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Overview

Objective Goal

With a foundational LLM interface, my goal is to simplify users' reading time for PDFs, Wikipedia articles, and news, as well as their viewing time for videos, by delivering organized content in detailed sections, mind maps, and tables.

1

šŸ”§ Modern Development Stack

I designed and implemented within a Monorepo architecture, using TypeScript with Solid.js for the frontend, Node.js for the backend, and Tailwind CSS for styling.

2

šŸŽÆ Optimized Prompt Design

I designed and optimized LLM prompts to convert webpages into sections, tables, mind maps, and video timeline stops. I ensured robust prompt design while minimizing the risk of prompt injection.

3

šŸ—‚ļø Data Parsing and Storage

I implemented JSON-based data storage, using Peggy to parse Markdown generated by LLM into structured JSON. I developed and executed tests to ensure the data followed the intended JSON format.

4

šŸ“ˆ Strategic SEO Growth

I created the features page and enhanced it with SEO improvements, including Open Graph data, which led to a 10,000-user growth and securing the #1 Productivity Product of the Week on Product Hunt.

5

ā˜ļø DevOps and Deployment

This platform was deployed on Google Cloud. IĀ  implemented webhooks for regular database updates, and managed CI/CD pipelines across staging and production environments.