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ZachXBT engagement report

@zachxbt - 1.1M followers on X

Measured over 1 original post from a 30-day window, last computed on September 1, 2026.

Engagement

Per follower
0.895%
of 1.1M followers
Per impression
0.723%
1.4M views on a typical post
Reach
123.9%
of its followers see a post
Typical post
9.8K
interactions (median)
Saved
0.146%
2.0K bookmarks on a typical post
Posting rate
0.27/day
active 13% of days
Peak time
11:00 UTC
Monday

Early reading. We have captured 1 original post 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 9.8K interactions against 1.1M followers, an engagement rate of 0.895%. Posts are seen about 1.4M times each, and 0.723% of those impressions turn into an interaction. That is about 123.9% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.27 posts a day over the last 30 days, though only 13% of days saw any activity at all. Most posts go out around 11:00 UTC, and Monday is the busiest day of the week. Of the 1 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 54K interactions, about 5.5x its own typical post. Only 1 original post 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 1 original post from a 30-day window, last computed on September 1, 2026.

Where this sits in the catalog

At 0.895%, ZachXBT sits above the 75th percentile of the 36,378 accounts in this comparison. That places it in the top 25% band, which runs 0.432% to 2.10%.

p100.002%
p250.012%
p50 (median)0.08%
p750.432%
p902.10%
p99161.0%
Engagement rate as a share of followers, across the 36,378 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 107,364 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 percentile0.002%
25th percentile0.012%
50th percentile0.08%
75th percentile0.432%
90th percentile2.10%
99th percentile161.0%

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 11:00 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: 11:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 11:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%50K
01:00 UTC-2%51K
02:00 UTC-3%50K
03:00 UTC-4%53K
04:00 UTC-6%43K
05:00 UTC-4%42K
06:00 UTC-4%48K
07:00 UTC-5%52K
08:00 UTC-4%60K
09:00 UTC-3%69K
10:00 UTC-2%72K
11:00 UTC-3%78K
12:00 UTC-2%86K
13:00 UTC-2%94K
14:00 UTC-4%97K
15:00 UTC-2%100K
16:00 UTC-3%97K
17:00 UTC-2%90K
18:00 UTC-1%84K
19:00 UTC-2%79K
20:00 UTC-1%74K
21:00 UTC-1%66K
22:00 UTC-2%57K
23:00 UTC-2%51K
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 5%Busiest day: Monday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+4%230K
Monday0%286K
Tuesday-2%276K
Wednesday-1%251K
Thursday-1%244K
Friday-3%252K
Saturday+3%227K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Sep 19, 20245.5x their median

    1/ An investigation into how Greavys (Malone Iam), Wiz (Veer Chetal), and Box (Jeandiel Serrano) stole $243M from a single person last month in a highly sophisticated social engineering attack and my efforts which have helped lead to multiple arrests and millions frozen. https://t.co/dcY1e9xsPd

    43K6.3K3.3K1.9K15M viewsView on X
  • Sep 1, 20254.5x their median

    NEW LEAK: Price sheet of 200+ crypto influencers and their wallet addresses from a project they were recently contacted by to promote. From 160+ accounts who accepted the deal I only saw <5 accounts actually disclose the promotional posts as an advertisement. https://t.co/Kph9dUvDxB

    30K5.1K5.1K3.6K7.8M viewsView on X
  • Feb 23, 20264.2x their median

    NEW: Major investigation dropping February 26 on one of crypto’s most profitable businesses where multiple employees abused internal data to insider trade over a prolonged period of time. https://t.co/Losou2CZ2N

    29K3.1K5.6K3.7K14M viewsView on X
  • Feb 26, 20262.7x their median

    1/ Meet @WheresBroox (Broox Bauer), one of the multiple @AxiomExchange employees allegedly abusing the lack of access controls for internal tools to lookup sensitive user details to insider trade by tracking private wallet activity since early 2025. https://t.co/KwICQMJL1q

    17K2.6K3.7K3.2K7.2M viewsView on X
  • Mar 5, 2026

    John Daghita (Lick) was arrested in the Caribbean yesterday as a direct result of my investigation. In late January 2026, I exposed how John stole $ 46M+ in seized crypto assets from the US government by abusing access at CMDSS, his father's company, which held a USMS contract. John then taunted me multiple times via his Telegram channel and dust attacked my public wallet address with stolen funds. Thanks for the last laugh, John.

    10K9411.1K1831.1M viewsView on X
  • Aug 1, 2022

    1/ Nomad just got drained for over $150M in one of the most chaotic hacks that Web3 has ever seen. How exactly did this happen, and what was the root cause? Allow me to take you behind the scenes 👇 https://t.co/Y7Q3fZ7ezm

    8.3K2.6K309837View on X
  • Jan 16, 2026

    On January 10, 2026 at around 11 pm UTC a victim lost $282M+ worth of LTC & BTC due to a hardware wallet social engineering scam. The attacker began converting the stolen LTC & BTC to Monero via multiple instant exchanges causing the XMR price to sharply increase. BTC was also bridged to Ethereum, Ripple, & Litecoin via Thorchain. Theft addresses (2.05M LTC, 1459 BTC): bc1qluxw46r55wf3dnk9c652vrt4duadm3hpuktf86 bc1qpsmh26ja0fzzf286zulmt9eywujc2pggj40wzm ltc1qly43c2prj4c2e85dcspzpjd36jnapnenldnr70

    8.1K9031.1K5272.8M viewsView on X
  • Mar 23, 2026

    1/ I uncovered a coordinated network of 10+ accounts manufacturing viral panic about war and politics to drive traffic to crypto scams. Strategy: >Purchase accounts with followers >Doompost multiple times per day >Repost content from alt accounts >Promote fake giveaway or scam >Change username

    7.9K1.2K7252581.2M viewsView on X
  • Aug 24, 2026

    1/ Meet M1llionz (RichMilly666), a French cybercriminal allegedly laundering assets from two violent home invasion robberies in France in April 2026 that netted $667K total, with a history of openly posting about bank and retail fraud on social media. My work has led to a $93K Tether freeze directly tied to these attacks so far.

    8.3K7725701631.4M viewsView on X
  • Apr 19, 2026

    A summary of the RAVE -95% price fluctuation from $26 to $1 over the past 24 hours. RAVE Timeline: April 18, 2026 7:26 am UTC: I posted a call to action for Binance, Bitget, & Gate to investigate RAVE market manipulation and offered a $10K bounty. 10:56 am UTC: I posted an update increasing the bounty to $25K. 11:18 am UTC: Bitget publicly acknowledged the call to action. 2:08 pm UTC: Binance publicly acknowledged the call to action. 3:06 pm UTC: RaveDAO posted claiming they have no involvement. 4:19 pm UTC: Gate publicly acknowledged the call to action. In the days leading up, on April 13 & 14, I confronted RaveDAO co-founder Yemu Xu (wildwoomoo) but have yet to receive an answer. RAVE launched in Dec 2025 on Binance Alpha with a 1B total supply. The addresses below, linked to the initial distribution, control ~95% of the RAVE supply (h/t Mlm): 0x9831156F1a6E506Fca41503590b42F07c2e80f54 0x8Ed6245C3276307E1A9D9Dc872E98A0E770070fd 0x6020656d1EF182173E45D4Fc375BDD5a48c674B0 0x2664cB80a5ee7D8EC05fe7C752dD62E078056E6d 0x2D81F8AeBf3e58A5e638006c9fd8F38C5220ecab 0x31694d761A8e851cFFbCd286aC54D01e5Ce5aFe6 0x0A1F07993a51CcEb4f52CA67765AECeADDA790d7 0xEB74Df8588cFC1C179Df4bd96C0bB8B227B9bE92 0x53d7d52301366DC14E1916b14eFeC1aDD8F3487b I found suspicious CEX activity in April 2026 tied to RaveDAO team addresses onchain, which potentially contradicts their recent statement: Bitget 0x2dc20f2180582172f5450c5d71e23fa438a7031b 0xa3a02aeb97fc1737c66f50d07d024799c137891d 0x2d95eb42525e6087e0cb7869f98da6838ed2e743 Gate 0x31711246b05d71e9eda5e38a3abb654020ee3353 Given the supply concentration, the team at minimum knows who is responsible for this price action. A simple litmus test: $6B in market cap was wiped out on just $52M of 24hr liquidations (h/t CoinGlass). That ratio points to a manipulated and unsustainable valuation. RAVE is not the only token with manipulation we have seen on major centralized exchanges. It's just the most blatant, reaching a top 15 market cap within 10 days before dropping 95% in hours. Other projects with highly questionable price action recently include: SIREN, MYX, COAI, M, PIPPIN, RIVER. Exchanges need faster intervention on manipulation. Detection at scale isn't easy, but each day of delay means retail traders absorb losses while platforms collect fees on the volume. The outcome is the same regardless of intent. While it's good the exchanges responded, I find it unlikely this activity wasn't spotted internally before I raised it publicly. I recognize how much this behavior takes from retail traders, and I plan to investigate similar movements in hopes of identifying the responsible parties. I want to reiterate that I did not take a position. If I had, I would have been liquidated myself. I also could not anticipate if or when the exchanges would comment publicly. My $25K bounty will remain active since the only DMs received were unverified claims rather than non-public information with supporting evidence as requested.

    7.1K1.2K1.1K2921.2M 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 9.8K interactions against 1.1M followers, an engagement rate of 0.895%. Posts are seen about 1.4M times each, and 0.723% of those impressions turn into an interaction. That is about 123.9% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.27 posts a day over the last 30 days, though only 13% of days saw any activity at all. Most posts go out around 11:00 UTC, and Monday is the busiest day of the week. Of the 1 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 54K interactions, about 5.5x its own typical post. Only 1 original post 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 ZachXBT's engagement rate on X?
ZachXBT (@zachxbt) has an engagement rate of 0.895%, based on the median interactions across 1 original posts from the last 30 days against 1,095,217 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.895%, ZachXBT sits above the 75th percentile of the 36,378 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 @zachxbt have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @zachxbt post?
Most posts go out around 11:00 UTC, and Monday is its busiest day, at roughly 0.27 posts per day across the measured window.

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