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@amazonwebservices — TikTok avatar

@amazonwebservicesAWS

#AWS = Amazon Web Services Join us in the cloud. ☁️

card updated Sep 6, 2026 · 13 clips parsed · following 41 · 9,200,000 likes total

Open on TikTok ↗
Engagement1.76%below typical

Account summary

@amazonwebservices has 512,400 followers and 940 videos. Across the 13 parsed clips the average is 2,748,135 views and 47,864 likes. Engagement to views is 1.76%, which is below typical for TikTok. On the newer half of the feed the response is falling (−1.19 pp). Posts roughly 0.4 times a week. An average clip reaches 536% of the follower count.

Followers
512.4K
history is still being collected
Engagement
1.76%
−1.19 pp newer half
Average views
2.7M
median 10.1K
Likes per clip
47.9K
81 comments avg
Shares / saves
519 / 2K
0.07% of viewers save
Posting rate
0.4 / wk
reach 536% of followers

Engagement per clip

13 parsed clips · newest on the right · click a bar to open the clip peak: 6.0% ER
Jan 30Aug 6Sep 1
DateViewsLikesCommentsShares SavesER
Sep 1, 2026795253003.52%
Aug 28, 2026778193723.73%
Aug 18, 20263,781995372.83%
Aug 17, 20261,877573143.25%
Aug 11, 20261,300,0002,87075713360.23%
Aug 10, 20267,300,00070,1001238884,0130.97%
Aug 6, 20269,300,000175,5002341,3115,4491.90%
Aug 5, 20264,900,000166,4002001,4896,5083.43%
Aug 5, 20268,300,000122,2001591,5695,6041.49%
Aug 5, 20261,529504243.66%
Jun 25, 20264,600,00084,1002001,2663,4461.86%
Apr 24, 20266,8903141956465.65%
Jan 30, 202610,1004952589876.03%

Profile completeness

6/6

Latest clips

13 collected
We left the office & went inside a real lab where nature is teaching A — @amazonwebservices7950:29We left the office & went inside a real lab where nature is teaching AI to be more efficient. New series. First episode 25300Each @f1 car produces 1.1M data points per second. Track Pulse puts pi — @amazonwebservices7780:51Each @f1 car produces 1.1M data points per second. Track Pulse puts pit wall strategy in your hands. Ruth Buscombe shows19372We ran a 40-yard dash in Düsseldorf & the same tech tracking NFL playe — @amazonwebservices3.8K1:13We ran a 40-yard dash in Düsseldorf & the same tech tracking NFL players on game day was tracking us. AWS & the New Engl99537From mom's chicken to enterprise AI, Cloud Report makes the latest AWS — @amazonwebservices1.9K0:38From mom's chicken to enterprise AI, Cloud Report makes the latest AWS launches fun and easy to follow. Tune in every ot57314AI agents need security built in from day one. Matt Saner explains how — @amazonwebservices1.3M1:27AI agents need security built in from day one. Matt Saner explains how at Black Hat. Link in bio.2.9K7571336POV: You spent 20 minutes writing the perfect AI prompt with specific — @amazonwebservices7.3M1:04POV: You spent 20 minutes writing the perfect AI prompt with specific formatting, context windows, and persona instructi70.1K1238884KGeneric AI content won't solve real world challenges. At AWS re:Invent — @amazonwebservices9.3M0:27Generic AI content won't solve real world challenges. At AWS re:Invent, you'll get AI use cases and implementation stori175.5K2341.3K5.4KMaternal health guidance via SMS reaching 3 million mothers who don't — @amazonwebservices4.9M1:04Maternal health guidance via SMS reaching 3 million mothers who don't own smartphones. Open-source health records across166.4K2001.5K6.5KOk be honest. How many of you come back from PTO and spend the entire — @amazonwebservices8.3M0:49Ok be honest. How many of you come back from PTO and spend the entire first day just figuring out what happened while yo122.2K1591.6K5.6KPOV: your vector search doesn't slow down at a trillion vectors. Nativ — @amazonwebservices1.5K0:36POV: your vector search doesn't slow down at a trillion vectors. Native vector search in DynamoDB is now GA, single-digi50424Scale your AI inference, graphics, and analytics workloads with the GP — @amazonwebservices4.6M0:50Scale your AI inference, graphics, and analytics workloads with the GPU power to get you there. Amazon EC2 G7 instances 84.1K2001.3K3.4KIn the 80s, Jeff Barr got lost in Japan. He never really left. He’s be — @amazonwebservices6.9K1:23In the 80s, Jeff Barr got lost in Japan. He never really left. He’s been back to JAWS-UG 10 times.314195646Which one is harder: Coming up with a world-changing idea in 48 hours, — @amazonwebservices10.1K1:44Which one is harder: Coming up with a world-changing idea in 48 hours, or actually building it in 1? On Episode 001, we 495258987

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