Otter Docs
Otter Docs is a comprehensive Next.js 15.4.7 application that revolutionizes startup fundraising by generating professional pitch decks, detailed business plans, and managing investor relationships through AI-powered automation. Built with React 19.1.0, TypeScript, and TailwindCSS, the platform leverages GPT-5 for intelligent content creation and DALL-E for professional image generation. The application features a sophisticated three-module architecture: pitch deck generation with 10 standardized slides, comprehensive 8-section business plan creation, and integrated investor tracking with CRM functionality. Following Android-inspired ViewModel patterns, it implements a Repository pattern for LocalStorage-based data persistence, ensuring privacy while maintaining enterprise-grade architectural standards. The system provides real-time generation progress, multiple PDF export formats (Speaker, Investor, One-Pager), and responsive design across all devices. Advanced features include AI image regeneration, custom image uploads, slide-by-slide navigation, and comprehensive investor database management. The platform supports industry-specific content tailoring, funding stage customization, and maintains strict TypeScript implementation throughout. With progressive generation capabilities, users can watch their content being created in real-time, while the modular component architecture ensures maintainability and scalability for future enhancements.
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"Good job on finishing the hackathon and submitting the project. That's very decent of a result in and of itself. In terms of the app, I think it will benefit from some speech-to-text, text-to-speech models doing the onboarding for you - just a quick, short interview that would help me out. In regards to the main part of the pitch deck generation, I think it's a very hard-to-pull-off thing that many apps have tried, and the best one I think right now is Gamma. Beautiful.ai is also not bad, and they both seem to build on top of templates. I think this is what you should have done: you should have tried connecting templates and making the AI build on top of that. Then maybe pushing the text onto those templates by yourself. It's not an easy feat, you know, and I like that you've tried to take it on. It is a real problem, and I would love to see more stuff from you - different iterations on different hackathons in the future. Good job!"
Okti AIML API
Head of DevRel
For Innovators & Creators