Polyhedra engagement report
@PolyhedraZK - 850K followers on X
Measured over 1 original post from a 30-day window, last computed on September 8, 2026.
Engagement
Early reading. We have captured 1 original post for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.
A typical post picks up 67 interactions against 850K followers, an engagement rate of 0.008%. Posts are seen about 13K times each, and 0.536% of those impressions turn into an interaction. That is about 1.47% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.1 posts a day over the last 30 days, though only 3% of days saw any activity at all. Most posts go out around 22:00 UTC, and Wednesday is the busiest day of the week. Of the 1 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 708 interactions, about 11x its own typical post. Only 1 original post have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.
Measured over 1 original post from a 30-day window, last computed on September 8, 2026.
Where this sits in the catalog
At 0.008%, Polyhedra sits above the 10th percentile of the 212,567 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.025%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.025% |
| 50th percentile | 0.146% |
| 75th percentile | 0.696% |
| 90th percentile | 2.61% |
| 99th percentile | 82.7% |
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 22:00 UTC, and Wednesday 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 | 0% 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.
- 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 258 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
- Jan 2, 202611x their median
2025 was a year we had to fight for. From zkML progress on major models, advancing ExpChain toward mainnet, and launching Ocash mainnet alpha, redefining how privacy, compliance, and AI payments can coexist. We never stopped building. 2026 will be bigger. Read full blog here. https://t.co/Vzx6QOq5LY
- Aug 12, 2026
1/ An account is supposed to represent one person. But in practice, that’s no longer always true. Across platforms, a single identity is often used by multiple people — sometimes intentionally, sometimes not. Here’s what’s happening 👇 https://t.co/1ujCOxOdar
- May 21, 2026
𝗛𝗮𝘀𝗵 𝗜𝘁 𝗢𝘂𝘁 — 𝗚𝗼𝗼𝗱 𝗔𝗴𝗲𝗻𝘁𝘀 𝗗𝗼𝗻’𝘁 𝗛𝗮𝗹𝗹𝘂𝗰𝗶𝗻𝗮𝘁𝗲 How long will we keep dealing with hallucinations? TC’s take: With good agents, the problem is already becoming manageable. → Careful prompting matters → Every claim can be fact-checked → References can be enforced → Agents can verify their own outputs The future of AI reliability won’t come from bigger models alone. It’ll come from better systems around them. 👇 Taken from Hash It Out with @Tiancheng_Xie & @Tony0kai https://t.co/jUMwYUGqud
- Apr 17, 2026
Google disclosed a quantum vulnerability using a zero-knowledge proof. The technology they used to responsibly warn the world about the collapse of classical cryptography — is the same class of proof system our team has spent a decade building. Our co-founder and CTO @Tiancheng_Xie sat down with @Tony0kai on the first episode of Hash It Out to unpack what this means - for AI, for post-quantum security, and for the role zero-knowledge infrastructure plays in both. They covered: → Google's breakthrough and why they disclosed it via ZK → AI collapsing the economics of cybersecurity - $1.4B drained from crypto in the past year → Why verifiable computation matters more as AI models become more capable → The real timeline for post-quantum migration Zero-knowledge proofs were designed to prove truth without revealing secrets.
- Apr 30, 2026
𝗛𝗮𝘀𝗵 𝗜𝘁 𝗢𝘂𝘁 — 𝗔𝘁𝘁𝗮𝗰𝗸 𝗮𝗻𝗱 𝗗𝗲𝗳𝗲𝗻𝘀𝗲 𝗔𝗿𝗲 𝘁𝗵𝗲 𝗦𝗮𝗺𝗲 𝗚𝗮𝗺𝗲 AI is making cyberattacks faster. But here’s what most people miss: → Attack and defense run the same process → Both are about finding bugs → The only difference is: exploit vs fix TC’s take: Once a bug is found, fixing it is easy. Finding it is the hard part. That’s why defense can keep up. 👇 Taken from Hash It Out with @Tiancheng_Xie & @Tony0kai https://t.co/ivtopaFB8h
- Apr 28, 2026
AI can now execute full-scale cyberattacks. But that’s not the real problem. The real problem is: you no longer know what to trust. Our co-founder and CTO @Tiancheng_Xie sat down with @Tony0kai on the latest episode of Hash It Out to break down what’s actually changing — across AI security, multi-agent systems, and post-quantum infrastructure. They covered: → Why Claude Mythos completing a 32-step network attack changes the economics of cybersecurity → How AI makes attacks cheaper — but also makes defense scale the same way → Why closed-source advantages in cyber models may only last 6–12 months → The real risk in multi-agent systems: prompt injection, fake data, and loss of control → Why zero-knowledge proofs don’t stop attacks — but make systems verifiable → How post-quantum security is becoming a race to define the next internet standard As AI systems become more autonomous, the challenge isn’t just preventing attacks: It’s proving that what you’re running — your model, your data, your agents — is actually what you think it is. That’s the layer most systems still don’t have, and exactly what we’re building. 🎥 Watch the full episode: https://t.co/gjwyDlR7UB
- May 27, 2026
1/ Passwords are disappearing. Across major platforms, authentication is shifting toward devices — passkeys, biometrics, and hardware-backed credentials. Your phone or laptop is becoming your identity. But that shift comes with a new assumption. Here’s what’s happening 👇 https://t.co/TqMrL8Kb4N
- May 15, 2026
𝗠𝗼𝘀𝘁 𝗽𝗲𝗼𝗽𝗹𝗲 𝗮𝘀𝘀𝘂𝗺𝗲 𝘁𝗵𝗲 𝗯𝗲𝘀𝘁 𝗔𝗜 𝗺𝗼𝗱𝗲𝗹 𝗴𝗶𝘃𝗲𝘀 𝘁𝗵𝗲 𝗯𝗲𝘀𝘁 𝗮𝗻𝘀𝘄𝗲𝗿𝘀. Not necessarily. TC explains why: → Models are still months behind real-world events → They don’t automatically know today’s news → Without the right workflow, hallucinations happen A powerful model is only part of the system. 👇 Taken from Hash It Out with @Tiancheng_Xie & @Tony0kAI https://t.co/jUMwYUGqud
- Apr 29, 2026
1/ Healthcare is no longer confined to hospitals and clinics. Telemedicine platforms now allow doctors and patients to connect through video calls, online consultations, and digital health services. Medical care is increasingly happening through screens. Here’s what’s changing 👇 https://t.co/qsEK8zcyt8
- Apr 22, 2026
1/ Online marketplaces have made it possible for anyone to become a seller. In minutes, a new storefront can appear, listing products and accepting payments from customers around the world. But as e-commerce scales, a critical question is becoming harder to answer: Who is actually behind the seller account? Here’s what’s happening 👇
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 67 interactions against 850K followers, an engagement rate of 0.008%. Posts are seen about 13K times each, and 0.536% of those impressions turn into an interaction. That is about 1.47% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.1 posts a day over the last 30 days, though only 3% of days saw any activity at all. Most posts go out around 22:00 UTC, and Wednesday is the busiest day of the week. Of the 1 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 708 interactions, about 11x its own typical post. Only 1 original post have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.
- What is Polyhedra's engagement rate on X?
- Polyhedra (@PolyhedraZK) has an engagement rate of 0.008%, based on the median interactions across 1 original posts from the last 30 days against 849,548 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.008%, Polyhedra sits above the 10th percentile of the 212,567 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 @PolyhedraZK have real engagement?
- There is not yet enough sample to rank this account against others of its size.
- When does @PolyhedraZK post?
- Most posts go out around 22:00 UTC, and Wednesday is its busiest day, at roughly 0.1 posts per day across the measured window.