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A 22-year-old ecommerce builder stopped guessing what would sell. Instead of launching one product page and hoping it converted, he used AI to generate hundreds of variations, testing different layouts, headlines, offers and product images until it found the versions that actually moved the needle. The real advantage isn't... show more

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47,950 views • 2 months ago •via X (Twitter)

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Introducing Instant Agents. Your AI team for Shopify that actually does the work: “Build me a PDP for this product.” “Turn this Figma design into a live page.” “Test 3 variants and pick a winner.” “Create better product images.” Done. Instant Agents are there for you 24/7. We’ve trained AI to understand our product. This way you get the true power of AI in combination with the visual control of our no-code builder. Real layouts, real components. Published to Shopify in 1 click.

Introducing Instant Agents. Your AI team for Shopify that actually does the work: “Build me a PDP for this product.” “Turn this Figma design into a live page.” “Test 3 variants and pick a winner.” “Create better product images.” Done. Instant Agents are there for you 24/7. We’ve trained AI to understand our product. This way you get the true power of AI in combination with the visual control of our no-code builder. Real layouts, real components. Published to Shopify in 1 click.

Instant

12,500 views • 5 months ago

The interesting part isn't just generating a product. Turns out GPT-6 Astra + Dreamina Seedance 2.5 is an actual pipeline. It's going from a draft → real-looking product → product page in one continuous workflow. I started with a simple product concept in Dreamina. Then GPT-6 Astra interpreted the draft, built out the actual product, and used it to create the final product detail page. Dreamina's pricing also makes it practical to generate a bunch of early concepts instead of overthinking the first one. This workflow is definitely worth experimenting with. #Dreamina #DreaminaPartner

The interesting part isn't just generating a product. Turns out GPT-6 Astra + Dreamina Seedance 2.5 is an actual pipeline. It's going from a draft → real-looking product → product page in one continuous workflow. I started with a simple product concept in Dreamina. Then GPT-6 Astra interpreted the draft, built out the actual product, and used it to create the final product detail page. Dreamina's pricing also makes it practical to generate a bunch of early concepts instead of overthinking the first one. This workflow is definitely worth experimenting with. #Dreamina #DreaminaPartner

Md Riyazuddin

61,601 views • 19 days ago

A teenager made $52,516 in one month after deleting his Shopify store He doesn’t film himself, doesn’t sell a course he flashed the order feed and walked $23.50, $59.99, $95.70, and the notifications don’t stop The trick isn’t a product, it’s the system behind the product He types a prompt, and 20 minutes later a full product page is live same Shopify checkout, same integration, every order carries over, except now an AI runs the storefront Then it does the thing no human will It spins up hundreds of versions of the same store, 16 variants at once, 4,000 visitors a day feeding a 2.7M sample It watches which one converts, kills the losers, keeps the winner Conversion already up 3.2%, and he touched nothing Same investors as ChatGPT, as Stripe, as Airbnb He won’t name it Still running a static Shopify store in 2026? You’re the losing variant

A teenager made $52,516 in one month after deleting his Shopify store He doesn’t film himself, doesn’t sell a course he flashed the order feed and walked $23.50, $59.99, $95.70, and the notifications don’t stop The trick isn’t a product, it’s the system behind the product He types a prompt, and 20 minutes later a full product page is live same Shopify checkout, same integration, every order carries over, except now an AI runs the storefront Then it does the thing no human will It spins up hundreds of versions of the same store, 16 variants at once, 4,000 visitors a day feeding a 2.7M sample It watches which one converts, kills the losers, keeps the winner Conversion already up 3.2%, and he touched nothing Same investors as ChatGPT, as Stripe, as Airbnb He won’t name it Still running a static Shopify store in 2026? You’re the losing variant

Spike 1%

16,510 views • 3 months ago

We cracked the code to 100% product consistency. If you want to make AI ads for real brands, product consistency isn't a craft preference. It's a non-negotiable. That's what's been keeping AI out of most commercial product work. Our Global Creative Head, Hridaye, has been trying to crack this for a while. Every viral workflow he saw was some version of "upload seven photos of your product and pray." So he went back to first principles and figured out what actually works. Full breakdown in the video and the thread.

We cracked the code to 100% product consistency. If you want to make AI ads for real brands, product consistency isn't a craft preference. It's a non-negotiable. That's what's been keeping AI out of most commercial product work. Our Global Creative Head, Hridaye, has been trying to crack this for a while. Every viral workflow he saw was some version of "upload seven photos of your product and pray." So he went back to first principles and figured out what actually works. Full breakdown in the video and the thread.

Invideo

556,669 views • 2 months ago

A 3-week-old store is pulling $7,000 week, and its owner barely touches it. No team. No agency. No copywriter. -> Investment: a $20 Claude subscription and one product photo. It runs on Ambaras. Hundreds of AI agents spun up 600+ versions of the store, A/B-tested them live, and pushed the winner to the front. Claude wrote every page, upsell and bundle, and generated the product images from that one photo. Sales pour in from everywhere at once: storefront, Instagram Shop, Tik Tok Shop, email. She opened the dashboard to check his numbers. 600 experiments had already picked the store that prints. Now she just watches it run. $7,000 a week. 3 weeks old. Do the math.

A 3-week-old store is pulling $7,000 week, and its owner barely touches it. No team. No agency. No copywriter. -> Investment: a $20 Claude subscription and one product photo. It runs on Ambaras. Hundreds of AI agents spun up 600+ versions of the store, A/B-tested them live, and pushed the winner to the front. Claude wrote every page, upsell and bundle, and generated the product images from that one photo. Sales pour in from everywhere at once: storefront, Instagram Shop, Tik Tok Shop, email. She opened the dashboard to check his numbers. 600 experiments had already picked the store that prints. Now she just watches it run. $7,000 a week. 3 weeks old. Do the math.

Ridark

13,387 views • 2 months ago

The CTO of a $1.5B agent-native software company says we're moving towards a world where the entire team builds the product engineering system that powers your product instead of directly working on the product. They will modify the agents and the constitution of the agents to help them prioritize tasks per Eno Reyes. They will also modify the review system so that it reviews more accurately. It will be akin to a dark factory where the lights are off because it's all robots with no humans inside. In that world, there will be way more things for humans to be involved in because the debates around prioritization/product will be harder and require stronger judgment.

The CTO of a $1.5B agent-native software company says we're moving towards a world where the entire team builds the product engineering system that powers your product instead of directly working on the product. They will modify the agents and the constitution of the agents to help them prioritize tasks per Eno Reyes. They will also modify the review system so that it reviews more accurately. It will be akin to a dark factory where the lights are off because it's all robots with no humans inside. In that world, there will be way more things for humans to be involved in because the debates around prioritization/product will be harder and require stronger judgment.

Ivan Burazin

64,564 views • 5 months ago

We're excited to introduce eComrads. Our mission is to make AI that sells, not just AI that makes content. We're building AdDNA, the intelligence layer that gives AI models and agents judgment about what actually converts. And today, eComrads is live to everyone. AI has made it easy to generate anything. A product photo, a video, an ad, in seconds. Everyone has the same tools now, and most of what comes out is slop, content that looks fine and sells nothing. Because generating content was never the hard part. The hard part is judgement. What converts, what fits the brand, what makes someone actually buy. Cracking that means turning something fuzzy and subjective, the instinct for what sells, into something we can measure and codify. We're starting with ecommerce. There are two sides to this, the intelligence layer and the production layer: - We've trained AdDNA on what actually performs in each niche, the winning patterns behind real conversions, not pretty pictures, and we refresh it constantly so the system generates toward what sells. - We've built the production engine that turns that judgment into finished, on-brand creative, photoshoots, video, UGC, and ads, with your product kept accurate instead of reinvented, and every output checked before it ships. We learned all of this the hard way, producing creative by hand for real brands until we knew exactly what breaks and what sells. eComrads is that knowledge, turned into a product. We want a future where any brand can compete on the quality of its ideas, not the size of its ad budget.

eComrads

457,250 views • 3 months ago

Howie CEO austin petersmith told us building an AI secretary is harder than it looks. For a product like this, he said "you have to put a pretty bad product into market in order to get a good one." Last year, they worked with customers to understand the patterns and mapping out the mindset of an executive assistant. Now, that product is available to everyone.

Howie CEO austin petersmith told us building an AI secretary is harder than it looks. For a product like this, he said "you have to put a pretty bad product into market in order to get a good one." Last year, they worked with customers to understand the patterns and mapping out the mindset of an executive assistant. Now, that product is available to everyone.

TBPN

11,051 views • 1 year ago

MIT GAVE DEBUGGING ITS OWN FULL LECTURE -- BECAUSE MOST DEVS STILL HUNT BUGS WITH PRINT STATEMENTS LIKE IT'S 1995 54 minutes that take the thing you do every single day, badly, and show you the tools schools never bothered to teach. -> The moment it lands, you realize "add a print, run it, add another print" was never debugging. It was guessing with extra steps. Most people never learned the real toolkit. A proper debugger, breakpoints, tracing what the program actually does instead of what you assume it does. In 2026 guessing isn't good enough -> the bug is buried in code you didn't even write, and printf won't find it for you. An AI agent will generate hundreds of lines in seconds. When one of them quietly breaks, finding it runs on exactly the skills in this lecture. Anyone can add a print statement. The person who can actually trace a bug to its source is the one who ships while everyone else guesses. Bookmark & Watch it ↓

MIT GAVE DEBUGGING ITS OWN FULL LECTURE -- BECAUSE MOST DEVS STILL HUNT BUGS WITH PRINT STATEMENTS LIKE IT'S 1995 54 minutes that take the thing you do every single day, badly, and show you the tools schools never bothered to teach. -> The moment it lands, you realize "add a print, run it, add another print" was never debugging. It was guessing with extra steps. Most people never learned the real toolkit. A proper debugger, breakpoints, tracing what the program actually does instead of what you assume it does. In 2026 guessing isn't good enough -> the bug is buried in code you didn't even write, and printf won't find it for you. An AI agent will generate hundreds of lines in seconds. When one of them quietly breaks, finding it runs on exactly the skills in this lecture. Anyone can add a print statement. The person who can actually trace a bug to its source is the one who ships while everyone else guesses. Bookmark & Watch it ↓

slash1s

10,864 views • 3 months ago

The Liberal Party didn't lose because it stood for too much. In my view, it lost because many of its traditional supporters felt it stopped standing for the conservative and Christian values that once defined it. It became focused on what was politically safe instead of what made it different. One Nation's growth isn't just about immigration. It's about having the courage to speak on issues the major parties won't.

The Liberal Party didn't lose because it stood for too much. In my view, it lost because many of its traditional supporters felt it stopped standing for the conservative and Christian values that once defined it. It became focused on what was politically safe instead of what made it different. One Nation's growth isn't just about immigration. It's about having the courage to speak on issues the major parties won't.

George Mamalis

15,126 views • 3 months ago

Every company says they have Forward-Deployed Engineers now. ElevenLabs CEO and former Palantir Deployment Strategist Mati Staniszewski gives one of the best explanations of what an FDE is—and says companies are missing the key piece of what actually makes FDEs valuable: “In our case, FDEs are part of the product team. They are not part of the go-to-market team. They are deeply embedded in understanding what the roadmap of the product is.” “You want all the FDEs to actually solve the customer problem and stretch your product in that direction. But the second thing you want them to do is bring any of that knowledge back to the product, so the product becomes better for the next generation of companies building on top of it. I feel like the second part is frequently missed.” “The beauty of that is—everybody benefits because you work with one customer, learn, and you bring that into the product experience. Both of those customers benefited from having their product optimized for better work.” “The domain expertise they have is still theirs. They can win based on their domain expertise. But the product experience of how you build based on that domain expertise can be abstracted, and can be reusable.”

Every company says they have Forward-Deployed Engineers now. ElevenLabs CEO and former Palantir Deployment Strategist Mati Staniszewski gives one of the best explanations of what an FDE is—and says companies are missing the key piece of what actually makes FDEs valuable: “In our case, FDEs are part of the product team. They are not part of the go-to-market team. They are deeply embedded in understanding what the roadmap of the product is.” “You want all the FDEs to actually solve the customer problem and stretch your product in that direction. But the second thing you want them to do is bring any of that knowledge back to the product, so the product becomes better for the next generation of companies building on top of it. I feel like the second part is frequently missed.” “The beauty of that is—everybody benefits because you work with one customer, learn, and you bring that into the product experience. Both of those customers benefited from having their product optimized for better work.” “The domain expertise they have is still theirs. They can win based on their domain expertise. But the product experience of how you build based on that domain expertise can be abstracted, and can be reusable.”

David Senra

302,700 views • 21 days ago

A 26-year-old guy from China runs an agency that gains over 1,000,000 followers a year, and not a single one of his streams is actually live. he started as a real streamer, on camera every night, and made almost nothing. the moment he stopped, the caps stopped. a shop that closes when you sleep isn't a business, it's a shift. so he stopped going live. he built a rig that only looks live: > two vertical 4K monitors looping a clean pre-recorded product demo > phones on tripods filming the screens through anti-moiré glass > TikTok Shop links wired to every "stream" > one operator minding a rack of them instead of a camera the trick was never the tech. it was the reframe: a live-commerce stream never had to be live. it had to sell. a good demo, looped clean, closed the same at 4am as it did at noon. then he ran it for other people. brands handed him their catalog, he spun up always-on storefronts across a dozen accounts, and took a cut of every sale the loops closed. the $100,000 a year didn't come from being on camera. they came the night he realized the camera was the only part that needed a human, so he removed it.

A 26-year-old guy from China runs an agency that gains over 1,000,000 followers a year, and not a single one of his streams is actually live. he started as a real streamer, on camera every night, and made almost nothing. the moment he stopped, the caps stopped. a shop that closes when you sleep isn't a business, it's a shift. so he stopped going live. he built a rig that only looks live: > two vertical 4K monitors looping a clean pre-recorded product demo > phones on tripods filming the screens through anti-moiré glass > TikTok Shop links wired to every "stream" > one operator minding a rack of them instead of a camera the trick was never the tech. it was the reframe: a live-commerce stream never had to be live. it had to sell. a good demo, looped clean, closed the same at 4am as it did at noon. then he ran it for other people. brands handed him their catalog, he spun up always-on storefronts across a dozen accounts, and took a cut of every sale the loops closed. the $100,000 a year didn't come from being on camera. they came the night he realized the camera was the only part that needed a human, so he removed it.

Nekt0

21,566 views • 2 months ago

We closed the year by building, not talking. Our product moved from idea to real testing. We launched working modules, collected first data, validated core assumptions, strengthened infrastructure, and kept a growing community that stays for the vision, not the hype. Traction this year is simple: • product is live in testing • infrastructure handles load • users return and engage • retention and monetization show early scalable signals Clarnium is an AI-powered DeFi hub that launches, pays, and grows Web3 projects in 3 clicks. We survived the bear market… and became better because of it. In 2026: • ClarFun token launcher (Base + Solana, designed) • v1 platform already in live testing • Ambassador program at final stage of development • AI launch predictions (projected) Degen? We recommend testing. Alpha DAO members get first access and test directly with the team at launch. Welcome

We closed the year by building, not talking. Our product moved from idea to real testing. We launched working modules, collected first data, validated core assumptions, strengthened infrastructure, and kept a growing community that stays for the vision, not the hype. Traction this year is simple: • product is live in testing • infrastructure handles load • users return and engage • retention and monetization show early scalable signals Clarnium is an AI-powered DeFi hub that launches, pays, and grows Web3 projects in 3 clicks. We survived the bear market… and became better because of it. In 2026: • ClarFun token launcher (Base + Solana, designed) • v1 platform already in live testing • Ambassador program at final stage of development • AI launch predictions (projected) Degen? We recommend testing. Alpha DAO members get first access and test directly with the team at launch. Welcome

Clarnium.io

29,230 views • 9 months ago

this ai agent is INSANE for creating & selling digital products... i built an agent that builds you digital products, helps you pick a niche, then gives you a full personalized blueprint to sell it. feed it a niche, the problem you're solving, and your desired outcome, one minute later you've got a ready-to-sell product and an ai assistant that helps you sell it. > it helps you find untapped niches in the digital product space > scans your niche for real problems, desires, and buyer personas > calculates whether the demand is actually worth launching into > once validated, it generates the full product in any format, pdf, notion template, ebook > gives you the exact path to sell it, even if you've never sold anything before. the output is a ready-to-sell product. go to your ai assistant, ask it how to sell, follow the blueprint. rt + reply "agent" and i'll send it to you so you can use it for your business (must be following so i can dm)

this ai agent is INSANE for creating & selling digital products... i built an agent that builds you digital products, helps you pick a niche, then gives you a full personalized blueprint to sell it. feed it a niche, the problem you're solving, and your desired outcome, one minute later you've got a ready-to-sell product and an ai assistant that helps you sell it. > it helps you find untapped niches in the digital product space > scans your niche for real problems, desires, and buyer personas > calculates whether the demand is actually worth launching into > once validated, it generates the full product in any format, pdf, notion template, ebook > gives you the exact path to sell it, even if you've never sold anything before. the output is a ready-to-sell product. go to your ai assistant, ask it how to sell, follow the blueprint. rt + reply "agent" and i'll send it to you so you can use it for your business (must be following so i can dm)

MONTE

13,987 views • 2 months ago

🎉Today, I'm launching Docny (Docny). Documentation is one of the most important parts of building a technical product, yet it's often the hardest thing to keep up to date. Teams write docs in one place, manage product work in another, support customers somewhere else, and maintain API references separately. I started building Docny to bring those workflows together and help developers keep their docs in sync using AI. With Docny, teams can create beautiful documentation, API references, guides, and developer portals while connecting them to the tools they already use. 🛳️ After months of building, redesigning, testing, and learning, it's finally live.

🎉Today, I'm launching Docny (Docny). Documentation is one of the most important parts of building a technical product, yet it's often the hardest thing to keep up to date. Teams write docs in one place, manage product work in another, support customers somewhere else, and maintain API references separately. I started building Docny to bring those workflows together and help developers keep their docs in sync using AI. With Docny, teams can create beautiful documentation, API references, guides, and developer portals while connecting them to the tools they already use. 🛳️ After months of building, redesigning, testing, and learning, it's finally live.

Opemipo Disu 🦅

87,915 views • 2 months ago

Stop using AI like a chatbot. It can literally run your research for you. They don’t work. They just… talk. Until now. I tested a setup that actually executes tasks: → Claude Code plans → XCrawl fetches real-time data → AI analyzes + delivers insights No fluff. Just output. I gave it a real task: “Analyze top candle brands, pricing & trends” What happened next was wild 👇 Instead of guessing: XCrawl: → searched competitors → crawled real product pages → returned structured data Claude: → compared pricing → spotted trends → delivered insights Result (in minutes): - actual price ranges - best-selling product types - real positioning strategies No tabs. No copy-paste. No manual research. This is the real shift: Old AI: “Here’s an answer.” New AI: “I’ve already done the work.” If you’re still using AI like Google… you’re already behind. Try it yourself (free 1,000 credits): Docs:

Stop using AI like a chatbot. It can literally run your research for you. They don’t work. They just… talk. Until now. I tested a setup that actually executes tasks: → Claude Code plans → XCrawl fetches real-time data → AI analyzes + delivers insights No fluff. Just output. I gave it a real task: “Analyze top candle brands, pricing & trends” What happened next was wild 👇 Instead of guessing: XCrawl: → searched competitors → crawled real product pages → returned structured data Claude: → compared pricing → spotted trends → delivered insights Result (in minutes): - actual price ranges - best-selling product types - real positioning strategies No tabs. No copy-paste. No manual research. This is the real shift: Old AI: “Here’s an answer.” New AI: “I’ve already done the work.” If you’re still using AI like Google… you’re already behind. Try it yourself (free 1,000 credits): Docs:

Shruti Codes

20,473 views • 6 months ago

Programmers, PMs, and designers are in a three-way Mexican standoff. .Marc Andreessen 🇺🇸 says the new job title is "builder." "The programmers think that they don't need the product managers and the designers anymore because they can have AI do that." "Each of the other two doesn't think they need the other two either." "What I've been predicting is they're all correct." "The product manager can generate code and design now, and each of them can do the job of all three." "Now the job is builder." "It's entirely possible that we're sitting here in 10 years... the job of coder is gone, but you have this extraordinary number of builders running around."

Programmers, PMs, and designers are in a three-way Mexican standoff. .Marc Andreessen 🇺🇸 says the new job title is "builder." "The programmers think that they don't need the product managers and the designers anymore because they can have AI do that." "Each of the other two doesn't think they need the other two either." "What I've been predicting is they're all correct." "The product manager can generate code and design now, and each of them can do the job of all three." "Now the job is builder." "It's entirely possible that we're sitting here in 10 years... the job of coder is gone, but you have this extraordinary number of builders running around."

MTS

74,116 views • 4 months ago

Drop what you're doing and watch this. A 22 year old non-coder built an app that made $60K in its first month. Another non-coder built one in 3 days and crossed $180K in roughly 2 months. The lesson isn't "learn to code." It's almost the opposite. Watch this video. Then copy the link to the $1,000/48hour blueprint article. This 36 minute conversation explains why the rules of building a software business are changing. Amol Jain, Head of Product Engineering at Replit, walks through real nontechnical founders who built businesses reaching $60K in a first month and $180K+ in roughly two months, but the important lesson isn't the tool they used. It's what happened when building the software stopped being the hardest part. The advantage moved to finding an underserved problem, understanding the people who have it, getting the product in front of them, earning their trust and convincing them to pay. If code keeps getting cheaper, distribution, judgment and customer understanding become more valuable. That's the part I'd pay very close attention to.

Drop what you're doing and watch this. A 22 year old non-coder built an app that made $60K in its first month. Another non-coder built one in 3 days and crossed $180K in roughly 2 months. The lesson isn't "learn to code." It's almost the opposite. Watch this video. Then copy the link to the $1,000/48hour blueprint article. This 36 minute conversation explains why the rules of building a software business are changing. Amol Jain, Head of Product Engineering at Replit, walks through real nontechnical founders who built businesses reaching $60K in a first month and $180K+ in roughly two months, but the important lesson isn't the tool they used. It's what happened when building the software stopped being the hardest part. The advantage moved to finding an underserved problem, understanding the people who have it, getting the product in front of them, earning their trust and convincing them to pay. If code keeps getting cheaper, distribution, judgment and customer understanding become more valuable. That's the part I'd pay very close attention to.

Vision Surge

91,015 views • 12 days ago

supplement brands doing $40k a day are not running polished commercial ads they're running one format >a real person >a real kitchen >a real routine the product is just sitting there naturally like it belongs >no big claims >no before and after >no loud voiceover just a normal moment that makes the viewer think "that could be my routine too" ai makes it possible to produce 50 versions of this in a single afternoon >same product >different moment >different person >different reason to buy rt + comment "supplement" and i'll send the full creative breakdown (must be following for dm)

supplement brands doing $40k a day are not running polished commercial ads they're running one format >a real person >a real kitchen >a real routine the product is just sitting there naturally like it belongs >no big claims >no before and after >no loud voiceover just a normal moment that makes the viewer think "that could be my routine too" ai makes it possible to produce 50 versions of this in a single afternoon >same product >different moment >different person >different reason to buy rt + comment "supplement" and i'll send the full creative breakdown (must be following for dm)

Laur

10,289 views • 2 months ago

One of the suspects worked with Young Shall Grow for eight years as a panel beater before he left because he was not retained. According to the suspect, Young Shall Grow Transport company usually leave their keys in the vehicle. They saw one of the buses parked at Aba and they stole it and moved it to Warri Delta State. Before they could sell it to scrap dealers, we got them arrested and recovered the bus.

One of the suspects worked with Young Shall Grow for eight years as a panel beater before he left because he was not retained. According to the suspect, Young Shall Grow Transport company usually leave their keys in the vehicle. They saw one of the buses parked at Aba and they stole it and moved it to Warri Delta State. Before they could sell it to scrap dealers, we got them arrested and recovered the bus.

SP Bright Edafe

208,633 views • 1 year ago