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a16z Frontier engagement report

@a16zfrontier - 1.6M followers on X

Measured over 16 original posts from a 30-day window, last computed on October 25, 2026.

Engagement

Middle of its size range
Per follower
0.019%
of 1.6M followers
Per impression
0.64%
47K views on a typical post
Reach
2.93%
of its followers see a post
Typical post
301
interactions (median)
Saved
0.081%
38 bookmarks on a typical post
Posting rate
1.93/day
active 63% of days
Peak time
19:00 UTC
Friday

A typical post picks up 301 interactions against 1.6M followers, an engagement rate of 0.019%. Measured over 16 original posts, its engagement rate beats 43% of 20,444 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 47K times each, and 0.64% of those impressions turn into an interaction. That is about 2.93% 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 63% of days. Most posts go out around 19:00 UTC, and Friday is the busiest day of the week. Of the 16 posts sampled, 88% carry an image or video and 38% are part of a thread. The account's strongest tracked post pulled 4.3K interactions, about 14x its own typical post.

Measured over 16 original posts from a 30-day window, last computed on October 25, 2026.

Compared with accounts its own size

a16z Frontier's engagement rate beats 43% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 10 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 36% 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 0.019%, a16z Frontier sits above the 10th percentile of the 204,583 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.143%
p750.677%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,583 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,891 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 percentile0.024%
50th percentile0.143%
75th percentile0.677%
90th percentile2.55%
99th percentile82.4%

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 19:00 UTC, and Friday 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: 19:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 19:00 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: Friday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Friday
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 video88% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 88% 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.
  • 0% 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 354 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

  • Jul 24, 202614x 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
  • Oct 21, 20266.5x their median

    At the @USOCC, we have worked diligently and expeditiously to deliver the GENIUS Act final rule ahead of schedule to support President Trump's vision and @SecScottBessent's leadership to grow the economy and lead the global digital currency revolution. Today marks the birth of a new industry having a federal framework for payment stablecoins in the digital age. It also brings us back to our original mission when the OCC was charged with the responsibility for organizing and administering a system of nationally chartered banks and a uniform national currency.

    1.6K3053142116K viewsView on X
  • Aug 7, 20264.9x 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.

    1.0K206128115356K viewsView on X
  • Aug 17, 20264.3x 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, 20264.0x 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

    8492993230270K viewsView on X
  • Sep 12, 20262.4x their median

    What would the CLARITY Act mean for people building and using crypto? 10 building blocks to understand, from how tokens are regulated to protections for open source developers and self-custody. https://t.co/XxKv4SMpMm

    5311235024116K viewsView on X
  • Aug 25, 20262.1x 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

    48267722083K viewsView on X
  • Aug 24, 20262.1x their median

    https://t.co/dNQPygECLr

    514402837197K viewsView on X
  • Oct 9, 20262.0x their median

    AI is getting better at solving hard math problems, especially given recent drops. But what does that mean for the cryptography that protects everything from private messages to healthcare to banking and crypto wallets? Stanford cryptographer Dan Boneh, with @eddylazzarin, @SuccinctJT, @liz_harkavy, and @smc90, makes sense of the warnings sounded recently. They cover: - what’s fact vs. assumption - what’s new and what risks cryptographers have long prepared for - where quantum computing doesn't (and does) fit - opportunities for builders Highlights: 00:37 – What sparked the most recent debate about AI and cryptography 01:35 – Signal vs. noise: What the math does and doesn’t tell us 05:29 – Why cryptography depends on open problems 09:25 – Why the stakes go beyond blockchains 10:43 – How AI could strengthen confidence in cryptography 13:50 – Considerations for users and institutions 20:10 – Where AI and quantum threats overlap 22:32 – Building systems that can change cryptographic methods 23:59 – Hash-based versus lattice-based cryptography 33:07 – Opportunities for builders, and better security tools 38:14 – What comes next if there were a cryptographic break?

    424975928170K 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 301 interactions against 1.6M followers, an engagement rate of 0.019%. Measured over 16 original posts, its engagement rate beats 43% of 20,444 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 47K times each, and 0.64% of those impressions turn into an interaction. That is about 2.93% 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 63% of days. Most posts go out around 19:00 UTC, and Friday is the busiest day of the week. Of the 16 posts sampled, 88% carry an image or video and 38% are part of a thread. The account's strongest tracked post pulled 4.3K interactions, about 14x its own typical post.

What is a16z Frontier's engagement rate on X?
a16z Frontier (@a16zfrontier) has an engagement rate of 0.019%, based on the median interactions across 16 original posts from the last 30 days against 1,604,651 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.019%, a16z Frontier sits above the 10th percentile of the 204,583 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 @a16zfrontier have real engagement?
Its engagement rate beats 43% of the tracked X accounts closest to it in follower count (20,444 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 @a16zfrontier post?
Most posts go out around 19:00 UTC, and Friday is its busiest day, at roughly 1.93 posts per day across the measured window.

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