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DigitalOcean engagement report

@digitalocean - 227K followers on X

Measured over 35 original posts from a 30-day window, last computed on October 2, 2026.

Engagement

Middle of its size range
Per follower
0.011%
of 227K followers
Per impression
0.352%
7.4K views on a typical post
Reach
3.26%
of its followers see a post
Typical post
26
interactions (median)
Saved
0.068%
5 bookmarks on a typical post
Posting rate
2.13/day
active 67% of days
Peak time
22:00 UTC
Thursday

A typical post picks up 26 interactions against 227K followers, an engagement rate of 0.011%. Measured over 35 original posts, its engagement rate beats 25% of 20,444 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 7.4K times each, and 0.352% of those impressions turn into an interaction. That is about 3.25% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.1 posts a day over the last 30 days, with activity on roughly 67% of days. Most posts go out around 22:00 UTC, and Thursday is the busiest day of the week. Of the 35 posts sampled, 86% carry an image or video, 6% are part of a thread and 86% link out. The account's strongest tracked post pulled 5.1K interactions, about 197x its own typical post.

Measured over 35 original posts from a 30-day window, last computed on October 2, 2026.

Compared with accounts its own size

DigitalOcean's engagement rate beats 25% 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 20% 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 0.011%, DigitalOcean sits above the 10th percentile of the 204,491 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%
p750.677%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,491 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,891 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 percentile0.677%
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 22:00 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: 22:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 22:00 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 video86% of posts+111%+108% to +115%34K
Outbound link86% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 86% 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.
  • 86% 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 299 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

  • Sep 10, 2026197x their median

    Go from idea to a working agent faster with the Agents API. Build and run cloud agents with the Codex harness, fully managed by OpenAI. We handle orchestration, long-running sessions, and context management. You focus on what makes your agent unique. Available in public beta. https://t.co/74siIaFdg4

    4.2K3742252921.9M viewsView on X
  • Sep 14, 2026107x their median

    Our new @digitalocean servers are already getting put to the torture test building our new bespoke kernel! This one built in just 11 minutes maxing out all cores on the AMD EPYC 9555P!! šŸ”„ https://t.co/8eRcuLXxbC

    2.6K611099119K viewsView on X
  • Sep 24, 20264.8x their median

    Using managed agents is perfect for running coding agents anywhere in the world. The beauty of this: • You can resume a session from anywhere • You can fork a session into multiple agents • You can run parallel agents • You can reuse environments Here is how you can do this with Claude Code, Codex, OpenCode, or Hermes.

    73446316K viewsView on X
  • Aug 7, 20263.7x their median

    DeepSeek-V4-Flash-0731 is live on DigitalOcean. šŸ†• https://t.co/HjVtp76xgj A full post-training pass for agentic coding: Terminal Bench 2.1 up 61.8 to 82.7, now beating @deepseek_ai's own V4-Pro, at 13B active params. Serverless and Dedicated Inference, predictable pricing, no infra setup.

    691782220K viewsView on X
  • Sep 15, 20263.1x their median

    Run DigitalOcean Managed Agent Runtime Services (M.A.R.S.) from inside @herdrdev. šŸ Developer advocate @amit shows how: local and cloud runs in one list, attach to a live one and watch it work, start a new one without leaving the terminal. Herdr MARS Plugin. šŸ”— https://t.co/Y8GHmDbmry

    669419.5K viewsView on X
  • Aug 28, 20262.6x their median

    GLM-5.3 is live on DigitalOcean Inference Engine, day 0. @Zai_org's strongest agentic coding model yet. https://t.co/Qckww7N4Yu https://t.co/rFTbwnt1jM

    51583234K viewsView on X
  • Aug 28, 20262.6x their median

    GLM-5.3-Flash, the artist formerly known as Ox Alpha, is now available through DigitalOcean Inference Engine. šŸ†• https://t.co/sE32kULwLx @Zai_org's first natively multimodal GLM-5 model reads images + video alongside text, with a 1M-token context window and hybrid attention that cuts compute and KV cache size by 3-4x.

    51673230K viewsView on X
  • Sep 1, 20262.2x their median

    Your coding agent shouldn't die when you close your laptop. That's why we built Managed Agents Runtime Services (M.A.R.S.). One doctl command sandboxes Claude Code, Codex, OpenCode, or your own agent. Pause & resume with state intact. Checkpoint, then fork into parallel runs. Sign up for the private preview today. šŸ”— https://t.co/O01PwYU5PT

    411968.5K viewsView on X
  • Sep 2, 20262.1x their median

    GLM 5.3 via @DigitalOcean is 50% off on AI Gateway through Sept 8: šš–šš˜ššššŽšš•: 'šš£ššŠšš’/šššš•šš–-šŸ».šŸ¹-šš™šš›šš˜šš–šš˜-šŸ»šŸ¶' https://t.co/JQiTdmmESK

    4525315K viewsView on X
  • Oct 1, 20261.8x their median

    Agent Droplets put compute, memory, inference, storage and tools for your agents on one monthly plan. Pro is $50 a month with 15% off usage, and Team is $200 with 20% off. Unlimited agents, no seat charges. https://t.co/pb7AR7QLMa https://t.co/YWDthefTvB

    36732136K 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 26 interactions against 227K followers, an engagement rate of 0.011%. Measured over 35 original posts, its engagement rate beats 25% of 20,444 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 7.4K times each, and 0.352% of those impressions turn into an interaction. That is about 3.25% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.1 posts a day over the last 30 days, with activity on roughly 67% of days. Most posts go out around 22:00 UTC, and Thursday is the busiest day of the week. Of the 35 posts sampled, 86% carry an image or video, 6% are part of a thread and 86% link out. The account's strongest tracked post pulled 5.1K interactions, about 197x its own typical post.

What is DigitalOcean's engagement rate on X?
DigitalOcean (@digitalocean) has an engagement rate of 0.011%, based on the median interactions across 35 original posts from the last 30 days against 226,725 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.011%, DigitalOcean sits above the 10th percentile of the 204,491 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 @digitalocean have real engagement?
Its engagement rate beats 25% of the tracked X accounts closest to it in follower count (20,444 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 @digitalocean post?
Most posts go out around 22:00 UTC, and Thursday is its busiest day, at roughly 2.13 posts per day across the measured window.

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