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Golem Network engagement report

@golemproject - 163K followers on X

Measured over 18 original posts from a 30-day window, last computed on October 24, 2026.

Engagement

Middle of its size range
Per follower
0.02%
of 163K followers
Per impression
0.915%
3.6K views on a typical post
Reach
2.21%
of its followers see a post
Typical post
33
interactions (median)
Saved
0.055%
2 bookmarks on a typical post
Posting rate
2.43/day
active 93% of days
Peak time
12:00 UTC
Friday

A typical post picks up 33 interactions against 163K followers, an engagement rate of 0.02%. Measured over 18 original posts, its engagement rate beats 32% of 21,185 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 3.6K times each, and 0.915% of those impressions turn into an interaction. That is about 2.21% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.4 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 12:00 UTC, and Friday is the busiest day of the week. Of the 18 posts sampled, 61% carry an image or video and 50% link out. The account's strongest tracked post pulled 182 interactions, about 5.5x its own typical post.

Measured over 18 original posts from a 30-day window, last computed on October 24, 2026.

Compared with accounts its own size

Golem Network's engagement rate beats 32% of the tracked X accounts closest to it in follower count (21,185 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 40% 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 0.02%, Golem Network sits above the 10th percentile of the 212,805 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.025%.

p100.004%
p250.025%
p50 (median)0.146%
p750.697%
p902.61%
p9983.1%
Engagement rate as a share of followers, across the 212,805 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,448 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 percentile0.025%
50th percentile0.146%
75th percentile0.697%
90th percentile2.61%
99th percentile83.1%

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 12:00 UTC, and Friday 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: 12:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 12:00 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: Friday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Friday
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 video61% of posts+111%+108% to +115%34K
Outbound link50% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 61% 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 236 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

  • Oct 4, 20265.5x their median

    🎓 Students, this is your final chance to join us at Devcon 8! We've opened a final round of student ticket applications for those who missed the earlier deadline, apps now close Oct 23! 🇮🇳 Indian students: $25 🌍 International students: $49 w/ ETH or $99 w/ cash

    1432113522K viewsView on X
  • Sep 14, 20263.3x their median

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    8191538.4K viewsView on X
  • Sep 24, 20262.7x their median

    Kaali Peeli 🛺 builder interview #3 is live Meet @ThisisVanshika, working on stablecoins & payments at @gnosispay She talks about going from a non-tech background to crypto, what made her stick around, and how her first crypto experience eventually led to a role at one of the ecosystem’s leading projects. We get into putting users first, why Devcon coming to India got her excited, and her advice for everyone making the trip to Mumbai. Full convo 👇

    748538.2K viewsView on X
  • Oct 15, 20262.7x their median

    Want a @EFDevcon ticket? Want a share of $5,000 USDC? Curious about a web3 database? Hack on [@arkivnetwork ] until Oct 18 @devfolio 👉 https://t.co/c3lcOy1DrR This video helps you connect your agent to Arkiv in about a minute ⤵️ https://t.co/AguW3xA9O8

    739423.1K viewsView on X
  • Sep 4, 20262.5x their median

    After hosting 30+ dev workshops & residencies across Africa, Latin America & Europe, @SantiagoDevRel, of @golemproject, is joining us on the stage at Devcon 8. His workshop, “Your dApp is 90% Web2,” will explore how to rebuild apps using open, verifiable infrastructure. https://t.co/aBis8lOPgU

    714448.8K viewsView on X
  • Sep 18, 20262.1x their median

    Another Devcon 8 supporter joins us in Mumbai 🇮🇳 Welcome @arkivnetwork. Arkiv is building web3 databases that combine blockchain guarantees with the convenience of a traditional database, giving devs queryable, wallet-owned data built for @ethereum. See you at Devcon 8 🫡 https://t.co/MYlfatO7L8

    571749.2K viewsView on X
  • Sep 2, 20261.7x their median

    Are YOU one of the 3⃣·5⃣·0⃣ [ A ] Community members that submitted your idea? What can YOU [ ARKIV ] Winners Announcement 🏆 🗓️ Thursday · 4pm CET With judges @SantiagoDevRel @shantelleawo and @ColoMMiranda 🔗 https://t.co/LeWn5VlVYx https://t.co/cYluoHbf9k

    397744.2K viewsView on X
  • Sep 14, 20261.7x their median

    Hackathon update: I built a GitHub clone with repositories and commit history saved on [Arkiv] and the files and folder saved on Swarm 🐝 I built it in 16 hours because I spent the other 24 feeling sick and changing my mind about the idea not one, not two, not three but FOUR times. I feel so proud of myself because I managed to both submit and even win two prizes, the main one with @ethswarm and an extra judges award from @arkivnetwork. I also want to use this post to publicly thank @yjkellyjoo for the patience she had with my looooing idea validation phase, Krisztian for his help with the folder uploading nightmare at 1 am, @rakymnft for the priceless life advices and for bringing her dog, @shantelleawo for being as she is, a wonderful encouraging and joyful person, together with @SantiagoDevRel who never stops smiling. A special thanks also goes to @gallo_eth and @lucamorelli_eth for hosting and organizing an amazing event and cooking a delicious pulled pork. As always @ETHRome remains in my heart with amazing memories.

    455512.3K viewsView on X
  • Oct 19, 2026

    Wow, people REALLY want to come to @EFDevcon with us 👩‍💻 Thank you 🫶 to all the submissions for [ ARKIV ] We3 Database Tour: Road to Devcon With frens @devfolio x @ns Want to see some of the submissions? 👇 Share & like the ones you love! 🧵1/ https://t.co/z4B1wUPbKk

    344553.0K viewsView on X
  • Oct 7, 2026

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    315485.1K 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 33 interactions against 163K followers, an engagement rate of 0.02%. Measured over 18 original posts, its engagement rate beats 32% of 21,185 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 3.6K times each, and 0.915% of those impressions turn into an interaction. That is about 2.21% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.4 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 12:00 UTC, and Friday is the busiest day of the week. Of the 18 posts sampled, 61% carry an image or video and 50% link out. The account's strongest tracked post pulled 182 interactions, about 5.5x its own typical post.

What is Golem Network's engagement rate on X?
Golem Network (@golemproject) has an engagement rate of 0.02%, based on the median interactions across 18 original posts from the last 30 days against 163,496 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.02%, Golem Network sits above the 10th percentile of the 212,805 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 @golemproject have real engagement?
Its engagement rate beats 32% of the tracked X accounts closest to it in follower count (21,185 accounts), which puts it in the middle of its size range 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 @golemproject post?
Most posts go out around 12:00 UTC, and Friday is its busiest day, at roughly 2.43 posts per day across the measured window.

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