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Joined 5 months ago
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Cake day: May 1st, 2026

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  • Grab a bucket and pick up trash along your street. Take the old lady’s trash out. Paint something that’s worn out (with permission where appropriate). Find the ugliest yard in the neighborhood and offer to cut some of it back or just clean up an abandoned yard or park. Landscaping goes exponentially faster with power tools, but a hand pruner, hand saw, and cheap weed whacker can do a lot.




  • tburkhol@slrpnk.nettoLinux@lemmy.worldLinux TV Options
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    8 days ago

    There’s https://www.mythtv.org/ It’s heavier-weight than kodi, but includes its own OTA/cable setup for actual TV. Does not integrate as well with streaming services as kodi, but it seems like a lot of my kodi plugins have stopped working in the last couple years. Mythtv used to be bundled in a “Mythbuntu” distribution, but they seem to have collapsed.

    Kodi frontend with a mythtv backend has been a pretty workable solution for me, but it won’t stream from Prime, Apple, Netflix, Disney, etc



  • Not nextcloud, but I have several containers set up to use ‘third party’ database - ie, not running inside the container or compose group, sometimes on a second machine. It definitely complicates the setup. I haven’t noticed any performance issues, but my services are low load.

    I would think that the db running on the Pi with storage on the Pi could be faster than the db running on the laptop with storage on the Pi. The Pi db would presumably have higher bandwidth to the Pi storage and only have to transfer the selected data over network, where the laptop db has to do all the db sorting, filter, and processing over the network, although I suppose the db would try to keep all the data in RAM. I know there’s limitations to Pi’s internal bus bandwidth, Maybe you can compare the hdparm performance of the NAS RAID vs the NFS mount.


  • tburkhol@slrpnk.nettoSelfhosted@lemmy.worldWhy homelab?
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    19 days ago

    My homelab has been running for 20 years, during which I’ve gone through something like a dozen desktop and laptop PCs. Copying a terabyte of media to each of those computers seems like a terrible waste. My TVs, either through Raspberry Pi or their own software, can also play all of that media.

    The homelab also runs a few 24/7 services that do stuff overnight (most notably sensor data logging), pihole, routing, media management. It’s lower power than the desktop/gaminng computer, and it’s not practical to have those 24/7 services on a laptop that leaves the house periodically.

    So, homelab to minimize the amount of storage replication, minimize power consumption, and provide always-on processing.

    Of course, having that platform, it’s also an opportunity to play. Implement services that totally wouldn’t be practical in and of themselves, but setup makes a fun diversion for an afternoon or a weekend. Remote access for the rare occasion when I’m traveling. Monitoring the otherwise invisible, headless computers. (like NUT to keep track of 3 different UPSes)


  • In 2000, you were 7 years old and had no clue what anyone was paying for rent, much less how cool was open mic night at the local. Your parents could afford to do things and shielded you from what they cost. Or sitcom families could do things and you’re remembering Will & Grace.

    I mean, yes: shit’s expensive today, but heterosexual people had roommates in 2000, in 1990, 1980, even in 1960. In 1980, it was scandalous to have a roommate of the opposite gender.










  • The problem for all creators on the internet is discoverability. All the faults in the pre-internet publishing system, but those publishers did a huge amount of screening and reduced the choice paralysis on consumers. Now, we get the whole firehose of games, music, stories, movies, and who’s really got time for that? Who wants to spend the time installing 10 different, random games to give each of them a 10-minute test and uninstall? That’s 2 hours that could have gone into an actual good game, nevermind currency.

    “They” used to solve discoverability by having “experts” decide where to spend advertising dollars. Algorithms try to solve discoverability by seeing what everyone else is playing, but that just amplifies the hyperbola distribution of plays & revenue. Most of those indie games will never even show up, unless you somehow search for them by exact name. And now with AI just flooding the zone…these statistics are only going to get more lopsided.