Mango Network engagement report
@MangoOS_Network - 381K followers on X
Measured over 11 original posts from a 30-day window, last computed on September 1, 2026.
Engagement
A typical post picks up 25 interactions against 381K followers, an engagement rate of 0.006%. Measured over 11 original posts, its engagement rate beats 15% of 3,792 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 8.0K times each, and 0.314% of those impressions turn into an interaction. That is about 2.09% 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 07:00 UTC, and Monday is the busiest day of the week. Of the 11 posts sampled, 64% carry an image or video. The account's strongest tracked post pulled 3.1K interactions, about 125x its own typical post.
Measured over 11 original posts from a 30-day window, last computed on September 1, 2026.
Compared with accounts its own size
Mango Network's engagement rate beats 15% of the tracked X accounts closest to it in follower count (3,792 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 17% 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 0.006%, Mango Network sits above the 10th percentile of the 36,759 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.012%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.012% |
| 50th percentile | 0.08% |
| 75th percentile | 0.434% |
| 90th percentile | 2.10% |
| 99th percentile | 160.4% |
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 07:00 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% | 51K |
| 01:00 UTC | -2% | 52K |
| 02:00 UTC | -3% | 50K |
| 03:00 UTC | -4% | 54K |
| 04:00 UTC | -6% | 43K |
| 05:00 UTC | -4% | 42K |
| 06:00 UTC | -4% | 48K |
| 07:00 UTC | -5% | 52K |
| 08:00 UTC | -4% | 61K |
| 09:00 UTC | -3% | 70K |
| 10:00 UTC | -2% | 72K |
| 11:00 UTC | -3% | 79K |
| 12:00 UTC | -2% | 87K |
| 13:00 UTC | -3% | 95K |
| 14:00 UTC | -4% | 98K |
| 15:00 UTC | -2% | 101K |
| 16:00 UTC | -4% | 99K |
| 17:00 UTC | -2% | 91K |
| 18:00 UTC | -1% | 85K |
| 19:00 UTC | -1% | 80K |
| 20:00 UTC | -1% | 75K |
| 21:00 UTC | -1% | 66K |
| 22:00 UTC | -2% | 58K |
| 23:00 UTC | -2% | 52K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +4% | 232K |
| Monday | 0% | 290K |
| Tuesday | -2% | 281K |
| Wednesday | -1% | 252K |
| Thursday | -2% | 245K |
| Friday | -3% | 254K |
| Saturday | +3% | 228K |
Best tweets
- May 20, 2026125x their median
Happy #BitcoinPizzaDay! 🍕 16 years ago, 10,000 BTC bought 2 pizzas. Today, we are celebrating this legendary day with a special treat! @MangoOS_Network x @BeingDexOS are cooking up something big. We are giving away $200 value of $MGO to celebrate with our community! How to win? 1️⃣ Follow @MangoNetwork & @BeingDEX 2️⃣ Like & RT this tweet 3️⃣ Comment below with your bold prediction: "What will be the trend of $BTC in the second half of 2026?" Deadline: May 22nd Let’s honor the real asset evolution from a pizza to the Omnichain future! #MangoNetwork #BeingDEX #Giveaway
- Jun 29, 202613x their median
The onchain world is moving from scattered tools to connected experiences. Mango Network is building a network layer designed to bring users, builders, liquidity, and applications closer together. Less friction. More coordination. A stronger base for the next wave of Web3. https://t.co/w8e4L6t5oN
- Jun 24, 202611x their median
The next wave of onchain adoption needs more than infrastructure. It needs an operating layer where users, builders, liquidity, and applications can connect with less friction. MangoOS Network is building toward that future. A smoother network experience. A stronger foundation for what comes next.
- Jul 27, 202610x their median
For builders, the chain should not decide the size of the idea. For users, moving across ecosystems should not feel like learning Web3 from zero every time. This is why infrastructure matters. @MangoOS_Network is building Multi-VM Omni-Chain infrastructure to make different execution environments work closer together, from MoveVM to EVM. Less fragmentation for users. More flexibility for builders. A stronger base for the next generation of onchain apps.
- Aug 3, 202610x their median
The problem is not a lack of chains. It is fragmentation. Stablecoins, tokenized assets, DeFi apps, and cross-chain liquidity all need infrastructure that can connect different execution environments without making users carry the complexity. Less friction underneath. Better products on top.
- Aug 6, 202610x their median
The problem is not that Web3 lacks chains. The problem is that users and builders still deal with too much fragmentation. Stablecoins, tokenized assets, and cross-chain liquidity all need infrastructure that connects execution environments without adding more complexity. Built for products that need to work across ecosystems.
- Jul 30, 202610.0x their median
Web3 is getting more real, but also more complex. Tokenized assets are moving from pilots to live markets. Stablecoins are becoming settlement infrastructure. AI-driven apps need faster and safer execution. Users still face fragmented chains, wallets, liquidity, and developer environments. That is the gap infrastructure needs to close. The next Web3 cycle will not be defined by one chain. It will be defined by how well everything connects.
- Aug 13, 20269.5x their median
Official data, tokenized assets, stablecoin flows, cross-chain apps. These are real Web3 use cases, but they still run into the same problem: fragmentation. @MangoOS_Network is building Multi-VM Omni-Chain infrastructure with OPStack, Move security, and EVM + MoveVM support. Less complexity underneath. More usable products on top.
- Aug 11, 20269.4x their median
Official data is moving onchain. Institutional assets are being tokenized. Stablecoins and onchain derivatives keep proving real demand. But Web3 still feels fragmented underneath. @MangoOS_Network is building Multi-VM Omni-Chain infrastructure with OPStack, Move security, and EVM + MoveVM support. Less chain complexity. More room for real products.
- May 11, 20267.8x their median
The future isn't just cross-chain; it's Omni-chain. @MangoOS_Network is tearing down the siloed legacy of crypto. ✅ OP Stack for hyper-scalability ✅ MoveVM for asset-centric security ✅ Multi-VM for total EVM & Move compatibility Don’t stay locked in. Roam free with Mango OS.
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 25 interactions against 381K followers, an engagement rate of 0.006%. Measured over 11 original posts, its engagement rate beats 15% of 3,792 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 8.0K times each, and 0.314% of those impressions turn into an interaction. That is about 2.09% 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 07:00 UTC, and Monday is the busiest day of the week. Of the 11 posts sampled, 64% carry an image or video. The account's strongest tracked post pulled 3.1K interactions, about 125x its own typical post.
- What is Mango Network's engagement rate on X?
- Mango Network (@MangoOS_Network) has an engagement rate of 0.006%, based on the median interactions across 11 original posts from the last 30 days against 381,308 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.006%, Mango Network sits above the 10th percentile of the 36,759 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 @MangoOS_Network have real engagement?
- Its engagement rate beats 15% of the tracked X accounts closest to it in follower count (3,792 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 @MangoOS_Network post?
- Most posts go out around 07:00 UTC, and Monday is its busiest day, at roughly 0.37 posts per day across the measured window.