Hello! I am currently on the lookout for a versatile media management platform that goes beyond the traditional boundaries of organizing just one type of media. I am in search of a platform that can handle a diverse range of media types including books, games, videos, and more.

Ideal Solution: AI-powered system that scans media files, identifies them, categorizes them, and tags them without needing manual input.

Next Best Option: Central database that supports collaborative editing of enriched metadata, including title, data, cast, genres, descriptions, etc. across diverse media types that can be exported to local management apps like Plex and Kodi.

Current Practical Option: Use specialized metadata tools by media type (Beets + MusicBrainz for music, Stash + Stash-box for adult content, Calibre for eBooks), then use an integration solution like Plex or Kodi to bring the enriched libraries together into a consolidated interface. Requires more manual effort but takes advantage of exi

If you're developing an application or script that interacts with Lemmy's API, particularly for posting content, it's crucial to understand and respect the platform's rate limits to avoid encountering rate_limit_errors. Lemmy, like many other online platforms, implements rate limiting to prevent abuse and ensure fair usage among all users. This guide will help you navigate Lemmy's rate limits for posting content, ensuring your application runs smoothly without hitting any snags.

Understanding Lemmy's Rate Limits

Lemmy's API provides specific rate limits for different types of requests. These limits are crucial for maintaining the platform's integrity and performance. For posts, as well as other actions like messaging, registering, uploading images, commenting, and searching, Lemmy sets distinct limits.

To find the current rate limits, you can make a GET request to /api/v3/site, which returns various parameters, including local_site_rate_limit. This parameter outlines the

cross-posted from: https://discuss.online/post/5772572

The current state of moderation across various online communities, especially on platforms like Reddit, has been a topic of much debate and dissatisfaction. Users have voiced concerns over issues such as moderator rudeness, abuse, bias, and a failure to adhere to their own guidelines. Moreover, many communities suffer from a lack of active moderation, as moderators often disengage due to the overwhelming demands of what essentially amounts to an unpaid, full-time job. This has led to a reliance on automated moderation tools and restrictions on user actions, which can stifle community engagement and growth.

In light of these challenges, it's time to explore alternative models of community moderation that can distribute responsibilities more equitably among users, reduce moderator burnout, and improve overall community health. One promising approach is the implementation of a trust level system, similar to that used by Disco

If Stack Overflow taught us anything, it's that

"people will do anything for fake internet points"

Source: Five years ago, Stack Overflow launched. Then, a miracle occurred.

Ever noticed how people online will jump through hoops, climb mountains, and even summon the powers of ancient memes just to earn some fake digital points? It's a wild world out there in the realm of social media, where karma reigns supreme and gamification is the name of the game.

But what if we could harness this insatiable thirst for validation and turn it into something truly magnificent? Imagine a social media platform where an army of monkeys tirelessly tags every post with precision and dedication, all in the pursuit of those elusive internet points. A digital utopia where every meme is neatly categorized, every cat video is meticulously labeled, and every shitpost is lovingly sorted into its ow