Gergely Orosz engagement report
@GergelyOrosz - 364K followers on X
Measured over 53 original posts from a 30-day window, last computed on October 6, 2026.
Engagement
A typical post picks up 777 interactions against 364K followers, an engagement rate of 0.216%. Measured over 53 original posts, its engagement rate beats 83% of 20,444 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 92K times each, and 0.841% of those impressions turn into an interaction. That is about 25.4% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 6.6 posts a day over the last 30 days, with activity on roughly 57% of days. Most posts go out around 10:00 UTC, and Tuesday is the busiest day of the week. Of the 53 posts sampled, 49% carry an image or video, 43% are part of a thread and 19% link out. The account's strongest tracked post pulled 8.6K interactions, about 11x its own typical post.
Measured over 53 original posts from a 30-day window, last computed on October 6, 2026.
Compared with accounts its own size
Gergely Orosz's engagement rate beats 83% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 10 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 43% 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 0.216%, Gergely Orosz sits above the 50th percentile of the 204,956 accounts in this comparison. That places it in the above the median band, which runs 0.143% to 0.678%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.678% |
| 90th percentile | 2.55% |
| 99th percentile | 82.4% |
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 10:00 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 | 49% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 19% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 49% 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.
- 19% 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 357 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
- Oct 5, 202611x their median
You don't have to commit your entire life to optimism, just try it on for a week. Start thinking "what if it all worked out?" and "what a time to be alive!". Then compare your state of mind to the week before filled with pessimism and doomer nonsense.
- Sep 2, 202610x their median
At this point I just want models to be faster and cheaper. I have enough intelligence. Please, size doesn't matter any more, I need performance.
- Sep 10, 20268.8x their median
https://t.co/PcXPOu2rAf
- Jan 5, 20267.2x their median
https://t.co/nVVqSm8DhO
- Sep 10, 20265.7x their median
Someone working on Google Spark asked me why I said the product is a joke. It's because this is the product https://t.co/RhBJHv3d4H
- Aug 26, 20264.7x their median
Well this is damning and explains SO MUCH about why Meta is losing its best engineers; why morale is rock-bottom; and why an engineering culture built up in 20 years was destroyed overnight. Zuck + execs wanted to lay off ~60% of staff. When the business does better than ever. https://t.co/36hOyxAz9S
- Sep 11, 20263.9x their median
A couple of trends I'm seeing across the industry. Which ones are you observing, that I missed? https://t.co/wIEUI8FttJ
- Aug 28, 20263.8x their median
How Windows lost the mindshare of developers is something that needs to be studied. Microsoft has never stopped investing in standout dev tools (🫡 to the Visual Studio Team), but the OS, as a whole, became incredibly dev-hostile. Mac ate up their dev market share by doing... nothing, really? As in nothing focusing on devs, just having an OS that was not annoying AF as a dev
- Sep 8, 20263.5x their median
I am increasingly annoyed by agents running locally, launching stuff (browser windows, apps etc) while I'm trying to work, interfering with my own desktop This stuff needs to live either in a VM, or probably the cloud. I want to kick it off and not distract me!
- Oct 1, 20263.4x their median
btw these were the official benchmarks for Gemini 3.1 Pro when it released, practically destroying Opus 4.6 across the board. I'm not saying Gemini 4 Argon will be bad, but it's crazy that no one has the slightest bit of skepticism given Google's track record. https://t.co/rQPQybvXsO
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 777 interactions against 364K followers, an engagement rate of 0.216%. Measured over 53 original posts, its engagement rate beats 83% of 20,444 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 92K times each, and 0.841% of those impressions turn into an interaction. That is about 25.4% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 6.6 posts a day over the last 30 days, with activity on roughly 57% of days. Most posts go out around 10:00 UTC, and Tuesday is the busiest day of the week. Of the 53 posts sampled, 49% carry an image or video, 43% are part of a thread and 19% link out. The account's strongest tracked post pulled 8.6K interactions, about 11x its own typical post.
- What is Gergely Orosz's engagement rate on X?
- Gergely Orosz (@GergelyOrosz) has an engagement rate of 0.216%, based on the median interactions across 53 original posts from the last 30 days against 363,615 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.216%, Gergely Orosz sits above the 50th percentile of the 204,956 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 @GergelyOrosz have real engagement?
- Its engagement rate beats 83% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the top quarter for its size 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 @GergelyOrosz post?
- Most posts go out around 10:00 UTC, and Tuesday is its busiest day, at roughly 6.6 posts per day across the measured window.