Blog
All articles

Tutorial Marketing on X: The Strategy Behind Code Guide’s $42K MRR Growth

·6 min read

Learn how CJ grew Code Guide to $42K MRR using Tutorial Marketing on X. Discover the content-audience fit framework and 4-3 posting schedule for organic growth.

Imagine building a software product in just 14 days and watching it skyrocket to Monthly Recurring Revenue (MRR) of $42,000 within just three months. This isn’t a Silicon Valley fever dream; it is the reality for Sajila Mazafir, known as CJ on X. By leveraging a framework he calls ‘Tutorial Marketing,’ CJ transformed Code Guide from a simple idea into a business generating over $500,000 in Annual Recurring Revenue (ARR) without spending a single dollar on paid advertisements.

In a recent interview with Pat Walls at Starter Story, CJ broke down the exact mechanics of how he used organic social media growth to validate his product before writing a single line of code. This guide explores the strategy of tutorial marketing and how you can apply it to your own SaaS or creator business.

Defining Content-Audience Fit: The Precursor to PMF

Most founders obsess over Product-Market Fit (PMF). They build in a vacuum, launch to crickets, and then wonder why nobody is buying. CJ flipped this script by focusing on Content-Audience Fit first. Before Code Guide existed, CJ was a member of the Starter Story community, studying how others succeeded. He realized that if you can capture an audience’s attention with high-value content, the product essentially builds itself around their feedback.

CJ didn’t start with a winning idea. He committed to building 12 startups in 12 months. Ten of those projects collapsed. However, because he was publicly documenting his experiments on X, he was building an audience of AI developers and "vibe coders" who were hungry for solutions to specific technical hurdles.

Key takeaway: Don't build the solution until you've validated the struggle. CJ gathered over 1,800 waitlist signups using a landing page built in 20 minutes on Bolt before he ever started the backend.

The 4-3 Content Schedule: A Playbook for Maximum Reach

Consistency on X is often misunderstood as "posting more." For CJ, it was about a specific rhythm designed to satisfy both the algorithm and the human reader. He follows a strict 4-3 Content Schedule to maintain visibility and authority in the AI coding niche.

Content TypeFrequencyPrimary Goal
Twitter Threads4 per weekVirality, reach, and detailed education.
Long-form Posts3 per weekBuilding authority and deep-diving into niche problems.
Direct ResponseDaily (Comments)Converting interested readers into waitlist signups.

This schedule ensures that every day of the week, CJ is providing value. By using tools like Canva and Figma to design high-quality visual assets, his posts stand out in a crowded feed. This visual storytelling is a cornerstone of his tutorial marketing strategy.


The Anatomy of a Viral Tutorial

What makes a tutorial go viral? It isn’t just the information; it’s the positioning. CJ identifies three critical components that every successful tutorial post must have:

  1. The Hook: Address a painful, specific problem. For CJ, this was AI hallucinations in tools like Cursor AI.
  2. The Blueprint: Provide a step-by-step manual solution. Show the reader exactly how to solve the problem for free using their current tools.
  3. Product Positioning: Introduce your product as the automation layer for that solution.
"You position your SAS in between as a part of the solution. That type of content performs really well because it’s bookmarkable and shareable."

By giving away the "blueprint" for free, you build radical trust. When readers see that you genuinely understand their workflow, they are far more likely to pay for a tool that saves them the seven hours of manual work CJ describes in his own journey.

Creating 'Bookmarkable' Content for the X Algorithm

The X algorithm has shifted significantly. While likes and retweets still matter, bookmarks are now a primary signal for quality. Tutorial marketing is uniquely positioned to exploit this because users save tutorials to refer back to them later when they are actually doing the work.

When a post gets hundreds of bookmarks, X views it as high-utility content and pushes it to a wider audience. This is how CJ managed to get 400 retweets and 300 signups from a single screen-recording demo. He wasn't just "marketing"; he was providing a utility that people felt the need to save for later.

As your audience grows, managing these relationships becomes a full-time job. While CJ focuses on X, many growth teams use platforms like Stormy AI to discover other niche creators who can amplify these tutorials, ensuring the distribution reaches every corner of their target market.


Using Analytics to Double Down on Distribution

CJ’s growth wasn't just luck; it was a feedback loop. He spent 10 to 12 hours a day "vibe coding" and observing which of his technical insights resonated most with his audience. He would then take those high-performing insights and turn them into dedicated product features.

His tech stack reflects this lean, data-driven approach. He uses Vercel for deployment and Supabase for his backend, allowing him to ship updates based on user feedback in real-time. By monitoring which tutorials drove the most traffic to his Beehiiv or ConvertKit email lists, he knew exactly where to focus his development energy.

Key takeaway: Your social media feed is your most valuable research laboratory. Use the data from your posts to decide what to build next.

Scaling Your Reach with Creator Partnerships

Once you have a winning tutorial format, the next step is distribution at scale. CJ achieved $42K MRR through his own profile, but for many brands, the next level of growth comes from getting other creators to share your tutorials. This is where modern influencer discovery tools become essential.

Rather than manually searching for partners, tools like Stormy AI allow you to search for "AI developers in Canada" or "vibe coders on TikTok" using natural language. This makes it easy to find micro-influencers who can run your tutorial marketing playbook for their own audiences, creating a massive web of organic traffic.

The Tech Stack of a $42K MRR Startup

Running a high-growth AI startup requires a robust but cost-effective stack. CJ’s transparency about his costs provides a blueprint for other solo-founders and small teams.

CategoryToolMonthly Cost
InfrastructureVercel & Supabase~$75
AI IntelligenceOpenAI API$2,800
Coding EnvironmentCursor AI$20
Auth & EmailsClerk & ConvertKit~$100
Total OpExMultiple Tools~$3,500

With $42,000 in revenue and only $3,500 in operating expenses, Code Guide enjoys massive margins. This is the power of organic social media growth; when your user acquisition cost (CAC) is effectively zero, your business becomes an incredibly efficient cash-flow engine.

Conclusion: The Future of Vibe Coding and Marketing

CJ’s story proves that the barrier to entry for building a successful software business has never been lower. By becoming AI-native and mastering the art of tutorial marketing, you can validate ideas in weeks rather than months. The key is to stop selling and start teaching.

If you are looking to emulate this strategy, start by identifying the hallucinations or friction points in your niche. Build a tutorial that solves it, post it with a clear 4-3 schedule, and use the engagement data to guide your product development. In the world of 2024 marketing, the educator is the one who ultimately wins the market.

Find the perfect influencers for your brand

AI-powered search across Instagram, TikTok, YouTube, LinkedIn, and more. Get verified contact details and launch campaigns in minutes.

Get started for free