Mozilla engagement report
@mozilla - 262K followers on X
Measured over 16 original posts from a 30-day window, last computed on September 24, 2026.
Engagement
A typical post picks up 29 interactions against 262K followers, an engagement rate of 0.011%. Measured over 16 original posts, its engagement rate beats 26% of 15,519 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 4.4K times each, and 0.664% of those impressions turn into an interaction. That is about 1.66% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.8 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, 31% carry an image or video, 13% are part of a thread and 88% link out. The account's strongest tracked post pulled 302 interactions, about 10x its own typical post.
Measured over 16 original posts from a 30-day window, last computed on September 24, 2026.
Compared with accounts its own size
Mozilla's engagement rate beats 26% of the tracked X accounts closest to it in follower count (15,519 accounts, accounts of similar size (decile 9 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 35% 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 0.011%, Mozilla sits above the 10th percentile of the 157,102 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.022%.
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 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 | 31% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 88% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 31% 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.
- 88% 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 283 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
- Apr 16, 202610x their median
Today we announced Thunderbolt, an AI client built on the same principles that have guided Mozilla for decades: user control, open standards, and individual empowerment online. As AI becomes central to enterprise operations, organizations face a critical choice: depend on proprietary services that create strategic risk, or build on open infrastructure they control. Learn more: https://t.co/1iAOfhsLJE
- Sep 11, 20264.3x their median
The GPT-6 Astra launch just leveled up game development. It also gave Mozilla CTO @raffi Krikorian an idea for an open-weight experiment. One prompt. Six open-weight models. Four coding harnesses, identical instructions. Read what happend when he ran it on Owners, Not Renters. Subscribe today. https://t.co/Zl0jLuZNXH
- Sep 10, 20263.7x their median
In July, we said whoever wins the tokens will eventually win requests as well. In August, it happened. DeepSeek, an open model, took the top spot for request volume in the market, overtaking Google. V1.1 of our State of Open Source AI report tracks how people are putting the model to work and where the real value is now. Get ready, the full report drops next week.
- Jul 30, 20263.3x their median
Mozilla today joined the Open Secure AI Alliance, started by @nvidia. Actors from across the spectrum, big and small, even strange bedfellows are coming to a conclusion that Mozilla has championed for years: that open source, and openness is the path forward and needs to be defended. We're glad to be a part of this effort and others that bring together champions for an open source future. https://t.co/VRYqXjY31c
- Jun 5, 20262.5x their median
1/2 Canada just did something big: put openness at the heart of its national AI strategy. By backing open source AI, Canada is choosing a future where AI is something citizens can govern, own and benefit from - not something done to them. 2/2 We’re proud to be partnering with organizations like @Mila_Quebec to help make that vision real.
- Aug 5, 20262.1x their median
The browser was the user agent of the open web. The code was on your side, negotiating with servers for you. Now, that role is being rebuilt one layer up. https://t.co/A42pnUmSIx
- Apr 10, 20262.1x their median
The State of Mozilla was published two months ago, but is even more relevant as the AI landscape keeps shifting. It lays out our roadmap for open, sovereign AI and the work happening across Firefox, https://t.co/4hFx7nckSV, and our data + developer tools. https://t.co/sra6pRzhiw
- Aug 14, 20262.1x their median
Everyone's flocking to ChatGPT and Claude. Very few are asking who actually controls the infrastructure underneath. @raffi Krikorian believes companies need alternatives to proprietary AI systems where they can customize and control. Open source is the alternative Read the full Q&A on @restofworld: https://t.co/CAijRBdn8k
- Sep 14, 20261.7x their median
Open models are ~50x cheaper than closed ones. Mozilla CTO @raffi talks about the economics of open source AI, the "amnesiac" problem with agent memory, and why concentration risk isn't just about who's closed — it's about who's open, too. Read/watch here: https://t.co/RJNWG7jOFh
- Sep 17, 2026
Owning your AI shouldn't take a whole engineering team and months you can't spare. At ALL IN, Mozilla and @Mila_Quebec announced a new initiative to build an open source AI foundation layer — so any org can run advanced AI locally, on their own terms. 🧵
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 29 interactions against 262K followers, an engagement rate of 0.011%. Measured over 16 original posts, its engagement rate beats 26% of 15,519 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 4.4K times each, and 0.664% of those impressions turn into an interaction. That is about 1.66% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.8 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, 31% carry an image or video, 13% are part of a thread and 88% link out. The account's strongest tracked post pulled 302 interactions, about 10x its own typical post.
- What is Mozilla's engagement rate on X?
- Mozilla (@mozilla) has an engagement rate of 0.011%, based on the median interactions across 16 original posts from the last 30 days against 262,279 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.011%, Mozilla sits above the 10th percentile of the 157,102 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 @mozilla have real engagement?
- Its engagement rate beats 26% of the tracked X accounts closest to it in follower count (15,519 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 @mozilla post?
- Most posts go out around 14:00 UTC, and Tuesday is its busiest day, at roughly 0.8 posts per day across the measured window.