Quick Facts
- Status of r/all: Officially deprecated as of early 2025, replaced by AI-driven discovery systems.
- Primary Discovery Tool: The Home feed, which now utilizes complex machine learning models to rank content.
- Engagement Growth: Reddit reached 121.4 million daily active unique visitors by late 2025, a 19% year-over-year increase.
- Ad Performance: New AI tools like Conversation Summary Add-ons have shown a 19% higher clickthrough rate than traditional ads.
- Available Alternatives: Users can still access r/popular or use the Latest sort for chronological ordering, though these are less prominent.
- Legacy Access: The traditional unfiltered experience remains accessible through old.reddit.com and other legacy interfaces.
Reddit officially deprecated r/all in early 2025, redirecting users to a personalized Home feed powered by machine learning to prioritize engagement-based recommendations. This transition to a Reddit algorithmic feed signifies a move away from the raw, community-sorted discovery of the past toward a curated experience designed to keep users scrolling longer through highly relevant content.
The Strategic Shift: Why Reddit Killed r/all
The decision to phase out r/all was not a sudden whim but a calculated move within the broader vision of Steve Huffman to create a more predictable and engaging user experience. For over a decade, r/all served as the front page of the internet, a chaotic but authentic mirror of what the entire site was talking about at any given moment. However, as the platform grew, the leadership team identified that new users often found the unfiltered nature of r/all overwhelming or irrelevant to their specific interests.
The introduction of the Reddit algorithmic feed represents a shift toward user engagement metrics as the primary north star for the platform. By utilizing predictive scrolling patterns, Reddit aims to emulate the high-retention success of platforms like TikTok. This transition moves the platform from a model of serendipitous discovery—where you might stumble upon a hobby you never knew existed—to a model of retention, where the system serves you more of what you have already proven to enjoy.
One of the most visible components of this change is the bifurcation of content into Read and Watch feeds. This platform simplification allows users to choose the medium they want to consume without the friction of mixed media types. While this makes for a smoother experience, critics argue it risks creating information echo chambers, where users are only exposed to perspectives that align with their previous interactions.

Inside the Machine: How the Reddit Algorithmic Feed Works
The magic, or the frustration, of the new system lies in its sophisticated machine learning models. Unlike the old r/all, which relied on a simple calculation of upvotes over time across the entire site, the current Reddit algorithmic feed operates through a three-stage machine learning pipeline. This process ensures that every post on a user’s screen has been vetted for personal relevance.
1. Candidate Generation
In this first stage, the system scans millions of active posts across the platform. It looks for candidates based on subreddits you follow, subreddits similar to those you follow, and trending topics in your geographic region. Instead of showing everything, it narrows the pool down to a few thousand potential posts that the recommendation systems believe you might find interesting.
2. Filtering
Once the candidates are selected, the filtering layer applies a set of rules to ensure safety and quality. This stage removes spam, content from blocked users, and posts that violate community guidelines. It also checks your specific Reddit personalization settings to ensure that content you have previously hidden or reported does not reappear. This stage is crucial for content curation automation, as it prevents the feed from becoming cluttered with repetitive or low-quality material.
3. Predictive Sorting
The final and most complex stage is predictive sorting. Here, the algorithm assigns a score to each remaining post based on the probability that you will interact with it. The system considers hundreds of signals, including the time you spend reading similar posts, whether you tend to click on videos more than text, and how recently the post was submitted. This is where the shift to user engagement metrics becomes most apparent, as the goal is to rank the most "clickable" content at the very top.
Understanding this content ranking system is essential for users who want to know how to train Reddit algorithm for better discovery. Every upvote, downvote, and even the amount of time you linger on a post serves as a data point that informs the global and individual models.
Survival Guide: Customizing Your Reddit Home Feed
For many long-time users, the loss of r/all feels like a loss of control. However, there are still several ways to influence what appears in your feed by diving into your Reddit personalization settings. If you find your feed becoming stale or repetitive, taking a few minutes to adjust these toggles can significantly improve your browsing experience.
How to access and modify your feed settings
To regain some level of control over the algorithmic influence, follow these steps in the mobile app or desktop site:
- Open the Reddit app and tap your profile icon.
- Navigate to Account Settings and select your Username.
- Scroll down to the Privacy section or Manage Notifications depending on your version.
- Locate the toggle for Personalize recommendations and adjust it to your preference.
- If you are a privacy-conscious user, ensure that Personalize ads based on your activity with our partners is turned off.
By adjusting these Reddit personalization settings for privacy-conscious users, you can limit the amount of external data the platform uses to profile your interests. Furthermore, if you are struggling with fixing repetitive content in Reddit personalized feed, try clearing your local app cache or manually hiding posts you’ve already seen, which signals the algorithm to refresh the candidate pool.
Comparing Content Streams
The new interface offers two distinct ways to consume media, which can be toggled at the top of the Home feed.
| Feature | Read Feed | Watch Feed |
|---|---|---|
| Primary Media | Text, Articles, and Images | Short-form and Long-form Video |
| Sorting Focus | Discussion depth and reading time | Visual engagement and play-through rate |
| Best For | News, storytelling, and advice | Entertainment, tutorials, and memes |
| Algorithm Goal | Maximizing conversation and "dwell time" | Maximizing "infinite scroll" and views |
Finding Old Reddit and Unfiltered Feeds
If the algorithmic approach simply isn't for you, there are still paths for accessing r/all on mobile after Reddit update, though they require a bit more effort. Reddit has maintained its legacy interfaces for the time being, which offer a glimpse back into the era of chronological ordering and community-driven ranking.
The most reliable method is using old.reddit.com. This version of the site bypasses the modern machine learning models and provides the classic r/all experience. While it lacks the sleekness of the new app, it provides a level of algorithmic transparency that the modern interface does not. You can see exactly why a post is at the top: it simply has more net upvotes than the others.
Another compromise is the Reddit r/popular navigation. While r/popular is still filtered to remove certain types of content (like NSFW or highly polarizing political subs), it is much less personalized than the Home feed. It acts as a middle ground for users who want to see what the broader community is interested in without the heavy hand of individual personalization.
Finally, for those who prefer chronological ordering, the Latest tab remains an option on the mobile app. While it doesn't give you the "top" content of the whole site, it does show you posts from your subscribed communities in the exact order they were posted. Using old Reddit to access unfiltered feeds remains the gold standard for power users who want to escape the bubble created by recommendation systems.
FAQ
How does the Reddit home feed algorithm work?
The Reddit home feed algorithm uses a three-stage process involving candidate generation, filtering, and predictive sorting. It analyzes your past interactions—such as the subreddits you visit and the posts you upvote—to create a personalized list of content it predicts you will enjoy. It prioritizes user engagement metrics to keep the feed fresh and relevant to each individual user.
Can I turn off the algorithmic feed on Reddit?
While you cannot completely disable the machine learning components of the main Home feed, you can reduce its influence. By navigating to your personalization settings, you can turn off personalized recommendations. Additionally, switching to the Latest tab or using r/popular provides a less individualized experience than the standard Home view.
Why is my Reddit feed showing posts from subreddits I haven't joined?
This is a core feature of the Reddit algorithmic feed designed to aid discovery. The system identifies communities that are similar to those you already belong to or topics that are trending in your area. If you find these suggestions unhelpful, you can hide specific posts or use the settings menu to disable "Enable home feed recommendations."
How can I switch my Reddit feed back to chronological order?
On the mobile app, you can switch to chronological ordering by selecting the Latest tab at the top of the screen. On the desktop, you can change the sort settings of your Home feed to New. However, please note that this only applies to the communities you have joined, rather than a site-wide unfiltered list like the former r/all.
Does Reddit use machine learning for its content ranking?
Yes, Reddit heavily utilizes machine learning models to determine content ranking across its modern interfaces. These models evaluate hundreds of signals in real-time to ensure that the most engaging content reaches the top of a user's feed. This shift is part of a larger trend toward content curation automation to manage the massive volume of posts submitted daily.