<p><b>Startup description</b></p><p>This app helps consultants, analysts, and other research-heavy professionals turn ChatGPT Deep Research output into polished documents they can actually share with clients or stakeholders. Users can export to PDF or editable Word, preserve images, tables, and clickable footnotes, and customize the final output with logos, fonts, font sizes, and margins. The product solves the tedious last-mile problem between raw AI research and professional deliverables, reducing manual cleanup and making reports faster to produce, easier to reuse, and more presentable.</p><p><b>Key highlights:<b></b></b></p><ul> <li>Annual revenue: $7,000</li> <li>Annual profit: $6,592</li> <li>Churn rate: 10.7%</li> <li>LTV: $140</li> <li>CAC: $0</li> <li>Business margin: 93%</li> <li>Customers: 24</li> </ul> <p><b>Team</b></p><p>I am the sole operator handling all roles and responsibilities. This includes maintaining the codebase for the app and responding to support tickets.</p><p><b>Tech Stack</b></p><p>The product is built with TypeScript, React, Next.js, and Node.js. It is deployed on Vercel, uses Supabase for authentication and database functionality, and Stripe for subscriptions and payments. The workflow also includes a Chrome extension for extracting and preparing ChatGPT research content, plus a server-side export pipeline for generating branded PDF and editable DOCX documents.</p><p><b>Marketing and growth</b></p><p>There hasn't been any active marketing for almost a year. Most traffic is direct from SEO or word of mouth.</p><p><b>Return on investment</b></p><p>Within a year, an investor can get their money back and potentially some profit by making a few changes. The biggest revenue opportunity is expanding the product from a strong single workflow into a broader professional export platform. Today, it performs well for AI report export, but revenue would grow materially by supporting more source formats, improving handling of richer content like diagrams and complex layouts, and adding higher-value features such as team accounts, reusable templates, white-label exports, shared brand settings, and workflow integrations.</p><p>On the profitability side, further reducing edge-case failures and support overhead would improve margins. In practical terms, the main unlock is turning a useful export tool into a more embedded, higher-retention workflow product for professionals and teams.</p><p><b>Startup assets<b></b></b></p><ul> <li>Full codebase logic</li> <li>Over 15,000+ user generated data points in the database</li> <li>Domain, IP, Brand, Copyright, Website</li> <li>Chrome extension code logic and app</li> <li>Full customer base</li> </ul> <p><b>Risks</b></p><p>The main challenge is ensuring that the code parsing logic for both the app and extension is up to date with the outputs from the AI report exporting UI. To mitigate this, I recommend at least a bi-monthly manual check of the report generation format, then adjusting the code accordingly if there have been any major changes.</p><p><b>Summary</b></p><p>Overall, this app is a focused AI workflow product with clear niche demand, simple monetization, and visible room for growth. The business is profitable, has high margins, and serves a predominantly U.S. customer base. It has remained resilient despite minimal maintenance, no meaningful marketing, limited support, and known product gaps. Publicly visible traction includes 15,000+ reports generated and an active paid subscription offering, demonstrating both real usage and willingness to pay.</p><p>The business is also under-optimized, giving a buyer several clear levers for upside: reducing non-essential costs, improving onboarding and conversion, sharpening positioning around its strongest differentiators, fixing product gaps, and using existing usage data to improve retention and expansion.</p><p>✅ $7,000 in ARR</p><p>✅ 24 customers</p><p>✅ Business model: SaaS</p><p>✅ Built with TypeScript, JavaScript, Next.js</p>