I had to read the overview and it looks nice. It reads like IPFS without some of the challenging cruft. Well written!

IPFS seemingly works small scale but not large scale. What makes tenfingers handle millions of files and petabytes of data better than IPFS? Perhaps that is not the goal. In what way do you think the tech scales? Why will discovery of the node which has the data be short?

I want to ask for benchmarks but you can’t do a full benchmark without loads of resources.

I’m not actively looking but please do share references! Other people may read this and they may want to know too. Perhaps I’ll jump back in the rabbit hole at some point too 😁

Exactly. The Semantic Web is broader than Solid but Solid is great for personal apps.

Say you buy a smartphone. The specifications of the smartphone likely belong elsewhere than in a Solid Personal Online Datastore, but they can be pulled in from semantic data on the product website. Your own proof of purchase is a great candidate for a Solid POD, as is the trace of any repairs made to it.

These technologies are great to cross the barriers between applications. If we’d embrace this, it would be trivial to find the screen protector matching your exact smartphone because we’d have an identifier to discover its type and specifications. Heck, any product search would be easier if you could combine sources and compare with what you already have.

The sharing tech exists. Building apps works also. Interpreting the information without building a dedicated interface seems lacking for laymen.

IPFS would replace Content Delivery Networks in present day.

It would also allow you to host software and other content from your own network again without the constraints modern Internet Service Providers pose on you to limit your self-hosting capabilities.

If applications are built for it, it could serve as live storage for your applications too.

We ran ipf-search. In one of the experiments we could show that a distributed search index on ipfs-search, accessible through JavaScript is likely feasible with the necessary research. Parts of the index would automatically be hosted by clients who used the index thus creating a fairly resilient system.

Too bad IPFS couldn’t get over the technical hurdles of limiting connection setup time. We could get a fast (ElasticSearch based) index running and hosted over common web technologies, but fetching content from IPFS directly was generally rather slow.

The semantic web and social linked data. We could have applications share data without depending on big tech, but rather based on application standards.

It can be used today and gains traction but I wouldn’t mind it going faster. Especially the interoperable personal app space could use some love and attention.

https://github.com/mu-semtech/sparql-parser contains an EBNF parser for SPARQL, an LL(1) language. You might be able to borrow code, not sure how well it translates to scheme. GitHub asked me to log in to see the gist so I’d have to have a peek later.

sparql-ast folder contains the relevant bits regarding the parsing.

Nice script. What is the reason to toggle the brightness?

Kubernetetes is crazy complex when comparing to docker-compose. It is built to solve scaling problems us self-hosters don’t have.

First learn a few docker commands, set some environment variables, mount some volumes, publish a port. Then learn docker-compose.

Tutorials are plenty, if those from docker.com still exist they’re likely still sufficient.

Emacs: “What if your Operating System and your text editor had a child.”