DGroup Capital engagement report
@DGroup_Official - 209K followers on X
Measured over 35 original posts from a 30-day window, last computed on October 6, 2026.
Engagement
A typical post picks up 275 interactions against 209K followers, an engagement rate of 0.132%. Measured over 35 original posts, its engagement rate beats 64% 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 16K times each, and 1.70% of those impressions turn into an interaction. That is about 7.76% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.9 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 02:00 UTC, and Tuesday is the busiest day of the week. Of the 35 posts sampled, 97% carry an image or video, 11% are part of a thread and 74% link out. The account's strongest tracked post pulled 17K interactions, about 63x its own typical post. Recurring topics include #bitgetturns8, #event, #kcgi2026.
Measured over 35 original posts from a 30-day window, last computed on October 6, 2026. Recurring tags: #bitgetturns8, #event, #kcgi2026.
Compared with accounts its own size
DGroup Capital's engagement rate beats 64% 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 58% 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 0.132%, DGroup Capital sits above the 25th percentile of the 204,583 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 02:00 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 | 97% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 74% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 97% 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.
- 74% 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 1018 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
- Sep 26, 202663x their median
After Google Quantum AI claimed in March 2026 that it had found a much more efficient quantum circuit for breaking Bitcoin and Ethereum signatures, the community on Eigen Labs' Open Autoresearch project, https://t.co/MQGV1RjqTN, has now built circuits that use 62% fewer resources than Google's unpublished result. This is no longer a distant possibility. It is a threat moving into view. The crypto ecosystem needs to pay much closer attention to this issue. https://t.co/U6Wd9JNkDk
- Sep 7, 202660x their median
https://t.co/4cPxLdgJPE
- Jun 2, 202630x their median
Today a crazy quantum story just got wilder. On March 31, the Google Quantum AI team published a landmark result on Shor's algorithm for elliptic curve cryptography. Technically, the paper was a bombshell: a dramatic 10x improvement over the state-of-the-art. As a stunt and wakeup call to the blockchain space, those optimisations were illustrated on secp256k1, the elliptic curve underlying Bitcoin and Ethereum signatures. But perhaps the most striking part of the paper was sociological, not technical. Instead of following standard academic process, the optimisations were kept secret, hidden behind a zero-knowledge (ZK) proof. Google's accompanying blog post mentions they "engaged with the U.S. government". The ZK proof demonstrates the existence of algorithmic improvements without leaking details. Academic censorship with ZK, a historic first! As a co-author of the Google paper I witnessed some of the context surrounding this censorship. To be honest, multiple aspects of that context don't sit well with me. As much as I believe the general public ought to know more, I am limited in my ability to whistleblow. Though let me be clear about one thing: the Google team's professionalism has been absolutely exemplary, and they deserve nothing but praise. Censorship has a way of backfiring. The Streisand effect, where an attempt to bury something only draws more attention to it, is exactly what's unfolding today. First, Google's key optimisation has been rediscovered by the French. And in a thrilling turn of events, a collaborative Shor-at-home challenge just launched. The initiative, available at ecdsa[.]fail, breached a new Shor world record in a matter of hours. Let's start with the rediscovery. Just two months after Google's paper, French quantum expert AndrƩ Schrottenloher cracks the main secret optimisation. His paper, titled "Optimized Point Addition Circuits for Elliptic Curve Discrete Logarithms", landed on the arXiv today. Big congrats to AndrƩ, who beat several other nerdsnipped experts to it. In a blog post also published today, Craig Gidney, the world expert on Shor optimisations, revealed that he'd been sitting on this very optimisation for a whole year under censorship pressure. Interestingly, AndrƩ missed a handful of minor optimisations, both from Google's original publication and from improvements found since. It's plausible there's still plenty of juice left to squeeze out of Shor, and this is exactly what the ecdsa[.]fail challenge is about. The verifier program developed for the ZK proof does double duty, automatically filtering for valid submissions. Dozens of compounding small and micro improvements are rolling in. As of the time of writing there's an 8.4% improvement to Google's circuit, as measured by the product of logical qubit count and Toffoli gate count. Nice! The nerdsnipping ran deeper than anyone expected. Over the last few weeks it became clear it extended well beyond AndrƩ and other quantum experts. Behind the scenes, a small army of amateurs quietly got to work. Inspired by Karpathy-style autoresearch, they turned AI on Shor. Ironically, the verifier program for the ZK proof makes an ideal reward function for AIs. The barrier to entry for this modern style of research is refreshingly low, with several non-experts, even a teenager, finding nice optimisations. Get in touch if you'd like to join a Telegram group with fellow autoresearchers :) Part 2: neutral atoms and qday The story doesn't end with Google. On the same day Google went public, a stealthy startup called Oratomic published its own Shor paper in a coordinated release. It made a splash, ultimately becoming the most upvoted paper on scirate[.]com, a website ranking arXiv papers. Oratomic's claim was wild. By building on Google's logical optimisations and applying custom physical optimisations for neutral atoms, they claimed just 10K physical qubits were sufficient to run Shor's algorithm on secp256k1. That number is mind-bogglingly low. Knowing essentially nothing about neutral atoms when Oratomic's paper landed, I was intrigued and decided to learn more about the tech. I fell straight down the rabbit hole and spent a couple hundred hours on the topic. I got a little obsessed and watched every YouTube video I could find and spoke to a bunch of experts. My conclusion? The tech is real, very real. Even Google recently decided to start a neutral atom lab, a notable pivot from their sole focus on superconducting qubits. If you care about qday, i.e. the day a quantum computer will break the first piece of cryptography in production, neutral atoms demand your attention. I shared some of my learnings on Shor and neutral atoms in a 30min talk at the ZKProof cryptography conference. You can find it on YouTube by searching "zkproof neutral atom". Here's an interesting observation about this duo of breakthrough papers: neither Google nor Oratomic say a word about what their results mean for qday. No timelines. Zero. Nada. That is especially baffling given that the whole point of whitehat quantum cryptanalysis is to inform qday estimations and help the general public make good decisions. So let me attempt to partially fill the silence, similarly to what Scott Aaronson did in his April 29 post. Given everything I know, including scary non-public information, I now put the odds of qday by 2032 at 50%. 10% by 2030. Anecdotally, the US government has its own date: 2035. Originating at the NSA and later adopted by NIST, it's when branches of the US government will be disallowed from using quantum-vulnerable cryptography. In plain language: with hindsight, that date is a joke and should be discounted entirely. I don't see how NIST avoids being forced to pull it forward by years. Part 3: post-quantum cryptography There are good reasons to sound the alarm today, but please do not panic. Rushing carelessly towards immature post-quantum cryptography is a recipe for disaster. IMO a good target date for migration is 2029, roughly 3.5 years out. 2029 happens to be the date selected by Google, Cloudflare, and the Ethereum Foundation. These days most of my time goes to safely migrating Ethereum towards post-quantum cryptography as part of the broader lean Ethereum effort. There's a lot to do. We need to rip out and replace BLS signatures at the consensus layer, KZG commitments at the data layer, and ECDSA signatures at the execution layer. The plan to get there is compelling, and is based on hash-based cryptography. Within the Ethereum Foundation we've developed a Swiss army knife called leanVM (github[.]com/leanEthereum/leanVM) powered by the magic of hash-based SNARKs. Thanks to truly exceptional work by Emile, Thomas, and others, its performance is derisked. Regarding security, leanVM is a jewel, a minimal zkVM crafted for end-to-end formal verification and maximum security. Want to help? There are two $1M initiatives. First, the Proximity Prize (proximityprize[.]org). Solve a long-standing mathematical conjecture in coding theory, improve hash-based SNARKs, and go home a millionaire. Second, the Poseidon Initiative (poseidon-initiative[.]info), offers $1M for breaking Poseidon, the SNARK-friendly hash function.
- Sep 27, 20263.4x their median
Thinking of moving your portfolio to another exchange? The first question isnāt where to click ātransfer.ā Itās whether the assets you hold are actually supported there. Iāve been looking at MEXCās Asset Support Checker for that first step. Upload a screenshot of your assets from another platform or enter the token names manually and it generates a report showing which ones MEXC supports across Spot, Futures and Earn. No MEXC login or account connection is needed for the check. Itās a simple way to map out your options before making a move. The report is for checking support; it wonāt transfer anything for you. Try the checker: https://t.co/7e5SNdLYos New to MEXC? Sign up here: https://t.co/dtjxd3bEae Iāll put a walkthrough video in the comments so you can see how the check works š For information only, not financial advice. DYOR and verify the asset, network and transfer details before moving funds. @MEXC #MEXC #Crypto #TradingMadeEasy
- Sep 26, 20262.7x their median
Good traders donāt need to read every headline. They need to spot what matters, understand how the market has reacted, and know what would invalidate their thesis. Thatās the part of trading I wanted to put MEXC AI to the test on: can it help me cut through the noise without skipping the work of thinking for myself? After trying it, three features stood out: 1ā£ AI Radar highlights news and market moves worth a closer look. 2ā£ AI Assistant helps me explore the context behind a price move. 3ā£ AI Strategy turns an idea into a draft plan I can review before acting. What I like is the flow: spot a signal, understand whatās behind it, then pressure-test the idea. AI helps with the research; the trading decision stays with me. Ready to explore MEXC AI and start trading? š https://t.co/Sdl2Exj8uw š https://t.co/6w3Pdtebrj Iāve put my experience video in the comments so you can see the tools in action š This is a review of a trading tool, not financial advice. Always DYOR and assess the risks before making a trade. @MEXC #TradingTakesTwo #MEXCAI
- Sep 26, 20262.5x their median
Not done yet. ā” The $10M Volume Pool stays open for one more month, with $10K in USDC + subscription package value still up for grabs. Keep the volume moving ā https://t.co/f27NCgnWZp
- Oct 6, 20261.8x their median
we all know how memes work in every cycle, first new network is hyped then btc native narratives start i mean (in this cycle too biggest strength behind rise of zcash was that those projects were built by teams on ordinals network) remember; ordinals, inscriptions, runesā¦ none of them came while everyone was euphoric. came while btc was quietly turning into stronger market n people started looking for next story this is why i'm sharing @1096361BTC . satoshi's 1,096,361 btc is one of oldest pieces of bitcoin lore, n instead of just printing ticker on top of number they turned mystery n ai / quantum risk angle into live participation loop; crack, daily missions, progressing w/ community like i always say you either gotta have crazy courage to trust narrative like me n go all in, or act smart enough to make basket. bcs of this worth taking a look for your basket. nfa
- Sep 27, 20261.8x their median
Your XP. Your rank. Your move. The Eldora XP Leaderboard is now live. Stack XP. Climb higher. See where you stand. Check your rank š https://t.co/dylSk8Bas8
- Sep 6, 2026
What is DGroup? DGroup is a global Web3 community and growth network connecting 300K+ traders, investors, creators, and builders across multiple platforms. Built from strong roots in Vietnam, we are now expanding globally connecting Web3 projects with real users and helping our community discover meaningful opportunities across the crypto ecosystem. At DGroup, we focus on: š¹ KOL and influencer marketing š¹ User acquisition and regional growth š¹ Community building and management š¹ Content production and media distribution š¹ Market insights, alpha, and Web3 education Through years of working with projects, exchanges, and ecosystem partners across different markets, DGroup has grown beyond a media channel into a trusted bridge connecting ambitious Web3 teams with global communities. Whether youāre building, investing, creating, or exploring what comes next-welcome to DGroup: global vision, real connections, one Web3 network. š DGroup Services & Pitch Deck: https://t.co/pwTmS0c2y4 š Explore our ecosystem: https://t.co/vrD0zJwGwU #DGroup #Web3 #CryptoCommunity #CryptoMarketing
- Oct 1, 2026
Taking profits in crypto and being able to spend them are often two separate steps. For many traders, using those funds means selling USDT into fiat and withdrawing to a bank first. I recently came across MEXC Global Card, which offers another route: fund a virtual Visa card with USDT and use it for eligible purchases without arranging that separate bank cash-out. With online payments and Apple Pay or Google Pay support, it connects your USDT balance to everyday spending at eligible Visa merchants worldwide. Conversion happens when you pay; merchants receive fiat. Benefits include: ā¢ 0% additional FX markup from @MEXC . ā¢ Up to 10% cashback on eligible purchases, subject to tiers and caps. ā¢ Up to 7% APR through eligible MEXC Earn products, separate from your card balance. Explore eligibility, fees and how to apply: https://t.co/xzvoOFKJL0 DYOR. Fees and reward conditions apply. Not financial advice. #MEXC #MEXCGlobalCard #Visa
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 275 interactions against 209K followers, an engagement rate of 0.132%. Measured over 35 original posts, its engagement rate beats 64% 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 16K times each, and 1.70% of those impressions turn into an interaction. That is about 7.76% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.9 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 02:00 UTC, and Tuesday is the busiest day of the week. Of the 35 posts sampled, 97% carry an image or video, 11% are part of a thread and 74% link out. The account's strongest tracked post pulled 17K interactions, about 63x its own typical post. Recurring topics include #bitgetturns8, #event, #kcgi2026.
- What is DGroup Capital's engagement rate on X?
- DGroup Capital (@DGroup_Official) has an engagement rate of 0.132%, based on the median interactions across 35 original posts from the last 30 days against 208,806 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.132%, DGroup Capital sits above the 25th percentile of the 204,583 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 @DGroup_Official have real engagement?
- Its engagement rate beats 64% 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 @DGroup_Official post?
- Most posts go out around 02:00 UTC, and Tuesday is its busiest day, at roughly 2.87 posts per day across the measured window.