Quantova engagement report
@Quantovafnd - 277K followers on X
Measured over 8 original posts from a 30-day window, last computed on September 7, 2026.
Engagement
A typical post picks up 28 interactions against 277K followers, an engagement rate of 0.01%. Measured over 8 original posts, its engagement rate beats 26% of 6,874 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 14K times each, and 0.199% of those impressions turn into an interaction. That is about 5.07% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.67 post a day over the last 30 days, though only 37% of days saw any activity at all. Most posts go out around 06:00 UTC, and Monday is the busiest day of the week. Of the 8 posts sampled, 100% carry an image or video, 25% are part of a thread and 13% link out. The account's strongest tracked post pulled 1.7K interactions, about 60x its own typical post.
Measured over 8 original posts from a 30-day window, last computed on September 7, 2026.
Compared with accounts its own size
Quantova's engagement rate beats 26% of the tracked X accounts closest to it in follower count (6,874 accounts, accounts of similar size (decile 7 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 13% 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 0.01%, Quantova sits above the 10th percentile of the 66,393 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.016%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.016% |
| 50th percentile | 0.1% |
| 75th percentile | 0.499% |
| 90th percentile | 2.09% |
| 99th percentile | 119.5% |
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 06:00 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.
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 | 100% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 13% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | no effect | -2% to -1% | 42K |
- 100% 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.
- 13% 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 251 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.
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 28, 202660x their median
BREAKING: Anthropic's Claude Mythos just found a way to break post quantum encryption. Claude Mythos, Anthropic's most advanced AI model, cracked two different encryption systems. The first is a newer type of encryption designed to stay secure even against future quantum computers. Claude found a flaw that cuts its security in half, meaning it's now twice as easy to break as experts thought. The second is the encryption standard used to protect most everyday internet traffic, things like your email, banking, and browsing. When researchers first asked Claude to attack the second system, it refused, saying the task was basically impossible and that nothing new could be found. Researchers pushed back and told it to keep trying. Over the next three days, working almost entirely on its own, Claude generated hundreds of millions of words of analysis and eventually discovered the winning method on its own. Both of these were done on test versions built specifically to study weaknesses, not the real systems actually protecting your data today. So nothing you use right now is at risk. Each of these discoveries cost Anthropic roughly $100,000 in computing costs to produce.
- Jul 24, 202619x their median
I'm happy to see the unclonable encryption problem solved; Prabhanjan Ananth and Amit Sahai report their findings, with the help of the UCLA harness (link below). This was a challenge for the quantum crypto community for the last 6 years.
- Jul 4, 20268.5x their median
Quantum security is starting to move from theory into actual infrastructure planning across crypto. Over the past few months, several major players have stepped up their post-quantum plans, as governments, tech companies and blockchain ecosystems prepare for a future where today's cryptography may no longer be enough. The shift is not about panic. It is more about timing. A few highlights: * Algorand has outlined a roadmap to make its network broadly quantum-resistant * Ethereum has been expanding its post-quantum research and future-proofing work * Google is targeting a 2029 timeline for parts of its post-quantum migration * NIST has already finalized key post-quantum encryption standards * Governments are beginning to treat quantum-safe migration as a national security priority The main point is that moving a live blockchain to quantum-resistant cryptography is not something that can happen overnight. Wallets, validators, signatures, smart contracts and core protocol infrastructure may all need changes over time. That is why more networks are starting the discussion before quantum computers become an immediate threat. For crypto, the next security cycle may be less about reacting to hacks after they happen and more about building systems that can survive the next generation of computing.
- Aug 10, 20268.1x their median
A major result in post-quantum cryptography. A key security assumption behind Classic McEliece, a public-key encryption system considered to resist quantum computers, has been undermined. Researchers found a provable quasipolynomial-time method for detecting the hidden mathematical structure in its public keys. The attack is still astronomically expensive and cannot yet decrypt messages, but this is a serious weakening of one of the oldest post-quantum cryptosystems. McEliece is not broken practically today, but an important assumption underlying its theoretical security has been broken. For the Classic McEliece parameter sets, the estimated cost of the best known structural distinguisher drops from roughly 2^298-2^691 operations to about 2^114-2^124. That is huge. https://t.co/b5RMDiaCcM
- Jul 20, 20266.9x their median
Interesting work on low-space quantum elliptic curve point addition: https://t.co/AddkJ0Mx3Z I knew ~800 qubits for n=256 was doable, but I expected like 100x more Toffolis than they achieved. And that's despite them wasting a lot of Toffolis by using non-approximate circuits!
- Jul 9, 20264.0x their median
Why we cannot wait for better post-quantum signature algorithms: ML-DSA will have to do. But searching for better is still important! https://t.co/hHG81Fxk89
- Aug 6, 20261.7x their median
1/ Making a blockchain post quantum is not one change. It is at least five, and missing any one leaves a hole. Quantova made all five 🧵 https://t.co/2r3qYy2IHo
- Jul 8, 20261.6x their median
There are two ways to make a blockchain post-quantum. Only one of them protects you today 🧵
- Aug 7, 20261.5x their median
Cryptography evolves. So must the chain that runs it Quantova upgrades its runtime forklessly through on-chain referenda, so as NIST advances, new schemes adopt without splitting the network. Crypto-agility, decided on-chain https://t.co/ejQZQM3zAE
- Jun 26, 2026
QMask is LIVE! Post-quantum wallet for Quantova. Browser extension for Chrome, Brave, Edge, Opera, Firefox. Mobile app for iOS and Android. Choose your signing scheme: Falcon, Dilithium, or SPHINCS+. Your keys are created on your device and stay there 68 assets. 36 chains. No classical signing anywhere in the stack. https://t.co/833UJoykyA
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 28 interactions against 277K followers, an engagement rate of 0.01%. Measured over 8 original posts, its engagement rate beats 26% of 6,874 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 14K times each, and 0.199% of those impressions turn into an interaction. That is about 5.07% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.67 post a day over the last 30 days, though only 37% of days saw any activity at all. Most posts go out around 06:00 UTC, and Monday is the busiest day of the week. Of the 8 posts sampled, 100% carry an image or video, 25% are part of a thread and 13% link out. The account's strongest tracked post pulled 1.7K interactions, about 60x its own typical post.
- What is Quantova's engagement rate on X?
- Quantova (@Quantovafnd) has an engagement rate of 0.01%, based on the median interactions across 8 original posts from the last 30 days against 277,272 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.01%, Quantova sits above the 10th percentile of the 66,393 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 @Quantovafnd have real engagement?
- Its engagement rate beats 26% of the tracked X accounts closest to it in follower count (6,874 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 @Quantovafnd post?
- Most posts go out around 06:00 UTC, and Monday is its busiest day, at roughly 0.67 posts per day across the measured window.