VentureBeat engagement report
@VentureBeat - 686K followers on X
Measured over 59 original posts from a 30-day window, last computed on August 25, 2026.
Engagement
A typical post picks up 13 interactions against 686K followers, an engagement rate of 0.002%. Measured over 59 original posts, its engagement rate beats 15% of 3,774 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 6.5K times each, and 0.199% of those impressions turn into an interaction. That is about 0.951% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 posts a day over the last 30 days, with activity on roughly 57% of days. Most posts go out around 13:00 UTC, and Monday is the busiest day of the week. Of the 59 posts sampled, 8% carry an image or video and 100% link out. The account's strongest tracked post pulled 42 interactions, about 3.2x its own typical post. Recurring topics include #ai, #genai, #generativeai.
Measured over 59 original posts from a 30-day window, last computed on August 25, 2026. Recurring tags: #ai, #genai, #generativeai.
Compared with accounts its own size
VentureBeat's engagement rate beats 15% of the tracked X accounts closest to it in follower count (3,774 accounts, accounts of similar size (decile 8 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 16% 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 0.002%, VentureBeat sits above the 10th percentile of the 36,378 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.012%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.012% |
| 50th percentile | 0.08% |
| 75th percentile | 0.432% |
| 90th percentile | 2.10% |
| 99th percentile | 161.0% |
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 13:00 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% | 50K |
| 01:00 UTC | -2% | 51K |
| 02:00 UTC | -3% | 50K |
| 03:00 UTC | -4% | 53K |
| 04:00 UTC | -6% | 43K |
| 05:00 UTC | -4% | 42K |
| 06:00 UTC | -4% | 48K |
| 07:00 UTC | -5% | 52K |
| 08:00 UTC | -4% | 60K |
| 09:00 UTC | -3% | 69K |
| 10:00 UTC | -2% | 72K |
| 11:00 UTC | -3% | 78K |
| 12:00 UTC | -2% | 86K |
| 13:00 UTC | -2% | 94K |
| 14:00 UTC | -4% | 97K |
| 15:00 UTC | -2% | 100K |
| 16:00 UTC | -3% | 97K |
| 17:00 UTC | -2% | 90K |
| 18:00 UTC | -1% | 84K |
| 19:00 UTC | -2% | 79K |
| 20:00 UTC | -1% | 74K |
| 21:00 UTC | -1% | 66K |
| 22:00 UTC | -2% | 57K |
| 23:00 UTC | -2% | 51K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +4% | 230K |
| Monday | 0% | 286K |
| Tuesday | -2% | 276K |
| Wednesday | -1% | 251K |
| Thursday | -1% | 244K |
| Friday | -3% | 252K |
| Saturday | +3% | 227K |
Best tweets
- Aug 23, 20263.2x their median
Enterprise AI agents are only as reliable as the messiest documents behind them https://t.co/76sdHUwShy
- Aug 18, 20263.2x their median
Qwen3.8-27B runs frontier-class coding agents and reasoning locally, no cloud API required https://t.co/mIXGB1oItx
- Aug 13, 20262.6x their median
Anthropic put 3 Claude agents on one server with conflicting orders. No attacker. They sabotaged each other, disguised malware as a rival's work, and didn't tell users. https://t.co/P6C1JveujF
- Aug 22, 20262.5x their median
Enterprises winning with AI agents are limiting how much the agents can do alone https://t.co/hYcopCb5eL
- Aug 17, 20262.5x their median
Cursor launches Origin code hosting platform as GitHub outage exposes opening in AI coding race https://t.co/6p6TKAsy6q
- Aug 21, 20262.1x their median
Turns out you don't need deep learning to fix AI's model-swapping problem — just linear algebra. Nvidia's technique is up to 25x faster than recomputing from scratch. https://t.co/P6JPqdtIqi
- Aug 20, 20262.0x their median
NanoClaw comes to Slack, letting you create persistent AI agent teams and colleagues from a single message https://t.co/RQj08MvMvZ
- Aug 17, 20262.0x their median
A compound AI system looked like it was getting smarter. It had actually just learned to cheat. https://t.co/PNaRdD12dd
- Aug 7, 20261.7x their median
AI agents can already find the right answer — they just can't always share it before the team locks in the wrong one. New research shows fixing that nearly doubles accuracy. https://t.co/qyFy10UzLX
- Aug 16, 20261.5x their median
Cutting RAG inference costs 6x starts with deciding what never reaches the LLM https://t.co/zw8agGgdFa
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 13 interactions against 686K followers, an engagement rate of 0.002%. Measured over 59 original posts, its engagement rate beats 15% of 3,774 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 6.5K times each, and 0.199% of those impressions turn into an interaction. That is about 0.951% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 posts a day over the last 30 days, with activity on roughly 57% of days. Most posts go out around 13:00 UTC, and Monday is the busiest day of the week. Of the 59 posts sampled, 8% carry an image or video and 100% link out. The account's strongest tracked post pulled 42 interactions, about 3.2x its own typical post. Recurring topics include #ai, #genai, #generativeai.
- What is VentureBeat's engagement rate on X?
- VentureBeat (@VentureBeat) has an engagement rate of 0.002%, based on the median interactions across 59 original posts from the last 30 days against 686,175 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.002%, VentureBeat sits above the 10th percentile of the 36,378 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 @VentureBeat have real engagement?
- Its engagement rate beats 15% of the tracked X accounts closest to it in follower count (3,774 accounts), which puts it in the bottom quarter for its size 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 @VentureBeat post?
- Most posts go out around 13:00 UTC, and Monday is its busiest day, at roughly 1.97 posts per day across the measured window.