I Built an App with Cursor and Made $100K on Launch Day

Alex Finn

• Background and origin story
  • Led a team of technical consultants at MongoDB while building a personal system for tracking tweets in spreadsheets to optimize content.
  • Grew a large X/Twitter audience by breaking down and explaining the open‑source X algorithm in a viral thread.
  • Quit his 9‑5 after building an audience and decided to build a product he could launch independently.
• Pivotal moments and turning points
  • Discovered Cursor in August 2024 and realized he could build enterprise‑level software alone using AI.
  • Built a working prototype of Creator Buddy on day one and iterated with community feedback for six to seven months.
  • Launched publicly on January 24th and reached $100,000 ARR within 15 minutes and $200,000 ARR within 2 hours.
• Business growth, current status, or exit details (only if discussed)
  • Grew to nearly $300,000 ARR and almost 500 active paid subscribers within two weeks of launch.

Products and Offerings

• Core product(s) and what each one does
  • Creator Buddy: An AI content app that automatically pulls in X/tweets and uses an AI model to coach users on creating better content.
• Supporting tools, side projects, or experiments mentioned
  • Cursor and Windsurf: AI‑powered development environments used to build the product.
  • ChatGPT: Used as a product manager and to break feature ideas into micro steps before building in Cursor.

Metrics and Financials

• Revenue figures, user counts, and financial milestones
  • $100,000 ARR within 15 minutes of launch.
  • $200,000 ARR within 2 hours of launch.
  • Nearly $300,000 ARR and ~500 active paid subscribers within two weeks.
  • ~$25,000 monthly revenue with ~$5,300 in monthly software and API costs.
• Software costs and resource efficiency
  • Approximately $5,300 per month total, including hosting, data, email, and AI API usage.
  • Maintains ~80% gross margins despite high X API costs.
• Exit or acquisition specifics (if explicitly stated)
  • Not discussed.

Strategy and Growth

• Overall vision and positioning
  • Build software that solves personal challenges and share it with an existing community.
  • Treat distribution and audience trust as the primary competitive moat.
• Primary growth engine or method
  • Leveraged a large, engaged X/Twitter audience built over three years of consistent content creation.
• Key tactics, channels, or strategic steps
  • Beta tested with ~150 subscribers and met with each individually to refine the product.
  • Announced launch publicly and spent launch day engaging live audiences on X Spaces.
  • Focused on rapid iteration based on real user behavior and feedback during beta.

Tech Stack and Infrastructure

• Tools, platforms, and technical approaches referenced
  • Cursor and Windsurf for AI‑assisted development.
  • Next.js for the application framework, hosted on Vercel.
  • Supabase for data storage and backend services.
  • Resend for email delivery.
  • Claude, ChatGPT, and other AI APIs for product features.
• Notable technical decisions, trade‑offs, or architecture choices
  • Chose Supabase for simplicity and ease of use.
  • Accepted high X API costs to access tweet data essential to the product.

Lessons and Advice

• Direct advice given to other founders
  • Break problems into the smallest possible steps when prompting AI to avoid bugs and accelerate delivery.
  • Consistently create content and take small actions daily, even while working a full‑time job.
• Hard‑won insights and key takeaways
  • Shift mindset to “figure it out” mode instead of outsourcing every challenge.
  • Distribution and community are stronger moats than product or knowledge alone.
  • Building in public and iterating with real users is faster and safer than aiming for perfection.