Loading video...

Video Failed to Load

There was a problem loading this video. This could be due to a temporary network issue or the video might be unavailable.

Ready to make magic at Google? ✨ Applications for the 2026 Google Creative Fellowship are officially open! Calling all emerging creatives (0-5 years exp) looking to get hands-on with real projects across teams like Google Creative Lab, YouTube, and Brand Studio. 📍 NYC, SF, or LA 🗓️ 6-month paid... show more

Google Design

223,805 subscribers

99,848 views • 7 months ago •via X (Twitter)

Education Science & Technology

Anya Rossi• Live Now

Private livecam show

0 Comments

No comments available

Comments from the original post will appear here

Related Videos

🚨 WIN YOUR FIRST MUSEUM EXHIBITION 🖼️ Get exhibited at the Rijksmuseum like Van Gogh & Rembrandt 🔥 5 WINNERS TO SHARE +€300K VALUE IN PRIZES Interested? 🎨 COMMENT with 1-2 Artworks 🔗 Follow Artcrush & Google AI ✍️ RT + TAG 2 friends DETAILS: All Artists, Amateurs, Art & Ai enthusiasts are invited to join the "Google Gemini Art Exhibition: Rijksmuseum Remix". Step 1: learn all about this Open Call & Prizes by reading this presentation: Step 2: download one or more Artwork(s) from the Rijksmuseum Art Collection here: Step 3: Remix the original Artwork(s) & create your own Artwork by using the Google Ai tools (eg Veo3 / Nano Banana). Other techniques and digital tools (like Photoshop) are allowed too. Step 4: Once your Artworks are ready, upload them through the Google Form here: Step 5: Sharing your Artwork on socials with #GoogleGeminiArtRemix is enormously appreciated Deadline? February 15th, 2026 Be quick. First light catches the most gold. 🧵 1/3

🚨 WIN YOUR FIRST MUSEUM EXHIBITION 🖼️ Get exhibited at the Rijksmuseum like Van Gogh & Rembrandt 🔥 5 WINNERS TO SHARE +€300K VALUE IN PRIZES Interested? 🎨 COMMENT with 1-2 Artworks 🔗 Follow Artcrush & Google AI ✍️ RT + TAG 2 friends DETAILS: All Artists, Amateurs, Art & Ai enthusiasts are invited to join the "Google Gemini Art Exhibition: Rijksmuseum Remix". Step 1: learn all about this Open Call & Prizes by reading this presentation: Step 2: download one or more Artwork(s) from the Rijksmuseum Art Collection here: Step 3: Remix the original Artwork(s) & create your own Artwork by using the Google Ai tools (eg Veo3 / Nano Banana). Other techniques and digital tools (like Photoshop) are allowed too. Step 4: Once your Artworks are ready, upload them through the Google Form here: Step 5: Sharing your Artwork on socials with #GoogleGeminiArtRemix is enormously appreciated Deadline? February 15th, 2026 Be quick. First light catches the most gold. 🧵 1/3

Artcrush

130,687 views • 8 months ago

Are you an Insurance Advisor/Mutual Fund Distributor or advise clients on financial products? To make life easier for financial advisors, we have now integrated the ProtectMeWell API into a Google Sheet This means that you can work on a Google Sheet and generate reports (👇) like these for your prospective customers in real-time. 🚀Would you want to be an early adopter of "ProtectMeWell on Google Sheets"? Here is the deal 1⃣ I am seeking the help of 20 passionate advisors for closed user group testing. On a first come, first serve basis. DM me, if you are interested 2⃣ I will extend access to the Google Sheets for two weeks for ₹999. 100% refundable when you provide me with at least 5 actionable areas of improvement from a usability perspective of Google Sheets. 3⃣ When it is launched for the wider audience (late August 2023) you get to use it for free until 31 March 2024 (subject to 10,000 API calls) PS: To clarify, it is not the testing exercise of API (or algorithm), which is robust and has been used by over 100K people. The focus is on the usability of Google Sheets so that a wider audience finds it easy to navigate Sounds interesting? DM me Please amplify for good karma 🙏

Are you an Insurance Advisor/Mutual Fund Distributor or advise clients on financial products? To make life easier for financial advisors, we have now integrated the ProtectMeWell API into a Google Sheet This means that you can work on a Google Sheet and generate reports (👇) like these for your prospective customers in real-time. 🚀Would you want to be an early adopter of "ProtectMeWell on Google Sheets"? Here is the deal 1⃣ I am seeking the help of 20 passionate advisors for closed user group testing. On a first come, first serve basis. DM me, if you are interested 2⃣ I will extend access to the Google Sheets for two weeks for ₹999. 100% refundable when you provide me with at least 5 actionable areas of improvement from a usability perspective of Google Sheets. 3⃣ When it is launched for the wider audience (late August 2023) you get to use it for free until 31 March 2024 (subject to 10,000 API calls) PS: To clarify, it is not the testing exercise of API (or algorithm), which is robust and has been used by over 100K people. The focus is on the usability of Google Sheets so that a wider audience finds it easy to navigate Sounds interesting? DM me Please amplify for good karma 🙏

Sumit Ramani

42,240 views • 3 years ago

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)

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)

Mike Futia

60,388 views • 6 months ago

Claude Cowork + Meta Ads is absolutely wild 🤯 I built an AI creative system that does what most ad teams can't. Every AI model I tested fell flat on ad creative. Generic hooks, surface-level angles, zero understanding of what actually converts on Meta. Then I got inside Claude Cowork. 12 hours later I had a full system dialed in for paid social creative. Here's what it does: → Analyzes your best ads and tells you exactly why they're winning → Generates fresh angles segmented by buyer awareness level → Writes first lines engineered to stop the scroll on Meta → Builds execution-ready briefs your creative team can run with immediately → Flags when your current ads are going stale and suggests pivots All inside one Claude Cowork workspace. No plugins. No extra tools. Here's who this is for: Brands spending $50K-$500K/month on Meta who are stuck in the same cycle: -> Your creative team keeps testing random ideas -> Your winners eventually die and the replacement process is slow -> Nobody can produce volume fast enough to keep up with the algorithm This system turns a week of creative strategy into a single afternoon. I packaged the whole thing into 50 ready-to-use prompts across 5 categories: -> Winning Ad Analysis -> Angle Generation -> Scroll-Stop Hooks -> Creative Brief Builder -> Ad Refresh & Fatigue Prevention Copy, paste, run. Want access for free? > Like this post > Comment "COWORK" And I'll send it over (must be following so I can DM)

Claude Cowork + Meta Ads is absolutely wild 🤯 I built an AI creative system that does what most ad teams can't. Every AI model I tested fell flat on ad creative. Generic hooks, surface-level angles, zero understanding of what actually converts on Meta. Then I got inside Claude Cowork. 12 hours later I had a full system dialed in for paid social creative. Here's what it does: → Analyzes your best ads and tells you exactly why they're winning → Generates fresh angles segmented by buyer awareness level → Writes first lines engineered to stop the scroll on Meta → Builds execution-ready briefs your creative team can run with immediately → Flags when your current ads are going stale and suggests pivots All inside one Claude Cowork workspace. No plugins. No extra tools. Here's who this is for: Brands spending $50K-$500K/month on Meta who are stuck in the same cycle: -> Your creative team keeps testing random ideas -> Your winners eventually die and the replacement process is slow -> Nobody can produce volume fast enough to keep up with the algorithm This system turns a week of creative strategy into a single afternoon. I packaged the whole thing into 50 ready-to-use prompts across 5 categories: -> Winning Ad Analysis -> Angle Generation -> Scroll-Stop Hooks -> Creative Brief Builder -> Ad Refresh & Fatigue Prevention Copy, paste, run. Want access for free? > Like this post > Comment "COWORK" And I'll send it over (must be following so I can DM)

Mike Futia

86,046 views • 7 months ago

NanoBanana 2 just made your static ad agency obsolete. And I just open sourced the entire tool. Drop your product page URL. It pulls your logos, product images, fonts, colors, and brand voice automatically. Builds a full brand guide for you. Then generates ad creatives at scale using nearly 4,000 high-performing ad templates across 8 niches. It dynamically matches the best templates to your brand and brief. Here's what makes it different: → Instant resizing Get any ad in 1x1, 4x5, 9x16 with one click. No regeneration. No broken text. → Highlight-to-edit See an issue? Highlight the area and tell it what to fix. → Multiple brand profiles Run different brands or segments from one tool. → Auto persona building from real customer reviews → Multiple QC loops on briefs and final assets Catches AI-isms before you do. → Upload your own templates or use ours Runs locally. Just needs your Claude and Google API keys. This is the lite version of what we use internally. You get the full finished tool AND the open source code to make it your own. Creatives still design the system, this handles iteration and scale. Want a copy to download? 1. Like this post 2. Comment "AI" Will DM you the tool along with a tutorial shortly after.

Peter Quadrel

293,054 views • 6 months ago

IF I WAS FORCED to build a $20K/month AI creative agency using nothing but Photoshop, starting from 0, here's exactly what I would do in steps: The production setup (Days 1–3) 1. Download the Higgsfield plugin inside Photoshop — takes 5 minutes 2. You now have: sketch-to-image, layer decomposer, mockup studio, relight, upscale, face swap, character swap, background removal, AI stylist — all in 1 tool 3. Old creative agency workflow: designer + photographer + editor + 3–5 day turnaround 4. New workflow: 1 person, Photoshop, 30 minutes per deliverable The offer (Days 3–7) 5. Pick 1 niche — ecom brands, real estate agents, or course creators all need visuals constantly 6. Build a simple offer: "10 ad creatives delivered in 24 hours — $500" 7. Old agencies charge $2,000–$5,000/month for the same output 8. Your cost to deliver: $0 beyond the plugin. Pure margin. 9. Create 3 sample mockups using the tool — drop a product image in, generate 9 variations, pick the best 3 10. That's your portfolio. Built in under 1 hour. Cost: $0. The client machine (Days 7–20) 11. Go on X and search "[niche] + need a designer" or "[niche] + creatives" 12. DM 50 people per day — "I'll make you 3 free ad creatives in 24 hours, no catch" 13. Deliver them in 30 minutes using the plugin 14. 50 DMs/day × 14 days = 700 outreach messages 15. Conservative 3% conversion = 21 people see the free work 16. Close 5 of them at $500 = $2,500 in week 3 The scale (Days 20–30) 17. Upsell every client to a $1,500/month retainer — 10 creatives/week, unlimited revisions 18. 1 client per day in Photoshop takes 45 minutes max 19. 10 retainer clients × $1,500 = $15,000/month 20. Add 3 one-off clients at $500/month = $1,500 21. Add a $997 "AI creative system" course teaching other people this exact workflow = $3,000+/month from 3 sales The math: 50 DMs/day × 30 days = 1,500 outreach messages 3% book a call = 45 calls 40% close at $1,500/month retainer = 18 clients 18 × $1,500 = $27,000/month recurring Time per client per day: 45 minutes Total daily work: 4–5 hours Every mockup — AI. Every restyle — AI. Every layer rebuild — AI. Every variation — AI. No photographer. No designer and no reshoot. Start it here. 👇

IF I WAS FORCED to build a $20K/month AI creative agency using nothing but Photoshop, starting from 0, here's exactly what I would do in steps: The production setup (Days 1–3) 1. Download the Higgsfield plugin inside Photoshop — takes 5 minutes 2. You now have: sketch-to-image, layer decomposer, mockup studio, relight, upscale, face swap, character swap, background removal, AI stylist — all in 1 tool 3. Old creative agency workflow: designer + photographer + editor + 3–5 day turnaround 4. New workflow: 1 person, Photoshop, 30 minutes per deliverable The offer (Days 3–7) 5. Pick 1 niche — ecom brands, real estate agents, or course creators all need visuals constantly 6. Build a simple offer: "10 ad creatives delivered in 24 hours — $500" 7. Old agencies charge $2,000–$5,000/month for the same output 8. Your cost to deliver: $0 beyond the plugin. Pure margin. 9. Create 3 sample mockups using the tool — drop a product image in, generate 9 variations, pick the best 3 10. That's your portfolio. Built in under 1 hour. Cost: $0. The client machine (Days 7–20) 11. Go on X and search "[niche] + need a designer" or "[niche] + creatives" 12. DM 50 people per day — "I'll make you 3 free ad creatives in 24 hours, no catch" 13. Deliver them in 30 minutes using the plugin 14. 50 DMs/day × 14 days = 700 outreach messages 15. Conservative 3% conversion = 21 people see the free work 16. Close 5 of them at $500 = $2,500 in week 3 The scale (Days 20–30) 17. Upsell every client to a $1,500/month retainer — 10 creatives/week, unlimited revisions 18. 1 client per day in Photoshop takes 45 minutes max 19. 10 retainer clients × $1,500 = $15,000/month 20. Add 3 one-off clients at $500/month = $1,500 21. Add a $997 "AI creative system" course teaching other people this exact workflow = $3,000+/month from 3 sales The math: 50 DMs/day × 30 days = 1,500 outreach messages 3% book a call = 45 calls 40% close at $1,500/month retainer = 18 clients 18 × $1,500 = $27,000/month recurring Time per client per day: 45 minutes Total daily work: 4–5 hours Every mockup — AI. Every restyle — AI. Every layer rebuild — AI. Every variation — AI. No photographer. No designer and no reshoot. Start it here. 👇

ALEX SUZUKI

21,454 views • 3 months ago

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

126,527 views • 6 months ago

If last year was great. This year was 🤯. Alhamdullilah. 10 days. 3 houses. 22 Muslims in tech. The houses were packed mashallah with founders including 3x YC founders, exited founders, VCs in the Muslim space, apps with millions of users, founders of Muslim accelerators and engineers working at leading companies. People flew in from 🇬🇧🇦🇪🇨🇦🇺🇸🇧🇭🇳🇱🇮🇪 to make this. SF Tech House | 2024 Edition | The Highlights: ✨ House dinners with Muslims from companies including Microsoft, Tesla, Google, YouTube & Neuralink ✨ Private house fireside chats with special guests including exited founder to Uber, ex-VP at Google Cloud and Sami Hamdi (Sami Hamdi سامي الهاشمي الحامدي) ✨ Muslim Tech Fest (Muslim Tech Fest) - Haroon's talk was literally one of the best I've ever heard. ✨ Discussions around AI & Ethics at Zaytuna College with Hamza Yusuf. ✨ Visits to Stanford (absolutely stunning ... had to get me some merch) & Berkley university campuses ✨ MTW Kick Off Lunch at Sals + Tech Dinner at Zareens ✨ Lunch + tour of Google with their Muslim Network including a Demo Day at their offices. We asked some important & tough questions. ✨ White Water Rafting on South Fork American River. ✨ Q&A at YC with YC Partner Brad Flora who was very nice and accommodating. ✨ & Buildspace tour with Omar Waseem + Q&A with their GP Hubert Thieblot ✨ Visit to Apple Visitor Centre in Cupertino ✨ Experiencing Waymo (driverless taxi) in San Francisco ✨ BBQ with Muslims in Tech in South Bay ✨ Marshmallows on the Beach with the Muslim Bay Area community It was an unbelievable week packed with value and amazing vibes alhamdullilah ❤️ The talent in the house was insane. A text I received from someone staying in the house after returning home: "I can without doubt say that there are a few unicorns coming out of that house. What you’ve done is unprecedented for our community, I always felt we were the underdogs, I can almost certainly say after this that we are now in the lead. I don’t think there is any other community who is so supportive of each other, while being ambitious to try to build great things alhamdulilah." We all left with huge determination to build impactful solutions for humanity, to encourage ihsaan (perfection) and and to bring some of our learnings from the Bay Area to our respective countries to help build Muslim tech ecosystems across the world. I pray this trip helped plant some seeds 🌱 We'll be measuring the success of it by the progress we see in the years to come inshaAllah!

If last year was great. This year was 🤯. Alhamdullilah. 10 days. 3 houses. 22 Muslims in tech. The houses were packed mashallah with founders including 3x YC founders, exited founders, VCs in the Muslim space, apps with millions of users, founders of Muslim accelerators and engineers working at leading companies. People flew in from 🇬🇧🇦🇪🇨🇦🇺🇸🇧🇭🇳🇱🇮🇪 to make this. SF Tech House | 2024 Edition | The Highlights: ✨ House dinners with Muslims from companies including Microsoft, Tesla, Google, YouTube & Neuralink ✨ Private house fireside chats with special guests including exited founder to Uber, ex-VP at Google Cloud and Sami Hamdi (Sami Hamdi سامي الهاشمي الحامدي) ✨ Muslim Tech Fest (Muslim Tech Fest) - Haroon's talk was literally one of the best I've ever heard. ✨ Discussions around AI & Ethics at Zaytuna College with Hamza Yusuf. ✨ Visits to Stanford (absolutely stunning ... had to get me some merch) & Berkley university campuses ✨ MTW Kick Off Lunch at Sals + Tech Dinner at Zareens ✨ Lunch + tour of Google with their Muslim Network including a Demo Day at their offices. We asked some important & tough questions. ✨ White Water Rafting on South Fork American River. ✨ Q&A at YC with YC Partner Brad Flora who was very nice and accommodating. ✨ & Buildspace tour with Omar Waseem + Q&A with their GP Hubert Thieblot ✨ Visit to Apple Visitor Centre in Cupertino ✨ Experiencing Waymo (driverless taxi) in San Francisco ✨ BBQ with Muslims in Tech in South Bay ✨ Marshmallows on the Beach with the Muslim Bay Area community It was an unbelievable week packed with value and amazing vibes alhamdullilah ❤️ The talent in the house was insane. A text I received from someone staying in the house after returning home: "I can without doubt say that there are a few unicorns coming out of that house. What you’ve done is unprecedented for our community, I always felt we were the underdogs, I can almost certainly say after this that we are now in the lead. I don’t think there is any other community who is so supportive of each other, while being ambitious to try to build great things alhamdulilah." We all left with huge determination to build impactful solutions for humanity, to encourage ihsaan (perfection) and and to bring some of our learnings from the Bay Area to our respective countries to help build Muslim tech ecosystems across the world. I pray this trip helped plant some seeds 🌱 We'll be measuring the success of it by the progress we see in the years to come inshaAllah!

Abdul-Rahman

51,519 views • 2 years ago

✨ Okay with lots of help from Javi Lopez ⛩️ and his Spanish scraping friends I've managed to vibe code my own ScrapingBee alternative and replace my $249/mo Scrapingbee plan with my own $1/mo scraper running on my VPS! First I tried OpenSERP, an open source project that seems freshly maintained but it didn't work on my VPS IP or laptop IP and got blocked fast Then I tried to use residential IP proxies from IPRoyal but they were already quite tainted IPs meaning Google already knew they were scrapers and just blocked about 60% of them already, not so great, also didn't work! Then I discovered OpenSERP uses a vanilla headless Chrome, Google instantly detects that and blocks that, so literally the entire repo is useless cause it won't even work? I don't get why they don't say that in the docs? OpenSERP is even worse than just basic CURL, as my AI said: "plain curl got 7% blocked but OpenSERP's headless browser got 100% blocked" So then I just built my own with Playwright and a real Google Chrome on my VPS, headful and persistent context, and slow pacing like every 30 seconds or so And I got some better residential IP recommendations (which I can't tell you because thenhey t stop working!) Now I'm at about 90% success rate, which is similar or better than Scrapingbee And it costs me ~$1/mo (measured by GBs, obviously for text scraping I barely use a lot) instead of the $249/mo I paid Scrapingbee! My only remaining SaaS now are: - Cloudflare Domains - Cloudflare Email Sending - Cloudflare R2 Storage - Backblaze B2 for backups - Hetzner for all my servers for all my sites (VPS) - xAI for all LLMs for all my sites (so many things like moderation, writing emails, anything)

✨ Okay with lots of help from Javi Lopez ⛩️ and his Spanish scraping friends I've managed to vibe code my own ScrapingBee alternative and replace my $249/mo Scrapingbee plan with my own $1/mo scraper running on my VPS! First I tried OpenSERP, an open source project that seems freshly maintained but it didn't work on my VPS IP or laptop IP and got blocked fast Then I tried to use residential IP proxies from IPRoyal but they were already quite tainted IPs meaning Google already knew they were scrapers and just blocked about 60% of them already, not so great, also didn't work! Then I discovered OpenSERP uses a vanilla headless Chrome, Google instantly detects that and blocks that, so literally the entire repo is useless cause it won't even work? I don't get why they don't say that in the docs? OpenSERP is even worse than just basic CURL, as my AI said: "plain curl got 7% blocked but OpenSERP's headless browser got 100% blocked" So then I just built my own with Playwright and a real Google Chrome on my VPS, headful and persistent context, and slow pacing like every 30 seconds or so And I got some better residential IP recommendations (which I can't tell you because thenhey t stop working!) Now I'm at about 90% success rate, which is similar or better than Scrapingbee And it costs me ~$1/mo (measured by GBs, obviously for text scraping I barely use a lot) instead of the $249/mo I paid Scrapingbee! My only remaining SaaS now are: - Cloudflare Domains - Cloudflare Email Sending - Cloudflare R2 Storage - Backblaze B2 for backups - Hetzner for all my servers for all my sites (VPS) - xAI for all LLMs for all my sites (so many things like moderation, writing emails, anything)

@levelsio

755,718 views • 21 days ago

I just built a Claude prompt library that runs your entire DTC marketing operation 🤯 100+ prompts organized by function: competitor research, creative briefs, ad copy, hooks, landing pages, performance analysis, customer review mining, and more. Perfect for DTC brands and agencies who are still prompting Claude from scratch every time they open a new chat, rewriting the same context, and getting generic output that sounds like every other AI-generated ad. This prompt library eliminates the entire loop: → Competitor Research: scrape and analyze competitor ads, extract winning hooks, map creative strategies, build competitive battlecards → Creative Briefs: generate data-backed briefs from ad performance, write iteration briefs, new concept briefs, test plans → Ad Copy & Hooks: 20 hooks across 10 frameworks, full ad copy variations, persona-specific angles, fatigue-busting rewrites → Landing Pages: audit any landing page against DR best practices, clone high-converting advertorial structures, write product page copy → Performance Analysis: audit Google Ads accounts, find wasted spend, build visual dashboards, weekly narrative reports → Customer Intelligence: mine reviews for ad copy language, extract objections, find unexpected use cases, build persona cards from real data → SEO & Content: find keyword gaps, write content in your brand voice, optimize product listings for AI shopping (ChatGPT, Gemini) → Email & SMS: launch sequences, weekly newsletters, abandoned cart flows, post-purchase nurture No more blank-page prompting. No more re-explaining your brand every session. No more generic AI output that sounds like a template. What you get: →100+ copy-paste prompts organized by the 8 functions DTC teams actually run →Every prompt pre-loaded with the context structure Claude needs to give you real output →Prompts that reference your brand voice, your ICPs, and your real data — not generic placeholders →A living library you can customize once and reuse across every campaign I put together the full prompt library as a single downloadable playbook: organized by section, ready to copy-paste into Claude today. Want it for free? > Like this post >Comment "PROMPTS" And I'll send it over (must be following so I can DM)

Mike Futia

34,929 views • 5 months ago

✨ [A GLOBAL GATHERING] SAIGON IS CALLING, GOLDEN STARS! ✨ To our International Golden Stars, The countdown to April 18th has officially begun! While we are busy preparing the best surprises for Jessica’s homecoming, we realized something is missing... It’s YOU. Vietnam isn't just a tour stop; this time, it’s the heart of a global celebration. We are inviting you to fly across borders to join us in creating a birthday miracle that Jessica will never forget. 🌟 What’s waiting for you in Ho Chi Minh City? ✨ A Birthday Like No Other: This is our chance to show Jessica that her "Golden Sky" knows no boundaries. Let’s unite our voices to make the loudest "Happy Birthday" echo through the city! ✨ Pure Vietnamese Hospitality: From the moment you land, you’ll feel the warmth of the local fandom. We are ready to welcome you with open hearts (and the best coffee you’ve ever tasted!). ✨ Shared Memories: Meet fellow fans from all over the world, swap stories, and celebrate 20 years of brilliance together. Don’t just watch the fancams from home, come and be the one holding the lightstick! Let’s make this "Reflection" the brightest one yet. 🎫 Secure your spot under the Golden Sky: 📅 Save the Date: April 18, 2026 📍 Location: Tan Binh Exhibition & Convention Center, HCMC See you in Saigon! 🇻🇳✨ #JessicaJung #JessicaReflectionsTour #제시카

✨ [A GLOBAL GATHERING] SAIGON IS CALLING, GOLDEN STARS! ✨ To our International Golden Stars, The countdown to April 18th has officially begun! While we are busy preparing the best surprises for Jessica’s homecoming, we realized something is missing... It’s YOU. Vietnam isn't just a tour stop; this time, it’s the heart of a global celebration. We are inviting you to fly across borders to join us in creating a birthday miracle that Jessica will never forget. 🌟 What’s waiting for you in Ho Chi Minh City? ✨ A Birthday Like No Other: This is our chance to show Jessica that her "Golden Sky" knows no boundaries. Let’s unite our voices to make the loudest "Happy Birthday" echo through the city! ✨ Pure Vietnamese Hospitality: From the moment you land, you’ll feel the warmth of the local fandom. We are ready to welcome you with open hearts (and the best coffee you’ve ever tasted!). ✨ Shared Memories: Meet fellow fans from all over the world, swap stories, and celebrate 20 years of brilliance together. Don’t just watch the fancams from home, come and be the one holding the lightstick! Let’s make this "Reflection" the brightest one yet. 🎫 Secure your spot under the Golden Sky: 📅 Save the Date: April 18, 2026 📍 Location: Tan Binh Exhibition & Convention Center, HCMC See you in Saigon! 🇻🇳✨ #JessicaJung #JessicaReflectionsTour #제시카

TYCCJ

11,345 views • 7 months ago

Claude Code Agent Teams are f*cking ridiculous 🤯 One prompt → a team lead breaks your project into pieces, spins up multiple AI agents, and they all work on different parts simultaneously. Research, builds, reviews, and debugging: all happening at the same time. All inside Claude Code. If you're running complex projects where every step waits on the last one... Agent teams eliminate the entire bottleneck: → Tell Claude what you need and describe the team structure in plain English → A lead agent breaks the work into a shared task list → It spawns 3-5 teammates — each with their own context and workspace → Teammates research, build, test, and review in parallel → They message each other, share findings, and challenge each other's work → The lead synthesizes everything into a finished deliverable No managing agents yourself. No waiting for step 1 to finish before step 2 starts. No single-lens reviews that miss half the issues. What you get: → Competitive research across 5 brands done in minutes instead of hours → Multi-component builds where frontend, backend, and data layers happen simultaneously → Creative reviews from 3 different angles at once — brand voice, conversion, differentiation → Funnel debugging where 4 agents investigate 4 theories and debate until they find the real answer Built 100% in Claude Code with one settings change. I put together a full DTC playbook: 5 workflows with copy-paste prompts, the exact setup process, token management tips, and honest guidance on when agent teams are worth it vs. when a simpler approach is the better move. Want it for free? > Like this post > Comment "AGENTS" And I'll send it over (must be following so I can DM)

Mike Futia

46,478 views • 7 months ago

🎉 Happy Pi Day, Pioneers! 🥧✨ | March 14, 2026 Today we celebrate Pi Day, a special day for the global community built around Pi Network—a project that has united millions of pioneers around a shared vision: creating a people-powered digital economy. What started as a simple idea—to make cryptocurrency accessible to everyday people—has grown into a massive global movement. Millions of pioneers across the world are building, supporting, and contributing to a rapidly expanding ecosystem where real utility, real applications, and real communities are beginning to take shape. Pi Day is more than a celebration of the number 3.14. It represents the collective effort of pioneers everywhere who believe in a decentralized future where technology empowers individuals, businesses, and communities. 🚀 Today we celebrate: 🔹 The millions of pioneers who mine, build, and support the ecosystem every day 🔹 The developers and innovators creating real applications and utilities 🔹 The businesses beginning to accept Pi and participate in the new digital economy 🔹 The global community working together to shape the future of Web3 At Mambochain, we remain committed to building meaningful utilities for the Pi ecosystem through projects like: 🔹 Pitogo Social – where pioneers can connect and engage 🔹 Pitogo Travel – bringing tourism into the Pi economy Workflet for Pi- an all in one platform for managing projects online 🔹 VirtuaSoul – a life simulation game for pioneers on the Pi Browser Together, we are helping build an ecosystem where innovation, participation, and real-world utility thrive. As the Pi community continues to grow stronger each year, the vision of a global peer-to-peer digital economy powered by pioneers comes closer to reality. 🌍 To every pioneer around the world: thank you for being part of this journey. Let’s continue building, supporting, and growing the ecosystem together. Happy Pi Day 2026! #PiDay2026 #PiNetwork #Pioneers #PiCommunity #BuildOnPi #Web3 #PiEcosystem #Mambochain

🎉 Happy Pi Day, Pioneers! 🥧✨ | March 14, 2026 Today we celebrate Pi Day, a special day for the global community built around Pi Network—a project that has united millions of pioneers around a shared vision: creating a people-powered digital economy. What started as a simple idea—to make cryptocurrency accessible to everyday people—has grown into a massive global movement. Millions of pioneers across the world are building, supporting, and contributing to a rapidly expanding ecosystem where real utility, real applications, and real communities are beginning to take shape. Pi Day is more than a celebration of the number 3.14. It represents the collective effort of pioneers everywhere who believe in a decentralized future where technology empowers individuals, businesses, and communities. 🚀 Today we celebrate: 🔹 The millions of pioneers who mine, build, and support the ecosystem every day 🔹 The developers and innovators creating real applications and utilities 🔹 The businesses beginning to accept Pi and participate in the new digital economy 🔹 The global community working together to shape the future of Web3 At Mambochain, we remain committed to building meaningful utilities for the Pi ecosystem through projects like: 🔹 Pitogo Social – where pioneers can connect and engage 🔹 Pitogo Travel – bringing tourism into the Pi economy Workflet for Pi- an all in one platform for managing projects online 🔹 VirtuaSoul – a life simulation game for pioneers on the Pi Browser Together, we are helping build an ecosystem where innovation, participation, and real-world utility thrive. As the Pi community continues to grow stronger each year, the vision of a global peer-to-peer digital economy powered by pioneers comes closer to reality. 🌍 To every pioneer around the world: thank you for being part of this journey. Let’s continue building, supporting, and growing the ecosystem together. Happy Pi Day 2026! #PiDay2026 #PiNetwork #Pioneers #PiCommunity #BuildOnPi #Web3 #PiEcosystem #Mambochain

PitoGo Services π

15,802 views • 6 months ago

Never heard of Solana? Here's what you've been missing: Ordinary drivers with dashcams hit 10M miles of map in under 2 years (Google Street View took 10). Some Street View imagery is a decade old, while Hivemapper maps update every time someone drives past Museum-grade dino fossils used to be a trophy for the Top 1% of the 1%. Now a real Triceratops skull is tokenised with Jurassic Finance Pokémon cards (Collectors Crypt), Sports + One Piece cards (Jupiter), Hot Wheels (Rip Cars), all available for 24/7 trading. A graded collectible can change hands 100x without leaving the vault + fakes weeded out before listing Soilonic: 95% of our food grows in soil but 1/3 of it is degraded. Soilonic pays farms to restore it & every token is redeemable for real soil Cesto 🧺: turn an idea into a portfolio. Think AI is the future? There's a 1-click basket of tokenised NVIDIA, Microsoft + Google, held in your own wallet the whole time $10B+ in tokenised stock trading in a single month, on a network where fees are a thousandth of a cent Helium Mobile ☁️: a cheaper phone plan with signal where big carriers don't reach & you can get paid to host a hotspot at home An app store charging devs 0% (not Apple's 30%), now with 1,000+ apps on Seeker | Solana Mobile AI agents paying their own bills: Ramp gave 70K+ businesses agent wallets that spend against company budgets Salvador Pineda O.: building AI tools to improve spinal surgery decisions for the 500M+ people living with spine conditions Meet the people behind them at Breakpoint 2026! Genius attracts genius at Solana Events 🤝 🇬🇧

Never heard of Solana? Here's what you've been missing: Ordinary drivers with dashcams hit 10M miles of map in under 2 years (Google Street View took 10). Some Street View imagery is a decade old, while Hivemapper maps update every time someone drives past Museum-grade dino fossils used to be a trophy for the Top 1% of the 1%. Now a real Triceratops skull is tokenised with Jurassic Finance Pokémon cards (Collectors Crypt), Sports + One Piece cards (Jupiter), Hot Wheels (Rip Cars), all available for 24/7 trading. A graded collectible can change hands 100x without leaving the vault + fakes weeded out before listing Soilonic: 95% of our food grows in soil but 1/3 of it is degraded. Soilonic pays farms to restore it & every token is redeemable for real soil Cesto 🧺: turn an idea into a portfolio. Think AI is the future? There's a 1-click basket of tokenised NVIDIA, Microsoft + Google, held in your own wallet the whole time $10B+ in tokenised stock trading in a single month, on a network where fees are a thousandth of a cent Helium Mobile ☁️: a cheaper phone plan with signal where big carriers don't reach & you can get paid to host a hotspot at home An app store charging devs 0% (not Apple's 30%), now with 1,000+ apps on Seeker | Solana Mobile AI agents paying their own bills: Ramp gave 70K+ businesses agent wallets that spend against company budgets Salvador Pineda O.: building AI tools to improve spinal surgery decisions for the 500M+ people living with spine conditions Meet the people behind them at Breakpoint 2026! Genius attracts genius at Solana Events 🤝 🇬🇧

Superteam UK

102,852 views • 8 days ago

You don't need a GPU for fast studio grade voice cloning anymore. Qwen3 TTS (1.7B Q4_K_M) + mainline llama.cpp is officially the fastest way to generate zero shot voice clones using 100% pure CPU execution. Following up on my last post where we ran the Q8 model on a GPU, we just took local C++ voice synthesis a massive step further. The open source community quantized Alibaba's SOTA Qwen3 TTS model down to Q4_K_M GGUF, completely freeing local audio pipelines from dedicated graphics hardware. Here is the real world benchmark and hardware breakdown of running SOTA voice cloning on CPU: # Architecture & Model Setup Using Qwen3-TTS-12Hz-1.7B-Base-Q4_K_M.gguf paired with the 8 bit multimodal projector (mmproj-Q8_0.gguf), llama.cpp executes the entire pipeline in pure C++. No PyTorch, no CUDA dependencies, and no VRAM bottlenecks. # Real-World Memory Footprint - Baseline RAM: 1.6 GB system idle. - Peak Generation RAM: 8 GB RAM during active voice synthesis. - Requirement: Any basic machine with at least 8 GB of system RAM can run this easily. # Real World CPU Benchmarks - Google Colab Free Tier (Throttled 2 Core CPU): Synthesizes a 5 sec studio quality audio clip (~8 words) in 45 seconds. - Modern Consumer CPU (Intel i5/i7 13th/14th Gen or AMD Ryzen 7000/9000): generation should drop to 5 to 20 seconds (nearly 1:1 real-time generation speed!). # Zero Shot Voice Cloning Quality Pass any 5 to 20 second .wav audio sample to the C++ engine using the --tts-speaker-file flag. It yields clean, natural sounding cloned speech with virtually zero quality loss compared to unquantized FP16 weights. To make testing seamless, I built an updated zero config Google Colab notebook. It pulls the official pre built llama.cpp CPU binaries (zero compilation time!) launches a live Gradio web app right in your browser. Record a 5 second clip from your mic (or drop a .mp3, .wav file), type text, and generate cloned audio on CPU. Native C++ audio models are making edge based, offline AI voice agents a reality. Links to the free Q4 CPU Colab notebook and the Q4_K_M GGUF HuggingFace repository are in the replies below! Which models have you been running on your CPUs? What CPU hardware are you using for local inference?

You don't need a GPU for fast studio grade voice cloning anymore. Qwen3 TTS (1.7B Q4_K_M) + mainline llama.cpp is officially the fastest way to generate zero shot voice clones using 100% pure CPU execution. Following up on my last post where we ran the Q8 model on a GPU, we just took local C++ voice synthesis a massive step further. The open source community quantized Alibaba's SOTA Qwen3 TTS model down to Q4_K_M GGUF, completely freeing local audio pipelines from dedicated graphics hardware. Here is the real world benchmark and hardware breakdown of running SOTA voice cloning on CPU: # Architecture & Model Setup Using Qwen3-TTS-12Hz-1.7B-Base-Q4_K_M.gguf paired with the 8 bit multimodal projector (mmproj-Q8_0.gguf), llama.cpp executes the entire pipeline in pure C++. No PyTorch, no CUDA dependencies, and no VRAM bottlenecks. # Real-World Memory Footprint - Baseline RAM: 1.6 GB system idle. - Peak Generation RAM: 8 GB RAM during active voice synthesis. - Requirement: Any basic machine with at least 8 GB of system RAM can run this easily. # Real World CPU Benchmarks - Google Colab Free Tier (Throttled 2 Core CPU): Synthesizes a 5 sec studio quality audio clip (~8 words) in 45 seconds. - Modern Consumer CPU (Intel i5/i7 13th/14th Gen or AMD Ryzen 7000/9000): generation should drop to 5 to 20 seconds (nearly 1:1 real-time generation speed!). # Zero Shot Voice Cloning Quality Pass any 5 to 20 second .wav audio sample to the C++ engine using the --tts-speaker-file flag. It yields clean, natural sounding cloned speech with virtually zero quality loss compared to unquantized FP16 weights. To make testing seamless, I built an updated zero config Google Colab notebook. It pulls the official pre built llama.cpp CPU binaries (zero compilation time!) launches a live Gradio web app right in your browser. Record a 5 second clip from your mic (or drop a .mp3, .wav file), type text, and generate cloned audio on CPU. Native C++ audio models are making edge based, offline AI voice agents a reality. Links to the free Q4 CPU Colab notebook and the Q4_K_M GGUF HuggingFace repository are in the replies below! Which models have you been running on your CPUs? What CPU hardware are you using for local inference?

Alok

105,756 views • 1 month ago

A16Z SPEEDRUN 2026 UPDATE: I think most people secretly know if they’re founders or not. Some of you can never be happy working inside a giant company, writing docs, in endless meetings. Deep down, you know you’re supposed to build. we're opening up a16z speedrun today! We are accepting applications for our 006 class, where we'll invest up to $1M. It's based in SF, kicking off Jan 2026 but you need to apply now in september. here's how to apply: And yes, we are investing up to $100M in the next 30 days -- it's all happening in september. Quit whatever it is that you're doing, and in 2026 come to SF and work with us out of Andreessen Horowitz's office in SOMA, alongside over a hundred other founders, building the startup you've always wanted to build. We will help you -- both myself and the a16z speedrun team. the details: - up to $1M of investment - hosted at a16z HQ in San Francisco - 12 week program, with an IRL kickoff, luminary speakers, community events - live events with the founders of Carta, Zynga, DoorDash, Behance, Airtable, Twilio, Figma, and more - private dinners/Q&A with Marc and Ben of a16z - apply now, and the deadline will be Sep 28 2025 for SR6 At a16z speedrun, you get access to programs from our operating team and work with experts in marketing, BD, talent, people and capital—more below MARKETING Our team of expert marketers is here to help you win. Whether refining your brand, launching, or building a thriving community, our marketing operators have powered dozens of startups with: - Brand Development -End-To-End Marketing Strategy -PR & Media Coverage -Go-To-Market Execution -Creators & Content TALENT Find and attract the talent you need to build and scale your company. Our curated network connects you with world-class technical talent, executives, advisors, and specialists who can help accelerate your success. Here’s how the program works: - You tell us what you’re looking for. - We use a16z speedrun's brand and referral networks to magnetize talent. - We take hundreds of calls each week to curate a list that we only send to speedrun founders. - You request introductions and we put you in touch. PEOPLE We help you quickly stand up the tools and practices needed to hire, manage, and lead highly performant teams. Our goal is to help you anticipate challenges and navigate some of the most foundational decisions you'll make as you build a world-class company. While a16z speedrun takes place in the US, we welcome founders and companies from around the world. Our Global Founders Program provides specialized guidance for navigating visas and relocation, plus dedicated access to our expert immigration attorney network, so you can focus your energy on building your company. BUSINESS DEVELOPMENT We unlock unparalleled access to networks, expertise, and tools that help startups scale faster. - $5M+ in free credits in our speedrun Marketplace from AWS, GCP, OpenAI, Anthropic, Microsoft, NVIDIA, Stripe, Deel, and many more. - Dedicated advisors & experts to guide you through every partnership, sales, and GTM motion, including crafting your business model and pricing. - Level up your sales with real live demo experience across various events to executives and operators in your target market. - Access to a16z’s network of executives & decision-makers at 2,000+ companies. CAPITAL One of the most important things a founder can do is raise money. Our fundraising program sets the stage for your raise through an in-person Demo Day and an online platform reaching 1,000+ top early-stage investors. We help you prepare with practice sessions, stress tests, and materials review. When you’re in high-stakes negotiations, we coach you, share insider knowledge, and leverage alumni intel on the investor across the table. More details: The a16z speedrun program is a fast‐paced, 12-week startup program that guides founders through every critical stage of their growth. It kicks off with an orientation to introduce the cohort, then dives into rapid product development—helping founders think through MVP while addressing key topics like customer acquisition and design partnerships. Throughout the program, startups benefit from expert-led sessions and interactive office hours that cover: - Brand Building & Go-to-Market Strategy: Crafting your story, marketing, and driving product-led growth. - Customer Acquisition & Launch: Securing early users and executing effective launch plans. - Fundraising & Strategic Partnerships: Pitching, navigating investment, and building lasting relationships. - Team Building & Operational Scaling: Developing high-performing teams and refining internal processes for sustained growth. - Community & Enterprise Sales: Building communities, forming strategic partnerships, and landing your first enterprise customers. - Product-Market Fit & Demo Day Prep: Assessing market traction which culminates in a Demo Day to showcase progress. The a16z speedrun program is IRL and runs for 12 intensive weeks in which our team of expert investors and operators guide your startup from idea to market launch. The program moves through sequential modules—each dedicated to key aspects such as rapid product development, go-to-market strategy, fundraising, team building, and operational scaling. Expect regular check-ins, one-on-one office hours, and interactive sessions, culminating in a Demo Day where you present your progress to potential investors.

andrew chen

5,940,290 views • 1 year ago

Fable 5 comes back！It can now build playable game prototypes. I think it is actually a signal for where AI coding is going. Making a game is not just “write some code.” Even a small browser game needs: game loop；character movement；collision logic；scoring system；UI states；physics tuning；visual feedback；bug fixing；playtesting This is why game prototyping is a great test for AI models. A model cannot fake it with a pretty answer. Either the game runs, or it does not. What impressed me about Fable 5 is that it is useful for the messy middle: turning an idea into mechanics, turning mechanics into code, debugging broken interactions, and iterating until the prototype feels playable. But here is the practical part: I would not use the strongest model for every step. For game building, I would split the workflow: 1. Fable 5 for game design + architecture 2. a fast coding model for routine implementation 3. a vision-capable model for screenshot/UI feedback 4. a cheaper model for docs, test cases, and small fixes 5. fallback when latency, cost, or output quality becomes a problem That is the real AI coding stack. Not “one magic model does everything.” More like: the right model, for the right task, at the right cost, with fallback when things break. This is why I’ve been looking at ZenMux ZenMux. ZenMux gives developers one gateway to access multiple leading AI models, with OpenAI / Anthropic / Google Vertex compatible APIs, cost tracking, quality benchmarks, auto-routing, and compensation when output quality, latency, or throughput falls short. If AI can now make games, the next question is not just “which model is strongest?” It is:how do we manage the whole model workflow Fable 5 shows the creative ceiling. ZenMux is closer to the infrastructure layer you need when AI coding becomes a real production habit.

Fable 5 comes back！It can now build playable game prototypes. I think it is actually a signal for where AI coding is going. Making a game is not just “write some code.” Even a small browser game needs: game loop；character movement；collision logic；scoring system；UI states；physics tuning；visual feedback；bug fixing；playtesting This is why game prototyping is a great test for AI models. A model cannot fake it with a pretty answer. Either the game runs, or it does not. What impressed me about Fable 5 is that it is useful for the messy middle: turning an idea into mechanics, turning mechanics into code, debugging broken interactions, and iterating until the prototype feels playable. But here is the practical part: I would not use the strongest model for every step. For game building, I would split the workflow: 1. Fable 5 for game design + architecture 2. a fast coding model for routine implementation 3. a vision-capable model for screenshot/UI feedback 4. a cheaper model for docs, test cases, and small fixes 5. fallback when latency, cost, or output quality becomes a problem That is the real AI coding stack. Not “one magic model does everything.” More like: the right model, for the right task, at the right cost, with fallback when things break. This is why I’ve been looking at ZenMux ZenMux. ZenMux gives developers one gateway to access multiple leading AI models, with OpenAI / Anthropic / Google Vertex compatible APIs, cost tracking, quality benchmarks, auto-routing, and compensation when output quality, latency, or throughput falls short. If AI can now make games, the next question is not just “which model is strongest?” It is:how do we manage the whole model workflow Fable 5 shows the creative ceiling. ZenMux is closer to the infrastructure layer you need when AI coding becomes a real production habit.

Rachel🥥

61,994 views • 3 months ago

It's 2030 and you are reviewing humanoid robots. A Tesla. A Google. An Apple. An OpenAI. A Meta. A Figure. And a bunch of Chinese-made ones. Which one is best, and why? I think the Tesla understands the world much better. Why? There were eight Teslas around me on the freeway today. Start there. No other robot company has that data. But my robot is parked at the local high school twice a day. Its cameras see humans in all of our weirdness. How we move. Where we go. Where we walk. Who we talk with. What you are wearing. Whether your hair was combed this morning. That data will lead to robotics breakthroughs. Apple might keep up with its Vision Pro data, but it is too freaked out by the privacy implications of using said data. (On the front are six cameras and a couple of TOF -- Time Of Flight -- sensors that can see everything in your home in great detail). Google has a lot of data, for sure. All my: 1. Email. 2. Calendars. 3. Photos. 4. TV watching behavior. 5. Contacts. 6. Documents and spreadsheets. 7. Files. 8. Location data. So I expect Google's robot will be attractive to many. But how do you see the others shake out over the next five years? Make some guesses. But remember what an AI pioneer told me years ago about AI: it's all about the data. The Chinese ones have huge advantages: the Chinese have more data on their citizens, and many more citizens to boot AND they can make robots cheaper than we can. But now that you know OpenAI is building its own robot you have caught wind of what I've heard from many in San Francisco and Silicon Valley: that humanoid robots are the real prize of AI and will be highly profitable for those that can make them and find customers willing to buy them. Here, too, I learned long ago never to bet against Elon Musk. Will you?

It's 2030 and you are reviewing humanoid robots. A Tesla. A Google. An Apple. An OpenAI. A Meta. A Figure. And a bunch of Chinese-made ones. Which one is best, and why? I think the Tesla understands the world much better. Why? There were eight Teslas around me on the freeway today. Start there. No other robot company has that data. But my robot is parked at the local high school twice a day. Its cameras see humans in all of our weirdness. How we move. Where we go. Where we walk. Who we talk with. What you are wearing. Whether your hair was combed this morning. That data will lead to robotics breakthroughs. Apple might keep up with its Vision Pro data, but it is too freaked out by the privacy implications of using said data. (On the front are six cameras and a couple of TOF -- Time Of Flight -- sensors that can see everything in your home in great detail). Google has a lot of data, for sure. All my: 1. Email. 2. Calendars. 3. Photos. 4. TV watching behavior. 5. Contacts. 6. Documents and spreadsheets. 7. Files. 8. Location data. So I expect Google's robot will be attractive to many. But how do you see the others shake out over the next five years? Make some guesses. But remember what an AI pioneer told me years ago about AI: it's all about the data. The Chinese ones have huge advantages: the Chinese have more data on their citizens, and many more citizens to boot AND they can make robots cheaper than we can. But now that you know OpenAI is building its own robot you have caught wind of what I've heard from many in San Francisco and Silicon Valley: that humanoid robots are the real prize of AI and will be highly profitable for those that can make them and find customers willing to buy them. Here, too, I learned long ago never to bet against Elon Musk. Will you?

Robert Scoble

33,804 views • 1 year ago

Google Gemini Omni is f*cking insane for UGC ads 🤯 Google just dropped their new video model and I spent the past 24 hours putting it through its paces. Multi-shot UGC ads -> Consistent creator across every scene ->Agent mode that runs the whole session. Perfect for DTC brands and agencies who need UGC creative at volume without hiring creators or paying per-video platform fees. If you're briefing creators every week, waiting days for footage, paying $150–$300 per UGC video, and still getting ads that miss the brand vibe... Gemini Omni eliminates the entire loop: → Generate a realistic AI creator from a single image prompt → Upload your creator + product image, reference both by filename in every prompt → Agent mode writes and runs your full production session → Creator stays consistent across every scene change and outfit → Product label accurate, correct color, readable text → 5-shot direct response ad in one briefing No creator briefs. No waiting for footage. No per-video platform fees. What you get: → Multi-shot UGC ads with a locked creator across every scene → AI creator image prompt tuned for realism — not plastic AI faces → Asset tagging system that keeps your product consistent shot to shot → A reusable workflow: new product, new angle, same pipeline I also built a Claude Cowork skill that writes your entire production package before you generate a single frame: Creator prompt, shot list, dialogue, asset-tagged prompts, and voiceover script. I put together a full playbook with the Claude skill file and the exact workflow to run this yourself. Want access for free? > Like this post > Comment "OMNI" And I'll send it over (must be following so I can DM)

Mike Futia

34,393 views • 4 months ago

how consumer apps are making money from tiktok slideshows... most people think app marketing means paid ads or influencer deals. the apps actually printing money right now are doing neither. they're running networks of slideshow accounts that look like normal content pages, and almost nobody notices the machine behind them. here's how it works. you follow what seems like a regular relationship advice account. the posts are relatable, sometimes rude, exactly what the algorithm feeds you. then you hit slide 5 and there's an app mentioned. every single post on that account funnels to the same app. one publisher running this playbook did $40k last month, verified by sensor tower, and that's one publisher. the part people miss: most of these accounts aren't even run by humans making content. the characters are AI. the images are AI. the "person" whose thoughts you're reading doesn't exist. viewers aren't fact-checking, they're reacting to whether the post is relatable, and AI passes that bar daily. myths keeping people out of this: "i need to make original content for my app." false. the fastest path is taking a slideshow that's already proven to convert, keeping the structure and pacing exactly, and swapping only the ad slide. the performance lives in the format, not in your creativity. "i can find my images on google." false. google image search is flooded with stock assets that read as fake instantly. pinterest is where the authentic-looking references live. and you don't post those directly, they're copyrighted, you feed them to AI as reference and generate your own singular images. "every post needs to go viral." false. accounts in this niche post variations constantly and most land under a thousand views. that's the model working. the flopped posts still collect saves and likes, and one breakout carries the month. volume across variations beats one polished post every time. "the ad slide should change with each post." false. everything around it should vary, the pain point, the images, the captions. the ad slide stays identical and polished every single time. you write that caption once, make it perfect, and lock it. consistency on the conversion slide, chaos everywhere else. what actually drives this: you can now clone a proven slideshow into a hundred variations, schedule a month of posts in advance, and have an ai agent handle the posting from your terminal. the production bottleneck is gone. the only real constraint left is picking a post that's already validated and moving before the account farms make this the default playbook for every app on the store. structural notes on what i changed: the original was a chronological tutorial, this reframes it as a reveal (the machine exists, here's how it works) with the tool mechanics compressed into the final paragraph instead of a walkthrough. the myths section absorbs the google/pinterest tip, the ad slide advice, and the volume logic, which were the three strongest insights buried in the tutorial. dropped the ui narration entirely, written format doesn't need it.

how consumer apps are making money from tiktok slideshows... most people think app marketing means paid ads or influencer deals. the apps actually printing money right now are doing neither. they're running networks of slideshow accounts that look like normal content pages, and almost nobody notices the machine behind them. here's how it works. you follow what seems like a regular relationship advice account. the posts are relatable, sometimes rude, exactly what the algorithm feeds you. then you hit slide 5 and there's an app mentioned. every single post on that account funnels to the same app. one publisher running this playbook did $40k last month, verified by sensor tower, and that's one publisher. the part people miss: most of these accounts aren't even run by humans making content. the characters are AI. the images are AI. the "person" whose thoughts you're reading doesn't exist. viewers aren't fact-checking, they're reacting to whether the post is relatable, and AI passes that bar daily. myths keeping people out of this: "i need to make original content for my app." false. the fastest path is taking a slideshow that's already proven to convert, keeping the structure and pacing exactly, and swapping only the ad slide. the performance lives in the format, not in your creativity. "i can find my images on google." false. google image search is flooded with stock assets that read as fake instantly. pinterest is where the authentic-looking references live. and you don't post those directly, they're copyrighted, you feed them to AI as reference and generate your own singular images. "every post needs to go viral." false. accounts in this niche post variations constantly and most land under a thousand views. that's the model working. the flopped posts still collect saves and likes, and one breakout carries the month. volume across variations beats one polished post every time. "the ad slide should change with each post." false. everything around it should vary, the pain point, the images, the captions. the ad slide stays identical and polished every single time. you write that caption once, make it perfect, and lock it. consistency on the conversion slide, chaos everywhere else. what actually drives this: you can now clone a proven slideshow into a hundred variations, schedule a month of posts in advance, and have an ai agent handle the posting from your terminal. the production bottleneck is gone. the only real constraint left is picking a post that's already validated and moving before the account farms make this the default playbook for every app on the store. structural notes on what i changed: the original was a chronological tutorial, this reframes it as a reveal (the machine exists, here's how it works) with the tool mechanics compressed into the final paragraph instead of a walkthrough. the myths section absorbs the google/pinterest tip, the ad slide advice, and the volume logic, which were the three strongest insights buried in the tutorial. dropped the ui narration entirely, written format doesn't need it.

Sulfur

22,163 views • 1 month ago