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Hey builders 👋 It feels like the gap between having an idea and actually shipping it is disappearing. Agents are building other agents, beginners are vibe coding apps in an afternoon, and solo founders are hitting $10K months without teams or investors. The pattern’s pretty clear: small, fast bets are beating big, overplanned visions.

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In this issue:

  • Replit’s Agent 3 takes a big step toward autonomous software engineering 👨‍💻

  • 18 AI side hustles indie hackers can actually build 🤑

  • The rise of “vibe coding” & what it means for non-technical founders 🚀

  • How one founder hit $10K MRR in 5 months with zero ads 📈

  • A solopreneur blueprint for $10K/month using AI + cold outreach 🎉

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News

Replit’s Agent 3 can build apps (and other agents)

TL;DR: Replit just dropped Agent 3, its most autonomous coding assistant yet. It doesn’t just write code, it tests, fixes, deploys, and now builds other agents and automations. With up to 200 minutes of unsupervised runtime, Agent 3 moves Replit closer to a true AI software engineer.

  • Agent 3 introduces in-browser app testing and bug fixing, meaning it doesn’t just generate code, it validates functionality and repairs issues autonomously.

  • Max Autonomy mode lets it run long sessions (over 3 hours), create and manage its own task lists, and monitor its own progress.

  • Most notably, Agent 3 can now build and deploy other agents (like Slack bots, Telegram integrations, or Notion workflows), all via natural language.

  • The new app flow supports both rapid frontend prototyping and full-stack deployment—depending on how fast or deep you want to go.

Giving non-technical builders the ability to spin up full workflows across platforms (e.g. Slack, Linear, Notion) without writing code shrinks the gap between idea and execution. For founders, this could change how entire MVPs are scoped and shipped.

Startup Ideas

18 AI side hustles worth stealing

TL;DR: In a packed conversation, Nick and Pete riff on dozens of AI-enabled business ideas, from a voice-to-calorie tracker to broken-link detection for YouTube. They focus on practicality, low barrier to build, and real-world pain points. This is idea fuel for builders looking for edge and execution-ready opportunities.

  • Always test demand with community queries and keyword tools before building (Reddit and Ahrefs are goldmines for signal).

  • Use AI to compress 5-day builds into 5-hour prototypes. But don’t skip the UI—presentation still drives perception.

  • Treat AI as glue, not the product. Focus on end-user outcomes, not showing off the model.

  • Monetization doesn’t have to be SaaS. Email courses, paid communities, and lead-gen tools often scale faster and cheaper.

This chat shows how low the bar is now to turn a pain point into a working tool. The best ideas are simple fixes for real problems, shaped by user demand and built fast enough to stay relevant. It’s a reminder that the edge isn’t in bigger models or grand visions, but in noticing small frictions, validating quickly, and packaging solutions in a way people actually use.

Vibe Coding

Learn to vibe code in 90 minutes

TL;DR: Riley breaks down how beginners are using tools like Claude Code, Codex, and Gemini to build full-stack apps—without writing a line of code. From static landing pages to mobile apps with auth, databases, and AI integrations, “vibe coding” is the name for this emerging, AI-native way to ship software.

  • Context engineering is a core skill: clearing or compressing model chat history keeps responses accurate and apps stable.

  • Mobile-desktop sync (via the Vibe Code app) enables real-time app previews—ideal for rapid iteration and testing.

  • API integrations aren’t just for devs anymore; vibe coders are wiring up Google’s Nano Banana for image editing with zero backend.

  • Deployment still takes setup, App Store accounts, permissions, and tokens are part of the flow, but fully guided.

Vibe coding isn’t just faster shipping, it collapses the cost of experimentation. When the build cycle drops from weeks to hours, the real advantage becomes how many bets you can place before anyone else moves. This shifts product strategy: roadmaps matter less than feedback loops, and the winners will be those who can spin up, test, and discard ideas at scale—not just ship the fastest single app.

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Founder Story

How one founder bootstrapped an AI SaaS to $10K/month in 5 months

TL;DR: Joseph, co-founder of Setter AI, built a profitable AI appointment-setting business in under five months using an MVP-first mindset, lean infrastructure, and organic marketing. His journey shows how solo founders can use AI as leverage, validate fast, and skip the expensive startup playbook.

  • Sold a $500 pre-sale before writing any real code—just a landing page and demo.

  • Found his co-founder in a Bali coworking space, proving in-person serendipity still beats cold DMs.

  • Used long-form YouTube and SEO as the primary growth engine—zero ad spend required.

  • Keeps ops lean with a serverless stack, <10% costs, and AI tools like Cursor to accelerate dev and brainstorming.

Joseph’s path shows you don’t need a big team or investor money to hit profitability. He sold first, built later, and used content plus AI to keep growth and costs efficient. It’s a clear example of the modern SaaS playbook: validate with real dollars, keep overhead tiny, and only scale once you know there’s demand.

Grow your business

The solopreneur blueprint for hitting $10K/month

TL;DR: Lee Mley, who’s made over $7M from AI businesses, lays out a practical roadmap for building a one-person automation agency using no-code tools, cold outreach, and AI as digital labor. The model targets local businesses, keeps overhead near zero, and aims for $10K/month with just four clients.

  • The “solo trifecta” (PC, internet, and now AI) gives individuals unprecedented leverage to build wealth solo.

  • $10K/month isn’t hype: four $2.5K clients is the whole model. No unicorn dreams, just execution.

  • Cold email beats ads for early-stage founders, fast, free, and perfect for testing offers in days.

  • AI does more than assist, it replaces admin work, sales ops, and even product delivery in this model.

Most people overcomplicate entrepreneurship. Lee’s blueprint reframes it: pick a niche, solve one painful problem with AI, and scale yourself out of the process. This is the kind of clarity that turns would-be founders into revenue-generating solopreneurs.

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