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InfoQ

@InfoQ · joined 03 Mar 2008

Helping dev teams adopt new technologies and practices through news, podcasts, QCon conferences, and InfoQ online certification. https://t.co/l4flQmvaw2

57 582Followers
1 414Following
55 836Posts total
6.5KViews on collected posts

Latest posts

AI coding assistants are speeding up development - but code verification is now the bottleneck. AI-generated code boosts productivity while introducing security risks and familiar bugs. 🔗 https://t.co/MiTIdUOmWR #AI #Security https://t.co/MbsB6kPEsi
791 views · 7 likes · 0 reposts · 1 replies Open on X →
#CERN is moving 2,200 accelerator control machines from Red Hat-based distributions to #Debian. The transition is expected to be complete by late 2026. CERN’s other systems will continue running Red Hat and AlmaLinux. 🔗 Learn more: https://t.co/JLwSRkogXD #DevOps #InfoQ https:
1K views · 0 likes · 0 reposts · 0 replies Open on X →
Vinoth Govindarajan (OpenAI) breaks down why every run needs a deadline, every tool needs a timeout, and how to build resilient AI systems that don't fall apart when production edges fail. 🗓️ Full presentation goes live on InfoQ September 21, 2026. #AI #ML #InfoQ #LLMs https://
0:43
1.4K views · 3 likes · 0 reposts · 0 replies Open on X →
What’s shaping #CloudComputing and #DevOps in 2026? Our annual #TrendsReport breaks down the key topics architects & technical leaders should prioritize to stay ahead of the curve. 📖 Read the full #TrendsReport ⇨ https://t.co/NVs16Wv27g #InfoQ #SoftwareTrends https://t.co/vjQ
1.8K views · 10 likes · 0 reposts · 0 replies Open on X →
One #AI #DataCenter can consume more power than an entire city. Jordan Nanos breaks down the scale: • San Francisco: <1 GW • NYC: ~9 GW • Next-gen AI data centers: multiple GW We’re not just scaling software. We’re scaling energy demand. 🔗 https://t.co/PYlOicnmwe #InfoQ https
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1.4K views · 0 likes · 0 reposts · 0 replies Open on X →

Against accounts of the same size

5 posts from the last 90 days, next to the 10K–100K follower range. below its peers on both reach and engagement.

Median views1 396this account972median for 10K–100K
Reach, %2.42%this account3.58%median for 10K–100K
Engagement, %0.21%this account1.60%median for 10K–100K
MetricThis accountMedian for 10K–100KRatio
Median views per post1 3969721.44×
Reach (views ÷ followers)2.42%3.58%0.68×
Engagement rate0.21%1.60%0.13×

Others in this range →   Compare with another account →   How these benchmarks are built →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

1.4K12 Sep
1.8K
1.4K13 Sep
1K
791

Last 5 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.00%12 Sep
0.55%
0.21%13 Sep
0.00%
1.01%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.60%.

What the audience does

Likes52.6%20 in total
Replies2.6%1 in total
Bookmarks44.7%17 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

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