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Hashnode engagement report

@hashnode - 90K followers on X

Measured over 3 original posts from a 30-day window, last computed on September 23, 2026.

Engagement

Per follower
0.011%
of 90K followers
Per impression
0.333%
3.0K views on a typical post
Reach
3.33%
of its followers see a post
Typical post
10
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
0.2/day
active 13% of days
Peak time
09:00 UTC
Wednesday

Early reading. We have captured 3 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 10 interactions against 90K followers, an engagement rate of 0.011%. Posts are seen about 3.0K times each, and 0.333% of those impressions turn into an interaction. That is about 3.33% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.2 posts a day over the last 30 days, though only 13% of days saw any activity at all. Most posts go out around 09:00 UTC, and Wednesday is the busiest day of the week. Of the 3 posts sampled, 33% are part of a thread and 33% link out. The account's strongest tracked post pulled 136K interactions, about 13554x its own typical post. Only 3 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 3 original posts from a 30-day window, last computed on September 23, 2026.

Where this sits in the catalog

At 0.011%, Hashnode sits above the 10th percentile of the 201,130 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.141%
p750.671%
p902.53%
p9982.4%
Engagement rate as a share of followers, across the 201,130 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,900 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 percentile0.141%
75th percentile0.671%
90th percentile2.53%
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 09:00 UTC, and Wednesday 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: 09:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 09:00 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: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Wednesday
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 link33% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 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.
  • 33% 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 193 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

  • Apr 1, 202613554x their median

    Help us find them. Use the Stolen KitKat Tracker. Link in bio. https://t.co/VLknwiHbGf

    114K12K6.0K4.0K14M viewsView on X
  • Apr 14, 2026882x their median

    Introducing Passmark: an open-source AI agent purpose-built for regression testing at scale. Built on Playwright: natural language tests, multi-model assertions, smart caching, telemetry, AI gateway support and more! github: bug0inc/passmark

    7.9K88901635M viewsView on X
  • Mar 31, 2026317x their median

    Inbox Zero is a thing of the past. Introducing AI Inbox: cut through your email clutter with smart prioritization and daily personalized briefings. Rolling out today in Beta for Google AI Ultra subscribers in the US. → https://t.co/Oa6gfKYO1a https://t.co/AQZ7VEeK9k

    2.6K200280132805K viewsView on X
  • Apr 13, 2026263x their median

    announcing Breaking Apps Hackathon - a 4-week challenge to test any web app using AI. write tests in plain english using open-source Passmark playwright library by @bug0inc. build something or pick an app, write a test suite and submit. open to everyone. starts today.

    2.2K4441616M viewsView on X
  • Apr 4, 202655x their median

    TOP FREE BACKLINKS OF THE WEEK: - chromewebstore. google .com DR 99 - pages.github .com DR 96 - behance .net DR 92 - climate.stripe .com DR 94 - medium .com DR 94 - crunchbase .com DR 91 - dev .to DR 90 - indiepa .ge DR 67 - hashnode .com DR 88 - substack .com DR 88 - dribbble .com DR 91 - producthunt .com DR 90 - about .me DR 92 - carrd .co DR 89 - linktr .ee DR 92 - mssg .me DR 88 - taplink .cc DR 86 - gumroad .com DR 90

    4685127336K viewsView on X
  • Apr 5, 202613x their median

    next week we're bringing hackathons back to hashnode

    11231124.9K viewsView on X
  • Jun 15, 20262.7x their median

    so close to 1k… bug0/passmark ftw https://t.co/FpU3TPEmKY

    186123.5K viewsView on X
  • Jun 29, 20262.4x their median

    Every post on Hashnode now has a "View as Markdown" button. One click, raw markdown, ready to paste into your editor, your notes, or your favorite LLM. Read the post. Grab the source. No scraping required. https://t.co/AbmKaY9uut

    211201.7K viewsView on X
  • Jun 18, 20262.2x their median

    Your AI agent can now learn the entire Hashnode GraphQL API in one command: npx skills add Hashnode/gql-skill Every query, every mutation, auth, and which ops need Pro. Works with Claude Code, Cursor, Copilot, and more. 🔗 https://t.co/s0AG9S2Z1g

    171401.8K viewsView on X
  • Apr 6, 20261.9x their median

    if english is the new programming language, where do you write it? v0? lovable? cursor? claude code?

    132401.7K 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 10 interactions against 90K followers, an engagement rate of 0.011%. Posts are seen about 3.0K times each, and 0.333% of those impressions turn into an interaction. That is about 3.33% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.2 posts a day over the last 30 days, though only 13% of days saw any activity at all. Most posts go out around 09:00 UTC, and Wednesday is the busiest day of the week. Of the 3 posts sampled, 33% are part of a thread and 33% link out. The account's strongest tracked post pulled 136K interactions, about 13554x its own typical post. Only 3 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 Hashnode's engagement rate on X?
Hashnode (@hashnode) has an engagement rate of 0.011%, based on the median interactions across 3 original posts from the last 30 days against 90,002 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.011%, Hashnode sits above the 10th percentile of the 201,130 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 @hashnode have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @hashnode post?
Most posts go out around 09:00 UTC, and Wednesday is its busiest day, at roughly 0.2 posts per day across the measured window.

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