Fetch.ai engagement report
@Fetch_ai - 264K followers on X
Measured over 43 original posts from a 30-day window, last computed on October 31, 2026.
Engagement
A typical post picks up 374 interactions against 264K followers, an engagement rate of 0.142%. Measured over 43 original posts, its engagement rate beats 65% of 21,624 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 16K times each, and 2.35% of those impressions turn into an interaction. That is about 6.03% 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 almost every day in the window. Most posts go out around 19:00 UTC, and Thursday is the busiest day of the week. Of the 43 posts sampled, 35% carry an image or video and 79% link out. The account's strongest tracked post pulled 2.4K interactions, about 6.4x its own typical post.
Measured over 43 original posts from a 30-day window, last computed on October 31, 2026.
Compared with accounts its own size
Fetch.ai's engagement rate beats 65% of the tracked X accounts closest to it in follower count (21,624 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 67% 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 0.142%, Fetch.ai sits above the 25th percentile of the 218,597 accounts in this comparison. That places it in the below the median band, which runs 0.025% to 0.149%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.025% |
| 50th percentile | 0.149% |
| 75th percentile | 0.705% |
| 90th percentile | 2.63% |
| 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 19:00 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 | 35% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 79% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 35% 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.
- 79% 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 361 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
- Oct 11, 20266.4x their median
3 exciting partnerships coming your way 🔥 All boosting agentic AI utility for everyday tasks. No teases yet. But you can guess. Good luck.
- Oct 27, 20263.4x their median
🚨 https://t.co/jQHISjPvoi is partnering with @cerebral_valley alongside @GoogleDeepMind, @Meta and @MongoDB. Devs, join us for AIE Code Summit 2026 Hackathon 2026 on November 7 and solve frontier AI engineering problems with next-gen https://t.co/jQHISjPvoi’s agentic intelligence. Build. Launch. Search. Discover. Optimise. All within one interoperable ecosystem powered by https://t.co/HQ2Tj9lbnW + https://t.co/HvaFCrre9f. Register here → https://t.co/6VImhHZwVw
- Oct 28, 20262.2x their median
🚨 https://t.co/jQHISjPvoi just launched ASI:Work. An AI desktop app that does the work on your files. Point it at a folder. Describe the job. Approve every step. Come back to finished work. 2 ways to use it: → Work: content, marketing, data, sales prep, ops → Coding: reads your local repo, proposes the change, runs the tests, and shows you every command before it runs Download the ASI:One Desktop app: https://t.co/1S8GRClULY More info: https://t.co/TsJGw72dZl
- Sep 18, 20261.8x their median
E-commerce today: “Here are five products.” Agentic commerce: “Here is the right option. Availability checked. Preferences applied. Next action ready.” We’d rather use the latter.
- Aug 13, 20261.7x their median
🚨 Meet Athena - the deep work mode of ASI:One. Made for tasks that need more than a conversation or a simple answer. Ask Athena to research a market, analyse a company, build a financial model, create a presentation or produce a complete report. Then let it work through the project in its own execution environment. From prompt to expert, in-depth documentation. Watch 👇 Now live on ASI:One. Exclusively available to PRO users.
- Oct 25, 20261.6x their median
https://t.co/CwbPmOiA4m 🤝 your entire stack. → @LangChain: point it at ASI:One → @Google Gemini: run it inside an agent → @nodejs / Next.js: query agents with uagent-client → MCP: give agents live tools → @stripe: let agents take payments Keep your tools. Add the network.
- Oct 12, 20261.6x their median
“But what if an AI agent does something wrong?” That’s why Agents called via https://t.co/HQ2Tj9lbnW do the work - but you make the final call. 1. Tell ASI:One what you need, in plain language 2. Trusted agents handle each part, and you can see who's working 3. Review everything in one place, then approve or adjust Autonomy with a human in the loop.
- Sep 22, 20261.5x their median
You don’t need Duolingo to learn a language. ASI:One can teach you more than months of language apps. Go to https://t.co/yWpWks8Ada and ask your Personal AI to create an episode around the language you’re learning. Then put your headphones in and keep learning on the go.
- Oct 12, 2026
If you’re new to Agentic AI, here’s what you need to know about https://t.co/jQHISjPvoi 👇 1. A person has an intent Your goal might be to: “Find somewhere to stay near this conference that fits my budget.” ↓ 2. ASI:One understands the request (https://t.co/HQ2Tj9lbnW) Your Personal AI becomes the interface between your intent and the wider Agent ecosystem. ↓ 3. Relevant Agents can be discovered https://t.co/HvaFCrre9f marketplace provides the discovery layer where specialist Agents can be registered, found and interacted with. ↓ 4. Agents provide specialist capabilities One might provide business information. Another might search. Another could represent a brand. Another could interact with a service. ↓ 5. The results come back into the experience Instead of manually jumping between multiple tools, the system can coordinate the relevant capabilities around the user's intent to complete the task. For businesses, there's another side to this: You can claim your own brand agent on https://t.co/kKkyZ124j8, so your audience can interact with your brand more easily. That's the clear shift from simply using AI to becoming part of the infrastructure AI can interact with.
- Sep 20, 2026
Following reports of an exploit on 19 September, here is where things stand. > https://t.co/jQHISjQ3dQ contracts are not affected. No https://t.co/jQHISjQ3dQ contract is under threat at this time, and FET continues to operate normally. > The attack is targeting SingularityNET contracts, primarily the SingularityNET Bridge between Ethereum and Cardano chains. The unauthorised mint was carried out through that same route. > AGIX to FET conversions are paused until further notice. Our bridge contract on the Ethereum side has also been paused as a precaution, with no indication of any vulnerability in it. Both will be restored in due course. The investigation is ongoing, and we've contained the exploit. We are working with the @SingularityNET team and will share updates as we have them.
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 374 interactions against 264K followers, an engagement rate of 0.142%. Measured over 43 original posts, its engagement rate beats 65% of 21,624 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 16K times each, and 2.35% of those impressions turn into an interaction. That is about 6.03% 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 almost every day in the window. Most posts go out around 19:00 UTC, and Thursday is the busiest day of the week. Of the 43 posts sampled, 35% carry an image or video and 79% link out. The account's strongest tracked post pulled 2.4K interactions, about 6.4x its own typical post.
- What is Fetch.ai's engagement rate on X?
- Fetch.ai (@Fetch_ai) has an engagement rate of 0.142%, based on the median interactions across 43 original posts from the last 30 days against 263,536 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.142%, Fetch.ai sits above the 25th percentile of the 218,597 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 @Fetch_ai have real engagement?
- Its engagement rate beats 65% of the tracked X accounts closest to it in follower count (21,624 accounts), which puts it in the middle of its size range 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 @Fetch_ai post?
- Most posts go out around 19:00 UTC, and Thursday is its busiest day, at roughly 1.97 posts per day across the measured window.