Stack Overflow engagement report
@StackOverflow - 257K followers on X
Measured over 20 original posts from a 30-day window, last computed on September 25, 2026.
Engagement
A typical post picks up 6 interactions against 257K followers, an engagement rate of 0.002%. Measured over 20 original posts, its engagement rate beats 10% of 20,444 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 4.7K times each, and 0.117% of those impressions turn into an interaction. That is about 1.84% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.67 post a day over the last 30 days, with activity on roughly 57% of days. Most posts go out around 16:00 UTC, and Thursday is the busiest day of the week. Of the 20 posts sampled, 100% carry an image or video and 100% link out. The account's strongest tracked post pulled 77 interactions, about 13x its own typical post. Recurring topics include #ai4, #sponsored, #wearedevs.
Measured over 20 original posts from a 30-day window, last computed on September 25, 2026. Recurring tags: #ai4, #sponsored, #wearedevs.
Compared with accounts its own size
Stack Overflow's engagement rate beats 10% 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 7% 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%, Stack Overflow sits below the 10th percentile of the 204,956 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 | 0.143% |
| 75th percentile | 0.678% |
| 90th percentile | 2.55% |
| 99th percentile | 82.4% |
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 16:00 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.
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 372 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
- Jul 27, 202613x their median
Open access to knowledge has been core to Stack Overflow’s DNA since our founding in 2008. In keeping with our long history of making trusted technical knowledge available to developers and technologists worldwide, we’re proud to join @NVIDIA and many other industry leaders in calling for a strong, open AI ecosystem for all. Accessible, open-weight models expand opportunity, accelerate innovation, increase flexibility, and support safer, more trusted AI through transparency. Whether building a verified knowledge layer for the enterprise or developing the next generation of AI tools, we believe these principles are essential to the security, competitiveness, and long-term success of the ecosystem. Read more from NVIDIA: https://t.co/7JLo57BXwh
- Jul 30, 20267.5x their median
You've spent years building valuable technical knowledge—but it's scattered across PR comments, documents, and code environments. Then your team and AI agents use unverified and stale context, making mistakes at scale. Enter the new Stack Internal platform experience. We're turning scattered context into a living enterprise memory - and it's only the beginning. Learn about the new capabilities of Stack Internal and how we're building the future of trusted knowledge for people, teams, and agents: https://t.co/NsIcp3sMFV
- Sep 18, 20264.3x their median
AI agents spend valuable compute solving complex bugs, only for that knowledge to disappear when the context window wipes clean. Stack Overflow for Agents fixes that. Connect faster than ever with our new ChatGPT plugin, and let your agent tap into a shared exchange to capture, share, and verify solutions—all backed by automated privacy controls and community trust scores. Connect your agent at https://t.co/YwyqFkcOuk
- Jul 21, 20264.0x their median
🎙️ At MS Build, we welcome back Cassidy Williams @cassidoo, Senior Director of Developer Advocacy at @github and former Stack podcast host, to discuss how agentic coding is shifting developer work towards higher-level strategy, why human taste and mentorship are more essential than ever for developer careers, and what to expect from the new GitHub Copilot app. https://t.co/njHp3nbtq4
- Jul 28, 20263.5x their median
It's official—Stack Overflow has entered the agent era. Our VP of Product, Alex Lato, joins Scott Hanselman @shanselman on the @Hanselminutes Podcast to explore Stack Overflow for Agents and how a single prompt bootstraps an agent with all the knowledge and APIs of Stack Overflow. Listen to the full episode here: https://t.co/38BjD1l0of
- Sep 24, 20263.3x their median
It's been three months since we launched our agentic knowledge exchange, Stack Overflow for Agents, and we've learned a lot. And those learnings have helped us make the platform even better! From a new post category to our ChatGPT plugin, we've got the scoop on what's new, what we've learned so far, and where we hope to go with Stack Overflow for Agents. https://t.co/me4OvVvSV4
- Aug 28, 20263.3x their median
🎙️ We chat with Brian Alvey @brianalvey, CTO at @WordPressVIP, about how AI agents are changing the business models of the web, what parts of how we build our sites won’t survive our current digital evolution, and why your site will always need structured content. https://t.co/Q9WuJMXSsA
- Aug 6, 20262.8x their median
Prompts sent, tokens spent, and lines of code generated can seem like good metrics when tracking your AI productivity. But they fail to answer one important question: did your software get any better? Our VP of Product Alex Lato shares with @hackernoon the real cost of only measuring AI productivity, and why engineering leaders should be focusing on outcomes and developer satisfaction instead. https://t.co/lqsAVIucrJ
- Aug 20, 20262.2x their median
AI allows engineering teams to generate more code than they can reasonably review. This creates a real problem that goes beyond just code quality, our Chief Product and Technology Officer Jody Bailey shares with CTO Uncovered, especially when important technical judgement lives solely in the heads of your engineers. The good news? Your technical teams already have the solution, now you just need to document it. https://t.co/6OVGBoUQSa
- Aug 19, 20262.2x their median
While almost every industry uses some AI in their work, fintech (55%) and media and advertising (50%) come out on top when it comes to daily agentic AI usage, with energy (17%) being the industry with the lowest percentage of daily agentic AI users, according to our latest tech survey. Explore more findings from our #StackOverflowKnows survey on AI agents at work: https://t.co/1Uwvu5bhUM
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 6 interactions against 257K followers, an engagement rate of 0.002%. Measured over 20 original posts, its engagement rate beats 10% of 20,444 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 4.7K times each, and 0.117% of those impressions turn into an interaction. That is about 1.84% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.67 post a day over the last 30 days, with activity on roughly 57% of days. Most posts go out around 16:00 UTC, and Thursday is the busiest day of the week. Of the 20 posts sampled, 100% carry an image or video and 100% link out. The account's strongest tracked post pulled 77 interactions, about 13x its own typical post. Recurring topics include #ai4, #sponsored, #wearedevs.
- What is Stack Overflow's engagement rate on X?
- Stack Overflow (@StackOverflow) has an engagement rate of 0.002%, based on the median interactions across 20 original posts from the last 30 days against 256,779 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.002%, Stack Overflow sits below the 10th percentile of the 204,956 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 @StackOverflow have real engagement?
- Its engagement rate beats 10% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the bottom 10% 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 @StackOverflow post?
- Most posts go out around 16:00 UTC, and Thursday is its busiest day, at roughly 0.67 posts per day across the measured window.