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Ronnie Screwvala engagement report

@RonnieScrewvala - 2.1M followers on X

Measured over 9 original posts from a 30-day window, last computed on September 1, 2026.

Engagement

Middle of its size range
Per follower
0.008%
of 2.1M followers
Per impression
0.705%
25K views on a typical post
Reach
1.20%
of its followers see a post
Typical post
179
interactions (median)
Saved
0.055%
14 bookmarks on a typical post
Posting rate
1.43/day
active 47% of days
Peak time
06:00 UTC
Saturday

A typical post picks up 179 interactions against 2.1M followers, an engagement rate of 0.008%. Measured over 9 original posts, its engagement rate beats 43% of 3,758 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 25K times each, and 0.705% of those impressions turn into an interaction. That is about 1.20% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.4 post a day over the last 30 days, with activity on roughly 47% of days. Most posts go out around 06:00 UTC, and Saturday is the busiest day of the week. Of the 9 posts sampled, 78% carry an image or video and 22% link out. The account's strongest tracked post pulled 55K interactions, about 310x its own typical post. Recurring topics include #udaan, #aayanboradia, #umumba.

Measured over 9 original posts from a 30-day window, last computed on September 1, 2026. Recurring tags: #udaan, #aayanboradia, #umumba.

Compared with accounts its own size

Ronnie Screwvala's engagement rate beats 43% 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 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 0.008%, Ronnie Screwvala sits above the 10th percentile of the 36,378 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.012%.

p100.002%
p250.012%
p50 (median)0.08%
p750.432%
p902.10%
p99161.0%
Engagement rate as a share of followers, across the 36,378 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 107,364 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 percentile0.432%
90th percentile2.10%
99th percentile161.0%

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 06:00 UTC, and Saturday 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: 06:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 06:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%50K
01:00 UTC-2%51K
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%60K
09:00 UTC-3%69K
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%100K
16:00 UTC-3%97K
17:00 UTC-2%90K
18:00 UTC-1%84K
19:00 UTC-2%79K
20:00 UTC-1%74K
21:00 UTC-1%66K
22:00 UTC-2%57K
23:00 UTC-2%51K
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: Saturday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 5%Busiest day: Saturday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+4%230K
Monday0%286K
Tuesday-2%276K
Wednesday-1%251K
Thursday-1%244K
Friday-3%252K
Saturday+3%227K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Jul 18, 2026310x their median

    🙏 https://t.co/H1lJ2P4sjs

    49K5.1K1.1K1224.0M viewsView on X
  • May 31, 202634x their median

    Apparently only 0.01% of the population can answer this correctly https://t.co/xP2y1nQctD

    1.6K384.0K1045.2M viewsView on X
  • May 31, 202622x their median

    IQ level check, Only genius can solve this in 10 Seconds 6 + 7 = ? https://t.co/u3PbxCO0eF

    4851223.1K55121K viewsView on X
  • Jul 1, 202615x their median

    Just finished north of 200 meetings in Europe with customers and technologists. The conversations were primarily around AI, common questions include: 1. Are there examples of organizations who have been able to demonstrate production level systems and do those developments show a return in lower cost, efficiency or better top line? 2. What do you think about agents? How will we discover, govern and stop agents if need be. Perhaps the biggest security concern ATM. 3. The frontier AI models are expensive, what's the business case at these token prices to embed AI in our customer facing products? Where will token prices be in the future. 4. What are the longer term implications of Mythos like models? Do we need to update cyber infrastructure or all IT infrastructure? 5. What do you think of Chinese opensource models? Are they secure and what is the downside of using them if they can be secured and they are cheaper? The parts that surprised me were: 1. The pausing of Mythos and Fable 5 caused more consternation and concern in Europe both short term and raised longer term concerns on single model reliance or reliance or models not in ones control. I hadn't seen it from their POV. 2. Sovereignity which was always a topic and still is, is getting more nuanced - they want data residency, data localization and local resources, but there seems to be more willingness to accept global services on clouds. Classified systems continue to be an issue. Net net - we need to ensure we continue to build trust both on our Frontier models and their consistent availability, we need to get the right economics in place and spend more time in Europe communicating and building presence if we want AI adoption to keep pace with the US.

    2.4K21694371.3M viewsView on X
  • Aug 16, 202665x their median

    “ A super high bar for a VC is: do no harm.” @travisk says only 10% of VCs are able to do no harm, and only 1% are actually helpful: “ An operator who's running a company, if they're good, is a grandmaster of chess.”  ”And the VC is a chess enthusiast. They check in on the chess match once every three months and they're trying to make a mark on the world. They have an opinion.” “And you're like, don't go to Jordan and tell him how to dunk, and definitely don't go to him and tell him how to dribble. But it's hard because everybody has an opinion.” “The way to think about it is—you're on the Serengeti. If an antelope limps in the Serengeti, the lion will take it down, even if it's not hungry. Can't even fucking help it. It's just what he does. That's kind of the nature of most VCs.”

    1.3K1017686915K viewsView on X
  • Jul 18, 20268.2x their median

    Congrats to the full team behind Vikram-1 @SkyrootA big day for India & entrepreneurship. Spacetech no longer niche - will be one of the defining sectors of this decade globally - esp for India 👍👍 https://t.co/fU5gYV8wzN

    1.4K72221319K viewsView on X
  • Aug 22, 20266.4x their median

    we fear hospitals and forget most of us were born in one. the first room you ever entered was a hospital room @superhealth X @localhosthq spending saturday night reminding bengaluru of that, with live music in the corridors. the hospital paradox we treat it as where things end, when for most of us it's where everything started.

    274112825851.5M viewsView on X
  • Jun 27, 20264.8x their median

    Inspired by Founders Fund, we shot a game of Mafia in Bangalore. Here’s Episode 1 ☺️ https://t.co/QbYyWDSSZN

    696306965423K viewsView on X
  • Jun 29, 20264.4x their median

    I’m in Japan for a series of conferences and talks this week under the auspices of @jindalglobalUni. Arrived yesterday in time to join the Professors in a futile Sunday afternoon quest to see Mount Fuji. Pix in order: the poster of Mount Fuji we set out to see; the mist we actually saw (after a two-hour drive); and the Photoshop versions of what we wish we had seen! (My co-star in the pics is JGU VC Prof Raj Kumar).

    7442426074K viewsView on X
  • Jun 22, 20264.3x their median

    Air quality in Mumbai - last 45 days - has been better than seen in last few years ….. now all we need is some Rain 🌧️ - Had to take a 10 min break from a long day to stare at the sunset … https://t.co/5RTVtG8yhG

    7122529424K 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

#udaan#aayanboradia#umumba#आमचीmumba

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 179 interactions against 2.1M followers, an engagement rate of 0.008%. Measured over 9 original posts, its engagement rate beats 43% of 3,758 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 25K times each, and 0.705% of those impressions turn into an interaction. That is about 1.20% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.4 post a day over the last 30 days, with activity on roughly 47% of days. Most posts go out around 06:00 UTC, and Saturday is the busiest day of the week. Of the 9 posts sampled, 78% carry an image or video and 22% link out. The account's strongest tracked post pulled 55K interactions, about 310x its own typical post. Recurring topics include #udaan, #aayanboradia, #umumba.

What is Ronnie Screwvala's engagement rate on X?
Ronnie Screwvala (@RonnieScrewvala) has an engagement rate of 0.008%, based on the median interactions across 9 original posts from the last 30 days against 2,123,922 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.008%, Ronnie Screwvala sits above the 10th percentile of the 36,378 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 @RonnieScrewvala have real engagement?
Its engagement rate beats 43% of the tracked X accounts closest to it in follower count (3,758 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 @RonnieScrewvala post?
Most posts go out around 06:00 UTC, and Saturday is its busiest day, at roughly 1.43 posts per day across the measured window.

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