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From Zero to $42K/Month in 90 Days with AI
By building a waitlist of 1,800 signups before writing a single line of code, Sajila Mazafir (CJ) launched Code Guide—a documentation tool designed to reduce AI coding hallucinations—and scaled it ...
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From Zero to $42K/Month in 90 Days with AI

TL;DR

By building a waitlist of 1,800 signups before writing a single line of code, Sajila Mazafir (CJ) launched Code Guide—a documentation tool designed to reduce AI coding hallucinations—and scaled it to $42,000 MRR in just 90 days.

The Founder’s Story

After moving to Canada in 2018, Sajila Mazafir (known online as CJ or CJZ) found himself miserable working standard 9-to-5 corporate jobs. Determined to forge his own path, he ran an MVP agency and spent years building various software and agency businesses. In late 2024, realizing the explosive back-end growth of AI coding, he publicly committed to a challenge: building 12 startups in 12 months.

He spent 10 to 12 hours a day coding and prompting with AI tools. While 10 of his 11 built projects collapsed, his 11th product, Code Guide, exploded into a massive success, transforming his seven years of online hustle into an “overnight” success story.

The Building Process

CJ originally conceived the idea for Code Guide to solve his own agency’s operational bottleneck. For each project, he spent 9 to 10 hours chatting with ChatGPT to draft technical documentation and build a “knowledge base” to feed into AI code editors. He automated this sequence using Make.com, successfully compressing a 9-hour workflow down to 2 hours.

Recognizing the potential value, he immediately built a landing page in 20 minutes using Bolt to run a “smoke test.” After a screen-recorded workflow demo went viral on X, generating 1,800 waitlist signups in two weeks, he knew the concept was validated. CJ mapped out the front-end design over 3 days, then partnered with a backend developer friend to launch the responsive web application in just 2 weeks. They remain a lean, high-margin team of two.

Launch & Marketing Strategy

  • Tutorial Marketing: CJ’s core user-acquisition engine is what he calls “Tutorial Marketing.” Four times a week, he writes highly detailed Twitter/X threads, supplemented by three long-form posts. These tutorials outline a highly specific AI development challenge (e.g., stopping AI coding hallucinations) and map out a step-by-step blueprint to solve it using Figma/Canva graphics. He then positions Code Guide as a vital component of that solution. This actionable, bookmarkable content builds trust and scales virally.
  • Organic Twitter Funnel: By directing viral tutorial traffic to his waitlist landing page and capturing email addresses, CJ converted his first 100 paying customers without spending a single dollar on paid ads.
  • High-Margin/No Trials Model: Since Code Guide leverages expensive, state-of-the-art LLMs, CJ bypassed free trials to protect cash flow. Instead, he charges a $29/month subscription (scaling to $39–$49/month) or offers an annual plan at a 40% discount, sweetening the deal with official partnerships with top AI tools (Cursor, Windsurf, Bolt, Lovable).

Tech Stack

  • Frontend: Next.js
  • Backend & Database: Supabase (PostgreSQL for database and storage, costing $25/month)
  • IDE & AI Tools: Cursor ($20/month) and Windsurf ($15/month) as AI IDEs; Claude (specifically Claude 3.7 model via a $20 subscription for UI components); Bolt/Bolt.new for rapid landing page scaffolding; Make.com for early workflow prototyping
  • Hosting: Vercel ($48/month)
  • Storage: Hetzner ($25/month)
  • APIs: OpenAI API ($2,800/month), Claude API ($300+/month), Gemini Flash API (free)
  • Authentication: Clerk Dev
  • Email Marketing: ConvertKit ($45/month)

Key Quotes & Metrics

  • Monthly Recurring Revenue (MRR): $42,000 within 90 days (scaling from $17,000 MRR in just 49 days)
  • Developer Community: 4,800+ AI developers
  • Total Operating Costs: ~$3,500/month
  • “English is the hottest programming language right now. So all you need to do is use AI for research, write code, write content, and distribute.”
  • “In the hook you actually talk about the problem, show them the exact blueprint, and position your SAS in between as a part of the solution. That’s bookmarkable content.”

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