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Interesting Engineering engagement report

@IntEngineering - 317K followers on X

Measured over 33 original posts from a 30-day window, last computed on September 4, 2026.

Engagement

Bottom 10% for its size
Per follower
0.002%
of 317K followers
Per impression
0.158%
3.2K views on a typical post
Reach
1.00%
of its followers see a post
Typical post
5
interactions (median)
Saved
0.032%
1 bookmarks on a typical post
Posting rate
1.33/day
active 7% of days
Peak time
00:00 UTC
Friday

A typical post picks up 5 interactions against 317K followers, an engagement rate of 0.002%. Measured over 33 original posts, its engagement rate beats 9% of 6,874 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 3.2K times each, and 0.158% of those impressions turn into an interaction. That is about 1% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.3 post a day over the last 30 days, though only 7% of days saw any activity at all. Most posts go out around 00:00 UTC, and Friday is the busiest day of the week. Of the 33 posts sampled, 18% carry an image or video and 82% link out. The account's strongest tracked post pulled 53 interactions, about 11x its own typical post. Recurring topics include #brainteaser, #engineering, #iequiz.

Measured over 33 original posts from a 30-day window, last computed on September 4, 2026. Recurring tags: #brainteaser, #engineering, #iequiz.

Compared with accounts its own size

Interesting Engineering's engagement rate beats 9% of the tracked X accounts closest to it in follower count (6,874 accounts, accounts of similar size (decile 7 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 11% 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 0.002%, Interesting Engineering sits below the 10th percentile of the 66,258 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.016%.

p100.002%
p250.016%
p50 (median)0.1%
p750.499%
p902.09%
p99119.6%
Engagement rate as a share of followers, across the 66,258 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 56,968 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 percentile0.002%
25th percentile0.016%
50th percentile0.1%
75th percentile0.499%
90th percentile2.09%
99th percentile119.6%

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 00:00 UTC, and Friday 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: 00:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 00:00 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: Friday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Friday
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 video18% of posts+111%+108% to +115%34K
Outbound link82% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 18% 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.
  • 82% 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 269 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.

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 3, 202611x their median

    India's first bullet train is meant to run its opening stretch, Surat to Bilimora, on 15 August 2027, and almost every layer of that line is Japanese. We break down how the J-slab track system works, the 970-tonne full span girders, the undersea tunnel under Thane Creek, the 28 seismometers and the E10 Shinkansen.

    3713126.2K viewsView on X
  • Sep 3, 20267.4x their median

    Researchers at KTH Royal Institute of Technology in Sweden and the University of Southampton have developed a flat ribbon-shaped optical fiber called HARFF (High Aspect Ratio Flat Fiber) that achieves up to 1,000 times greater pressure sensitivity than conventional cylindrical optical fibers. The flat geometry β€” with aspect ratios approaching 20:1 β€” allows the fiber to deform far more responsively to transverse forces and hydrostatic pressure than a round fiber, changing its optical properties in ways that can be precisely measured. Two air channels running through the fiber create deliberate asymmetric deformation under pressure, altering a property called birefringence that shifts the light pattern traveling through it. A separate version with a tin-based alloy filling one channel demonstrated enhanced temperature sensing, exploiting the mismatch in thermal expansion between metal and glass. The team has already drawn more than 120 meters of HARFF from a single experimental preform, demonstrating manufacturability at scale. Potential applications include structural health monitoring in composite aircraft wings, drones, bridges, batteries, and industrial equipment β€” anywhere early detection of strain, pressure, or temperature changes is critical. "This is not just a different looking fiber, it is a new design space for optical fiber," said KTH researcher Pawel Maniewski. The research remains at proof-of-concept stage. πŸ“· Pawel Maniewski / Nature Communications

    297104.2K viewsView on X
  • Sep 3, 20265.6x their median

    Taiwan's XING Mobility has launched IMMERSIO CTP, a marine battery system in which every cell is fully submerged in a dielectric coolant instead of being cooled from the outside. The company says the design suppresses thermal runaway and stops fire spreading between cells, which lets it pack cells tighter for up to twice the energy density of a conventional marine battery. It is already running on the Porrima P111 in Taiwan and on an Austrian vessel called Smart IQ.

    244003.8K viewsView on X
  • Sep 4, 20263.0x their median

    Sweden plans four BWRX-300 small modular reactors with 1.2 GW of capacity, targeting the first unit for the mid-2030s. https://t.co/0grRnuC2fi

    123003.1K viewsView on X
  • Sep 4, 20263.0x their median

    A team from the Beijing Institute of Technology has developed a chip that enables real-time hyperspectral imaging analysis on a single piece of hardware, eliminating the need for bulky back-end servers and massive data transfers. Hyperspectral imaging captures the unique "spectral fingerprint" of materials across the electromagnetic spectrum, making it vital for satellite remote sensing, industrial inspection, and materials identification β€” but a single image can occupy hundreds of megabytes to gigabytes of data. The BIT team solved the processing bottleneck by mining data correlations to eliminate redundant calculations and redesigning the chip's arithmetic units for continuous on-chip processing. The chip follows a 2024 breakthrough by the same team that miniaturized the optical system of hyperspectral cameras to chip scale. Together, the two innovations enable fully compact, portable hyperspectral systems. The implications for satellite remote sensing are significant: instead of transmitting raw data to ground stations for processing, satellites could analyze hyperspectral data on board in real time. "When computing is chip-based, data no longer needs to be transmitted to the ground for processing β€” satellites can produce results in real time, right on board," said Professor Bian Liheng. The research is published in Science. πŸ“· Beijing Institute of Technology

    132003.1K viewsView on X
  • Sep 4, 20262.8x their median

    Stanford researchers have developed a highly efficient method for producing hydrogen using methane pyrolysis. https://t.co/Xl0YGeJKb6

    113003.1K viewsView on X
  • Sep 3, 20262.8x their median

    Russia's Rassvet satellite network β€” billed as the country's answer to Starlink β€” is off to a troubled start. Two launches in March and July delivered 32 satellites to low-Earth orbit, but none have reached their intended 500-mile operational altitude. At least three have suffered outright failures: one reentered the atmosphere in June, and two from the July launch appear headed for reentry without ever maneuvering. Most functioning satellites have settled around 300 miles rather than the planned 500 miles. The issues reflect Russia's chronic struggles with satellite production: the country has produced just a few dozen spacecraft per year since the Soviet Union's collapse. Russia's war in Ukraine has compounded the problem, diverting funding and personnel while Ukraine has struck the factory building the Soyuz rockets needed for Rassvet launches and sent drones toward the Plesetsk Cosmodrome launch site. The stakes are high: Russian military forces have been hungry for Rassvet access since SpaceX cut off unauthorized Russian use of Starlink terminals in February. The 12 Rassvet satellites currently in stable orbit pass over Ukraine twice daily with 90-minute communication windows β€” still far short of continuous coverage, which would require 16 more launches. Bureau 1440, the company behind Rassvet, aims to deploy 924 satellites by 2035. πŸ“· Bureau 1440

    83213.6K viewsView on X
  • Sep 4, 20261.8x their median

    A new solar project pairs lithium-ion and zinc batteries to deliver renewable power beyond daylight hours. https://t.co/XOU4nAPdmm

    80102.7K viewsView on X
  • Sep 4, 20261.8x their median

    CycloRP drop-in rocket fuel has passed combustion testing inside a rotating detonation rocket engine. https://t.co/OnDxjxqAwt

    63003.9K viewsView on X
  • Sep 4, 20261.8x their median

    With no steering wheel or pedals, Tesla’s Cybercabs are betting that riders are ready to surrender control completely to autonomous technology. https://t.co/YHCWpvA0ET

    63002.6K 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.

Recurring topics

#brainteaser#engineering#iequiz#logicchallenge#puzzleoftheday

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 5 interactions against 317K followers, an engagement rate of 0.002%. Measured over 33 original posts, its engagement rate beats 9% of 6,874 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 3.2K times each, and 0.158% of those impressions turn into an interaction. That is about 1% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.3 post a day over the last 30 days, though only 7% of days saw any activity at all. Most posts go out around 00:00 UTC, and Friday is the busiest day of the week. Of the 33 posts sampled, 18% carry an image or video and 82% link out. The account's strongest tracked post pulled 53 interactions, about 11x its own typical post. Recurring topics include #brainteaser, #engineering, #iequiz.

What is Interesting Engineering's engagement rate on X?
Interesting Engineering (@IntEngineering) has an engagement rate of 0.002%, based on the median interactions across 33 original posts from the last 30 days against 317,433 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.002%, Interesting Engineering sits below the 10th percentile of the 66,258 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 @IntEngineering have real engagement?
Its engagement rate beats 9% of the tracked X accounts closest to it in follower count (6,874 accounts), which puts it in the bottom 10% 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 @IntEngineering post?
Most posts go out around 00:00 UTC, and Friday is its busiest day, at roughly 1.33 posts per day across the measured window.

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