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Hangzhoufeel engagement report

@hangzhoufeel - 172K followers on X

Measured over 59 original posts from a 30-day window, last computed on October 18, 2026.

Engagement

Bottom quarter for its size
Per follower
0.002%
of 172K followers
Per impression
1.16%
345 views on a typical post
Reach
0.2%
of its followers see a post
Typical post
4
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
2.03/day
active 43% of days
Peak time
12:00 UTC
Thursday

A typical post picks up 4 interactions against 172K followers, an engagement rate of 0.002%. Measured over 59 original posts, its engagement rate beats 10% of 21,185 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 345 times each, and 1.16% of those impressions turn into an interaction. That is about 0.2% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 posts a day over the last 30 days, though only 43% of days saw any activity at all. Most posts go out around 12:00 UTC, and Thursday is the busiest day of the week. Of the 59 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 839 interactions, about 210x its own typical post. Recurring topics include #hangzhou, #autumnvibes, #hangzhougrandtheatre.

Measured over 59 original posts from a 30-day window, last computed on October 18, 2026. Recurring tags: #hangzhou, #autumnvibes, #hangzhougrandtheatre.

Compared with accounts its own size

Hangzhoufeel's engagement rate beats 10% of the tracked X accounts closest to it in follower count (21,185 accounts, accounts of similar size (decile 9 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 47% 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 0.002%, Hangzhoufeel sits below the 10th percentile of the 212,805 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.025%.

p100.004%
p250.025%
p50 (median)0.146%
p750.697%
p902.61%
p9983.1%
Engagement rate as a share of followers, across the 212,805 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,448 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 percentile0.025%
50th percentile0.146%
75th percentile0.697%
90th percentile2.61%
99th percentile83.1%

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 12:00 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: 12:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 12:00 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 video100% of posts+111%+108% to +115%34K
Outbound link2% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 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.
  • 2% 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 471 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

  • Oct 18, 2026210x their median

    The 4th #LiangzhuForum opens today, inviting the world to encounter the jade motifs, lacquer colors, and sunlit rice fields of a civilization five millennia old. Through artist Elisabeth Anisimow's eyes, #Liangzhu civilization feels not distant but vivid and alive. Its beauty, creativity, and vitality continue to speak across time. #BridgingPastAndFuture #Liangzhu5000Years #CivilizationsShine #Hangzhou

    58125710122K viewsView on X
  • Oct 17, 2026173x their median

    From the ruins of ancient #Pompeii and Rome to the Archaeological Ruins of #Liangzhu City, Lucia — an Italian history enthusiast — travels all the way to #Hangzhou to experience in person the 5,000-year-old Liangzhu civilization she once only read about in books. This is a cross-time-and-space dialogue between two great civilizations, and an exploration of the core question: "What keeps a civilization alive?" Now, follow Lucia as we uncover the answers together. #LiangzhuForum #BridgingPastAndFuture #Liangzhu5000Years #CivilizationsShine

    51617400111K viewsView on X
  • Oct 18, 2026130x their median

    The Fourth Liangzhu Forum opens in Hangzhou, Zhejiang Province, on October 18 under the theme "Bridging the Past and the Future: Safeguarding Cultural Heritage for Our Times." The Forum brings together renowned experts from China and abroad to discuss early civilizations, city-site archaeology, and the protection of large archaeological sites, and will release a series of new academic advances and findings. It directly addresses practical challenges such as the loss of cultural heritage, technological upgrading in the protection and utilization of cultural relics, and sustainable tourism, and strives to contribute Chinese proposals and strength in fields including World Cultural Heritage nomination and the restitution of lost cultural relics. #LiangzhuForum #BridgingPastAndFuture #Liangzhu5000Years #CivilizationsShine #WhatsonHangzhou

    4111080131K viewsView on X
  • Oct 6, 202680x their median

    🚦🤖 Meet the “New Traffic Officer.” DEEP Robotics’ humanoid robot DR02 is taking to the streets for real-world testing across multiple urban scenarios. From autonomous navigation and dynamic obstacle avoidance to identifying traffic violations, providing voice and gesture alerts, and interacting with pedestrians in multiple languages, the robot is being tested for its potential to support smarter urban mobility. #DEEPRobotics #HumanoidRobot #EmbodiedAI #SmartCity #UrbanMobility #Robotics

    24351131312K viewsView on X
  • Sep 5, 202663x their median

    🏫💞The campus in Yuhang she once visited witnessed the beginning of the friendship between the two cities. Years later, Auburn Mayor Nancy Backus is back in Hangzhou, revisiting familiar places. ✨Over the past decade, from first encounters to reunions, some stories find a new chapter when paths cross again. 🍵 🎙️On Sept 5, Hangzhou International Day, HZICC's Meet in Hangzhou sits down with Mayor Backus for a special conversation. Stay tuned. #WhatsonHangzhou #HangzhouInternationalDay #SisterCity #ChinaUS #CityFriendship

    250100119K viewsView on X
  • Sep 14, 20263.8x their median

    ✨POP MART just opened its largest store in China, right in the heart of Hangzhou. Located at Hubin Intime in77, the three-story flagship brings popular IPs like THE MONSTERS and CRYBABY into a distinctly Hangzhou setting, with West Lake, lotus leaves and Jiangnan-style scenes woven into the design. A giant character from Twinkle Twinkle on the rooftop has already turned the store into a new photo spot, drawing crowds from the very first day. @POPMARTGlobal #Hangzhou #POPMART #PopCulture #DiscoverHangzhou

    104011.4K viewsView on X
  • Oct 14, 20263.3x their median

    🍁 Autumn at Yuhu Bay looks like someone spilled watercolors across the lake. Trees in every shade of fall reflect on the water's surface, turning it into a living painting. 📷/ 辰曲16 #BeautifulHangzhou #Painting #WestLake #AutumnVibes https://t.co/bLtIfBJDxw

    8500594 viewsView on X
  • Oct 12, 20262.5x their median

    What connects a 5,000-year-old civilization with today's world? Fourteen international students from ZCMU in Hangzhou explored Liangzhu culture firsthand—shaping pottery, discovering ancient jade artifacts, and learning how early communities lived in harmony with nature. Pottery unearthed at Liangzhu offers a glimpse into the daily life of this ancient civilization. The 4th Liangzhu Forum takes place Oct 18–20, 2026. Stay tuned as Hangzhou brings cultures together! #LiangzhuForum #Hangzhou #Archaeology #CulturalHeritage

    6310283 viewsView on X
  • Oct 8, 20262.5x their median

    Willow branches trail like silk thread as dawn slips through the leaves, scattering gold across the stone path. An arched bridge hides in the greenery, and the pond stays clear as glass. Then come the mandarin ducks: the male glows with orange plumage, while the female glides quietly nearby. One splash breaks the reflection of trees and sky. 🦆🌿🌅 Location: Orioles Singing in the Willows #Hangzhou #VisitHangzhou #WestLake

    8200324 viewsView on X
  • Oct 8, 20262.5x their median

    3,000 km down, another 3,000 km to go! Liang Xinde (Dali), an ultrarunner from Hangzhou, continues his journey in the 6,000 km category of the 2026 Deca Ultra Italy. On Day 34, his plantar fasciitis flared up. Pain, loneliness and injuries bring new challenges every day, and he has to constantly adjust and adapt. He said, “Once I set off, I won't give up.” #Hangzhoufeel #DecaUltraItaly #Ultramarathon #UltraEndurance #NeverGiveUp

    9100971 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.

Recurring topics

#hangzhou#autumnvibes#hangzhougrandtheatre#liangzhu#westlake

The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.

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Reading these numbers

A typical post picks up 4 interactions against 172K followers, an engagement rate of 0.002%. Measured over 59 original posts, its engagement rate beats 10% of 21,185 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 345 times each, and 1.16% of those impressions turn into an interaction. That is about 0.2% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 posts a day over the last 30 days, though only 43% of days saw any activity at all. Most posts go out around 12:00 UTC, and Thursday is the busiest day of the week. Of the 59 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 839 interactions, about 210x its own typical post. Recurring topics include #hangzhou, #autumnvibes, #hangzhougrandtheatre.

What is Hangzhoufeel's engagement rate on X?
Hangzhoufeel (@hangzhoufeel) has an engagement rate of 0.002%, based on the median interactions across 59 original posts from the last 30 days against 172,373 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.002%, Hangzhoufeel sits below the 10th percentile of the 212,805 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 @hangzhoufeel have real engagement?
Its engagement rate beats 10% of the tracked X accounts closest to it in follower count (21,185 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 @hangzhoufeel post?
Most posts go out around 12:00 UTC, and Thursday is its busiest day, at roughly 2.03 posts per day across the measured window.

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