Back to @iam_preethi's profile

Preethi Kasireddy engagement report

@iam_preethi - 597K followers on X

Measured over 59 original posts from a 30-day window, last computed on October 16, 2026.

Engagement

Middle of its size range
Per follower
0.015%
of 597K followers
Per impression
0.496%
19K views on a typical post
Reach
3.13%
of its followers see a post
Typical post
93
interactions (median)
Saved
0.165%
31 bookmarks on a typical post
Posting rate
2.43/day
active 87% of days
Peak time
13:00 UTC
Thursday

A typical post picks up 93 interactions against 597K followers, an engagement rate of 0.015%. Measured over 59 original posts, its engagement rate beats 40% of 20,444 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 19K times each, and 0.496% of those impressions turn into an interaction. That is about 3.14% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.4 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 13:00 UTC, and Thursday is the busiest day of the week. Of the 59 posts sampled, 17% carry an image or video and 5% link out. The account's strongest tracked post pulled 7.5K interactions, about 81x its own typical post.

Measured over 59 original posts from a 30-day window, last computed on October 16, 2026.

Compared with accounts its own size

Preethi Kasireddy's engagement rate beats 40% of the tracked X accounts closest to it in follower count (20,444 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 31% 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 0.015%, Preethi Kasireddy sits above the 10th percentile of the 205,374 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 205,374 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,897 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 13:00 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: 13:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 13:00 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 video17% of posts+111%+108% to +115%34K
Outbound link5% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 17% 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.
  • 5% 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 595 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

  • Aug 25, 202681x their median

    If she doesn’t watch what she eats, here’s why you need to leave her. https://t.co/fCr5l6QIJD

    6.0K1.4K4442279K viewsView on X
  • Oct 2, 202647x their median

    In my internship year, a woman actively trying to conceive brought a prescription and the drug was a contraceptive. I was shocked and asked her again and she said it was her doctor that told her to buy it, I asked if she has the doctor’s number which she had. I called and I informed him of what I observed, and he took his time to explain the whole concept….. I was like okay daddy, burst brain. Nah why you be gynecologist. Sold the medication everyone was happy.

    4.1K17936291.4M viewsView on X
  • Aug 21, 202632x their median

    They don't want you to know this but you can literally just add gelatin to ground beef and it makes it 100X healthier and tastier. This will give you tons of glycine and hydroxyproline, amino acids that have anti-inflammatory effects and balances out the pro-aging properties of other amino acids. Good ratio is one of these packets for every 4 oz. Mix it up good. It gives it a much richer texture that's amazing.

    2.7K2206618164K viewsView on X
  • Sep 4, 202627x their median

    We homeschool, and I get asked often my mental model for how we approach it Id encourage people to study the Ancient Greeks Modern schooling asks: “What should a 5-year-old know?” The ancients might have asked: “What kind of person should this child become?” That is a much more powerful question for homeschooling parents.

    2.2K1795614154K viewsView on X
  • Sep 27, 202622x their median

    how to sleep through the night: -2 tablespoons honey + pinch of salt before bed (this was critical for me) -10 min sunlight first thing in am (no sunglasses!) -no blue light, no flickering light 2 hours before bed (no phones, no LED lights etc, red light in house etc.) -majority of fluids in first 10 hours of the day, minimize after that -adequate calories during the day (from high quality foods) + reasonable macros (0.8 g protein/lb goal body weight, ~25-30%+ fat cals, carbohydrates based on activity level- at least 150g daily) -magnesium prior to sleep.

    1.9K100938141K viewsView on X
  • Sep 3, 202614x their median

    I sometimes see moms on here talking about homeschooling their 3 and 4 year olds as if they are preparing them for Harvard. Then they feel guilty when they cannot stick to a structured schedule. Homeschool moms who have done this for over 10 years will tell you that formal curriculum before age 6 is completely unnecessary. Even in 1st grade, actual bookwork takes maybe 30-60 minutes a day. For toddlers and preschoolers, executive function and vocabulary come from spending hours outside, open ended play, conversations, and reading stacks of picture books together. Early academic drilling just burns kids out and the supposed advantage washes out completely by 3rd grade. Don't rob your young child out of play time. Play is how they learn BEST.

    1.1K7735960K viewsView on X
  • Aug 29, 202610x their median

    Please let your child be bored. When you constantly step in with the next activity, kids never learn how to drop into deep, self directed play. The discomfort of boredom is actually GOOD for them. When a child is never allowed to feel bored, they learn that low stimulation is an emergency that requires an immediate distraction. It might take 10 or 20 minutes of complaining, but eventually their imagination takes over. What they come up with on their own is almost always more creative than anything you could have handed them anyways. Rescuing your child from boredom today just turns them into an adult who checks their phone every 45 seconds because they cannot tolerate 5 minutes of quiet focus.

    848849278K viewsView on X
  • Oct 13, 20269.0x their median

    What you lose in every ejaculation: - Zinc - Magnesium - Calcium - Potassium - Phosphorylcholine - Free amino acids - GABA and beta-endorphin - Fructose, enzymes, prostaglandins Bust too much, and you deplete your system of nutrients. https://t.co/Q10r0b8rRn

    7783317668K viewsView on X
  • Sep 3, 20268.1x their median

    I was talking to a woman yesterday who spent 20 mins listing every PCOS symptom she deals with and how much she hates it. When she insisted that her genetics make the condition completely permanent and said she has tried everything, I mentioned that lowering insulin through nutrition, lifting weights, and daily walking can drop androgens and reverse the metabolic dysfunction. She cut me off mid sentence and got visibly angry. That was the moment I realized her diagnosis had become her entire personality, because accepting that her body could heal meant she would have to change how she lives. Some women almost want their ovaries to be permanently broken.

    6872833940K viewsView on X
  • Oct 12, 20265.8x their median

    35 isn't the cliff. 40 is. Note: These numbers come from 3 large studies. They're averages, not your personal odds. Think of them as a baseline. If you are healthier than average, your numbers may look better. And vice versa. Miscarriage is lowest at 27, at about 1 in 10 pregnancies. It rises to 1 in 6 from 35 to 39, 1 in 3 from 40 to 44, and just over half at 45 and older. Embryos with abnormal chromosomes are lowest from 26 to 30, at about 1 in 4. That passes half at 39 and hits 88% at 44. For IVF patients, the chance of having zero normal embryos stays under 10% until 37. It's 33% at 42 and 53% at 44. And when women tried naturally, 87% of 30 and 31 year olds were pregnant within a year, compared with 54% of 40 and 41 year olds. The risk creeps up a little at 37. It climbs fastest after 40.

    48930142130K 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.

Buy or sell Twitter (X) accounts - escrow-protected

PlayerSells is an escrow marketplace for Twitter (X) accounts. Every deal is protected, with no middleman risk.

Reading these numbers

A typical post picks up 93 interactions against 597K followers, an engagement rate of 0.015%. Measured over 59 original posts, its engagement rate beats 40% of 20,444 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 19K times each, and 0.496% of those impressions turn into an interaction. That is about 3.14% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.4 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 13:00 UTC, and Thursday is the busiest day of the week. Of the 59 posts sampled, 17% carry an image or video and 5% link out. The account's strongest tracked post pulled 7.5K interactions, about 81x its own typical post.

What is Preethi Kasireddy's engagement rate on X?
Preethi Kasireddy (@iam_preethi) has an engagement rate of 0.015%, based on the median interactions across 59 original posts from the last 30 days against 596,909 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.015%, Preethi Kasireddy sits above the 10th percentile of the 205,374 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 @iam_preethi have real engagement?
Its engagement rate beats 40% of the tracked X accounts closest to it in follower count (20,444 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 @iam_preethi post?
Most posts go out around 13:00 UTC, and Thursday is its busiest day, at roughly 2.43 posts per day across the measured window.

Keep going