Hackmanac engagement report
@H4ckmanac - 136K followers on X
Measured over 31 original posts from a 30-day window, last computed on October 1, 2026.
Engagement
A typical post picks up 24 interactions against 136K followers, an engagement rate of 0.018%. Measured over 31 original posts, its engagement rate beats 27% of 19,933 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 9.7K times each, and 0.247% of those impressions turn into an interaction. That is about 7.14% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.9 posts a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 06:00 UTC, and Thursday is the busiest day of the week. Of the 31 posts sampled, 90% carry an image or video, 42% are part of a thread and 97% link out. The account's strongest tracked post pulled 1.5K interactions, about 62x its own typical post. Recurring topics include #hacktuesday, #iamnotavillain, #mondaypoll.
Measured over 31 original posts from a 30-day window, last computed on October 1, 2026. Recurring tags: #hacktuesday, #iamnotavillain, #mondaypoll.
Compared with accounts its own size
Hackmanac's engagement rate beats 27% of the tracked X accounts closest to it in follower count (19,933 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 13% 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 0.018%, Hackmanac sits above the 10th percentile of the 201,225 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 | 0.141% |
| 75th percentile | 0.671% |
| 90th percentile | 2.53% |
| 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 06:00 UTC, and Thursday 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 | 90% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 97% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 90% 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.
- 97% 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 666 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 29, 202662x their median
๐ง #HackTuesday ๐ง Hack Tuesday: Week 23 - 29 Sep 2026 โ ๏ธ458 cyber attacks across 74 countries โ ๏ธ โก๏ธThe most active threat actor last week was NoName057(16) claiming responsibility for 25 cyberattacks. โก๏ธThe USA is the most affected country, accounting for 19% of incidents, with 87 cyber attacks. โก๏ธThe Gov / Mil / LE sector is the most targeted, accounting for 19.7% of incidents with 90 cyber attacks. โก๏ธThe estimated Critical cyber attacks account to 66 (14.4% of the total). โก๏ธOverall, the claimed compromised data amounts to approximately 22.3 TB. More details: https://t.co/E124sZzEXA
- Oct 1, 202636x their median
๐ฏ๐ต CYBER BULLETIN | Sharp rise in cyberattacks targeting Japan We are recording a substantial surge in cybercrime attacks targeting Japan, currently up 45.24% compared with the previous reporting period, with that percentage continuing to climb. We are monitoring developments and tracking newly reported incidents. Full details and impact assessment on https://t.co/yiQ1nOin8J
- Sep 29, 202622x their median
๐จCyber Alert โผ๏ธ ๐ฏ๐ตJapan - ๐ฌ๐ฎ๐บ๐ฎ๐๐ผ ๐ง๐ฟ๐ฎ๐ป๐๐ฝ๐ผ๐ฟ๐ Yamato Transport confirmed unauthorised third-party access to its Kuroneko Deferred Payment Service. The company restricted external access and suspended the affected payment service while investigating the cause and scope of the intrusion. Threat actor: Not specified Sector: Transportation Data exposure (claimed): Not specified Data type: Not specified Observed: Sep 28, 2026 Status: Confirmed ESIXยฉ: 5.02 Full details and impact assessment on https://t.co/eB7qgxKFAa
- Sep 26, 202621x their median
๐จCyber Alert โผ๏ธ ๐ช๐ธSpain - ๐๐ฑ๐ถ๐ณ ๐ฎ๐ป๐ฑ ๐ฅ๐ฒ๐ป๐ณ๐ฒ Hackers carried out a multi-day cyberattack against Spanish railway operators Adif and Renfe, allegedly stealing around 500 GB of data. According to El Mundo, the attackers reportedly used AI to identify vulnerabilities in Adifโs website, then gained access to its cloud environment and subsequently to Renfeโs website. Most of the alleged data theft occurred on September 24, 2026. The stolen data may include traveler information, though this remains unconfirmed. Renfe said that only limited, non-sensitive data was accessed and that payment and DNI information were not compromised. Authorities are also investigating whether human error contributed to the breach. Threat actor: Not specified Sector: Transportation Data exposure (claimed): 500 GB Data type: Traveller information (unconfirmed) Observed: Sep 25, 2026 Status: Confirmed ESIXยฉ: 5.60 Full details and impact assessment on https://t.co/eB7qgxKFAa
- Sep 28, 202615x their median
๐จCyber Alert โผ๏ธ ๐ช๐ธSpain - ๐๐๐ป๐๐ฎ ๐ฑ๐ฒ ๐๐ป๐ฑ๐ฎ๐น๐๐ฐรญ๐ฎ Meduza Locker hacking group claims to have breached Junta de Andalucรญa. According to the threat actor, the compromised data includes client, confidential, financial, HR, legal, marketing and technical data. Threat actor: Meduza Locker Sector: Gov / Mil / LE Data exposure (claimed): Not specified Data type: Client, confidential, financial, HR, legal, marketing and technical data, and reports Observed: Sep 28, 2026 Status: Pending verification ESIXยฉ: 5.58 Full details and impact assessment on https://t.co/eB7qgxKFAa
- Sep 4, 202611x their median
๐ ๐๐ฎ๐ซ ๐๐ก๐ซ๐๐๐ญ ๐๐ฆ๐ฉ๐๐๐ญ ๐๐ข๐ฆ๐ฎ๐ฅ๐๐ญ๐จ๐ซ (๐๐๐) ๐ข๐ฌ ๐ฅ๐ข๐ฏ๐! ๐ฃ This is the most powerful feature HackRisk has ever built, and the ๐จ๐ง๐ฅ๐ฒ ๐จ๐ง๐ ๐จ๐ ๐ข๐ญ๐ฌ ๐ค๐ข๐ง๐ ๐ข๐ง ๐ญ๐ก๐ ๐ฐ๐จ๐ซ๐ฅ๐. While most tools only tell you what's happening, HackRisk tells you what it means for your bottom line. ๐๐ฎ๐๐ง๐ญ๐ข๐๐ฒ ๐ญ๐ก๐ ๐ญ๐ซ๐ฎ๐ ๐๐จ๐ฌ๐ญ ๐จ๐ ๐๐ฒ๐๐๐ซ ๐ซ๐ข๐ฌ๐ค with auditable, scenario-based impact modelling based on our database of 60,000+ real incidents, and get: ๐ฏ Your most probable threat scenario ๐ฅ Your most damaging threat scenario ๐ธ Your estimated loss range in case of breach Leveraging our ESIXยฉ (Estimated Severity Index) framework and Threat Impact Simulator engine, we now enable CISOs, risk managers, and insurers to model SLE, quantify business disruption, and simulate both typical and extreme loss scenarios, supporting compliance requirements (DORA, NIS2, SEC cyber disclosure rules among others). Know exactly what your worst cyber scenario is, and what a breach would cost you. ๐๐จ ๐๐ซ๐๐๐ข๐ญ๐ฌ, ๐ง๐จ ๐ฉ๐๐ซ-๐ช๐ฎ๐๐ซ๐ฒ ๐๐๐๐ฌ, ๐ง๐จ ๐ก๐ข๐๐๐๐ง ๐๐จ๐ฌ๐ญ๐ฌ. ๐๐ง๐ ๐๐ฅ๐๐ญ ๐ฉ๐ซ๐ข๐๐. ๐๐ข๐ญ๐ก ๐๐ง ๐๐ฑ๐ญ๐ซ๐ ๐๐% ๐จ๐๐ (๐ ๐ฆ๐จ๐ง๐ญ๐ก๐ฌ ๐๐ซ๐๐) ๐ฐ๐ข๐ญ๐ก ๐๐ง๐ง๐ฎ๐๐ฅ ๐ฉ๐ฅ๐๐ง๐ฌ. Stop guessing. Start quantifying. Explore TIS now โก๏ธ https://t.co/wiu0eBfvQ0
- Sep 30, 202611x their median
๐จCyber Alert โผ๏ธ ๐ฏ๐ตJapan - ๐๐ผ๐๐ฒ๐น ๐๐ฟ๐ฎ๐ป๐ฑ ๐๐ถ๐น๐น ๐๐ฐ๐ต๐ถ๐ด๐ฎ๐๐ฎ Hotel Grand Hill Ichigaya in Japan warned guests of possible data exposure following unauthorized access to its third-party reservation-management provider, Temairazu, on September 21, 2026. A security issue in a previously supplied installed version may have allowed attackers to access guest reservation information. Some guests subsequently received WhatsApp phishing messages requesting reservation confirmation, credit card details or urgent payments. Potentially affected reservations were booked on or before September 21 for stays beginning on or after that date. Threat actor: Not specified Sector: Hospitality Data exposure (claimed): Not specified Data type: Guest reservation information Observed: Sep 21, 2026 Status: Pending verification ESIXยฉ: 4.87 Full details and impact assessment on https://t.co/eB7qgxKFAa
- Sep 28, 202611x their median
๐จCyber Alert โผ๏ธ ๐ฏ๐ตJapan - ๐ง๐ถ๐บ๐ฒ๐ ๐ ๐ผ๐ฏ๐ถ๐น๐ถ๐๐ / ๐ง๐ถ๐บ๐ฒ๐ ๐๐๐ฅ / ๐ง๐ถ๐บ๐ฒ๐ ๐๐๐๐ถ๐ป๐ฒ๐๐ ๐ฆ๐ฒ๐ฟ๐๐ถ๐ฐ๐ฒ Times Mobility, operator of Japanโs Times CAR car-sharing service, confirmed that an unauthorized third party obtained data linked to approximately 6.6 million accounts after breaching its web system. The incident was detected on September 25, 2026, and the intrusion route was blocked by the following morning. Compromised data may include names, contact details, dates of birth, driverโs license and identity documents, corporate-member information, hashed passwords, and linked-service IDs. Affected individuals include current and former members, as well as some applicants who did not complete registration. Threat actor: Not specified Sector: Transportation Data exposure (claimed): 6.6 million accounts Data type: Names, contact details, dates of birth, driver's licence and identity documents, corporate-member information, hashed passwords and linked-service IDs Observed: Sep 25, 2026 Status: Confirmed ESIXยฉ: 6.75 Full details and impact assessment on https://t.co/eB7qgxKFAa
- Sep 24, 20269.8x their median
๐จCyber Alertโผ๏ธ ๐ช๐ธSpain - Real Federaciรณn Espaรฑola de Fรบtbol The Royal Spanish Football Federation (RFEF) disclosed that its online ticketing platform suffered a temporary outage after its systems were hit by a high volume of malicious external traffic, consistent with a DDoS disruption. The incident forced the RFEF to temporarily suspend ticket sales while security and business-continuity procedures were activated with its technology providers. Full details and impact assessment on https://t.co/eB7qgxLdpI
- Sep 27, 20269.5x their median
๐จCyber Alert โผ๏ธ ๐ฏ๐ตJapan - ๐๐ฒ๐ถ๐ผ ๐๐ผ๐ฟ๐ฝ๐ผ๐ฟ๐ฎ๐๐ถ๐ผ๐ป (๐๐ฒ๐ถ๐ผ ๐๐น๐ฒ๐ฐ๐๐ฟ๐ถ๐ฐ ๐ฅ๐ฎ๐ถ๐น๐๐ฎ๐) Keio Corporation (Keio Electric Railway) disclosed that it detected a ransomware attack against servers belonging to the Keio Group in the early hours of September 26, 2026, causing system disruptions. The attack affected business systems at some group companies, while railway operations remained unaffected. Keio is investigating the attack vector and whether confidential corporate information or customer data may have been exfiltrated. Threat actor: Not specified Sector: Transportation / Storage Data exposure (claimed): Not specified Data type: Not specified Observed: Sep 26, 2026 Status: Confirmed ESIXยฉ: 5.60 Full details and impact assessment on https://t.co/eB7qgxKFAa
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 24 interactions against 136K followers, an engagement rate of 0.018%. Measured over 31 original posts, its engagement rate beats 27% of 19,933 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 9.7K times each, and 0.247% of those impressions turn into an interaction. That is about 7.14% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.9 posts a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 06:00 UTC, and Thursday is the busiest day of the week. Of the 31 posts sampled, 90% carry an image or video, 42% are part of a thread and 97% link out. The account's strongest tracked post pulled 1.5K interactions, about 62x its own typical post. Recurring topics include #hacktuesday, #iamnotavillain, #mondaypoll.
- What is Hackmanac's engagement rate on X?
- Hackmanac (@H4ckmanac) has an engagement rate of 0.018%, based on the median interactions across 31 original posts from the last 30 days against 135,749 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.018%, Hackmanac sits above the 10th percentile of the 201,225 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 @H4ckmanac have real engagement?
- Its engagement rate beats 27% of the tracked X accounts closest to it in follower count (19,933 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 @H4ckmanac post?
- Most posts go out around 06:00 UTC, and Thursday is its busiest day, at roughly 1.93 posts per day across the measured window.