Alex Veremeyenko engagement report
@alex_verem - 104K followers on X
Measured over 11 original posts from a 30-day window, last computed on October 23, 2026.
Engagement
A typical post picks up 62 interactions against 104K followers, an engagement rate of 0.06%. Measured over 11 original posts, its engagement rate beats 42% 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 6.7K times each, and 0.93% of those impressions turn into an interaction. That is about 6.44% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.2 posts a day over the last 30 days, though only 13% of days saw any activity at all. Most posts go out around 15:00 UTC, and Wednesday is the busiest day of the week. Of the 11 posts sampled, 45% carry an image or video, 45% are part of a thread and 18% link out. The account's strongest tracked post pulled 12K interactions, about 199x its own typical post.
Measured over 11 original posts from a 30-day window, last computed on October 23, 2026.
Compared with accounts its own size
Alex Veremeyenko's engagement rate beats 42% of the tracked X accounts closest to it in follower count (21,185 accounts, accounts of similar size (decile 7 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 0.06%, Alex Veremeyenko sits above the 25th percentile of the 212,349 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 | 0.696% |
| 90th percentile | 2.61% |
| 99th percentile | 83.1% |
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 Wednesday 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 | 45% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 18% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 45% 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.
- 18% 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 910 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, 2026199x their median
found the perfect use case for @typesafeai Jev: instant compaction in 2026, why is compaction still a summarization prompt? Jev can make it instant by scoring every tool call and dropping what’s irrelevant https://t.co/h6NzKzNpCg
- Oct 21, 202692x their median
The China state-aligned threat actor Storm-0940 used the agentic AI penetration testing framework ARTEX to automate attacks targeting hundreds of organizations globally across a broad range of industries. Microsoft Threat Intelligence assesses that Storm-0940 was responsible for the recently disclosed ConnectWise supply chain compromise of a multitenant application. https://t.co/VXovj0jI90 Our investigation found that Storm-0940's use of ARTEX accelerated the speed of compromised application abuse to authenticate to target environments through applications that had already been granted access, allowing the threat actor to operate without requiring an interactive user sign-in. AI-accelerated follow-on activity included reconnaissance, application credential changes, and attempts to modify privileges that could enable expanded or persistent access. Read our blog for a detailed analysis and indicators of compromise (IOCs), along with Microsoft Defender detections, protection recommendations, and guidance on investigating service principal sign-ins and unexpected application credential or privilege changes.
- Sep 4, 202636x their median
BREAKING: Hikers had to be rescued after using AI chatbots to plan their climb up a mountain
- Feb 4, 202525x their median
I stopped using AI for writing, and at first, it felt like I lost a part of my brain. For months, AI had been my silent co-writer. Need an idea? AI. Stuck on a sentence? AI. Want a better hook? AI. So I made a drastic decision: No AI for writing. Here’s what happened 🧵: https://t.co/c1YM3yDCkp
- Sep 4, 202616x their median
Found a GitHub repo that gives your AI agent 50 marketing specialists for free. It's called marketingskills, built by Corey Haines, and it sits at 46,800 stars with 7,300 forks. The idea is simple. Skills are markdown files. Each one teaches an AI agent how to do one marketing job, with the frameworks and checklists a good marketer carries in their head. There are 50 of them, covering copywriting, CRO, cold email, pricing, SEO audits, A/B testing, churn prevention, ad creative, launch planning, referral programs, and the list keeps going. They're also wired together. One skill called product-marketing holds the context about your product, your audience, and your positioning. Every other skill reads that file first before doing anything. So the copywriting skill and the pricing skill work from the same understanding of what you sell. A few of them caught my eye. marketing-council spins up a simulated board of advisors so you get several expert takes on one question instead of a single answer. marketing-loops sets up recurring workflows an agent runs on a schedule without you re-prompting it. marketing-ideas is a bank of 139 ideas for SaaS products you can pull from when you're stuck. Installing is one command. It works with Claude Code, Codex, Cursor, Windsurf, and anything else that follows the Agent Skills spec. You type "help me optimize this landing page for conversions" and the right skill kicks in on its own. Is a folder of markdown files worth more than a $5,000 a month marketing hire?
- Aug 19, 202615x their median
Nvidia and a homebuilder want to bolt $150,000 of GPUs onto new American houses. The box is the size of an AC unit. It's liquid-cooled, runs without fans, and bolts straight onto the exterior wall. Inside sit 16 Blackwell server GPUs, 4 server CPUs, and 3TB of RAM, which puts over $150,000 of hardware on the side of the house at roughly $10,000 per GPU. The homeowner never buys any of it. Hosting is the whole arrangement, traded for subsidized electricity and internet, a smart panel, and a backup battery, usually against a flat fee of around $150 a month. Span, the startup behind the program, keeps full ownership of the GPUs and sells the compute to AI cloud providers. The pilot covers 100 new homes in the Southwest, and the stated target is 80,000 nodes pushing a gigawatt of compute by 2027. Here's why the deal exists at all. Seven in ten Americans oppose a data center near them, and New York and Texas have paused permits for the large ones. A box on a private house skips that entire fight. The suburb quietly becomes AI infrastructure. The compute value flows to the companies, the homeowner gets a discount on their bills, and the rules for compute on a private house haven't been written yet. Would you take that trade?
- Oct 22, 20266.1x their median
🚨 BREAKING: Security researchers are calling this week "Black October." AI helped find two critical holes in PHP. PHP runs about 70% of the websites on Earth. The last 72 hours: → Researchers working with OpenAI, plus Wiz, found the bugs with AI back in August → Details leaked early. PHP shipped emergency patches Wednesday → Cloudflare saw tens of thousands of exploit attempts in the first 45 minutes. Millions within hours → The FBI told site owners: patch now or take your site offline → Finland and Japan took government sites offline. Wikimedia, the Internet Archive and 4chan went dark to patch Then the banks: → Shizuoka Bank in Japan shut off online banking and its app. No data leaked. They pulled it to be safe → Mizuho, MUFG, Nomura and Daiwa paused parts of their web services → Japan's bankers association had to confirm interbank payments weren't hit → In the US, major banks found unvetted AI agents logging into customer accounts with customers' own passwords. Some tried actions their users never asked for. Morgan Stanley is blocking them. JPMorgan, Citi and Bank of America are restricting them Last month the Bank for International Settlements warned banks that the gap between finding a bug and exploiting it has shrunk from weeks to minutes. This week proved it. PHP wasn't alone this month: → GitLab: a flaw rated 10.0. The maximum severity score → Node.js: 10 vulnerabilities fixed in one release → A certificate authority in India: 8 certificates with keys a laptop cracked in under a second. One key was the number 4. That's the system that proves your bank's website is really your bank → One hacker's AI agents broke into 100+ company websites. About $50 per break-in. Instructions under 100 characters One more number worth mentioning: 13. That's how many engineers, full and part-time, the PHP Foundation has to maintain the language. AI pulls in billions. The code under 70% of the internet runs on donations.
- Aug 19, 20266.0x their median
A PE firm hired us to run technical diligence on a SaaS target before close. The data room looked clean: $6M ARR growing 35% year over year with SOC 2 Type II in place, and the CTO walked us through their security stack for forty minutes. We asked a question the deal team skipped: how does your team use AI day to day? The CTO listed two approved tools, but when we scanned their network traffic we found fourteen. Employees had pasted customer PII into personal ChatGPT accounts, and three teams built internal workflows on unsanctioned API keys billed to personal credit cards. The security team knew about two of the fourteen tools, and finance knew about zero. The company had no AI governance policy and no record of which models touched customer data. The PE firm repriced the deal. IBM's 2026 breach report found 43% of security incidents involve unapproved AI tools, double the previous year's rate. Those breaches cost $6 million on average, a million above the $5 million baseline. ISO published new liability forms in January 2026 excluding generative AI from general coverage, and carriers are writing absolute AI exclusions into specialty lines. Buy a company with unscoped shadow AI, and the insurer may deny the claim. Your diligence team reviews code and infrastructure, but they don't scope AI usage across the org. We run shadow AI scans on every diligence now. Haven't found a clean one yet.
- Sep 17, 20265.1x their median
https://t.co/3q8ScyoDVU
- Sep 3, 20263.8x their median
https://t.co/plUo0Y2CY4
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 62 interactions against 104K followers, an engagement rate of 0.06%. Measured over 11 original posts, its engagement rate beats 42% 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 6.7K times each, and 0.93% of those impressions turn into an interaction. That is about 6.44% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.2 posts a day over the last 30 days, though only 13% of days saw any activity at all. Most posts go out around 15:00 UTC, and Wednesday is the busiest day of the week. Of the 11 posts sampled, 45% carry an image or video, 45% are part of a thread and 18% link out. The account's strongest tracked post pulled 12K interactions, about 199x its own typical post.
- What is Alex Veremeyenko's engagement rate on X?
- Alex Veremeyenko (@alex_verem) has an engagement rate of 0.06%, based on the median interactions across 11 original posts from the last 30 days against 103,509 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.06%, Alex Veremeyenko sits above the 25th percentile of the 212,349 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 @alex_verem have real engagement?
- Its engagement rate beats 42% 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 @alex_verem post?
- Most posts go out around 15:00 UTC, and Wednesday is its busiest day, at roughly 2.17 posts per day across the measured window.