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Vova Sadkov engagement report

@vsadkovv - 127K followers on X

Measured over 2 original posts from a 30-day window, last computed on October 2, 2026.

Engagement

Per follower
0.113%
of 127K followers
Per impression
0.89%
16K views on a typical post
Reach
12.7%
of its followers see a post
Typical post
146
interactions (median)
Saved
0.012%
2 bookmarks on a typical post
Posting rate
0.17/day
active 13% of days
Peak time
15:00 UTC
Monday

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 146 interactions against 127K followers, an engagement rate of 0.113%. Posts are seen about 16K times each, and 0.89% of those impressions turn into an interaction. That is about 12.9% 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 15:00 UTC, and Monday is the busiest day of the week. Of the 2 posts sampled, 50% carry an image or video and 50% link out. The account's strongest tracked post pulled 1.2K interactions, about 8.3x 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 October 2, 2026.

Where this sits in the catalog

At 0.113%, Vova Sadkov sits above the 25th percentile of the 213,186 accounts in this comparison. That places it in the below the median band, which runs 0.025% to 0.147%.

p100.004%
p250.025%
p50 (median)0.147%
p750.698%
p902.61%
p9982.9%
Engagement rate as a share of followers, across the 213,186 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,400 times apart and a linear axis would flatten everything below the median into a single point.
Show the percentile table
Engagement rate percentiles
PercentileEngagement rate
10th percentile0.004%
25th percentile0.025%
50th percentile0.147%
75th percentile0.698%
90th percentile2.61%
99th percentile82.9%

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 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.

Engagement by hour posted, UTCTwenty-four bars, one per UTC hour. Each bar shows how posts published in that hour compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest hour: 15:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 15:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
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 UTC0%116K
22:00 UTC-2%100K
23:00 UTC-1%90K
Engagement by day of weekSeven bars, one per weekday, Sunday first. Each bar shows how posts published on that day compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest day: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Monday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%393K
Monday+1%483K
Tuesday-2%520K
Wednesday-3%472K
Thursday-2%430K
Friday-3%447K
Saturday+2%393K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

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.

This account's posting mix compared with catalog-wide effects
FormatThis accountCatalog effect95% intervalAccounts behind it
Image or video50% of posts+111%+108% to +115%34K
Outbound link50% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 50% 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 172 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 3% below 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

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  • Jun 24, 20267.8x their median

    LAB is now live on the App Store A great product should meet people where they are Today, LAB is available on iOS bringing us one step closer to our vision of making the world’s most intuitive trading platform accessible to everyone Now, it’s your move https://t.co/rRaS4SmSEA

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  • May 7, 20266.4x their median

    Meet the LAB Mobile app Trading is changing. It's faster, more social, more connected than the tools have ever admitted. We built the one that catches up Built for how we actually trade Built for who we actually trade with Built for the people who've been here the whole time The whole experience, in your pocket, in one tap Download now 👇

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  • Apr 27, 20266.3x their median

    https://t.co/hkPJtHUpnU

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  • May 20, 20262.8x their median

    Your turn to own a bigger piece of what you helped build You can now participate in the latest Rewards Season across the LAB Mobile App and Telegram One product → exciting rewards → less friction The door's open, step in https://t.co/BBfpi5AVWi

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  • May 18, 20262.7x their median

    Tokenized stocks are available for trading on the LAB app Clean execution, no unnecessary steps, just you and the market Once you trade like this, there’s no going back https://t.co/VZ88zV0BOd

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  • May 29, 20262.1x their median

    https://t.co/Tw2foOBrGT

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  • Aug 16, 20261.6x their median

    Quick update on where LAB investors actually stand, since there’s been a lot of discussion around whether early investors really got a good deal. Early investors came in at 16.6M FDV. The public round was 25M FDV. So far, we’ve done 1 unlock out of 6. From that first unlock alone, early investors got back 100% of what they invested. Public investors got back a majority of their full investment, and there are still 5 unlocks ahead. At current prices, the average investor is up around 4x. Were paper gains higher at the peak? Sure. That’s every token in this market. But being around 4x up, with most of your principal already back after just one unlock, is a result I’m proud of. $LAB is currently #2 on Echo’s leaderboard. If our Nozomi allocation had been listed on the Legion leaderboard, LAB would be right up at the very top of that leaderboard as well. A lot of early believers also received $1,000-$2,000+ simply for showing up early and believing in LAB. Are we perfect? Of course not. Can you make everyone in this market happy? Also no. But from day one, we made a very conscious decision to take care of the people who believed in us early. I’m not here to debate anyone or convince people to take my side. I just wanted to put a few thoughts out there and make sure the full picture is being considered. We’ll keep building and let the results speak for themselves.

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  • Sep 28, 20261.6x their median

    Welcome to the all-in-one crypto app Trade, discover, explore, and find your way through everything happening onchain in one place We’ve built a new home for the LAB experience Step inside: https://t.co/doDfTUIfw3 https://t.co/9KwbR2ReTw

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  • Sep 28, 20251.6x their median

    Trading terminals in crypto have always mirrored the maturity of the market Back then trading felt like two separate worlds: cryptography and spreadsheets. If you wanted to trade, you boxed yourself into UIs or tacked spreadsheets and gut-feels onto charts. That fragmentation defined the first era Exchanges then brought retail into a new reality with sophisticated tools like leverage, complex orders, on-chart indicators. These platforms set the standard for usability and access, and they’re the reason trading scaled the way it did One of their biggest contributions was the ecosystems they built around trading. Custodial and non-custodial wallets, integrated DEXs, bridges, and multi-asset infrastructures that gave traders a sense of continuity. They proved that a terminal could become the center of an entire trading life A new era followed with crypto-native terminals. Aggregators, multisig wallets, on-chain analytics, DeFi dashboards that stitched AMMs, oracles and block explorers into single views These platforms showed us what was possible when you combine on-chain truth with real-time tooling. Yet even here there was a gap: composability was being celebrated as a developer concept, not a trader’s asset The power to own your trading stack, monetize your edge, and build a persistent value layer around execution, that was missing That’s why we built @LABtrade_ because the terminal itself should be more than an interface. It should be the value layer $LAB is the connective tissue that converts activity into real, shared economic value. Think about what actually matters to traders and builders From my pov, the obvious lesson is this: the infrastructure you trust should reward you for using it We turned the terminal into a persistent economic layer: every trade, every strategy, every analytics contribution becomes a thread in a fabric that accrues value back to contributors and users If you’ve been in this space long enough, you know the majority of improvements come from aligning incentives LAB is our answer: a clean value layer between execution and economics that finally makes the terminal itself a flywheel I started this because I was tired of watching value walk out the door. I wanted a terminal that respected traders’ time, honored builders’ sweat, and distributed upside fairly. That’s LAB’s promise If you care about ownership over your trading life, not just the illusion of it, come see what we’re building The tools have always existed. Now the tools finally belong to the people who use them

    1511165358K viewsView on X

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 146 interactions against 127K followers, an engagement rate of 0.113%. Posts are seen about 16K times each, and 0.89% of those impressions turn into an interaction. That is about 12.9% 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 15:00 UTC, and Monday is the busiest day of the week. Of the 2 posts sampled, 50% carry an image or video and 50% link out. The account's strongest tracked post pulled 1.2K interactions, about 8.3x 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 Vova Sadkov's engagement rate on X?
Vova Sadkov (@vsadkovv) has an engagement rate of 0.113%, based on the median interactions across 2 original posts from the last 30 days against 126,856 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.113%, Vova Sadkov sits above the 25th percentile of the 213,186 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 @vsadkovv have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @vsadkovv post?
Most posts go out around 15:00 UTC, and Monday is its busiest day, at roughly 0.17 posts per day across the measured window.

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