IBM Developer engagement report
@IBMDeveloper - 122K followers on X
Measured over 5 original posts from a 30-day window, last computed on October 5, 2026.
Engagement
Early reading. We have captured 5 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 19 interactions against 122K followers, an engagement rate of 0.016%. Posts are seen about 3.6K times each, and 0.523% of those impressions turn into an interaction. That is about 2.98% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.4 posts a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 14:00 UTC, and Monday is the busiest day of the week. Of the 5 posts sampled, 100% carry an image or video, 20% are part of a thread and 60% link out. The account's strongest tracked post pulled 60 interactions, about 3.2x its own typical post. Recurring topics include #java, #podcast. Only 5 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 5 original posts from a 30-day window, last computed on October 5, 2026. Recurring tags: #java, #podcast.
Where this sits in the catalog
At 0.016%, IBM Developer sits above the 10th percentile of the 156,969 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.022%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.003% |
| 25th percentile | 0.022% |
| 50th percentile | 0.128% |
| 75th percentile | 0.604% |
| 90th percentile | 2.32% |
| 99th percentile | 83.4% |
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 14:00 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.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 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 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
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.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 100% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 60% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | no effect | -2% to -1% | 42K |
- 100% 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.
- 60% 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 209 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
- Jun 9, 20263.2x their median
Build AI agents and MCP tools in watsonx Orchestrate using IBM Bob. 🏗️ In this walkthrough, Ahmed Azraq shows how to build an MCP server with Bob, from designing to implementation. 🎥: https://t.co/cQN9fN7frD https://t.co/KCtYfT9ZvH
- Jun 23, 20262.4x their median
AI agents are easy to demo. Production is a different problem. Enter CUGA. 🦉 An open-source agent harness that lets you focus on building instead of plumbing: https://t.co/5jRzs87mOV https://t.co/2RkUjdyllT
- Sep 9, 20262.0x their median
Consider this your printed reminder: 💻 IBM TechXchange 2026 🗓️ October 26–29 📍 Atlanta, GA See you there. 👀 https://t.co/sYqRPWuzFt
- Aug 7, 20261.9x their median
Native QSYS connectivity, built-in @IBM i skills and agentic workflows, all within your VS Code-family workspace. Premium Package for i brings IBM Bob directly to your IBM i system. No export loops. No friction. Explore what’s possible: https://t.co/EmIy7Hpz68 https://t.co/vBmdnA8by3
- Sep 21, 20261.8x their median
Starting next week, builders of every background will be putting IBM Bob to work as they design and deploy real solutions. Are you ready to build with them? Check out the challenge themes and get started: https://t.co/I92DhkII0a https://t.co/92Mo1AC2cb
- Aug 27, 2026
Give @IBM Bob a structured markdown file and clear instructions, and it can follow a repeatable workflow tailored to your needs. In this tutorial, @alexsotob shows how to create your first skill, refine it over time and adapt it to your own use cases: https://t.co/1JdQCIA6ym https://t.co/K82REra43L
- Aug 18, 2026
One click. 🖱️ That’s all it takes to start building AI agents in watsonx Orchestrate using Bob. Watch Ahmed Azraq go from BRD to five specialized agents in this tutorial. https://t.co/gRHsVRbfLm
- Aug 17, 2026
CPU vs. GPU: Which handles large-scale analytics better? Watch @gethackteam and William Hill put GPU-accelerated Presto to work on a 179-million-row dataset, then learn how to configure the environment yourself: https://t.co/KauTXo50gV https://t.co/WxcLhRrudu
- Jul 28, 2026
Vibe coding gets you moving fast, but you eventually hit a wall of code you no longer fully trust or understand. The fix? Using spec-driven development to balance human ownership, agent autonomy, and project trust. @nheidloff shows you how to do it with @IBM Bob. ⤵️
- Sep 4, 2026
Coding agents can turn a vague idea into working software fast. But what happens when no one has defined what “correct” means? Markus Eisele explores how much specification agentic development actually needs: https://t.co/X6APdp4XRv https://t.co/yKXK2lkVxq
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
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 19 interactions against 122K followers, an engagement rate of 0.016%. Posts are seen about 3.6K times each, and 0.523% of those impressions turn into an interaction. That is about 2.98% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.4 posts a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 14:00 UTC, and Monday is the busiest day of the week. Of the 5 posts sampled, 100% carry an image or video, 20% are part of a thread and 60% link out. The account's strongest tracked post pulled 60 interactions, about 3.2x its own typical post. Recurring topics include #java, #podcast. Only 5 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 IBM Developer's engagement rate on X?
- IBM Developer (@IBMDeveloper) has an engagement rate of 0.016%, based on the median interactions across 5 original posts from the last 30 days against 121,790 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.016%, IBM Developer sits above the 10th percentile of the 156,969 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 @IBMDeveloper have real engagement?
- There is not yet enough sample to rank this account against others of its size.
- When does @IBMDeveloper post?
- Most posts go out around 14:00 UTC, and Monday is its busiest day, at roughly 0.4 posts per day across the measured window.