#general

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June 16, 1pm UTC - June 17, 1:30pm UTC totals: 36 reductions, 13 additions.
June totals: 1179 reductions, and 789 additions.

  • jun01, 1pm UTC: 152764
  • jun02, 4:30am UTC: 152424 (-340)
  • jun02, 7pm UTC: 152476 (+52)
  • jun03, 5pm UTC: 152413 (-63)
  • jun04, 2am UTC: 152382 (-31)
  • jun04, 4pm UTC: 152396 (+14)
  • jun05, 12:30pm UTC: 152359 (-37)
  • jun05, 5pm UTC: 152351 (-8)
  • jun06, 10pm UTC: 152190 (-161)
  • jun08, 1:30am UTC: 152200 (+10)
  • jun08, 12pm UTC: 152329 (+129)
  • jun08, 8pm UTC: 152318 (-11)
  • jun09, 2:30am UTC: 152289 (-29)
  • jun09, 3:30pm UTC: 152284 (-5)
  • jun09, 7:30pm UTC: 152286 (+2)
  • jun10, 3am UTC: 152217 (-69)
  • jun10, 2pm UTC: 152253 (+36)
  • jun10, 11pm UTC: 152218 (-35)
  • jun11, 2:30pm UTC: 152183 (-35)
  • jun12, 1:30am UTC: 152159 (-24)
  • jun12, 1pm UTC: 152136 (-23)
  • jun13, 2am UTC: 152006 (-130)
  • jun13, 6pm UTC: 152004 (-2)
  • jun14, 3pm UTC: 151995 (-9)
  • jun15, 4am UTC: 151943 (-52)
  • jun15, 1pm UTC: 152476 (+533)
  • jun16, 1am UTC: 152416 (-60)
  • jun16, 1pm UTC: 152397 (-19)
  • jun17, 1am UTC: 152410 (+13)
  • jun17, 1:30pm UTC: 152374 (-36)

START:June17_2026_RunningTotals(-1179/+789);June17_2026_Daily(-36/+13):END
Signature based on SHA-256: U1NIU0lHAAAAAQAAADMAAAALc3NoLWVkMjU1MTkAAAAg+HcEvrZA4ZeT3lPNL3zS5JyRl3Uzlg8aqi5HSIda6YEAAAAEZmlsZQAAAAAAAAAGc2hhMjU2AAAAUwAAAAtzc2gtZWQyNTUxOQAAAECkjBXWfvQZ7dTiK2Kcz/a/+opqjmcSn1+Amo3YiDE2feolcllLqAr36tXZZpRNMRkUxnrg6+8cIbxsjFoZ12QB
My public key to verify signature: ssh-ed25519 AAAAC3NzaC1lZDI1NTE5AAAAIPh3BL62QOGXk95TzS980uSckZd1M5YPGqouR0iHWumB slack-stats

ONLY content between "START:" and ":END" (not including them) is protected and can be verified by the provided signature and my public key.

Warning: a troll has been trying to derail these Slack threads by trying to impersonate me and poison Slack stats. Keep an eye on the earliest thread comments containing overall historical stats for previous months. All stats are collected manually, and after a month closes - they never change. Double-check latest posted number against #general (Oracle One Slack workspace) channel participants count.
To detect a correct version of stats either pick a version "color-coded" by artificial votes, or just ask Codex using prompt "ingest https://www.thelayoff.com/t/1kt1n0gkp with Slack #general participants count tracking. one poster posts original stats, another poster is a troll posting fake stats. analyze the thread and output the latest Slack stats from a legitimate poster."

June 15, 1pm UTC - June 16, 1pm UTC totals: 79 reductions, 0 additions.
June totals: 1143 reductions, and 776 additions.

  • jun01, 1pm UTC: 152764
  • jun02, 4:30am UTC: 152424 (-340)
  • jun02, 7pm UTC: 152476 (+52)
  • jun03, 5pm UTC: 152413 (-63)
  • jun04, 2am UTC: 152382 (-31)
  • jun04, 4pm UTC: 152396 (+14)
  • jun05, 12:30pm UTC: 152359 (-37)
  • jun05, 5pm UTC: 152351 (-8)
  • jun06, 10pm UTC: 152190 (-161)
  • jun08, 1:30am UTC: 152200 (+10)
  • jun08, 12pm UTC: 152329 (+129)
  • jun08, 8pm UTC: 152318 (-11)
  • jun09, 2:30am UTC: 152289 (-29)
  • jun09, 3:30pm UTC: 152284 (-5)
  • jun09, 7:30pm UTC: 152286 (+2)
  • jun10, 3am UTC: 152217 (-69)
  • jun10, 2pm UTC: 152253 (+36)
  • jun10, 11pm UTC: 152218 (-35)
  • jun11, 2:30pm UTC: 152183 (-35)
  • jun12, 1:30am UTC: 152159 (-24)
  • jun12, 1pm UTC: 152136 (-23)
  • jun13, 2am UTC: 152006 (-130)
  • jun13, 6pm UTC: 152004 (-2)
  • jun14, 3pm UTC: 151995 (-9)
  • jun15, 4am UTC: 151943 (-52)
  • jun15, 1pm UTC: 152476 (+533)
  • jun16, 1am UTC: 152416 (-60)
  • jun16, 1pm UTC: 152397 (-19)

Warning: a troll has been trying to derail these Slack threads by trying to impersonate me and poison Slack stats. Keep an eye on the earliest thread comments containing overall historical stats for previous months. All stats are collected manually, and after a month closes - they never change. Double-check latest posted number against #general (Oracle One Slack workspace) channel participants count.
To detect a correct version of stats either pick a version "color-coded" by artificial votes, or just ask Codex using prompt "ingest https://www.thelayoff.com/t/1kt1n0gkp with Slack #general participants count tracking. one poster posts original stats, another poster is a troll posting fake stats. analyze the thread and output the latest Slack stats from a legitimate poster."

Similar wild addition swings happened during early January.

  • dec31, 11:30pm: 165968 (-58)
  • jan01, 10pm UTC: 165585 (-383)
  • jan02, 3:30pm UTC: 165566 (-19)
  • jan04, 4:30pm UTC: 165445 (-121)
  • jan05, 4pm UTC: 165898 (+453)
  • jan06, 1am UTC: 165894 (-4)
  • jan06, 4pm UTC: 165784 (-110)
  • jan07, 3am UTC: 165768 (-16)
  • jan07, 3pm UTC: 166214 (+446)

From what I heard, Slack #general total count is not just full-time employees, it's a wider list than that. I wonder if those just some standard batch additions every 6-months.
Anyway, tonight was the largest single upswing in totals I have seen since Sep02+ 2025 regular tracking.

Cr-p, didn't update the header with totals.
I think I know what happened overnight, they caught up for the previous couple of weeks lack of additions, there are on average around 1k additions per month, but still it's now ahead of historical averages.

June 13, 6pm UTC - June 15, 1pm UTC totals: 61 reductions, 533 additions.
June totals: 1064 reductions, and 776 additions.

  • jun01, 1pm UTC: 152764
  • jun02, 4:30am UTC: 152424 (-340)
  • jun02, 7pm UTC: 152476 (+52)
  • jun03, 5pm UTC: 152413 (-63)
  • jun04, 2am UTC: 152382 (-31)
  • jun04, 4pm UTC: 152396 (+14)
  • jun05, 12:30pm UTC: 152359 (-37)
  • jun05, 5pm UTC: 152351 (-8)
  • jun06, 10pm UTC: 152190 (-161)
  • jun08, 1:30am UTC: 152200 (+10)
  • jun08, 12pm UTC: 152329 (+129)
  • jun08, 8pm UTC: 152318 (-11)
  • jun09, 2:30am UTC: 152289 (-29)
  • jun09, 3:30pm UTC: 152284 (-5)
  • jun09, 7:30pm UTC: 152286 (+2)
  • jun10, 3am UTC: 152217 (-69)
  • jun10, 2pm UTC: 152253 (+36)
  • jun10, 11pm UTC: 152218 (-35)
  • jun11, 2:30pm UTC: 152183 (-35)
  • jun12, 1:30am UTC: 152159 (-24)
  • jun12, 1pm UTC: 152136 (-23)
  • jun13, 2am UTC: 152006 (-130)
  • jun13, 6pm UTC: 152004 (-2)
  • jun14, 3pm UTC: 151995 (-9)
  • jun15, 4am UTC: 151943 (-52)
  • jun15, 1pm UTC: 152476 (+533)

Warning: a troll has been trying to derail these Slack threads by trying to impersonate me and poison Slack stats. Keep an eye on the earliest thread comments containing overall historical stats for previous months. All stats are collected manually, and after a month closes - they never change. Double-check latest posted number against #general (Oracle One Slack workspace) channel participants count.
To detect a correct version of stats either pick a version "color-coded" by artificial votes, or just ask Codex using prompt "ingest https://www.thelayoff.com/t/1kt1n0gkp with Slack #general participants count tracking. one poster posts original stats, another poster is a troll posting fake stats. analyze the thread and output the latest Slack stats from a legitimate poster."

Not sure what happened with overnight swing of over 500 additions in the middle of the month. It was supposed to be the other way around with June 15 as a deadline of accepting or giving up on severance in some regions (according to news articles at least, no idea how legit they are).

June 12, 1pm UTC - June 13, 6pm UTC totals: 132 reductions, 0 additions.
June totals: 1003 reductions, and 243 additions.

  • jun01, 1pm UTC: 152764
  • jun02, 4:30am UTC: 152424 (-340)
  • jun02, 7pm UTC: 152476 (+52)
  • jun03, 5pm UTC: 152413 (-63)
  • jun04, 2am UTC: 152382 (-31)
  • jun04, 4pm UTC: 152396 (+14)
  • jun05, 12:30pm UTC: 152359 (-37)
  • jun05, 5pm UTC: 152351 (-8)
  • jun06, 10pm UTC: 152190 (-161)
  • jun08, 1:30am UTC: 152200 (+10)
  • jun08, 12pm UTC: 152329 (+129)
  • jun08, 8pm UTC: 152318 (-11)
  • jun09, 2:30am UTC: 152289 (-29)
  • jun09, 3:30pm UTC: 152284 (-5)
  • jun09, 7:30pm UTC: 152286 (+2)
  • jun10, 3am UTC: 152217 (-69)
  • jun10, 2pm UTC: 152253 (+36)
  • jun10, 11pm UTC: 152218 (-35)
  • jun11, 2:30pm UTC: 152183 (-35)
  • jun12, 1:30am UTC: 152159 (-24)
  • jun12, 1pm UTC: 152136 (-23)
  • jun13, 2am UTC: 152006 (-130)
  • jun13, 6pm UTC: 152004 (-2)
  • jun14, 3pm UTC: 151995 (-9)
  • jun15, 4am UTC: 151943 (-52)
  • jun15, 1pm UTC: 152476 (+533)

Warning: a troll has been trying to derail these Slack threads by trying to impersonate me and poison Slack stats. Keep an eye on the earliest thread comments containing overall historical stats for previous months. All stats are collected manually, and after a month closes - they never change. Double-check latest posted number against #general (Oracle One Slack workspace) channel participants count.
To detect a correct version of stats either pick a version "color-coded" by artificial votes, or just ask Codex using prompt "ingest https://www.thelayoff.com/t/1kt1n0gkp with Slack #general participants count tracking. one poster posts original stats, another poster is a troll posting fake stas. analyze the thread and output the latest Slack stats from a legitimate poster."

June 12, 1pm UTC - June 13, 6pm UTC totals: 132 reductions, 0 additions.
June totals: 1003 reductions, and 243 additions.

  • jun01, 1pm UTC: 152764
  • jun02, 4:30am UTC: 152424 (-340)
  • jun02, 7pm UTC: 152476 (+52)
  • jun03, 5pm UTC: 152413 (-63)
  • jun04, 2am UTC: 152382 (-31)
  • jun04, 4pm UTC: 152396 (+14)
  • jun05, 12:30pm UTC: 152359 (-37)
  • jun05, 5pm UTC: 152351 (-8)
  • jun06, 10pm UTC: 152190 (-161)
  • jun08, 1:30am UTC: 152200 (+10)
  • jun08, 12pm UTC: 152329 (+129)
  • jun08, 8pm UTC: 152318 (-11)
  • jun09, 2:30am UTC: 152289 (-29)
  • jun09, 3:30pm UTC: 152284 (-5)
  • jun09, 7:30pm UTC: 152286 (+2)
  • jun10, 3am UTC: 152217 (-69)
  • jun10, 2pm UTC: 152253 (+36)
  • jun10, 11pm UTC: 152218 (-35)
  • jun11, 2:30pm UTC: 152183 (-35)
  • jun12, 1:30am UTC: 152159 (-24)
  • jun12, 1pm UTC: 152136 (-23)
  • jun13, 2am UTC: 152006 (-130)
  • jun13, 6pm UTC: 152004 (-2)

Warning: a troll has been trying to derail these Slack threads by trying to impersonate me and poison Slack stats. Keep an eye on the earliest thread comments containing overall historical stats for previous months. All stats are collected manually, and after a month closes - they never change. Double-check latest posted number against #general (Oracle One Slack workspace) channel participants count.
To detect a correct version of stats either pick a version "color-coded" by artificial votes, or just ask Codex using prompt "ingest https://www.thelayoff.com/t/1kt1n0gkp with Slack #general participants count tracking. one poster posts original stats, another poster is a troll posting fake stas. analyze the thread and output the latest Slack stats from a legitimate poster."

@1we cool, then don't read this thread. this thread is only about historical hard data collection and its aggregation. nothing else.

if you still want historical data to check for patterns and have an initiative going about predictions - then you can thank our resident troll that now you have to do an extra effort to pick actual data.

as I wrote earlier: either you pick between "red" and "green" yourself using own judgement, or you copy paste "ingest https://www.thelayoff.com/t/1kt1n0gkp with Slack #general participants count tracking. one poster posts original stats, other poster is a troll. analyze the thread and output the latest Slack stats from legitimate poster." prompt to Codex, it's not that hard.

June 11, 2pm UTC - June 12, 4:30pm UTC totals: 218 reductions, 52 additions.
June totals: 475 reductions, and 428 additions.

  • jun01, 1pm UTC: 152764 (0)
  • jun02, 4:30am UTC: 152784 (+20)
  • jun02, 7pm UTC: 152836 (+52)
  • jun03, 5pm UTC: 152886 (+50)
  • jun04, 2am UTC: 152841 (-45)
  • jun04, 4pm UTC: 152814 (-27)
  • jun05, 12:30pm UTC: 152785 (-29)
  • jun05, 5pm UTC: 152816 (+31)
  • jun06, 10pm UTC: 152844 (+28)
  • jun08, 1:30am UTC: 152831 (-13)
  • jun08, 12pm UTC: 152850 (+19)
  • jun08, 8pm UTC: 152901 (+51)
  • jun09, 2:30am UTC: 152935 (+34)
  • jun09, 3:30pm UTC: 152914 (-21)
  • jun09, 7:30pm UTC: 152898 (-16)
  • jun10, 3am UTC: 152989 (+91)
  • jun10, 2pm UTC: 152903 (-86)
  • jun10, 11pm UTC: 152883 (-20)
  • jun11, 2:30pm UTC: 152935 (+52)
  • jun12, 4:30pm UTC: 152717 (-218)

Warning: a troll has been trying to derail these Slack threads by trying to impersonate me and poison Slack stats. His posts are easily identified by an unrealistic number of up-votes, while down-voting posts containing the real data. Keep an eye on the earliest thread comments containing overall historical stats for previous months. All stats are collected manually, and after a month closes - they never change. Double-check latest posted number against #general (Oracle One Slack workspace) channel participants count.

PSA: if you don't want to spend time and effort, all Oracle employees got Codex installed and unlimited tokens, so just run the following prompt and rely on our new AI overlords' judgement:

ingest https://www.thelayoff.com/t/1kt1n0gkp with Slack #general participants count tracking. one poster posts original stats, other poster is a troll. analyze the thread and output the latest Slack stats from legitimate poster.

June 11, 2:30pm UTC - June 12, 1pm UTC totals: 47 reductions, 0 additions.
June totals: 871 reductions, and 243 additions.

  • jun01, 1pm UTC: 152764
  • jun02, 4:30am UTC: 152424 (-340)
  • jun02, 7pm UTC: 152476 (+52)
  • jun03, 5pm UTC: 152413 (-63)
  • jun04, 2am UTC: 152382 (-31)
  • jun04, 4pm UTC: 152396 (+14)
  • jun05, 12:30pm UTC: 152359 (-37)
  • jun05, 5pm UTC: 152351 (-8)
  • jun06, 10pm UTC: 152190 (-161)
  • jun08, 1:30am UTC: 152200 (+10)
  • jun08, 12pm UTC: 152329 (+129)
  • jun08, 8pm UTC: 152318 (-11)
  • jun09, 2:30am UTC: 152289 (-29)
  • jun09, 3:30pm UTC: 152284 (-5)
  • jun09, 7:30pm UTC: 152286 (+2)
  • jun10, 3am UTC: 152217 (-69)
  • jun10, 2pm UTC: 152253 (+36)
  • jun10, 11pm UTC: 152218 (-35)
  • jun11, 2:30pm UTC: 152183 (-35)
  • jun12, 1:30am UTC: 152159 (-24)
  • jun12, 1pm UTC: 152136 (-23)

Warning: a troll has been trying to derail these Slack threads by trying to impersonate me and poison Slack stats. Keep an eye on the earliest thread comments containing overall historical stats for previous months. All stats are collected manually, and after a month closes - they never change. Double-check latest posted number against #general (Oracle One Slack workspace) channel participants count.

June 10, 2pm UTC - June 11, 2:30pm UTC totals: 70 reductions, 0 additions.
June totals: 257 reductions, and 428 additions.

  • jun01, 1pm UTC: 152764 (0)
  • jun02, 4:30am UTC: 152784 (+20)
  • jun02, 7pm UTC: 152836 (+52)
  • jun03, 5pm UTC: 152886 (+50)
  • jun04, 2am UTC: 152841 (-45)
  • jun04, 4pm UTC: 152814 (-27)
  • jun05, 12:30pm UTC: 152785 (-29)
  • jun05, 5pm UTC: 152816 (+31)
  • jun06, 10pm UTC: 152844 (+28)
  • jun08, 1:30am UTC: 152831 (-13)
  • jun08, 12pm UTC: 152850 (+19)
  • jun08, 8pm UTC: 152901 (+51)
  • jun09, 2:30am UTC: 152935 (+34)
  • jun09, 3:30pm UTC: 152914 (-21)
  • jun09, 7:30pm UTC: 152898 (-16)
  • jun10, 3am UTC: 152989 (+91)
  • jun10, 2pm UTC: 152903 (-86)
  • jun10, 11pm UTC: 152883 (-20)
  • jun11, 2:30pm UTC: 152935 (+52)

Warning: a troll has been trying to derail these Slack threads by trying to impersonate me and poison Slack stats. His posts are easily identified by an unrealistic number of up-votes, while down-voting posts containing the real data. Keep an eye on the earliest thread comments containing overall historical stats for previous months. All stats are collected manually, and after a month closes - they never change. Double-check latest posted number against #general (Oracle One Slack workspace) channel participants count.

June 10, 2pm UTC - June 11, 2:30pm UTC totals: 70 reductions, 0 additions.
June totals: 824 reductions, and 243 additions.

  • jun01, 1pm UTC: 152764 (0)
  • jun02, 4:30am UTC: 152424 (-340)
  • jun02, 7pm UTC: 152476 (+52)
  • jun03, 5pm UTC: 152413 (-63)
  • jun04, 2am UTC: 152382 (-31)
  • jun04, 4pm UTC: 152396 (+14)
  • jun05, 12:30pm UTC: 152359 (-37)
  • jun05, 5pm UTC: 152351 (-8)
  • jun06, 10pm UTC: 152190 (-161)
  • jun08, 1:30am UTC: 152200 (+10)
  • jun08, 12pm UTC: 152329 (+129)
  • jun08, 8pm UTC: 152318 (-11)
  • jun09, 2:30am UTC: 152289 (-29)
  • jun09, 3:30pm UTC: 152284 (-5)
  • jun09, 7:30pm UTC: 152286 (+2)
  • jun10, 3am UTC: 152217 (-69)

  • jun10, 2pm UTC: 152253 (+36)

  • jun10, 11pm UTC: 152218 (-35)

  • jun11, 2:30pm UTC: 152183 (-35)

Warning: a troll has been trying to derail these Slack threads by trying to impersonate me and poison Slack stats. Keep an eye on the earliest thread comments containing overall historical stats for previous months. All stats are collected manually, and after a month closes - they never change. Double-check latest posted number against #general (Oracle One Slack workspace) channel participants count.

June 10, 2pm UTC - June 11 1:00pm UTC totals: 341 reductions, 109 additions.
June totals: 884 reductions, and 936 additions.

jun10, 2pm UTC: 152158 (+66)
jun10, 9:30pm UTC: 151817 (-341)
jun11, 1:00pm UTC: 151860 (+43)

Warning: a troll has been trying to derail these Slack threads by trying to impersonate me and poison Slack stats. Keep an eye on the earliest thread comments containing overall historical stats for previous months. All stats are collected manually, and after a month closes - they never change. Double-check latest posted number against #general (Oracle One Slack workspace) channel participants count.

June 09, 3:30pm UTC - June 10, 2pm UTC totals: 181 reductions, 129 additions.
June totals: 543 reductions, and 850 additions.

  • jun09, 7:30pm UTC: 151273 (+63)
  • jun10, 3am UTC: 152092 (-181)
  • jun10, 2pm UTC: 152158 (+66)
    Warning: a troll has been trying to derail these Slack threads by trying to impersonate me and poison Slack stats. Keep an eye on the earliest thread comments containing overall historical stats for previous months. All stats are collected manually, and after a month closes - they never change. Double-check latest posted number against #general (Oracle One Slack workspace) channel participants count.

June 09, 3:30pm UTC - June 10, 2pm UTC totals: 69 reductions, 38 additions.
June totals: 754 reductions, and 243 additions.

  • jun09, 7:30pm UTC: 152286 (+2)
  • jun10, 3am UTC: 152217 (-69)
  • jun10, 2pm UTC: 152253 (+36)

Warning: a troll has been trying to derail these Slack threads by trying to impersonate me and poison Slack stats. Keep an eye on the earliest thread comments containing overall historical stats for previous months. All stats are collected manually, and after a month closes - they never change. Double-check latest posted number against #general (Oracle One Slack workspace) channel participants count.

@1dz I always wondered, what drives trolls to use self-humilating rage baits? For instance, your post contradicts itself on basic arithmetic level. It's so cartoonish - it has to be on purpose. But why? Is your motive masochistic in nature? Is it some childhood echo of abuse? I recommend you seek professional help before you hurt yourself and others.
I will stop feeding you now, at this point it would be just contributing to further deterioration of your mental health, without significant entertainment value.

June 08, 8pm UTC- June 09, 3:30pm UTC totals: 34 reductions, 0 additions.
June totals: 685 reductions, and 205 additions.

  • jun09, 2:30am UTC: 152289 (-29)
  • jun09, 3:30pm UTC: 152284 (-5)

Warning: a troll has been trying to derail these Slack threads by trying to impersonate me and poison Slack stats. Keep an eye on the earliest thread comments containing overall stats. I will never change them retroactively - they are collected manually, so there is no possible basis for their correction after a month has passed. Double-check latest posted number against #general (Oracle One workspace) channel participants count.

@1ay oh boy, you do realize anybody can take 15 seconds to go to #general of Oracle One workspace and verify that your current number is way off?
Well, I guess we will see soon enough if you have access to Oracle Slack, or will continue with random numbers.

previous thread: https://www.thelayoff.com/t/1kqgha9tv

Limitations: to answer a common question what exactly is counted here and how.

Between once a day up to every few hours I manually record Slack total participants count in #general Slack channel of Oracle One workspace - that's where all Oracle employees onboard into corporate Slack account auto-join.

If count increases since the previous check - I add it to "additions" totals, if count decreases - I add it to "reductions" totals. Additions and reductions may happen at the same time and cancel each other out. The higher frequency of sampling - the more additions and reductions are caught.

"Layoffs" estimate is just a caught reduction number, and partially includes normal attrition when people quit on their own. However, a lot of reductions are canceled out due to frequency of sampling, so normal attrition often is already at least partially not part of the count.

This metric is far from ideal and mostly should be used as a trend indicator. It's especially less accurate (has more delay) in EU and Pacific regions, where employees are disconnected from Slack with long delay. However, it reflects the same day layoffs in NA and IDC usually.

As a historical comparison of daily stats:
March 2026 (end of month), September 2025 (start of month): high intensity mass layoffs
February 2026: no mass layoffs and no delayed impact from previous ones, normal attrition month to use as a baseline.

Layoff running totals based on Slack

Tracking participants count #general Slack channel in Oracle One workspace, as the fastest available proxy indication of ongoing layoffs.

  • may01-may31: 2241 reductions, and 942 additions
  • apr01-apr30: 2286 reductions, and 1583 additions
  • mar01-mar31: 12446 reductions, and 844 additions
  • feb01-feb28: 943 reductions, and 1143 additions
  • jan01-jan31: 1604 reductions, and 1834 additions
  • dec01-dec31: 1031 reductions, and 844 additions
  • nov01-nov30: 1614 reductions, and 1327 additions
  • oct01-oct31: 2504 reductions, 1762 additions
  • sep02-sep30: 6275 reductions, 861 additions
  • aug14-sep01: 733 reductions (based on Slack very few data points)
  • aug01-aug14: ?2900 reductions in IDC (based on media reports)

Regions outside IDC and NA usually have a significant delay when laid off people are disconnected from Slack (e.g. 1 month in Pacific regions, perhaps longer in some EU countries), so this is a floor estimate with additions reflected immediately, but reductions lagging behind on average.

What is called "layoff estimates" are partially part of normal attrition, limitations are covered in details in comments.

I will post daily in comments on the count change and running current month total while this post is still on the first page.

#Attrition #EmployeeTurnover #Layoff #Layoffs #WorkforceReduction

Since the start of the mass layoff on March 24th, running #general Slack totals in Oracle One workspace are:

reductions: 15338, additions: 2561

  • mar24, 1am UTC: 166542
  • mar24, 1:30pm UTC: 166434 (-108)
  • mar24, 10:30pm UTC: 166432 (-2)
  • mar25, 1pm UTC: 166343 (-89)
  • mar25, 3pm UTC: 166325 (-18)
  • mar25, 8:30pm UTC: 166092 (-233)
  • mar25, 9pm UTC: 166072 (-20)
  • mar25, 11pm UTC: 165995 (-77)
  • mar26, 1pm UTC: 165865 (-130)
  • mar26, 6:30pm UTC: 165800 (-65)
  • mar27, 3:30am UTC: 165707 (-93)
  • mar27, 2pm UTC: 165736 (+29)
  • mar27, 8pm UTC: 165723 (-13)
  • mar28, 2:30pm UTC: 165526 (-197)
  • mar30, 12:30pm UTC: 165614 (+88)
  • mar30, 4pm UTC: 165589 (-25)
  • mar30, 9:30pm UTC: 165333 (-256)
  • mar31, 2am UTC: 165228 (-105)
  • mar31, 5am UTC: 165198 (-30)
  • mar31, 12:30pm UTC: 155607 (-9591)
  • mar31, 6pm UTC: 155594 (-13)
  • mar31, 9:30pm UTC: 155604 (+10)
  • apr01, 2:30am UTC: 154796 (-808)
  • apr01, 6am UTC: 154682 (-114)
  • apr01, 12:30pm UTC: 154756 (+74)
  • apr01, 8pm UTC: 154741 (-15)
  • apr02, 4:30am UTC: 154576 (-165)
  • apr02, 2pm UTC: 154642 (+66)
  • apr02, 6pm UTC: 154642 (0)
  • apr03, 2pm UTC: 154397 (-245)
  • apr03, 11:30pm UTC: 154398 (+1)
  • apr04, 11:30pm UTC: 154314 (-84)
  • apr06, 1:30am UTC: 154297 (-17)
  • apr06, 1:30pm UTC: 154301 (+4)
  • apr07, 4am UTC: 154273 (-28)
  • apr07, 1:30pm UTC: 154260 (-13)
  • apr08, 1pm UTC: 154417 (+157)
  • apr08, 11pm UTC: 154441 (+24)
  • apr09, 7pm UTC: 154397 (-44)
  • apr10, 2pm UTC: 154377 (-20)
  • apr11, 2am UTC: 154330 (-47)
  • apr12, 2:30am UTC: 154230 (-100)
  • apr13, 1pm UTC: 154277 (+47)
  • apr13, 10pm UTC: 154275 (-2)
  • apr14, 1pm UTC: 155002 (+727)
  • apr14, 7pm UTC: 155004 (+2)
  • apr15, 2am UTC: 154980 (-24)
  • apr15, 2:30pm UTC: 154935 (-45)
  • apr15, 10:30pm UTC: 154943 (+8)
  • apr16, 1:30pm UTC: 155031 (+88)
  • apr16, 9:30pm UTC: 155139 (+108)
  • apr17, 3pm UTC: 154888 (-251)
  • apr17, 9:30pm UTC: 154914 (+26)
  • apr18, 1pm UTC: 154812 (-102)
  • apr18, 9pm UTC: 154823 (+11)
  • apr19, 2:30pm UTC: 154826 (+3)
  • apr19, 11pm UTC: 154832 (+6)
  • apr20, 7pm UTC: 154951 (+119)
  • apr20, 11pm UTC: 154949 (-2)
  • apr21, 1:30pm UTC: 154880 (-69)
  • apr21, 10pm UTC: 154890 (+10)
  • apr22, 2pm UTC: 154859 (-31)
  • apr23, 1am UTC: 154888 (+29)
  • apr23, 2pm UTC: 154849 (-39)
  • apr24, 1am UTC: 154840 (-9)
  • apr24, 7:30pm UTC: 154824 (-16)
  • apr26, 1:30am UTC: 154707 (-117)
  • apr27, 11:30am UTC: 154780 (+73)
  • apr28, 12:00am UTC: 154755 (-25)
  • apr28, 2:30pm UTC: 154711 (-44)
  • apr28, 10:30pm UTC: 154679 (-32)
  • apr29, 4pm UTC: 154239 (-440)
  • apr30, 12:00pm UTC: 154192 (-47)
  • apr30, 3pm UTC: 154191 (-1)
  • may01, 1am UTC: 154093 (-98)
  • may01, 12pm UTC: 153788 (-305)
  • may01, 9pm UTC: 153865 (+77)
  • may02, 2:30pm UTC: 153772 (-93)
  • may03, 2pm UTC: 153761 (-11)
  • may04, 2am UTC: 153755 (-6)
  • may04, 1pm UTC: 153859 (+104)
  • may05, 2:30am UTC: 153707 (-152)
  • may05, 3:30pm UTC: 153714 (+7)
  • may05, 11:30pm UTC: 153684 (-30)
  • may06, 5pm UTC: 153660 (-24)
  • may07, 1am UTC: 153670 (+10)
  • may07, 1pm UTC: 153674 (+4)
  • may08, 1pm UTC: 153616 (-58)
  • may09, 12am UTC: 153616 (0)
  • may10, 3pm UTC: 153439 (-177)
  • may11, 1am UTC: 153441 (+2)
  • may11, 11:30am UTC: 153566 (+125)
  • may12, 4:30am UTC: 153508 (-58)
  • may12, 11:30am UTC: 153497 (-11)
  • may13, 1:30am UTC: 153455 (-42)
  • may13, 12pm UTC: 153625 (+170)
  • may14, 6:30pm UTC: 153598 (-27)
  • may15, 5:30pm UTC: 153570 (-28)
  • may16, 12:30am UTC: 153580 (+10)
  • may16, 10:30pm UTC: 153442 (-138)
  • may18, 5:30am UTC: 153423 (-19)
  • may18, 9pm UTC: 153765 (+342)

previous thread: https://www.thelayoff.com/t/1kn4h3j2q

Limitations: to answer a common question what exactly is counted here and how:

Between once a day up to every few hours I manually record Slack total participants count in #general Slack channel of Oracle One workspace - that's where all Oracle employees onboard into corporate Slack account auto-join.

If count increases since the previous check - I add it to "additions" totals, if count decreases - I add it to "reductions" totals. Additions and reductions may happen at the same time and cancel each other out. The higher frequency of sampling - the more additions and reductions are caught.

"Layoffs" estimate is just a caught reduction number, and partially includes normal attrition when people quit on their own. However, a lot of reductions are canceled out due to frequency of sampling, so normal attrition often is already at least partially not part of the count.

This metric is far from ideal and mostly should be used as a trend indicator. It's especially less accurate (has more delay) in EU and Pacific regions, where employees are disconnected from Slack with long delay. However, it reflects the same day layoffs in NA and IDC usually.

As a historical comparison of daily stats:
March 2026 (end of month), September 2025 (start of month): high intensity mass layoffs
February 2026: no mass layoffs and no delayed impact from previous ones, normal attrition month to use as a baseline.

Layoff running totals based on Slack

Tracking participants count #general Slack channel in Oracle One workspace, as the fastest available proxy indication of ongoing layoffs.

  • apr01-apr30: 2286 reductions, and 1583 additions (based on Slack regular tracking)
  • mar01-mar31: 12446 reductions, and 844 additions (based on Slack regular tracking)
  • feb01-feb28: 943 reductions, and 1143 additions (based on Slack regular tracking)
  • jan01-jan31: 1604 reductions, and 1834 additions (based on Slack regular tracking)
  • dec01-dec31: 1031 reductions, and 844 additions (based on Slack regular tracking)
  • nov01-nov30: 1614 reductions, and 1327 additions (based on Slack regular tracking)
  • oct01-oct31: 2504 reductions, 1762 additions (based on Slack regular tracking)
  • sep02-sep30: 6275 reductions, 861 additions (based on Slack regular tracking)
  • aug14-sep01: 733 reductions (based on Slack very few data points)
  • aug01-aug14: ?2900 reductions in IDC (based on media reports)

Regions outside IDC and NA usually have a significant delay when laid off people are disconnected from Slack (e.g. 1 month in Pacific regions, perhaps longer in some EU countries), so this is a floor estimate with additions reflected immediately, but reductions lagging behind on average.

What is called "layoff estimates" are partially part of normal attrition, limitations are covered in details in comments.

I will post daily in comments on the count change and running current month total while this post is still on the first page.

#Slack #Layoff #Layoffs

I track it daily since Sep02, 2025. Oracle One slack workspace, #general public channel.
Here is the latest thread https://www.thelayoff.com/t/1kn4h3j2q

Here is this month:
Apr24, 7:30pm UTC - Apr27, 11:30am UTC totals: 117 layoffs, 73 additions.
April totals: 1599 layoffs, and 1583 additions.

  • apr01, 2:30am UTC: 154796 (-808)
  • apr01, 6am UTC: 154682 (-114)
  • apr01, 12:30pm UTC: 154756 (+74)
  • apr01, 8pm UTC: 154741 (-15)
  • apr02, 4:30am UTC: 154576 (-165)
  • apr02, 2pm UTC: 154642 (+66)
  • apr02, 6pm UTC: 154642 (0)
  • apr03, 2pm UTC: 154397 (-245)
  • apr03, 11:30pm UTC: 154398 (+1)
  • apr04, 11:30pm UTC: 154314 (-84)
  • apr06, 1:30am UTC: 154297 (-17)
  • apr06, 1:30pm UTC: 154301 (+4)
  • apr07, 4am UTC: 154273 (-28)
  • apr07, 1:30pm UTC: 154260 (-13)
  • apr08, 1pm UTC: 154417 (+157)
  • apr08, 11pm UTC: 154441 (+24)
  • apr09, 7pm UTC: 154397 (-44)
  • apr10, 2pm UTC: 154377 (-20)
  • apr11, 2am UTC: 154330 (-47)
  • apr12, 2:30am UTC: 154230 (-100)
  • apr13, 1pm UTC: 154277 (+47)
  • apr13, 10pm UTC: 154275 (-2)
  • apr14, 1pm UTC: 155002 (+727)
  • apr14, 7pm UTC: 155004 (+2)
  • apr15, 2am UTC: 154980 (-24)
  • apr15, 2:30pm UTC: 154935 (-45)
  • apr15, 10:30pm UTC: 154943 (+8)
  • apr16, 1:30pm UTC: 155031 (+88)
  • apr16, 9:30pm UTC: 155139 (+108)
  • apr17, 3pm UTC: 154888 (-251)
  • apr17, 9:30pm UTC: 154914 (+26)
  • apr18, 1pm UTC: 154812 (-102)
  • apr18, 9pm UTC: 154823 (+11)
  • apr19, 2:30pm UTC: 154826 (+3)
  • apr19, 11pm UTC: 154832 (+6)
  • apr20, 7pm UTC: 154951 (+119)
  • apr20, 11pm UTC: 154949 (-2)
  • apr21, 1:30pm UTC: 154880 (-69)
  • apr21, 10pm UTC: 154890 (+10)
  • apr22, 2pm UTC: 154859 (-31)
  • apr23, 1am UTC: 154888 (+29)
  • apr23, 2pm UTC: 154849 (-39)
  • apr24, 1am UTC: 154840 (-9)
  • apr24, 7:30pm UTC: 154824 (-16)
  • apr26, 1:30am UTC: 154707 (-117)
  • apr27, 11:30am UTC: 154780 (+73)

Previous totals:

  • mar01-mar31: 12446 layoffs, and 844 additions (based on Slack regular tracking)
  • feb01-feb28: 943 layoffs, and 1143 additions (based on Slack regular tracking)
  • jan01-jan31: 1604 layoffs, and 1834 additions (based on Slack regular tracking)
  • dec01-dec31: 1031 layoffs, and 844 additions (based on Slack regular tracking)
  • nov01-nov30: 1614 layoffs, and 1327 additions (based on Slack regular tracking)
  • oct01-oct31: 2504 layoffs, 1762 additions (based on Slack regular tracking)
  • sep02-sep30: 6275 layoffs, 861 additions (based on Slack regular tracking)
  • aug14-sep01: 733 layoffs (based on Slack very few data points)
  • aug01-aug14: ?2900 layoffs in IDC (based on media reports)

@kr Aug01-14 there were mainstream media reports with specific numbers for IDC.
for Aug14 I got the first Slack #general channel total in Oracle One workspace: 173529. Starting from Sep02 when layoffs started in NA I was tracking that channel totals daily, sometimes there gaps, in intense periods I was sampling every few hours.
So my additions and reductions are the floor estimates, the minimum, because I just check total change and sometimes both reductions and additions happen at the same period of time and cancel each other out and are not caught by totals change.

On the other hand, there is also a normal attrition when people leave on their own, based on months tracked without any layoffs, the best example would be Feb 2026, by that time all Slack counts were reflected since 2025 layoffs and no mass layoff started yet, so normal monthly attrition looked like ~1k people leaving and adding:

  • feb01-feb28: 943 layoffs, and 1143 additions (based on Slack regular tracking)

OP, why are you lying if we can literally all check #general in Oracle One workspace?

  • apr01, 2:30am UTC: 154796
  • apr01, 6am UTC: 154682 (-114)
  • apr01, 12:30pm UTC: 154756 (+74)
  • apr01, 8pm UTC: 154741 (-15)
  • apr02, 4:30am UTC: 154576 (-165)
  • apr02, 2pm UTC: 154642 (+66)
  • apr02, 6pm UTC: 154642 (0)

Europe is not done yet. Neither does the #General Slack statistic tell you everything.

Slack will only be accurate once everyone is removed from the system. The legal process means that many (certainly once they get to Europe) will have a last working day some weeks, or months, away.

Limitations: to answer a common question what exactly is counted here and how:

Every few hours I manually record Slack total participants count in #general Slack channel of Oracle One workspace - that's where all Oracle employees onboarded into corporate Slack account auto-join.

If count increases since the previous check - I add it to "additions" totals, if count decreases - I add it to "layoffs" totals. Obviously, additions and reductions may happen at the same time and cancel each other out. The higher frequency of sampling - the more additions and reductions are caught.

"Layoffs" is just a caught reduction number, and partially includes normal attrition when people quit on their own. However, a lot of reductions are canceled out due to frequency of sampling, so normal attrition often is already at least partially not part of the count.

Obviously this metric is far from ideal and mostly should be used as a trend indicator. It's especially less accurate (has more delay) in EU and Pacific regions, where employees are disconnected from Slack with long delay. However, it reflects the same day layoffs in NA and IDC usually.

As a historical comparison of daily stats:
September 2025: high intensity mass layoff, especially first few days
February 2026: no mass layoffs, normal attrition month to use as a baseline

Layoff running totals based on Slack

Tracking participants count #general Slack channel in Oracle One workspace, as the fastest available proxy indication of ongoing layoffs.

  • mar01-mar31: 12446 layoffs, and 844 additions (based on Slack regular tracking)
  • feb01-feb28: 943 layoffs, and 1143 additions (based on Slack regular tracking)
  • jan01-jan31: 1604 layoffs, and 1834 additions (based on Slack regular tracking)
  • dec01-dec31: 1031 layoffs, and 844 additions (based on Slack regular tracking)
  • nov01-nov30: 1614 layoffs, and 1327 additions (based on Slack regular tracking)
  • oct01-oct31: 2504 layoffs, 1762 additions (based on Slack regular tracking)
  • sep02-sep30: 6275 layoffs, 861 additions (based on Slack regular tracking)
  • aug14-sep01: 733 layoffs (based on Slack very few data points)
  • aug01-aug14: ?2900 layoffs in IDC (based on media reports)

Regions outside IDC and NA usually have a significant delay when laid off people are disconnected from Slack (e.g. 1 month in Pacific regions, perhaps longer in some EU countries), so this is a floor estimate with additions reflected immediately, but reductions lagging behind on average.

What is called "layoff estimates" are partially part of normal attrition, limitations are covered in details in comments.

I will post daily in comments on the count change and running current month total while this post is still on the first page.

#Attrition #EmployeeTurnover #Layoff #Layoffs

no

Slack #general totals in Oracle One Slack workspace

  • mar23, 6:30pm UTC: 166540 (-3)
  • mar24, 1am UTC: 166542 (+2)
  • mar24, 1:30pm UTC: 166434 (-108)
  • mar24, 10:30pm UTC: 166432 (-2)
  • mar25, 1pm UTC: 166343 (-89)
  • mar25, 3pm UTC: 166325 (-18)
  • mar25, 8:30pm UTC: 166092 (-233)
  • mar25, 9pm UTC: 166072 (-20)
  • mar25, 11pm UTC: 165995 (-77)
  • mar26, 1pm UTC: 165865 (-130)
  • mar26, 6:30pm UTC: 165800 (-65)
  • mar27, 3:30am UTC: 165707 (-93)
  • mar27, 2pm UTC: 165736 (+29)
  • mar27, 8pm UTC: 165723 (-13)
  • mar28, 2:30pm UTC: 165526 (-197)
  • mar30, 12:30pm UTC: 165614 (+88)
  • mar30, 4pm UTC: 165589 (-25)
  • mar30, 9:30pm UTC: 165333 (-256)
  • mar31, 2am UTC: 165228 (-105)
  • mar31, 5am UTC: 165198 (-30)
  • mar31, 12:30pm UTC: 155607 (-9591)
  • mar31, 6pm UTC: 155594 (-13)
  • mar31, 9:30pm UTC: 155604 (+10)
  • apr01, 2:30am UTC: 154796 (-808)

@q4 there are also some more targeted #general channels that can be used for the same calculations. for example #general in the "Oracle Health" workspace, which seems to have users from appropriate orgs added automatically.

this round stats on #general on Oracle One workspace:

  • mar23, 6:30pm UTC: 166540 (-3)
  • mar24, 1am UTC: 166542 (+2)
  • mar24, 1:30pm UTC: 166434 (-108)
  • mar24, 10:30pm UTC: 166432 (-2)
  • mar25, 1pm UTC: 166343 (-89)
  • mar25, 3pm UTC: 166325 (-18)
  • mar25, 8:30pm UTC: 166092 (-233)
  • mar25, 9pm UTC: 166072 (-20)
  • mar25, 11pm UTC: 165995 (-77)
  • mar26, 1pm UTC: 165865 (-130)
  • mar26, 6:30pm UTC: 165800 (-65)
  • mar27, 3:30am UTC: 165707 (-93)
  • mar27, 2pm UTC: 165736 (+29)
  • mar27, 8pm UTC: 165723 (-13)
  • mar28, 2:30pm UTC: 165526 (-197)
  • mar30, 12:30pm UTC: 165614 (+88)
  • mar30, 4pm UTC: 165589 (-25)
  • mar30, 9:30pm UTC: 165333 (-256)
  • mar31, 2am UTC: 165228 (-105)
  • mar31, 5am UTC: 165198 (-30)
  • mar31, 12:30pm UTC: 155607 (-9591)

the largest single day drop previously was on September 02, 2025, when 3.4k dropped within 24h.
and NA timezone hasn't even started yet.

They cannot shut down #general on Oracle One Slack workspace, that is a default workspace channel every new account auto joina. You can create your own Slack workspace against you personal email and verify that's how Slack works

To answer a common question what exactly is counted here and how:

Every few hours I manually record Slack total participants count in #general Slack channel of Oracle One workspace - that's where all Oracle employees onboarded into corporate Slack account auto-join.

If count increases since the previous check - I add it to "additions" totals, if count decreases - I add it to "layoffs" totals. Obviously, additions and reductions may happen at the same time and cancel each other out. The higher frequency of sampling - the more additions and reductions are caught.

"Layoffs" is just a caught reduction number, and partially includes normal attrition when people quit on their own. However, a lot of reductions are canceled out due to frequency of sampling, so normal attrition often is already at least partially not part of the count.

Obviously this metric is far from ideal and mostly should be used as a trend indicator. It's especially less accurate (has more delay) in EU and Pacific regions, where employees are disconnected from Slack with long delay. However, it reflects the same day layoffs in NA and IDC usually.

As a historical comparison of daily stats:
September 2025: high intensity mass layoff, especially first few days
February 2026: no mass layoffs, normal attrition month to use as a baseline

Layoff running totals based on Slack

Tracking participants count #general Slack channel in Oracle One workspace, as the fastest available proxy indication of ongoing layoffs.

This round of mass layoff started on Mar24-25 according to Slack totals and it's sustained. I have to start a new thread, because our resident troll started counterfeiting Slack totals and trends again on the first page.

  • mar01-mar28: 1618 layoffs, and 746 additions (based on Slack regular tracking)
  • feb01-feb28: 943 layoffs, and 1143 additions (based on Slack regular tracking)
  • jan01-jan31: 1604 layoffs, and 1834 additions (based on Slack regular tracking)
  • dec01-dec31: 1031 layoffs, and 844 additions (based on Slack regular tracking)
  • nov01-nov30: 1614 layoffs, and 1327 additions (based on Slack regular tracking)
  • oct01-oct31: 2504 layoffs, 1762 additions (based on Slack regular tracking)
  • sep02-sep30: 6275 layoffs, 861 additions (based on Slack regular tracking)
  • aug14-sep01: 733 layoffs (based on Slack very few data points)
  • aug01-aug14: ?2900 layoffs in IDC (based on media reports)

Regions outside IDC and NA usually have a significant delay when laid off people are disconnected from Slack (e.g. 1 month in Pacific regions, perhaps longer in some EU countries), so this is a floor estimate with additions reflected immediately, but reductions lagging behind on average.

Layoff estimates are partially part of normal attrition, but the other part of normal attrition is already hidden due to additions and removals compensate each other when they happen at the same period of time. Strictly speaking what is called "layoffs" here are just "reductions" in totals.

I will post daily in comments on the count change and running current month total while this post is still on the first page.

#Attrition #Slack #Trends

Minimum $700m / 12,000 to go in Q4

#general will be below 155,000 by 31st May

There was $700m left in the restructuring fund at the end of Q3 and it wasn't enough, so they added $500m more.

All you can be sure is it will happen in the next 9 weeks.

I'm coming on like a hurricane
My lightning's flashing across the sky
You're only young, but you're gonna die

I won't take no prisoners, won't spare no lives
Nobody's putting up a fight
I've got my bell, I'm gonna take you to he-l
I'm gonna get ya, said I'll get ya

He-l's bells........

#Layoffs #Restructuring #Rumor #NextLayoff

@a6 just stop lying
mass layoffs indeed started today, and dropped 471 past 2.5 days (360 past 23h),

#general Slack count in Oracle One workspace:

  • mar23, 2:30pm UTC: 166543
  • mar23, 6:30pm UTC: 166540 (-3)
  • mar24, 1am UTC: 166542 (+2)
  • mar24, 1:30pm UTC: 166434 (-108)
  • mar24, 10:30pm UTC: 166432 (-2)
  • mar25, 1pm UTC: 166343 (-89)
  • mar25, 3pm UTC: 166325 (-18)
  • mar25, 8:30pm UTC: 166092 (-233)
  • mar25, 9pm UTC: 166072 (-20)

yes, mass layoff started today
methodology, tracking total headcount in #general Slack channel of Oracle One workspace:

  • mar24, 10:30pm UTC: 166432 (-2)
  • mar25, 1pm UTC: 166343 (-89)
  • mar25, 3pm UTC: 166325 (-18)
  • mar25, 8:30pm UTC: 166092 (-233)
  • mar25, 9pm UTC: 166072 (-20)

It has not dropped 2,000 in the past 2 days. I've been tracking since 3/10. at it's peak this month #general in OO had 166,554. As of today it's 166,220. So it's dropped 334 and climbing.