First Lady ππ» engagement report
@first_reallady - 71K followers on X
Measured over 2 original posts from a 30-day window, last computed on September 14, 2026.
Engagement
Early reading. We have captured 2 original posts for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.
A typical post picks up 192 interactions against 71K followers, an engagement rate of 0.268%. Posts are seen about 15K times each, and 1.26% of those impressions turn into an interaction. That is about 21.6% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.17 posts a day over the last 30 days, though only 13% of days saw any activity at all. Most posts go out around 16:00 UTC, and Monday is the busiest day of the week. Of the 2 posts sampled, 50% link out. The account's strongest tracked post pulled 319 interactions, about 1.7x its own typical post. Only 2 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.
Measured over 2 original posts from a 30-day window, last computed on September 14, 2026.
Where this sits in the catalog
At 0.268%, First Lady ππ» sits above the 50th percentile of the 201,787 accounts in this comparison. That places it in the above the median band, which runs 0.142% to 0.672%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.142% |
| 75th percentile | 0.672% |
| 90th percentile | 2.54% |
| 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 16:00 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 | 0% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 50% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 0% 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.
- 50% 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 537 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
- Jun 27, 20261.7x their median
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- Jun 11, 2026
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- Jul 18, 2026
Nobody really thinks about how easy it is to buy or sell an asset until a trade fills badly and the price moves against them. It's invisible until it costs you money. When people pick a trading platform, they usually judge it on the interface, the fees, or the tools. But none of that matters much compared to what happens the moment you hit buy, whether you get the price you expected or a worse one because the market moved while your order was filling. Looked at order book depth for tokenized US stocks across a few platforms today. On rSPY, depth was showing around $325k versus about $6k on the best competitor I found. rQQQ was roughly $208k versus $9k. Even rMSTR had a real edge. That gap makes sense once you look under the hood, the liquidity is linked directly to real NASDAQ and NYSE markets instead of relying only on internal market makers, which is probably why the depth held up so consistently. Deeper books mean big orders fill closer to the price you actually wanted. Thin books mean a large order can punch through several price level and you eat the slippage. Worth being honest though, depth isnβt the whole story. Spread was more of a mixed bag, some names led, others didnβt. Curious if anyone else has compared execution across these platforms.
- Sep 7, 2026
Late GMβ¨
- Apr 1, 2026
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- Sep 9, 2026
I'd been seeing the memes-paired-with-stocks trend all over my feed, so I asked Grok a question that felt almost too basic: if several tokens all call themselves NVDA, how do I know which one is actually the real one? One of the sources it pulled up was @fletch_now, which I hadn't heard of before. From what I can tell, thousands of tokens on Robinhood Chain are using the name of a listed stock, and some of the copies have more holders than the real thing. That number honestly surprised me. The part that made sense to me was the method. Instead of a team publishing a list and asking you to trust it, the check happens against the issuer's own contract - it either confirms an address or it doesn't. There's no judgment call involved, which feels like the right standard for something people put money into. So before asking which pair is hot this week, I think the first question is simpler: am I even holding the real one? That's what I'll be checking first from now on. https://t.co/Dvz5FtDx9G Fletch is also launching a token on Robinhood called $FLTX
- Jul 10, 2026
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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 192 interactions against 71K followers, an engagement rate of 0.268%. Posts are seen about 15K times each, and 1.26% of those impressions turn into an interaction. That is about 21.6% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.17 posts a day over the last 30 days, though only 13% of days saw any activity at all. Most posts go out around 16:00 UTC, and Monday is the busiest day of the week. Of the 2 posts sampled, 50% link out. The account's strongest tracked post pulled 319 interactions, about 1.7x its own typical post. Only 2 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.
- What is First Lady ππ»'s engagement rate on X?
- First Lady ππ» (@first_reallady) has an engagement rate of 0.268%, based on the median interactions across 2 original posts from the last 30 days against 70,753 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.268%, First Lady ππ» sits above the 50th percentile of the 201,787 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 @first_reallady have real engagement?
- There is not yet enough sample to rank this account against others of its size.
- When does @first_reallady post?
- Most posts go out around 16:00 UTC, and Monday is its busiest day, at roughly 0.17 posts per day across the measured window.