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nader dabit engagement report

@dabit3 - 197K followers on X

Measured over 14 original posts from a 30-day window, last computed on October 11, 2026.

Engagement

Top quarter for its size
Per follower
0.262%
of 197K followers
Per impression
0.815%
63K views on a typical post
Reach
32.2%
of its followers see a post
Typical post
514
interactions (median)
Saved
0.23%
145 bookmarks on a typical post
Posting rate
3.7/day
active 40% of days
Peak time
15:00 UTC
Monday

A typical post picks up 514 interactions against 197K followers, an engagement rate of 0.262%. Measured over 14 original posts, its engagement rate beats 76% of 20,444 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 63K times each, and 0.815% of those impressions turn into an interaction. That is about 32.1% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.7 posts a day over the last 30 days, though only 40% of days saw any activity at all. Most posts go out around 15:00 UTC, and Monday is the busiest day of the week. Of the 14 posts sampled, 71% carry an image or video, 36% are part of a thread and 29% link out. The account's strongest tracked post pulled 7.0K interactions, about 14x its own typical post.

Measured over 14 original posts from a 30-day window, last computed on October 11, 2026.

Compared with accounts its own size

nader dabit's engagement rate beats 76% 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 37% 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 0.262%, nader dabit sits above the 50th percentile of the 205,261 accounts in this comparison. That places it in the above the median band, which runs 0.143% to 0.678%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 205,261 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 15:00 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: 15:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 15:00 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 video71% of posts+111%+108% to +115%34K
Outbound link29% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 71% 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.
  • 29% 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 431 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 6, 202614x their median

    Opus 5.5 just deleted my entire fucking C drive. Thank GOD I have daily backups running to my Synology NAS, but holy fucking shit. This is insane. If I didn't have these backups running I'd be thoroughly fucking devastated. https://t.co/krIIgnxcCV

    5.5K2618533211.0M viewsView on X
  • Sep 11, 20263.3x their median

    We independently benchmarked Devin Fusion for its release today - this is the first time a multi-model coding agent has been included on the Artificial Analysis Coding Agent Index, and it effectively retains Claude Fable 5.1 and GPT-6 Astra performance while reducing costs Devin Fusion runs a frontier lead model with a cost-efficient sidekick. We tested configurations from Cognition combining frontier models from Anthropic and OpenAI with their new SWE-2 (medium) as a sidekick model. Configured with Claude Fable 5.1 (xhigh) + SWE-2 (medium), Devin Fusion scores 62 on the Coding Agent Index v1.5, while with GPT-6 Astra (xhigh) + SWE-2 (medium) it scores 59. The Fable configuration has the higher score, while the Astra configuration is 43% less expensive and completes tasks 31% faster. Congratulations to @cognition on the release! See below for our results and analysis 🧵

    1.5K8894551.3M viewsView on X
  • Sep 13, 20263.0x their median

    The Devin Ambassador Program is looking for members in these cities: Seoul San Francisco Hong Kong NYC Bangalore Seattle Singapore Berlin Paris Los Angeles Zurich Boston Austin Amsterdam Miami Sydney Hyderabad Stockholm Dublin Denver-Boulder Chicago Washington DC Munich Taipei Mumbai Delhi Jakarta Ho Chi Minh City Madrid Barcelona Lisbon Warsaw Tallinn Copenhagen Mexico City Buenos Aires Salt Lake City Atlanta That being said, if you're exceptional and AI-pilled location doesn't matter all that much! Ambassadors get perks like free Devin plans and credits, direct event support, support from the Cognition team,+ more. Applications open here: https://t.co/l01mwaNogK

    1.2K8927026151K viewsView on X
  • Oct 8, 20262.2x their median

    Today Hone launches Engines: AI that owns business outcomes. Chatbots give answers. Agents do tasks. Engines deliver outcomes, and we hold them responsible for creating real value, measured in actual dollars instead of tokens or vibes. You point it at a business metric, and the Engine figures out the rest. It onboards itself, builds the necessary agents, skills, and memories, collaborates with the right people, and gets better with experience. From AI leaders to global enterprises, our customers have already used Engines to: • Uncover millions in procurement savings • Optimize product funnels • Manage credit risk • Increase qualified pipeline in new territories • Accelerate implementations and improve account management To scale this impact across the economy, we’ve raised a $60M seed led by Benchmark and Index with participation from Elad Gil, Hanabi, Definition, Diffusion, Lux, SV Angel, and Align. AI’s raw capabilities are far ahead of the value it creates in the real world, and Engines will help close the gap. Here’s how they work…

    8367712984270K viewsView on X
  • Sep 13, 20261.9x their median

    Off-topic but my son started a fishing YouTube channel and I want to help him get some followers. So have a look and consider following, he’s a funny kid! It would mean a lot to him. https://t.co/OfDKPz6iFg https://t.co/SjRsQG3B49

    83935115133K viewsView on X
  • Sep 14, 20261.6x their median

    much of whatever success I've had in my career can be attributed to being terminally online, and being intentional about the people and places where I consume information being able to identify and act on the right information as quickly as possible opens up a lot of weird and interesting opportunities that are hard to explain sometimes the next phase of this is having agents surface this information more quickly and precisely. automations allow me to process a vastly larger set of inputs than I could as a human for me this is looking like daily reports from Devin and Hermes agent using xAI, Exa, GitHub and other APIs that process signals I'm looking for, summarize and brief me on things I should be looking into I'm still only scratching the surface here but I am already floored by the value these types of automations provide me vs doing it all myself

    71936753327K viewsView on X
  • Sep 14, 2026

    this is one of the most elite meals on planet earth. if you get to experience a homemade version of this in your lifetime, consider yourself blessed. https://t.co/3fIVg48aCi

    493070669K viewsView on X
  • Oct 5, 2026

    if the entirety of your engineering setup doesn't look like this you're falling behind https://t.co/6ZxUvtRrq2

    3681375416K viewsView on X
  • Oct 10, 2026

    cloud agent enjoyers watching people still walk around with their laptops cracked open https://t.co/tcGKwwsH3f

    3391644756K viewsView on X
  • Oct 7, 2026

    Made a short video walking through Devin Mobile: Cloud agents running on Linux, MacOS, or Windows from anywhere https://t.co/riaBiES8Dq

    23333271059K 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 514 interactions against 197K followers, an engagement rate of 0.262%. Measured over 14 original posts, its engagement rate beats 76% of 20,444 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 63K times each, and 0.815% of those impressions turn into an interaction. That is about 32.1% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.7 posts a day over the last 30 days, though only 40% of days saw any activity at all. Most posts go out around 15:00 UTC, and Monday is the busiest day of the week. Of the 14 posts sampled, 71% carry an image or video, 36% are part of a thread and 29% link out. The account's strongest tracked post pulled 7.0K interactions, about 14x its own typical post.

What is nader dabit's engagement rate on X?
nader dabit (@dabit3) has an engagement rate of 0.262%, based on the median interactions across 14 original posts from the last 30 days against 196,595 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.262%, nader dabit sits above the 50th percentile of the 205,261 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 @dabit3 have real engagement?
Its engagement rate beats 76% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the top quarter 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 @dabit3 post?
Most posts go out around 15:00 UTC, and Monday is its busiest day, at roughly 3.7 posts per day across the measured window.

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