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r/IBM

37.2K members. The best post we have captured here reached 581 upvotes, which works out to 16 per 1,000 members.

16peak upvotes per 1,000 members
37.2Kmembers
581best post
316most comments
182posts we track

Open r/IBM on Reddit β†—

What actually lands here

The mix of post types among everything we have captured. Posting a link where almost nothing but images lands is wasted effort, and this is the fastest way to see it.

55% 17% 13% 9%
Text 55% Image 17% Link 13% Question 9% Gallery 5% Video 1%

The topics it labels

Flairs are the community's own categories, and the closest thing a subreddit has to telling you what it wants.

rant 6 employee 1 Comedy Gold 1

What the ceiling looks like

The biggest posts we have captured here. Links go to the original on Reddit.

Why are any of us still here? IBM is dying and we know it

↑ 581 πŸ’¬ 294 question 2024

This didn't age well....

↑ 552 πŸ’¬ 35 image 2025

To everyone getting the notice today...

↑ 548 πŸ’¬ 152 text 2025

IBM in a nutshell

↑ 472 πŸ’¬ 29 image 2024

Just got Fired from IBM for using travel router

↑ 466 πŸ’¬ 148 text 2025

I was laid off last month in the US. Today they filled my role with the same title and responsibilities with someone in Brazil.

↑ 438 πŸ’¬ 100 text 2024

Like if you agree that IBM hates it's U.S. employee's.

↑ 404 πŸ’¬ 102 text 2024

AN OPEN LETTER TO IBM LEADERSHIP REGARDING THE ELIMINATION OF 401(K) CONTRIBUTIONS

↑ 347 πŸ’¬ 117 text 2023

Life after IBM

↑ 342 πŸ’¬ 77 text 2025

Ordered back to the office, top tech talent left instead, study finds

↑ 332 πŸ’¬ 46 text 2024

Communities its size

Within four times the member count either way, so the comparison is fair. Sorted by upside.

See what is climbing here before you write

ViralHunt tracks Reddit and eight other networks, records how every post grows, and puts what is taking off in front of your team in one list.

Start free β†’

Every figure here is what ViralHunt has captured from r/IBM, not everything the community has ever posted. We deliberately do not publish an average score: our sample is weighted toward a community's best posts, so an average would be flattering and wrong. Peak per 1,000 members is computed the same way for every community listed. See how we measure.