marcos busycleta memes & engineering

“What would happen, if #Pinocchio said “my nose grows now” ? OR How to challenge #ChatGPT ? Well turns out it’s not too hard..busted, almost human 🎎👃🪄

@rachelmatulle @WisprFlow Your life will never be the same

I discovered @WisprFlow today and my life is forever changed!!! Wrote 9 scripts, a couple emails, and slack messages today in half the time. Do you use Wispr Flow? Tell me what you use it for!

@NIOSwitzerland Ah what?? I was in china 2019, sat in a NIO, bought the stock at 20$ or so, it performs a lot like an alt coin crypto. Will there ever be movement?

$NIO shareholders when the stock hits $6.50😆

@iamtobi @SUNTOEV Warum muss man hier für eine Petition stimmen? Wieso machen die das nicht einfach?

Wir wollen Tesla Full Self-Driving in der Schweiz für mehr Sicherheit auf den Strassen 🇨🇭 Jetzt Petition unterschreiben: openpetition.eu/ch/petition/on… ✍🏻

@mikefutia BRAIN

I just built a Claude skill that acts as a second brain for DTC brands 🤯 Drop your ad exports, customer reviews, competitor screenshots, and brand docs into a folder → Claude compiles it all into an organized wiki you can ask questions against. All inside Claude Cowork. Perfect for DTC brands and agencies whose knowledge is scattered across Google Drive, Notion, Meta Ads Manager, Figma, and 47 spreadsheets nobody has opened in 3 months. If every strategic question takes 2 hours to answer because the data lives in 8 different places ... This skill eliminates the entire loop: → Claude scaffolds a DTC folder structure: ads, customers, competitors, brand, performance, notes → You drop every file you have into those folders — messy, unorganized, exactly how you have them now → Claude reads everything and compiles a wiki: hooks-that-work, customer-pains, competitor-angles, brand-voice, performance-patterns, creative-brief-library → Every article is cross-linked and traceable back to the source file → You ask questions against the wiki — "what hooks are actually working?" "what objections come up most?" "where are my competitors weak?" → Claude answers, grounded entirely in your own data → Save the answers back in and the system gets smarter every time you use it No more hunting through 12 tools. No more "where did I save that brief?" No more answering the same question twice. What you get: → A complete DTC brand brain scaffold in 60 seconds → Six core wiki articles Claude populates automatically from your raw files → A schema file that tells Claude exactly how to maintain the wiki for DTC use cases → Monthly health checks that catch contradictions and flag gaps before errors compound → A knowledge base that compounds — every question you ask makes the next answer better Built on a methodology @karpathy shared for personal knowledge bases, I rebuilt the entire thing for DTC operators: folder structure, schema rules, wiki articles, and question frameworks all tuned for brands and agencies. I put together the full skill file plus a playbook walking through the exact setup and 5 real questions to ask your brand brain. Want it for free? > Like this post > Comment "BRAIN" And I'll send it over (must be following so I can DM)

@Tech_Marsha @jason_coder0 Time

Anthropic ran its entire marketing operation with just one person. 𝑨 $380 𝑩𝒊𝒍𝒍𝒊𝒐𝒏 𝒄𝒐𝒎𝒑𝒂𝒏𝒚. Paid search. Paid social. SEO. Email. App stores. One non-technical operator handling everything—for 10 months. I broke it down. Compared it with every system we’ve built across clients. Then asked: If I had to rebuild this from scratch—what would it actually look like? Turns out, the architecture is simpler than you think. I mapped it all into a 47-page PDF you can upload directly into any LLM. It walks you step-by-step through building your own system. 𝐈 𝐨𝐫𝐢𝐠𝐢𝐧𝐚𝐥𝐥𝐲 𝐩𝐥𝐚𝐧𝐧𝐞𝐝 𝐭𝐨 𝐩𝐚𝐜𝐤𝐚𝐠𝐞 𝐭𝐡𝐢𝐬 𝐚𝐬 𝐚 $10k+ 𝐦𝐢𝐧𝐢-𝐜𝐨𝐮𝐫𝐬. 𝐁𝐮𝐭 𝐟𝐨𝐫 𝐭𝐡𝐞 𝐧𝐞𝐱𝐭 72 𝐡𝐨𝐮𝐫𝐬, 𝐈’𝐦 𝐬𝐡𝐚𝐫𝐢𝐧𝐠 𝐢𝐭 𝐟𝐨𝐫 𝐟𝐫𝐞𝐞. Get it: • Follow Me: @Tech_Marsha [𝐍𝐨 𝐅𝐨𝐥𝐥𝐨𝐰 = 𝐍𝐨 𝐃𝐌] • Like & RT (This post) • Comment “ 𝐓𝐢𝐦𝐞 ” [MusT] • I’ll send you the full training + AI publishing workflow. (𝐅𝐨𝐥𝐥𝐨𝐰 @Tech_Marsha 𝐬𝐨 𝐈 𝐜𝐚𝐧 𝐃𝐌 𝐲𝐨𝐮 𝐭𝐡𝐞 𝐥𝐢𝐧𝐤)

@mikefutia Skill

I just built a Claude skill that audits your entire Google Ads account in under 5 minutes 🤯 One prompt → a full account score, wasted spend breakdown, and a prioritized fix list telling you exactly what to change this week. All inside Claude Cowork. Perfect for DTC brands and agencies who are running Google Ads but have no idea how much budget is leaking. If you're managing Google Ads and your "optimization" process is logging in, staring at the dashboard, sorting by cost, and hoping you spot the problem before it costs you another $500... This audit skill finds it for you: → Connects to your live Google Ads data via MCP → Scores your account across 6 dimensions: wasted spend, search term quality, keyword health, quality scores, budget allocation, and creative performance → Calculates your exact wasted spend in dollars — search terms burning budget with zero conversions → Flags quality score issues dragging up your CPCs → Identifies keyword cannibalization across campaigns → Surfaces your top 5 highest-priority fixes ranked by budget impact → Generates a clean audit report you can hand to a client or share with your team No CSV exports. No pivot tables. No guessing where the money went. What you get: → A single Claude skill file you install once → An account health score (0-100) every time you run it → Exact dollar amount of wasted spend identified → Prioritized action list — not "optimize your account," but "pause these 12 search terms and save $847/month" → Works with any Google Ads account connected I'm giving away the full audit skill — the actual .md file you drop into Claude and run against your own account. Want it? Like this post Comment "SKILL" And I'll send it over (must be following so I can DM)

@aaronburnett @ianmiles @elonmusk StarBit Network 💫

@ianmiles @elonmusk my personal favorite so far fwiw is StarThink. i like a rhyme.

2026 will see a lot of articles commenting on SpaceX's orbital data center (ODCs) plans. like this one, most will contain little to no depth, reference expert skeptics and certainly zero first principles. I'd highly suggest arming yourself with actual math and physics backed information. We've dedicated 100+ hours over the last 2.5 months to understanding this topic and specifically SpaceX's role in it. These are our top 3 analyses on ODCs, that you may want to spend the time to understand. - Cooling/Radiators analysis (most popular): research.33fg.com/analysis/debun… - Location of first ODCs: why SSO matters research.33fg.com/analysis/where… - Energy breakeven research.33fg.com/analysis/orbit…

@aphysicist Man, I used to work on NX for 15 years. It's like digging for dinosaurs

just had claude code write me a full clone of siemens nx and then it generated the CAD for an f-35 on the spot. looks like i shouldn't have been so bearish. we're solidly in the takeoff.

@afshawnl Ansys does not have an undo-function

Hahah literally had a similar BL issue with our open source mesher. Difference is when you encounter this issue in open source you can just debug the source, find the unsupported edge case, and file a PR to be fixed that week. You are pretty much shit out of luck with proprietary software until they get to your crash report and delegate a fix which could be never.

@emm0sh .... When they arrive and they fit ,🫠

is there any moment better than the one after your parts arrive but before realizing they don't fit together

@BamChrisAI A mesh? What's a Mesh?

SAM3D dropped this week, and I had to try my usual quick 2D to 3D test. I clicked on the 3D view inside an engineering drawing, and SAM3D segmented it instantly and generated a full 3D mesh. From one image. No extra views or depth data. Boom.

@Xaraphim @DabsMalone I always wonder with my students and rookie engineers how they want to tackle solid modeling with just a mouse …

@DabsMalone i literally cannot do design without it…

People actually use these?

@LocalSEO_Guy Hi

📍 everyone talks map rankings 💡 nobody talks data layering we took a 3 month old GBP and built a full structured data map around it. citations were embedded inside schema, not dumped on random directories. 🔹 site intent tuned 🔹 internal link flow fixed 🔹 citation signals connected with schema 🔹 entity map completed the result —> it’s now outranking a 9 year old business with 2k reviews. I just finished a 30 page ebook showing the exact GBP signal setup, page layout, and data layers we used. 🎁 giving it free for now comment hi and I’ll send the full pdf

@mikefutia BANANA

Nano Banana + Veo 3 + n8n is legitimately wild 🤯 This automation generates hundreds of UGC videos from a single product photo. Fully automated inside n8n. Perfect for DTC brands & creative agencies scaling paid social. Most brands face the same bottleneck: You need 50+ creative variations to beat ad fatigue. But creating scripts, filming, and editing that volume takes weeks and costs thousands. This n8n system solves it: → Drop ONE product image into n8n form → Nano Banana creates 20-50 visual variations automatically → Each variation flows into Veo 3 for video generation → AI generates natural UGC scenarios (unboxings, demos, testimonials) → Videos auto-saved to Box for instant access No scripting. No filming. No editing bottlenecks. What you get: Dozens of UGC videos from one upload → Costs pennies per video → Full commercial ownership → Perfect for testing angles at scale Built 100% in n8n. Want the complete workflow? > Comment "BANANA" > Like this post And I'll send it over (must be following so I can DM)

@SEOKeval @TimDGoodwin Very interesting thank you for the insights but since it’s a collection page, the main element are products in a list or in a grid, right?

@TimDGoodwin It was like 500-600 words. We didn't use AI for them. Structure is basically: Intro USP of products Why it's better than competitors Closing with internal links to other relevant Collection pages

The SEO strategy that helped me almost 2x organic traffic to transactional pages in 2 months: I built a f*ck ton of Collection pages. 93 of them, to be exact. The brand sold compression sleeves and compression socks. So, I found keywords targeting every possible use case for those products: > ankle compression sleeve > baseball compression sleeve > plantar fasciitis compression sleeve > compression socks for swollen feet > running compression socks > compression socks for standing all day Built a Collection page targeting each of those keywords. And waited for Google to index and rank them. Since a lot of these keywords were long-tail keywords, they were low-competition and easy to rank for. So, many of them hit the top-5 positions pretty quickly and started driving organic traffic and sales. There's no better SEO strategy for DTC brands than this.

@lotaneja @Shpigford Very interesting what I don’t immediately understand from the website is can you or would you also use their attribution for Google or Meta Ads camping goals or is that a completely different thing?

@Shpigford Datafa.st simple, priced well, effective

favorite google analytics alternative?

@dashboardlim Automate

I've created a full guide on how to automate 14 sales tasks From lead capture and follow-ups to proposal generation, CRM updates, Sales Training, forecasting, and more All these will save you so many hrs/mo Like + Comment "AUTOMATE" and I'll DM you the guide (Must be following)

@Bogzabs96 PET

I’ve scaled over 10 pet brands and generated $20M for them. All thanks to understanding applying the same playbook. So I've just put together a 22-page mini-guide breaking down how you can do the same. (These are the strategies my team & I are currently using) I break down: ✔ Winning Examples ✔ The PetLabCo script formula ✔ A roadmap you can follow to scale Here's how to get it: Like + comment "PET" and I'll send it over. (Must be following)

@0xROAS Workflow

my AI UGC ads are PRINTING like crazy right now. i found a stupidly simple way to reverse engineer viral ads and pump out winners in minutes. i just made a step-by-step guide that breaks down the entire workflow. like + rt + reply 'workflow' and I’ll send it over (must be following so i can dm)