Alex engagement report
@obchakevich_ - 67K followers on X
Measured over 7 original posts from a 30-day window, last computed on September 20, 2026.
Engagement
Early reading. We have captured 7 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 56 interactions against 67K followers, an engagement rate of 0.083%. Posts are seen about 6.5K times each, and 0.857% of those impressions turn into an interaction. That is about 9.72% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.6 posts a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 15:00 UTC, and Tuesday is the busiest day of the week. Of the 7 posts sampled, 57% carry an image or video and 43% link out. The account's strongest tracked post pulled 219 interactions, about 3.9x its own typical post. Only 7 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 7 original posts from a 30-day window, last computed on September 20, 2026.
Where this sits in the catalog
At 0.083%, Alex sits above the 25th percentile of the 205,582 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 | 0.679% |
| 90th percentile | 2.56% |
| 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 15:00 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 | 57% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 43% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 57% 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.
- 43% 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 529 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
- Sep 17, 20263.9x their median
Tempo has crossed $2,000,000,000 in 30-day stablecoin transfer volume. https://t.co/FQ163FMXkH
- Sep 2, 2026
https://t.co/9m5FSpfg7U
- Sep 10, 2026
Imagine a bank that has been profitable five years running, grew revenue 46% last year, adds a million customers every 17 days - and has 96% of those customers in a single region. That is @Revolut. And the market values it at $75B as a global super-app. I built a model to 2030 from the group's annual reports and the European bank's financial statements. Here is what it shows. First, Revolut is quietly turning into a bank. Interest income rises from 22% to 30% of revenue, the loan book grows from $2.9B to $34B, and credit losses reach $1.3B. That is more than all FX revenue today. Second, Europe is not a "for now" story. Even at the 2028 IPO, 89% of fee revenue will still be European. The US is an option, not a business. Third, and most important: the money is not made at the listing. From $75B, the base case returns 20% a year to 2030 and stays positive even with treasury yields at 1% and cost of risk at 7.5%. But $150 -200B at IPO means 35-47x 2028 earnings. At that price you are not buying Revolut. You are buying the belief that the US will work. Two years until the answer. ___ @jonbma thanks for the idea.
- Sep 15, 2026
Bubbles that can burst at any moment, or not? My map of local stablecoins looks alive: 69 tokens, 29 countries, $1.75B in total. Look closer and a third of it is already cracking. Twenty of the 69 tokens carry a failing grade. Stasis EURS, once the largest euro stablecoin, trades at 1.19 against a euro worth 1.15 and holds $8M. BRZ trades several percent away from the real. A7A5, the ruble token that alone makes up 98% of the CIS bubble, barely holds its peg, has almost no liquidity on-chain, and its issuer is sanctioned. Then there are the tokens with no pulse. EURI, EURQ, AUDF, CADC show a 24-hour change of exactly 0.00%. Nobody is trading them. The Mento family and the wrapped LatAm tokens sit below $100k each, with mint control marked exposed. These are not stablecoins. They are smart contracts with a balance. Regulation finishes what liquidity started. MiCA pushed non-EMI euro tokens off European exchanges in a single year. Brazil, Nigeria and Turkey are drafting their own versions. But the same map shows where the air is going. EURC added 3% in a week and now holds $473M, more than half of Europe. EUR CoinVertible and AllUnity EUR, both bank-issued, grew 4% and 6%. The dirham-backed stablecoin in the UAE reached $14M from zero in months, with a central bank licence behind it. And this week Rain plugged KRW1, the first won-backed stablecoin, issued by BDACS on Avalanche and held in escrow at Woori Bank, into Visa. A local currency that did not exist on-chain a year ago can now be spent at 175 million merchants. The pattern is clear. What dies is unlicensed, unlisted and untraded. What grows has a bank behind it, a regulator in front of it and a card network on top. The obvious conclusion is that local stablecoins are failing. The better one is that most of them never launched. They were pilots, sandboxes and press releases. What will be left when they burst is not less market, but the first real one.
- Jul 8, 2026
For anyone who's been curious about building with Nox: here's your window. 25 days. $1,500 pool. Pick an open source protocol, add privacy, ship something the space actually needs. Let's build 👇 📆Deadline: 2026/08/01 https://t.co/stKO67bQhh
- Sep 4, 2026
https://t.co/TmiuK1bXrj
- Sep 1, 2026
August was the best month of the year for crypto ETFs, with inflows of +$5.5B, of which $3.3B went to Bitcoin. YTD remains negative: -$1.07B 🫣 In August, bitcoin:native ETF received $3.33B, but that’s still less than the outflow in June alone $4.51B. BTC ETFs have not yet recovered even half of what they lost over the summer, while ethereum:native and altcoins are already at their yearly highs in terms of cumulative inflows 🤷♂️ Data used: @artemis
- Sep 11, 2026
https://t.co/RcLMuDgbLE
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 56 interactions against 67K followers, an engagement rate of 0.083%. Posts are seen about 6.5K times each, and 0.857% of those impressions turn into an interaction. That is about 9.72% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.6 posts a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 15:00 UTC, and Tuesday is the busiest day of the week. Of the 7 posts sampled, 57% carry an image or video and 43% link out. The account's strongest tracked post pulled 219 interactions, about 3.9x its own typical post. Only 7 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 Alex's engagement rate on X?
- Alex (@obchakevich_) has an engagement rate of 0.083%, based on the median interactions across 7 original posts from the last 30 days against 67,234 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.083%, Alex sits above the 25th percentile of the 205,582 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 @obchakevich_ have real engagement?
- There is not yet enough sample to rank this account against others of its size.
- When does @obchakevich_ post?
- Most posts go out around 15:00 UTC, and Tuesday is its busiest day, at roughly 1.63 posts per day across the measured window.