Anaconda engagement report
@anacondainc - 84K followers on X
Measured over 21 original posts from a 30-day window, last computed on October 3, 2026.
Engagement
A typical post picks up 4 interactions against 84K followers, an engagement rate of 0.005%. Measured over 21 original posts, its engagement rate beats 11% of 15,519 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 1.6K times each, and 0.257% of those impressions turn into an interaction. That is about 1.86% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.77 post a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 20:00 UTC, and Thursday is the busiest day of the week. Of the 21 posts sampled, 90% carry an image or video and 95% link out. The account's strongest tracked post pulled 49 interactions, about 12x its own typical post.
Measured over 21 original posts from a 30-day window, last computed on October 3, 2026.
Compared with accounts its own size
Anaconda's engagement rate beats 11% of the tracked X accounts closest to it in follower count (15,519 accounts, accounts of similar size (decile 6 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 13% 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 0.005%, Anaconda sits above the 10th percentile of the 157,374 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 20:00 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 | 90% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 95% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 90% 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.
- 95% 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 288 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 15, 202612x their median
Anaconda has acquired @kilocode, the open-source coding agent used by 3M+ developers. This further cements Anaconda as the AI-native development platform for the enterprise. Enabling security and governance – without the need to trade off velocity. https://t.co/YObzcwYb63 https://t.co/UX12LJmGDs
- Jul 28, 20264.8x their median
Everyone's fixated on Claude Code vs Codex vs Cursor. But buried in @theinformation's new report is a smaller storyline that matters more long term. In this piece, our co-founder @s_breitenother explains how Kilo, an open-source alternative recently acquired by @anacondainc, is seeing a real jump in enterprise interest and contract size. https://t.co/mdIeexWWgn
- Aug 3, 20264.3x their median
Ever find a #Python package that looks promising, but hesitate to install it just to see what it does? Now, for select packages on https://t.co/kG1EFncVv8, you can run an example directly in your browser with the new "Try This Package" feature. https://t.co/H90XiaYIl9
- Jul 15, 20263.8x their median
Enterprises want to adopt AI-native workflows but lack the visibility to assess whether the benefits outweigh the risks. Anaconda’s acquisition of @kilocode solves this — closing the gap between the AI developers want to use and the AI orgs can trust: https://t.co/YObzcwYb63 https://t.co/bPE8H1iSSs
- Sep 10, 20263.5x their median
Declare dependencies → develop in a browser or VS Code → build the environment into a container → run the same code in the cloud. Watch the full demo of the developer experience in the Anaconda Platform: https://t.co/BStcPGKgHC https://t.co/GEmKY26Cbe
- Jun 30, 20264.3x their median
A century before modern AI, Andrey Markov manually counted 20k letters in a Pushkin poem to show that predictable patterns can emerge from sequences where each item depends on the one before it. The core concept still lives on in today’s LLMs. https://t.co/bI9On2IS2L
- Jul 31, 20263.0x their median
Anaconda has signed the Open Weights and American AI Leadership letter, signed by the likes of NVIDIA, Microsoft, and 230+ organizations. Openness may be one of the most important paths to AI safety and security. Read our statement of support here: https://t.co/F2dpJw5htm https://t.co/MmJXs1aNiE
- Jul 24, 20263.0x their median
Make this your Summer of Shipping with Anaconda ☀️ With @kilocode, Anaconda is bridging the gap from local experimentation to enterprise-ready AI with an open, trusted platform built for the full AI-native development lifecycle: https://t.co/E6cyUx8tSJ https://t.co/BY682cNJBm
- Jul 23, 20262.5x their median
On @TechstrongTV, Anaconda CEO @david_desanto explains why the acquisition of Kilo Code is about much more than adding another coding agent. The goal is to give developers an end-to-end experience. Watch his full conversation with @ashimmy: https://t.co/kIO3Mkz8AS https://t.co/47tByTSyWO
- Jul 21, 20262.5x their median
Last week, we acquired @kilocode. This is just the latest milestone as Anaconda builds an open, model-agnostic, and enterprise-ready platform that supports the full AI-native development lifecycle. Catch up on the news in @UniteAi: https://t.co/TIpkIbdbuU https://t.co/1BgJM7NqXu
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 4 interactions against 84K followers, an engagement rate of 0.005%. Measured over 21 original posts, its engagement rate beats 11% of 15,519 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 1.6K times each, and 0.257% of those impressions turn into an interaction. That is about 1.86% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.77 post a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 20:00 UTC, and Thursday is the busiest day of the week. Of the 21 posts sampled, 90% carry an image or video and 95% link out. The account's strongest tracked post pulled 49 interactions, about 12x its own typical post.
- What is Anaconda's engagement rate on X?
- Anaconda (@anacondainc) has an engagement rate of 0.005%, based on the median interactions across 21 original posts from the last 30 days against 83,649 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.005%, Anaconda sits above the 10th percentile of the 157,374 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 @anacondainc have real engagement?
- Its engagement rate beats 11% of the tracked X accounts closest to it in follower count (15,519 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 @anacondainc post?
- Most posts go out around 20:00 UTC, and Thursday is its busiest day, at roughly 0.77 posts per day across the measured window.