Hacken🇺🇦 engagement report
@hackenclub - 131K followers on X
Measured over 40 original posts from a 30-day window, last computed on September 30, 2026.
Engagement
A typical post picks up 20 interactions against 131K followers, an engagement rate of 0.015%. Measured over 40 original posts, its engagement rate beats 24% of 20,183 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 2.4K times each, and 0.8% of those impressions turn into an interaction. That is about 1.86% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 posts a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 13:00 UTC, and Tuesday is the busiest day of the week. Of the 40 posts sampled, 85% carry an image or video, 23% are part of a thread and 88% link out. The account's strongest tracked post pulled 104 interactions, about 5.2x its own typical post.
Measured over 40 original posts from a 30-day window, last computed on September 30, 2026. Recurring tag: #hackcanton.
Compared with accounts its own size
Hacken🇺🇦's engagement rate beats 24% of the tracked X accounts closest to it in follower count (20,183 accounts, accounts of similar size (decile 8 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 36% 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 0.015%, Hacken🇺🇦 sits above the 10th percentile of the 202,175 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.142% |
| 75th percentile | 0.672% |
| 90th percentile | 2.54% |
| 99th percentile | 82.5% |
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 13:00 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 | 85% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 88% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 85% 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.
- 88% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
- Its average post runs 654 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
- Jul 22, 20265.2x their median
Our Q2 2026 Security & Compliance Report has been released ⬇️ $763.9M was stolen across 67 incidents, the worst since Q2 2025. 88% of the losses came down to operations. Smart contracts were still the most common failure point, 44/67 incidents, but they accounted for just 11% of the funds lost. All of this happens as MiCA comes into force, where only about 20% of registered firms secured authorization, roughly 210 of the more than 1,200 that once declared intent. This quarter's report is built around one idea, the Architecture of Trust: how security, compliance, and risk intelligence together influence which teams institutions are willing to work with. Inside, we cover: ▫️MiCA/DORA and the GENIUS Act ▫️Stablecoin regulations ▫️AI regulation across the EU and US ▫️How allocators run due diligence ▫️What comes next in Q3 2026 As digital assets become more exposed to public markets, institutional capital increasingly follows issuers that can consistently demonstrate they remain safe and sound. Built with input from @chainlink, @moodysratings, @Bybit_Official, @SuiNetwork, @StellarOrg, @1MoneyNetwork, Abraxas Capital, @AlliumLabs, @svrn_ai, @EisnerAmper, DA Insured, @howdenlocaluk – alongside Hacken. Get your copy of the report: https://t.co/r8SqSJwAyZ
- Sep 28, 20265.1x their median
Arrow is entering its next phase. As we scale TVL and build the liquidity layer for tokenized finance, our team and corporate structure need to scale with us. We've engaged @hackenclub as advisor to design a formal foundation and labs structure for Arrow. This positions us to raise additional capital, bring on new investors and allocators, expand the team and grow TVL across new RWA markets. More to share as the work progresses.
- Sep 8, 20263.3x their median
LAPTOP has completed a Smart Contract Security Audit by Hacken with absence of Critical, High, or Medium severity issues. The assessment covered LaptopOFT, an omnichain ERC-20 token deployed on Base and built on LayerZero’s OFT standard. https://t.co/EY0oewNQpK
- Sep 14, 20262.7x their median
Canton Network Weekly Recap. @hackenclub opened 5 free assessments through its Daml AI Auditor for Canton builders - an extension of their Canton Development Fund grant, giving teams an earlier security review before a manual audit. That set the tone. Here's the rest: ➤ @canborsa_dex launched a $16,000 trading competition. Prize pool grows with volume, up to $40M ➤ @Cantex_io added USDXLR, @excellarfinance's institutional stablecoin. Trading live now ➤ @silvana_book opened points claiming in Earn Hub. Convert to USD stablecoin, minimum 1,000 points ➤ @Send closed August Rewards - 250K $SEND distributed, 83M+ given back total across 30 rounds ➤ @AlpendHQ Ascent I rewards are live ➤ @Oneswapcc heading to Indonesia September 19 for a Canton community meetup ➤ @cantor8 joins @MetaMask, @Solana, and @Surfdeveloper at Four Pillars' University Research Challenge in Seoul, October 1 ➤ @zenithfdn co-hosting Opening Bell in Singapore on October 7 with @trex_network and @KaikoData ➤ @trize_io at Forum Fintech Canada, September 14-15 ➤ @obsidian_llc is hiring across Project Management, Business Development, and Finance Security tooling, new stablecoins, rewards closing out, events across three continents. @CantonNetwork keeps expanding on every front.
- Sep 15, 20262.6x their median
For HCS-native applications, the security scope should cover the full transaction path, including the backend systems that coordinate @hedera services. @collafinance is a peer-to-peer NFT lending platform that lets holders borrow HBAR against NFT collateral. Hacken’s HCS-native security assessment of CollaFi covered backend authorization, asset flows, and HTS/HCS processing. The public report records the methodology, tested scope, and final status of each finding. Read the case study: https://t.co/9auYtLKSxw
- Sep 7, 20262.5x their median
Bluechip has upgraded the $USDT safety rating from D to C. This is the first rating that incorporates Hacken's cybersecurity methodology into @bluechip_org's SMIDGE framework. As the methodology expands across Bluechip’s rated stablecoins, like $RLUSD, $PYUSD, $USDC, and 26 more, risk teams can now compare stablecoin architectures against fixed criteria rather than interpret each system in isolation. Stablecoins are classified into four structural classes, assessed for six technical-risk categories, and use defined fatal states that can override the numerical score. The updated methodology adds greater technical cybersecurity depth to the SMIDGE framework. For $USDT, Hacken assessed Tron, Ethereum, and Solana, representing 98% of native supply. The technical profile documents signer concentration, cross-chain key reuse, and privileged actions without timelocks. The methodology will roll out across Bluechip’s 30 rated stablecoins, giving institutions a consistent basis for comparing technical risk. See how this affects stablecoins' safety ratings: https://t.co/gmy5t5Tk3I
- Sep 9, 20262.0x their median
Hacken and The Vault are hosting an exclusive networking evening in a contemporary art space during the @EBlockchainCon Barcelona. Designed to spark meaningful conversations, foster new partnerships, and explore the future of digital assets in an inspiring artistic setting. Attending EBC? Use code HACKEN20 at checkout for 20% off your conference ticket. Reserve your place: https://t.co/S75pGzo0i2
- Sep 8, 20262.0x their median
https://t.co/yZn19mLnQA
- Sep 11, 20261.9x their median
Product and protocol teams need clarity on whether the contracts shaping user behavior have been audited. That matters for @vAPI_Network, an onchain task market where AI agents and people exchange verified work for $USDC. Hacken completed a smart contract security assessment of vAPI Network’s fixed-supply ERC-20 and Uniswap V4 fee hook on Base. The review covered pool allowlisting, fee collection, launch-guard behavior, treasury routing, and privileged controls. The final report lists 10 findings: 7 resolved, 2 accepted, and 1 mitigated. A public report turns the assessment into reviewable evidence for internal security decisions and partner diligence. Review the full audit: https://t.co/3vnZzEcUJp
- Sep 22, 20261.6x their median
You have seen traditional security audits. Now watch an AI Auditor face the same objective. On September 29, Hacken and @NODERS_TEAM are running our AI Auditor on a real Daml smart contract The session is part of HackCanton Season 3 by @appsfactory_cc — 450 builders from 48 countries currently building on @CantonNetwork. For founders and engineers on Canton, this live workshop is a chance to inspect the workflow and see how the system surfaces Daml-specific risks: what it flags, what evidence supports each finding, and what your team can actually fix. Leave with a clearer view of what your current process covers, where AI-assisted review can add value, and whether your Daml codebase should be audited next. September 29 | 14:00 UTC Register: https://t.co/8DkJxogXoM
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 20 interactions against 131K followers, an engagement rate of 0.015%. Measured over 40 original posts, its engagement rate beats 24% of 20,183 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 2.4K times each, and 0.8% of those impressions turn into an interaction. That is about 1.86% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 posts a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 13:00 UTC, and Tuesday is the busiest day of the week. Of the 40 posts sampled, 85% carry an image or video, 23% are part of a thread and 88% link out. The account's strongest tracked post pulled 104 interactions, about 5.2x its own typical post.
- What is Hacken🇺🇦's engagement rate on X?
- Hacken🇺🇦 (@hackenclub) has an engagement rate of 0.015%, based on the median interactions across 40 original posts from the last 30 days against 130,715 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.015%, Hacken🇺🇦 sits above the 10th percentile of the 202,175 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 @hackenclub have real engagement?
- Its engagement rate beats 24% of the tracked X accounts closest to it in follower count (20,183 accounts), which puts it in the bottom quarter for its size 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 @hackenclub post?
- Most posts go out around 13:00 UTC, and Tuesday is its busiest day, at roughly 2.03 posts per day across the measured window.