Hello.

I created a simple countdown timer web app that lets you track time until important events. It's built with a focus on no-code using Replit, including a cool integration with Black Forrest Labs' image API via Replit's Agent feature. Check out the live app and source code!

I've created a small library called reactive-prompt that lets you easily manage prompts in a reactive way, similar to how you'd build a web app with React. It uses Preact's Signals to track changes to inputs and automatically re-runs prompts when those inputs update. This allows for efficient chaining of prompts, where the output of one becomes the input of another, and only necessary prompts are re-evaluated. The library currently uses Chrome's experimental prompt API but could be adapted for other providers like OpenAI or Gemini. It makes complex prompt flows much more manageable.

I created a simple vector database called "Vector IDB" that runs directly in the browser using IndexedDB. It's designed to store and query JSON documents with vector embeddings, similar to Pinecone, but implemented locally. The API is basic with insert, update, delete, and query functions. While it lacks optimizations like pre-filtering and advanced indexing found in dedicated vector databases, it provides a starting point for experimenting with vector search in the browser without relying on external services. The project was a fun way to learn about vector databases and their use with embeddings from APIs like OpenAI.

I built Ask Paul, a generative AI demo that answers front-end web dev questions using my content. It leverages Polymath-AI to index content, find related concepts, and generate summaries by creating embedding vectors, using cosine-similarity, and querying OpenAI. The implementation has a UI, a Polymath Client, and a Polymath Host. It's super cool how accessible this tech is now!