Polyhedra engagement report
@PolyhedraZK - 867K followers on X
Measured over 2 original posts from a 30-day window, last computed on August 29, 2026.
Engagement
Early reading. We have captured 2 original posts 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 38 interactions against 867K followers, an engagement rate of 0.004%. Posts are seen about 11K times each, and 0.329% of those impressions turn into an interaction. That is about 1.31% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.2 posts a day over the last 30 days, though only 7% of days saw any activity at all. Most posts go out around 19:00 UTC, and Wednesday is the busiest day of the week. Of the 2 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 675 interactions, about 18x its own typical post. Only 2 original posts 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 2 original posts from a 30-day window, last computed on August 29, 2026.
Where this sits in the catalog
At 0.004%, Polyhedra sits above the 10th percentile of the 37,701 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.012%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.012% |
| 50th percentile | 0.081% |
| 75th percentile | 0.439% |
| 90th percentile | 2.10% |
| 99th percentile | 156.3% |
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 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% | 53K |
| 01:00 UTC | -2% | 53K |
| 02:00 UTC | -3% | 52K |
| 03:00 UTC | -4% | 55K |
| 04:00 UTC | -6% | 44K |
| 05:00 UTC | -4% | 43K |
| 06:00 UTC | -4% | 50K |
| 07:00 UTC | -5% | 54K |
| 08:00 UTC | -4% | 63K |
| 09:00 UTC | -3% | 72K |
| 10:00 UTC | -2% | 75K |
| 11:00 UTC | -3% | 81K |
| 12:00 UTC | -2% | 90K |
| 13:00 UTC | -2% | 98K |
| 14:00 UTC | -3% | 101K |
| 15:00 UTC | -2% | 105K |
| 16:00 UTC | -4% | 102K |
| 17:00 UTC | -3% | 95K |
| 18:00 UTC | -1% | 88K |
| 19:00 UTC | -2% | 83K |
| 20:00 UTC | -1% | 77K |
| 21:00 UTC | -1% | 69K |
| 22:00 UTC | -2% | 60K |
| 23:00 UTC | -2% | 53K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 238K |
| Monday | 0% | 302K |
| Tuesday | -3% | 302K |
| Wednesday | -1% | 257K |
| Thursday | -2% | 250K |
| Friday | -3% | 259K |
| Saturday | +3% | 233K |
Best tweets
- Jan 2, 202618x 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
- May 21, 20261.8x their median
๐๐ฎ๐๐ต ๐๐ ๐ข๐๐ โ ๐๐ผ๐ผ๐ฑ ๐๐ด๐ฒ๐ป๐๐ ๐๐ผ๐ปโ๐ ๐๐ฎ๐น๐น๐๐ฐ๐ถ๐ป๐ฎ๐๐ฒ How long will we keep dealing with hallucinations? TCโs take: With good agents, the problem is already becoming manageable. โ Careful prompting matters โ Every claim can be fact-checked โ References can be enforced โ Agents can verify their own outputs The future of AI reliability wonโt come from bigger models alone. Itโll come from better systems around them. ๐ Taken from Hash It Out with @Tiancheng_Xie & @Tony0kai https://t.co/jUMwYUGqud
- Apr 17, 20261.6x their median
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 โ 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: โ Google's breakthrough and why they disclosed it via ZK โ AI collapsing the economics of cybersecurity - $1.4B drained from crypto in the past year โ Why verifiable computation matters more as AI models become more capable โ The real timeline for post-quantum migration Zero-knowledge proofs were designed to prove truth without revealing secrets.
- Apr 30, 20261.6x their median
๐๐ฎ๐๐ต ๐๐ ๐ข๐๐ โ ๐๐๐๐ฎ๐ฐ๐ธ ๐ฎ๐ป๐ฑ ๐๐ฒ๐ณ๐ฒ๐ป๐๐ฒ ๐๐ฟ๐ฒ ๐๐ต๐ฒ ๐ฆ๐ฎ๐บ๐ฒ ๐๐ฎ๐บ๐ฒ AI is making cyberattacks faster. But hereโs what most people miss: โ Attack and defense run the same process โ Both are about finding bugs โ The only difference is: exploit vs fix TCโs take: Once a bug is found, fixing it is easy. Finding it is the hard part. Thatโs why defense can keep up. ๐ Taken from Hash It Out with @Tiancheng_Xie & @Tony0kai https://t.co/ivtopaFB8h
- Apr 28, 2026
AI can now execute full-scale cyberattacks. But thatโs 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 whatโs actually changing โ across AI security, multi-agent systems, and post-quantum infrastructure. They covered: โ Why Claude Mythos completing a 32-step network attack changes the economics of cybersecurity โ How AI makes attacks cheaper โ but also makes defense scale the same way โ Why closed-source advantages in cyber models may only last 6โ12 months โ The real risk in multi-agent systems: prompt injection, fake data, and loss of control โ Why zero-knowledge proofs donโt stop attacks โ but make systems verifiable โ How post-quantum security is becoming a race to define the next internet standard As AI systems become more autonomous, the challenge isnโt just preventing attacks: Itโs proving that what youโre running โ your model, your data, your agents โ is actually what you think it is. Thatโs the layer most systems still donโt have, and exactly what weโre building. ๐ฅ Watch the full episode: https://t.co/gjwyDlR7UB
- Aug 12, 2026
1/ An account is supposed to represent one person. But in practice, thatโs no longer always true. Across platforms, a single identity is often used by multiple people โ sometimes intentionally, sometimes not. Hereโs whatโs happening ๐ https://t.co/1ujCOxOdar
- May 27, 2026
1/ Passwords are disappearing. Across major platforms, authentication is shifting toward devices โ passkeys, biometrics, and hardware-backed credentials. Your phone or laptop is becoming your identity. But that shift comes with a new assumption. Hereโs whatโs happening ๐ https://t.co/TqMrL8Kb4N
- May 15, 2026
๐ ๐ผ๐๐ ๐ฝ๐ฒ๐ผ๐ฝ๐น๐ฒ ๐ฎ๐๐๐๐บ๐ฒ ๐๐ต๐ฒ ๐ฏ๐ฒ๐๐ ๐๐ ๐บ๐ผ๐ฑ๐ฒ๐น ๐ด๐ถ๐๐ฒ๐ ๐๐ต๐ฒ ๐ฏ๐ฒ๐๐ ๐ฎ๐ป๐๐๐ฒ๐ฟ๐. Not necessarily. TC explains why: โ Models are still months behind real-world events โ They donโt automatically know todayโs news โ Without the right workflow, hallucinations happen A powerful model is only part of the system. ๐ 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. Hereโs whatโs changing ๐ 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? Hereโs whatโs happening ๐
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 38 interactions against 867K followers, an engagement rate of 0.004%. Posts are seen about 11K times each, and 0.329% of those impressions turn into an interaction. That is about 1.31% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.2 posts a day over the last 30 days, though only 7% of days saw any activity at all. Most posts go out around 19:00 UTC, and Wednesday is the busiest day of the week. Of the 2 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 675 interactions, about 18x its own typical post. Only 2 original posts 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 0.004%, based on the median interactions across 2 original posts from the last 30 days against 867,144 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.004%, Polyhedra sits above the 10th percentile of the 37,701 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 19:00 UTC, and Wednesday is its busiest day, at roughly 0.2 posts per day across the measured window.