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a16z crypto engagement report

@a16zcrypto - 1.4M followers on X

Measured over 21 original posts from a 30-day window, last computed on August 31, 2026.

Engagement

Middle of its size range
Per follower
0.023%
of 1.4M followers
Per impression
0.638%
52K views on a typical post
Reach
3.67%
of its followers see a post
Typical post
331
interactions (median)
Saved
0.112%
58 bookmarks on a typical post
Posting rate
1.93/day
active 70% of days
Peak time
20:00 UTC
Tuesday

A typical post picks up 331 interactions against 1.4M followers, an engagement rate of 0.023%. Measured over 21 original posts, its engagement rate beats 47% of 3,791 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 52K times each, and 0.638% of those impressions turn into an interaction. That is about 3.61% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.9 posts a day over the last 30 days, with activity on roughly 70% of days. Most posts go out around 20:00 UTC, and Tuesday is the busiest day of the week. Of the 21 posts sampled, 76% carry an image or video and 19% link out. The account's strongest tracked post pulled 4.3K interactions, about 13x its own typical post.

Measured over 21 original posts from a 30-day window, last computed on August 31, 2026.

Compared with accounts its own size

a16z crypto's engagement rate beats 47% of the tracked X accounts closest to it in follower count (3,791 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 39% 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 0.023%, a16z crypto sits above the 25th percentile of the 36,654 accounts in this comparison. That places it in the below the median band, which runs 0.012% to 0.08%.

p100.002%
p250.012%
p50 (median)0.08%
p750.433%
p902.10%
p99160.5%
Engagement rate as a share of followers, across the 36,654 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 106,977 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 percentile0.433%
90th percentile2.10%
99th percentile160.5%

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 20:00 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.

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: 20:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 20:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%51K
01:00 UTC-2%52K
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%61K
09:00 UTC-3%70K
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%101K
16:00 UTC-3%98K
17:00 UTC-2%91K
18:00 UTC-1%85K
19:00 UTC-1%80K
20:00 UTC-1%74K
21:00 UTC-1%66K
22:00 UTC-1%57K
23:00 UTC-2%52K
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: Tuesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 5%Busiest day: Tuesday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+4%231K
Monday0%288K
Tuesday-2%278K
Wednesday-1%251K
Thursday-1%245K
Friday-3%253K
Saturday+3%227K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Jul 24, 202613x their median

    🚨NEWS: The National Fraternal Order of Police, one of the key law enforcement groups involved in negotiations over the Blockchain Regulatory Certainty Act, is now backing the latest version of the Clarity Act, saying revised BRCA language addresses its previous concerns and preserves law enforcement’s ability to investigate crypto crimes. The BRCA remained unchanged in the latest version of the bill released Wednesday, so it’s unclear what changes the group is referencing.

    3.5K67413662308K viewsView on X
  • Aug 7, 20264.5x their median

    Stablecoins are increasingly being spent by card swipe. Crypto payment cards have gone from a novelty to more than $750 million in monthly spend. These cards let people pay with crypto anywhere traditional card networks are accepted. Behind the scenes, the crypto — stablecoins, overwhelmingly — gets converted to local currency at the point of sale, so the payments look like any other card transactions to merchants. Crypto cardholders don’t require a traditional bank account. Depending on the program, users either deposit stablecoins with a card issuer, or hold them directly onchain through self-custody. Crypto cards expand people’s access to U.S. dollar accounts globally, and they offer a convenient way for stablecoin holders to transact.

    1.1K206126113351K viewsView on X
  • Aug 17, 20263.9x their median

    .@cdixon on "Climbing the wrong hill": https://t.co/sYYjcC1XmR

    1.1K1333433148K viewsView on X
  • May 15, 20263.7x their median

    https://t.co/5HWCyID7R0

    8842206164580K viewsView on X
  • Jul 27, 20263.7x their median

    1/ It’s Monday and we have a big week ahead for the Clarity Act. As CCI goes back to the Hill, we are countering the Clarity myths and setting the record straight. 🧵 https://t.co/ncGkYHZdTf

    8563013230269K viewsView on X
  • Aug 25, 20261.9x their median

    When you use a credit card, a 1¢ payment costs 31¢. That math doesn't work for AI agents making thousands of tiny payments a day. @samrags_ of @merit_systems explains why stablecoins could be the rail the agent economy runs on. https://t.co/P1o2CMuaNu

    48766701880K viewsView on X
  • Aug 24, 20261.9x their median

    https://t.co/dNQPygECLr

    513372737190K viewsView on X
  • Aug 25, 20261.7x their median

    Can a sufficiently powerful quantum computer forge the signatures used to authorize Bitcoin and Ethereum transactions? What would it take to upgrade both networks before that happens? In this new lecture, Stanford cryptographer @danboneh explores why blockchains may turn to signatures built from hash functions. He also presents new research on threshold signing. The talk ends with the questions Bitcoin still has to answer, including whether post-quantum signatures will require larger blocks, what happens to abandoned coins, and how someone such as Satoshi could prove ownership after Bitcoin’s current signatures have been retired. 00:00 Why blockchains need to prepare for quantum computers 03:05 Why Bitcoin may bet on hash-based signatures 06:25 The “big footgun” in stateful signatures 08:58 A quantum-safe signature that takes one billion hashes 14:13 Inside SLH-DSA’s virtual tree 20:30 How Bitcoin and Ethereum could make the switch 23:48 What happens when a wallet loses its state? 32:47 Can threshold signing survive the quantum transition? 36:39 How to hide lattice cryptography from the blockchain 38:49 Why threshold one-time signatures seem impossible 45:36 How context prevents forged signatures 49:37 The forgotten idea behind Winternitz signatures 54:50 Turning one-time signatures into threshold signatures 1:04:27 Will quantum-safe signatures require bigger Bitcoin blocks? 1:06:26 Abandoned bitcoin and Satoshi’s recovery problem

    4161003622112K viewsView on X
  • Aug 4, 20261.5x their median

    It appears that the @WSJopinion Editorial Board didn't fact check their article about CLARITY, so we did it for them: https://t.co/eFmCehBaHs

    354104261666K viewsView on X
  • Aug 9, 2026

    Crypto payment cards remain a small market next to traditional card networks, which process trillions of dollars per month. But the trend is growing as stablecoins make greater inroads into the global financial system, including by piggybacking on existing major card network rails. For the tracked programs, this is happening almost entirely through Visa.

    3553864746K 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 331 interactions against 1.4M followers, an engagement rate of 0.023%. Measured over 21 original posts, its engagement rate beats 47% of 3,791 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 52K times each, and 0.638% of those impressions turn into an interaction. That is about 3.61% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.9 posts a day over the last 30 days, with activity on roughly 70% of days. Most posts go out around 20:00 UTC, and Tuesday is the busiest day of the week. Of the 21 posts sampled, 76% carry an image or video and 19% link out. The account's strongest tracked post pulled 4.3K interactions, about 13x its own typical post.

What is a16z crypto's engagement rate on X?
a16z crypto (@a16zcrypto) has an engagement rate of 0.023%, based on the median interactions across 21 original posts from the last 30 days against 1,439,151 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.023%, a16z crypto sits above the 25th percentile of the 36,654 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 @a16zcrypto have real engagement?
Its engagement rate beats 47% of the tracked X accounts closest to it in follower count (3,791 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 @a16zcrypto post?
Most posts go out around 20:00 UTC, and Tuesday is its busiest day, at roughly 1.93 posts per day across the measured window.

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