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I hated how bad agents are at design I hated how Codex can't access Mobbin So I created Lazyweb - 257k+ screens (apps/web) - 6 opinionated design research skills - 1 MCP (Claude/Codex) 100% Free...AI native...no rate limits...no subscriptions.. Enjoy (and tell a friend) 🫡

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Ali Abouelatta

16,399 subscribers

352,869 次观看 • 2 个月前 •via X (Twitter)

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I studied 𝟭,𝟰𝟲𝟬 𝗼𝗻𝗯𝗼𝗮𝗿𝗱𝗶𝗻𝗴 𝗳𝗹𝗼𝘄𝘀 across 𝟵𝟴𝟲 apps & websites. the average app has 25 onboarding screens. and some of the longest ones are the most successful. so it's probably not about making onboarding shorter. then what actually makes a good onboarding flow? Mobbin's data: → 22% of apps personalize during onboarding (AI apps: only 7%) → 22% show a paywall during onboarding → 6.3% do both This 10-minute video breaks down how top apps design onboarding, from Duolingo, Headspace , Bump by amo, Airbnb, and more 🔎 'mobbin onboarding' on youtube
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I studied 𝟭,𝟰𝟲𝟬 𝗼𝗻𝗯𝗼𝗮𝗿𝗱𝗶𝗻𝗴 𝗳𝗹𝗼𝘄𝘀 across 𝟵𝟴𝟲 apps & websites. the average app has 25 onboarding screens. and some of the longest ones are the most successful. so it's probably not about making onboarding shorter. then what actually makes a good onboarding flow? Mobbin's data: → 22% of apps personalize during onboarding (AI apps: only 7%) → 22% show a paywall during onboarding → 6.3% do both This 10-minute video breaks down how top apps design onboarding, from Duolingo, Headspace , Bump by amo, Airbnb, and more 🔎 'mobbin onboarding' on youtube

Rachel How

26,010 次观看 • 2 个月前

🦀 Turn your OpenClaw into RocketClaw. Most AI agents can search. RocketClaw helps them explore the real web. Powered by the UpRock Network, RocketClaw upgrades OpenClaw with: → Access to 3M+ real devices across 190+ countries → Multi-engine research and discovery → Geo-targeted crawling and verification → Multimodal intelligence and AI-native web skills → No API keys. No proxy setup. No complex configuration. Paste into your OpenClaw chat: _ npm i -g uprock Bonus: Get 5,000 free AI credits every month when you install. Upgrade your agent. Unlock the swarm. Earn while you sleep.
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🦀 Turn your OpenClaw into RocketClaw. Most AI agents can search. RocketClaw helps them explore the real web. Powered by the UpRock Network, RocketClaw upgrades OpenClaw with: → Access to 3M+ real devices across 190+ countries → Multi-engine research and discovery → Geo-targeted crawling and verification → Multimodal intelligence and AI-native web skills → No API keys. No proxy setup. No complex configuration. Paste into your OpenClaw chat: _ npm i -g uprock Bonus: Get 5,000 free AI credits every month when you install. Upgrade your agent. Unlock the swarm. Earn while you sleep.

UpRock

129,945 次观看 • 27 天前

Flighty is one of those apps every indie iOS dev should study. Ryan Jones got stuck at an airport, hated how useless airline apps were, and decided to build the flight tracker he wished existed. Former Apple ops employee. Built for travelers, not airlines. Won an Apple Design Award. Was used by Apple to show off Dynamic Island. No growth hacks. No loud marketing playbook. Just a product so useful that travelers tell other travelers. That might be the cleanest moat in consumer apps.
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Flighty is one of those apps every indie iOS dev should study. Ryan Jones got stuck at an airport, hated how useless airline apps were, and decided to build the flight tracker he wished existed. Former Apple ops employee. Built for travelers, not airlines. Won an Apple Design Award. Was used by Apple to show off Dynamic Island. No growth hacks. No loud marketing playbook. Just a product so useful that travelers tell other travelers. That might be the cleanest moat in consumer apps.

Jana

52,012 次观看 • 1 个月前

Claude Fable 5 + Claude Design is f*cking insane 🤯 Anthropic just dropped its most intelligent model ever, and the first thing I pointed it at was email design. I built a complete email campaign design in Claude Design, and the difference is night and day: tighter layouts, cleaner hierarchy, on-brand from the first generation. All inside Claude Design with Fable 5. Perfect for DTC brands and agencies who are still paying email agencies $3-5K/month for campaign designs that take 2 weeks to ship. If your campaign calendar is packed but every new email means briefing a designer, waiting on mockups, sending notes, and waiting again... This workflow eliminates the entire bottleneck: → Load your brand design system into Claude Design once (colors, fonts, logo, button styling) → Switch the model to Claude Fable 5 — Anthropic's new state-of-the-art model with the best vision of any AI → Prompt the campaign email section by section: header, hero, headline, offer block, CTA → Fable 5 nails layout and brand details that older models fumbled → Iterate inline — swap images, adjust styling, color-pick directly in the canvas → Export the finished email and hand off to your ESP No briefing a designer. No 2-week turnaround on a single campaign. No paying an agency $4K/month for 4 emails. What you get: → Campaign emails designed in minutes, not weeks → A reusable design system every new email pulls from automatically → Noticeably smarter design decisions from Fable 5's upgraded vision → Full inline editing before anything touches your ESP Built 100% with Claude Design + Claude Fable 5. I recorded a full walkthrough showing exactly how this works. Want it for free? > Like this post > Comment "FABLE" And I'll send it over (must be following so I can DM)
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Claude Fable 5 + Claude Design is f*cking insane 🤯 Anthropic just dropped its most intelligent model ever, and the first thing I pointed it at was email design. I built a complete email campaign design in Claude Design, and the difference is night and day: tighter layouts, cleaner hierarchy, on-brand from the first generation. All inside Claude Design with Fable 5. Perfect for DTC brands and agencies who are still paying email agencies $3-5K/month for campaign designs that take 2 weeks to ship. If your campaign calendar is packed but every new email means briefing a designer, waiting on mockups, sending notes, and waiting again... This workflow eliminates the entire bottleneck: → Load your brand design system into Claude Design once (colors, fonts, logo, button styling) → Switch the model to Claude Fable 5 — Anthropic's new state-of-the-art model with the best vision of any AI → Prompt the campaign email section by section: header, hero, headline, offer block, CTA → Fable 5 nails layout and brand details that older models fumbled → Iterate inline — swap images, adjust styling, color-pick directly in the canvas → Export the finished email and hand off to your ESP No briefing a designer. No 2-week turnaround on a single campaign. No paying an agency $4K/month for 4 emails. What you get: → Campaign emails designed in minutes, not weeks → A reusable design system every new email pulls from automatically → Noticeably smarter design decisions from Fable 5's upgraded vision → Full inline editing before anything touches your ESP Built 100% with Claude Design + Claude Fable 5. I recorded a full walkthrough showing exactly how this works. Want it for free? > Like this post > Comment "FABLE" And I'll send it over (must be following so I can DM)

Mike Futia

42,556 次观看 • 1 个月前

Claude Design + Shopify is f*cking ridiculous 🤯 You can now publish pages from Claude Design → Claude Code → Shopify. Built 100% with Claude Design, Claude Code, and the Shopify CLI. Perfect for DTC brands and agencies who want to skip the design → dev handoff entirely. Here's how it works: → Design any landing page in Claude Design → Export as a zip and drop it into Claude Code → Install the Shopify + Shopify AI Toolkit plugins → Prompt Claude to convert the HTML into a Shopify page template + push to live theme → Claude uploads the images, deploys the files, and creates a published page No more handing designs off to a dev and waiting 2 weeks for a Shopify page. What you get: - A workflow that turns any Claude Design page into a real Shopify page template - Editable sections so your marketing team can swap copy, images, and CTAs without code - Images uploaded straight to Shopify Files automatically - A files-only deploy that only touches what's new in your live theme - A repeatable pipeline you can use every time you design a new landing page This is essentially the design-to-deploy pipeline brands have been waiting for. I put together a step-by-step playbook for going from Claude Design → published Shopify page. Every install, every plugin, every command, and the exact prompt that runs the whole thing. Want the playbook for free? > Like this post > Comment "SHOP" And I'll send it over (must be following so I can DM)
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Claude Design + Shopify is f*cking ridiculous 🤯 You can now publish pages from Claude Design → Claude Code → Shopify. Built 100% with Claude Design, Claude Code, and the Shopify CLI. Perfect for DTC brands and agencies who want to skip the design → dev handoff entirely. Here's how it works: → Design any landing page in Claude Design → Export as a zip and drop it into Claude Code → Install the Shopify + Shopify AI Toolkit plugins → Prompt Claude to convert the HTML into a Shopify page template + push to live theme → Claude uploads the images, deploys the files, and creates a published page No more handing designs off to a dev and waiting 2 weeks for a Shopify page. What you get: - A workflow that turns any Claude Design page into a real Shopify page template - Editable sections so your marketing team can swap copy, images, and CTAs without code - Images uploaded straight to Shopify Files automatically - A files-only deploy that only touches what's new in your live theme - A repeatable pipeline you can use every time you design a new landing page This is essentially the design-to-deploy pipeline brands have been waiting for. I put together a step-by-step playbook for going from Claude Design → published Shopify page. Every install, every plugin, every command, and the exact prompt that runs the whole thing. Want the playbook for free? > Like this post > Comment "SHOP" And I'll send it over (must be following so I can DM)

Mike Futia

56,183 次观看 • 2 个月前

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I just built a high-converting video ad in a few hrs using only AI. No filming. No expensive equipment. No expert video editing skills. So I compiled all of it into my complete "AI Video Ad Builder" guide which contains: -Hook formulas -AI voiceover secrets -Sora prompts for perfect B-roll -Platform hacks for Reels, Meta & Threads This is how small brands are competing with million-dollar budgets. Want it free? Like + Comment "AI" and I'll DM you (Must be following or I can't DM)

Marco - eCom & Performance Creatives

14,464 次观看 • 10 个月前

HTML Artifacts are a big part of how I work with agents now. Artifacts can be more than just static files. When combined with agents, they can take action or help you take action. This unlocks all kinds of interesting ways to work with agents. This is clearly the future. Check out this writing and scheduler artifact I built in a few minutes. It uses a bit of HTML and JS. All the data is in markdown (Obsidian vaults), so the agent can access and modify it at any time. No DB needed. No sophisticated functionalities. The agent decides all that for me based on the skills, context, and memory it has access to. The best part about this simple stack is that all the important information stays with me. This has allowed me to build a recursive self-improving system and automations that can better tap into coding agents like Codex or Claude Code. I could have paid or built an entire app for scheduling posts, and there are so many of them out there. But I don't need to. I've realized a simple artifact does the job. And the simplicity of it is actually an advantage. Very little maintenance for very high returns on personalization, time, and efficiency. The other benefit of this is that I can add features as I please. That level of personalization feels magical, and we should all be pursuing more of it. All of this just keeps compounding. Of course, this example is just about writing. But I have similar artifacts for research, design, experimentation, evaluation, and so much more. And no, I didn't actually publish the post example I shared in the clip. It was just for demonstration purposes. I actually spend more time than this when writing together with agents. Lastly, having built my own agent orchestrator tool has made me realize that simplifying the tool stack is a superpower. If you are curious about how all this works, I will do a live session next week:
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HTML Artifacts are a big part of how I work with agents now. Artifacts can be more than just static files. When combined with agents, they can take action or help you take action. This unlocks all kinds of interesting ways to work with agents. This is clearly the future. Check out this writing and scheduler artifact I built in a few minutes. It uses a bit of HTML and JS. All the data is in markdown (Obsidian vaults), so the agent can access and modify it at any time. No DB needed. No sophisticated functionalities. The agent decides all that for me based on the skills, context, and memory it has access to. The best part about this simple stack is that all the important information stays with me. This has allowed me to build a recursive self-improving system and automations that can better tap into coding agents like Codex or Claude Code. I could have paid or built an entire app for scheduling posts, and there are so many of them out there. But I don't need to. I've realized a simple artifact does the job. And the simplicity of it is actually an advantage. Very little maintenance for very high returns on personalization, time, and efficiency. The other benefit of this is that I can add features as I please. That level of personalization feels magical, and we should all be pursuing more of it. All of this just keeps compounding. Of course, this example is just about writing. But I have similar artifacts for research, design, experimentation, evaluation, and so much more. And no, I didn't actually publish the post example I shared in the clip. It was just for demonstration purposes. I actually spend more time than this when writing together with agents. Lastly, having built my own agent orchestrator tool has made me realize that simplifying the tool stack is a superpower. If you are curious about how all this works, I will do a live session next week:

elvis

18,374 次观看 • 2 个月前

I AM QUITTING MY JOB TO GO FULL IN CLAUDE Just asked him to: "Analyze misspriced Polymarket markets opportunities for arbitrage and find wallets that are using it to copy" Turned $2K into $12K in one night Monitored ~1k+ wallets I just realized that there are many arbitrage bots that I can't beat without code knowledge But I can find them and copy So Claude created a monitoring terminal and copytraded found wallets using TG copytrading bot It's not a script and not even the bot, it's an AI agent that is improving with each found wallet Fetching wallet behaviour, how it's trading, arbitrage, what's sized and timings 70% win rate, 7 wallets copytrading rn from ~500 monitored, bot never paused, never gambling, just math and profit Giving This Free for 24 hours. To get it: 1. Comment the word 'Claude' 2. Like and Retweet this post 3. Follow me Marry Evan (so i can DM you)
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I AM QUITTING MY JOB TO GO FULL IN CLAUDE Just asked him to: "Analyze misspriced Polymarket markets opportunities for arbitrage and find wallets that are using it to copy" Turned $2K into $12K in one night Monitored ~1k+ wallets I just realized that there are many arbitrage bots that I can't beat without code knowledge But I can find them and copy So Claude created a monitoring terminal and copytraded found wallets using TG copytrading bot It's not a script and not even the bot, it's an AI agent that is improving with each found wallet Fetching wallet behaviour, how it's trading, arbitrage, what's sized and timings 70% win rate, 7 wallets copytrading rn from ~500 monitored, bot never paused, never gambling, just math and profit Giving This Free for 24 hours. To get it: 1. Comment the word 'Claude' 2. Like and Retweet this post 3. Follow me Marry Evan (so i can DM you)

Marry Evan

203,892 次观看 • 3 个月前

Unleash your creativity with Webflow 🔥 5 years ago, I was just a designer, I discovered Webflow, which allowed me to cover the whole creative scope and bring my idea to life by building it. I could think about an idea and build it straight away and also have the double skills of a designer/developer making your design differently, thinking about how you will build it on Webflow. Thanks to that, I could take on bigger projects and bigger clients and grow the studio; there are almost no limits to building in Webflow 🔥
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Unleash your creativity with Webflow 🔥 5 years ago, I was just a designer, I discovered Webflow, which allowed me to cover the whole creative scope and bring my idea to life by building it. I could think about an idea and build it straight away and also have the double skills of a designer/developer making your design differently, thinking about how you will build it on Webflow. Thanks to that, I could take on bigger projects and bigger clients and grow the studio; there are almost no limits to building in Webflow 🔥

Alex Tourgis

13,407 次观看 • 2 年前

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)
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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

37,592 次观看 • 1 个月前

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

125,557 次观看 • 3 个月前

I just built a complete SEO audit plugin in Claude Code that replaces your $200/mo Ahrefs subscription 🤯 One Claude Plugin audits any store: technical SEO, product schema, content, Core Web Vitals, and AI-search readiness. Parallel agents, a 0-100 score, and a dashboard that renders right in the panel. All inside Claude Code. So I pointed it at Ridge .com, one of the sharpest DTC operators out there. It came back 56/100, and what stood out wasn't a knock on them at all: Ridge has a better AI-commerce setup than 99% of stores. A real llms.txt, an agent-discovery sitemap, a live MCP endpoint, genuinely ahead of the curve. And even on a store that dialed-in, the audit surfaced fixable gaps in ~90 seconds: → Room to add product structured data → A mobile Core Web Vitals score worth tightening → A thin meta description on a high-traffic collection Perfect for e-comm operators and SEO agencies who are sick of paying $200/mo for tools that bury the real issues, running quarterly audits that take a week, and shipping reports nobody can act on. So I put together the full playbook to build your own. The complete guide to building this Plugin in Claude Code: branded to you, tuned to exactly how you audit, repeatable across every client. The kind of audit you run in minutes and hand over as a deliverable that looks like it cost thousands. What's inside: → The architecture (orchestrator + parallel sub-agents) → How to fetch any store past Cloudflare → The 0-100 scoring + falsifiable-findings framework → How to ship the HTML dashboard for client demos → The full build, start to finish Want the playbook for free? > Like this post > Comment "SEO" And I'll send it over (must be following so I can DM)
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I just built a complete SEO audit plugin in Claude Code that replaces your $200/mo Ahrefs subscription 🤯 One Claude Plugin audits any store: technical SEO, product schema, content, Core Web Vitals, and AI-search readiness. Parallel agents, a 0-100 score, and a dashboard that renders right in the panel. All inside Claude Code. So I pointed it at Ridge .com, one of the sharpest DTC operators out there. It came back 56/100, and what stood out wasn't a knock on them at all: Ridge has a better AI-commerce setup than 99% of stores. A real llms.txt, an agent-discovery sitemap, a live MCP endpoint, genuinely ahead of the curve. And even on a store that dialed-in, the audit surfaced fixable gaps in ~90 seconds: → Room to add product structured data → A mobile Core Web Vitals score worth tightening → A thin meta description on a high-traffic collection Perfect for e-comm operators and SEO agencies who are sick of paying $200/mo for tools that bury the real issues, running quarterly audits that take a week, and shipping reports nobody can act on. So I put together the full playbook to build your own. The complete guide to building this Plugin in Claude Code: branded to you, tuned to exactly how you audit, repeatable across every client. The kind of audit you run in minutes and hand over as a deliverable that looks like it cost thousands. What's inside: → The architecture (orchestrator + parallel sub-agents) → How to fetch any store past Cloudflare → The 0-100 scoring + falsifiable-findings framework → How to ship the HTML dashboard for client demos → The full build, start to finish Want the playbook for free? > Like this post > Comment "SEO" And I'll send it over (must be following so I can DM)

Mike Futia

55,266 次观看 • 1 个月前

CLAUDE + MCP just automated 100% of my Facebook Ads reporting. This MCP integration turns Claude into your personal Facebook Ads analyst. Ask questions in plain English. Get full performance reports with charts in seconds. Perfect for agencies & e-comm operators who are tired of wrestling with Ads Manager. Here's the problem: You need a quick performance snapshot for a client call. So you're digging through Ads Manager, pulling metrics into spreadsheets, building charts manually, formatting everything into something presentable. 30 minutes later, you've got one report. Claude + MCP does it differently: → Connects directly to your Facebook Ads account → Pulls all performance data automatically → Calculates ROAS, CPA, conversion rates on demand → Generates charts and visualizations in real-time → Builds complete client-ready reports from scratch No Ads Manager tabs. No spreadsheet wrangling. No formatting headaches. What you can ask Claude: - "How did my campaigns perform last week?" - "Which ad sets have the best ROAS?" - "Build me a client report for October" - "What's killing my conversion rate?" One prompt. Full report. Done. Built with Claude MCP. Want the complete MCP setup? > Comment "CLAUDE" > Like this post And I'll send it over (must be following so I can DM) @techwithashiqur
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CLAUDE + MCP just automated 100% of my Facebook Ads reporting. This MCP integration turns Claude into your personal Facebook Ads analyst. Ask questions in plain English. Get full performance reports with charts in seconds. Perfect for agencies & e-comm operators who are tired of wrestling with Ads Manager. Here's the problem: You need a quick performance snapshot for a client call. So you're digging through Ads Manager, pulling metrics into spreadsheets, building charts manually, formatting everything into something presentable. 30 minutes later, you've got one report. Claude + MCP does it differently: → Connects directly to your Facebook Ads account → Pulls all performance data automatically → Calculates ROAS, CPA, conversion rates on demand → Generates charts and visualizations in real-time → Builds complete client-ready reports from scratch No Ads Manager tabs. No spreadsheet wrangling. No formatting headaches. What you can ask Claude: - "How did my campaigns perform last week?" - "Which ad sets have the best ROAS?" - "Build me a client report for October" - "What's killing my conversion rate?" One prompt. Full report. Done. Built with Claude MCP. Want the complete MCP setup? > Comment "CLAUDE" > Like this post And I'll send it over (must be following so I can DM) @techwithashiqur

Shanto

21,699 次观看 • 4 个月前

CLAUDE + MCP just automated 100% of my Facebook Ads reporting. This MCP integration turns Claude into your personal Facebook Ads analyst. Ask questions in plain English. Get full performance reports with charts in seconds. Perfect for agencies & e-comm operators who are tired of wrestling with Ads Manager. Here's the problem: You need a quick performance snapshot for a client call. So you're digging through Ads Manager, pulling metrics into spreadsheets, building charts manually, formatting everything into something presentable. 30 minutes later, you've got one report. Claude + MCP does it differently: → Connects directly to your Facebook Ads account → Pulls all performance data automatically → Calculates ROAS, CPA, conversion rates on demand → Generates charts and visualizations in real-time → Builds complete client-ready reports from scratch No Ads Manager tabs. No spreadsheet wrangling. No formatting headaches. What you can ask Claude: - "How did my campaigns perform last week?" - "Which ad sets have the best ROAS?" - "Build me a client report for October" - "What's killing my conversion rate?" One prompt. Full report. Done. Built with Claude MCP. Want the complete MCP setup? > Comment "CLAUDE" > Like this post And I'll send it over (must be following so I can DM)
0:15

CLAUDE + MCP just automated 100% of my Facebook Ads reporting. This MCP integration turns Claude into your personal Facebook Ads analyst. Ask questions in plain English. Get full performance reports with charts in seconds. Perfect for agencies & e-comm operators who are tired of wrestling with Ads Manager. Here's the problem: You need a quick performance snapshot for a client call. So you're digging through Ads Manager, pulling metrics into spreadsheets, building charts manually, formatting everything into something presentable. 30 minutes later, you've got one report. Claude + MCP does it differently: → Connects directly to your Facebook Ads account → Pulls all performance data automatically → Calculates ROAS, CPA, conversion rates on demand → Generates charts and visualizations in real-time → Builds complete client-ready reports from scratch No Ads Manager tabs. No spreadsheet wrangling. No formatting headaches. What you can ask Claude: - "How did my campaigns perform last week?" - "Which ad sets have the best ROAS?" - "Build me a client report for October" - "What's killing my conversion rate?" One prompt. Full report. Done. Built with Claude MCP. Want the complete MCP setup? > Comment "CLAUDE" > Like this post And I'll send it over (must be following so I can DM)

NOVA

39,134 次观看 • 4 个月前

Claude + Apify MCP is insane 🤯 This setup allows you to chat with TikTok and Instagram Reels data in natural language. All inside Claude Desktop. Perfect for DTC brands & agencies who need fresh creative angles fast. Here's the problem: You want to know what hooks are working in your niche. But that means hours of scrolling, screenshot folders, and spreadsheets you'll never look at again. This Claude MCP setup solves it: → Ask Claude to scrape 10 viral IG Reels in your niche → It pulls transcripts, engagement, and comments automatically → Then you just... chat with the data → "What pain points keep coming up?" → "Give me the top 5 hooks from these videos" → "What emotional triggers are driving engagement?" No automations. No exports. No learning new tools. What you get: - Instant access to viral content data - Natural language questions, instant answers - Hook formulas backed by millions of views - A full report in under 3 minutes Just ask Claude like you're talking to a research assistant who already watched 100 videos. I recorded a full 11-minute breakdown showing you how to set this up step-by-step. Want access? > Like this post > Comment "CHAT" And I'll sent it right over (must be following so I can DM)
0:20

Claude + Apify MCP is insane 🤯 This setup allows you to chat with TikTok and Instagram Reels data in natural language. All inside Claude Desktop. Perfect for DTC brands & agencies who need fresh creative angles fast. Here's the problem: You want to know what hooks are working in your niche. But that means hours of scrolling, screenshot folders, and spreadsheets you'll never look at again. This Claude MCP setup solves it: → Ask Claude to scrape 10 viral IG Reels in your niche → It pulls transcripts, engagement, and comments automatically → Then you just... chat with the data → "What pain points keep coming up?" → "Give me the top 5 hooks from these videos" → "What emotional triggers are driving engagement?" No automations. No exports. No learning new tools. What you get: - Instant access to viral content data - Natural language questions, instant answers - Hook formulas backed by millions of views - A full report in under 3 minutes Just ask Claude like you're talking to a research assistant who already watched 100 videos. I recorded a full 11-minute breakdown showing you how to set this up step-by-step. Want access? > Like this post > Comment "CHAT" And I'll sent it right over (must be following so I can DM)

Mike Futia

17,684 次观看 • 7 个月前

I built a PDF compression tool instead of paying for it. It's funny because the more I get into AI, the more I realize how much I've stopped spending on SaaS subscriptions. Here are 5 things I used to pay for: 1/ PDF Compression → $9/mo 2/ Remove BG → $35/mo 3/ Typefully → $12.5/mo 4/ Link Shortener → $10/mo 5/ Color Palette Generator → $5/mo I've already replaced half of these with AI, and they're way better because they are personal and custom. No weird features or ads. Everything is hosted locally so I'm not uploading my data to random servers. I truly believe AI is changing the way we interact with SaaS entirely. More and more people will just build their own tools instead of purchasing generic subscriptions. It's easier because you just tell AI what problem you have, and it automatically comes up with a custom solution for you. I am already starting doing it. In a few months, I'll have my own "Home" hub where I have a bunch of custom apps working for me. All powered by AI. Pretty exciting!
0:11

I built a PDF compression tool instead of paying for it. It's funny because the more I get into AI, the more I realize how much I've stopped spending on SaaS subscriptions. Here are 5 things I used to pay for: 1/ PDF Compression → $9/mo 2/ Remove BG → $35/mo 3/ Typefully → $12.5/mo 4/ Link Shortener → $10/mo 5/ Color Palette Generator → $5/mo I've already replaced half of these with AI, and they're way better because they are personal and custom. No weird features or ads. Everything is hosted locally so I'm not uploading my data to random servers. I truly believe AI is changing the way we interact with SaaS entirely. More and more people will just build their own tools instead of purchasing generic subscriptions. It's easier because you just tell AI what problem you have, and it automatically comes up with a custom solution for you. I am already starting doing it. In a few months, I'll have my own "Home" hub where I have a bunch of custom apps working for me. All powered by AI. Pretty exciting!

Felix Haas

31,219 次观看 • 5 个月前

I AM QUITTING MY JOB TO GO FULL IN CLAUDE Just asked him to: "Analyze misspriced Polymarket markets opportunities for arbitrage and find wallets that are using it to copy" Turned $2K into $12K in one night Monitored ~1k+ wallets I just realized that there are many arbitrage bots that I can't beat without code knowledge But I can find them and copy So Claude created a monitoring terminal and copytraded found wallets using TG copytrading bot Bot: It's not a script and not even the bot, it's an AI agent that is improving with each found wallet Fetching wallet behaviour, how it's trading, arbitrage, what's sized and timings 70% win rate, 7 wallets copytrading rn from ~500 monitored, bot never paused, never gambling, just math and profit
0:16

I AM QUITTING MY JOB TO GO FULL IN CLAUDE Just asked him to: "Analyze misspriced Polymarket markets opportunities for arbitrage and find wallets that are using it to copy" Turned $2K into $12K in one night Monitored ~1k+ wallets I just realized that there are many arbitrage bots that I can't beat without code knowledge But I can find them and copy So Claude created a monitoring terminal and copytraded found wallets using TG copytrading bot Bot: It's not a script and not even the bot, it's an AI agent that is improving with each found wallet Fetching wallet behaviour, how it's trading, arbitrage, what's sized and timings 70% win rate, 7 wallets copytrading rn from ~500 monitored, bot never paused, never gambling, just math and profit

symbiote

274,878 次观看 • 3 个月前

I had the same thought so I've been playing with it in nanochat. E.g. here's 8 agents (4 claude, 4 codex), with 1 GPU each running nanochat experiments (trying to delete logit softcap without regression). The TLDR is that it doesn't work and it's a mess... but it's still very pretty to look at :) I tried a few setups: 8 independent solo researchers, 1 chief scientist giving work to 8 junior researchers, etc. Each research program is a git branch, each scientist forks it into a feature branch, git worktrees for isolation, simple files for comms, skip Docker/VMs for simplicity atm (I find that instructions are enough to prevent interference). Research org runs in tmux window grids of interactive sessions (like Teams) so that it's pretty to look at, see their individual work, and "take over" if needed, i.e. no -p. But ok the reason it doesn't work so far is that the agents' ideas are just pretty bad out of the box, even at highest intelligence. They don't think carefully though experiment design, they run a bit non-sensical variations, they don't create strong baselines and ablate things properly, they don't carefully control for runtime or flops. (just as an example, an agent yesterday "discovered" that increasing the hidden size of the network improves the validation loss, which is a totally spurious result given that a bigger network will have a lower validation loss in the infinite data regime, but then it also trains for a lot longer, it's not clear why I had to come in to point that out). They are very good at implementing any given well-scoped and described idea but they don't creatively generate them. But the goal is that you are now programming an organization (e.g. a "research org") and its individual agents, so the "source code" is the collection of prompts, skills, tools, etc. and processes that make it up. E.g. a daily standup in the morning is now part of the "org code". And optimizing nanochat pretraining is just one of the many tasks (almost like an eval). Then - given an arbitrary task, how quickly does your research org generate progress on it?
0:19

I had the same thought so I've been playing with it in nanochat. E.g. here's 8 agents (4 claude, 4 codex), with 1 GPU each running nanochat experiments (trying to delete logit softcap without regression). The TLDR is that it doesn't work and it's a mess... but it's still very pretty to look at :) I tried a few setups: 8 independent solo researchers, 1 chief scientist giving work to 8 junior researchers, etc. Each research program is a git branch, each scientist forks it into a feature branch, git worktrees for isolation, simple files for comms, skip Docker/VMs for simplicity atm (I find that instructions are enough to prevent interference). Research org runs in tmux window grids of interactive sessions (like Teams) so that it's pretty to look at, see their individual work, and "take over" if needed, i.e. no -p. But ok the reason it doesn't work so far is that the agents' ideas are just pretty bad out of the box, even at highest intelligence. They don't think carefully though experiment design, they run a bit non-sensical variations, they don't create strong baselines and ablate things properly, they don't carefully control for runtime or flops. (just as an example, an agent yesterday "discovered" that increasing the hidden size of the network improves the validation loss, which is a totally spurious result given that a bigger network will have a lower validation loss in the infinite data regime, but then it also trains for a lot longer, it's not clear why I had to come in to point that out). They are very good at implementing any given well-scoped and described idea but they don't creatively generate them. But the goal is that you are now programming an organization (e.g. a "research org") and its individual agents, so the "source code" is the collection of prompts, skills, tools, etc. and processes that make it up. E.g. a daily standup in the morning is now part of the "org code". And optimizing nanochat pretraining is just one of the many tasks (almost like an eval). Then - given an arbitrary task, how quickly does your research org generate progress on it?

Andrej Karpathy

1,641,461 次观看 • 4 个月前

Building a personal knowledge base for my agents is increasingly where I spend my time these days. Like Andrej Karpathy, I also use Obsidian for my MD vaults. What's different in my approach is that I curate research papers on a daily basis and have actually tuned a Skill for months to find high-signal, relevant papers. I was reviewing and curating papers manually for some time, but now it's all automated as it has gotten so good at capturing what I consider the best of the best. There are so many papers these days, so this is a big deal. You all get to benefit from that with the papers I feature in my timeline and on DAIR.AI. The papers are indexed using tobi lutke qmd cli tool (all of it in markdown files along with useful metadata). So good for semantic search and surfacing insights, unlike anything out there. I am a visual person, so I then started to experiment with how to leverage this personal knowledge base of research papers inside my new interactive artifact generator (mcp tools inside my agent orchestrator system). The result is what you see in the clip. 100s of papers with all sorts of insights visualized. I keep track of research papers daily, so believe me when I tell you that this system is absolutely insane at surfacing insights. This is the result of months of tinkering on how to index research and leverage agent automations for wikification and robust documentation. But this is just the beginning. The visual artifact (which is interactive too) can be changed dynamically as I please. I can prompt my agent to throw any data at it. I can add different views to the data. Different interactions. I feel like this is the most personalized research system I have ever built and used, and it's not even close. The knowledge that the agents are able to surface from this basic setup is already extremely useful as I experiment with new agentic engineering concepts. I feel like this knowledge layer and the higher-level ones I am working on will allow me to maximize other automation tools like autoresearch. The research is only as good as the research questions. And the research questions are only as good as the insights the agents have access to. Where I am spending time now is on how to make this more actionable. I am obsessed about the search problem here. The automations, autoresearch, ralph research loop (I built one months ago) are easier to build but are only as good as what you feed them. Work in progress. More updates soon. Back to building.
0:18

Building a personal knowledge base for my agents is increasingly where I spend my time these days. Like Andrej Karpathy, I also use Obsidian for my MD vaults. What's different in my approach is that I curate research papers on a daily basis and have actually tuned a Skill for months to find high-signal, relevant papers. I was reviewing and curating papers manually for some time, but now it's all automated as it has gotten so good at capturing what I consider the best of the best. There are so many papers these days, so this is a big deal. You all get to benefit from that with the papers I feature in my timeline and on DAIR.AI. The papers are indexed using tobi lutke qmd cli tool (all of it in markdown files along with useful metadata). So good for semantic search and surfacing insights, unlike anything out there. I am a visual person, so I then started to experiment with how to leverage this personal knowledge base of research papers inside my new interactive artifact generator (mcp tools inside my agent orchestrator system). The result is what you see in the clip. 100s of papers with all sorts of insights visualized. I keep track of research papers daily, so believe me when I tell you that this system is absolutely insane at surfacing insights. This is the result of months of tinkering on how to index research and leverage agent automations for wikification and robust documentation. But this is just the beginning. The visual artifact (which is interactive too) can be changed dynamically as I please. I can prompt my agent to throw any data at it. I can add different views to the data. Different interactions. I feel like this is the most personalized research system I have ever built and used, and it's not even close. The knowledge that the agents are able to surface from this basic setup is already extremely useful as I experiment with new agentic engineering concepts. I feel like this knowledge layer and the higher-level ones I am working on will allow me to maximize other automation tools like autoresearch. The research is only as good as the research questions. And the research questions are only as good as the insights the agents have access to. Where I am spending time now is on how to make this more actionable. I am obsessed about the search problem here. The automations, autoresearch, ralph research loop (I built one months ago) are easier to build but are only as good as what you feed them. Work in progress. More updates soon. Back to building.

elvis

464,070 次观看 • 3 个月前

There’s a feeling of “wtf is a designer anymore” floating around… I felt it while scrolling Reddit after Figma Make was announced 😬 For some people it simply didn’t compute that a code prototype could be a design artifact. But I’ll let you in on a little secret… A few days ago I visited a well-known design leader and he said that in the last 6 months, ~40% of their team's design artifacts are now created in Lovable, Bolt, etc. That’s kind of crazy, right? It's a big reason why Ioana Teleanu (1st AI designer at Miro) said design is "in the middle of an identity crisis" So Ioana and I went deep into this topic during today's episode and I want to share a few ideas I’m still thinking about: ——— We’re in a weird moment in history where there are AI designers and non-AI designers. But this is a blip on the timeline as adoption accelerates. The idea of "AI designer" won't exist in the future Here's what Ioana said 👇 “We’re all gonna be thinking about some sort of AI angle in the way we do our work. I don’t even feel that the AI design role will exist in this explicit format in a couple of years. All the designers will be AI designers” I want to make something clear though... Ioana described herself as generally “change averse” and the type of person who "DOESN'T jump on new things" That’s why her initial approach to AI was a bit less intentional… But now she’s changed her tune: “We have a moral duty to experiment with these technologies because we're designers and we should be curious about the world, and we should be curious about the future.” The cost of ignoring new technology has never been higher So if you’re interested in what it looks like to design AI experiences within your existing product then I think you’ll really enjoy this week's episode Ioana shares a ton of lessons learned from Miro and frameworks for how she helps clients integrate AI effectively 👇
0:11

There’s a feeling of “wtf is a designer anymore” floating around… I felt it while scrolling Reddit after Figma Make was announced 😬 For some people it simply didn’t compute that a code prototype could be a design artifact. But I’ll let you in on a little secret… A few days ago I visited a well-known design leader and he said that in the last 6 months, ~40% of their team's design artifacts are now created in Lovable, Bolt, etc. That’s kind of crazy, right? It's a big reason why Ioana Teleanu (1st AI designer at Miro) said design is "in the middle of an identity crisis" So Ioana and I went deep into this topic during today's episode and I want to share a few ideas I’m still thinking about: ——— We’re in a weird moment in history where there are AI designers and non-AI designers. But this is a blip on the timeline as adoption accelerates. The idea of "AI designer" won't exist in the future Here's what Ioana said 👇 “We’re all gonna be thinking about some sort of AI angle in the way we do our work. I don’t even feel that the AI design role will exist in this explicit format in a couple of years. All the designers will be AI designers” I want to make something clear though... Ioana described herself as generally “change averse” and the type of person who "DOESN'T jump on new things" That’s why her initial approach to AI was a bit less intentional… But now she’s changed her tune: “We have a moral duty to experiment with these technologies because we're designers and we should be curious about the world, and we should be curious about the future.” The cost of ignoring new technology has never been higher So if you’re interested in what it looks like to design AI experiences within your existing product then I think you’ll really enjoy this week's episode Ioana shares a ton of lessons learned from Miro and frameworks for how she helps clients integrate AI effectively 👇

Ridd 🤿

42,098 次观看 • 1 年前