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Billions Network engagement report

@billions_ntwk - 475K followers on X

Measured over 6 original posts from a 30-day window, last computed on October 20, 2026.

Engagement

Per follower
0.23%
of 475K followers
Per impression
5.23%
21K views on a typical post
Reach
4.40%
of its followers see a post
Typical post
1.1K
interactions (median)
Saved
0.021%
4 bookmarks on a typical post
Posting rate
0.5/day
active 33% of days
Peak time
08:00 UTC
Thursday

Early reading. We have captured 6 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 1.1K interactions against 475K followers, an engagement rate of 0.23%. Posts are seen about 21K times each, and 5.23% of those impressions turn into an interaction. That is about 4.41% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.5 post a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 08:00 UTC, and Thursday is the busiest day of the week. Of the 6 posts sampled, 17% carry an image or video and 83% link out. The account's strongest tracked post pulled 1.5K interactions. Only 6 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 6 original posts from a 30-day window, last computed on October 20, 2026.

Where this sits in the catalog

At 0.23%, Billions Network sits above the 50th percentile of the 204,694 accounts in this comparison. That places it in the above the median band, which runs 0.143% to 0.677%.

p100.004%
p250.024%
p50 (median)0.143%
p750.677%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,694 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,880 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 percentile0.677%
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 08:00 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.

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: 08:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 08:00 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: Thursday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Thursday
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 video17% of posts+111%+108% to +115%34K
Outbound link83% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 17% 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.
  • 83% 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 286 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

  • Sep 24, 2026

    The UK “sovereignty” debate is really a replaceability debate… and AI agents will force the same question. https://t.co/kA1XNTaWnE

    423504576320K viewsView on X
  • Sep 29, 2026

    You hand your card to a waiter and you know who has it. Agentic payments ask you to skip that part: who paid? https://t.co/quWSK8bz4R

    306408469521K viewsView on X
  • Oct 1, 2026

    The real risk in AI agentic commerce isn't the stolen $320M that made headlines last month. The blockchain money is traceable and probably coming back. But the 67,000 Trezor hardware wallet customers whose home addresses leaked through a shipping vendor stay public forever. “A stolen coin can be returned, a leaked identity cannot,” says our CEO Evin McMullen on @CoinDesk. A leak is worse than a hack. Now we're about to hand the same data-hoarding architecture to billions of AI agents. The fix already exists, we're just not using it. https://t.co/zJrR64oACn

    293383431220K viewsView on X
  • Oct 8, 2026

    Before your AI agent spends your money, two things matter: are the facts real, and is the agent really yours? @Verona_dev verifies the facts. Billions links the agent to a verified human. Here’s how to set up your OpenClaw agent in under 3 minutes. https://t.co/SUA6ZgBjDr

    354302420530K viewsView on X
  • Oct 10, 2026

    Our APAC & Ecosystem Lead @luluciaciao joined the AI Builders Day panel in Shanghai on where the biggest opportunities are for builders in the AI era, alongside @monad and @SentientAGI. She also introduced Billions Network and what we're building: proving that behind every AI agent there is a real, accountable human, without exposing that person's underlying personal information.

    151239244316K viewsView on X
  • Oct 16, 2026

    Your AI agent can already spend your money. It just can't prove who's behind it. Our CPO Sebastian Rodriguez on the one thing the internet still can't do, and why it's the hardest problem in agentic commerce. https://t.co/nyd4nBQqfz

    123215237322K viewsView on X
  • Jul 3, 20262.3x their median

    https://t.co/NETyZT7RCg

    13180431097K viewsView on X
  • Jun 19, 20262.3x their median

    https://t.co/1h8bQ7N0nl

    1075142646K viewsView on X
  • Aug 21, 2026

    We are a global network of 2,500,000+ humans, agents, researchers and Al nerds. Since 2019, we’ve been on a mission to save the internet in the age of AI, building identity and payment infrastructure trusted by some of the biggest names in finance and tech. Now we're building the trusted commerce layer for Al agents. Join the agentic future https://t.co/bqLBNl0rU5

    1084843227K viewsView on X
  • Aug 13, 2026

    We’re excited to build PriFi, enabling the new stablecoin-fueled financial system while offering practical privacy for all businesses that need it. https://t.co/QZ55aGWUd7

    12022271941K 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 1.1K interactions against 475K followers, an engagement rate of 0.23%. Posts are seen about 21K times each, and 5.23% of those impressions turn into an interaction. That is about 4.41% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.5 post a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 08:00 UTC, and Thursday is the busiest day of the week. Of the 6 posts sampled, 17% carry an image or video and 83% link out. The account's strongest tracked post pulled 1.5K interactions. Only 6 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 Billions Network's engagement rate on X?
Billions Network (@billions_ntwk) has an engagement rate of 0.23%, based on the median interactions across 6 original posts from the last 30 days against 474,859 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.23%, Billions Network sits above the 50th percentile of the 204,694 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 @billions_ntwk have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @billions_ntwk post?
Most posts go out around 08:00 UTC, and Thursday is its busiest day, at roughly 0.5 posts per day across the measured window.

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