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Pi Network engagement report

@PiCoreTeam - 4.3M followers on X

Measured over 11 original posts from a 30-day window, last computed on August 23, 2026.

Engagement

Top 10% for its size
Per follower
0.193%
of 4.3M followers
Per impression
1.99%
414K views on a typical post
Reach
9.72%
of its followers see a post
Typical post
8.2K
interactions (median)
Saved
0.025%
102 bookmarks on a typical post
Posting rate
0.4/day
active 37% of days
Peak time
14:00 UTC
Friday

A typical post picks up 8.2K interactions against 4.3M followers, an engagement rate of 0.193%. Measured over 11 original posts, its engagement rate beats 97% of 1,003 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 414K times each, and 1.99% of those impressions turn into an interaction. That is about 9.72% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.4 posts a day over the last 30 days, though only 37% of days saw any activity at all. Most posts go out around 14:00 UTC, and Friday is the busiest day of the week. Of the 11 posts sampled, 55% carry an image or video and 55% link out. The account's strongest tracked post pulled 143K interactions, about 17x its own typical post.

Measured over 11 original posts from a 30-day window, last computed on August 23, 2026.

Compared with accounts its own size

Pi Network's engagement rate beats 97% of the tracked X accounts closest to it in follower count (1,003 accounts, accounts of similar size (decile 10 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 81% 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 0.193%, Pi Network sits above the 50th percentile of the 10,326 accounts in this comparison. That places it in the above the median band, which runs 0.048% to 0.321%.

p100.001%
p250.007%
p50 (median)0.048%
p750.321%
p902.48%
p99354.0%
Engagement rate as a share of followers, across the 10,326 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 442,521 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 percentile0.001%
25th percentile0.007%
50th percentile0.048%
75th percentile0.321%
90th percentile2.48%
99th percentile354.0%

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 96%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 UTC0%15K
01:00 UTC+4%15K
02:00 UTC-1%14K
03:00 UTC-2%15K
04:00 UTC-5%12K
05:00 UTC-5%12K
06:00 UTC-7%13K
07:00 UTC-6%14K
08:00 UTC-7%17K
09:00 UTC-2%19K
10:00 UTC-2%20K
11:00 UTC-2%22K
12:00 UTC-1%24K
13:00 UTC+1%27K
14:00 UTC-2%29K
15:00 UTC-1%30K
16:00 UTC-1%30K
17:00 UTC-1%28K
18:00 UTC+1%25K
19:00 UTC0%24K
20:00 UTC0%22K
21:00 UTC+1%19K
22:00 UTC+1%17K
23:00 UTC+1%15K
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 96%Busiest day: Friday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+8%59K
Monday+8%72K
Tuesday+1%94K
Wednesday-4%78K
Thursday-3%71K
Friday-5%73K
Saturday+2%64K
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 video55% of posts+79%+73% to +85%5.8K
Outbound link55% of posts-49%-50% to -47%6.1K
Typical length-+13%+10% to +15%6.4K
  • 55% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 79% above the same accounts' other posts.
  • 55% of its posts carry a link off X. Across the catalog, posts with an outbound link run 49% 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 574 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 13% 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

  • Feb 20, 202517x their median

    Open Network has officially launched, marking a groundbreaking moment for all Pioneers! With external connectivity now enabled, Pioneers can engage in transactions beyond the Pi ecosystem, connect with KYB-verified businesses, and access new integrations like centralized exchanges. Want to explore all the new possibilities? Go to the Pi mining app home screen to watch a video from Pi Network founder, Chengdiao Fan, and read the official announcement. Discover how Open Network unlocks a new era for Pi and how you can be part of it!

    91K20K30K1.4K13M viewsView on X
  • May 5, 20261.8x their median

    The Pi Founders are featured speakers at Consensus 2026 in Miami this week. Chengdiao Fan will speak on Wednesday, May 6 (11:15–11:35 AM EDT, Convergence Stage) on “Aligning Web3, AI, and Blockchain for Utility,” exploring how Pi’s blockchain infrastructure, verified identity, and globally engaged network can support utility‑driven products and AI‑era business models. Nicolas Kokkalis will join a panel on Thursday, May 7 (10:15–10:45 AM EDT, Convergence Stage) titled “How to Prove You’re Human in an AI World (Without Doxing Yourself),” exploring how the internet’s trust model is breaking as AI systems become capable of creating bots that can generate profiles and interact like real users. Together, these sessions highlight Pi’s approach to the AI era: supporting utility-driven products and sustainable business models through blockchain, verified identity, and a globally engaged network, while enabling global identity verification and providing authenticity solutions through Pi’s native KYC solution. See you there, Pioneers!

    11K2.6K831143269K viewsView on X
  • May 6, 20261.7x their median

    Pi Founder Chengdiao Fan spoke today at Consensus 2026 Miami in her session, “Aligning Web3, AI, and Blockchain for Utility.” Dr. Fan shared how Pi’s blockchain infrastructure, identity verification, and a globally engaged network can support utility-driven products and businesses in the AI era. Her talk built on a central challenge in the broader crypto industry: the frequent misalignment between token design and real innovation. While tokens in the industry have often been used primarily as capital-raising tools or quick exits, Dr. Fan discussed Pi’s approach to treat tokens as tools that can support growth, engagement, and long-term utility. Pi’s approach to ecosystem tokens and launch mechanisms focuses on tokens for user acquisition and integrating token design into the product innovation process. By using tokens to help products acquire real users who can engage, provide feedback, and use those tokens within actual product experiences, this approach connects token design more directly to utility and product development. More broadly, Dr. Fan’s talk invited discussion on how blockchain can help shape AI-era business models, financial literacy, ownership, and socioeconomic participation. As AI lowers the barrier to building, the focus shifts toward something harder to replicate: real users, real participation, and trusted human input at scale. Stay tuned for the full session video!

    11K2.4K848135307K viewsView on X
  • May 21, 20261.6x their median

    For the first time, OKX has made Pi available to millions of people in the US through its platform, adding another access point to the Pi ecosystem for US users. Pi continues to expand its global network of Pioneers and partners, and strengthen ecosystem participation, utility, and real user adoption across the world. More users. More usage. Stronger network

    10K2.3K985207541K viewsView on X
  • May 7, 20261.6x their median

    Pi Founder Nicolas Kokkalis spoke today at Consensus 2026 Miami on the panel, “How to Prove You’re Human in an AI World (Without Doxing Yourself).” The discussion focused on one of the most urgent challenges in the AI era: how to maintain trust and verify real human identity as AI systems become capable of generating convincing bots, profiles, and interactions at scale. Stay tuned for the full video!

    10K2.1K73086284K viewsView on X
  • May 11, 2026

    Here is last month's Network Update! Over 100,000 Pioneers have been KYC'd and over 30,000 migrated to Mainnet. https://t.co/vaxgJjfGM2

    8.9K1.8K1.1K129253K viewsView on X
  • Apr 28, 2026

    526 million human KYC validation tasks have already been completed on Pi. By over 1 million verified people. AI is advancing quickly. But the hardest part of building reliable systems is still deeply human. Models don’t improve from compute alone. They improve from: Judgment Correction Context Nuance Pi represents something different. A globally distributed, identity-verified human workforce that has already demonstrated coordination at scale, already active in the Pi ecosystem. This is real infrastructure, it’s already been used to process hundreds of millions of real tasks. For AI systems, that changes what’s possible. Go to the Pi mining app home screen to learn more.

    8.9K1.9K893120232K viewsView on X
  • Jun 5, 2026

    Network Update: Upgrade to protocol 24 has been completed successfully. Great job to all Nodes! This was one of the most challenging migrations. Next up will be v25, deadline June 18.

    8.0K1.7K1.1K118240K viewsView on X
  • May 20, 2026

    Big kudos to Mainnet Node operators for upgrading to v23. Most major Nodes have now been upgraded, and the protocol is expected to move to v23 soon. This was one of the most challenging upgrades to date, as it involved multiple subsystem upgrades and optimizations that required internal data reprocessing. Protocol 22 -> 23, Ubuntu 20 -> 24, PostgreSQL 12 -> 16

    8.2K1.8K730138296K viewsView on X
  • May 2, 2026

    The Pi Mainnet is upgrading to Protocol 23 – Deadline: May 15. All Mainnet nodes are required to complete this step before the deadline to remain connected to the network. This upgrade takes longer to complete, so plan accordingly. Details here: https://t.co/9VehO7hhj1

    8.2K1.7K721114362K 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 8.2K interactions against 4.3M followers, an engagement rate of 0.193%. Measured over 11 original posts, its engagement rate beats 97% of 1,003 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 414K times each, and 1.99% of those impressions turn into an interaction. That is about 9.72% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.4 posts a day over the last 30 days, though only 37% of days saw any activity at all. Most posts go out around 14:00 UTC, and Friday is the busiest day of the week. Of the 11 posts sampled, 55% carry an image or video and 55% link out. The account's strongest tracked post pulled 143K interactions, about 17x its own typical post.

What is Pi Network's engagement rate on X?
Pi Network (@PiCoreTeam) has an engagement rate of 0.193%, based on the median interactions across 11 original posts from the last 30 days against 4,256,690 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.193%, Pi Network sits above the 50th percentile of the 10,326 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 @PiCoreTeam have real engagement?
Its engagement rate beats 97% of the tracked X accounts closest to it in follower count (1,003 accounts), which puts it in the top 10% 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 @PiCoreTeam post?
Most posts go out around 14:00 UTC, and Friday is its busiest day, at roughly 0.4 posts per day across the measured window.

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