this is the final checkpoint find a problem build a solution with ai distribute it across channels with faces that feel familiar two years ago, this meant a million dollar funding as a necessity with a 20-people team of domain experts today its a couple hundred dollars and novelty the barriers to building and pushing software have collapsed. ai writes code, cooks content, and puts you on the map the same day. the opportunity is no longer access to resources anymore, it's spotting real problems and moving fast enough to solve them.

the biggest advantage in business used to be money. then it became distribution. now it's speed. a year ago, building an app (even with ai) was a headache. you needed developers. designers. weeks of work. and a budget that most indie devs don't have. which means you had to spend more time - learning, trying, fixing. today, i can have an app live in minutes with superapp ai. then create ads for it with arcads a few minutes later. not mockups. not concepts. actual assets ready to ship. that's a pretty crazy change when you stop and think about it. for the first time, building software is starting to feel easy. the hard part isn't creating the product anymore. it's getting people to care. which means the game is changing. the winners won't be the people who can build. soon almost everyone will be able to build. the winners will be the people with the best ideas and the best distribution. the people who can test faster. learn faster. and ship faster. when one founder is running 50 experiments while another is still planning the first one, you know who will fail faster and get up and this is the worst these tools will ever be. next year's models will be smarter. faster. cheaper. building apps will get easier. creating ads will get easier. distribution will get easier. things that feel crazy today will feel normal. and things that feel impossible today will probably become a button. i don't think most people have fully processed how big this shift is. we're moving into a world where turning an idea into a product is becoming a cakewalk. from there, everything comes down to execution. and speed compounds.

This is insane… It’s what 1-person teams were actually waiting for… Not more AI tools. Something you can plug into your stack and build on top of. Uni-1 is now an API. This means you don’t just “use” It, you integrate it. I wanted to test something real, so I built a YouTube thumbnail system. Not a “random generator” or “ai wrapper”, but an actual workflow. You give it: - a video title - script summary - 2 ref thumbnails And it does everything: 1. Understands the hook behind the video 2. Matches style composition from references 3. Generates multiple thumbnail directions 4. Keeps the same character across outputs 5. Lets you edit with plain English 6. Updates without resetting everything This is the part most people won’t get until they try it: iteration doesn’t kill the output. You can tweak things over and over and it still holds the original intent. > Same style > Same layout > Same visual identity Now imagine running this properly: > 20–30 thumbnails per video > each based on a different hook > ready to test instantly That’s not content creation anymore. That’s a distribution engine. No kidding. And because this is an API: - you can plug this into your app - build it into your workflow - sell it as a feature or just run it internally No need for a 5-tool stack where the pipeline is fragile af. It is just one system sitting inside your product This is what AI-native building actually looks like - Not prompting tools but building systems that think.

This is HUGE Alibaba has made its biggest strategic investment in an agentic business with Accio. I got early access and built a Reddit scraper It is literally like "Claude Cowork for Business". It doesn't chat. It just gets to work. Here's everything to know 👇

Do you understand what's happening? It's not just "AI can make iOS apps" anymore. AI is eating up the entire software industry. Even Dario Amodei (founder of Claude) said 90% of all code in the world would be written by AI. In 20 minutes, I built this Duolingo for AI upskilling app with Superapp. The idea was simple - almost everyone today knows AI is the future, but most of them are still feeling left out. Their current jobs don't leave them with enough time to actually learn and build stuff with AI. There's AI dev, video making, animations, testing, etc. But no time or clear direction. So I built an app to fix exactly this. With AgentIQ, you get new lessons every day. Every time you learn something, it gets added to your skillset and automatically refreshes your portfolio. You level up with every new chapter/pathway. It is self-paced but gamified enough (like Duolingo) that you never get out of touch. Without spending hours or tonnes of money, you build stuff with n8n, openclaw, etc. You ship AI videos to market your own AI apps. This could be a proper ed-tech company if someone wants to continue building on top. Happy to share the entire source code with you if you wanna pursue it. Like comment "AGENT" and I'll send you the app link, a comprehensive guide to build production-ready apps, and the entire source code for this.

okay this is insane... you don't need to be a "prompt engineer" anymore. luma labs just dropped uni-1 that is smart enough to understand what you want you can make animes, movies better than DC, cartoons better than disney... from your room here's how to do it 👇

Today, we’re launching Airpost. I’m 46. That’s not a cool age to found a startup. At least according to Twitter. I still call it Twitter. I’ve loved advertising all my life. Since I was 19 and my mom told me about a movie called “Nothing in Common” with Tom Hanks where he plays an ad exec whose main job seems to be shooting hoops with his creative partner. That sounded fun. Since then, traditional advertising has stayed… traditional. From my 1st job out of college writing TV ads for Snapple and Fox Sports, to leading product marketing at Airbnb, I’ve seen a lot. Now the AI era is here and an entire $1T industry is about to change. Who will change it? Why not me? Why not us? Introducing Airpost: a platform and service where world-class creative strategists use custom-built AI to build video ads. Fast. If you’ve ever sat down to make an ad with AI and realized 20 minutes later you’re still wrestling with that same clip… that’s why we built Airpost. Growth teams are busy. They’re asked to do too many things as it is. They shouldn’t have to be AI experts as well. Creative strategists shouldn’t have to stare at a white box trying to decide what to prompt. They should have a partner. That’s what we aspire to be. And that’s what we’ve built our tech to do. AI ads shouldn’t have to mean only AI footage. We have an exclusive library of over 300,000 video clips we’ve shot ourselves. Our engine uses these, along with client footage and AI footage to make the ads we deliver each week. We’re funded by the best investors and humans we know. We bootstrapped our performance creative agency, Ready Set, to 200 people. I was always told VCs didn’t add value. If that’s true, it must be other VCs, because ours have been awesome. Thank you Zach Perret, Nate Abbott, Peter Hebert, Max Mullen and all of the firms and folks who’ve believed in us so far. We’ve gone from 0 to $1M ARR in the six months since we quietly started working with early clients like DoorDash, Dr. Squatch, Calm and more. So far, every customer has renewed. To celebrate the launch, we’re giving away a superagent where you: 1) Put in your product URL 2) Get snippets of what your real users are saying on Meta, TikTok, Reddit and X 3) Paste them into ad scripts Comment “Airpost” and I’ll DM you the private link. It feels (a little scary but) good to be out there. Here we go! 🚀

Our launch is in the News now 🔥 Already past 1m views on X alone Build the right things, world will notice

These guys just crushed the $600B ad industry with an AI tool called Arcads. After bootstrapping to $13 million in ARR, he has raised $16 million to replace UGC. Here's the crazy story: > early 2024 - launch Arcads > thesis: text to ads in minutes with ai > 100s of signups in the first weeks > MRR grows fast > hit PMF in 7 days > customer posts results on X > tweet goes viral, signups jump ~10× > $5K MRR in first week > infra collapses, payments fail > shut down onboarding for ~30 days > fix 50 scaling issues, rebuild infra mid 2024 > Arcads relaunches > growth stabilizes, retention holds > hit $1M ARR with 5 employees 2025 > $7M ARR, still just 6 employees > revenue jumps to $10M ARR > completely bootstrapped so far > 5,000 paying customers > thousands of AI ads generated daily > 20,000 video ads processed > supports all the latest AI models: December '25 > raise $16 million from top VCs > still 10 people team > partner with Meta, Applovin, TikTok > used by VC-backed startups, top YC companies, Fortune 500 companies > top media buyers spending $100M /year Romain Torres for you, ladies and gentlemen. 4 startups. Multiple acquisitions. $0 → $13M ARR in < 2 years. Building heads down. If this doesn't get you out of bed, idk what will.

my biggest learning after clocking 100 million views on X across all my client accounts: in <3 months, the algorithm forgets you. every 6 months, 70% of your followers will move out of your network graph (meaning 70% will never find your content on their feed again). the goal of your content is not to chase virality but to find 100 people who would make great friends, investors, and partners 3 years down the line. your interactions should find you 10 extremely high-value individuals who would bet all their money on you just because you have proved your caliber over and over again.