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Devdiscourse engagement report

@Dev_Discourse - 217K followers on X

Measured over 100 original posts from a 30-day window, last computed on October 3, 2026.

Engagement

Bottom 10% for its size
Per follower
0%
of 217K followers
Per impression
0%
214 views on a typical post
Reach
0.1%
of its followers see a post
Typical post
0
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
4.03/day
active 60% of days
Peak time
04:00 UTC
Thursday

A typical post picks up 0 interactions against 217K followers, an engagement rate of 0%. Measured over 100 original posts, its engagement rate beats 0% of 20,444 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 214 times each, and 0% of those impressions turn into an interaction. That is about 0.099% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4 posts a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 04:00 UTC, and Thursday is the busiest day of the week. Of the 100 posts sampled, 92% carry an image or video, 20% are part of a thread and 31% link out. The account's strongest tracked post pulled 4 interactions. Recurring topics include #climatechange, #renewables, #wto.

Measured over 100 original posts from a 30-day window, last computed on October 3, 2026. Recurring tags: #climatechange, #renewables, #wto.

Compared with accounts its own size

Devdiscourse's engagement rate beats 0% 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 0% 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%, Devdiscourse sits below the 10th percentile of the 205,475 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 205,475 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,893 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 04:00 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.

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: Thursday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Thursday
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 video92% of posts+111%+108% to +115%34K
Outbound link31% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 92% 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.
  • 31% 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 232 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 28, 2026

    Restoring forests is about far more than planting trees. FAO’s report shows how healthier landscapes can strengthen food security, rural livelihoods, biodiversity and climate resilience, but lasting recovery depends on better finance, inclusive governance and credible monitoring. https://t.co/M0gmGwGl3c

    2200232 viewsView on X
  • Sep 23, 2026

    Heavy rain is emerging as a serious threat to cocoa yields in Ecuador. The findings suggest wetter growing regions may need adaptation strategies focused on excess water, disease control and farm resilience. #Cocoa #ClimateChange #Agriculture #ClimateAdaptation #Ecuador https://t.co/nkIwDoLPw4

    1020497 viewsView on X
  • Sep 11, 2026

    More than 171 million students experienced climate-related disruption to their schooling in 2025, according to UNICEF’s Learning Interrupted analysis. https://t.co/k8O3QHNGlF

    1110246 viewsView on X
  • Sep 9, 2026

    Smoking can harm fertility in women and men, reduce assisted reproduction success, and expose non-smokers to reproductive risks through second-hand smoke. WHO urges healthcare providers to offer evidence-based support for quitting tobacco before pregnancy attempts begin. https://t.co/zt12BHNpYU

    1110174 viewsView on X
  • Oct 3, 2026

    G7 countries agree on release of diesel and oil stocks after US pressure https://t.co/A7Z1ViIQLe

    1100318 viewsView on X
  • Oct 2, 2026

    Can Automation Keep China’s Factories at Home and Rewrite the Future of Global Manufacturing? Read more: https://t.co/MSDNEUHAs7 https://t.co/SHiCIEhm3e

    1100308 viewsView on X
  • Oct 1, 2026

    Nepal’s flood crisis is no longer only about damaged roads and bridges. Disrupted trade routes, power links and markets are putting jobs, incomes and small businesses under pressure far beyond the flood zone — with informal workers among the most exposed. https://t.co/zzqpnYfWSC

    2000191 viewsView on X
  • Oct 1, 2026

    Heat-related illness at mass gatherings can largely be prevented or managed on site through early planning, accessible water, cooling facilities, crowd management and medical care. #WHOguideline #Heatwave https://t.co/7TdhWlH16b

    0110154 viewsView on X
  • Sep 30, 2026

    As nuclear guardrails weaken, the world faces a more uncertain era of strategic restraint. With New START expired and disarmament diplomacy stalled, the pressure is growing to rebuild arms-control mechanisms before mistrust and miscalculation deepen. https://t.co/kjSc3qeag1

    1100208 viewsView on X
  • Sep 28, 2026

    Global growth is holding up, but the cushion is thinning. Energy risks, persistent inflation, rising borrowing costs and AI financing pressures are narrowing the world economy’s room for error. #GlobalEconomy #OECD #Inflation https://t.co/YP4vohPwHq

    1100253 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

#climatechange#renewables#wto#africa#africaeconomy

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 0 interactions against 217K followers, an engagement rate of 0%. Measured over 100 original posts, its engagement rate beats 0% of 20,444 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 214 times each, and 0% of those impressions turn into an interaction. That is about 0.099% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4 posts a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 04:00 UTC, and Thursday is the busiest day of the week. Of the 100 posts sampled, 92% carry an image or video, 20% are part of a thread and 31% link out. The account's strongest tracked post pulled 4 interactions. Recurring topics include #climatechange, #renewables, #wto.

What is Devdiscourse's engagement rate on X?
Devdiscourse (@Dev_Discourse) has an engagement rate of 0%, based on the median interactions across 100 original posts from the last 30 days against 216,845 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0%, Devdiscourse sits below the 10th percentile of the 205,475 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 @Dev_Discourse have real engagement?
Its engagement rate beats 0% of the tracked X accounts closest to it in follower count (20,444 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 @Dev_Discourse post?
Most posts go out around 04:00 UTC, and Thursday is its busiest day, at roughly 4.03 posts per day across the measured window.

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