This no-code app is making $1M ARR

Happy Tuesday and welcome to our 70 new subs 👋 AI is moving fast… Meta’s dropping $14B like it’s pocket change, no-coders are hitting $1M ARR, and building your own AI writer now takes minutes, not months. This week, we’re diving into the wild new playbook for AI founders: startup ideas, monetization tactics, and tools you can use right now. Let’s get into it.

TL;DR: Meta is making a bold $14.3 billion move—buying nearly half of Scale AI and bringing on its CEO, Alexandr Wang, to lead a new “superintelligence” division. The deal gives Meta more high-quality training data and puts it in a stronger position to compete in the AGI arms race.

🧠 Wang joins Meta’s AGI push: Scale AI CEO Alexandr Wang will head Meta’s new superintelligence team, reporting directly to Zuckerberg.

💸 $14.3B for 49%: Meta’s minority, non-voting stake avoids regulatory friction while securing deep access to Scale’s data pipeline.

🧬 Data is king: Scale powers data labeling for OpenAI, Google, the Pentagon—Meta now taps into that to boost its own models.

🎯 AGI is the target: Meta is no longer just dabbling in AI. It’s going all-in on artificial general intelligence to compete with OpenAI and Anthropic.

🔥 Talent war escalates: Meta is offering 7–8 figure packages to top AI researchers, hoping to turn the tide after Llama 4’s underperformance.

TL;DR: After six failed SaaS attempts, Jacob and Alex finally hit gold with Faceless Video, a no-code app built on Bubble that auto-generates viral social videos. In just 10 months, they reached 1.1M users and $1M ARR—proving you don’t need code to build a wildly successful SaaS.

💻 Built on Bubble: Jacob had zero technical background, but Bubble’s visual builder let him ship a full SaaS.Their story proves that anyone can build a powerful app without writing a single line of code.

📹 Faceless video makes viral content easy: Users enter a topic, and the tool auto-creates short-form videos for TikTok, Reels, and more. Thousands of videos are generated daily, helping creators post at scale without showing their face.

🧠 Speed and scalability from day one: They focused on building a minimum viable product that could handle massive growth early. This kept technical debt low and helped them serve over a million users with minimal hiccups.

📈 Bootstrapped with discipline and love: Without outside funding, they stayed lean, iterated fast, and listened closely to users.Their passion for the product gave them the edge to outlast early failures and keep going.

📣 Marketing through narrative, not ads: Instead of spending big, they went viral using Twitter threads and smart storytelling. Authentic messaging and influencer buzz turned users into promoters and fueled explosive growth.

TL;DR: Do you need a tactical playbook for discovering AI-powered startup ideas by mining workflows, online communities, and your own ChatGPT history. Founders should treat AI as both a co-founder and product engine—automating pain points, scaling quickly, and unlocking niche markets that legacy software ignores.

🤖 AI reveals pain points hiding in plain sight: Use tools like ChatGPT to identify tedious, repetitive workflows across industries.These are golden opportunities for automation-based products that people will pay for.

🧠 Your ChatGPT history is an idea goldmine: Reviewing your own AI prompts can surface patterns and personal frustrations.If you’ve struggled with something, odds are others have too—and that’s a startup.

🛠️ Freelancer sites expose automatable gigs: Platforms like Upwork and Fiverr are filled with repeatable services ripe for AI. Turning these into products reduces cost, scales output, and replaces manual labor.

🗣️ Communities speak louder than data: Reddit threads, Discords, and YouTube comments are full of people begging for tools.This is validated demand from real users—you just need to build what they’re asking for.

📉 Bad tools with loyal users are targets: Low-rated but high-usage plugins (like on Shopify or WordPress) point to unmet needs.Build AI-first versions with better UX and you can disrupt incumbents fast.

TL;DR: This tutorial shows how to combine the Froala rich text editor with Replit’s AI developer agent to create a seamless AI content writer. With a simple prompt and an OpenAI API key, you can generate, edit, and style SEO-friendly content in one responsive interface—no advanced coding or 3rd party tools required.

🧠 AI + editor = one seamless content workflow: ChatGPT is embedded directly inside the Froala editor for instant content generation. No more switching tools—just write, style, and polish in one place.

⚙️ Replit dev agents turn prompts into production apps: A detailed prompt is all it takes to spin up a full-stack app with Froala + ChatGPT. It’s a powerful glimpse at how AI is changing how we build software.

🧩 Froala’s editing tools are built for flexibility:You get advanced formatting, media embeds, tables, and custom buttons out of the box. It’s not just text—it’s a full-featured editor for marketers, bloggers, and creators.

🔐 Secure your API keys with built-in secrets: Replit’s secrets manager keeps your OpenAI key safe and out of public code. That’s a must-have for anyone shipping live AI apps.

📱 Responsive by default, extensible by design: Froala works across screen sizes and supports plugins for customized workflows. Whether on mobile or desktop, this tool scales with your content goals.

TL;DR: AI is no longer just hype—it’s now a practical engine for revenue if you know where to look. From selling workflows to building automation agencies, this video breaks down real, strategic ways to monetize AI tools, agents, and custom models in the years ahead.

🤖 AI agents are becoming paid labor replacements: Platforms like n8n let you build and sell complex automation workflows that businesses would rather buy than build. These can be monetized as templates, subscriptions, or workflow-as-a-service packages.

🧠 Chatbots are the new info product: Instead of selling static courses, creators are training AI chatbots with expert knowledge to deliver personalized answers at scale. Tools like Eightbase make it easy to manage knowledge bases securely and flexibly.

🔍 Fine-tuned AI models unlock niche goldmines: Developers are using platforms like Replicate to create highly specialized AI models and charge for API access. This lowers the technical barrier for customers while opening up recurring revenue streams.

🎮 “Vibe coding” is fast-track validation for founders: It’s a rapid, intuitive way to prototype AI apps based on gut instinct and early market feedback. While not a full strategy, it’s ideal for testing product-market fit before investing serious time or money.

🏢 AI agencies are filling the corporate implementation gap: Many companies want AI but don’t know how to deploy it—offering done-for-you automation services positions you as their bridge. As AI adoption rises, these agencies will become indispensable.