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
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%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.677% |
| 90th percentile | 2.55% |
| 99th percentile | 82.4% |
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.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 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 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
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.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 57% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 29% 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. 𤦠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.
- Sep 18, 20262.7x their median
zec = bitcoin with privacy zama = ethereum with privacy
- Aug 10, 20262.7x their median
https://t.co/4BIjV2MKo6
- 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!
- Aug 24, 20261.9x their median
Tell your friends Zama is building for blockchains what HTTPS was for the internet.
- Sep 15, 20261.8x their median
https://t.co/qhDo80z4lQ
- 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.
- Sep 19, 20261.6x their median
Are you going to @kbwofficial and @token2049? Come meet the Zama team: š°š· Sep 30, @ProofOfLiq, Seoul šøš¬ Oct 6, @Yield_Summit, Singapore šøš¬ Oct 7-8, @token2049, Singapore šøš¬ Oct 7, Confidential Dinner by @zama, Singapore šøš¬ Oct 9, @Vault__Summit, Singapore https://t.co/NrHZCra5oy
- 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
- 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
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
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.