Swan Chain engagement report
@swan_chain - 218K followers on X
Measured over 11 original posts from a 30-day window, last computed on October 2, 2026.
Engagement
A typical post picks up 7 interactions against 218K followers, an engagement rate of 0.003%. Measured over 11 original posts, its engagement rate beats 13% 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 2.1K times each, and 0.332% of those impressions turn into an interaction. That is about 0.964% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.37 posts a day over the last 30 days, though only 37% of days saw any activity at all. Most posts go out around 03:00 UTC, and Monday is the busiest day of the week. Of the 11 posts sampled, 100% carry an image or video and 45% link out. The account's strongest tracked post pulled 15K interactions, about 2141x its own typical post. Recurring topics include #ai, #depin, #gpu.
Measured over 11 original posts from a 30-day window, last computed on October 2, 2026. Recurring tags: #ai, #depin, #gpu.
Compared with accounts its own size
Swan Chain's engagement rate beats 13% 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 19% 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 0.003%, Swan Chain sits below the 10th percentile of the 205,048 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 03:00 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% | 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 | 45% 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.
- 45% 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 538 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
- Dec 3, 20252141x their median
The Fusaka upgrade is today. Ethereum is securely scaling. https://t.co/YaJ5WL4tSc
- Dec 14, 20253.0x their median
Centralized clouds: “Your GPU bill has increased by 40%.” Swan Chain: “Our pricing follows actual market data.” 😌 Fair. Transparent. Decentralized. 🪶 https://t.co/gL6Sh5zZgF
- Mar 12, 20262.3x their median
Swan 2.0 is live on March 16. A full redesign of how Swan works: Market-driven inference marketplace replacing UBI subsidies Tiered model catalog with per-token pricing 95% revenue directly to providers — in stablecoins Pay-with-SWAN for 20% off inference OpenAI-compatible API from day one
- Jan 11, 20262.3x their median
What do you value most in a decentralized compute network? ⚡ Stable demand 💰 Predictable rewards 🔐 Secure workloads 🌍 Global participation Let us know below 👇
- Dec 23, 20252.3x their median
AI workloads need more than raw power — they need reliability. Swan Chain rewards providers based on uptime, stability, and real contribution, not hype or speculation. Decentralized compute, done right. 🌐 https://t.co/gL6Sh5zZgF
- Dec 6, 20252.3x their median
Quarterly Buybacks continue in Q4 — fully transparent, fully on-chain. Every transaction is public. Every action is verifiable. 🪶 Official Buyback Address: 0xeB934764911eFb8c213810e2189F74bBD608A5E6 A stronger, more accountable Swan Chain.
- May 22, 20261.9x their median
⚡ Gemini 3.5 Flash is now available on Swan Inference. Start building with Gemini 3.5 Flash today: https://t.co/MgWLB2xyV1 #AI #LLM #Gemini #Inference #AIAgents #SwanChain #GenerativeAI https://t.co/DkZp6uwODY
- Apr 7, 20261.9x their median
Gemma 4 31B is Online! https://t.co/yaQAOMHrAt https://t.co/tnTJvryQWb
- Nov 18, 20251.6x their median
Swan Chain Q4 Working Plan is now live. This quarter, we’re scaling compute, upgrading incentives, and activating real AI workloads across the network. Q4 focuses on: • Expanding CP/FCP onboarding • Launching our new governance voting system • Extending SwanFi S2 (OP staking +6 months) • Enabling x402 micropayments & secure data transport • Migrating ECPs to full AI inference • Continuing quarterly buybacks (addr below) 📄 Full article: https://t.co/hACfzPLsGW… 🪶 Official Buyback Address: 0xeB934764911eFb8c213810e2189F74bBD608A5E6 Swan Chain is entering its biggest execution phase yet. Let’s build.
- Sep 7, 20261.7x their median
Should inference providers have a minimum payout guarantee? Today, subscription traffic is paid from a shared pool. If usage exceeds subscription revenue, provider payouts are reduced proportionally. That protects the protocol — but leaves providers carrying most of the demand risk. If providers can't predict their yield, network stability suffers. Would a minimum payout floor make decentralized inference more sustainable, or does it shift too much risk back to the network? What's the right balance? What’s your take on this? Share below!
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 7 interactions against 218K followers, an engagement rate of 0.003%. Measured over 11 original posts, its engagement rate beats 13% 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 2.1K times each, and 0.332% of those impressions turn into an interaction. That is about 0.964% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.37 posts a day over the last 30 days, though only 37% of days saw any activity at all. Most posts go out around 03:00 UTC, and Monday is the busiest day of the week. Of the 11 posts sampled, 100% carry an image or video and 45% link out. The account's strongest tracked post pulled 15K interactions, about 2141x its own typical post. Recurring topics include #ai, #depin, #gpu.
- What is Swan Chain's engagement rate on X?
- Swan Chain (@swan_chain) has an engagement rate of 0.003%, based on the median interactions across 11 original posts from the last 30 days against 218,405 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.003%, Swan Chain sits below the 10th percentile of the 205,048 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 @swan_chain have real engagement?
- Its engagement rate beats 13% of the tracked X accounts closest to it in follower count (20,444 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 @swan_chain post?
- Most posts go out around 03:00 UTC, and Monday is its busiest day, at roughly 0.37 posts per day across the measured window.