Rekt News engagement report
@RektHQ - 651K followers on X
Measured over 7 original posts from a 30-day window, last computed on August 26, 2026.
Engagement
Early reading. We have captured 7 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 61 interactions against 651K followers, an engagement rate of 0.01%. Posts are seen about 21K times each, and 0.285% of those impressions turn into an interaction. That is about 3.28% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.77 post a day over the last 30 days, with activity on roughly 57% of days. Most posts go out around 16:00 UTC, and Tuesday is the busiest day of the week. Of the 7 posts sampled, 57% carry an image or video and 71% link out. The account's strongest tracked post pulled 880 interactions, about 14x its own typical post. Only 7 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 7 original posts from a 30-day window, last computed on August 26, 2026.
Where this sits in the catalog
At 0.01%, Rekt News sits above the 10th percentile of the 36,378 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 | 0.08% |
| 75th percentile | 0.432% |
| 90th percentile | 2.10% |
| 99th percentile | 161.0% |
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 16:00 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% | 50K |
| 01:00 UTC | -2% | 51K |
| 02:00 UTC | -3% | 50K |
| 03:00 UTC | -4% | 53K |
| 04:00 UTC | -6% | 43K |
| 05:00 UTC | -4% | 42K |
| 06:00 UTC | -4% | 48K |
| 07:00 UTC | -5% | 52K |
| 08:00 UTC | -4% | 60K |
| 09:00 UTC | -3% | 69K |
| 10:00 UTC | -2% | 72K |
| 11:00 UTC | -3% | 78K |
| 12:00 UTC | -2% | 86K |
| 13:00 UTC | -2% | 94K |
| 14:00 UTC | -4% | 97K |
| 15:00 UTC | -2% | 100K |
| 16:00 UTC | -3% | 97K |
| 17:00 UTC | -2% | 90K |
| 18:00 UTC | -1% | 84K |
| 19:00 UTC | -2% | 79K |
| 20:00 UTC | -1% | 74K |
| 21:00 UTC | -1% | 66K |
| 22:00 UTC | -2% | 57K |
| 23:00 UTC | -2% | 51K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +4% | 230K |
| Monday | 0% | 286K |
| Tuesday | -2% | 276K |
| Wednesday | -1% | 251K |
| Thursday | -1% | 244K |
| Friday | -3% | 252K |
| Saturday | +3% | 227K |
Best tweets
- Jun 10, 202614x their median
Openness = opportunity. Open, public networks provide the basic infrastructure needed to build privacy solutions that actually work. @DenelleDixon in "Can Privacy and Transparency Coexist?", a documentary from @DefiantNews and @RektHQ. https://t.co/a9giWmD7Pk
- Aug 17, 20263.2x their median
Four years ago, Nomad's bridge was drained for $190M in two and a half hours. The exploit was one line. Copy the working transaction from Etherscan, swap in your own address, submit. No skills required. Hundreds did. Copycats took $88M of the total. TVL went from $190.38M to $5,336. Rekt's 17th leaderboard entry: https://t.co/dc0Qyrhlx2
- Aug 4, 2026
In October last year, @thekmj_ and I won an audit contest for a prediction market on @sherlockdefi. The vulnerability that earned us the largest bounty was caused by a mismatch in the option trading fee calculation. Some background: Prediction markets like Polymarket are essentially binary options. This means that each market has a price for the call (yes) and put (no) options, a fixed payout (either 0 or 1), and an expiry time. These properties mean that users have two ways to exit a position: they can either sell their current contract or buy the opposite side. Mathematically, these are equivalent because, when selling, the user receives money from the open market, while buying the opposite side guarantees that one of the two contracts will always pay out. If the exchange wants to charge a trading fee, it cannot simply charge a percentage of the collateral being transacted. Why? Because whenever buying the opposite side requires less collateral than selling the existing position, users will always choose to buy instead of sell, effectively bypassing most of the trading fee. Consider the following simplified example: * There are two contracts: YES and NO. * The exchange charges a trading fee of 1%. * YES trades at $0.90 and NO trades at $0.10. * The user wants to exit a position of 100 YES contracts. If the user sells the 100 YES contracts on the open market, they receive $90 and pay a $0.90 trading fee. However, they could instead buy 100 NO contracts for $10, paying only a $0.10 trading fee. Since the market is binary, holding both YES and NO guarantees a payout of $100 at settlement, making this economically equivalent to selling the original position while paying a much lower fee. This asymmetry is why Polymarket implements a formula that calculates trading fees based on both the option prices and the collateral, ensuring that economically equivalent actions incur the same fee. I think these types of business logic vulnerabilities are among the hardest for AI to find. This is especially true when the underlying product is novel or based on mechanics that are not yet widely understood. If you are interested in learning more or discussing cyber sec/markets, reach out via DM.
- Aug 16, 2026
https://t.co/Tsgj4KACfk
- Aug 10, 2026
Q2 update for the 383 people funding Rekt on @Giveth. Two post mortems a week. Nine exploit breakdowns across June and July. $99M in documented losses, every one traced to root cause. Here's what happened. https://t.co/EyuixsTBSh
- Aug 6, 2026
Five years ago today, the biggest crypto hack ever. $611M gone from @PolyNetwork2 in one afternoon. Then the strangest twist in DeFi history: he gave it all back. Five years later, bridges are still the attack surface. VerusCoin and AFX Trade lost $31M to bridge exploits last month alone. https://t.co/pOtmP2E7FI
- Aug 25, 2026
France’s tax authority confirmed data was extracted on 678,000 people and professionals. An insider allegedly used similar access to target crypto investors. Now a purported DGFiP dataset has been listed for sale for thousands of euros. https://t.co/cBrBe6oUh6 https://t.co/yuUJnYoRy2
- Aug 4, 2026
Beach reading is overrated. We made a summer crossword instead. 96 answers from DeFi's greatest disasters. Solve it, screenshot it, tag us. https://t.co/Z5SkrtsnaA https://t.co/hoqefAS9s9
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 61 interactions against 651K followers, an engagement rate of 0.01%. Posts are seen about 21K times each, and 0.285% of those impressions turn into an interaction. That is about 3.28% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.77 post a day over the last 30 days, with activity on roughly 57% of days. Most posts go out around 16:00 UTC, and Tuesday is the busiest day of the week. Of the 7 posts sampled, 57% carry an image or video and 71% link out. The account's strongest tracked post pulled 880 interactions, about 14x its own typical post. Only 7 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 Rekt News's engagement rate on X?
- Rekt News (@RektHQ) has an engagement rate of 0.01%, based on the median interactions across 7 original posts from the last 30 days against 650,995 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.01%, Rekt News sits above the 10th percentile of the 36,378 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 @RektHQ have real engagement?
- There is not yet enough sample to rank this account against others of its size.
- When does @RektHQ post?
- Most posts go out around 16:00 UTC, and Tuesday is its busiest day, at roughly 0.77 posts per day across the measured window.