to see exactly how it works? 1. Like & RT 2. Bookmark this post for later reference 3. Comment "SYSTEM" below (must be following so I can DM you) I'll send you the entire system template for free, including setup instructions and prompt engineering guides.

David Roberts

26,235 次观看 • 10 个月前

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

Mike Futia

17,353 次观看 • 2 个月前

Congrats to EloShapes.com on their launch! On a similar note, is out of beta and available to the public. A lot of you have been asking me what my plan is now that EloShapes is also doing 3D scans... the answer is: nothing changed! I think that competition is good. I'm a mouse nerd and a LONG TIME EloShapes user, so the more options I get as a user, the better. I really think that my vision and EloShapes, though, is fundamentally different. I've had the domain for FMM for years, I have a much larger platform in mind compared to what I built so far. The 3D scans are the necessary step for my vision, not the end goal: they never were. I am also very proud of the fact that I've been able to scan at least 5 mice in full color EVERY DAY with my own pipeline, and I think I will easily have almost full coverage of the mice people would want on the website within months. Check the video for the mice I've added in just the last few days, all textured. Apart from some of the features I've mentioned before (like the virtual hand/grip), FMM is meant to be kind of a "MyAnimeList" for mice, so that you can share your profile, like this: and then later on leverage this curated list of mice you build for yourself to be shown even more mice you might like. FMM is also a tool for reviewers and anyone that wants to share their opinions on mice. Links like this: allow you to easily share your specific points about a mouse via the annotations, viewpoint sharing and measurements. And of course, as I've said since the beginning, I will use FMM to centralize all my hard testing about sensors, dpi, and such, so that you'll be able to find EVERYTHING about a mouse, including the raw results of my standardized sensor implementation testing. So, with this said, I will keep scanning as many mice as possible and adding as many features as possible until FMM becomes what I envisioned so long ago. Join my discord if you want to keep up! I hope you'll all give it a try! Ciao!

bardOZ (Giovanni Laerte Frongia)

25,646 次观看 • 3 个月前

Most brands think AI video is about automation. Mirage Studio just proved it's about control. I've tested every AI video tool this year. They all promise "create videos in seconds" but deliver generic, robotic content that screams AI. Mirage is different. Upload your photo (or pick an AI actor). Then control everything: → Switch outfits without reshooting → Drop in any product with just an image → Adjust lighting, angles, expressions → Keep your actor consistent across unlimited scenes The game-changer for brands? Product integration that actually looks real. Upload a photo of your product. Mirage places it naturally in the scene. No green screens. No awkward compositing. Just seamless integration. I watched a creator build 15 product variations in 20 minutes. Same actor. Different products. Perfect consistency. That used to take: • $10K+ production budget • 2-day shoot minimum • 3 weeks of post-production • Endless revision cycles Now it takes an afternoon. For performance marketers, this changes everything: - Test 50 creative variations without 50 shoots - A/B test products, props, backgrounds at scale - Keep your winning actor across every campaign - Own full commercial rights to everything The brands who figure this out first will dominate their creative testing. While competitors burn budgets on traditional shoots, you'll be testing 10x more concepts at 1/10th the cost. See what director-level control actually means: Your creative team will thank you. And yes, I'm proud to be a paid advocate for Mirage.

Chase Dimond | Email Marketing Nerd 📧

39,302 次观看 • 10 个月前

Advertorial pages are crushing it for e-comm and affiliate. And I just automated the entire creation process with AI 🤯 Product URL → AI research → full pre-sale page draft in minutes. All inside n8n + Airtable. Perfect for e-comm brands and affiliates who know these pages convert but hate building them from scratch. Here's the problem: You know you should be testing listicles and pre-sale pages. Ridge does it. HexClad does it. Javi Coffee does it. But every page takes hours. Researching the product, writing the hook, structuring the sections. It's a huge pain in the a$$. This system solves it: → Submit product URL + customer avatar via Airtable form → FireCrawl scrapes the entire product page → AI generates components: core problem, failed alternatives, unique mechanism, benefits, social proof, trust signals → Review and edit each section before final generation → Click one button to generate the full advertorial page No starting from a blank doc. No watching competitor videos manually. No rewriting the same sections over and over. What you get: - Three formula templates (transformation story, problem-solution listicle, premium brand listicle) - Editable component fields so you can tweak before final output - Full markdown page ready for your team to polish - Extensible structure to add your own formulas Built 100% in n8n + Airtable + FireCrawl. I recorded a full walkthrough showing exactly how this works and how I built it AND I'm including the n8n template. Want the full tutorial + n8n workflow? >Like this post > Comment "LIST" And I'll send it over (must be following so I can DM)

Mike Futia

18,674 次观看 • 6 个月前

i did it. i vibe-coded my own vibe-noding app⚡️ lately every ai tool has been announcing some kind of node canvas. they’re all impressive in their own way, but each one solves a different problem, with a different logic, in a different universe. some are too technical, some are too rigid, most feel like they were designed by a backend engineer. so i built the version i actually want to use. over the last few days i hacked this together with Google Gemini and Google Antigravity. the tool is absurdly capable. i didn’t touch a single line of code. the result is a fully working app with smooth ui animations, smart interactions, and a workflow that doesn’t fight me. my focus isn’t on the models. Nano Banana 2 Lite is already strong enough to generate half a universe on its own. and a year from now, we won’t care about model juggling anyway. we’ll have one model doing everything. the real problem is the workflow. the interface. the flow state. so i optimized for that. the whole point is to keep the technical junk out of the way during ideation and iteration. i want to try an idea, branch it, remix it, explore it, all on a single canvas. every block is editable. every idea is forkable. every path is visible. the design isn’t perfect yet. some of the ui patterns are familiar on purpose. good ideas deserve to be stolen. i rushed it. i let a bunch of great ui decisions die for speed. but it works. and honestly, it feels great to use. future of creating is more organic and more fluid. not just chat bubbles. not rigid feeds. but an intelligent canvas where ideas can grow, split, collapse, or evolve without friction. where the environment quietly adapts to your workflow instead of interrupting it. this is my first version. just for myself, for now. but it’s a start.

Synthetic_soul

239,298 次观看 • 8 个月前

Good morning! I'm excited to introduce my Partner and Coder of the Exposure Tool, Jody. Here are a few words from him and a video about the tool! Jody haven coding for over 25 years! , This is not Just a simple Tool who deploy Gex.. this its a Unique and Complete Profiling Tool for TOS , This will change the way we trade and how we read the market, On the Discord we have EDU and more info and as well live stream , If you want to Subscribe to the tool , Join discord and open a ticket or just DM me. Im going to Give a bundle of this tool + Option Volume Profile . ConvexSwan Doc aka Trader McGraw ∴ 🕉️ShivaAnalytics🕉️ ∴ Hello Everyone, I wanted to take a moment to introduce myself. My name is Jody and I have been a TOS user for over 25 years and have created hundreds of custom studies and strategies under the name CustomThinkscript. SPX_Omega recently approached me regarding the GEX Profile study that I had created a few years back. He stated that he had a group of like minded traders that were very interested in this study and asked if I would partner up and develop additional features. When the GEX was first created it was designed within the parameters that a customer had requested, it was then delivered to this trader and not really updated much since that time. Given the renewed interest from SPX_Omega I reexamined the study, optimized the code and added a ton of new features. The current version which is going to be rebranded as “Exposure Profile” and released shortly can now plot 6 different exposure profiles (Gamma, Delta, Vega, Charm, Vanna and Vomma). Remember these are exposure profiles so we are not just plotting straight gamma or delta, we are applying them to open interest and getting exposure level data with individual strike level IV calculations. Additionally, I also created a companion study that bypasses some thinkscript restrictions and allows me to plot the profiles of indices like SPX. Another recent addition was the ability to view the data profiles on an intraday chart. It sure has been an exciting couple of weeks breathing new life into this study. I made a short video detailing the installation and some of the features. Be kind, video editing is not my forte but there is some good information in there and I hope you check it out. Jody

SPX_Omega

24,843 次观看 • 1 年前

I just built one of the greatest insider buying tracker tools of all time with Perplexity Computer. I wanted to find out one question: Which stocks actually have a high correlation of share price appreciation and insider buying? What Perplexity Computer built to answer this was truly amazing. Here's what it did: It pulled 1,301 real SEC Form 4 insider purchases across 184 S&P 500 stocks over the last 5 years. Then it tracked what happened to each stock AFTER insiders bought, measuring forward returns, win rates, and purchase frequency. It combined all of that into a single "Alpha Score" that ranks every stock by how reliably it goes up after insiders buy. The results? $COIN: 100% win rate. +187% average return after insider buys. $ET: 100% win rate. 52 purchases. $514M in total insider buying. $VST, $LUV, $CAT, $LLY, all 100% win rates. 73% of ALL insider purchases across the S&P 500 led to share price gains. But it didn't stop there. It also built: - A live purchase feed tracking every new SEC filing - Cluster buy detection (multiple insiders buying the same stock within 14 days) - A sector heatmap showing where insiders are putting their money - Top conviction buys (Berkshire's $2.1B OXY position, Musk's $1B TSLA buy) The whole thing looks like a Bloomberg terminal. Dark theme. Real time data. Fully interactive. I didn't write a single line of code. I just told Perplexity Computer what I wanted, and it researched the data, ran the analysis, and built the entire dashboard from scratch. This is the future of building things with AI. The best part was that it created a proprietary "Alpha Score" for every stock. This was a composite ranking from 0 to 100 that weighs four factors: 1. How often insiders bought (frequency) 2. How much money they put in (total value) 3. What percentage of buys led to gains (win rate) 4. How big those gains were (average forward return) The higher the Alpha Score, the stronger the correlation between insider buying and share price appreciation. It revealed insights you would've never expected. The energy sector ended up having the highest Alpha Score, meaning insiders buying energy stocks is very correlated with energy stocks surging. I have paid for data on insider buying in the past. I literally built a better tool with Perplexity Computer than the insider buying tools I have been using for the last 3 years.

Dividendology

184,157 次观看 • 5 个月前