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Rivalz Network engagement report

@Rivalz_AI - 303K followers on X

Measured over 2 original posts from a 30-day window, last computed on October 15, 2026.

Engagement

Per follower
0.009%
of 303K followers
Per impression
0.588%
4.5K views on a typical post
Reach
1.49%
of its followers see a post
Typical post
26
interactions (median)
Saved
0.011%
0 bookmarks on a typical post
Posting rate
0.07/day
active 7% of days
Peak time
13:00 UTC
Tuesday

Early reading. We have captured 2 original posts for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.

A typical post picks up 26 interactions against 303K followers, an engagement rate of 0.009%. Posts are seen about 4.5K times each, and 0.588% of those impressions turn into an interaction. That is about 1.49% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.07 posts a day over the last 30 days, though only 7% of days saw any activity at all. Most posts go out around 13:00 UTC, and Tuesday is the busiest day of the week. Of the 2 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 960 interactions, about 37x its own typical post. Only 2 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

Measured over 2 original posts from a 30-day window, last computed on October 15, 2026.

Where this sits in the catalog

At 0.009%, Rivalz Network sits above the 10th percentile of the 205,048 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 205,048 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,894 times apart and a linear axis would flatten everything below the median into a single point.
Show the percentile table
Engagement rate percentiles
PercentileEngagement rate
10th percentile0.004%
25th percentile0.024%
50th percentile0.143%
75th percentile0.678%
90th percentile2.55%
99th percentile82.4%

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 13:00 UTC, and Tuesday 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.

Engagement by hour posted, UTCTwenty-four bars, one per UTC hour. Each bar shows how posts published in that hour compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest hour: 13:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 13:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
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 UTC0%116K
22:00 UTC-2%100K
23:00 UTC-1%90K
Engagement by day of weekSeven bars, one per weekday, Sunday first. Each bar shows how posts published on that day compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest day: Tuesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Tuesday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%393K
Monday+1%483K
Tuesday-2%520K
Wednesday-3%472K
Thursday-2%430K
Friday-3%447K
Saturday+2%393K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

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.

This account's posting mix compared with catalog-wide effects
FormatThis accountCatalog effect95% intervalAccounts behind it
Image or video100% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 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.
  • 0% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts.
  • Its average post runs 251 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.

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

  • Mar 18, 202637x their median

    One engine. 9 AI Agents. 7 networks. Since December, MOZAI has been in constant expansion: @base • @avax • @HyperliquidX • @BNBCHAIN • @0xPolygon • @Optimism • @plumenetwork All networks running stablecoin agents & 1 ETH agent on Base. We’re already working on a new type of agent, designed to expand MOZAI’s capabilities.

    23331141606.2K viewsView on X
  • Jan 16, 20265.2x their median

    These past few days, MOZAI detected APY shifts and automatically repositioned funds to keep yield optimized. No manual moves. No guesswork. Just agents doing their job. https://t.co/6Ygdb6f2zS

    28106114.1K viewsView on X
  • Jan 19, 20263.2x their median

    DeFi was never meant to be a full-time job… You decide the goals and strategy. MOZAI agents handle execution, block by block. https://t.co/eFnsKsm4cI

    2653303.8K viewsView on X
  • Jan 23, 20263.1x their median

    You don’t have to bet the farm to try MOZAI. Start with an amount you’re comfortable with, watch how agents move between the pre approved protocols on Base and see the flow of USDC & ETH for yourself. Judge the system by its behavior, not by the pitch. https://t.co/8EEvsoNtw5

    2455104.0K viewsView on X
  • Apr 13, 20262.1x their median

    A new week starts, but the work never stops. More agents are on the way, with more token options. Coming soon to MOZAI. https://t.co/kexWFEDMMI

    3651404.6K viewsView on X
  • Jan 27, 20262.1x their median

    DeFi was never about just finding yield. It was about constantly managing it. MOZAI changes the mode of operation: you define the strategy once and agents execute it continuously within clear boundaries. This is what DeFAI is meant to feel like. https://t.co/qWzwUmc1RM

    2231204.1K viewsView on X
  • Jan 21, 20261.9x their median

    Each MOZAI agent comes with a dedicated smart wallet per member. That agent routes capital across Compound, Aave, Fluid and Morpho. It is constantly searching for the best opportunities so you can end up with more USDC or ETH than you started with. https://t.co/PrAXg54acj

    1732103.4K viewsView on X
  • May 21, 20261.8x their median

    https://t.co/7z4yEW1Jib

    358417.2K viewsView on X
  • Aug 5, 20261.8x their median

    Two investors started with the same goal. The first chose a vault. It was a good choice... for that day. The second chose MOZAI. Instead of relying on a single vault, an AI agent continuously evaluated multiple markets and adapting as new opportunities emerged. Weeks later, the difference became clear. While one strategy stayed the same, the other kept adapting. Because in DeFi, opportunities do not stand still. That is the difference. One chose a vault. The other chose an intelligent system that never stopped looking. The goal is not to find a good vault. The goal is to never stop looking for a better one.

    3010607.5K viewsView on X
  • Jun 1, 20261.7x their median

    LP agents that only react to markets will always be a step behind. We integrated @AlloraNetwork so MOZAI agents can use predictive market intelligence when managing positions, not just react. That's the difference between automation and intelligence. Welcome to a new phase in DeFAI 👇 https://t.co/v8QzEx1BFG

    338136.7K viewsView on X

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 26 interactions against 303K followers, an engagement rate of 0.009%. Posts are seen about 4.5K times each, and 0.588% of those impressions turn into an interaction. That is about 1.49% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.07 posts a day over the last 30 days, though only 7% of days saw any activity at all. Most posts go out around 13:00 UTC, and Tuesday is the busiest day of the week. Of the 2 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 960 interactions, about 37x its own typical post. Only 2 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

What is Rivalz Network's engagement rate on X?
Rivalz Network (@Rivalz_AI) has an engagement rate of 0.009%, based on the median interactions across 2 original posts from the last 30 days against 302,587 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.009%, Rivalz Network sits above 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 @Rivalz_AI have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @Rivalz_AI post?
Most posts go out around 13:00 UTC, and Tuesday is its busiest day, at roughly 0.07 posts per day across the measured window.

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