Mozilla engagement report
@mozilla - 262K followers on X
Measured over 17 original posts from a 30-day window, last computed on October 31, 2026.
Engagement
A typical post picks up 17 interactions against 262K followers, an engagement rate of 0.006%. Posts are seen about 2.9K times each, and 0.593% of those impressions turn into an interaction. That is about 1.09% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.97 post a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 20:00 UTC, and Monday is the busiest day of the week. Of the 17 posts sampled, 65% carry an image or video, 29% are part of a thread and 76% link out. The account's strongest tracked post pulled 302 interactions, about 10x its own typical post. Recurring topics include #mozfest, #ftfutureofai.
Measured over 17 original posts from a 30-day window, last computed on October 31, 2026. Recurring tags: #mozfest, #ftfutureofai.
Where this sits in the catalog
At 0.006%, Mozilla sits above the 10th percentile of the 218,597 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.025%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.025% |
| 50th percentile | 0.149% |
| 75th percentile | 0.705% |
| 90th percentile | 2.63% |
| 99th percentile | 82.5% |
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 20:00 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 | 65% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 76% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 65% 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.
- 76% 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 282 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
- Oct 25, 202617x their median
The internet you remember is still out there. The early days of the internet may be behind us, but the spirit doesn’t have to be. Experience it for yourself. https://t.co/lGiKUPtUKM
- Sep 11, 20267.4x 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, 20266.4x 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, 20265.6x 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
- Sep 23, 20265.5x their median
You might be renting horsepower you don’t need to get the average task done. Closed models can cost ~5x more per task, but that premium only pays off with tasks that take 8-12 hours to complete. Whatever closed can do today, open does ~4 months later. https://t.co/I2UhMSyhfT https://t.co/deKaV2KYcz
- 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, 20263.6x 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, 20263.6x 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
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.
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Reading these numbers
A typical post picks up 17 interactions against 262K followers, an engagement rate of 0.006%. Posts are seen about 2.9K times each, and 0.593% of those impressions turn into an interaction. That is about 1.09% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.97 post a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 20:00 UTC, and Monday is the busiest day of the week. Of the 17 posts sampled, 65% carry an image or video, 29% are part of a thread and 76% link out. The account's strongest tracked post pulled 302 interactions, about 10x its own typical post. Recurring topics include #mozfest, #ftfutureofai.
- What is Mozilla's engagement rate on X?
- Mozilla (@mozilla) has an engagement rate of 0.006%, based on the median interactions across 17 original posts from the last 30 days against 262,142 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.006%, Mozilla sits above the 10th percentile of the 218,597 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?
- There is not yet enough sample to rank this account against others of its size.
- When does @mozilla post?
- Most posts go out around 20:00 UTC, and Monday is its busiest day, at roughly 0.97 posts per day across the measured window.