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O'Reilly Media

O'Reilly Media Add us as a preferred source on Google

X @oreillymedia
🔄 Data last refreshed 1 month ago
This is an unclaimed, auto-generated listing. It was built only from O'Reilly Media’s publicly available X information. O'Reilly Media has not claimed, verified, or endorsed it, and is not affiliated with, sponsored by, or a partner of SocialDB — no partnership or endorsement is implied, and any prices shown are estimates, not set by the creator.
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Followers
103.7K
Posts
39.6K
Following
20K
Account age
18 yrs
💰 Suggested sponsorship rate
🎁 Free analysisfor O'Reilly Media

Known for

📊 Post performance

9.7K
Avg views / post
9.3%
Reach vs followers
Dec 2007
On X since

🔥 Top post: [NEW RELEASE] Rust Atomics and Locks -- In this practical book, · 9.7K views

📊 Activity & format

Posting cadence
0.04 / week
A lower-frequency account — each post lands with more weight.
Content mix
Mostly video
Recent: 7 video · 6 image · 5 text.
Follower / following
5.2×
Follows 20K back. A more reciprocal / networked account.

Recent posts

View on X ↗
🔥 Top post [NEW RELEASE] Rust Atomics and Locks -- In this practical book, @m_ou_se, leader of the Rust library team, helps Rust programmers of all levels gain a clear understanding of low-level concurrency. https://t.co/EN37aj677T #OReillyExperts #NewBook 9.7K❤ 90🔁 10
[NEW RELEASE] Efficient Go -- Author @bwplotka provides the tools and knowledge required to make your systems faster and less resource-hungry. https://t.co/osraCNkhxy #OReillyExperts ❤ 177🔁 45 [NEW RELEASE] Hands-On Machine Learning w/ Scikit-Learn, Keras, and TensorFlow 3E -- With this updated 3rd edition, @aureliengeron explores a range of techniques, starting with simple linear regression & progressing to deep neural netw… ❤ 90🔁 15 [NEW RELEASE] Python for Geospatial Data Analysis -- Author @datamongerbonny demonstrates why detecting and quantifying patterns in geospatial data is vital. This book helps you explore Python packages for additional functionality. https:/… ❤ 216🔁 42 [NEW RELEASE] Tidy Modeling with R, by @topepos @juliasilge -- This book provides a practical introduction to how to use R software to create models, focusing on a dialect of the R programming language called the tidyverse. https://t.co/PX… ❤ 97🔁 25 ▶ [NEW RELEASE] Head First Java, 3E -- Ready to learn Java? This book combines puzzles, strong visuals, mysteries, and soul-searching interviews with famous Java objects to engage you in many different ways. https://t.co/PueIWZpUKp ❤ 107🔁 33 ▶ [NEW RELEASE] Fluent Python, 2E -- Author @ramalhoorg guides you through Python’s core language features and libraries and teaches you how to make your code shorter, faster, and more readable. https://t.co/hTDrwjswoO #OReillyExperts #NewBo… ❤ 92🔁 14 ▶ [NEW RELEASE] Fluent Python, 2E -- Author @ramalhoorg guides you through Python’s core language features and libraries and teaches you how to make your code shorter, faster, and more readable. https://t.co/hTDrwjswoO #OReillyExperts #NewBo… ❤ 129🔁 24 ▶ [NEW RELEASE] Fluent Python, 2E -- Author @ramalhoorg guides you through Python’s core language features and libraries and teaches you how to make your code shorter, faster, and more readable. https://t.co/hTDrwjswoO #OReillyExperts #NewBo… ❤ 142🔁 26 Our founder @timoreilly thinks it's too early to get excited about #Web3 and, as the person who defined Web 2.0, he should know. Here's why: ❤ 85🔁 36 ▶ [NEW RELEASE] Practical Machine Learning for Computer Vision -- Learn how to design, train, evaluate, and predict with models written in TensorFlow or Keras, w/ experts @lak_gcp @martin_gorner & Ryan Gillard https://t.co/KbntnSsGUO #OR… ❤ 201🔁 43 ▶ [NEW RELEASE] AI and Machine Learning for Coders -- Most books on machine learning begin with a daunting amount of advanced math. This guide by @lmoroney is built on practical lessons that let you work directly with the code. https://t.co/… ❤ 93🔁 27

💡 Facts

🗓️Joined X in 2007 — 18 years ago.
👁️Averages 9.7K views per post.
📤Posts about 0× per week.
💬0.17% engagement rate.
🏅Earned the 100K Followers for passing 100K followers.

🕵️ Fake follower check

Estimated
31/100
Low Credibility score
61%
Mixed Real audience
Medium Fake-follower risk
High Data confidence
  • Est. 61% real, active audience · Medium fake-follower risk.
  • Low engagement (~9.3% of followers engage each post) — a sign of an inflated or inactive audience.
  • Established account (18+ years old).
  • 0.17% engagement — below the ~2.2% typical for this size.

Heuristic estimate from engagement, follower ratios, account age & growth — a screening signal, not a guarantee.

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