Olga Lautman ๐บ๐ธ๐บ๐ฆ engagement report
@OlgaNYC1211 - 231K followers on X
Measured over 24 original posts from a 30-day window, last computed on September 30, 2026.
Engagement
A typical post picks up 280 interactions against 231K followers, an engagement rate of 0.121%. Measured over 24 original posts, its engagement rate beats 63% of 21,185 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 6.0K times each, and 4.63% of those impressions turn into an interaction. That is about 2.62% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.7 posts a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 20:00 UTC, and Tuesday is the busiest day of the week. Of the 24 posts sampled, 8% carry an image or video, 29% are part of a thread and 79% link out. The account's strongest tracked post pulled 8.6K interactions, about 31x its own typical post.
Measured over 24 original posts from a 30-day window, last computed on September 30, 2026. Recurring tag: #osint.
Compared with accounts its own size
Olga Lautman ๐บ๐ธ๐บ๐ฆ's engagement rate beats 63% of the tracked X accounts closest to it in follower count (21,185 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 85% 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 0.121%, Olga Lautman ๐บ๐ธ๐บ๐ฆ sits above the 25th percentile of the 212,925 accounts in this comparison. That places it in the below the median band, which runs 0.025% to 0.146%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.025% |
| 50th percentile | 0.146% |
| 75th percentile | 0.698% |
| 90th percentile | 2.61% |
| 99th percentile | 83.0% |
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 20:00 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 | 8% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 79% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | no effect | -2% to -1% | 42K |
- 8% 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.
- 79% 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 221 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.
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
- Sep 18, 202631x their median
I canโt believe how little media coverage any of this is getting. Russia is escalating across Europe, Poland is warning of possible Russian strikes on NATO countries, and Lithuania is preparing evacuation routes. You wouldnโt know it from our media Link below
- Sep 18, 202625x their median
Hegseth needs to be fired immediately. Literally he is using Russiaโs tactic of hiding military deaths. This is infuriating https://t.co/9Fug4vpzG7
- Jul 1, 202415x their median
Russia wants to confront NATO but dares not fight it on the battlefield โ so itโs waging a hybrid war instead. My latest comments on Russiaโs terrorist attacks, assassinations, and chaos across Europe https://t.co/pNCaIAJ685
- Sep 16, 20269.5x their median
Promised I would write about this, and here it is. Russia is again running operations to help Trump. Its Matryoshka bot network, which is attacking several elections across Europe, is now attacking Dems ahead of the midterm This is only the beginning https://t.co/xOnTNT65rX
- Aug 9, 20268.1x their median
A Russian outlet with longstanding ties to the FSB is openly discussing Russia providing kompromat on Democrats, what Moscow could get in return, and Patel serving as a backchannel to Putin. My latestโฆ https://t.co/R0J7vaBWBb
- Aug 18, 20265.7x their median
This is so surreal. There was so much NATO activity around Kaliningrad earlier today and absolutely no US media outlets covered this. Though Russiaโs TASS in English published something. If it wasnโt for OSINT accounts we would all be in the dark. Anyways my latest https://t.co/JBGjRh5Eiy
- Sep 27, 20265.3x their median
Will international media ever start covering Russiaโs ongoing genocide? Ukrainians in Russian occupied Oleshky are eating grass and weeds to survive and the world stays silent ๐ญ https://t.co/RSRIFmg21i
- Sep 19, 20264.4x their median
Over the past 48 hours, European officials have been sounding the alarm about Russia, with some beginning to prepare for war. Something is up. My latestโฆ https://t.co/8TfvrcdlfK
- Aug 12, 20263.8x their median
โก Russiaโs FSB allegedly uses Orthodox Church priests to target and spy on the US. https://t.co/55p5qzQNLX
- Aug 21, 20263.5x their median
I see some took interest in Fedorov and his election comments. He can say whatever he wants but Ukraine is a country of laws, not a banana republic, and no election can be held during martial law. There is an actual legal process to lift martial law and it canโt happen under Russian missiles & occupation
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 280 interactions against 231K followers, an engagement rate of 0.121%. Measured over 24 original posts, its engagement rate beats 63% of 21,185 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 6.0K times each, and 4.63% of those impressions turn into an interaction. That is about 2.62% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.7 posts a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 20:00 UTC, and Tuesday is the busiest day of the week. Of the 24 posts sampled, 8% carry an image or video, 29% are part of a thread and 79% link out. The account's strongest tracked post pulled 8.6K interactions, about 31x its own typical post.
- What is Olga Lautman ๐บ๐ธ๐บ๐ฆ's engagement rate on X?
- Olga Lautman ๐บ๐ธ๐บ๐ฆ (@OlgaNYC1211) has an engagement rate of 0.121%, based on the median interactions across 24 original posts from the last 30 days against 230,790 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.121%, Olga Lautman ๐บ๐ธ๐บ๐ฆ sits above the 25th percentile of the 212,925 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 @OlgaNYC1211 have real engagement?
- Its engagement rate beats 63% of the tracked X accounts closest to it in follower count (21,185 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 @OlgaNYC1211 post?
- Most posts go out around 20:00 UTC, and Tuesday is its busiest day, at roughly 1.7 posts per day across the measured window.