Google DeepMind engagement report
@GoogleDeepMind - 1.6M followers on X
Measured over 16 original posts from a 30-day window, last computed on October 25, 2026.
Engagement
A typical post picks up 2.6K interactions against 1.6M followers, an engagement rate of 0.163%. Posts are seen about 188K times each, and 1.37% of those impressions turn into an interaction. That is about 11.9% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.3 post a day over the last 30 days, though only 43% of days saw any activity at all. Most posts go out around 14:00 UTC, and Tuesday is the busiest day of the week. Of the 16 posts sampled, 94% carry an image or video, 38% are part of a thread and 25% link out. The account's strongest tracked post pulled 8.0K interactions, about 3.6x its own typical post.
Measured over 16 original posts from a 30-day window, last computed on October 25, 2026.
Where this sits in the catalog
At 0.163%, Google DeepMind sits above the 50th percentile of the 204,424 accounts in this comparison. That places it in the above the median band, which runs 0.143% to 0.677%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.677% |
| 90th percentile | 2.55% |
| 99th percentile | 82.4% |
This ruler is the whole measured catalog, not a size-matched group: it shows where the raw rate falls across every account we can measure, all of which are large. For a like-for-like comparison, read the size-band percentile above instead. See how the bands are built
Posting timing
This account posts most often around 14:00 UTC, and Tuesday is its busiest day of the week. The bars below are the catalog-wide pattern, with this account's own busiest slot marked. They do not show how this account performs at each hour: we keep one aggregate per account, not one per hour, so that measurement does not exist in our data.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 00:00 UTC | -1% | 89K |
| 01:00 UTC | -2% | 90K |
| 02:00 UTC | -3% | 88K |
| 03:00 UTC | -4% | 94K |
| 04:00 UTC | -5% | 76K |
| 05:00 UTC | -4% | 75K |
| 06:00 UTC | -5% | 86K |
| 07:00 UTC | -5% | 93K |
| 08:00 UTC | -4% | 108K |
| 09:00 UTC | -4% | 124K |
| 10:00 UTC | -3% | 129K |
| 11:00 UTC | -3% | 141K |
| 12:00 UTC | -3% | 154K |
| 13:00 UTC | -3% | 167K |
| 14:00 UTC | -4% | 173K |
| 15:00 UTC | -2% | 176K |
| 16:00 UTC | -3% | 171K |
| 17:00 UTC | -3% | 159K |
| 18:00 UTC | -2% | 149K |
| 19:00 UTC | -2% | 141K |
| 20:00 UTC | -1% | 131K |
| 21:00 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
Formats this account uses
Its own posting mix on the left, and what each of those formats does across every account we track on the right. Only formats where the effect clears our publish test appear here, so an empty row is a format we could not measure rather than one that does nothing.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 94% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 25% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | no effect | -2% to -1% | 42K |
- 94% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 111% above the same accounts' other posts.
- 25% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts.
- Its average post runs 226 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.
These are catalog-wide differences applied to this account's own posting mix, not a measurement of how each format performs for this account specifically. We keep one median per account, not one per format per account, so the second thing is not something this data can tell you.
Best tweets
- Oct 13, 20263.6x their median
Gemini 4 Argon is now globally available. Built to solve your hardest problems from start to finish, the model brings frontier capabilities across coding, enterprise workflows, and cyber defense. https://t.co/N8tOQjwk0x
- Sep 8, 20263.0x their median
We’re launching AlphaGenome Atlas: an AI-powered searchable database mapping the predicted impact of all 9 billion possible single-letter DNA changes. Here’s how it could help researchers better understand our biology 🧵
- Oct 20, 20262.6x their median
Gemini 4 Argon built a 3D periodic table synced to Tom Lehrer’s song, “The Elements.” Created in @Antigravity, it animates orbiting electrons, atomic data, and light spectra. https://t.co/7fsvsIk6Sv
- Oct 6, 20262.5x their median
Meet EmbeddingGemma 2, our first natively multimodal open model for on-device embeddings. It expands beyond text to unify code, images, audio, and video in a shared space. 🧵
- Sep 15, 20262.1x their median
We’re introducing Gemini 3.8 Live and 3.8 Live Extended Thinking – our best conversational AI. The models talk, think, and handle tasks in the background without breaking your flow. 🧵
- Oct 13, 20262.0x their median
https://t.co/oADallGYuR
- Aug 18, 20262.0x their median
Matrix multiplication is the basic computational operation that powers modern computing (including AI). Yet, the theoretical fastest speed at which computers can multiply matrices (omega ω) is still unknown and has been a longstanding challenge for complexity theory and computer science. Today, we announce a new record for omega (ω<2.371177). This is the result of a great team effort between @GoogleDeepMind, our academic collaborators, and our Gemini-powered coding agent AlphaEvolve! 🧮 https://t.co/5c7E8W1F1d
- Oct 13, 20261.9x their median
Gemini 4 Argon taught a robot to play cornhole just by watching a video. It mapped the physics, coded its own simulation, and taught @Apptronik's Apollo humanoid to sink 7 throws in a row. https://t.co/JIyoKnVc4q
- Jun 11, 20263.5x their median
We’re teaming up @Palmeiras, the first football club to meaningfully build upon TacticAI: our AI system that can help simulate field scenarios and predict open play dynamics up to 8 seconds in advance. ⚽
- Oct 21, 20261.7x their median
Gemini 4 Argon combined three open-source datasets to build an interactive 3D visualization of human anatomy. Toggle different layers in motion, isolate muscles, or zoom inside a beating heart. https://t.co/60nfQ0QVkl
Ranked by total interactions across everything we have tracked for this account, which is a longer history than the 30-day window the rates above use. The multiple compares each post to this account's own median.
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Reading these numbers
A typical post picks up 2.6K interactions against 1.6M followers, an engagement rate of 0.163%. Posts are seen about 188K times each, and 1.37% of those impressions turn into an interaction. That is about 11.9% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.3 post a day over the last 30 days, though only 43% of days saw any activity at all. Most posts go out around 14:00 UTC, and Tuesday is the busiest day of the week. Of the 16 posts sampled, 94% carry an image or video, 38% are part of a thread and 25% link out. The account's strongest tracked post pulled 8.0K interactions, about 3.6x its own typical post.
- What is Google DeepMind's engagement rate on X?
- Google DeepMind (@GoogleDeepMind) has an engagement rate of 0.163%, based on the median interactions across 16 original posts from the last 30 days against 1,581,099 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.163%, Google DeepMind sits above the 50th percentile of the 204,424 accounts in this comparison. Those comparison accounts are all large ones, because our scanning cadence is weighted towards big accounts, so this is a ranking among peers of similar scale rather than a ranking across X.
- Does @GoogleDeepMind have real engagement?
- There is not yet enough sample to rank this account against others of its size.
- When does @GoogleDeepMind post?
- Most posts go out around 14:00 UTC, and Tuesday is its busiest day, at roughly 1.3 posts per day across the measured window.