Gergely Orosz engagement report
@GergelyOrosz - 354K followers on X
Measured over 24 original posts from a 30-day window, last computed on September 2, 2026.
Engagement
A typical post picks up 622 interactions against 354K followers, an engagement rate of 0.177%. Measured over 24 original posts, its engagement rate beats 74% 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 76K times each, and 0.815% of those impressions turn into an interaction. That is about 21.5% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.4 posts a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 10:00 UTC, and Wednesday is the busiest day of the week. Of the 24 posts sampled, 42% carry an image or video, 50% are part of a thread and 25% link out. The account's strongest tracked post pulled 3.6K interactions, about 5.8x its own typical post.
Measured over 24 original posts from a 30-day window, last computed on September 2, 2026.
Compared with accounts its own size
Gergely Orosz's engagement rate beats 74% of the tracked X accounts closest to it in follower count (6,874 accounts, accounts of similar size (decile 8 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 42% 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 0.177%, Gergely Orosz sits above the 50th percentile of the 66,258 accounts in this comparison. That places it in the above the median band, which runs 0.1% to 0.499%.
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 | 119.6% |
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 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 | 42% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 25% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 42% 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.
- 25% 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 524 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 26, 20265.8x 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
- Aug 28, 20264.8x 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
- Aug 31, 20264.0x their median
I don't think most of us outside of OpenAI realize just how Codex-pilled everyone inside OpenAI is Because the Codex that we see and use is nowhere nearly as powerful as the one they see and use inside (Theirs integrated anywhere & everywhere inside OpenAI, nearly full access)
- Sep 26, 20213.7x their median
When you ask "Why did Company build 7 of the same products that all failed?", it always starts with the current solution struggling. This is an opportunity. Not to fix - which doesn't get you promoted - but to start anew. An all too real story about Promotion Driven Development:
- Aug 28, 20263.3x their median
Seeing internships become fewer at many tech companies tells me a bunch of stuff: 1. No plans to convert a year out. You run internships when you know a year later you’ll do new grad hiring 2. Not enough capacity for mentoring. Interns need at least one mentor - which takes time away from an eng doing whatever they do. On larger teams there’s more “slack” time. On small teams, rarely 3. Team dynamics less important. Interns really boost morale on teams - found this underrated, always. 4. Career growth not important. Mentoring interns grows that mentorship skill that is (used to be?) important for seniors. Food for thought on all
- Sep 2, 20263.2x their median
I still find it so wild that SO MANY European banks schedule 1-2x per month 4-8 hour maintenance windows between 10pm-6am local time. INSTEAD of biting the bullet and learning how to do zero downtime migrations + infra upgrades. Devs pull all-nighters instead and learn nothing
- Sep 2, 20262.9x 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.
- Aug 29, 20262.4x their median
It’s a weird complaint to have but with AI agents, that “flow state” during coding is gone (because the coding itself is gone.) Every time I talk with a dev about work now vs before, it seems to come up, like today with a former colleague. Are we over-glorifying it (I mean it wasn’t all roses, it was also frustration) or is it something important / relevant they we had but now don’t really have?
- Jan 21, 20232.3x their median
Substack launched analytics insights and: wow. Thank you to everyone reading @Pragmatic_Eng! https://t.co/X6owJ8af3N
- Aug 31, 20262.1x their median
I just heard: a large company is moving from GChat (Google's Chat product) to Slack, because... Slack has much better agent operability (true) Who thought AI+agents would be a big selling point for Slack? Or that Google would sleep on agents + GChat!
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.
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 622 interactions against 354K followers, an engagement rate of 0.177%. Measured over 24 original posts, its engagement rate beats 74% 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 76K times each, and 0.815% of those impressions turn into an interaction. That is about 21.5% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.4 posts a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 10:00 UTC, and Wednesday is the busiest day of the week. Of the 24 posts sampled, 42% carry an image or video, 50% are part of a thread and 25% link out. The account's strongest tracked post pulled 3.6K interactions, about 5.8x its own typical post.
- What is Gergely Orosz's engagement rate on X?
- Gergely Orosz (@GergelyOrosz) has an engagement rate of 0.177%, based on the median interactions across 24 original posts from the last 30 days against 354,308 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.177%, Gergely Orosz sits above the 50th percentile of the 66,258 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 74% 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 @GergelyOrosz post?
- Most posts go out around 10:00 UTC, and Wednesday is its busiest day, at roughly 3.4 posts per day across the measured window.