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Dr SHRADDHEY KATIYAR engagement report

@Wegiveyouhealt1 - 51K followers on X

Measured over 14 original posts from a 30-day window, last computed on October 18, 2026.

Engagement

Middle of its size range
Per follower
0.1%
of 51K followers
Per impression
2.01%
2.5K views on a typical post
Reach
4.95%
of its followers see a post
Typical post
51
interactions (median)
Saved
0.355%
9 bookmarks on a typical post
Posting rate
1.03/day
active 10% of days
Peak time
16:00 UTC
Friday

A typical post picks up 51 interactions against 51K followers, an engagement rate of 0.1%. Measured over 14 original posts, its engagement rate beats 36% of 20,445 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 2.5K times each, and 2.01% of those impressions turn into an interaction. That is about 4.96% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1 post a day over the last 30 days, though only 10% of days saw any activity at all. Most posts go out around 16:00 UTC, and Friday is the busiest day of the week. Of the 14 posts sampled, 14% carry an image or video. The account's strongest tracked post pulled 1.3K interactions, about 26x its own typical post.

Measured over 14 original posts from a 30-day window, last computed on October 18, 2026.

Compared with accounts its own size

Dr SHRADDHEY KATIYAR's engagement rate beats 36% of the tracked X accounts closest to it in follower count (20,445 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 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 0.1%, Dr SHRADDHEY KATIYAR sits above the 25th percentile of the 204,880 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.143%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,880 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,891 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 percentile0.024%
50th percentile0.143%
75th percentile0.678%
90th percentile2.55%
99th percentile82.4%

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 16:00 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: 16:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 16:00 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 video14% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 14% 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 391 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 17, 202626x their median

    For 5 years I am using twitter. I understand this app a little bit . But getting 14k likes in 33 mins is “very very suspicious”. Even Elon Musk 99% percent times will struggle to get this strike rate. https://t.co/TpWjhNCJTe

    1.1K65173792K viewsView on X
  • Oct 17, 20262.9x their median

    Calories = weight Macros = shape Micros = mood/energy Electrolytes = performance Creatine = strength, energy, brain Hormones = behavior Hydration = body function Fiber = fullness, digestion Consistency = results.

    12715324.3K viewsView on X
  • Oct 16, 20262.2x their median

    If you don't fit into the crowd, podium is waiting for you.

    1047212.8K viewsView on X
  • Oct 16, 20262.2x their median

    Not taking any decision,is the worst decision.

    1058002.2K viewsView on X
  • Oct 16, 20262.2x their median

    "Not everything in the heart can be said, so God created sighs, rapid heart, fast breathing, tears, long sleep, cold smiles, and shivering hands."

    1009103.0K viewsView on X
  • Oct 18, 2026

    There is ONE star in our Solar System. The Milky Way contains hundreds of billions of stars. The observable universe contains hundreds of billions, possibly trillions, of galaxies. Some galaxies contain hundreds of billions of stars of their own. Andromeda, our nearest major galactic neighbour, is 2.5 million light-years away. Now put your life into perspective. You are worrying about what your boss said, who disrespected you, and whether society is conspiring against you. On a cosmic scale, your existence is almost unimaginably insignificant. The universe does not revolve around you. Most of what consumes your mind will never matter beyond your lifetime. Stop living as though every insult is a catastrophe. You are a brief conscious moment in an ancient, incomprehensibly vast universe. Live well. Think clearly. Let go of the trivial.

    646002.5K viewsView on X
  • Oct 18, 2026

    The scientific base why people who do resistance training . They are less prone to have cold, bacterial & viral infections: Your muscles do far more than move your body. They help regulate your entire physiology. When you exercise, your contracting muscles release hundreds of signalling molecules called MYOKINES. These molecules communicate with your brain, liver, fat tissue, blood vessels and immune system. Here’s what happens when you move: BRAIN: BDNF supports neuronal survival, learning, memory and neuroplasticity. FAT TISSUE: Irisin may promote the browning of white fat. Exercise also improves how your body uses stored energy. MUSCLE GROWTH: Resistance training stimulates muscle protein synthesis and activates pathways involved in muscle repair and adaptation. INSULIN SENSITIVITY: Exercise helps muscles take up glucose and improves metabolic health. MITOCHONDRIA: AMPK and PGC-1α signalling support mitochondrial adaptation and energy production. INFLAMMATION: Exercise can promote anti-inflammatory responses. IL-6 released during muscle contraction behaves differently from chronically elevated IL-6 associated with disease. LIVER & METABOLISM: Muscle-derived signals influence lipid handling, glucose regulation and whole-body energy metabolism. CARDIOVASCULAR HEALTH: Regular exercise improves endothelial function, circulation and blood pressure. Your muscles are not merely engines. They are signalling organs. Every workout is an opportunity to improve how your brain, metabolism, immune system and cardiovascular system function. You don’t exercise only to build bigger muscles. You exercise to build a healthier human body. Train your muscles. Protect your future health.

    526102.1K viewsView on X
  • Oct 16, 2026

    And The truth is, you will miss the Earth most when you will be in Heaven.

    412002.2K viewsView on X
  • Oct 18, 2026

    You are not growing up in my arms. It’s me, growing older in yours. My Son.

    392001.5K viewsView on X
  • Oct 16, 2026

    If I loved you less , I might be thinking about you more .

    364101.8K 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 51 interactions against 51K followers, an engagement rate of 0.1%. Measured over 14 original posts, its engagement rate beats 36% of 20,445 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 2.5K times each, and 2.01% of those impressions turn into an interaction. That is about 4.96% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1 post a day over the last 30 days, though only 10% of days saw any activity at all. Most posts go out around 16:00 UTC, and Friday is the busiest day of the week. Of the 14 posts sampled, 14% carry an image or video. The account's strongest tracked post pulled 1.3K interactions, about 26x its own typical post.

What is Dr SHRADDHEY KATIYAR's engagement rate on X?
Dr SHRADDHEY KATIYAR (@Wegiveyouhealt1) has an engagement rate of 0.1%, based on the median interactions across 14 original posts from the last 30 days against 51,118 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.1%, Dr SHRADDHEY KATIYAR sits above the 25th percentile of the 204,880 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 @Wegiveyouhealt1 have real engagement?
Its engagement rate beats 36% of the tracked X accounts closest to it in follower count (20,445 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 @Wegiveyouhealt1 post?
Most posts go out around 16:00 UTC, and Friday is its busiest day, at roughly 1.03 posts per day across the measured window.

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