GigaOm engagement report
@gigaom - 257K followers on X
Measured over 5 original posts from a 30-day window, last computed on September 25, 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 1 interaction against 257K followers, an engagement rate of 0%. Posts are seen about 915 times each, and 0.109% of those impressions turn into an interaction. That is about 0.356% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.17 posts a day over the last 30 days, though only 17% of days saw any activity at all. Most posts go out around 18:00 UTC, and Tuesday is the busiest day of the week. Of the 5 posts sampled, 100% carry an image or video and 100% link out. The account's strongest tracked post pulled 66 interactions, about 66x its own typical post. 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 September 25, 2026.
Where this sits in the catalog
At under 0.001%, GigaOm sits below the 10th percentile of the 157,102 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 18:00 UTC, and Tuesday 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 | 100% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 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.
- 100% 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 466 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
- Jan 16, 202666x their median
You can buy all the compute in the world, but if your data is siloed and your power grid is tapped out, those H100s are just expensive space heaters. James Brown on why 2026 is the year of the "Infrastructure Tax." https://t.co/V7z7yi8Cyl
- Jan 22, 202646x their median
The biggest bottleneck in AI isn't compute. It's gravity. 📉 Traditional RAG architectures are collapsing under the weight of data migration. The winners of 2026 are "inverting the pyramid"—keeping data in place and bringing intelligence to the edge. The result: 97% lower infra costs and 34% higher success rates. Read how to fix your data strategy: https://t.co/df89U6sBKu
- Feb 5, 202634x their median
Business Disruptions in Tech with Chris Edson of Tenable https://t.co/EsbDlDGlW7
- Jan 21, 202632x their median
If you're still relying on rules and signatures, you've already lost the technical argument. Attackers are using AI to compress attack chains from days to minutes. The only way to compete is to fight at machine speed. Here is how to prepare your architecture for the AI revolution: https://t.co/hjI0YwTA88
- Jan 28, 202630x their median
ITAM sustainability features are up 70% year-over-year. But adoption is uneven. Only a handful of vendors are moving beyond basic tracking to offer real decision support for purchasing and end-of-life cycles. See which tools actually move the needle on your carbon footprint: https://t.co/9icLx4NKcw
- Jan 8, 202626x their median
Prompt injection is like SQL injection’s final boss, except the database now talks back. GigaOm Field CTO & Analyst Chris Ray joins the CISO Series to discuss why there is no magical patch for AI security and why browser extensions are the new corporate espionage vector. Real talk only: https://t.co/QwpcgdTdcF
- Jan 23, 202623x their median
"Data security, without resilience, is just insight without safety." The gap between SecOps and Data Protection is leaving enterprise data dangerously exposed. As AI accelerates data growth, dynamic, real-time backup policies are no longer optional. Paul Stringfellow breaks down the Veeam + Securiti AI acquisition and the future of data defense. Read the latest Analyst Lens: https://t.co/fFFxQCRDje
- Jan 30, 202622x their median
"If you can't trace the data, you can't trust the model." AI is forcing a shift from manual data engineering to operational DataOps. Why? because pipelines built to deliver data "occasionally" break when AI models demand reliability every single day. See how Sovereignty and Lineage are reshaping the stack in 2026: https://t.co/sT4EzlxS3h
- Jan 27, 202619x their median
"What is Endpoint Security?" If that’s your headline, your marketing is already dead. 💀 The internet is drowning in AI-generated beige prose. To survive, you need to stop writing for algorithms and start writing what ChatGPT can't fake: failures, deep analysis, and "dog food" logs. See what actually works in the age of the Dead Internet: 🔗 https://t.co/kP7f5anpRk
- Jan 26, 202619x their median
Studies show 60-70% of engineering time is wasted on alert noise. The solution wasn't "AIOps"—in fact, AIOps made the confusion worse. AIOps is dead as a unified category. 2026 is the year of fragmentation, LLMOps, and autonomous agents. Stop buying the buzzword. Read the 2026 operational forecast from GigaOm’s Whit: https://t.co/j8kdDQNDTe
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 1 interaction against 257K followers, an engagement rate of 0%. Posts are seen about 915 times each, and 0.109% of those impressions turn into an interaction. That is about 0.356% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.17 posts a day over the last 30 days, though only 17% of days saw any activity at all. Most posts go out around 18:00 UTC, and Tuesday is the busiest day of the week. Of the 5 posts sampled, 100% carry an image or video and 100% link out. The account's strongest tracked post pulled 66 interactions, about 66x its own typical post. 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 GigaOm's engagement rate on X?
- GigaOm (@gigaom) has an engagement rate of 0%, based on the median interactions across 5 original posts from the last 30 days against 257,130 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At under 0.001%, GigaOm sits below the 10th percentile of the 157,102 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 @gigaom have real engagement?
- There is not yet enough sample to rank this account against others of its size.
- When does @gigaom post?
- Most posts go out around 18:00 UTC, and Tuesday is its busiest day, at roughly 0.17 posts per day across the measured window.