Kunal Kushwaha engagement report
@kunalstwt - 286K followers on X
Measured over 24 original posts from a 30-day window, last computed on September 21, 2026.
Engagement
A typical post picks up 73 interactions against 286K followers, an engagement rate of 0.026%. Measured over 24 original posts, its engagement rate beats 38% of 15,519 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 10K times each, and 0.708% of those impressions turn into an interaction. That is about 3.61% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.6 posts a day over the last 30 days, though only 40% of days saw any activity at all. Most posts go out around 11:00 UTC, and Sunday is the busiest day of the week. Of the 24 posts sampled, 75% carry an image or video and 58% link out. The account's strongest tracked post pulled 1.5K interactions, about 21x its own typical post. Recurring topics include #bharatbuilds, #firstcommit, #opensource.
Measured over 24 original posts from a 30-day window, last computed on September 21, 2026. Recurring tags: #bharatbuilds, #firstcommit, #opensource.
Compared with accounts its own size
Kunal Kushwaha's engagement rate beats 38% of the tracked X accounts closest to it in follower count (15,519 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 36% 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 0.026%, Kunal Kushwaha sits above the 25th percentile of the 157,233 accounts in this comparison. That places it in the below the median band, which runs 0.022% to 0.128%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.003% |
| 25th percentile | 0.022% |
| 50th percentile | 0.128% |
| 75th percentile | 0.604% |
| 90th percentile | 2.32% |
| 99th percentile | 83.4% |
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 11:00 UTC, and Sunday 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.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 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 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
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.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 75% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 58% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 75% 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.
- 58% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
- Its average post runs 457 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 30, 202621x their median
The PS5 currently costs around 70K, but I bought mine for 38K last year hehe
- Sep 20, 202615x their median
Bangalore mein cafes ke alawa karne ke liye kya hai?
- Sep 4, 20268.8x their median
Stop grinding DSA just to get a job. I know what it looks like from a tier three college. Companies don't come to your campus, your resume doesn't get shortlisted, your GPA isn't where you'd like it, you don't have a Codeforces rating to show off, and internships and full time offers feel far away. I've been close to the Indian education system long enough to know none of that tells you much about whether someone can actually build. That's why we started Bharat Builds. It's a fair shot for anyone who can ship something good. No resume shortlisting, no screening round. Students with the top projects go straight to a fast track interview with Amazon recruiters, for both internships and full time roles. Register, form a team, and join our first hackathon: https://t.co/2hXLwvtUiE
- Aug 31, 20267.8x their median
Making something people want at @ycombinator F26 Building simulations at @Simulithic to model user behaviour at scale. https://t.co/y4w6hXdiWr
- Sep 20, 20266.6x their median
https://t.co/hekO9VRf0M
- Sep 21, 20264.0x their median
I'm not going to tell you how to rock your new Apple devices, but if you're not a fan of screen protectors, I will tell you this… I've never used a screen protector on the iPhone 17 Pro Max and I don't have a single scratch on the screen. It pretty much looks like it did a year ago. Ceramic Shield 2 is no joke.
- Sep 6, 20263.4x their median
Ditch the Apple Watch and go outside https://t.co/NFTxkAD4i4
- Sep 6, 20261.8x their median
no astra today, will get to it tomorrow https://t.co/17MiRDJwWs
- Sep 3, 2026
We're giving away a MacBook Pro, iPhone 17, and iPad this week in the Rote Playoffs, probably the easiest hackathon you'll ever take part in. The idea is simple. Every time you ask an AI agent to do something, it starts from scratch. Same task, new reasoning, slightly different result. Rote records how your agent gets the job done and saves it as a Play you can run again anytime. To enter, pick one task you're sick of repeating (weekly reports, issue triage, project setup, whatever it is), do it once with your agent while Rote is running, and you've got a Play. Start here: https://t.co/eTur6fM2iL
- Aug 31, 2026
I've got like 10 emails in my inbox from companies building their own take on agent memory. It's a hot space right now. What is happening? Your agent's context window resets between sessions, so whatever the user told it yesterday is just gone unless you save it somewhere. The obvious fix is resending the whole chat history every time, but that gets expensive quick and the model starts missing stuff that actually matters. Met the @Oracle team in San Francisco recently, they have a blog on how they went about this with their oracleagentmemory package. 👉 Read it here: https://t.co/1QHhC3x9EF A language model pulls the important facts out of each conversation, saves them per user, and on long chats the model gets a short context card instead of the entire transcript. One number from their benchmark: 80 turn conversation, full history agent was at around 13,900 tokens per request. With memory, around 1,300. Same conversation, a tenth of the tokens. Sponsored by Oracle.
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
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 73 interactions against 286K followers, an engagement rate of 0.026%. Measured over 24 original posts, its engagement rate beats 38% of 15,519 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 10K times each, and 0.708% of those impressions turn into an interaction. That is about 3.61% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.6 posts a day over the last 30 days, though only 40% of days saw any activity at all. Most posts go out around 11:00 UTC, and Sunday is the busiest day of the week. Of the 24 posts sampled, 75% carry an image or video and 58% link out. The account's strongest tracked post pulled 1.5K interactions, about 21x its own typical post. Recurring topics include #bharatbuilds, #firstcommit, #opensource.
- What is Kunal Kushwaha's engagement rate on X?
- Kunal Kushwaha (@kunalstwt) has an engagement rate of 0.026%, based on the median interactions across 24 original posts from the last 30 days against 285,609 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.026%, Kunal Kushwaha sits above the 25th percentile of the 157,233 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 @kunalstwt have real engagement?
- Its engagement rate beats 38% of the tracked X accounts closest to it in follower count (15,519 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 @kunalstwt post?
- Most posts go out around 11:00 UTC, and Sunday is its busiest day, at roughly 3.6 posts per day across the measured window.