Google AI Developers engagement report
@googleaidevs - 118K followers on X
Measured over 2 original posts from a 30-day window, last computed on October 7, 2026.
Engagement
Early reading. We have captured 2 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 73 interactions against 118K followers, an engagement rate of 0.062%. Posts are seen about 11K times each, and 0.68% of those impressions turn into an interaction. That is about 9.13% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.2 posts a day over the last 30 days, though only 17% of days saw any activity at all. Most posts go out around 18:00 UTC, and Monday is the busiest day of the week. Of the 2 posts sampled, 100% carry an image or video and 50% are part of a thread. The account's strongest tracked post pulled 2.9K interactions, about 40x its own typical post. Only 2 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 2 original posts from a 30-day window, last computed on October 7, 2026.
Where this sits in the catalog
At 0.062%, Google AI Developers sits above the 25th percentile of the 156,969 accounts in this comparison. That places it in the below the median band, which runs 0.022% to 0.128%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.003% |
| 25th percentile | 0.022% |
| 50th percentile | 0.128% |
| 75th percentile | 0.604% |
| 90th percentile | 2.32% |
| 99th percentile | 83.4% |
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 18:00 UTC, and Monday 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 | 100% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 0% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 100% 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.
- 0% 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 292 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above the same accounts' other posts.
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
- Jul 21, 202640x their median
Gemini 3.6 Flash and 3.5 Flash Lite now available in OpenCode - 1M context - 3.6 Flash: 17% cheaper output than 3.5 Flash - 3.5 Flash Lite: 80% cheaper than 3.5 Flash
- Aug 17, 202617x their median
We fed Gemini 3.7 Flash hundreds of PDFs from a Victorian book of botanical illustrations and tasked it with extracting and classifying these historical plants using the modern APG IV classification system. 🌳 💻 Watch how it brings its understanding to life in an interactive visualization built in @Antigravity:
- Sep 1, 202614x their median
Can Gemini count the number of claps? 👏 Accurately counting rapid movements is a notoriously tricky task for AI. Because static processing ingests video at a fixed 1 FPS by default, split-second movements like a clap easily get missed entirely or get confused with a snap or click. Watch Gemini 3.7 Flash use the new agentic video understanding capability to accurately identify and count every single clap by automatically adapting the processing speed as needed:
- Jun 24, 202611x their median
May 2026: we announced native Android app building in AI Studio Today: more than 1M Android apps have been created in AI Studio build your first Android app today: https://t.co/4ky4kceVyY (note: not a real statue... yet) https://t.co/PBrFycpbjI
- Aug 18, 202610x their median
Turn the web into an interactive visual encyclopedia with Nano Banana and Gemini Omni. 🌐✨ We built a Chrome Extension in @Antigravity with Gemini 3.7 Flash that lets you highlight any text to quickly generate rich, visual definitions while you browse for deeper learning. Check out the demo ↓
- Jul 7, 20269.8x their median
https://t.co/ohyGvAO3w8
- Jun 22, 20269.5x their median
The Interactions API is now GA. Featuring a stable schema and new capabilities via a single /interactions endpoint, it is now our standard interface for both model inference and autonomous agents. Check out the key updates: — Managed Agents: Spin up a secure, remote Linux sandbox for code execution and browsing via a single API call, using the default antigravity-preview-05-2026 agent or your own custom instructions — Simplified Schema: Every action is now represented as its own step (from user_input to model_output, etc.) in a simplified, linear flow — Background Execution: Set background=True to run models and agents asynchronously, letting you poll for results when ready — Expanded Tool Ecosystem: Native support for Computer Use, File Search, and Google Maps, alongside new agent-building tools like the Gemini API Docs MCP server and gemini-interactions-api Skill — Media Generation: Image generation via Google Search-grounded Nano Banana 2, music with Lyria 3, and expressive multi-speaker TTS Read the blog to learn more: https://t.co/ZzfpUGzAvm
- Aug 6, 20268.4x their median
Use these @Antigravity commands to navigate the CLI, manage background tasks, configure utilities, and run research subagents more efficiently. 🚀 https://t.co/uJDNvZLPNL
- Jun 25, 20268.0x their median
The Computer Use tool is now available for Gemini 3.5 Flash 🛠️ Build agents that see and take action across browser, mobile, and desktop environments to seamlessly handle long-horizon tasks. Here’s what’s new: - Built-in support for mobile and desktop operating systems - Intent arguments for all function calls - Customizable client-side functions to easily support human-in-the-loop (HITL) takeover - Prompt injection detection and configurable action-level safety policies to fit your app’s needs Learn how you can use 3.5 Flash to automate QA testing, business processes, and more in the blog: https://t.co/WwkqWt9Rcu
- Jun 24, 20266.3x their median
Want to host your own Gemma hackathon? We’re sponsoring 1-day hackathons on Kaggle to help developers dive into open models! From building lightweight tools to tackling your community's unique challenges, this is your chance to lead the charge with Gemma 4.👇 https://t.co/3N0eOlXyID
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 73 interactions against 118K followers, an engagement rate of 0.062%. Posts are seen about 11K times each, and 0.68% of those impressions turn into an interaction. That is about 9.13% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.2 posts a day over the last 30 days, though only 17% of days saw any activity at all. Most posts go out around 18:00 UTC, and Monday is the busiest day of the week. Of the 2 posts sampled, 100% carry an image or video and 50% are part of a thread. The account's strongest tracked post pulled 2.9K interactions, about 40x its own typical post. Only 2 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 AI Developers's engagement rate on X?
- Google AI Developers (@googleaidevs) has an engagement rate of 0.062%, based on the median interactions across 2 original posts from the last 30 days against 117,550 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.062%, Google AI Developers sits above the 25th percentile of the 156,969 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 @googleaidevs have real engagement?
- There is not yet enough sample to rank this account against others of its size.
- When does @googleaidevs post?
- Most posts go out around 18:00 UTC, and Monday is its busiest day, at roughly 0.2 posts per day across the measured window.