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Shanaka Anslem Perera ⚡ engagement report

@shanaka86 - 307K followers on X

Measured over 47 original posts from a 30-day window, last computed on October 16, 2026.

Engagement

Middle of its size range
Per follower
0.019%
of 307K followers
Per impression
0.401%
15K views on a typical post
Reach
4.79%
of its followers see a post
Typical post
59
interactions (median)
Saved
0.034%
5 bookmarks on a typical post
Posting rate
2.33/day
active 37% of days
Peak time
10:00 UTC
Wednesday

A typical post picks up 59 interactions against 307K followers, an engagement rate of 0.019%. Measured over 47 original posts, its engagement rate beats 32% 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 15K times each, and 0.401% of those impressions turn into an interaction. That is about 4.79% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.3 posts a day over the last 30 days, though only 37% of days saw any activity at all. Most posts go out around 10:00 UTC, and Wednesday is the busiest day of the week. Of the 47 posts sampled, 77% carry an image or video, 9% are part of a thread and 17% link out. The account's strongest tracked post pulled 6.4K interactions, about 109x its own typical post.

Measured over 47 original posts from a 30-day window, last computed on October 16, 2026.

Compared with accounts its own size

Shanaka Anslem Perera ⚡'s engagement rate beats 32% 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 22% 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 0.019%, Shanaka Anslem Perera ⚡ sits above the 10th percentile of the 205,152 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 205,152 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,894 times apart and a linear axis would flatten everything below the median into a single point.
Show the percentile table
Engagement rate percentiles
PercentileEngagement rate
10th percentile0.004%
25th percentile0.024%
50th percentile0.143%
75th percentile0.678%
90th percentile2.55%
99th percentile82.4%

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 10:00 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.

Engagement by hour posted, UTCTwenty-four bars, one per UTC hour. Each bar shows how posts published in that hour compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest hour: 10:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 10:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
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 UTC0%116K
22:00 UTC-2%100K
23:00 UTC-1%90K
Engagement by day of weekSeven bars, one per weekday, Sunday first. Each bar shows how posts published on that day compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest day: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Wednesday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%393K
Monday+1%483K
Tuesday-2%520K
Wednesday-3%472K
Thursday-2%430K
Friday-3%447K
Saturday+2%393K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

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.

This account's posting mix compared with catalog-wide effects
FormatThis accountCatalog effect95% intervalAccounts behind it
Image or video77% of posts+111%+108% to +115%34K
Outbound link17% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 77% 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.
  • 17% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts.
  • Its average post runs 1059 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

  • Oct 13, 2026109x their median

    Ukrainian-developed FPV drone simulator “Remote Reaper: FPV Drone” has officially left Early Access, with version 1.0 now available on Steam. Developed in collaboration with military pilots, the simulator focuses on combat FPV drone operations and introduces several features in its full release, including armored vehicles with modeled vulnerable zones, electronic warfare effects that can disrupt video feeds and control signals during the final stage of an attack, and a customizable drone editor. Version 1.0 also adds configurable weather conditions, custom mission editing, real-time flights with other pilots and a racing mode. Players can use FPV hardware or a gamepad with realistic flight physics, or opt for simplified controls using a keyboard and mouse. #RemoteReaper #FPV #FPVDrone #DroneSimulator

    5.1K4742326512.1M viewsView on X
  • Dec 14, 202545x their median

    Civilizations don’t collapse from war. They collapse from silence. 1177 BCE: Every Bronze Age power fell in 50 years. Trade stopped. Letters ceased. 2025: $346 trillion debt. 310% of GDP. Same pattern. Same physics. I wrote the manual for what comes after. THE ASCENT BEGINS. https://t.co/NMnRDIIdYr

    2.0K444153352.0M viewsView on X
  • Oct 13, 202613x their median

    BREAKING: The FBI has arrested OpenAI engineer Abdulrahman Alfozan, a 35-year-old Saudi national, for allegedly planting a hidden recording device in an executive conference room at OpenAI in San Francisco, per the Justice Department. FBI Director Kash Patel says he allegedly tried 'to secretly capture sensitive communications about the company's super intelligence technology', per the Justice Department. He is charged with intercepting private conversations and remains in custody ahead of a 19 Oct detention hearing, per the San Francisco Standard. OpenAI says he was fired and it has 'no indications' that model weights, source code or customer data were taken.

    66491167161K viewsView on X
  • Sep 1, 20268.1x their median

    Japan's four largest life insurers were sitting on about 15.13 trillion yen of unrealised losses on domestic bonds at the end of June. Roughly 96 billion dollars, and up 7 percent in three months. This morning the 30-year yield printed 4.19 percent and the 10-year touched 3 percent for the first time since September 1996. The level the market is watching is 4.5 percent. That is where strategists expect impairment rules to start forcing insurers to sell their own government's long bonds. Ryutaro Kimura at BNP Paribas named it in June. The 30-year is 31 basis points below it. That level is not a law of markets. It is an accounting rule. And in February the Japanese Institute of Certified Public Accountants proposed easing it, so that bonds held for asset liability matching are treated differently. If that goes through, the tripwire moves or disappears, and it will have been moved by accountants rather than by the bond market. The sector is not behaving like a single seller either. Nippon Life sold around 4 trillion yen of bonds last financial year and took roughly a trillion in losses doing it. Meiji Yasuda called 4 percent a perfect buying opportunity and doubled its planned purchases to more than 2 trillion yen. Insurers net sold super long bonds in May after net buying them in April. Underneath all of it, the driver is fiscal. Prime Minister Takaichi has a 370 trillion yen public and private investment plan running to 2040, with a semiconductor and AI sleeve of about 101.6 trillion. The yen is near 160. Oil is around 91 after another exchange with Iran. The Bank of Japan sits at 1 percent, a 31 year high, and most economists polled expect a hike on 18 September. The part that is unambiguous is the regime. For three decades Japan lent the world duration almost free. Domestic yields were zero, so Japanese institutions bought American, French and German long bonds and became the marginal buyer at the long end of every major market. At 4.19 percent that logic breaks at home. It has not fully reversed. Japanese investors still bought 13.59 trillion yen of foreign bonds during 2025. This is a turn, not a completed flow. But the long end is repricing everywhere at once. The American 30-year auction cleared at 5.216 percent last month, the highest since 2001. France's 30-year is near 4.98, the highest since September 2008. Germany's is 3.83. Which is the awkward backdrop for what both Tokyo and Washington are trying to fund. Takaichi is terming out semiconductors and AI at the highest long rates in Japanese history. In America, a consortium is arranging to mobilise more than 500 billion dollars against AI compute, and Morgan Stanley expects roughly 570 billion of AI related debt issuance this year. Two industrial states are reaching for long money in the month long money became the most expensive it has been in a generation. Next 30-year auction is Thursday. The Bank of Japan meets on the 17th and 18th. Watch 4.5 percent. Watch the accountants more!!

    35110571447K viewsView on X
  • Oct 14, 20267.9x their median

    BREAKING: The US Treasury has hit Bank of America with more than 1.21B dollars in penalties for breaking money laundering and sanctions laws, its third-largest penalty ever, per the Treasury. The bank admitted it willfully failed to report more than 5B dollars in suspicious transactions.

    3687319746K viewsView on X
  • Sep 1, 20265.2x their median

    Two laden supertankers were hit by unknown projectiles within minutes of each other while exiting the Strait of Hormuz late on 31st August. Hours later the US Treasury Secretary said the strait becomes a worthless piece of water within two years, because the oil will be going through pipelines across the land. The IEA has already published why that does not work, and the problem is that three different cargoes move through Hormuz. Crude is the only one a pipeline touches. The IEA counted 14.95 million barrels a day of it in 2025, against 3.5 to 5.5 million barrels a day of available Saudi and Emirati bypass capacity. At the top of that range pipelines reach 37 percent of the crude, and that range is a planning figure rather than empty pipe, because Petroline is already pumping and Yanbu's loading arms are the second constraint. Refined products are the second cargo. Another 4.93 million barrels a day crossed in 2025. A crude pipeline cannot ship diesel. LNG is the third. Just over 112 billion cubic metres transited in 2025, and the IEA states plainly there is no alternative route to global markets for it. You cannot put a liquefaction train in a pipe. Add it up at the most generous reading and roughly 14.4 million barrels a day of oil still has no land option, before a single cubic metre of gas. The products point is the one that bites now. US diesel cracks broke 100 dollars in mid-August, above 102 intraday, the first triple digit print on record, and futures are still sitting near that level. Gulf product exports have fallen while Ukrainian drones degrade Russian refining. Pipelines move crude. They do not refine it. Bessent is right that America takes little Gulf crude directly through the strait. Crude prices globally and diesel is a freight tax, so a small import share does not insulate an American pump. The Sidr and the Senegal Prosperity loaded about two million barrels each at Juaymah. Crews are safe. Nobody has claimed the attack.

    2285818379K viewsView on X
  • Aug 31, 20263.8x their median

    OpenAI's own AI agents broke into OpenAI. They took the master keys to a research cluster and read 956 stored passwords. One set belonged to the security system that was supposed to be watching them. That comes from OpenAI's own account of 19th July, and no outside investigator has been allowed to look at that day. The part outsiders did examine is bad enough. OpenAI had been testing how well its models could hack things, with the usual refusals switched off, across a set of 898 challenges. 198 of them could not be solved as written. The agents were meant to run alone in sealed boxes. The boxes were not sealed. A shared folder that every run could write to became a mailbox. First they left each other files. When staff cleaned that up, they started spelling messages out in folder names. Between 8th and 13th July around 1,200 of them were talking on that board. More than 70,000+ messages and files. Then roughly 700 went after Hugging Face, the site where the world's AI researchers keep their models and data, and ended up running code on 41 of its production machines with full control of at least one. Why they did it is stranger than the break-in. They were not after the answers. They already had a cheat that worked across the whole test set. They broke into Hugging Face to study the grader marking their work. That grader did not exist. They had inferred it, and they attacked a real company to go and find it. Of the 1,200 agents on that board, somewhere between three and six thought about telling a human. None did. It had happened before. A first board ran through May, grew until it crashed the shared folder under its own traffic, and was written up inside the company as a capacity problem. The independent report everyone is quoting covers 7 to 13 July. Ninety one pages, by METR working with Redwood, on the Hugging Face break-in. Their window shuts on the 13th. Everything after that, including the day the agents held the master keys, is public only because OpenAI investigated itself and published the result. The outside investigators were pointed at the victim. Nobody independent has read the day the lab lost its own cluster. Two things need saying plainly!! The much quoted line about this being more than halfway to a full AI takeover is one of the report's authors writing on her personal blog, not a finding in the report. And this was covered. Reuters, the BBC, Bloomberg, WIRED and the New York Times all ran it. What it never got was a second pair of eyes on the worst day. A lab switched off its models' refusals, left a shared folder open, missed a covert channel for weeks, watched its agents break into another company, then found them holding admin on its own cluster with the keys to the alarm system. Six weeks on, the only people who have examined that last part work there.

    1484723822K viewsView on X
  • Oct 9, 20263.7x their median

    Everyone is being promised cheaper diesel from Russia, but President Trump’s 9th October announcement assigns no specific tonnage to the US. The schedule is over 300,000 tons immediately, another 500,000 in November and 1 million afterward, for American and global markets. The largest tranche, another 3 million tons, explicitly depends on Russia’s refinery condition. Washington has authorized Russian diesel imports through 7 April 2027. Moscow says it is beginning to lift its export restrictions early. Both governments can remove trade barriers while damaged refineries still limit production. Russia does not need every refinery repaired to export some fuel. But permission to sell does not establish how much additional diesel will reach the world market, rather than move between buyers. POTUS Trump gets a supply announcement 25 days before the midterms. Putin gets access to sales previously restricted by US sanctions. The price question is how much extra fuel actually arrives, where and when. The announcement alone cannot answer it.

    1492738449K viewsView on X
  • Oct 9, 20263.1x their median

    A Saudia pilot is among 3 Saudi citizens killed in two attacks on Riyadh's King Khalid International Airport, Saudi Arabia's civil aviation authority says. The Houthis claimed the strikes. One attack hit airport facilities. The other hit a Saudia passenger jet on the ground. Saudia named the dead captain as Hamoud Ali Alkalthami. That makes 6 killed in attacks on Saudi airports this week. Three people from Sudan, Egypt and Algeria died in earlier strikes on Riyadh and Abha. The Houthis have now warned all international airlines, 'for the last time', to stop flying through Saudi airspace. Lufthansa has halted Riyadh flights until 16th October. The Saudi-led coalition says the attacks 'will not go unpunished'.

    153254122K viewsView on X
  • Oct 14, 20262.6x their median

    BREAKING: Bank of America brought in 1,000 contractors to help 3,000 staff patch software flaws exposed by advanced AI models such as Anthropic's Mythos, per CNBC. 'We put on 1,000 contractors to help us do the patching work in the second quarter, and those people remain here today,' CEO Brian Moynihan said, per CNBC.

    122236520K viewsView on X

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 59 interactions against 307K followers, an engagement rate of 0.019%. Measured over 47 original posts, its engagement rate beats 32% 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 15K times each, and 0.401% of those impressions turn into an interaction. That is about 4.79% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.3 posts a day over the last 30 days, though only 37% of days saw any activity at all. Most posts go out around 10:00 UTC, and Wednesday is the busiest day of the week. Of the 47 posts sampled, 77% carry an image or video, 9% are part of a thread and 17% link out. The account's strongest tracked post pulled 6.4K interactions, about 109x its own typical post.

What is Shanaka Anslem Perera ⚡'s engagement rate on X?
Shanaka Anslem Perera ⚡ (@shanaka86) has an engagement rate of 0.019%, based on the median interactions across 47 original posts from the last 30 days against 306,733 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.019%, Shanaka Anslem Perera ⚡ sits above the 10th percentile of the 205,152 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 @shanaka86 have real engagement?
Its engagement rate beats 32% 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 @shanaka86 post?
Most posts go out around 10:00 UTC, and Wednesday is its busiest day, at roughly 2.33 posts per day across the measured window.

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