^{AI MARKET PULSE}
Two College Dropouts Built an 8-Figure AI App from a Homework Problem

Rudy Arora and Sarthak Dhawan dropped out of Duke and Northwestern this year to focus on Turbo AI, an AI-powered notetaking app they built as a side project. It now has 5 million users, eight-figure annual revenue, and 20,000 new signups daily. They've only raised $750K and have been profitable since launch. The idea? Solve their own problem — taking notes while paying attention in lectures. They built it, shared with friends, and it spread across Harvard, MIT, and beyond. Now professionals at Goldman Sachs and McKinsey use it too. Translation: while grads scramble for jobs that don't exist, two dropouts built a multimillion-dollar business solving a simple problem with AI.

Why it matters for you: This proves the path forward. Spot friction anywhere — your job, your gym, your kid's school — and build an AI solution with no-code tools. Turbo started as a classroom annoyance. Your opportunity could be automating your company's manual processes, building tools for freelancers in your industry, or creating AI assistants for local businesses drowning in admin work. Launch communities teaching people to build micro-SaaS with Bolt.new or Cursor, run "AI Product Sprint" challenges, or sell templates for common business problems. Arora and Dhawan aren't special — they just shipped. The barrier to building real products has disappeared.

Key Takeaways:

• 5M users, profitable: Two dropouts built eight-figure business in under two years with just $750K raised

• Simple problem, AI solution: Started solving their own note-taking frustration — now serves students and Fortune 500 professionals

• Execution over credentials: Proves you don't need degree or big funding to build AI-powered products people actually pay for

👉️ Read the full article here

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^{WORKFLOW BUILDER}
The Grok-Claude Combo Every Smart Operator Should Be Using

Goal: Use Grok to perform expert-level research on any topic, then have Claude transform that data into a complete, polished report, summary, or content artifact — ready to publish, present, or deliver to clients.

Steps:

1. Define Your Research Scope in ChatGPT
   Before diving in, clarify what you’re researching and why.
   Prompt ChatGPT: Role: Research Strategist. Task: Define a precise research plan for [topic]. Context: I’ll use Grok for data gathering. Output: A 3-step plan with search queries and goals for each phase.
   ➡️ Next action: Copy Grok-ready search queries into your notes.

2. Run Deep Research Using Grok
   Prompt Grok:
   Role: Expert Market Research Analyst
   Task: Conduct in-depth research on [insert topic], finding the most recent, credible, and actionable insights.
   Context: I’m building a detailed report using Claude, so I need up-to-date information from high-quality sources like news outlets, company blogs, press releases, and analyst reports.
   Output: Provide a structured summary including:

   1. Top Trends or Developments (3–5)

   2. Key Companies, Products, or Players

   3. Supporting Data Points or Stats with Source Mentions

   4. Notable Quotes or Expert Opinions

   5. Summary Paragraph (100–150 words) explaining why this topic matters right now..

3. Analyze and Organize with Claude
   Feed the raw Grok output to Claude.
   Prompt Claude: Role: Senior Research Analyst. Task: Organize and summarize the data into key insights and supporting evidence. Context: Input is from Grok research on [topic]. Output: A clean summary with clear structure — Overview, Key Insights, Supporting Data.
   ➡️ Next action: Ask Claude to rank insights by relevance or impact.

4. Turn Analysis into a Full Artifact
   Once Claude has summarized and organized your findings, ask it to create your final deliverable: a whitepaper, blog post, client report, or executive summary.
   Prompt Claude: Role: Expert Writer. Task: Turn these research insights into a full report for [target audience]. Context: Use professional tone, logical flow, and cite data sources. Output: Final draft (≈1,000 words).
   ➡️ Next action: Review tone and formatting for your use case.

5. Polish and Publish with AI Formatting Tools
   Run Claude’s final output through Notion AI or Canva Docs to reformat for publishing or client delivery.
   ➡️ Next action: Add headers, visuals, and brand styling before exporting.

Pro Tip (Upgrade):
Use Browse AI to automate source collection—train a robot in minutes to scrape competitor pages, pricing tables, or review sites on a schedule, then feed the CSVs straight into Claude for recurring updates and fresh insights.

Why It Works:
This workflow gives you deep, multi-layered research powered by Grok’s data depth and Claude’s structured reasoning. You get real-world insights turned into finished work in one seamless flow — perfect for creators, consultants, and analysts who want professional-grade output without hours of manual research.

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^{TODAY’S PROMPT}
The 24/7 Audience Engine Every Creator Needs

Most creators post everywhere but grow nowhere — scattered content, no system. The Audience Growth Flywheel flips that by turning every post, email, and video into a single connected loop. Instead of chasing algorithms, you build momentum: your X threads drive newsletter subs, your newsletter drives product sales, your products feed new social proof — and the cycle repeats. Whether you’re a solo founder, coach, or small-biz owner, this prompt helps you architect a growth engine that compounds attention, trust, and revenue automatically.

👉 Use the prompt + check out my example output here

Clear Ask:
Act as a digital growth architect.
Build a complete Audience Growth Flywheel that helps solopreneurs, creators, or small business owners grow a loyal audience fast — without spending a dollar on ads.
Each output must show how to turn one piece of content into a multi-platform loop that attracts followers, builds trust, and drives sales automatically.

Context & Purpose:
This is built for one-person brands ready to grow beyond word-of-mouth.
The goal: show how to turn your ideas, products, or expertise into a growth machine that never stops working — where your newsletter, social content, and CTAs feed each other in a loop of visibility → trust → sales → referrals.
The result: a repeatable system that grows your audience even while you sleep.

Input Requirements:
• Niche / Industry: [e.g., fitness, AI tools, productivity]
• Core Platform: [Newsletter, YouTube, X, TikTok, LinkedIn]
• Offer Type: [service, course, digital product]
• Ideal Audience: [target persona + what they want]
• Growth Goal: [followers, subscribers, customers]
• Time Commitment: [hours per week]
• Tone & Style: [motivational / tactical / step-by-step]

Instructions:
Structure (required order):
• Hook: Short line showing why most creators fail to grow and how this fixes it.
• Flywheel Overview: Explain the “one piece → multi-platform loop” concept.
• Core Channels: Define 3 key platforms and each role in the system.
• Growth Flow: Show how content moves between them and converts.
• Example Loop: Provide a working example (e.g., X thread → YouTube → newsletter → digital product).
• Automation & Scale: Add AI or workflow tools that keep it running 24/7.
• Final CTA: One next action to start building today.

Voice & Language: energetic, practical, no jargon.
Formatting: markdown sections with short, high-impact sentences — built to inspire action.

Key Guidance for ChatGPT:
• Focus on one-person leverage, not big-team systems.
• Include at least one automation that saves time.
• Use real-world examples creators can recognize.
• Make it feel like a playbook — not a lecture.

Output-Lock (Quality Control):
✅ All 7 sections complete
✅ Each platform + loop clearly connected
✅ Tone = energetic, practical, empowering
✅ Copy-ready, no placeholders

End with:
Word Count: [X] | All Checks ✅

Fix-It-Fast Command (for readers):

“Regenerate with a 7-day action plan to build my Audience Flywheel using YouTube, X, and my newsletter — with automation tools included.”

Result:
Always produces a plug-and-play system for creators and solopreneurs to turn content into a self-feeding audience engine — growing trust, traffic, and sales without relying on algorithms or ads.

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^{AI SPOTLIGHT}
Amazon’s Next Workforce: 75% Robots by 2027

OpenAI just made a bold move into everyday computing. The company acquired Sky, a Mac-based AI assistant that can literally see your screen and take actions inside your apps — writing, planning, coding, and more. Built by the same team that created Workflow (later acquired by Apple and rebranded as Shortcuts), Sky acts like a floating co-pilot that works alongside you in real time.

The deal was led by ChatGPT’s product team and signals OpenAI’s intent to go beyond chat — straight into agentic AI that can operate across your desktop. Apple, meanwhile, is still pushing its privacy-focused “Apple Intelligence,” which could put the two companies on very different paths as AI moves deeper into personal computing.

Key Takeaways:

• Sky lets OpenAI’s AI watch your screen and perform actions across Mac apps.

• Created by the Workflow → Apple Shortcuts team, now joining OpenAI.

• Could accelerate agentic AI — but raises big privacy and trust concerns.

My Take:
This feels like the start of something huge. OpenAI just stepped out of the browser and into your daily workflow. If Sky delivers on its promise, it could redefine how we use computers — and finally make AI feel like a true digital co-worker.

👉️ Read the full article here

^{AI QUICK HITS}

⚡️ Anthropic just struck a massive deal with Google to use up to one million of its AI chips—worth tens of billions of dollars—by 2026, giving the Claude maker over one gigawatt of compute power to train its next-gen models as it battles OpenAI and others in the race for advanced AI dominance.

🎙️ Reddit just sued Perplexity and several data-scraping firms, accusing them of illegally harvesting Reddit content through Google search results to train AI models and build a $20 billion company without paying for the data—a move Reddit likened to “breaking into the armored truck” after being locked out of the vault.

📕 Meta has laid off about 600 employees from its AI division in a move to streamline what insiders called a “bloated” unit, as CEO Mark Zuckerberg consolidates power under new AI chief Alexandr Wang, whose elite hires at Meta’s Superintelligence Labs were spared — signaling a clear shift toward Wang’s vision and tighter control of Meta’s multibillion-dollar AI strategy.

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🤔 ^{Which image is real?}

One of these images is real, and one was created with AI. Vote for which one you think is real, and tell us why you voted that way.

The last edition’s results—59% were right!

Did you vote in the poll from October 22nd? The top image was real! Go back and see the photos here. So what do you think? Are you getting better at spotting AI vs. not?

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