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Ramesh Kandel engagement report

@kandeldai - 46K followers on X

Measured over 10 original posts from a 30-day window, last computed on October 25, 2026.

Engagement

Middle of its size range
Per follower
0.052%
of 46K followers
Per impression
0.509%
4.7K views on a typical post
Reach
10.2%
of its followers see a post
Typical post
24
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
1.57/day
active 30% of days
Peak time
04:00 UTC
Tuesday

A typical post picks up 24 interactions against 46K followers, an engagement rate of 0.052%. Measured over 10 original posts, its engagement rate beats 26% of 21,185 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 4.7K times each, and 0.509% of those impressions turn into an interaction. That is about 10.2% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.6 posts a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 04:00 UTC, and Tuesday is the busiest day of the week. Of the 10 posts sampled, 60% carry an image or video. The account's strongest tracked post pulled 9.6K interactions, about 399x its own typical post. Recurring topics include #factcheck, #nepalpress, #onlinekhabar.

Measured over 10 original posts from a 30-day window, last computed on October 25, 2026. Recurring tags: #factcheck, #nepalpress, #onlinekhabar.

Compared with accounts its own size

Ramesh Kandel's engagement rate beats 26% of the tracked X accounts closest to it in follower count (21,185 accounts, accounts of similar size (decile 4 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 17% 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 0.052%, Ramesh Kandel sits above the 25th percentile of the 212,925 accounts in this comparison. That places it in the below the median band, which runs 0.025% to 0.146%.

p100.004%
p250.025%
p50 (median)0.146%
p750.698%
p902.61%
p9983.0%
Engagement rate as a share of followers, across the 212,925 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,436 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 percentile0.698%
90th percentile2.61%
99th percentile83.0%

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 04:00 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: 04:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 04:00 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 video60% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 60% 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 183 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

  • Apr 16, 2015399x their median

    ठुला मान्छे मरे पार्थिव शरीर रे, गरिव मरे लास रे ! साला मरेपछि पनि राजनीति !

    5.4K4.0K13842View on X
  • Oct 18, 2026132x their median

    https://t.co/tVEjCr0Ram

    3.0K16120101.5M viewsView on X
  • Oct 18, 202613x their median

    जाजरकोट,नलगाड नगरपालिका वडा नम्बर १० बाट बिरामीलाई अस्पताल लादै गरेको दृश्य देख्दा आफूलाई धिक्कार्न मन लाग्दैन? @kpsharmaoli @cmprachanda @MadhavNepalcpn @brb1954 @SherBDeuba @Arzuranadeuba "थुक्क मेरो जीवन, सत्तामा हुँदा पनि केही गरिएन" भन्ने लाग्दैन? Video: Chitra Pun Magar https://t.co/aVndxUAmPl

    19457431412K viewsView on X
  • Oct 13, 20264.0x their median

    जय नेपाल ।🙂 https://t.co/v1zwGnrgQM

    7291157.2K viewsView on X
  • Oct 20, 20262.5x their median

    को हुन् यि गाइको अनार गर्या गोरू जस्तो !?😜😂🤣 https://t.co/rrC0n2TEcl

    3152319.4K viewsView on X
  • Oct 20, 2026

    त्यो फिष्टे कस्ताको चैं घराँ भत्वा लाग्न पुगेछ यता र अहिले नेपाल फर्केर पडकाष्टमा हिरो बन्दै अन्तराष्टे बिजेत गर्दैछ 😂😂 पैसा छाप्न काम खोज्ने बेलाको संघर्ष सम्झिएस र विपदमा शरण दिएकाको बिजेत नगरेस लठुवा! दाँत ङिच्याएर हिंऽऽऽऽ गरेका भरमा मान्छे हाँस्ने दिन छैनन हिजाज केटा!

    160714.1K viewsView on X
  • Oct 19, 2026

    उहिले वेदप्रकाश शर्मा, सुरेन्द्रमोहन पाठक, केशव पण्डितका उपन्यास खुब पढ्ने सोख थियो। मेरो माइक्रो एनालिसबाट के बुझेँ भने वेदप्रकाश शर्मा विज्ञानका शब्द प्रयोग गर्थे, सुरेन्द्रमोहन पाठक बिजनेस/म्यानेजमेन्टका र घोस्ट राइटर केशव पण्डित कानुनका। ती उपन्यासहरु पढ्दा 'प्वाइन्ट ब्ल्याङ्क रेञ्ज' भन्ने शब्द खुब पढियो। नेपालीमा एक हात, अंग्रेजीमा दुई फुटमा गरिने गोली प्रहार। ज्याकी श्राफका छोरा, एक्सन स्टार टाइगर श्रफमाथि गोली प्रहारका घटनाका हालसम्म सार्वजनिक फुटेजहरू हेर्दा ती देसीकट्टाले तर्साउन मात्रै हानेजस्तो मलाई किशोरावयको 'गुप्तचर पाठक'ले लाग्दैछ।

    160714.9K viewsView on X
  • Oct 15, 2026

    खगेन्द्र सुनुवारबाट कुरो यस्तो आयो। मिडिया ट्रायल भन्दा उचित बाटो, निकायबाट छानबिन हो। पिडित भनिएकी महिलाले उजुरी नहाले पनि छानबिन होस् दुबैको बयान होस् निर्क्यौलमा पुगियोस्। संग संगै निर्वाचन प्रहरीका भनिएका अनियमिततामा पनि छानबिन होस् कुनै रोक्न परेन। 😎 https://t.co/cMmkEprViP

    110214.5K viewsView on X
  • Oct 20, 2026

    यता एउटा खालको मानसिक रोगी छन्। जसलाई आफूले केहि नभने पनि उसका नजिक जस्तो लाग्नेले केहि भन्दिए यसैले भन्यो भन्ने लागेर बर्बराउने रोग।

    71101.5K viewsView on X
  • Oct 16, 2026

    खोलाको किनारमा बस्न नदिने बालेन, भोटेकोसी र बुढिगण्डकी उस्तै खतरनाक देखिए। बालेनको योजनालाई प्रकृतिले पनि अनुमोदन गरेझैं भयो।

    1000484 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

#factcheck#nepalpress#onlinekhabar

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 24 interactions against 46K followers, an engagement rate of 0.052%. Measured over 10 original posts, its engagement rate beats 26% of 21,185 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 4.7K times each, and 0.509% of those impressions turn into an interaction. That is about 10.2% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.6 posts a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 04:00 UTC, and Tuesday is the busiest day of the week. Of the 10 posts sampled, 60% carry an image or video. The account's strongest tracked post pulled 9.6K interactions, about 399x its own typical post. Recurring topics include #factcheck, #nepalpress, #onlinekhabar.

What is Ramesh Kandel's engagement rate on X?
Ramesh Kandel (@kandeldai) has an engagement rate of 0.052%, based on the median interactions across 10 original posts from the last 30 days against 46,226 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.052%, Ramesh Kandel sits above the 25th percentile of the 212,925 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 @kandeldai have real engagement?
Its engagement rate beats 26% of the tracked X accounts closest to it in follower count (21,185 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 @kandeldai post?
Most posts go out around 04:00 UTC, and Tuesday is its busiest day, at roughly 1.57 posts per day across the measured window.

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