Google DeepMind engagement report
@GoogleDeepMind - 1.5M followers on X
Measured over 6 original posts from a 30-day window, last computed on August 31, 2026.
Engagement
Early reading. We have captured 6 original posts for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.
A typical post picks up 906 interactions against 1.5M followers, an engagement rate of 0.06%. Posts are seen about 108K times each, and 0.838% of those impressions turn into an interaction. That is about 7.15% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.63 post a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 14:00 UTC, and Thursday is the busiest day of the week. Of the 6 posts sampled, 83% carry an image or video, 33% are part of a thread and 67% link out. The account's strongest tracked post pulled 4.4K interactions, about 4.8x its own typical post. Only 6 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.
Measured over 6 original posts from a 30-day window, last computed on August 31, 2026.
Where this sits in the catalog
At 0.06%, Google DeepMind sits above the 25th percentile of the 36,134 accounts in this comparison. That places it in the below the median band, which runs 0.012% to 0.08%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.012% |
| 50th percentile | 0.08% |
| 75th percentile | 0.431% |
| 90th percentile | 2.11% |
| 99th percentile | 161.6% |
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 Thursday 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% | 50K |
| 01:00 UTC | -2% | 51K |
| 02:00 UTC | -4% | 49K |
| 03:00 UTC | -4% | 53K |
| 04:00 UTC | -6% | 42K |
| 05:00 UTC | -4% | 41K |
| 06:00 UTC | -4% | 47K |
| 07:00 UTC | -5% | 51K |
| 08:00 UTC | -4% | 60K |
| 09:00 UTC | -3% | 68K |
| 10:00 UTC | -2% | 71K |
| 11:00 UTC | -3% | 77K |
| 12:00 UTC | -2% | 85K |
| 13:00 UTC | -2% | 93K |
| 14:00 UTC | -3% | 96K |
| 15:00 UTC | -2% | 99K |
| 16:00 UTC | -3% | 96K |
| 17:00 UTC | -2% | 89K |
| 18:00 UTC | -2% | 83K |
| 19:00 UTC | -2% | 79K |
| 20:00 UTC | -1% | 73K |
| 21:00 UTC | -1% | 65K |
| 22:00 UTC | -1% | 57K |
| 23:00 UTC | -2% | 51K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +4% | 228K |
| Monday | 0% | 281K |
| Tuesday | -2% | 270K |
| Wednesday | -1% | 249K |
| Thursday | -2% | 242K |
| Friday | -3% | 250K |
| Saturday | +3% | 225K |
Best tweets
- Aug 18, 20264.8x 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
- Jun 11, 20264.3x 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. ⚽
- Jul 16, 20263.4x their median
This is great news. As you age, sugar binding to your proteins creates stiff, sticky chemical scars that affect skin, arteries, eyes and more. It was considered irreversible and now may be reversible, restoring to a healthy state. Researches did this by using AlphaFold to search 45,000 oxidases, then screened more than 500 million engineered variants through directed evolution. The work is still ex vivo in a lab setting. Delivering a large bacterial enzyme safely into living tissues, with sufficient penetration and bioavailability, remains a major challenge.
- Jul 29, 20262.9x their median
https://t.co/51C2lyfTCM
- Jul 15, 20261.9x their median
From proposing hypotheses to designing experiments, AI agents are starting to reshape scientific discovery. But the hardest part is testing these ideas in the real world. Our essay explores the growing validation bottleneck and outlines four priorities for policymakers and funders. → https://t.co/biz1QlHNtm
- Jul 17, 20261.8x their median
We're announcing a major update to Weather Lab, our interactive website for sharing Google’s AI weather models from @GoogleDeepMind and @GoogleResearch: https://t.co/7vCH7Qw2Fo https://t.co/EOnX9Ubjb5
- Jul 29, 20261.7x their median
Meet Lyria 3.5, the newest music model from @GoogleDeepMind, now powering Flow Music: 🎤 Vocals: More expressive, dynamic singing 🎸 Musicality: Richer arrangements with tracks that flow naturally. 🎛️ Controls: Better at following creative directions - now featuring BPM control and exportable stems for full-length songs! Try it now at https://t.co/hqlIaESXXJ! 🧵
- Jul 30, 20261.6x their median
This is how Gemini Robotics 2 helps @Apptronik’s Apollo 2 use whole body intelligence to pack for a sports game ↓ https://t.co/rPYsclzJHR
- Aug 21, 20261.6x their median
Games have been an important testbed for our AI research for over 15 years. 🎮 From mastering Atari to reaching Grandmaster in StarCraft II, they have driven some of our biggest AI breakthroughs. Our work with SIMA taught agents how to understand 3D worlds, but learning to navigate real human dynamics takes a living, persistent universe. Through our research partnership with @FenrisCreations, we’re exploring how to tackle open challenges in AI: 🔵 Continual learning to acquire new skills without forgetting past knowledge. 🔵 Deep memory systems that store and retrieve information far beyond today’s context windows. 🔵 Long-horizon planning over weeks, months, or years. 🔵 Multi-agent dynamics spanning cooperation, negotiation, economics, and emergent behaviors. Our long-term goal is to use AI to discover entirely new gameplay experiences in partnership with game developers – making games more accessible and personalized – while applying what we've learned to problems in the real world and scientific discovery. Find out more → https://t.co/fAbYdukA5A
- Jul 23, 20261.6x their median
Gemini 3.5 Flash Cyber is our specialized, lightweight model built to help security teams spot and patch vulnerabilities before they can be exploited. 🧵 https://t.co/XpiKcvwjeI
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 906 interactions against 1.5M followers, an engagement rate of 0.06%. Posts are seen about 108K times each, and 0.838% of those impressions turn into an interaction. That is about 7.15% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.63 post a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 14:00 UTC, and Thursday is the busiest day of the week. Of the 6 posts sampled, 83% carry an image or video, 33% are part of a thread and 67% link out. The account's strongest tracked post pulled 4.4K interactions, about 4.8x its own typical post. Only 6 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.
- What is Google DeepMind's engagement rate on X?
- Google DeepMind (@GoogleDeepMind) has an engagement rate of 0.06%, based on the median interactions across 6 original posts from the last 30 days against 1,512,403 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.06%, Google DeepMind sits above the 25th percentile of the 36,134 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 Thursday is its busiest day, at roughly 0.63 posts per day across the measured window.