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Jeff Dean

Jeff Dean

X @jeffdean
🔄 Data last refreshed 13 hours ago
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Followers
502.2K
Posts
9.4K
Following
6.4K
Account age
8 yrs
🎁 Free analysisfor Jeff Dean

Known for

📊 Post performance

754.4K
Avg views / post
1.5×
Reach vs followers
Sep 2017
On X since

🔥 Top post: Exciting expansion! @Waymo now serves the whole SF Bay Area Pen · 7.2M views

📊 Activity & format

Posting cadence
0.05 / week
A lower-frequency account — each post lands with more weight.
Content mix
Mostly text
Recent: 0 video · 7 image · 11 text.
Follower / following
78×
Follows 6.4K back. A strong ratio — an audience that follows them, not a follow-for-follow network.
Verification
✓ X Premium
A paid X Premium (Blue) verified account.

Recent posts

View on X ↗
🔥 Top post Exciting expansion! @Waymo now serves the whole SF Bay Area Peninsula from SF to San Jose and is taking riders on freeways. https://t.co/fNgqQtHB7b 7.2M❤ 11.3K🔁 1.1K
AI efficiency is important. Today, Google is sharing a technical paper detailing our comprehensive methodology for measuring the environmental impact of Gemini inference. We estimate that the median Gemini Apps text prompt uses 0.24 watt-h… 745.6K❤ 4K🔁 910 If you want to know more about how Google Flights works, airline tickets, and why it is super complicated to deal with all the constraints and the combinatorial combinations, I highly recommend this set of slides by Carl de Marcken, one of… 1.8M❤ 10.3K🔁 820 We're using a ReLU to set tariffs? 440.4K❤ 5.4K🔁 509 I can't believe they've just cancelled the Epidemic Intelligence Service program at CDC. My father was an EIS officer: https://t.co/fqv3JcZTax @Farzad_MD's thread below gives you a sense of the kind of people in this elite program to tra… 500.8K❤ 3.7K🔁 998 After 25.3 million autonomous miles driven, @Waymo vehicles have an 88% reduction in property damage claims and a 92% reduction in bodily injury claims compared to human drivers per mile driven. 🚖 754.4K❤ 4.6K🔁 712 Introducing Gemini 2.0 Flash Thinking, an experimental model that explicitly shows its thoughts. Built on 2.0 Flash’s speed and performance, this model is trained to use thoughts to strengthen its reasoning. And we see promising results … 1.5M❤ 3.8K🔁 587 25 years ago today I officially started at a small search engine company, wedged into a tiny office space above what's now a T-Mobile store in downtown Palo Alto. Since then, I have had the incredible pleasure of working with awesome colle… 320K❤ 3.9K🔁 334 @Komaniecki_R Not dead, just berried. 97.9K❤ 4.5K🔁 73 Introducing Gemma - a family of lightweight, state-of-the-art open models for their class, built from the same research & technology used to create the Gemini models. Blog post: https://t.co/cLTjoQWsxE Tech report: https://t.co/u4phot… 1.3M❤ 4.3K🔁 867 Gemini 1.5 Pro - A highly capable multimodal model with a 10M token context length Today we are releasing the first demonstrations of the capabilities of the Gemini 1.5 series, with the Gemini 1.5 Pro model. One of the key differentiator… 1.7M❤ 6K🔁 1.3K I’m very excited to share our work on Gemini today! Gemini is a family of multimodal models that demonstrate really strong capabilities across the image, audio, video, and text domains. Our most-capable model, Gemini Ultra, advances the … 3.9M❤ 12.5K🔁 2.6K

💡 Facts

🗓️Joined X in 2017 — 8 years ago.
👁️Averages 754.4K views per post.
📤Posts about 0.1× per week.
💬1.28% engagement rate.
🏅Earned the 100K Followers for passing 100K followers.

🕵️ Fake follower check

Estimated
69/100
Good Credibility score
85%
Real Real audience
Low Fake-follower risk
High Data confidence
  • Est. 85% real, active audience · Low fake-follower risk.
  • Engagement (~1.5× of followers engage each post) is around typical for X.
  • Organic base — far more followers than accounts it follows.
  • Verified account.
  • Established account (8+ years old).
  • 1.28% engagement — below the ~14.4% typical for this size.

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

About

Co-founder & CEO of Discovery Loop. Former Chief Scientist, Google. Helped build many Google products, TPUs, Gemini, TensorFlow, MapReduce, Bigtable, ...

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