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Dream come true! Congrats!


Nice, is it open source? Can we learn from this implementation? Is there any documentation?


https://libgen-crypto.ipns.dweb.link/source.tar.gz

It makes use of the sql.js-httpvfs library, previously discussed on HN here: https://news.ycombinator.com/item?id=27016630


The problem is values, body is being treated as a product. People are being treated as disposable. We need to reshape these values into better ones for a better society in the future.


Interesting, would be nice to combine webauthn into this stamp project.


Bittorrent seems to be the pioneer in this open P2P space and I liked also the zeronet initiative about descentralized web. Web3 is trying to pickup on that same space, I think maybe unifying these efforts of Web3 with Bittorrent and all will make a big descentralized ground for what Web3 should probably become and yes I do not think wallets are a good approach either it is stupid, is what we have now but we need a better approach without any browser plugins, maybe facial recognition is the key here.


Nice, would be cool if we could do nodejs or Python on top of Urbit.


Even as guest Youtube wants to do the recommendation algorithm it's great what can I say besides privacy is the last thing they're worried about anyways. They're almost like: You know you're being monitored, don't worry about it we'll get you some great videos along the way.


This becomes very apparent when traveling and using hotel Internet, or built in YT on room's "smart" TV.

The YT recommendations are very targeted, not only for local business but culture, and aggregate viewing patterns. Go to Washington DC, and check YT search patterns. Then, go to Seattle, WA, Memphis, TN, Austin, TX and compare these to each other.

It is a fascinating window into what YT thinks about the local population.


Hey guys, Instead of me trying to put together Jupyter and this can I just use Python in Grist like use the Pandas and everything else? Combining this plus the magic of Jupyter seems like my dream environment now :). No need to worry about anything else :).


When running locally, you can use whatever you like, pandas or anything else, which is fun (we've experimented with some options for Jupyter integration ourselves). In our hosted service, for security we have a locked down python sandbox with white-listed libraries. Definitely on our roadmap to liberate the full power of python libraries in hosted!


I have a Ubuntu running on a WSL2 with Jupyter Notebooks already on it do you have any recommendation or any url to integrate the two it would be really cool just like you said it sound like a lot of fun :). Or do you just call them separatly?


One simple thing you can do is read a table as a data frame with:

  pandas.read_json("http://localhost:8484/api/docs/<document-id>/tables/<table-name>/data")


Only works wih visual studio 2015, this is old tech.


Just because it works with VS2015 doesn't mean it's old tech. The source files have been updated within a few days and weeks.


Did Google copy Google in the first place? You can use it as your study case but think about making it better, put your progress in the table, innovate.


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