Eric Cryptoman engagement report
@EricCryptoman - 272K followers on X
Measured over 44 original posts from a 30-day window, last computed on September 23, 2026.
Engagement
A typical post picks up 182 interactions against 272K followers, an engagement rate of 0.067%. Measured over 44 original posts, its engagement rate beats 52% 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 21K times each, and 0.849% of those impressions turn into an interaction. That is about 7.91% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4.8 posts a day over the last 30 days, though only 37% of days saw any activity at all. Most posts go out around 12:00 UTC, and Saturday is the busiest day of the week. Of the 44 posts sampled, 82% carry an image or video and 14% link out. The account's strongest tracked post pulled 6.0K interactions, about 33x its own typical post.
Measured over 44 original posts from a 30-day window, last computed on September 23, 2026. Recurring tag: #coyg.
Compared with accounts its own size
Eric Cryptoman's engagement rate beats 52% 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 38% 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 0.067%, Eric Cryptoman sits above the 25th percentile of the 204,583 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 | 0.677% |
| 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 Saturday 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 | 82% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 14% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | no effect | -2% to -1% | 42K |
- 82% 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 267 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 2, 202633x their median
“Optimus will be the biggest product ever” - Elon Musk https://t.co/0XGVVDvJJC
- Sep 5, 202623x their median
Been a good week so ima give away $500 to 5 random people trading on FOMO ($2500 total) Comment your username underneath, will post winners on Sunday. Sign up for 10% off fees (ireland vpn works): https://t.co/T5rITK37TW https://t.co/grH9FJWwYu
- Sep 19, 202613x their median
Good to be back on the @fomo leaderboard. Given away a bit over $5k to users so far & gonna do another $1000 giveaway for FOMO users - just comment your username underneath: Trade with me on fomo and get 10% off fees! https://t.co/T5rITK37TW https://t.co/azGcex4EOp
- Sep 5, 20266.2x their median
the greatest opportunity cost is time. 3 months ago - $1m pnl meant u were the most visible people on fomo now - $1m pnl barely lands u in top 100 all time 3 months from now - $1m pnl… who knows…
- Sep 21, 20264.1x their median
STRONG SIGNAL 🤖 Tesla is going to deploy Optimus globally 🔥 The company is opening a Sr. Regulatory Compliance Engineer role in Fremont. The goal isn't just to comply with regulations—Tesla wants a seat on standards committees to help write the global safety codes for humanoid robots 🔥 The listed standards (ISO 13482 for personal care/service robots and ISO 10218 for industrial cobots) show Optimus is preparing for certification both on factory floors and around everyday humans 🔥
- May 28, 20262.6x their median
#HODL - How it started & where it is today. A mini-documentary on the history of HODL, featuring GameKyuubi (@HODLAndChill64) & many more. https://t.co/8Nhzluazjw
- Sep 20, 20262.4x their median
It pays to hodl Argus launched tokens. Check out these rewards! 1. @DukeArcLore - $324,481.57 2. @USDCat__ - $308,316.77 3. @fatcatbatratark - $208,818.54 4. @pionarc - $147,285.36 5. @ArcInuX - $131,475.63 The #1 $USDC use case on @arc is Argus https://t.co/oFr7uVcLe6
- Sep 4, 20262.1x their median
If your group chats aren't feeding you 10-100xs every few hours atm, you need a new group chat.
- Sep 18, 20261.9x their median
This is how $ASKR wins. Look at what the market already pays for... OpenRouter: every AI model, one balance, a small cut on every request. $160M a year. Bought by Stripe in August for about $10B. Venice: an AI app with a token. $100M a year. Its fees buy back and burn their token. About a $2B valuation. The platform concept has been declared! heyaskr: swap any asset for any AI... every major model in one UI behind one balance. The same starting shape. Now look at what users actually want... (and nobody has shipped) 1. Personalised fusion models. A model built for one person and one person only, from how they actually interact with AI, to what they work on and the style that they prefer. One model based on pure performance or pure cost effectiveness. Built by splitting context and tasks through existing AI models. 2. Shared memory. What you told one model, stays with every other model no matter the company or AI type. Now when you switch a model, or api, or company, it's a fresh state. AN example is claude refusing to read knowledge from codex, useless. 3. Personalised skills. Borrow, take or build a workflow once, run it on any model. Why let AI over think, over code, waste credits or simply do anything but the thing you want? Here's a harsh truth about the AI market... Nobody is loyal. People switch from Claude to Codex every week, based on tweets, resets, performance, narratives. Whoever gives a user exactly what they want at that moment in time wins the user. The best answer or the cheapest one, from a model built around them and them only... keeps that user. Do that for tens of millions of people and you are the platform and balance every one of them spends from. That is the $ASKR roadmap... Build what the majority of AI users want actually want, and then take the users from other platforms. Short and sweet - they want pure performance that is cost effective for their exact jobs. Read the steps: https://t.co/Yxj7KnHORi PS: and on top of that we are building novel concepts too... marketplaces where you can trade in and out from crypto to ai credits back to a different crypto. Does hedging trades with codex credits sounds fun?
- Dec 25, 20231.8x their median
the upsidedowncat is maybe the funniest meme i’ve seen since $wif
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 182 interactions against 272K followers, an engagement rate of 0.067%. Measured over 44 original posts, its engagement rate beats 52% 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 21K times each, and 0.849% of those impressions turn into an interaction. That is about 7.91% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4.8 posts a day over the last 30 days, though only 37% of days saw any activity at all. Most posts go out around 12:00 UTC, and Saturday is the busiest day of the week. Of the 44 posts sampled, 82% carry an image or video and 14% link out. The account's strongest tracked post pulled 6.0K interactions, about 33x its own typical post.
- What is Eric Cryptoman's engagement rate on X?
- Eric Cryptoman (@EricCryptoman) has an engagement rate of 0.067%, based on the median interactions across 44 original posts from the last 30 days against 271,642 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.067%, Eric Cryptoman sits above the 25th percentile of the 204,583 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 @EricCryptoman have real engagement?
- Its engagement rate beats 52% 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 @EricCryptoman post?
- Most posts go out around 12:00 UTC, and Saturday is its busiest day, at roughly 4.77 posts per day across the measured window.