Eden Assistant - Sell Project

Startup description What does your project do, and how did you start it? Eden Assistant is a desktop application that provides ERP support teams with an AI-powered knowledge base and intelligent query system powered by Google Gemini API. The tool helps support specialists quickly access documentation, answer customer questions, and improve response times. Key features include ticket standardization, automated knowledge base search, integration with Gemini for intelligent responses, and a custom-built interface using Python and CustomTkinter. The application started in January 2024 as an internal tool to improve support efficiency in ERP environments. The software has proven to reduce support ticket resolution time by enabling rapid knowledge base searches and providing AI-assisted answers to common questions. It operates as a standalone desktop application with no monthly subscriptions or external dependencies beyond the Gemini API. Key highlights: Annual revenue Annual profit Churn rate LTV CAC Business margin Other important metrics specific to your app/SaaS/project Team Who is doing the job behind your startup, and what are their Solo developer - responsible for full-stack development, architecture, documentation, and product management. Currently working to create a production-ready version for market release.responsibilities? Tech Stack What technologies and frameworks did you use, and for what? Python 3.10+ with CustomTkinter for UI, Google Gemini API for intelligent query processing, SQLite for local knowledge base storage, Windows/Linux compatible with planned macOS support Marketing and growth What were your main growth activities, and what were their Product launched as internal tool; currently marketing through GitHub, ERP community forums, and direct outreach to support teams in Brazilian companies. Beta testing with initial users shows positive feedback on productivity improvements.results? Revenue and profit Everything related to the financials of your project (ARR/MRR, profit, CAC, LTV, Retention, Churn, GMV, and other important Currently pre-revenue, focused on MVP completion and beta user validation. Planned monetization model: one-time purchase license ($29-99), SaaS premium tier ($9/month) with cloud sync and advanced features. Estimated first revenue expected within 3 months after market launch based on target market feedback.metrics based on your project type). Return on investment What is the payback period, and how buyers can achieve it? At entry-level licensing ($29), payback period is 1-2 months for buyers acquiring at $2500 cost through organic growth expectations. Premium tier ($9/month) provides recurring revenue potential. Typical ROI for buyers: 8-12x over first year based on market size of ERP support professionals and estimated adoption rates in target verticals. Startup assets What’s included in the sale? Describe every asset with numbers: Complete Python source code repository (v1.0) with documentation and setup instructions. Official 6-page PDF Documentation (User Guide + Technical Reference). Full Intellectual Property (IP) and Trademark rights transfer. 15 Days of Technical Handover Support. Ready-to-deploy local RAG engine structure. Risks What can go wrong, and how can buyers minimize them? API Dependency Risk: Google Gemini API pricing changes could impact profitability. Mitigation: Implement fallback local NLP models, plan for API alternative providers. Market Adoption: Early stage product may need time to gain traction. Mitigation: Strong beta testing program, focused marketing to target ERP departments. Technical: Windows-focused initially. Mitigation: Planned Linux and macOS support in roadmap. Summary Why buyers should buy your project, provide valid arguments to convince them.