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Replying to Avatar Laeserin

File sizes have actually been getting steadily bigger, as compression algorithms are more effective on a large document and the sum total of the data set requires less storage and is faster to query. People storing lots of data on one hosted instance, with one entry point, save money, RAM, computation, and human effort, if they keep the files large.

But a distributed, eventually-consistent storage system, like Nostr, has the opposite problem: it benefits for having lots of little files that are spread around, slowly and thinly, and then gathered and assembled, quickly, when used.

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Laeserin 11mo ago

This works because most people won't need to access most of the data most of the time, and the data is redundant, so you can have n entry points to the same data because the data has clones all over the place.

This creates and n:n system with no bottleneck.

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Silberengel 11mo ago

Nostr is a database with the data spread out thinly, eventually-consistent, and with n entry points and query interfaces.

It's a massive, universal data store with no bottleneck.

nostr:nevent1qqs9g3h9xy0r3hslej5zsjlu4lm5q0dnzg8z9w7wepqaq747x3j4ytgpz3mhxw309akx7cmpd35x7um58g6rsd3e9upzphtxf40yq9jr82xdd8cqtts5szqyx5tcndvaukhsvfmduetr85ceqvzqqqqqqy74emlt

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