Hackers' Pub

Syntax	Description	Examples
`"` keyword `"`	Finds the string within quotes, including spaces. Case-insensitive. (Escape quotes inside with `\"`)	`"Hackers' Pub"`
`from:` handle	Finds content written by the specified user.	`from:hongminhee` `from:hongminhee@hollo.social`
`lang:` ISO 639-1	Finds content written in the specified language.	`lang:en`
`#` tag	Finds content with the specified tag. Case-insensitive.	`#HackersPub`
condition condition	Finds content that satisfies both conditions on either side of the space (logical AND).	`"Hackers' Pub" lang:en`
condition `OR` condition	Finds content that satisfies at least one of the conditions on either side of the OR operator (logical OR).	`#HackersPub OR "Hackers' Pub" lang:en`
`(` condition `)`	Combines the operators within the parentheses first.	`(#HackersPub OR "Hackers' Pub" OR "Hackers Pub") lang:en`

dansup @dansup@mastodon.social

12/17/2025, 2:34:17 PM

Public

The Loops For You algorithm isn't some black box, not only is it open source, and will be documented, but people will be able to clear recommendation data at any time, giving you more control 😉

Learn more: https://joinloops.org/our-mission

How the Loops For You Algorithm works, it visualizes how the platform selects videos for users when using the For You feed.

It shows a flowchart starting from a user request, branching based on whether the user is new (receiving a "Popular & Discovery Focus") or returning (receiving a "Personalized Focus"). Three content sources—Personalized, Popular, and Discovery streams—are filtered for hidden creators or already-seen content and fed into a central Scoring & Ranking Engine chip icon. Below this engine, a pie chart details the scoring weights: Engagement (35%), Personalization (30%), Freshness (25%), and Creator Quality (10%). The engine outputs the final "Ranked 'For You' Feed." A feedback loop shows user actions updating interest data for future recommendations. A prominent section in the bottom right emphasizes User Control with a trash can icon, stating users can "Clear Recommendation Data at Any Time (Resets Interests & Hidden Creators).

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