Lady M engagement report
@CryptoLady_M - 219K followers on X
Measured over 14 original posts from a 30-day window, last computed on September 30, 2026.
Engagement
A typical post picks up 113 interactions against 219K followers, an engagement rate of 0.049%. Measured over 14 original posts, its engagement rate beats 46% of 20,444 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 46K times each, and 0.245% of those impressions turn into an interaction. That is about 21.1% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.3 post a day over the last 30 days, with activity on roughly 77% of days. Most posts go out around 12:00 UTC, and Monday is the busiest day of the week. Of the 14 posts sampled, 100% carry an image or video and 14% link out. The account's strongest tracked post pulled 3.7K interactions, about 33x its own typical post.
Measured over 14 original posts from a 30-day window, last computed on September 30, 2026.
Compared with accounts its own size
Lady M's engagement rate beats 46% of the tracked X accounts closest to it in follower count (20,444 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 14% 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 0.049%, Lady M sits above the 25th percentile of the 204,798 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.143%.
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 12:00 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 | 100% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 14% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 100% 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.
- 14% 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 643 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
- Dec 27, 202533x their median
https://t.co/ZAGFhPTJC4
- Dec 26, 202315x their median
A month ago Nancy Pelosi spent millions on $NVDA call options that expire 12/20/2024 at $120 Today I copied her trade (paid a little more than her but only by around $3 per contract) We’ll see how this plays out 🍿 https://t.co/wTO0leZNuy
- Aug 27, 2026
NFT trading is heating up again. If you’re exploring Robinhood Chain but don’t know which NFT to collect, here’s the tier list I put together based on current attention and liquidity: S TIER | StonkBrokers, Cash Cats A TIER | Chain Mancers, Cash Cats Brokers, OnChainHoodies B TIER | Hodl Forest, pyopyopyopyo, Broker Punks, PitBoys, Script Kiddies C TIER | Robinhood Punks, Zaibatsu Wagies, MonkeyHood, Gremlin Cartel, Wolves of the Wallstreet, Robinhood Kitties What you guys think?
- Aug 28, 2026
Every emerging ecosystem has created its own billion-dollar, sometimes even $10B+ projects. Robinhood Chain is still early, but its RWA, DeFi, AI Agent and launchpad ecosystems are taking shape fast. I researched 15 key projects across the Robinhood ecosystem, hoping this gives those still watching from the sidelines a better idea of where to start. TIER 1 | Core Infrastructure @Morpho: Core lending layer and a key piece of Robinhood Earn. @Lighter_xyz: Major perpetuals venue integrated with Robinhood Wallet, with Stock Token collateral support. @arcus_xyz: Spot + perpetual trading for tokenized stocks, focused on zero-fee RWA trading. @rialto_xyz: PropAMM-powered spot exchange improving 24/7 liquidity and pricing. @virtuals_io: AI Agent launch and coordination layer powering the emerging Agent economy. TIER 2 | High Traction + Utility @ponsdotfamily: Leading native launchpad with strong launches, volume and fee sharing. @TheIndexFi: Uses trading fees to buy Stock Tokens, combining RWA exposure with on-chain distribution. @cashcatfun: One of Robinhood Chain’s most recognizable native memes, with strong volume and community traction. @bankrbot: Agent infrastructure for token launches, fees and treasury automation. @ClutchMarkets: Decentralized markets + meme-stock launches with growing ecosystem activity. TIER 3 | Early Builders @NetNetCap: Reserve management + gamified stocks with an on-chain treasury focus. @ProjectVEXai: AI trading runtime built for Agent execution. @sherwoodagent: Agent capital layer focused on AI-managed strategies and LPs. @deltaliquidity: Liquidity infrastructure with active TVL and LP activity. @uponrh: Native (3,3) liquidity and vault protocol with yield sharing. Robinhood Chain is still early, and this list will evolve fast. What project deserves a spot on this list?
- Aug 26, 2026
My personal Robinhood meme tier list. If you’re not sure which one to buy, take a look at this list first. S TIER | $CASHCAT, $PONS A TIER | $AI, $GOOD, $HMM,$JUGGERNAUT B TIER | $FOX, $CHUMP, $NET, $YOLO, $INDEX C TIER | $PCC,$OBS, $MARTIANS,$RICK, $MANEKI, $HOOD10 Where does your bag rank？Any memes missing? 🤔
- Jun 22, 2026
What does MicroStrategy’s MNAV dropping to 0.81 actually mean? Over the past 1,825 days of history, this extreme situation has only occurred for a total of 10 days. In other words, the historical probability of this happening is only 0.55%. If you agree with MicroStrategy's playbook, I have to remind you that this is a great buying opportunity.
- Aug 26, 2026
Crypto whales are accumulating NFTs in large numbers again. What are they seeing that the rest of the market hasn’t noticed yet? I looked through the recent onchain activity of several whales, and the answer may be hiding in what they’ve been sweeping: Banana Bullet spent around 180 ETH on 118 NFTs, including BAYC, MAYC, Pudgy Penguins, and Moonbirds. Adam Weitsman increased his StonkBrokers holdings to 64 NFTs. MeebCo Labs spent 5 ETH on its second StonkBroker. Another anonymous whale wallet swept 51 Lil Pudgys in one go. NFTs might really be heading for another 2021-style run.
- Sep 10, 2026
I’m still bullish on $PONS. If you missed the first run, this pullback might be a pretty good opportunity to start paying attention again. Just look at the Launchpad numbers: https://t.co/IldQ9n84Z0: $377.6M 24h volume Pons: $286.6M 24h volume https://t.co/IldQ9n84Z0: 34,184 tokens launched Pons: 25,193 tokens launched Pons is already doing around 76% of https://t.co/IldQ9n84Z0’s daily volume and 74% of its token launches. Now look at the valuations: $PONS: ~$396M $PUMP: ~$1.57B $PONS is still valued at only about 25% of $PUMP. And I don’t think Pons will just catch up with https://t.co/IldQ9n84Z0. What happens if Pons actually surpasses https://t.co/IldQ9n84Z0? At today’s valuations, simply reaching $PUMP’s current market cap would mean nearly 4x from here for $PONS. Just imagine that.
- Aug 19, 2026
After more than two months, BTC has finally broken above $68,500 https://t.co/VUiihC2584
- Aug 24, 2026
If $PUMP can trade at $2B, I don’t see why $PONS can’t. The logic is simple: 1. The valuation gap is huge. $PONS is around $40–44M with roughly $56M in annualized revenue, less than 1x revenue. $PUMP is around $2B with $320–390M in annualized revenue, roughly 5–6x. Even at a much lower multiple than $PUMP, $PONS has a lot of room to run. 2. The tokenomics are better. 80% of PONS revenue goes to buying back and burning $PONS. Around 28.5% of the total supply has already been burned. More revenue = more buybacks = less supply. 3. $PONS is basically the $PUMP of Robinhood Chain. $PUMP became huge with Solana’s meme boom. $PONS sits in a similar position on Robinhood Chain, except Robinhood Chain is still very early. If the ecosystem keeps growing, PONS should grow with it. 4. The numbers are moving, but the price hasn’t caught up. PONS keeps generating revenue, more tokens are launching, and the buybacks keep running. So the question is simple: If Robinhood Chain takes off, how much is its main launchpad really worth?
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 113 interactions against 219K followers, an engagement rate of 0.049%. Measured over 14 original posts, its engagement rate beats 46% of 20,444 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 46K times each, and 0.245% of those impressions turn into an interaction. That is about 21.1% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.3 post a day over the last 30 days, with activity on roughly 77% of days. Most posts go out around 12:00 UTC, and Monday is the busiest day of the week. Of the 14 posts sampled, 100% carry an image or video and 14% link out. The account's strongest tracked post pulled 3.7K interactions, about 33x its own typical post.
- What is Lady M's engagement rate on X?
- Lady M (@CryptoLady_M) has an engagement rate of 0.049%, based on the median interactions across 14 original posts from the last 30 days against 219,049 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.049%, Lady M sits above the 25th percentile of the 204,798 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 @CryptoLady_M have real engagement?
- Its engagement rate beats 46% of the tracked X accounts closest to it in follower count (20,444 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 @CryptoLady_M post?
- Most posts go out around 12:00 UTC, and Monday is its busiest day, at roughly 1.3 posts per day across the measured window.