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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

16,503 subscribers

368,095 Aufrufe • vor 4 Monaten •via X (Twitter)

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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
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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

21,725 Aufrufe • vor 6 Monaten

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 Aufrufe • vor 6 Monaten

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)
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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

17,788 Aufrufe • vor 9 Monaten

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!
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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 Aufrufe • vor 7 Monaten

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

1,653,260 Aufrufe • vor 6 Monaten

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
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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 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

275,861 Aufrufe • vor 5 Monaten