milind-soni

I'm building an AI Tour Guide builder for any website or App( https://tiptour.io/ ). I made a chrome extension which helps you record and build interactive cursor following tooltip for your webapp and integrate with your web app using just a script tag. Not fully mature yet as im still stuck with chrome developer review

Alongside I am working on a MacOS version based on an open source project (Clicky)

I created a follow along teacher to help you follow youtube tutorials interactively. It goes through the video link, extracts all the action items and creates a tour for you so that you can interact as you are watching the video.

Check out the MacOS version demo video here

https://x.com/milindlabs/status/2041926791745695848?s=20

Still in discovery mode where I'm finding which of the form factors people really like the most (Web or Local) and planning to go all in based on what users like more.

Hey Im making storytelling in jsonmaps.dev I think that could be also really useful for something like this! Let me know what you think

jsonmaps.dev its a way to create maps and create storytelling maps that you can embed in your react application, I was quite tired of how AI wasn't able to generate reliable maps in my applications.Every map library has its own imperative API and the AI output was always broken, hallucinated, or unmaintainable with so many different formats that you can put on the map.

The story map part came out of wanting to build Mapbox-style scrollytelling easily. You define chapters with a camera view and content, and it handles the scroll-driven camera interpolation.

Stack: MapLibre under the hood, React, published as an npm package.

https://jsonmaps.dev/

At this point, its the users

ContextCanvas(https://github.com/milind-soni/contextcanvas) I'm working on a visual interface for managing AI context. Instead of wrestling with text, you draw selections on an embedding map and chat with the selected data.

The insight: points close together in embedding space are semantically similar. So lasso a cluster, ask questions about it, refine your selection, repeat.

Built with Svelte 5 and DuckDB WASM for fast spatial queries. Everything runs client-side—your data never leaves the browser. It is based on Apple Embeddings Atlas

The vision is turning these visual selections into API endpoints that agents can query programmatically.

Looking for suggestions and feedback!