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Kunal Bahl engagement report

@1kunalbahl - 289K followers on X

Measured over 11 original posts from a 30-day window, last computed on October 21, 2026.

Engagement

Middle of its size range
Per follower
0.11%
of 289K followers
Per impression
0.916%
35K views on a typical post
Reach
12.1%
of its followers see a post
Typical post
319
interactions (median)
Saved
0.055%
19 bookmarks on a typical post
Posting rate
0.67/day
active 40% of days
Peak time
04:00 UTC
Thursday

A typical post picks up 319 interactions against 289K followers, an engagement rate of 0.11%. Measured over 11 original posts, its engagement rate beats 61% of 20,183 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 35K times each, and 0.916% of those impressions turn into an interaction. That is about 12.1% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.67 post a day over the last 30 days, though only 40% of days saw any activity at all. Most posts go out around 04:00 UTC, and Thursday is the busiest day of the week. Of the 11 posts sampled, 27% carry an image or video and 27% link out. The account's strongest tracked post pulled 261K interactions, about 2329x its own typical post.

Measured over 11 original posts from a 30-day window, last computed on October 21, 2026. Recurring tag: #stockinnews.

Compared with accounts its own size

Kunal Bahl's engagement rate beats 61% of the tracked X accounts closest to it in follower count (20,183 accounts, accounts of similar size (decile 9 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 40% 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 0.11%, Kunal Bahl sits above the 25th percentile of the 202,076 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.142%.

p100.004%
p250.024%
p50 (median)0.142%
p750.672%
p902.54%
p9982.5%
Engagement rate as a share of followers, across the 202,076 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,928 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 percentile0.142%
75th percentile0.672%
90th percentile2.54%
99th percentile82.5%

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 04:00 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: 04:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 04:00 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 video27% of posts+111%+108% to +115%34K
Outbound link27% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 27% 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.
  • 27% 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 159 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 3% below 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

  • Feb 2, 20262329x their median

    Wonderful to speak with my dear friend President Trump today. Delighted that Made in India products will now have a reduced tariff of 18%. Big thanks to President Trump on behalf of the 1.4 billion people of India for this wonderful announcement. When two large economies and the world’s largest democracies work together, it benefits our people and unlocks immense opportunities for mutually beneficial cooperation. President Trump’s leadership is vital for global peace, stability, and prosperity. India fully supports his efforts for peace. I look forward to working closely with him to take our partnership to unprecedented heights. @POTUS @realDonaldTrump

    215K28K14K4.4K35M viewsView on X
  • Apr 28, 2026840x their median

    Thankyou Google maps for protecting the cow's privacy https://t.co/9iAIWGLzjb

    126K16K8591.0K27M viewsView on X
  • Mar 24, 2026427x their median

    The entire row is alllllll yours. Welcome to United Relax Row, three adjacent United Economy seats with adjustable leg rests that can each be raised or lowered to create a cozy lie-flat space for stretching out... You'll also get a mattress pad, blanket and two pillows. If you’re traveling with kids, a plushie too! United Relax Row will be available starting next year on more than 200 of our 787s and 777s, each with up to 12 of these brand-new rows. https://t.co/bzHodhQ5Y8

    61K3.9K4.3K3.6K34M viewsView on X
  • Mar 17, 2026255x their median

    I have so much gratitude to people who wrote extremely complex software character-by-character. It already feels difficult to remember how much effort it really took. Thank you for getting us to this point.

    35K2.1K4.5K1.9K5.7M viewsView on X
  • May 20, 2026104x their median

    Today, we share a breakthrough on the planar unit distance problem, a famous open question first posed by Paul Erdős in 1946. For nearly 80 years, mathematicians believed the best possible solutions looked roughly like square grids. An OpenAI model has now disproved that belief, discovering an entirely new family of constructions that performs better. This marks the first time AI has autonomously solved a prominent open problem central to a field of mathematics.

    26K3.7K1.2K1.8K14M viewsView on X
  • May 22, 202691x their median

    what problem do you most hope AI will solve in the future? maybe we can help!

    12K70115K1.2K3.8M viewsView on X
  • Sep 20, 202552x their median

    In 2007, sitting at my desk in Microsoft I got an email that my H1B visa was rejected. It was crushing and numbing at that moment, but life-changing eventually when I moved back to 🇮🇳. To those impacted today, be positive. There is something much bigger & better in store for you.

    15K1.2K330871.2M viewsView on X
  • May 23, 20267.7x their median

    This is evoBOT, a robot helper developed by Germany’s Fraunhofer Institute for Material Flow and Logistics. It can grasp and carry goods to support cargo workers in transporting packages. evoBOT can also move smoothly across uneven terrain, including bumpy surfaces and sloping ground.

    1.8K4705195550K viewsView on X
  • Jan 15, 202613x their median

    Everyone is ordering food in hotels from food delivery apps. Time for introspection for hotels 🙃 https://t.co/zpep85VgtI

    1.9K4317834725K viewsView on X
  • Jul 1, 20266.6x their median

    Wow! This is a much watch of Alex Karp. His comments on LLMs and frontier models resonates As does “there are three tech centers I the world: The USA, china and Israel. Watch till the end https://t.co/UsUU0vd05a

    1.8K2045749362K 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

#stockinnews

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 319 interactions against 289K followers, an engagement rate of 0.11%. Measured over 11 original posts, its engagement rate beats 61% of 20,183 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 35K times each, and 0.916% of those impressions turn into an interaction. That is about 12.1% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.67 post a day over the last 30 days, though only 40% of days saw any activity at all. Most posts go out around 04:00 UTC, and Thursday is the busiest day of the week. Of the 11 posts sampled, 27% carry an image or video and 27% link out. The account's strongest tracked post pulled 261K interactions, about 2329x its own typical post.

What is Kunal Bahl's engagement rate on X?
Kunal Bahl (@1kunalbahl) has an engagement rate of 0.11%, based on the median interactions across 11 original posts from the last 30 days against 288,836 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.11%, Kunal Bahl sits above the 25th percentile of the 202,076 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 @1kunalbahl have real engagement?
Its engagement rate beats 61% of the tracked X accounts closest to it in follower count (20,183 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 @1kunalbahl post?
Most posts go out around 04:00 UTC, and Thursday is its busiest day, at roughly 0.67 posts per day across the measured window.

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