HackStack

Project Info

Winner

Y Combinator: Build an Iconic YC Company - 2nd Place

AI Docs

Devpost

Inspiration

As people who use Google Docs for almost everything from writing college essays to class notes to spontaneous poetry, we’ve found it restrictive in its ability to enhance a user’s experience. We've decided to reimagine popular word processors and integrate them with AI beyond just grammar checks and sentence suggestions.

What it does

AI Docs is an all-in-one file system that allows you to organize your files and edit them. Its high-level features include an AI-powered search bar for easy access to files and a background AI agent that reads your files to generate workflows and to-do actions for you immediately. For the actual word processor, we're reimagining what it means to write and create. Instead of having a single document and a sidebar for static comments, we extended it to a single document for writing the raw notes, and a dynamic sidebar that allows you to organize your comments/content and prompt AI (and see its responses), having all your notes in one place. This reimagines word processors and sees how AI can truly supplement all forms of writing and creation.

How we built it

On the frontend, we used React 18, React Router for navigation, React Quill for rich text editing, Axios for API calls, and Vite for build tooling. On the backend, we used Express.js, OpenAI API for intelligent search and document analysis, CORS enabled, and databases.

Challenges we ran into

Some challenges we ran into were finding cohesion in our vision. Our general topic is broad: word processor, and we had to work together to narrow it down into what we wanted our product to do and how we wanted to utilize AI in the background to have it be effective but also efficient.

Accomplishments we're proud of

We're proud of having a working MVP (haha!) but also when our team came together with a vision, it was scattered, and we all had a lot of inputs/ideas that we wanted to implement. We're just super proud that we were able to implement the core features we were looking for and supplement it with a lot of details that enhance the user experience. We are also proud of how this solution solves the problem we've been facing with existing word processors!

What we learned

We learned a lot: coding in a fast paced environment with a narrow deadline, collaboration, and coming up with an idea and building it end to end with no other guidance than our minds and a collective vision that we share.

What's next

Next for AI Docs is to include more workflows that integrate across different writing formats such as creative writing and essay writing to allow it to cater to anyone who uses the platform.

Analysis

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Metric

Figures cover GitHub contributors during the hackathon window. A co-authored commit counts in full for each author, so per-member totals add up to more than the whole-team figures.

Technology

Found in codeClaimed only
  • CSSIn code
  • ExpressIn code
  • Google GeminiIn code
  • HTMLIn code
  • JavaScriptIn code
  • OpenAIIn code
  • ReactIn code

7 of 7 appear in the indexed code.

AI coding agents

No AI coding agent signals were found in this repository.

Detected from committed agent config files and commit authorship. Absence of a signal is not proof an agent was unused.

Codebase size

Source size

202 KB

Source files

20

Counts recognized source files only; vendored directories, binaries and lockfiles are excluded, so this is smaller than the repository on disk.

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