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Aravind Srinivas engagement report

@AravSrinivas - 1.2M followers on X

Measured over 59 original posts from a 30-day window, last computed on October 25, 2026.

Engagement

Middle of its size range
Per follower
0.027%
of 1.2M followers
Per impression
0.6%
52K views on a typical post
Reach
4.43%
of its followers see a post
Typical post
311
interactions (median)
Saved
0.15%
78 bookmarks on a typical post
Posting rate
5.87/day
active 97% of days
Peak time
15:00 UTC
Friday

A typical post picks up 311 interactions against 1.2M followers, an engagement rate of 0.027%. Measured over 59 original posts, its engagement rate beats 48% 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 52K times each, and 0.6% of those impressions turn into an interaction. That is about 4.43% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 5.9 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 15:00 UTC, and Friday is the busiest day of the week. Of the 59 posts sampled, 81% carry an image or video and 34% link out. The account's strongest tracked post pulled 23K interactions, about 75x its own typical post.

Measured over 59 original posts from a 30-day window, last computed on October 25, 2026.

Compared with accounts its own size

Aravind Srinivas's engagement rate beats 48% 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 35% 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 0.027%, Aravind Srinivas sits above the 25th percentile of the 205,261 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 205,261 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,894 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 15:00 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: 15:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 15:00 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 video81% of posts+111%+108% to +115%34K
Outbound link34% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 81% 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.
  • 34% 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 310 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

  • Sep 9, 202675x their median

    It’s THIN. It’s VERSATILE It’s DURABLE. It fits in your pocket. And it FOLDS. Meet iPhone Duo. https://t.co/lVpBmC36hx

    21K1.7K518315884K viewsView on X
  • Sep 1, 202646x their median

    Neoclouds have limited cybersecurity. Next time agents successfully go rouge, they'll try taking over a neocloud to run more copies. This is bad. Thus: neoclouds should greatly strengthen their cybersecurity and every company with strong cyber models should help with that.

    12K9796264692.2M viewsView on X
  • Sep 12, 202635x their median

    I just fixed my dishwasher with the help of ChatGPT. A trivial task. I had been about to order a new one. So this software has increased the country's real wealth yet decreased the measured GDP. The main economic indicator is structurally incapable of registering the thing that actually makes people better off, namely the growth of knowledge

    9.2K945433216721K viewsView on X
  • Sep 10, 202619x their median

    one aspires to be able to ship something like this in their lifetime. art and craftsmanship. https://t.co/DmLnS1flQ0

    5.6K19212133343K viewsView on X
  • Sep 3, 202619x their median

    We evaluated GPT-6 Astra on WANDR. It scored 0.682 at $11.98 per task, the highest score of any model we tested. GPT-6-Astra scored 13.5% higher than Fable 5.1 at 6.1% lower cost, and 27.0% higher than Opus 5 at 3.3% higher cost. https://t.co/SyYmD38qvq

    5.1K487143127906K viewsView on X
  • Sep 4, 202615x their median

    the end of markdown files. bitter lesson always wins.

    4.3K6626956915K viewsView on X
  • Sep 1, 202615x their median

    We're introducing hybrid compute for all users of the Perplexity Mac app. This will allow Computer to orchestrate local models that can run locally on Mac, particularly for agent steps involving sensitive and private files (eg your bloodwork, tax returns, litigation, etc). https://t.co/iypYpwcK3N

    4.0K285239118524K viewsView on X
  • Sep 1, 202615x their median

    excited 4 tmrw 

    4.3K7317660650K viewsView on X
  • Oct 16, 202614x their median

    REA (Reverse Engineer Anything) by @morluto is now a skill in Computer. Ask Computer to reverse-engineer an app and it inspects how the app works without its source code, then builds a working version. Tasks that use /reverse-engineer are free through October 31, up to 10,000 credits per user. Here are 5 apps Computer made with it, available to try for a limited time: 1) Figma: Design with layers and auto-layout, plus sign-in, cross-device sync, and multiplayer editing. Try it: https://t.co/FGGTblkCWY

    3.8K362100189900K viewsView on X
  • Oct 17, 202611x their median

    the physics behind the roadster - https://t.co/mBs3R9MBVS https://t.co/oTLgiI1dv0

    2.9K36110446237K 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 311 interactions against 1.2M followers, an engagement rate of 0.027%. Measured over 59 original posts, its engagement rate beats 48% 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 52K times each, and 0.6% of those impressions turn into an interaction. That is about 4.43% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 5.9 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 15:00 UTC, and Friday is the busiest day of the week. Of the 59 posts sampled, 81% carry an image or video and 34% link out. The account's strongest tracked post pulled 23K interactions, about 75x its own typical post.

What is Aravind Srinivas's engagement rate on X?
Aravind Srinivas (@AravSrinivas) has an engagement rate of 0.027%, based on the median interactions across 59 original posts from the last 30 days against 1,169,963 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.027%, Aravind Srinivas sits above the 25th percentile of the 205,261 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 @AravSrinivas have real engagement?
Its engagement rate beats 48% 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 @AravSrinivas post?
Most posts go out around 15:00 UTC, and Friday is its busiest day, at roughly 5.87 posts per day across the measured window.

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