I built a $25K MRR app with Cursor

Quick Overview

Hasaam Bhatti, a non-technical Amazon FBA seller, rapidly built his first AI-powered SaaS product, LaunchFast, in 48 hours using Cursor as his AI coding assistant, achieving $20,000 in Monthly Recurring Revenue (MRR) within 90 days by leveraging his existing domain knowledge in e-commerce and Amazon FBA.

Key Points: Hasaam built LaunchFast, an AI product research tool for Amazon FBA sellers, in just 48 hours using the AI code editor Cursor. The tool reached $4,120 MRR by day 10, $10,563 by day 30, and $20,000 MRR by day 90. Hasaam leveraged his existing domain knowledge from running Amazon FBA businesses to identify and solve real pain points, rather than hunting for general ideas. His development playbook involved: 1. Solving his own problem, 2. Finding a distribution channel (partnering with LegacyX), 3. Deep diving on user pain points via Reddit/X/Meta, 4. Building the MVP with the highest ROI/easiest implementation feature, and 5. Shipping daily improvements based on user feedback. The core tech stack included Cursor ($20/mo) for coding, Vercel ($20/mo) for deployment, and Supabase ($10/mo) for the database. Hasaam explicitly traded equity (up to 50% of $20k MRR value) with LegacyX for immediate distribution access to their audience of Amazon sellers.

Context: The video features an interview between the host (Pat Walls of Starter Story) and Hasaam Bhatti, the solo founder of LaunchFast, an AI-powered Software as a Service (SaaS) tool designed to simplify Amazon product research for FBA sellers. Hasaam transitioned from being a frustrated Amazon seller buried in spreadsheets to a full-stack founder by aggressively utilizing AI tools, specifically Cursor, to overcome his lack of formal coding experience.

Detailed Analysis

Hasaam Bhatti details his rapid journey from a frustrated Amazon FBA seller to a successful solo founder of the AI SaaS product, LaunchFast, which achieved $20,000 MRR in 90 days. He credits his speed and success to leveraging his deep domain knowledge in e-commerce and applying a focused 48-hour build strategy using AI tools. His initial idea stemmed directly from his pain point of manually researching FBA products for 20-30 hours a week. The development followed a strict 6-step playbook: 1. Solve your own problem (don't hunt for ideas). 2. Find a distribution channel, which he secured by partnering with the coaching company LegacyX, trading equity for immediate access to their audience. 3. Deep dive into user pain points using platforms like Reddit, X, and Meta. 4. Build the Minimum Viable Product (MVP) focusing only on the single feature with the highest ROI potential and easiest implementation. 5. Find distribution partners who already have access to the target audience (e.g., coaching companies, communities). 6. Ship daily improvements based on real user feedback. The entire 48-hour build utilized an AI-friendly tech stack costing about $50 monthly (Cursor, Vercel, Supabase, Resend), demonstrating that deep domain expertise is more valuable than formal coding skills when paired with modern AI tools.