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npm engagement report

@npmjs - 148K followers on X

Measured over 1 original post from a 30-day window, last computed on September 25, 2026.

Engagement

Per follower
0.446%
of 148K followers
Per impression
0.603%
110K views on a typical post
Reach
74.0%
of its followers see a post
Typical post
661
interactions (median)
Saved
0.068%
74 bookmarks on a typical post
Posting rate
0.1/day
active 3% of days
Peak time
17:00 UTC
Monday

Early reading. We have captured 1 original post 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 661 interactions against 148K followers, an engagement rate of 0.446%. Posts are seen about 110K times each, and 0.603% of those impressions turn into an interaction. That is about 74.0% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.1 posts a day over the last 30 days, though only 3% of days saw any activity at all. Most posts go out around 17:00 UTC, and Monday is the busiest day of the week. The account's strongest tracked post pulled 1.8K interactions, about 2.8x its own typical post. Only 1 original post 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 1 original post from a 30-day window, last computed on September 25, 2026.

Where this sits in the catalog

At 0.446%, npm sits above the 50th percentile of the 156,839 accounts in this comparison. That places it in the above the median band, which runs 0.128% to 0.604%.

p100.003%
p250.022%
p50 (median)0.128%
p750.604%
p902.32%
p9983.4%
Engagement rate as a share of followers, across the 156,839 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 26,058 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 17:00 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: 17:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 17:00 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 video0% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length--8%-9% to -7%41K
  • 0% 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.
  • 0% 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 29 characters, which falls in the under 80 characters band. Across the catalog, posts under 80 characters run 8% 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

  • May 20, 20262.8x their median

    1/ To prevent supply chain attacks following the pattern of Mini Shai Hulud, we invalidated npm granular access tokens with write access that bypass 2FA. Update the stored token and rerun the workflow for your automations.

    1.5K1895452268K viewsView on X
  • Apr 15, 20222.6x their median

    GitHub has uncovered evidence that an attacker abused stolen OAuth user tokens issued to two third-party OAuth integrators, Heroku and Travis-CI. Read more about the impact to GitHub, npm, and our users. https://t.co/eB7IJfJfh1

    95364015116View on X
  • Sep 21, 2026

    The latest updates on npm 🧵⬇️

    63117103110K viewsView on X
  • Apr 19, 2023

    starting today, developers building npm projects on @GitHub Actions can request a provenance statement to be published alongside their package, giving consumers a verifiable way to link a package back to its source repository and build instructions. https://t.co/8zilYJz5Dc

    261741516137K viewsView on X
  • Nov 4, 2021

    this morning we detected multiple versions of the “coa” package published with malicious code due to a compromised account of a maintainer. we quickly removed the compromised versions and have published an advisory: https://t.co/5oHpHHbAYl. npm itself was not compromised. [1/3]

    145107738View on X
  • Jul 26, 2022

    We've launched a number of security enhancements to npm including: * Improved login and publish experience /w CLI * Connecting GitHub + Twitter accounts * All packages have been resigned and a new command `npm audit signatures` Read more at: https://t.co/yUd0yT9DOk

    1925636View on X
  • Feb 1, 2022

    today we enrolled all maintainers of the top-100 npm packages in mandatory 2FA. read more about it on our blog: https://t.co/z4vWIBKzPx

    19833718View on X
  • Nov 15, 2021

    an update on recent security incidents across the registry as well as a look into our ongoing investments in maintaining the security of the registry (including 2FA requirements) ⬇️ https://t.co/IlB8Qf6HAM

    13162633View on X
  • Dec 7, 2021

    continuing our commitment to npm security with the introduction of new enhanced login verification and timeline for two-factor authentication enforcement https://t.co/IIFnWJLxLD

    15240129View on X
  • Aug 8, 2022

    Today we opened an RFC with a proposal of how npm can collaborate with @projectsigstore to link packages to their source and build, a significant improvement to the supply chain security of the JavaScript ecosystem. https://t.co/GbHkir0pFA

    1454074View 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 661 interactions against 148K followers, an engagement rate of 0.446%. Posts are seen about 110K times each, and 0.603% of those impressions turn into an interaction. That is about 74.0% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.1 posts a day over the last 30 days, though only 3% of days saw any activity at all. Most posts go out around 17:00 UTC, and Monday is the busiest day of the week. The account's strongest tracked post pulled 1.8K interactions, about 2.8x its own typical post. Only 1 original post 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 npm's engagement rate on X?
npm (@npmjs) has an engagement rate of 0.446%, based on the median interactions across 1 original posts from the last 30 days against 148,190 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.446%, npm sits above the 50th percentile of the 156,839 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 @npmjs have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @npmjs post?
Most posts go out around 17:00 UTC, and Monday is its busiest day, at roughly 0.1 posts per day across the measured window.

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