digraph VS cardboard

My own purpose in using it is to be able to get back to any link that I've read or have potentially wanted to read at a later point in time.

You scan see screenshots here: https://github.com/emwalker/digraph.

I have the same habit and wrote a web app to catalog the links I come across:

https://digraph.app/

This was kind of the idea behind a side project I started a few years ago:

https://digraph.app/

https://blog.digraph.app/2020-06-13-democratization-of-searc...

I definitely think crowd-sourcing and a well-conceived reputation management system that can influence results are good next areas for exploration.

> I think building search vertical that are hand-curated would be very interesting to see.

That was my inspiration behind a side project I made a few years ago — a decentralized, hand curated "search engine" [0]. Never got beyond the side project stage. But I see promise in this in the future. Eventually we'll figure out that human and moderated curation is better than the best machine learning.

[0] https://github.com/emwalker/digraph

I did a similar thing a while back. https://github.com/maxibenner/cardboard

The original version included automatic scene splitting. However, at some point I tried to work with a large video digitization provider and the splitting ended up being too expensive to be viable for the proposed business model. Now it just auto generates thumbnails.

The peoject inudes a business dahsboard that allows digitization businesses to send videos directly to customer accounts (deliveries need to be accepted).

Currently, I only use it for my own videos as well as for my MIL. It has tagging functionality, folders, and enables simple sharing of individual videos.

The original goal was to have a platform that ingests the commonly enormous video files from old tapes, automatically cuts them and then tags them based on content. Everything is on hold at the moment.