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Pyth Network ๐Ÿ”ฎ engagement report

@PythNetwork - 285K followers on X

Measured over 25 original posts from a 30-day window, last computed on September 6, 2026.

Engagement

Middle of its size range
Per follower
0.065%
of 285K followers
Per impression
1.23%
15K views on a typical post
Reach
5.29%
of its followers see a post
Typical post
185
interactions (median)
Saved
0.02%
3 bookmarks on a typical post
Posting rate
2.4/day
active 57% of days
Peak time
14:00 UTC
Friday

A typical post picks up 185 interactions against 285K followers, an engagement rate of 0.065%. Measured over 25 original posts, its engagement rate beats 54% of 6,874 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 15K times each, and 1.23% of those impressions turn into an interaction. That is about 5.29% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.4 posts a day over the last 30 days, with activity on roughly 57% of days. Most posts go out around 14:00 UTC, and Friday is the busiest day of the week. Of the 25 posts sampled, 76% carry an image or video, 28% are part of a thread and 20% link out. The account's strongest tracked post pulled 365 interactions, about 2.0x its own typical post.

Measured over 25 original posts from a 30-day window, last computed on September 6, 2026.

Compared with accounts its own size

Pyth Network ๐Ÿ”ฎ's engagement rate beats 54% of the tracked X accounts closest to it in follower count (6,874 accounts, accounts of similar size (decile 7 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 52% 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 0.065%, Pyth Network ๐Ÿ”ฎ sits above the 25th percentile of the 66,258 accounts in this comparison. That places it in the below the median band, which runs 0.016% to 0.1%.

p100.002%
p250.016%
p50 (median)0.1%
p750.499%
p902.09%
p99119.6%
Engagement rate as a share of followers, across the 66,258 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 56,968 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 percentile0.002%
25th percentile0.016%
50th percentile0.1%
75th percentile0.499%
90th percentile2.09%
99th percentile119.6%

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 14:00 UTC, and Friday 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: 14:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 14:00 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: Friday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Friday
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 video76% of posts+111%+108% to +115%34K
Outbound link20% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 76% 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.
  • 20% 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 199 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

  • Aug 26, 20262.0x their median

    https://t.co/i9rSRIGJYj

    29340181496K viewsView on X
  • Aug 17, 20261.7x their median

    https://t.co/lGtbWSU3CH

    22136301970K viewsView on X
  • Aug 25, 2026

    pyth looks good. ๐Ÿ“ธ August's RWA perp volume https://t.co/Ofm1VSPGUe

    18222281824K viewsView on X
  • Sep 4, 2026

    The oracle narrative undersells what $PYTH is building... Just in August $2.9M in gross new ARR and overall ARR past $10.4M. Bloomberg charges institutions for price data too ๐Ÿ‘€ https://t.co/6vzHPswebY

    1424039829K viewsView on X
  • Aug 14, 2026

    More of the worldโ€™s markets are now on Pyth Pro: - Expanded US equities & ETFs - Additional Hong Kong equity coverage - New 24/7 Pyth Indices - More commodity futures - 24/7 FX & NAV coverage One subscription. One API ๐ŸŒ https://t.co/qwKpEMZ4NJ

    17024201416K viewsView on X
  • Aug 28, 2026

    More of the worldโ€™s markets have landed on Pyth Pro: - Expanded US equities & ETFs - More Hong Kong equity coverage - New Pyth Indices - Additional commodity futures & metals - Expanded 24/7 crypto coverage One subscription. Built for markets around the clock ๐ŸŒ https://t.co/OodTskRWQA

    15418301316K viewsView on X
  • Aug 19, 2026

    The first half of August saw $420B in RWA perp volume. Up 66% versus the same period in July. That is $404B powered by Pyth. https://t.co/UsDjrFEy97

    15721181320K viewsView on X
  • Aug 19, 2026

    Proof of Pyth: How @Polymarket Builds Trust in Prediction Markets with Pyth Pro ๐ŸŒ When millions can hinge on a single price, participants need confidence in the data behind the outcome. Hereโ€™s how Pyth Pro helps ๐Ÿ‘‡ https://t.co/5HUwLBDJLm

    1711810717K viewsView on X
  • Aug 31, 2026

    Proof of Pyth: How Fenics Market Data Extends Institutional OTC Pricing Through Pyth Some of the most important price discovery in fixed income happens off-exchange. But accessing that data is another story. Hereโ€™s where Pyth comes into play ๐Ÿ‘‡ https://t.co/CUpZRVCW50

    1562514612K viewsView on X
  • Sep 3, 2026

    Sibos days are busy. The best conversations usually happen after. Pyth is hosting an Executive Markets Dinner in Miami, bringing together leaders across markets, data, and financial infrastructure. September 30. See you at the table ๐Ÿฅ‚ https://t.co/QLRlKImzLN

    1562115611K 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 185 interactions against 285K followers, an engagement rate of 0.065%. Measured over 25 original posts, its engagement rate beats 54% of 6,874 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 15K times each, and 1.23% of those impressions turn into an interaction. That is about 5.29% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.4 posts a day over the last 30 days, with activity on roughly 57% of days. Most posts go out around 14:00 UTC, and Friday is the busiest day of the week. Of the 25 posts sampled, 76% carry an image or video, 28% are part of a thread and 20% link out. The account's strongest tracked post pulled 365 interactions, about 2.0x its own typical post.

What is Pyth Network ๐Ÿ”ฎ's engagement rate on X?
Pyth Network ๐Ÿ”ฎ (@PythNetwork) has an engagement rate of 0.065%, based on the median interactions across 25 original posts from the last 30 days against 285,120 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.065%, Pyth Network ๐Ÿ”ฎ sits above the 25th percentile of the 66,258 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 @PythNetwork have real engagement?
Its engagement rate beats 54% of the tracked X accounts closest to it in follower count (6,874 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 @PythNetwork post?
Most posts go out around 14:00 UTC, and Friday is its busiest day, at roughly 2.4 posts per day across the measured window.

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