GM readers 👋 This week’s issue dives into Zoom’s ambitious plan to clone your face for meetings, Lindy’s move to full-stack agent control, and how builders are stacking small bets into serious income. You’ll learn how to grow an AI agency from scratch, mine cash flow from local niches, and scale a mobile app without touching code. Let’s get into it.
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In this issue:
Zoom’s launching AI avatars that mimic you 🎭
Lindy 3.0 turns prompts into full AI agents 🤖
Make $30K/month with local lead gen 📍
Quit vaping app hits $44K MRR with TikTok 📈
How one founder hit $100K selling AI automations 🛠️
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News
Zoom’s AI clones are coming to your meetings

TL;DR: Zoom just announced it’s rolling out photorealistic AI avatars in December that mirror your real-time expressions—even when you’re not camera-ready. These digital clones can be customized with professional outfits, authenticated via your live camera, and flagged as avatars during calls. It’s a step toward Zoom’s longer-term goal: AI agents that fully attend meetings and handle communication on your behalf.
Users upload or snap a photo to generate a lifelike avatar that mimics facial movements and gestures in real time.
AI avatars will only work if authenticated via your camera feed, and in-meeting indicators will signal that you're using one.
Zoom’s broader AI roadmap includes real-time voice translation across 9 languages and a cross-platform AI assistant for note-taking and scheduling—even in Teams or Meet.
CEO Eric Yuan has floated a future of "digital twins" that attend meetings, send emails, and act autonomously using your likeness.
Zoom’s leaning hard into an AI-mediated workplace where your virtual presence does the talking. For founders and remote teams, this could mean fewer Zoom fatigue days—and eventually, offloading entire meetings to AI agents trained on your tone, style, and context. But it also raises serious questions about trust, identity, and presence in digital workspaces.
AI Startup Idea
From zero to AI agency: What Lindy 3.0 unlocks for builders

TL;DR: Lindy’s latest update turns natural language prompts into fully functional AI agents that can run entire business workflows—from lead gen to payments—without code or APIs. With its “computer use” feature, agents can now control web apps directly, making it the most accessible and flexible AI automation platform yet. If you’re building an AI agency or automating internal ops, this changes the game.
You can now create agents by simply describing what you want them to do—no tech background needed.
“Computer use” lets these agents simulate mouse and keyboard actions across any browser-based tool, unlocking automation for legacy and API-less platforms.
Real-world use cases include AI SDRs, personal CRMs, recruiting automations, and full-funnel outreach—with some users charging $1–5K/month for AI agency services.
Compared to tools like N8N, Lindy is designed for speed and simplicity, favoring business users and domain experts over developers
The infrastructure for autonomous businesses is being built right now, and Lindy is one of the clearest paths in. If Zapier was the bridge to no-code SaaS stacks, Lindy is that bridge for AI agents. For founders, indie hackers, and consultants, this means building operational leverage and recurring revenue without hiring or managing dev teams. The next wave of solopreneurs will look less like freelancers—and more like one-person AI enterprises.
Boring Business Playbook
The AI playbook for printing money with “boring” local businesses

TL;DR: James (“The Boring Marketer”) lays out a step-by-step method for finding profitable, overlooked local niches using AI and scraped Google Maps data. Instead of competing in saturated markets like HVAC or plumbing, he targets micro-niches in tier 2–3 cities, then builds media-led lead gen funnels—no expertise required. One example? A mobile diesel mechanic business scaled to $30K/month using this exact approach.
Scrape Google Maps data (reviews, sentiment, competition) to identify underserved high-ticket niches like garage remodeling or cosmetic dentistry.
Use AI to synthesize market signals and create local media properties (e.g. newsletters or directories) that attract and convert leads.
Sell leads to local service providers without running the service business yourself—just own the demand.
Host AI workflows cheaply via VPS providers like Hostinger to boost margins and scale without SaaS limits.
This flips the traditional “start a service business” model on its head. Instead of owning fulfillment, you own the attention and leads. It’s a low-cost, scalable path for solo founders to tap into real-world cash flows using AI. The arbitrage here isn’t just the niche—it’s using modern tools to out-execute legacy players who don’t even know what Zapier is.
AI Agents That Cut Support Costs By Up To 80%
AI Agents Designed For Complex Customer Support
Maven AGI delivers enterprise-grade AI agents that autonomously resolve up to 93% of support inquiries, integrate with 100+ systems, and go live in days. Faster support. Lower costs. Happier customers. All without adding headcount.
Founder Story
From 0 to $44K MRR: How Puff Count scaled with TikTok and a spreadsheet

TL;DR: Steven, the founder behind Puff Count (a quit vaping app), shares the exact marketing-first playbook he used to grow to $44K/month MRR and exit—all without writing a single line of code. His three-phase framework—market research, organic content, and paid scaling—was driven by TikTok trends, daily posting, and sharp funnel tracking.
He validated demand by scraping TikTok for viral content in the “quit vaping” niche and breaking down hooks, storylines, and CTAs in a spreadsheet.
Grew Puff Count to 120K followers and 50M+ organic views before spending a dime on ads.
Used a creator marketplace (Posted) to outsource high-performing content for $40–$110 per video, then scaled using paid ads with a 3:1 LTV:CAC ratio.
Paid $82K total in ads, with a $20–$24 CAC and $55–$70 LTV, while tracking everything via tools like Superwall and RevenueCat.
Most indie apps fail because they start with product. Steven started with marketing. His system is repeatable, data-driven, and built for solo founders. TikTok isn’t just for dancing teens, it’s a goldmine for demand validation and growth if you understand the game. If you're building a mobile app in 2025, this playbook isn’t optional, it’s foundational.
Tutorial/Framework
The solo founder roadmap to $100K in AI automation services

TL;DR: Michael Kelly bootstrapped his way from $0 to $100K in his AI automation agency by mastering one tool (Make.com), leveraging warm intros for early clients, and going deep on LinkedIn content. His journey is a tactical blueprint for anyone starting with no money, no team, and no code, just skill stacking and consistent outreach.
He narrowed focus to workflow automation (via Make.com), treating it as a “meta skill” that links different AI systems together.
Landed his first clients through warm outreach and job boards, offering free projects to build case studies and trust.
Prioritized 1:1 setup calls over async onboarding to reduce friction and build credibility with non-technical clients.
Grew his pipeline by committing to one platform—LinkedIn—and using educational, niche-specific content to attract leads at scale.
Michael didn’t try to “build a SaaS” or chase shiny GPT wrappers. He picked a narrow problem, built technical fluency in a core tool, and turned attention into income. For builders eyeing AI services, this model proves you don’t need funding or a big audience to win. You need reps, clarity, and one strong distribution channel.
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