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goaty goats (she) :deifirev: :ms_tiger: :NDpride:
goaty goats (she) :deifirev: :ms_tiger: :NDpride:
@goaty@meow.social  ·  activity timestamp 2 months ago

i'm hoping to find a wheeled cart i can put my computer tower on with an upper surface i can put, for instance, a monitor on. i've included an example of what i am seeking, because i can find things that fit the bill, but i don't know what brands are any good.

does anyone have one they'd recommend?

i don't need built-in outlets, though i would not be opposed. i just want something well-built and sturdy that will suit my needs, which are:

  • fits your average ATX tower
  • has an upper surface above the tower
  • has casters

#AskFedi #FediSearch

A cart with casters and two shelves; one is at the bottom holding a computer tower, and the other is above the tower with nothing on it. There's also a bar between the shelves on one side of the cart with a power outlet on it.
A cart with casters and two shelves; one is at the bottom holding a computer tower, and the other is above the tower with nothing on it. There's also a bar between the shelves on one side of the cart with a power outlet on it.
A cart with casters and two shelves; one is at the bottom holding a computer tower, and the other is above the tower with nothing on it. There's also a bar between the shelves on one side of the cart with a power outlet on it.
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➴➴➴Æ🜔Ɲ.Ƈꭚ⍴𝔥єɼ👩🏻‍💻
➴➴➴Æ🜔Ɲ.Ƈꭚ⍴𝔥єɼ👩🏻‍💻
@AeonCypher@lgbtqia.space  ·  activity timestamp 7 months ago

Okay, but we can also #federate this now with the #fediverse. Like, #ActivityPub can handle search queries just fine.

So, just running on microcomputers, everyone can put on their own index whatever they want.

A person can _easily_ index 50,000 pages on a rapsberry pi.

A #FediSearch can broadcast any query to known peers. Each peer returns top-k results. The originating node can then aggregate and rank.

So @alice queries their FediSearch, it searches its own index and queries subscribed peers, those peers do the same thing. Nodes can choose who they trust, cache, etc.

The number of indexes pages will be something along the lines of `pages_per_nod * log(number_nodes)`. So a thousand nodes may only cover a million pages, but if the trust network is good, those are probably the most important million pages.

Also, I would venture that you'd have some nodes specializing in having a lot of pages: tens of millions, others just for stuff they like, others specifically for non-commercial interests. Selecting who you federate your search with really affects the ranking.

#FediSearch #ActivityPub #FederatedSearch #Fediverse #RaspberryPi #SearchEngine #DecentralizedWeb #SelfHosting

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