do you know some good rotational residential proxy ?
Testing Reddit's New Filters Together.
- Thread starter Hunter spirit
- Start date
-
- Tags
- reddit reddit 2026 shadow ban
Uiyniasd569872
Regular Member
- Feb 14, 2025
- 287
- 63
that is thier intention now, that they got rid of so many irl users last year, and they are slowly rolling out the forced login popup to get people to sign into an account, so thier data can be scraped for AI.
keymaster2020
Newbie
- Mar 30, 2013
- 47
- 22
Has anyone noticed their account getting banned after using SMM panels to upvote comments?
Justat3mpsir
Newbie
- Aug 18, 2026
- 21
- 1
What’s white niche?
RobinK1228
Registered Member
- Oct 13, 2021
- 90
- 48
Honestly, I’ll never understand people who say we could potentially be “100% cooked.”
To me, this is just a rough period where everyone has to adapt and use the best possible methods.
If you look at Reddit, real users with genuinely high-quality accounts and normal activity are still able to mention, recommend, or occasionally promote products. Reddit is obviously never going to ban every user who recommends a product. So what exactly would make us “completely cooked”?
From my testing, the biggest change is that commenting with accounts that don’t have a strong CGS seems much harder now, especially in communities that are commonly targeted for promotion.
That’s also why I think buying promotional comments is basically dead. Most sellers have already used those accounts for too much promotional activity, so the accounts themselves have very little trust left.
The way forward seems to be building genuinely niche accounts with real activity, history, and authority inside specific communities. Account age alone doesn’t seem nearly as important anymore.
To me, this is just a rough period where everyone has to adapt and use the best possible methods.
If you look at Reddit, real users with genuinely high-quality accounts and normal activity are still able to mention, recommend, or occasionally promote products. Reddit is obviously never going to ban every user who recommends a product. So what exactly would make us “completely cooked”?
From my testing, the biggest change is that commenting with accounts that don’t have a strong CGS seems much harder now, especially in communities that are commonly targeted for promotion.
That’s also why I think buying promotional comments is basically dead. Most sellers have already used those accounts for too much promotional activity, so the accounts themselves have very little trust left.
The way forward seems to be building genuinely niche accounts with real activity, history, and authority inside specific communities. Account age alone doesn’t seem nearly as important anymore.
flatshower
Newbie
- Jul 15, 2026
- 11
- 0
I have quite a sophisticated operation (web, mobile, jailbroken iPhones, 5G Verizon proxies, self-upgrading reddit app coherence, ML on survival vs bans, full TLS proxy for coherence, running account linking modeling+coherence modeling)
I have ~200 accounts alive at any given time. My 5-day survival rate for first comment is about 5% on web. Mobile I'm close to operational, just ironing out final production kinks.
- Big/generic subreddits = higher ban probability
- Mentioning any brand = higher ban probability
- A greater number of spaced-out account setup events = lower ban probability
- Clustered setup events = higher ban probability
My data is slow to accumulate. I have occasional survivors. As they accumulate, and the bandit assigns accounts to exploring the missing vector space, evidence will accumulate and reddit's algorithm will show through. My current theory: topic interest. Reddit is serving a feed of posts, and reddit predicts our probability of clicking into each thread. The more humanly we behave (digging into subreddits within our topical interest area) the more reddit believes we are human. Especially with video dwell time; scrolling through videos is being used as evidence of topic interest. It's one big graph with embeddings. The algorithm serves us content, and measures us against our own interests.
I have ~200 accounts alive at any given time. My 5-day survival rate for first comment is about 5% on web. Mobile I'm close to operational, just ironing out final production kinks.
- Big/generic subreddits = higher ban probability
- Mentioning any brand = higher ban probability
- A greater number of spaced-out account setup events = lower ban probability
- Clustered setup events = higher ban probability
My data is slow to accumulate. I have occasional survivors. As they accumulate, and the bandit assigns accounts to exploring the missing vector space, evidence will accumulate and reddit's algorithm will show through. My current theory: topic interest. Reddit is serving a feed of posts, and reddit predicts our probability of clicking into each thread. The more humanly we behave (digging into subreddits within our topical interest area) the more reddit believes we are human. Especially with video dwell time; scrolling through videos is being used as evidence of topic interest. It's one big graph with embeddings. The algorithm serves us content, and measures us against our own interests.
can i join your team i run reddit accounts too using bitbrowser and webshare proxy