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Zama engagement report

@zama - 259K followers on X

Measured over 21 original posts from a 30-day window, last computed on September 23, 2026.

Engagement

Middle of its size range
Per follower
0.064%
of 259K followers
Per impression
0.922%
18K views on a typical post
Reach
6.95%
of its followers see a post
Typical post
170
interactions (median)
Saved
0.033%
6 bookmarks on a typical post
Posting rate
3.6/day
active 70% of days
Peak time
11:00 UTC
Tuesday

A typical post picks up 170 interactions against 259K followers, an engagement rate of 0.064%. Measured over 21 original posts, its engagement rate beats 51% 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 18K times each, and 0.922% of those impressions turn into an interaction. That is about 7.13% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.6 posts a day over the last 30 days, with activity on roughly 70% of days. Most posts go out around 11:00 UTC, and Tuesday is the busiest day of the week. Of the 21 posts sampled, 57% carry an image or video, 10% are part of a thread and 29% link out. The account's strongest tracked post pulled 764 interactions, about 4.5x its own typical post.

Measured over 21 original posts from a 30-day window, last computed on September 23, 2026. Recurring tag: #fhe.

Compared with accounts its own size

Zama's engagement rate beats 51% of the tracked X accounts closest to it in follower count (20,444 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 40% 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 0.064%, Zama sits above the 25th percentile of the 204,694 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.143%.

p100.004%
p250.024%
p50 (median)0.143%
p750.677%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,694 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,880 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 11:00 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: 11:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%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%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: Tuesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Tuesday
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 video57% of posts+111%+108% to +115%34K
Outbound link29% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 57% 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.
  • 29% 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 304 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

  • Aug 16, 20264.5x their median

    5-10 years ago I used to joke a lot that someone should combine Fully Homomorphic Encryption with Blockchain-based smart contracts. In theory, it's an amazing combination: blockchains are by their nature fully public, since they work by having many independent nodes verify the computation. But FHE can fix this, since it allows an encrypted computation to be performed on a machine where the machine itself cannot see the encrypted data. Also FHE and blockchain are both things VCs were pouring money into at the time, so this idea would be the ultimate funding magnet. What made it a funny joke is that FHE and blockchain are two technologies that each impose like ~1000x overhead on the compute, so combining them meant ~1,000,000x overhead. Processing one smart contract could have taken enough energy to power a small country, etc. But it stopped being funny to me when I discovered a startup that actually raised a bunch of money on this idea. 🤦 Anyway, that was back before AI got popular. Now we have yet another high-compute-overhead technology to throw into the mix. So here's my new pitch: We run an LLM, inside fully homomorphic encryption, on the blockchain.

    63532742387K viewsView on X
  • Sep 18, 20262.7x their median

    zec = bitcoin with privacy zama = ethereum with privacy

    324458211132K viewsView on X
  • Aug 10, 20262.7x their median

    https://t.co/4BIjV2MKo6

    35137571692K viewsView on X
  • Sep 19, 20262.0x their median

    A lot of people hearing about @zama for the first time today. If you have any questions just ask me here!

    23023781239K viewsView on X
  • Aug 24, 20261.9x their median

    Tell your friends Zama is building for blockchains what HTTPS was for the internet.

    2255338918K viewsView on X
  • Sep 15, 20261.8x their median

    https://t.co/qhDo80z4lQ

    20953251236K viewsView on X
  • Aug 6, 20261.7x their median

    JUST IN: Zama partners with @HypernativeLabs for continuous onchain monitoring across the Zama Protocol. The integration gives operators real-time visibility into protocol activity while preserving the confidentiality of assets and transactions.

    2073933825K viewsView on X
  • Sep 19, 20261.6x their median

    Are you going to @kbwofficial and @token2049? Come meet the Zama team: šŸ‡°šŸ‡· Sep 30, @ProofOfLiq, Seoul šŸ‡øšŸ‡¬ Oct 6, @Yield_Summit, Singapore šŸ‡øšŸ‡¬ Oct 7-8, @token2049, Singapore šŸ‡øšŸ‡¬ Oct 7, Confidential Dinner by @zama, Singapore šŸ‡øšŸ‡¬ Oct 9, @Vault__Summit, Singapore https://t.co/NrHZCra5oy

    2102529115K viewsView on X
  • Aug 30, 2026

    Eventually, every accounting department will pay onchain invoices in confidential stablecoins, because leaking a contract amount to everyone reading an explorer is a strange way to run a business. https://t.co/sKWJFoAOz3

    1982423819K viewsView on X
  • Jul 30, 2026

    Confidential finance is live with the Zama Protocol. The next step is to grow the application ecosystem. Zama Developer Program Season 4 challenges the developers community to build a confidential version of the prize savings application @PoolTogether_. https://t.co/Ss69yjJKEF

    1932619831K 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.

Recurring topics

#fhe

The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.

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Reading these numbers

A typical post picks up 170 interactions against 259K followers, an engagement rate of 0.064%. Measured over 21 original posts, its engagement rate beats 51% 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 18K times each, and 0.922% of those impressions turn into an interaction. That is about 7.13% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.6 posts a day over the last 30 days, with activity on roughly 70% of days. Most posts go out around 11:00 UTC, and Tuesday is the busiest day of the week. Of the 21 posts sampled, 57% carry an image or video, 10% are part of a thread and 29% link out. The account's strongest tracked post pulled 764 interactions, about 4.5x its own typical post.

What is Zama's engagement rate on X?
Zama (@zama) has an engagement rate of 0.064%, based on the median interactions across 21 original posts from the last 30 days against 258,679 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.064%, Zama sits above the 25th percentile of the 204,694 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 @zama have real engagement?
Its engagement rate beats 51% 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 @zama post?
Most posts go out around 11:00 UTC, and Tuesday is its busiest day, at roughly 3.6 posts per day across the measured window.

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