redcalcium

OnlyOffice has an Android version.

Marginalia is interesting because it attempt to search non-commercial contents. this might unearth some contents you can't find on google. If you search something on google and the result is full of spam or ecommerce product pages, try the same keyword on marginalia. Unlike google, it's a keyword search engine, so keep in mind not to ask question in it, but put the keyword that might be included in the content you want to search.

Kagi is a paid search engine. it does use data from other big search engines, but apply its own weighting and filtering and unearth contents normally buried on the big search engines. There is a free trial account if you want to test it yourself to see if it's better than google for your use case.

There are also various searxng instances. searxng is an opensource meta search engines, which uses data from other search engine. Each instances may be configured differently, so you might want to test some of them to decide which instance works the best for your use case.

Some interesting comparison: https://danluu.com/seo-spam/

Is this the tutorial you followed? https://www.home-assistant.io/installation/generic-x86-64

On which step did you encounter the error? The step where the home assistant os already written to the target disk and you're told to restart the system with usb stick unplugged?

http error 500 when downloading the container image might be a temporary error on github docker repo side. Try restarting the device and see if the error persist.

From the posted log, it appears to try to download ghcr.io/home-assistant/generic-x86-64-homeassistant:2024.4.4 docker image and failed due to http 500 server error .

Can you post how you were trying to install home assistant? E.g are you using docker compose?

Why not using ghcr.io/home-assistant/home-assistant:2024.4.4?

Imagine what happen when you bought a new computer. You'll install an os, then install all apps you need, copy over all data you need, etc. Now imagine if you have 100 of new computers. The tools hashicorp made basically enable you to create a recipe to perform all this operation over a fleet of servers.

Damn, iirc someone (forgot who) actually called it at the beginning of terraform debacle, though it was redhat instead of ibm, but close enough.

I bought their $20 tws recently and it's not bad for the price. They're more like budget audiophile brands.

Just for some perspective, if you want to know how little reach the fedi post with the link to this blog post got: the first post in this thread already has more likes and boosts after less than a hour since posting it than my blog post ever did that he felt the need to confront me over.

The author is probably weren't aware that their blog post get a huge engagement on hacker news and the ceo got a lot of flak there, which was probably why he felt the need to reach out and "correct" the author.

As a concept, paid search engines is actually a good idea. It incentivize the company to produce great result so their users won't search over and over (which reduce their profit), unlike google which incentivized to reduce search quality so their users have to search over and over and see more ads (per the article). If it's not kagi, I hope other paid search engines start to appear in this space. Indexing the web is expensive, and after seeing what happened with google, it's clear that free ad-suported search engine is not the way to go now.

In the March 2019 core update to search, which happened about a week before the end of the code yellow, was expected to be “one of the largest updates to search in a very long time. Yet when it launched, many found that the update mostly rolled back changes, and traffic was increasing to sites that had previously been suppressed by Google Search’s “Penguin” update from 2012 that specifically targeted spammy search results, as well as those hit by an update from an August 1, 2018, a few months after Gomes became Head of Search.

Search engagement is declining, so the obvious fix is to make the search result worse which means people have to search more to find what they need. Engagement metrics went through the roof! Crisis averted!

Thanks to this fuck up, competition is a thing again in search engine space. Other search engines are getting better and start to capture the fleeing users.

Benefits of Tor over I2P: C, not Java (ewww)

Benefits of I2P over Tor: Java, not C (ewww)