TalentCulture engagement report
@TalentCulture - 74K followers on X
Measured over 10 original posts from a 30-day window, last computed on October 24, 2026.
Engagement
A typical post picks up 3 interactions against 74K followers, an engagement rate of 0.004%. Posts are seen about 262 times each, and 1.14% of those impressions turn into an interaction. That is about 0.353% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.1 post a day over the last 30 days, though only 37% of days saw any activity at all. Most posts go out around 22:00 UTC, and Friday is the busiest day of the week. Of the 10 posts sampled, 80% carry an image or video, 80% are part of a thread and 10% link out. The account's strongest tracked post pulled 8 interactions, about 2.7x its own typical post. Recurring topics include #hrtech, #hr, #futureofwork.
Measured over 10 original posts from a 30-day window, last computed on October 24, 2026. Recurring tags: #hrtech, #hr, #futureofwork.
Where this sits in the catalog
At 0.004%, TalentCulture sits above the 10th percentile of the 201,449 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.141% |
| 75th percentile | 0.671% |
| 90th percentile | 2.53% |
| 99th percentile | 82.5% |
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 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.
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 | 80% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 10% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | no effect | -2% to -1% | 42K |
- 80% 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.
- 10% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts.
- Its average post runs 221 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
- Sep 8, 20262.7x their median
1/ AI is now in nearly every hiring solution on the market. While AI certainly has benefits, using it without a clear purpose, continuous oversight, and strict governance can cause major problems. So how can employers use AI responsibly? https://t.co/BQnsgTUbQP
- Oct 9, 20262.3x their median
1/ Organizations are losing $8.15B+ every month to manual #HR friction. That’s 40M wasted hours spent on tasks that should have been automated years ago. If your #HRTech stack isn’t actively removing friction, it’s not an investment, it’s expensive noise. 🧵
- Sep 9, 20262.3x their median
1/ When you think about the future leaders in your organization, does a specific person come to mind? Now, ask yourself why you thought of that person. @Workhuman #Workhuman https://t.co/4YYpSfEmtD
- Oct 16, 20261.7x their median
1/3 Employees can finish a training course without learning anything. Completion isn't the same as impact. 🧵 https://t.co/58JnM4mmi2
- Aug 28, 20261.7x their median
If your succession planning rewards visibility, it may be time to update your strategy. On the latest #WorkTrends podcast, @MeghanMBiro and Jason Gori from @Workhuman explore how to use leadership data to improve succession planning and company leadership. 👇 #PaidPartner https://t.co/jFx1AEMTqT
- Aug 27, 20261.7x their median
For a decade, enterprise AI gave recruiters the upper hand. Today, candidates have access to the exact same class of AI, and leverage is shifting fast. Here is why AI in hiring is now symmetric (and what talent leaders must do next) 👇 https://t.co/P6nAa4FkND
- Oct 8, 2026
1/3 Are your performance systems measuring contribution or visibility? Hybrid work didn't create proximity bias, but it has made the problem much harder to ignore. 🧵 https://t.co/Vo96RZ5lSS
- Aug 25, 2026
1/4 Resilience training won’t fix a #workplace designed for overwork. Why? Because #burnout isn’t a personal coping failure; it’s a system design failure. 🧵 Full article here: https://t.co/7E2BRlcEI1 https://t.co/xtJMFeiDzJ
- Oct 14, 2026
1/ Your employer brand still makes an impact after someone accepts an offer. What new hires see on LinkedIn before day one can shape their expectations of your culture. 🧵 https://t.co/4tj56yzKHE
- Oct 6, 2026
1/2 Want better quality candidates? Starting evaluations at screening may be too late. The best hiring outcomes start from the source. 🧵 With #PaidPartner @12twentyInc https://t.co/0Nzk4MoY09
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 3 interactions against 74K followers, an engagement rate of 0.004%. Posts are seen about 262 times each, and 1.14% of those impressions turn into an interaction. That is about 0.353% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.1 post a day over the last 30 days, though only 37% of days saw any activity at all. Most posts go out around 22:00 UTC, and Friday is the busiest day of the week. Of the 10 posts sampled, 80% carry an image or video, 80% are part of a thread and 10% link out. The account's strongest tracked post pulled 8 interactions, about 2.7x its own typical post. Recurring topics include #hrtech, #hr, #futureofwork.
- What is TalentCulture's engagement rate on X?
- TalentCulture (@TalentCulture) has an engagement rate of 0.004%, based on the median interactions across 10 original posts from the last 30 days against 74,175 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.004%, TalentCulture sits above the 10th percentile of the 201,449 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 @TalentCulture have real engagement?
- There is not yet enough sample to rank this account against others of its size.
- When does @TalentCulture post?
- Most posts go out around 22:00 UTC, and Friday is its busiest day, at roughly 1.07 posts per day across the measured window.