Meta for Developers engagement report
@MetaforDevs - 324K followers on X
Measured over 15 original posts from a 30-day window, last computed on September 4, 2026.
Engagement
A typical post picks up 164 interactions against 324K followers, an engagement rate of 0.051%. Measured over 15 original posts, its engagement rate beats 49% of 6,874 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 33K times each, and 0.494% of those impressions turn into an interaction. That is about 10.2% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.4 post a day over the last 30 days, with activity on roughly 47% of days. Most posts go out around 19:00 UTC, and Wednesday is the busiest day of the week. Of the 15 posts sampled, 100% carry an image or video and 67% link out. The account's strongest tracked post pulled 1.9K interactions, about 11x its own typical post. Recurring topics include #metaquest, #vr.
Measured over 15 original posts from a 30-day window, last computed on September 4, 2026. Recurring tags: #metaquest, #vr.
Compared with accounts its own size
Meta for Developers's engagement rate beats 49% of the tracked X accounts closest to it in follower count (6,874 accounts, accounts of similar size (decile 7 of 10)). A percentile is spread evenly by construction, so 50 really is the middle of that group and 90 really is its top tenth.
On engagement per impression rather than per follower it beats 29% of the same group. When those two numbers disagree, the gap is about how far its posts travel rather than how people react to them.
Where this sits in the catalog
At 0.051%, Meta for Developers sits above the 25th percentile of the 65,980 accounts in this comparison. That places it in the below the median band, which runs 0.016% to 0.1%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.016% |
| 50th percentile | 0.1% |
| 75th percentile | 0.499% |
| 90th percentile | 2.09% |
| 99th percentile | 120.0% |
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 19:00 UTC, and Wednesday 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 | 67% 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.
- 67% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
- Its average post runs 311 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
- Aug 10, 202611x their median
Meet Muse Glimmer: an open-weight model built for always-on local agents. 30B parameters, Apache 2.0 and tuned for complex multi-step work so it plans, calls tools, hits errors, retries, and sees the task through long-horizon loops. Muse Glimmer is designed to balance capability against the memory and compute constraints of local hardware. We couldn’t be more excited to get this in the hands of developers. Download and start building now: https://t.co/NKBJ0SHrmU
- Sep 2, 20265.9x their median
Muse Spark 1.3 is now available in Muse Code and Meta Model API. It’s tuned for the agentic builds developers actually ship, including long-running, multi-agent workflows. 🧵👇(1/4) https://t.co/aS8cuVgMuU
- Aug 26, 20264.7x their median
Muse Image is now available on Meta Model API and priced for production volumes at $0.01/image. It’s an agentic image model that reasons before it renders. Each call searches the web to refine the output through iterative passes and evaluates the prompt for precise elements like charts and QR codes. Text-to-image, single-image and multi-image editing, and multi-reference composition all live in one model, so there's no multi-step pipeline to stitch together. Start building → https://t.co/Q0TSXkIp03
- Aug 31, 20264.4x their median
Muse Code is now out of beta with new features and updates designed to help you work faster and smarter: sessions that message each other, workflows to orchestrate subagent teams, and an SDK in developer preview. Monthly plans are also rolling out today, starting at $5. Follow the link for the full feature download -> https://t.co/99IVBU9SB2
- Aug 21, 20264.1x their median
We’re excited to bring @AIatMeta’s Muse Spark 1.2 contributor tier to OpenRouter. At $0.10/M input and $0.20/M output, It’s meaningfully cheaper than Muse Spark 1.2 and beats other comparable models on real cost, providing frontier intelligence-per-dollar. https://t.co/YNf6EprqiW
- Aug 5, 20263.6x their median
Meet Muse Spark 1.2 and Muse Code, the agent built to run it against your coding challenges. Now in beta. Together they take a task from idea to production, and deploy teams of agents that plan, write and refine across your repos. Start building now: https://t.co/KdUx8eli0S https://t.co/FXHo7JXTAW
- Aug 18, 2026
An AI agent found a hidden UI bug in Beat Saber's menu flow that scripted tests didn't catch. 🧠 That's Meta XR Operator: an OpenXR API layer that lets your AI agent see, test, and verify your VR app autonomously. New in Meta XR SDK v205. Try it today 👉 https://t.co/bmghUIvLjV https://t.co/JA2nSxlhKS
- Aug 26, 2026
Muse Image from Meta, now on Runway. Available today alongside the world's best image and video models. Try it now at the link below. https://t.co/bA2yBNfbEc
- Sep 1, 2026
Build conversation-aware features without the pipeline. Muse Voice Transcribe is now in public preview on Meta Model API. For developers building real-time speech into their products, Muse Voice Transcribe delivers competitive transcription accuracy with live speaker attribution in a single streaming model – so you can ship without stitching together helper models or paying frontier prices. Learn more and start building at https://t.co/nwJ7UFVpAQ.
- Aug 3, 2026
Imagine controlling your EV, tracking constellations, or adjusting your smart home lights, all from your AI glasses. 👓 One developer built web apps that do all of this on Meta Ray-Ban Display. Now, he's sharing his technical playbook. Watch here 👉 https://t.co/OYGecn7d9K https://t.co/NYDWdMEvrV
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.
Recurring topics
The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.
Buy or sell X accounts - escrow-protected
PlayerSells is an escrow marketplace for X accounts. Every deal is protected, with no middleman risk.
Reading these numbers
A typical post picks up 164 interactions against 324K followers, an engagement rate of 0.051%. Measured over 15 original posts, its engagement rate beats 49% of 6,874 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 33K times each, and 0.494% of those impressions turn into an interaction. That is about 10.2% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.4 post a day over the last 30 days, with activity on roughly 47% of days. Most posts go out around 19:00 UTC, and Wednesday is the busiest day of the week. Of the 15 posts sampled, 100% carry an image or video and 67% link out. The account's strongest tracked post pulled 1.9K interactions, about 11x its own typical post. Recurring topics include #metaquest, #vr.
- What is Meta for Developers's engagement rate on X?
- Meta for Developers (@MetaforDevs) has an engagement rate of 0.051%, based on the median interactions across 15 original posts from the last 30 days against 324,390 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.051%, Meta for Developers sits above the 25th percentile of the 65,980 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 @MetaforDevs have real engagement?
- Its engagement rate beats 49% of the tracked X accounts closest to it in follower count (6,874 accounts), which puts it in the middle of its size range group. Ranking inside a size band matters because engagement rate falls as accounts grow, so a raw rate would mostly re-measure the follower count. It is a starting point for a look at follower quality, not a verdict on it.
- When does @MetaforDevs post?
- Most posts go out around 19:00 UTC, and Wednesday is its busiest day, at roughly 1.43 posts per day across the measured window.