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Harsh Goenka engagement report

@hvgoenka - 1.8M followers on X

Measured over 93 original posts from a 30-day window, last computed on August 31, 2026.

Engagement

Top quarter for its size
Per follower
0.06%
of 1.8M followers
Per impression
2.07%
53K views on a typical post
Reach
2.90%
of its followers see a post
Typical post
1.1K
interactions (median)
Saved
0.162%
86 bookmarks on a typical post
Posting rate
4.27/day
active 73% of days
Peak time
12:00 UTC
Wednesday

A typical post picks up 1.1K interactions against 1.8M followers, an engagement rate of 0.06%. Measured over 93 original posts, its engagement rate beats 77% of 3,758 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 53K times each, and 2.07% of those impressions turn into an interaction. That is about 2.90% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4.3 posts a day over the last 30 days, with activity on roughly 73% of days. Most posts go out around 12:00 UTC, and Wednesday is the busiest day of the week. Of the 93 posts sampled, 68% carry an image or video. The account's strongest tracked post pulled 86K interactions, about 78x its own typical post. Recurring topics include #ai, #india, #london.

Measured over 93 original posts from a 30-day window, last computed on August 31, 2026. Recurring tags: #ai, #india, #london.

Compared with accounts its own size

Harsh Goenka's engagement rate beats 77% of the tracked X accounts closest to it in follower count (3,758 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 77% 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 0.06%, Harsh Goenka sits above the 25th percentile of the 36,654 accounts in this comparison. That places it in the below the median band, which runs 0.012% to 0.08%.

p100.002%
p250.012%
p50 (median)0.08%
p750.433%
p902.10%
p99160.5%
Engagement rate as a share of followers, across the 36,654 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 106,977 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 percentile0.012%
50th percentile0.08%
75th percentile0.433%
90th percentile2.10%
99th percentile160.5%

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 Wednesday 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 6%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%51K
01:00 UTC-2%52K
02:00 UTC-3%50K
03:00 UTC-4%53K
04:00 UTC-6%43K
05:00 UTC-4%42K
06:00 UTC-4%48K
07:00 UTC-5%52K
08:00 UTC-4%61K
09:00 UTC-3%70K
10:00 UTC-2%72K
11:00 UTC-3%78K
12:00 UTC-2%86K
13:00 UTC-2%94K
14:00 UTC-4%97K
15:00 UTC-2%101K
16:00 UTC-3%98K
17:00 UTC-2%91K
18:00 UTC-1%85K
19:00 UTC-1%80K
20:00 UTC-1%74K
21:00 UTC-1%66K
22:00 UTC-1%57K
23:00 UTC-2%52K
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: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 5%Busiest day: Wednesday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+4%231K
Monday0%288K
Tuesday-2%278K
Wednesday-1%251K
Thursday-1%245K
Friday-3%253K
Saturday+3%227K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Aug 13, 202678x their median

    The Devil Horns Solar Eclipse Is one of the rarest sunrise ever photographed and was stunning. https://t.co/hYCfUpxbNN

    72K12K6487094.2M viewsView on X
  • Aug 11, 202612x their median

    HUGE 🚨 A growing number of foreigners are leaving hospitals in their own countries and coming to India for affordable healthcare. A UK man avoided a 3-year NHS wait and underwent double knee replacement surgery in India. The surgery cost £14,000 in India compared to £40,000 in the UK 😳 He walked within just 4 hours after treatment in India. He and his wife praised India's healthcare🔥

    11K2.4K15863444K viewsView on X
  • Aug 27, 20268.2x their median

    15 yr Delhi boy Vandal Sawai, jet-lagged, reluctantly enters an online chess tournament because his parents push him to. He beats World No.1 Magnus Carlsen in 50 moves, plays two more games, says “I’m done” and goes to bed. His parents discover next day on https://t.co/xgv9wFl75C that their son had beaten Magnus! 😂 Only in India!

    8.1K9237432343K viewsView on X
  • Aug 13, 20266.0x their median

    Three cockroaches are apparently not enough to cancel a food licence. 😳 Perhaps what we now need is an official “cockroaches per square foot” limit - graded separately for homes, restaurants, hotels and hospitals! https://t.co/uxkAbdLGFN

    4.7K1.2K62493120K viewsView on X
  • Aug 22, 20265.8x their median

    The new status symbol for restaurants…. https://t.co/PvKFSQeDqw

    5.5K6691454071K viewsView on X
  • Aug 25, 20265.0x their median

    We send missions into space, build world-class airports and run sleek Vande Bharat trains. And then millions of Indians commute like this every day. It’s risky, dangerous and unacceptable. India cannot aspire to first-world infrastructure while accepting this as normal. 😱 https://t.co/XsL3RK4xvA

    3.7K850815144302K viewsView on X
  • Aug 21, 20264.1x their median

    The Ahmedabad Municipal Corporation has asked over 11,000 restaurants and food businesses to install CCTV cameras in kitchens and display the live feed for diners. Transparency may just be the best hygiene inspector. Time to take this pan-India? https://t.co/LSiJXS6mm2

    3.6K5962356578K viewsView on X
  • Aug 23, 20264.0x their median

    WELCOME TO INDIA? This is how one enters India in Delhi. The welcome to all visitors…….. Immigration…..then…..”BUY BUY BUY BUY BUY!”. Not even 5 feet from immigration. This is a real video of immigration in Delhi. https://t.co/VHYuYZ45YE

    2.7K2141.3K1441.8M viewsView on X
  • Aug 28, 20263.8x their median

    With all the headlines screaming that Subhash Chandra got a 99%+ haircut from banks, it is worth listening to his side of the story too. The ₹22,000 crore figure is being widely misunderstood and several facts being circulated are simply wrong. There are always two sides to a story. Do listen before you judge.

    3.0K66142259343K viewsView on X
  • Aug 20, 20263.2x their median

    How an ATM works….. https://t.co/WV54Ocf0uA

    3.0K5054213217K 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

#ai#india#london#pakistan#leaningecologies

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 1.1K interactions against 1.8M followers, an engagement rate of 0.06%. Measured over 93 original posts, its engagement rate beats 77% of 3,758 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 53K times each, and 2.07% of those impressions turn into an interaction. That is about 2.90% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4.3 posts a day over the last 30 days, with activity on roughly 73% of days. Most posts go out around 12:00 UTC, and Wednesday is the busiest day of the week. Of the 93 posts sampled, 68% carry an image or video. The account's strongest tracked post pulled 86K interactions, about 78x its own typical post. Recurring topics include #ai, #india, #london.

What is Harsh Goenka's engagement rate on X?
Harsh Goenka (@hvgoenka) has an engagement rate of 0.06%, based on the median interactions across 93 original posts from the last 30 days against 1,835,863 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.06%, Harsh Goenka sits above the 25th percentile of the 36,654 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 @hvgoenka have real engagement?
Its engagement rate beats 77% of the tracked X accounts closest to it in follower count (3,758 accounts), which puts it in the top 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 @hvgoenka post?
Most posts go out around 12:00 UTC, and Wednesday is its busiest day, at roughly 4.27 posts per day across the measured window.

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