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GeoSn0w engagement report

@FCE365 - 121K followers on X

Measured over 4 original posts from a 30-day window, last computed on October 5, 2026.

Engagement

Per follower
0.016%
of 121K followers
Per impression
0.352%
5.4K views on a typical post
Reach
4.45%
of its followers see a post
Typical post
19
interactions (median)
Saved
0.083%
4 bookmarks on a typical post
Posting rate
0.23/day
active 20% of days
Peak time
04:00 UTC
Monday

Early reading. We have captured 4 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 19 interactions against 121K followers, an engagement rate of 0.016%. Posts are seen about 5.4K times each, and 0.352% of those impressions turn into an interaction. That is about 4.45% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.23 posts a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 04:00 UTC, and Monday is the busiest day of the week. Of the 4 posts sampled, 75% carry an image or video and 50% link out. The account's strongest tracked post pulled 243K interactions, about 12790x its own typical post. Only 4 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 4 original posts from a 30-day window, last computed on October 5, 2026.

Where this sits in the catalog

At 0.016%, GeoSn0w sits above the 10th percentile of the 157,102 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.022%.

p100.003%
p250.022%
p50 (median)0.128%
p750.604%
p902.32%
p9983.4%
Engagement rate as a share of followers, across the 157,102 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 26,052 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 percentile0.003%
25th percentile0.022%
50th percentile0.128%
75th percentile0.604%
90th percentile2.32%
99th percentile83.4%

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 04:00 UTC, and Monday 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: 04:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 04:00 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: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Monday
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 video75% of posts+111%+108% to +115%34K
Outbound link50% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 75% 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.
  • 50% 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 137 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 3% below 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

  • Jul 1, 202612790x their median

    Important updates: News on physical discs for new games - https://t.co/BzZODXdWGY News on PlayStation Store on PS3 and PS Vita - https://t.co/ev3mN6wj14 https://t.co/PWXTZGHAh6

    66K15K107K55K187M viewsView on X
  • Jun 22, 202618x their median

    The IMPOSSIBLE Happened! New iOS BootROM Exploit RELEASED (A12 & A13) - iOS 27 JAILBREAK Now Possible (usbliter8) 🤯 NEW VIDEO: https://t.co/mUJou1NBBZ Similar to checkm8, it requires a USB, it can load firmware, PaleRa1n-like JB is now possible forever on iPhone 11, SE 2 https://t.co/ypNUeCABk2

    2973413141K viewsView on X
  • Mar 24, 202614x their median

    New DarkSword Kernel Exploit For iOS 26.0.2 / iOS 16 ALL DEVICES - Dopamine JAILBREAK Is BACK! (ALL Devices) 🎉 NEW VIDEO: https://t.co/CDKOqYvhIE We're discussing the brand new DarkSword kernel exploit for iOS 26.0.1 all the way down to iOS 16. This was released and works on all devices, including iPhone 17, iPhone 16, iPhone 15, etc. Dopamine Jailbreak developer, opa334, has announced plans to update Dopamine Jailbreak to support more iOS versions. With the PPL / SPTM bypass we have also from Coruna, we could update jailbreak tools up to iOS 17.3.1 on newer phones, and up to iOS 18.7.1 for arm64 devices. If a new PPL / SPTM bypass is released we can update the jailbreak tools up to iOS 26.0.1 thanks to this new kernel exploit. It's certainly a huge day for the jailbreak community.

    2242820229K viewsView on X
  • Sep 19, 202611x their median

    Is https://t.co/5ljA7krnPy.iokit.EndpointSecuritySE really what is cracked to be? Cuz if so, jailbreaking is pretty much over.

    192511041K viewsView on X
  • Mar 11, 20269.4x their median

    Oh boy... so much to cover about the new exploits. On the bright side, this is the biggest news the iOS Jailbreak community had in over 2 years :-) Expect videos. Lots of them.

    16359121K viewsView on X
  • Mar 30, 20267.9x their median

    NEW Dopamine JAILBREAK RELEASED! With New DarkSword Kernel Exploit For iOS 15.0 - 16.7.15 arm64, with arm64e support (up to 17.3.1) in development. 🎉 NEW VIDEO: https://t.co/XArS5XEQSL We're discussing the release of the new Dopamine Jailbreak with DarkSword kernel exploit. Thanks to this pre-release, Dopamine now supports for the first time in years iOS 15.0 - 16.7.15 on arm64 devices, with arm64e (iPhone 11, 12, 13, 14, 15 etc.) support for up to iOS 17.3.1 being currently in development thanks to the Coruna PPL / SPTM bypass. This was a massive release for the iOS jailbreak community and DarkSword will result in many nice and modern tools even for newer devices and iOS versions. It's certainly a huge day for the jailbreak community.

    1181518017K viewsView on X
  • Jun 26, 20267.6x their median

    Guess what just arrived in the mail :) usbliter8 here I come https://t.co/sAuTrkIoTg

    13707013K viewsView on X
  • Apr 28, 20266.5x their median

    Hello everyone, long time no speak. Been very busy reverse engineering lots of stuff lately but wanted to let you know the direction of the iDevice Central channel. iOS Jailbreak Content: Since iOS jailbreaking is spotty, I will keep covering jailbreak news only when there is something relevant. New updates to tools, maybe new releases, important vulnerabilities. I will try to have at least one weekly "status" video when times are dry to let people know where we're at and what happened over the past week. New iOS Hacking / Reverse Engineering content: This has been in the drafts for many months, but I am planning to bring back iOS Reverse Engineering / Tweak development / hacking content on the channel. This will include using IDA Pro / Home, LLDB, Hopper Disassembler, dealing with arm64(e) binaries, XORed strings, opaque predicates, CFF, MBA and other obfuscation techniques, watching network traffic etc. I am fully aware this kind of content won't get as many views as overly clickbaity jailbreak videos do, and that is okay. I would rather give you guys something of value to watch. With this change, we're officially changing the thumbnail style too. Here's a sneak peek of the upcoming first video in the iOS Security Research Playlist. Coming Soon! Please let me know what do you think about the change in topic, as well as the change in thumbnail style. Better? Worse?

    10798011K viewsView on X
  • Jun 26, 20266.3x their median

    I've been asked if one can use the more readily available Arduino (Mega, Uno, etc.) boards for the new iOS usbliter8 BootROM exploit for A12 and A13. The answer is quite nuanced. Technically, the Raspberry PICO method uses a similar lightning cable's Data wires to board's I/O pin, so it should work on Arduino right? Not really, and the reason it doesn't isn't the wiring, but rather the USB interfacing itself. Let's take each method: Method 1: Using Arduino USB Shield on top of the Board You can find USB Shields compatible with Arduino UNO or Mega and pop them in there, but these have an off the shelf USB controller attached to them which sadly does the exact same thing that prevent you from just using you PC for this. It is hardcoded at silicon-level to enforce USB protocol compliance so the intentionally malformed USB packets sent by the exploit would be blocked before they reach the phone. Method 2: Using the Arduino's microcontroller directly without a USB shield. This method assumes you wire the lightning cable directly to the Arduino's I/O pins, just like the Raspberry Pico method. Without a dedicated off the shelf USB controller, you'd need to implement the entire USB protocol in software and have the microcontroller of the board do the USB bit-banging the exploit does. While this saves you from being stopped for violating the USB spec, since you control the spec, Arduino cannot do this because it's way too slow for the throughput real USB requires. Even the MEGA is nowhere near fast enough when you do the whole USB stack in software. So why does the Raspberry Pico work? Compared to Arduino, and your PC, the Raspberry Pico board does not have a dedicated USB controller chip, but rather it uses PIO (programmable I/O) state machines which means you can basically make it follow any spec you want, including USB and at proper speeds. The whole point of PIO is that you can implement connections and specs your board does not have. The best part, the PICO does not run these on the main CPU, they are dedicated parts of the RP2350 chip but separate, so while these are busy emulating USB, VGA, Serial, etc, the CPU can run actual code, which Arduino tragically cannot, as it has no PIO. SO TL;DR: Raspberry PICO (and its million clones) have Programmable Input/Output state machines that allows it to simulate any protocol you program them to, including USB, without having to check if the USB packets are correct to spec. Arduino does not have PIO, is too slow to emulate in software, and if you attach a USB Host Shield to it, the controller it comes with checks the packets and stops you. If you have any questions, shoot away! I love deep diving into hardware stuff.

    97911220K viewsView on X
  • Feb 18, 20266.2x their median

    iOS 26.2 / iOS 18.6.2 - 17 JAILBREAK Alternative For All Devices: Nugget UPDATED (7.2)! Get Real Tweaks Without Jailbreak! 📲 NEW VIDEO: https://t.co/akxf1cQrZ9 We're discussing a few new Nugget iOS Tweaker updates. Nugget is an iOS customization platform that works without being jailbroken, supports a variety of jailbreak-like tweaks, supports newer devices, and even iOS 26.2. You can do quite a lot with it, including changing the carrier name, have animated wallpapers, enabling Stage Manager, and so on. Several new features as well as bug fixes have been added.

    102160015K 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 19 interactions against 121K followers, an engagement rate of 0.016%. Posts are seen about 5.4K times each, and 0.352% of those impressions turn into an interaction. That is about 4.45% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.23 posts a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 04:00 UTC, and Monday is the busiest day of the week. Of the 4 posts sampled, 75% carry an image or video and 50% link out. The account's strongest tracked post pulled 243K interactions, about 12790x its own typical post. Only 4 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 GeoSn0w's engagement rate on X?
GeoSn0w (@FCE365) has an engagement rate of 0.016%, based on the median interactions across 4 original posts from the last 30 days against 121,446 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.016%, GeoSn0w sits above the 10th percentile of the 157,102 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 @FCE365 have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @FCE365 post?
Most posts go out around 04:00 UTC, and Monday is its busiest day, at roughly 0.23 posts per day across the measured window.

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